Table of Contents - Lirmm

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KEY 

MA 1.1 – MA 1.14 Monday Morning Sessions 8:00 – 10:00am 

Plenary Monday Plenary Speaker 10:30 – 11:30am 

MP 1.1 – MP 1.14 Monday Afternoon Sessions 1:00 --3:00pm 

MP 2.1 – MP 2.14 Monday Afternoon Sessions 3:30 – 5:00pm 

TA 1.1 – TA 1.14 Tuesday Morning Sessions 8:00 – 10:00am 

Plenary Tuesday Plenary Speaker 10:30 – 11:30am 

TP 1.1 – TP 1.14 Tuiesday Afternoon Sessions 1:00 --3:00pm 

TP 2.1 – TP 2.14 Tuesday Afternoon Sessions 3:30 --5:30pm 

WA 1.1 – WA 1.14 Wednesday Morning Sessions 8:00 – 10:00am 

Plenary Wednesday Plenary Speaker 10:30 – 11:30am 

WP 1.1 – WP 1.14 Wednesday Afternoon Sessions 1:00 --3:00pm 

WP 2.1 – WP 2.14 Wednesday Afternoon Sessions 3:30 – 5:30pm 

* = Paper unavailable at time of printing 

Track 1-A 

MA-1.12: Adaptive & Learning Systems - Learning Systems 1 

Room: Suite 1054 Time: 8:00AM - 10:00AM 

Chair: Komi Gasso 

Co-Chair: Junichi Tatemura 

1. A Framework of Features Selection for the Case-based Reasoning. Wei-Chou Chen, 

Computer and Information Sciences, National Chiao Tung University, Hsinchu, Taiwan 30050, R. O. C., 

sirius@cis.nctu.edu.tw; Shian-Shyong Tseng, Computer and Information Sciences, National Chiao 

Tung University, Hsinchu, Taiwan 30050, R.O.C., sstseng@cis.nctu.edu.tw; Jin-Huei Chen, National 

Chiao Tung University, Computer Information and Science, HsinCho, Taiwan 300, ROC, 

jhchen@cis.nctu.edu.tw; Mon-Fong Jiang, Computer and Information Sciences, National Chiao Tung 

University, Hsinchu, Taiwan 30050, R.O.C., jmf@cis.nctu.edu.tw............................................................ 1

2. Learning Sensory Motor Coordination for Grasping by a Humanoid Robot. Mark CAMBRON, 

Center for Intelligent Systems, Electrical & Computer Science, Vanderbilt University, Nashville, TN 

37235, USA, mec@vuse.vanderbilt.edu; Richard PETERS II, Vanderbilt University, Electrical 

Engineering & Computer Science, School of Engineering, Nashville, Tennessee 37235, United 

States, rap2@vuse.vanderbilt.edu .......................................................................................................6 

3. Identification of an output error Takagi-Sugeno model. Komi GASSO, CRAN-INPL, 

Vandoeuvre-lès-Nancy, 54516, FRANCE, Gilles.Gasso@ensem.u-nancy.fr; Gilles MOUROT, CRAN- 

INPL, Vandoeuvre-lès-Nancy, 54516, France, Gilles.Mourot@ensem.u-nancy.fr; José RAGOT, 

Vandoeuvre-lès-Nancy, 54516, France, José.Ragot@ensem.u-nancy.fr ..........................................14 

4. A novel learning method for intelligent agents. Jalal BAGHDADCHI, Alfred University, Alfred, 

NY 14802-1205, USA, baghdadchi@alfred.edu .................................................................................20 

5. Adaptive Learning Control for Nonminimum Phase Systems. Xuezhen WANG, 3133 Coover 

Hall, Ames, Iowa 50011, U.S.A, xzwang@iastate.edu; Degang CHEN, Iowa State University, 

Electrical & Computer Engineering, College of Engineering, Ames, Iowa 50011, United States, 

djchen@iastate.edu ...........................................................................................................................26 

Track 1-B 

MP-1.12: Adaptive & Learning Systems - Learning Systems 2 

Room: Suite 1054 Time: 1:00PM - 3:00PM 

Chair: Gerry Dozier 

Co-Chair: Michael Aupetit 

1. Adaptive Learning Interface Used Physiological signals. Yuko ISHIWAKA, Hakodate 

National College of Technology, Hakodate, Hokkaido 042-8501, Japan, 

ishiwaka@complex.eng.hokudai.ac.jp ...............................................................................................32 

2. A Step Towards the Smart Campus: A Venture Project Based on Distance Learning by a 

Hybrid Video Conferencing System. Atsushi Kaneko, Mitsubishi Research Institute,Inc., Chiyodaku, 

Tokyo 100-8141, Japan, kinta@mri.co.jp; Noboru Sugino, Mitsubishi Research Institute, Inc., 

Chiyoda-ku, Tokyo 100-8141, Japan, sugino@mri.co.jp; Toru Suzuki, Mitsubishi Research Institute, 

Inc., Chiyoda-ku, Tokyo 100-8141, Japan, torusuzu@mri.co.jp; Shintaro Ishijima, Tokyo 

Metropolitan Institute of Technology, Hino-shi, Tokyo 191-0065, Japan, ishis@ec.tmit.ac.jp ............38 

3. A metadata based web distance learning platform. Francesca Cirillo, CRMPA - Research 

Centre in Pure and Applied Mathematics, Fisciano, SALERNO 84084, ITALY, fcirillo@crmpa.unisa.it; 

Andrea Cozzolino, CRMPA - Research Centre in Pure and Applied Mathematics, Fisciano, 

SALERNO 84084, ITALY, cozzolino@crmpa.unisa.it; Massimo De Santo, University of Salerno, 

DIIIE - Dipartimento di Ingegneria Informatica e Ingegneria Elettrica, Fisciano, Salerno 84084, ITALY, 

desanto@unisa.it; Marco Marsella, C.R.M.P.A. - Research Centre in Pure and Applied Mathematics, 

Fisciano, Salerno 84084, Italy, marmar@crmpa.unisa.it; Saverio Salerno, C.R.M.P.A. - 

Research Centre in Pure and Applied Mathematics, Fisciano, Salerno 84084, Italy, 

salerno@crmpa.unisa.it .....................................................................................................................44

4. Evolving Robot Behavior via Interactive Evolutionary Computation: From Real-Environment 

to Simulation. Gerry DOZIER, Department of Computer Science & Software Engineering, Auburn, 

AL 36849-5347, USA, gvdozier@eng.auburn.edu ................................................................................* 

5. Design discovery for social recommendation of web graphics. Junichi TATEMURA, 

University of Tokyo, Tokyo, 106-8558, Japan, tatemura@iis.u-tokyo.ac.jp; Keisuke SUZUKI, Institute 

of Industrial Science, University of Tokyo, Tokyo, 106-8558, JAPAN, 

keisuke@media.iis.u-tokyo.ac.jp ........................................................................................................49 

Chair: Hossam Meshref 

Co-Chair: Luc Berthouze 

Track 1-C 

MP-2.12: Adaptive & Learning Systems - Adaptive Systems 


1. Intelligent planning of trajectories for pick-and-place operations. Neelam PRAKASH, Punjab 

Engineering College, Panjab University, Chandigarh, U.T. 160015, India, sairam@ch1.dot.net.in; 

Tara Kamal, Institution of Engineers (India), Chandigarh, U.T. 160019, India, 

satveer_kaur@yahoo.com .................................................................................................................55 

2. The Artificial Immune System: Application to Autonomous Agents. Hossam MESHREF, 

Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, United States, 

hmeshref@vt.edu .................................................................................................................................... 61 

3. Fuzzy rule base optimisation: a pruning and merging approach. Komi GASSO, CRAN-INPL, 

Vandoeuvre-lès-Nancy, 54516, FRANCE, Gilles.Gasso@ensem.u-nancy.fr; Gilles MOUROT, CRAN- 

INPL, Vandoeuvre-lès-Nancy, 54516, FRANCE, Gilles.Mourot@ensem.u-nancy.fr; José RAGOT, 

CRAN-INPL, Vandoeuvre-lès-Nancy, 54516, France, Jose.Ragot@ensem.u-nancy.fr......................67 

Track 1-D 

WA-1.12: Adaptive & Learning Systems - Adaptive Agent Systems 


Chair: Maja Pantic 

Co-Chair: Horst-Michael Gross 

1. Self-adaptive expert system for facial expression analysis. Maja Pantic, Delft University of 

Technology, Faculty of Information Technology and Systems, Computer Science Department, Delft, 

2628 BZ, the Netherlands, M.Pantic@cs.tudelft.nl; Leon Rothkrantz, Delft University of Technology, 

Faculty of Information Technology and Systems, Computer Science Department, Delft, 2628 BZ, 

the Netherlands, L.J.M.Rothkrantz@cs.tudelft.nl ................................................................................ 73 

2. PERSES - a vision-based interactive mobile shopping assistant. Horst-Michael Gross, 

Ilmenau Technical University, Dept. of Neuroinformatics, Ilmenau, 98684, Germany, 

homi@informatik.tu-ilmenau.de; Hans-Joachim Boehme, Ilmenau Technical University, Dept. of 

Neuroinformatics, Ilmenau, 98684, Germany......................................................................................80

3. An episodic memory model using spiking neurons. Luc BERTHOUZE, Electrotechnical 

Laboratory (ETL), Information Science Division, Tsukuba, 305--8568, Japan, berthouz@etl.go.jp .... 86 

4. Implementing software connectors through first-class methods. Cheoljoo JEONG, ETRI- 

CSTL, Software Engineering Research Division, Taejon, 305-350, South Korea, 

cjeong@etri.re.kr.................................................................................................................................92 

5. Pitch Estimator for noisy speech signals. SAMY SHEDIED, Virginia Polytechnic Institute and 

State University, Blacksburg, VA 24060, USA, sshedied@vt.edu......................................................97 

Organizer: D. Dasgupta 

Track 1-E 

TP-1.12: Artifical Immune Systems & their Applications 


1. An approach to visualization of active position in brain by MEG. Takashi TAKUMA, Kyoto 

University, kyoto, kyoto 606-8501, japan, takuma@sys.i.kyoto-u.ac.jp; Naoki SAIWAKI, Osaka 

University, Graduate School of Engineering Science, Toyonaka, Osaka 560-8531, Japan, 

saiwaki@sys.es.osaka-u.ac.jp; K azuhiro SHINOSAKI, Osaka University, Medical School, Suita, 

Osaka 565-0871, Japan, sinosaki@psy.med.osaka-u.ac.jp; Masatoshi TAKEDA, Osaka University, 

Medical school, Suita, Osaka 565-0871, Japana, takeda@psy.med.osaka-u.ac.jp; Shogo NISHIDA, 

Osaka University, Graduateschool of System Engineering, Toyonaka, Osaka 560-8531, Japan, 

nishida@sys.es.osaka-u.ac.jp ..........................................................................................................101 

2. Hardware Fault Tolerance: An Immunological Solution. Daryl BRADLEY, University of York, 

Electronics, York, YO105DD, United Kingdom, dwb105@ohm.york.ac.uk; Andrew TYRRELL, 

University of York, Electronics, York, YO105DD, United Kingdom, amt@ohm.york.ac.uk................107 

3. Two Models of Immunization for Time Dependent Optimization. Alessio GASPAR, I3S 

Laboratory, Sophia Antipolis, Alpes Maritimes 06903, France, gaspar@essi.fr; Philippe Collard, 

I3S Laboratory, tsasi, Sophia Antipolis, Alpes Maritimes 06903, France, 

Philippe.Collard@i3s.unice.fr............................................................................................................113 

4. iNet: An Extensible Framework for Simulating Immune Network. Junichi SUZUKI, IEEE - 

Systems, Man, and Cybernetics Society, Dept. of Computer Science, Graduate Scool of Science and 

Technology, Keio University, Yokohama City, N/A 223-8522, Japan, suzuki@yy.cs.keio.ac.jp........119 

5. A comparison of negative and positive selection algorithms in novel pattern detection. 

Dipankar DASGUPTA, IEEE - Systems, Man, and Cybernetics Society, Memphis, Tennessee 

38152, USA, dasgupt@msci.memphis.edu; LUIS NINO, THE UNIVERSITY OF MEMPHIS, 

MATHEMATICAL SCIENCES, MEMPHIS, TN 38152, USA, ninol@msci.memphis.edu..................125 

6. Simulation of thrombin generation during plasmatic coagulation and primary hemostasis. 

Pascal BALLET, Ecole Nationale d'Ingénieurs, BREST, 29608, FRANCE, ballet@enib.fr; Jean- 

François Abgrall, French Medical School, Clinical Haematology, BREST, 29200, France, jeanfrancois.abgrall@univ-brest.fr; 

Vincent Rodin, Ecole Nationale d'Ingénieurs de Brest, LI2 - 

Laboratory of Software Engineering, ENIB, BREST, 29608, USA, rodin@enib.fr; Jacques Tisseau 

Sr, French National School, LI2 - Laboratory of Software Engineering, Ecole Nationale d'Ingénieurs 

de Brest, BREST, 29608, FRANCE, tisseau@enib.fr .......................................................................131

Organizer: Philippe Gorce 

Track 1-F 

TP-2.12: Modeling & Control of Intelligent Systems Based 

on Biological Approach 


1. A biological decision-theoretic intelligent agent solution to a herding problem in the context 

of distributed multi-agent systems. Ferat SAHIN, Virginia Polytechnic Institute and State 

University, The Bradley Electrical and Computer Engineering Department, Blacksburg, VA 24061, 

USA, sferat@vt.edu; John Bay, Raytheon Company, Falls Church, VA 22192, USA, 

jbay@fallschurch.esys.com ..............................................................................................................137 

2. Modeling virtual cities based on interaction between cells. Nobuko Kato, Department of 

Information Science and Electronics, Tsukuba College of Technology, Tsukuba, 305-0005, JAPAN, 

nobuko@a.tsukuba-tech.ac.jp; Tomoe Okuno, Institute of Information Sciences and Electronics, 

University of Tsukuba, Tsukuba, 305-8573, Japan, tomoe@algor.is.tsukuba.ac.jp; Rizu Suzuki, 

Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, 305-8573, Japan; 

Hitoshi Kanoh, Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, 

305-8573, Japan, kanoh@is.tsukuba.ac.jp .......................................................................................143 

3. Decision mechanisms model for the stepping motion over an obstacle under external 

perturbation. EL HAFI Farid -, U483 INSERM/LGMPB, IUT de CACHAN, Université Paris SUD, 

CACHAN, FRANCE 94234, FRANCE, farid.el-hafi@iut-cachan.u-psud.fr; Philippe GORCE -, U483 

INSERM/LGMPB, Université Paris Sud, CACHAN, FRANCE 94234, FRANCE, philippe.gorce@iutcachan.u-psud.fr 

...............................................................................................................................149 

4. Human-like behavior robot: application to diseabled people assistance. Philippe 

HOPPENOT -, University of Evry, CEMIF - Complex System Group, EVRY, FRANCE 91020, 

FRANCE, Hoppenot@@cemif.univ-evry.fr; COLLE Etienne -, University of Evry,, CEMIF - Complex 

System Group, Evry, FRANCE 91020, FRANCE, ecolle@cemif.univ-evry.fr ...................................155 

5. A neural Controller for a robotic hand with artificial tactile skins in grasping tasks. J.L. 

PEDRONO-MOLINA -, Universidad Politécnica de Cartagena., ETSI Industriales, Cartagena, 

Espagne 30203, Espagne, coronado@norte.tel.uva.es....................................................................161 

6. A new application of the direct neural model to the visual control of a robot. Juan lopez 

CORONADO -, Universidad Politécnica de Cartagena., ETSI industriales, Cartagena, Espagne 

30203, Espagne, coronado@norte.tel.uva.es; Antonio GUERRERO -, University of Cartagena, 

ETSI Industriales, Cartagena, Espagne 30203, Espagne, 

coronado@norte.tel.uva.es,kh@kddlabs.co.jp..................................................................................167

Track 1-G 

TA-1.12: Adaptive & Learning Systems - Machine Learning 1 


Chair: Gang Zhao 

Co-Chair: Sudeshna Sarkar 

1. Study of Methods for Model Reduction in Transition Systems. Sudeshna SARKAR, Computer 

Sc & Engg Department, Kharagpur, WB 721302, India, sudeshna@cse.iitkgp.ernet.in; A 

Subramaniam, Indian Institute of Technology Kharagpur, Computer Sc & Engg, Kharagpur, WB 

721302, India; Rajdeep Neogi, Indian Institute of Technology Kharagpur, Computer Sc & Engg, 

Kharagpur, WB 721 302, India..........................................................................................................172 

2. Proof of convergence about the Q-ae learning and analyses of its performance under MDPs. 

Gang Zhao, Osaka City University, Osaka, Osaka 547-0022, Japan, zhao.gang@kcn.ts.fujitsu.co.jp; 

Ruoying Sun, Osaka City University, Osaka, Osaka 547-0022, Japan, sunry@kdel.info.eng.osakacu.ac.jp; 

Shoji Tatsumi, Osaka City University, Faculty of Engineering, Osaka, Osaka 558-8585, 

Japan, tatsumi@info.eng.osaka-cu.ac.jp ..........................................................................................177 

3. The multi-parameter combination mind-evolutionary-based machine learning and its 

application. Keming XIE, Taiyuan University of Technology, Department of Automation, College of 

Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, P.R.China, 

kmxie@tyut.edu.cn; Changhua Mou, Taiyuan University of Technology, Department of Automation, 

College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, 

P.R.China, kmxie@tyut.edu.cn; Gang Xie, Taiyuan University of Technology, Department of 

Automation, College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 

030024, P.R.China, xieg@5415.com................................................................................................183 

4. Reinforcement Learning with Continuous Vector Output. Li QIANG, ShangHai JiaoTong 

University, Instrument Engineering Department, School of Electronics and Information engineering, 

ShangHai, ShangHai 200030, P.R. China, lq70749@mail1.sjtu.edu.cn; Zhu HongHai, ShangHai 

JiaoTong Uiniversity, Instrument Engineering Department, School of Electronics and Information 

engineering, ShangHai, ShangHai 200030, P. R. China; Lin LiangMing, ShangHai JiaoTong University, 

Instrument Engineering Department, School of Electronics and Information engineering, ShangHai, 

ShangHai 200030, P. R. China; Yan GuoZheng, 820, Instrument Engineering Department, School of 

Electronics and Information engineering, ShangHai, ShangHai 200030, P. R.China...............................188 

5. Improving clustering with Hidden Markov Models using Bayesian model selection. Cen LI, 

IEEE - Systems, Man, and Cybernetics Society, Nashville, TN 37235, USA, 

cenli@vuse.vanderbilt.edu; Gautam BISWAS, Vanderbilt University, Electrical Engineering & 

Computer Science, School of Engineering, Nashville, Tennessee 37235, United States, 

biswas@vuse.vanderbilt.edu ............................................................................................................194 

6. Refinement of Fuzzy Production Rules by Neuro-fuzzy networks. Eric C.C. TSANG, The Hong 

Kong Polytechnic University, Computing, Hong Kong, China, csetsang@comp.polyu.edu.hk; 

Shenshan QIU, The Hong Kong Polytechnic University, Computing, Hong Kong, China, 

csssqiu@comp.polyu.edu.hk; Daniel S. Yeung, The Hong Kong Polytechnic University, Computing, 

Hong Kong, China, csdaniel@comp.polyu.edu.hk............................................................................200

Chair: Kazuteru Miyazaki 

Co-Chair: Fang Wen 

Track 1-H 

WP-1.12: Adaptive & Learning Systems - Machine 2 


1. Reinforcement Learning for Penalty Avoiding Policy Making. Kazuteru MIYAZAKI, National 

Institution for Academic Degrees, Yokohama, 226-0026, Japan, teru@niad.titech.ac.jp..................206 

2. Applying Evolutionary Algorithm in Multi-peak Decision Problems. Zhang LEI, Automation 

Department, Tsinghua University, Beijing, 100084, China, z0300349@public3.bta.net.cn; Ren 

Shouju, Automation Department, Tsinghua University, Beijing, 100084, China, rsjdau@tsinghua.edu.cn.......................................................................................................................212 

3. The evaluating system of human skin surface condition by image processing. Yoshinao 

TAKEMAE, Information and Computer Science Ozawa&Saito Lab., Yokohama, Kanagawa 223-8522, 

Japan, takemae@ozawa.ics.keio.ac.jp; Hideo Saito, Ozawa&Saito Lab., Information and Computer 

Science, Keio University, Yokohama, Kanagawa 223-8522, Japan, saito@ozawa.ics.keio.ac.jp; 

Shinji Ozawa, Ozawa&Saito Lab., Information and Computer Science, Keio University, Yokohama, 

Kanagawa 223-8522, Japan, ozawa@ozawa.ics.keio.ac.jp .............................................................218 

4. Condition Monitoring for Helicopter Data. Fang Wen, University of Connecticut, Electrical 

Engineering, Storrs, CT 06269, USA, fangwen@engr.uconn.edu; Peter WILLETT, University of 

Connecticut, Electrical & Systems Engineering, School of Engineering, Storrs, Connecticut 06269, 

United States, WILLETT@ENG2.UCONN.EDU; Somnath Deb, Qualtech Systems, Inc., 

Wethersfield, CT 06109, USA, deb@teamqsi.com ...........................................................................224 

5. Fuzzy weighted classification rules induction from data. Eric Tsang, Department of 

Computing, Hong Kong Polytechnic University, Hong Kong, , csetsang@comp.polyu.edu.hk; 

Hongbing LI, Department of Computing, Hong Kong Polytechnic University, Hong Kong, USA, 

cshbli@comp.polyu.edu.hk; Xizhao Wang, Department of Computing, Hong Kong Polytechnic 

University, Hong Kong, ; Daniel YEUNG, Hong Kong Polytechnic University, Computing, Kowloon 

Hong Kong China; John LEE, Hong Kong Polytechnic University, Computing, Kowloon Hong Kong 

China ................................................................................................................................................230 

6. State transition rate based reinforcement learning. Takeshi OHASHI, Kyushu Institute of 

Technology, Iizuka, Fukuoka 813-8502, Japan, ohashi@mickey.ai.kyutech.ac.jp; Hirohiko 

NAKAMURA, Japan; Junichi MINATODANI, Japan; Shuichi ENOKIDA, Japan; Takaichi 

YOSHIDA, Japan; Toshiaki EJIMA, Japan......................................................................................236

Chair: N. Onishi 

Co-Chair: J. Munemori 

Track 1-I 

WP-2.12: Computational Cybernetics - Biocybernetics 


1. Finding Correspondence between Visual and Auditory Events Based on Perceptual 

Grouping Laws across Different Modalities. Noboru OHNISHI, Nagoya University, Dept. of 

Information Engineering, Nagoya, 464-8603, Japan, ohnishi@nuie.nagoya-u.ac.jp.........................242 

2. Giving Advice in Negotiation using Physiological Information. Masahide YUASA, Nitta lab, 

Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 

Yokohama, Kanagawa 226, Japan, yuasa@ntt.dis.titech.ac.jp; Yoshiaki YASUMURA, Nitta lab, 


Yokohama, Kanagawa 226, Japan, yasumura@ntt.dis.titech.ac.jp; Katsumi NITTA, Nitta lab, 


Yokohama, Kanagawa 226, Japan, nitta@ntt.dis.titech.ac.jp ...........................................................248 

3. Brain Model Hyper Communication Mechanisms. Jun Munemori, Center for Information 

Science, Wakayama University, Wakayama, Wakayama 640-8510, Japan, 

munemori@sys.wakayama-u.ac.jp ...................................................................................................254 

4. Relationship between Pain and Intersegmental Spinal Motion Characteristics in Low-back 

Pain Subjects. James Dickey, University of Guelph, Department of Human Biology and Nutritional 

Sciences, Guelph, Ontario N1G 2W1, Canada; Michael PIERRYNOWSKI, McMaster University, 

School of Rehabilitation Science, Health Sciences, Hamilton, Ontario L8N 3Z5, Canada, 

pierryn@fhs.csu.mcmaster.ca; Victoria GALEA, McMaster University, School of Rehabilitation 

Science, Health Sciences, Hamilton, Ontario L8N 3Z5, Canada, galeav@fhs.mcmaster.ca; Drew 

Bednar, McMaster University, Department of Surgery, Hamilton, Ontario Canada; Simon YANG, 

University of Guelph, School of Engineering, Guelph, Ontario N1G 2W1, Canada, 

syang@uoguelph.ca .........................................................................................................................260 

5. Adding Numbers with DNA. Piotr Wasiewicz, Warsaw University of Technology, Institute of 

Electronic Systems, Warsaw, 00-665, Poland, pwas@ieee.org; Witold Rudnicki, Interdisciplinary 

Centre for Mathematical and Computational Modelling, Warsaw University, Warsaw, 02-106, Poland, 

W.Rudnicki@icm.edu.pl; Jan Mulawka, Institute of Electronic Systems, Faculty of Electronics and 

Information Technology, Warsaw, 00-665, Poland, jml@ise.pw.edu.pl; Bogdan Lesyng, 

Interdisciplinary Centre for Mathematical and Computational Modelling, Warsaw University, Warsaw, 

02-306, Poland, lesyng@icm.edu.pl .................................................................................................265 

6. Information Flow and Processing in Anticipatory Systems. Tippure SUNDRESH Tip, Bell 

Laboratories, Naperville, IL 60566, USA, sundresh@lucent.co ............................................................ 271

Chair: K. Kostadis 

Co-Chair: W. Thissen 

Track 2-A 

WA-1.5: Applications - Agent Technologies 

Room: Edgewood Time: 8:00AM - 10:00AM 

1. A Cooperative Heuristic Search Approach By Multi Agents. Makoto KATOH, Department 

of Intelligent and Mechanical Engineering, Yokohama, Kanagawa 225-8502, Japan, 

katoh@cc.toin.ac.jp...........................................................................................................................277 

2. The Use of Design Patterns for the Development of Multi-Agent Systems. Kostas 

KOSTIADIS, University of Essex, Computer Science, Colchester, Essex CO4 3SQ, UK, 

kkosti@essex.ac.uk; Matthew Hunter, University of Essex, Computer Science, Colchester, Essex 

CO4 3SQ, UK, mchunt@essex.ac.uk; Huosheng Hu, University of Essex, Computer Science, 

Colchester, Essex CO4 3SQ, UK, hhu@essex.ac.uk .......................................................................280 

3. Modeling EAI-based E-Business solutions. Thang NGUYEN, Candle Corporation and California 

State University Long Beach, El Segundo, CA 90245, USA, Thang_Nguyen@Candle.com, 

tnnguyen@csulb.edu...................................................................................................................................286 

4. An Agent-Based Approach for Workflow Management. Hongmei GOU, Tsinghua University, 

Beijing, P.R.China, Beijing, 100084, P.R.China, hmgou@mail.au.tsinghua.edu.cn; Biqing Huang, 

Tsinghua University, Beijing, P.R.China, Beijing, 100084, P.R.China; Wenhuang Liu, Tsinghua 

University, Beijing, P.R.China, Beijing, 100084, P. R. China; Shouju Ren, Tsinghua University, 

Beijing, P.R.China, Beijing, 100084, P.R.China; Yu Li, Tsinghua University, Beijing, P.R.China, 

Beijing, 100084, P.R.China...............................................................................................................292 

5. Crowd behavior prediction using subjective factor based Multi Agent Systems. 

Amit SHARMA, Delhi College of Engineerng, New Delhi, Delhi 110022, India, 

amit_sharma@ieee.org.....................................................................................................................298 

6. Issue Formulation in a Multi-Actor Context: a five-step approach. Wil THISSEN A., Delft 

University of Technology, Delft, 2600 GA, Netherlands, thissen@sepa.tudelft.nl.............................301

Chair: S. Fichera 

Co-Chair: S. Tsuruta 

Track 2-B 

MA-1.8: Applications - Planning & Scheduling Techniques 1 


1. Delivery route scheduling method combining knowledge-base with general algorithms. 

setsuo TSURUTA, Hitachi, Ltd., Kawasaki, Kanagawa 215-0013, Japan, tsuruta@sdl.hitachi.co.jp; 

Kenichi OHSUGI, Hitachi,Ltd., Public Systems Department, Tokyo, 101-8010, Japan, 

ohsugi@siji.hitachi.co.jp; Hidenori NAOE, Systems Development Laboratory, Hitachi, Ltd., 1st 

Research Department, Kawasaki, 215-0013, Japan, naol@sdl.hitachi.co.jp; Takashi ONOYAMA, 

Hitachi Software Engineering Co.,Ltd., Resarch & Development Department, Yokohama, Kanagawa 

231-0015, Japan, ono@ori.hitachi-sk.co.jp.......................................................................................307 

2. A New Algorithm and Simulation for Computing Optimal Paths in a Dynamic and Weighted 

2-D Environment. Bin Xu, University of Notre Dame, Computer Science and Engineering, Notre 

Dame, IN 46556, USA, Bin.Xu.25@nd.edu; Danny Chen, University of Notre Dame, Computer 

Science and Engineering, Engineering, Notre Dame, IN 46556, USA, dchen@cse.nd.edu; Robert 

Szczerba, Lockheed Martin Federal System, Advanced Technology, Owego, NY 13760, USA, 

robert.j.szczerba@lmco.com.............................................................................................................313 

3. A Heuristic Gupta-based Flexible Flow-shop Scheduling Algorithm. Tzung-Pei HONG, 

Information Management, I-Shou University, Kaohsiung County, Taiwan 84008, R.O.C., 

tphong@csa500.isu.edu.tw; Chan-Lon Wang, Information Management, I-Shou University, 

Kaousiung County, Taiwan 84008, R.O.C.; Shyue-Liang Wang, Information Management, I-Shou 

University, Kaohsiung County, Taiwan R.O.C...................................................................................319 

4. Robust Division of Temporal Horizons in Production Planning. Fidel TORRES, Universidad 

de Los Andes, Santa Fe de Bogota, D.C. COLOMBIA, ftorres@uniandes.edu.co ...........................323 

5. Fuzzy scheduling of a flexible assembly line through an evolutionary algorithm. sergio 

FICHERA, University of Catania, Catania, 95125, Italy, sfichera@im.ing.unict.it; Giovanni Celano, 

University of Palermo, Dipartimento di Tecnologia e Produzione Meccanica, Palermo, 90128, Italy, 

gcelano@im.ing.unict.it; Antonio Costa, University of Catania, Istituto di Macchine, Catania, 95125, 

Italy; Giovanni Perrone, University of Basilicata, Dipartimento di Ingegneria e Fisica dell'Ambiente, 

Potenza, 85100, Italy, gioperro@dtpm.unipa.it .................................................................................328 

6. A Linear Time Transform for Probability Aware Planning. James Gunderson, University of 

Virginia, Computer Science, Charlottesville, VA 22903, USA, gunders@acm.org; Gabriel Ferrer, 

University of Virginia, Charlottesville, VA 22903, USA, 

ferrer@cs.virginia.edu..................................................................................................................................334

Chair: Thierry Scheurer 

Co-Chair: Dinesh Deva 

Track 2-C 

MP-1.8: Applications - Planning & Scheduling Techniques 2 


1. A method for solving nested combinatorial optimization problems - a case of optimizing a 

large-scale distribution network -. Takashi ONOYAMA, Hitachi Software Engineering Co.,Ltd., 

Resarch & Development Department, Yokohama, Kanagawa 231-0015, Japan, ono@ori.hitachisk.co.jp; 

Sen KUBOTA, Hitachi Software Engineering Co.,Ltd, Resarch & Development Department, 

Yokohama, Kanagawa 231-0015, Japan, kubosen@ori.hitachi-sk.co.jp; Kazuko OYANAGI, Hitachi 

Software Engineering Co.,Ltd., Resarch & Development Department, Yokohama, 231-0015, Japan, 

oyanagi@ori.hitachi-sk.co.jp; Setsuo TSURUTA, Hitachi,Ltd., Systems Development Labolatory, 

Kawasaki, Kanagawa 215-0013, Japan, tsuruta@sdl.hitachi.co.jp....................................................... 340 

2. Multiple-Value Decision Supporting Application in Software Production Facing Global 

Market. Zhang LEI, Automation Department, , z0300349@public3.bta.net.cn; Ren Shouju, Tsinghua 

University, Automation Department, Beijing, 100084, China, rsj-dau@tsinghua.edu.cn...................346 

3. Situation Theory - A Formal Model of Interactive Processes. Thierry SCHEURER, University of 

Manchester Institute of Science and Technology, Manchester, M60 1QD, UK, 

t.scheurer@co.umist.ac.uk .................................................................................................................... 352 

4. An Application of Situation Theory. Thierry SCHEURER, University of Manchester Institute of 

Science and Technology, Manchester, M60 1QD, UK, t.scheurer@co.umist.ac.uk..........................358 

5. Towards a standard for model specification and storage. Dinesh Deva, Vanderbilt University, 

Electrical Engineering and Computer Science, School of Engineering, Nashville, TN 37203, USA, 

dinesh.s.deva@vanderbilt.edu; Jonathan Sprinkle, Vanderbilt University, Electrical Engineering and 

Computer Science, School of Engineering, Nashville, TN 37203, USA, 

jonathan.sprinkle@vanderbilt.edu; Greg Nordstrom, Vanderbilt University, Electrical Engineering 

and Computer Science, School of Engineering, Nashville, TN 37203, USA, 

greg.nordstrom@vanderbilt.edu; Miklos Maroti, Vanderbilt University, Electrical Engineering and 


miklos.maroti@vanderbilt.edu...........................................................................................................364 

6. A digital library system with mechanisms of collaboration support. Hajime IWAMOTO, 

Kansai Electric Power, Technical Research Center, Amagasaki, Hyogo Pref. 661-0974, Japan, 

iwamoto@rdd.kepco.co.jp; Tomoki Nakajima Mr., Fujitsu, Department of Library System, Chiba, 

Chiba Pref. 261-8588, Japan ............................................................................................................370

Chair: Michael Moore 

Co-Chair: Germano Torres 

Track 2-D 

MP-2.8: Applications - Energy & Environment Systems 


1. Fuzzy controlled resonant DC-DC converters Istvan Denes, Peter Baranyi, Peter Szemes. 

Istvan DENES, Budapest University of Technology and Economics, Budapest, Pest 1111, Hungary, 

pityu2@goliat.eik.bme.hu..................................................................................................................376 

2. Prediction of the hydrologic behavior of a watershed using artificial neural networks and 

geographic information systems. Frederic Chiari, University of Corsica, SPE URA CNRS 2053, 

Faculty of Science and Technics, Corte, Corsica 20250, france, chiari@univ-corse.fr; Marielle Delhom, 

University of Corsica, SPE URA CNRS 2053, Faculty of Science and Technics, Corte, Corsica 20250, 

france, delhom@univ-corse.fr; Jean François Santucci, University of Corsica, SPE URA CNRS 2053, 

Faculty of Science and Technics, Corte, Corsica 20250, France, santucci@univ-corse.fr; Jean 

Baptiste Filippi, University of Corsica, URA CNRS 2053, Corte, Corsica 20250, France, filippi@univcorse.fr 

................................................................................................................................................... 382 

3. Fitting Fuzzy Membership Functions using Genetic Algorithms. Germano TORRES, Federal 

Engineering School at Itajuba, Elecrical Engineering Institute, Itajubá, MG 37500-000, Brazil, 

germano@iee.efei.br; Marcos Carvalho, University of Alfenas, Computer Science Department, 

Computer Science School, Brazil; Luiz Borges da Silva, Federal Engineering School at Itajuba, 

Electrical Engineering Institute, Brazil; Joao Pinto, University of Tennessee, Electrical Engineering 

Department, USA..............................................................................................................................387 

4. Scalability of ELISIMS: Comprehensive Detailed Simulation of the Electric Power Industry. 

Jonathan DOWELL, Los Alamos National Laboratory, Los Alamos, NM 87545, USA, 

ljdowell@lanl.gov; Martin DROZDA, Los Alamos National Laboratory, Los Alamos, NM 87545, USA, 

drozda@lanl.gov; Dale HENDERSON, Los Alamos National Laboratory, Los Alamos, NM 87545, 

USA, dbh@lanl.gov; Verne LOOSE, Los Alamos National Laboratory, Los Alamos, NM 87545, USA, 

vwl@lanl.gov; Madhav MARATHE, Los Alamos National Laboratory, Los Alamos, NM 87545, USA, 

marathe@lanl.gov; Doug ROBERTS, Los Alamos National Laboratory, Los Alamos, NM 87545, 

USA, dzzr@lanl.gov..........................................................................................................................393 

5. Integrating information systems in electric utilities. Michael MOORE, Vanderbilt University, 

Institute for Software Integrated Systems, Nashville, TN 37235, USA, msm@isis.vanderbilt.edu; 

Saeed Monemi, Vanderbilt University, Institute for Software Integrated Systems, Nashville, TN 

37235, USA, monemi@isis.vanderbilt.edu; Jainfeng Wang, Vanderbilt University, Institute for 

Software Integrated Systems, Nashville, TN 37235, USA, jfwang@isis.vanderbilt.edu....................399

Chair: Walter Lagas 

Co-Chair: Q. Wu 

Track 2-E 

TA-1.8: Applications - Communication Networks & Protocal 1 


1. Using Active Networking for Congestion Control in High-Speed Networks with Bursty 

Traffic. Tibor GYIRES, Illinois State University, Normal, Illinois 61790-5150, US, 

tbgyires@ilstu.edu ............................................................................................................................405 

2. Hybrid simplex genetic algorithm for blind equalization using RBF networks. Hai Lin, Dept. 

Electrical and Electronic Engineering, University of the Ryukyus, Nishihara, Okinawa 903-0213, 

Japan, linhai@me.eee.u-ryukyu.ac.jp; Katsumi Yamashita, Osaka Perfecture University, Dept. 

Electrical and Electronic Systems, Sakai, Osaka 599-8351, Japan, yamashita@comm.ees.osakafuu.ac.jp 

...............................................................................................................................................411 

3. Blind Nonlinear Channel Identification Based on Higher Order Statistics with Simplex 

Genetic Algorithm. Shusuke Narieda, University of the Ryukyus, Department of Electrical and 

Electronic Engineering, Nishihara, Okinawa 903-0213, Japan, shuh@augusta.eee.u-ryukyu.ac.jp; 

Yen-Wei Chen, University of the Ryukyus, Department of Electrical and Electronic Engineering, 

Nishihara, Okinawa 903-0213, Japan, chen@tec.u-ryukyu.ac.jp; Katsumi Yamashita, University of 

the Ryukyus, Department of Electrical and Electronic Engineering, Nishihara, Okinawa 903-0213, 

Japan, yamashita@eee.u-ryukyu.ac.jp .............................................................................................416 

4. Authentication Of Cellular Users Through Voice Verification. 

Susamma BARUA, California State University, Fullerton, Fullerton, CA 92834 - 687, U.S.A, 

sbarua@ecs.fullerton.edu .................................................................................................................420 

5. On A Methodology for Designing Adaptive Local Area Networks. Muhammad Zubairuddin, 

Mohammad Ali Jinnah University, Department of Electrical Engineering and Computer Science, 

Karachi, Sindh 75400, Pakistan, computerscientist@pakistanmail.com; Abbas Zaidi, Mohammad Ali 

Jinnah University, Department of Electrical Engineering and Computer Science, Karachi, Sindh 

75400, Pakistan, szaidi@cubexs.net.pk ...........................................................................................426 

6. The method of kinetic typography communication. Yasufumi Uekita, Institute of Art & Design, 

University of Tsukuba, Tsukuba, Ibaraki 305-0006, Japan, uekita@geijutsu.tsukuba.ac.jp; Junji 

Sakamoto, Instiute of Policy and Planning Sciences, University of Tsukuba, Tsukuba, Japan, 

sakamoto@envr.tsukuba.ac.jp; Masahiko Furukata, International Media Research Foundation, Shibuyaku, 

Tokyo 150-0001, Japan, furu@imrf.or.jp ..............................................................................................432

Chair: Noah Ternullo 

Co-Chair: G.V.S. Raju 

Track 2-F 

TP-1.8: Applications - Communication Networks & Protocal 2 


1. An Agent-based Scheme for Interference Cancellation in a DS/CDMA System. Jiann-Liang 

CHEN, National Dong Hwa University, Hualien, Taiwan, Hualien, Taiwan Taiwan, ROC, 

lchen@mail.ndhu.edu.tw...................................................................................................................437 

2. Location Tracking in a Mobile Communication Environment. Jiann-Liang CHEN, National 

Dong Hwa University, Hualien, Taiwan, Hualien, Taiwan Taiwan, ROC, lchen@mail.ndhu.edu.tw; 

Ming-Hua Yao, Computer Science & Information Engineering, National Dong Hwa University, 

Taiwan, ROC, david@mail.ndhu.edu.tw ...........................................................................................443 

3. Novel communication infrastructure for personal digital assistants. Noah TERNULLO, 

Lockheed Martin Federal Systems, Owego, NY 13827-3998, USA, noah@core.binghamton.edu; 

Nader Mehravari, Lockheed Martin Federal Systems, Advanced Technology Division, Cornell 

University, Owego, NY 13827-3998, USA, nader.mehravari@lmco.com; Patrick Madden, State 

University of New York at Binghamton, Computer Science, Watson School, Binghamton, NY 13902- 

6000, USA, pmadden@cs.binghamton.edu; Robert Szczerba, Lockheed Martin Federal Systems, 

Advanced Technology Division, Owego, NY 13827-3998, USA, robert.j.szczerba@lmco.com ........448 

4. Modeling Agent Negotiation. Jonathan Sprinkle, Vanderbilt University, Nashville, TN 37235, 

United States, Jonathan.Sprinkle@vanderbilt.edu; Christopher P. van Buskirk, Vanderbilt University, 

USA; Gabor Karsai, Vanderbilt University, Electrical Engineering, USA .................................................454 

5. Transmission Rate Manager for Fuzzy Traffic Control of ATM network. G.V.S. RAJU, 

University of Texas at San Antonio, San Antonio, Texas 78249-0665, USA, raju@utsa.edu ...........460 

6. Probabilistic Networks for Verifying Automated Testing of High Speed Telecommunication 

Equipment through the Development Lifecycle. Roy STERRITT, University of Ulster, 

Newtownabbey, County Antrim BT37 0QB, Northern Ireland, r.sterritt@ulst.ac.uk; Edwin CURRAN, 

University of Ulster, School of Information and Software Engineering (Jordanstown), Newtownabbey, 

BT37 0QB, United Kingdom, EP.Curran@ulst.ac.uk; Catheraine Shapcott, University of Ulster, 

Faculty of Informatics, School of Information and Software Engineering, Newtownabbey, County 

Antrim BT37 0QB, Northern Ireland, cm.shapcott@ulst.ac.uk; Kenny Adamson, University of Ulster, 

Faculty of Informatics, School of Information and Software Engineering, Newtownabbey, County 

Antrim BT37 0QB, Northern Ireland, k.adamson@ulst.ac.uk............................................................465

Organizer: Michael McGinnis 

Track 2-G 

TP-2.8: Military Systems Engineering Applications 


1. Just-In-Time Weather in the Synthetic Natural Environment. Paul West, United States Military 

Academy, West Point, NY 10996, USA, Paul-West@usma.edu; John Melendez, United States 

Military Academy, West Point, NY 10996, USA, John-Melendez@usma.edu ..................................472 

2. Design of the Reconnaissance, Surveillance and Target Acquisition Squadron for the 

Army's Interim Brigade Combat Team. John WILLIS, IEEE - Systems, Man, and Cybernetics 

Society, Dept. of Systems Engineering, West Point, NY 10996, USA, fj4238@usma.edu; Mark Davis, 

U.S. Military Academy, Dept. of Systems Engineering, West Point, NY 10996, USA, 

fm5552@usma.edu...........................................................................................................................478 

3. Joint Military Headquarters Design. Barry EZELL C, IEEE - Systems, Man, and Cybernetics 

Society, West Point, NY 10996, fb4060@usma.edu; Michael MCGINNIS, IEEE - Systems, Man, and 

Cybernetics Society, West Point, NY 10996, USA, mcginnism@usma.edu; Ratliff William L., USMA, 

Department of Systems Engineering, West point, NY 10996, fw4363@usma.edu...........................484 

4. Reengineering the Army Development System for Enlisted Soldier Management. Douglas 

Matty, USMA, Department of Systems Engineering, West point, NY 10996, USA, 

fm8780@usma.edu; Michael MCGINNIS, Department of Systems Engineering, West Point, NY 

10996, USA, mcginnism@usma.edu ................................................................................................490 

5. Designing a Knowledge Hierarchy for a OOTW Decision Support System for Military 

Planners. Barry EZELL C, Department of Systems Engineering, West Point, NY 10996, 

fb4060@usma.edu; Gregory Parnell, USMA, Department of Systems Engineering, West point, NY 

10996, USA, fj7526@usma.edu........................................................................................................495 

6. A Neural Network Based, Real Time Algorithm for Detection and Mitigation of Pilot Induced 

Oscillations. Chadwick Cox, Accurate Automation Corporation, Chattanooga, Tennessee 37421, 

United States, ccox@acccurate-automation.com; Carl Lewis, Accurate Automation Corporation, 

Engineering, Chattanooga, TN 37421, USA, clewis@accurate-automation.com; Charles Suchomel, 

Air Force Research Laboratory, AFRL/VACD, .................................................................................. 500 

Track 2-H 

WA-1.8: Comflict & Risk Analysis in Social Systems Management 1 


Organizer: Liping Fang 

1. Effectiveness of social systems sustained by residents' participation: A collection system 

of classified garbage and rubbish. Kei FUKUYAMA, Tottori University, Tottori, Tottori 680-8552, 

Japan, kei@sse.tottori-u.ac.jp ............................................................................................................... 506

2. Project risk allocation through contingent cost allocation. Keishi TANIMOTO, Tottori 

University, Tottori, Tottori 680-8552, Japan, tanimoto@sse.tottori-u.ac.jp........................................512 

3. Modeling Public Conflicts over Infrastructure Renewal Using a Japanese Case Study. 

Hiroyuki SAKAKIBARA, Yamaguchi University, Department of Civil Emgineering, Engineering, Ube, 

Yamaguchi 755-8611, Japan, hsakaki@jim2.civil.yamaguchi-u.ac.jp; Norio Okada, Kyoto University, 

Disaster Prevention Research Institute, Uji, Kyoto 611-0011, Japan, okada@imdr.dpri.kyoto-u.ac.jp; 

Keith HIPEL, University of Waterloo, Systems Design Engineering, Engineering, Waterloo, Ontario N2L 

3G1, Canada, kwhipel@sysoffice.watstar.uwaterloo.ca ....................................................................... 518 

4. Case-Based Reasoning Support System for Conflict Modeling. Liping Fang, Ryerson 

Polytechnic University, Department of Mechanical Engineering, Toronto, Ontario M5B 2K3, Canada, 

lfang@acs.ryerson.ca; Sara Ross, University of Waterloo, Department of Systems Design 

Engineering, Waterloo, Ontario N2L 3G1, Canada; Keith W. Hipel, University of Waterloo, 

Department of Systems Design Engineering, Waterloo, Ontario N2L 3G1, Canada, 

kwhipel@uwaterloo.ca ......................................................................................................................524 

5. Risk in Quality Violations under Uncertainty. Lloyd LOGAN, University of Waterloo, Systems 

Design Engineering, Waterloo, Ontario N2L 3G1, Canada, loganla.msn@attcanada.net ................531 

6. A Simulation Perspective on Knowledge Sharing, Conflict, and Complexity in Social 

Systems Management. Andrew P. Sage, George Mason University, Department of Systems 

Engineering and Operations Research, Fairfax, VA 22030-4444, U.S.A., asage@osf1.gmu.edu; 

Cynthia Taylor Small, George Mason University, Department of Systems Engineering and 

Operations Research, Fairfax, VA 22030-4444, U.S.A. ....................................................................536 

Track 2-I 

WP-1.8: Conflict & Risk Analysis in Social Systems Management 2 


Organizer: Liping Fang 

1. Personalized Service Management System. Chang-Jiun Tsai, National Chiao Tung University, 

Department of Computer and Information Sciences, National Chiao Tung University, Hsinchu, Taiwan 

30050, R. O. C., gis86808@cis.nctu.edu.tw; S. S. Tseng, Computer and Information Sciences, 

National Chiao Tung University, Hsinchu, Taiwan 30050, R. O. C., sstseng@cis.nctu.edu.tw.......... 542 

2. Reliable Judgement for Gray Zone in Monitoring System. Kenji TANAKA, University of 

Electro-Communications, Graduate School of Information Systems, Chofu, Tokyo 182-8585, JAPAN, 

tanaka@is.uec.ac.jp; Makoto ITOH, University of Electro-Communications, Graduate School of 

Information Systems, Chofu, Tokyo 182-8585, Japan, mako@is.uec.ac.jp......................................548

3. Decision Analysis for Mitigating Natural Disaster Risks. Hiroyuki TAMURA, Osaka University, 

Department of Systems and Human Science, Graduate School of Engineering Science, Toyonaka, 

Osaka 560-8531, JAPAN, tamura@sys.es.osaka-u.ac.jp; Kouji YAMAMOTO, Osaka University, 

Department of Systems and Human Science, Graduate School of Engineering Science, Toyonaka, 

Osaka 560-8531, JAPAN; Katsuhiro AKAZAWA, Osaka University, Department of Systems and 

Human Science, Graduate School of Engineering Science, Toyonaka, Osaka 560-8531, JAPAN, 

akazawa@sys.es.osaka-u.ac.jp; Kouichi TAJI, Osaka University, Departmeny of Systems and 

Human Science, Graduate School of Engineering Science, Toyonaka, Osaka 560-8531, JAPAN, 

taji@sys.es.osaka-u.ac.jp .................................................................................................................554 

4. The Optimal Repairing Rules under Demand Risk. Kiyoshi KOBAYASHI, Kyoto University, 

Department of Civil Engineering, Graduate School of Engineering, Kyoto, 606-8501, Japan, 

kkoba@psa2.kuciv.kyoto-u.ac.jp; Morimitsu KURINO, Kyoto University, Department of Civil Engineering, 

Graduate School of Engineering, Kyoto, 606-8501, Japan, mkurino@psa2.kuciv.kyoto-u.ac.jp .............560 

5. Train operation with arranging conflicts between commuters and travelers in railroad 

transport to and from a metropolitan airport. Eizo HIDESHIMA, Nagoya Institute of Technology, 

Department of Civil Engineering, Brasilia, Brasilia D.F. 70397-900, Brazil, 

Hideshima@ace.nitech.ac.jp; Norimitsu KOIKE, Nagoya Institute of Technology, Department of Civil 

Engineering, Nagoya, Aichi 466-8555, Japan, koike@keik1.ace.nitech.ac.jp; Koshi YAMAMOTO, 

Nagoya Institute of Technology, Department of Civil Engineering, Nagoya, Aichi 466-8555, Japan, 

yama@doboku2.ace.nitech.ac.jp; Hiroaki HADASE, Nagoya Institute of Technology, Department of 

Civil Engineering, Nagoya, Aichi 466-8555, Japan, hadase@keik1.ace.nitech.ac.jp........................566 

Chair: James Tien 

Co-Chair: Jerry Moore 

Track 2-J 

WP-2.8: Applications - Service & Public Sector Systems 


1. Prediction of lake inflows by an adaptive clustering technique. John Kolen, Institute for 

Human and Machine Cognition, University of West Florida, Computer Science, Pensacola, Florida 

32501, USA, jkolen@ai.uwf.edu; Rattikorn Hewett, Institute for Human and Machine Cognition, 

University of West Florida, Pensacola, FL 32501, USA, rhewett@ai.uwf.edu ..................................572 

2. A real time visual inspection system for automated prescription dispensing. 

Jerry MOORE, Systems & Electronics Inc., St. Louis, Missouri 63121-1126, USA, 

jmoore@seistl.com; Gary Waldman, Systems & Electronics Inc., St. Louis, Missouri 63121-1126, 

USA, garywald@aol.com; John Wootton, Systems & Electronics Inc., St. Louis, Missouri 63121- 

1126, USA, jwoot@seistl.com; Greg Hobson, Systems & Electronics Inc., St. Louis, Missouri 63121- 

1126, USA, hobson@seistl.com .......................................................................................................577 

3. On The Perceived Speed of Time Over Time. James TIEN, Rensselaer Polytechnic Institute, 

Troy, NY 12180-3590, USA, tienj@rpi.edu; James Burnes, Rensselaer Polytechnic Institute, 

Department of Decision Sciences & Engineering Systems, Troy, NY 12180-35, USA, 

burnej@rpi.edu .................................................................................................................................583

4. Adding Haptics and Sound to Spatial Curriculum. Jutta TREVIRANUS, IEEE - Systems, Man, 

and Cybernetics Society, Toronto, Ontario M5S 3H1, Canada, jutta.treviranus@utoronto.ca ..........588 

5. Accessible synchronous communication tools for people with disabilities. Deborah FELS, 

Ryerson Polytechnic University, Toronto, Ontario M5B 2K3, Canada, dfels@acs.ryerson.ca..........593 

6. Face pattern recognition under complex background. Tetsuo HATTORI, Toshinori 

YAMASAKI, IEEE - Systems, Man, and Cybernetics Society, Takamatsu City, 761-0396, JAPAN, 

hattori@eng.kagawa-u.ac.jp, Waka FUKUDA................................................................................3890 

Chair: R. Vilela 

Co-Chair: F-Y Wang 

Track 2-K 

WP-1.6: Applications - Simulation & Modeling 

Room: Oaklands Time: 1:00PM - 3:00PM 

1. Architecture and Implementation of Intelligent Control Systems for Smart Consumer 

Appliances via Internet. FEI-YUE WANG, University of Arizona, Tucson, AZ 85721, USA, 

feiyue@sie.arizona.edu; YUETONG LIN, University of Arizona, Department of Systems and Industrial 

Engineering, Tucson, AZ 85721, US, ylin@u.arizona.edu; QINGLONG WU, University of Arizona, 

Department of Systemsand Industrial Engineering, Tucson, AZ 85721, US, qinglong@u.arizona.edu; 

PETER M. FU, University of Arizona, Department of Systems and Industrial Engineering, Tucson, AZ 

85721, US; CHRIS YEO, University of Arizona, Department of Systems and Industrial Engineering, 

Tucson, AZ 85721, US, cyeo@u.arizona.edu...................................................................................599 

2. Self-Organization Simulation and Output Analysis. Zhang LEI, Automation Department, , 

z0300349@public3.bta.net.cn; Ren Shouju, Automation Department, , 

rsj-dau@tsinghua.edu.cn ..................................................................................................................603 

3. Self-Organization based DSS Framework. Zhang LEI, Automation Department, , 

z0300349@public3.bta.net.cn; Ren Shouju, Tsinghua University, Automation Department, Beijing, 

100084, China, rsj-dau@tsinghua.edu.cn.........................................................................................609 

4. Multiattribute utility theory applied on analysis of alternatives for 500 kv transmission lines 

building. RÔMULO VILELA, Companhia Hidro Elétrica do São Francisco, Engenharia, Recife, PE 

50722-970, Brazil, rvilela@chesf.gov.br; THIAGO PIRES, Universidade Federal de Pernambuco, 

Engenharia de producao, Centro de Tecnologia, Recife, PE 50.722-970, Brazil, ppgep@npd.ufpe.br; 

Adiel ALMEIDA, Federal University of Pernambuco, Recife, PE 50.722-970, Brazil, 

aalmeida@npd.ufpe.br......................................................................................................................615 

5. Participative Process Modelling. Yih-Chang Chen, Department of Computer Science, University 

of Warwick, Coventry, CV4 7AL, United Kingdom, cheny@dcs.warwick.ac.uk; Steve Russ, 

Department of Computer Science, University of Warwick, Coventry, CV4 7AL, United Kingdom, 

sbr@dcs.warwick.ac.uk; Meurig Beynon, Department of Computer Science, University of Warwick, 

Coventry, CV4 7AL, United Kingdom, Meurig.Beynon@dcs.warwick.ac.uk .....................................619

6. Interfacing a simulation engine to an embedded runtime environment. 

Brandon EAMES, Institute for Software Integrated Systems, Department of Electrical Engineering 

and Computer Science,Vanderbilt University, Nashville, TN 37203, USA, b.eames@vanderbilt.edu; 

Sandeep Neema, Institute for Software Integrated Systems, Department of Electrical Engineering 

and Computer Science, Vanderbilt University, Nashville, TN 37203, USA, 

neemask@vuse.vanderbilt.edu; Ted Bapty, Institute for Software Integrated Systems, Department of 

Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37203, USA, 

bapty@vuse.vanderbilt.edu; Jason Scott, Institute for Software Integrated Systems, Department of 

Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37203, USA, 

jscott@vuse.vanderbilt.edu...............................................................................................................625 

Track 3-A 

MA-1.13: Cognitive Systems & Instruction - Cognitive Systems & Engineering 


Chair: J.L. Koning 

Co-Chair: S. Rasmequan 

1. Automata for Interaction Protocols in Multiagent Systems. Jean-Luc KONING, Esisar, 

Valence cedex 9, 26902, France, Jean-Luc.Koning@esisar.inpg.fr .................................................630 

2. Theory of Measurement for Voltage and Affine Variables. Jonathan BARZILAI, P.O. Box 1000, 

Halifax, Nova Scotia B3J 2X4, Canada, Jonathan.Barzilai@dal.ca...................................................... 636 

3. An Integrated Creative Reminding Algorithm. Guihua WEN, Research Institute of Computer 

Applications,South China University of Technology, GuangZhou, GuangDong 510641, P.R.China, 

wgh_163@163.net............................................................................................................................641 

4. An Evolution Model for the Creative Design 

Guihua WEN, South China University of Technology, GuangZhou, GuangDong 510641, P.R.China, 

wgh_163@163.net............................................................................................................................645 

5. Cognitive Artefacts for Decision Support. Suwanna RASMEQUAN, Department of Computer 

Science, Coventry, CV4 7AL, United Kingdom, suwanna@dcs.warwick.ac.uk; Steve RUSS, 

University of Warwick, Coventry, CV5 6FD, UK, sbr@dcs.warwick.ac.uk ........................................651 

6. A Model for Building Planners that Design. Daniel GAINES, Vanderbilt University, Electrical 

Engineering & Computer Science, School of Engineering, Nashville, Tennessee United States, 

gainesdm@vuse.vanderbilt.edu; Xuhui Zhou, Vanderbilt University, Electrical Engineering and 

Computer Science, Engineering, Nashville, TN 37212, USA, zhoux1@vuse.vanderbilt.edu............657

Organizer: Kaori Yoshida 

Track 3-B 

MP-1.13: User Modeling & System Adaptation 


1. Generative user models for adaptive information retrieval. Yoichi MOTOMURA, IEEE - 

Systems, Man, and Cybernetics Society, Tsukuba, Ibaraki 305-8568, Japan, motomura@etl.go.jp; 

Kaori YOSHIDA, IEEE - Systems, Man, and Cybernetics Society, Iizuka city, Fukuoka pref. 820- 

8502, JAPAN, kaori@cse.kyutech.ac.jp; Kazunori Fujimoto, NTT Comminication Science 

Laboratory, Sagara-gun, Kyoto 619-0237, JAPAN, fujimoto@cslab.kecl.ntt.co.jp ............................665 

2. Evaluation of edge detection methods through psychological tests -- Is the detected edge 

really desirable for humans? --. Miho OHSAKI, Faculty of Information, Shizuoka University, 

Hamamatsu, Shizuoka 432-8011, Japan, miho@cs.inf.shizuoka.ac.jp; Takahiro SUGIYAMA, Faculty 

of Information, Shizuoka University, Hamamatsu, Shizuoka 432-8011, Japan, 

sugiyama@cs.inf.shizuoka.ac.jp; Hideaki OHNO, Faculty of Information, Shizuoka University, 

Hamamatsu, Shizuoka 432-8011, Japan ..........................................................................................671 

3. Querying and personalizing the web: A Multimedia Personal Assistant. 

Nadia Bianchi-Berthouze, Electrotechnical Laboratories (ETL), Intelligent Systems Division, 

Tsukuba, 305-8568, Japan, bianchi@etl.go.jp; Toshikazu Kato, Chuo University, Department of 

Industrial and Systems Engineering, Faculty of Science and Engineering, Tokyo, 112-8551, Japan, 

kato@indsys.chuo-u.ac.jp.................................................................................................................678 

4. An Approach to Transitional Rules of Emotional Words Based on The Theory for Subjective 

Observation Model. Naruki SHIRAHAMA, Kitakyushu National College of Technology, 

KITAKYUSHU, FUKUOKA 802-0985, JAPAN, naruki@kct.ac.jp......................................................684 

5. The Semantic network of KANSEI words. Hideyuki KOBAYASHI, OMRON Corp., ITRC, 

Ngaokakyo, Kyoto Pref. 617-0851, Japan, kbys@ari.ncl.omron.co.jp.................................................. 690 

Track 3-C 

MP-2.13: Robotic Construction - An Integrated Systems Approach to Teaching 1 


Organizer: Jerry Weinberg 

1. A Science and Technology Literacy Browser. John BUDENSKE, Architecture Technology 

Corporation, Eden Prairie, MN 55344, USA, budenske@atcorp.com; Jason JUDT, Architecture 

Technology Corporation, Eden Prairie, Minnesota 55344,United States, jjudt@atcorp.com; Jordan 

BONNEY, Architecture Tech Corporation, Eden Prairie, Minnesota 55344, United States, 

jbonney@atcorp.com; Jim Newhouse, Architecture Technology Corporation, Eden Prairie, 

Minnesota 55344, USA, jnewhouse@atcorp.com.............................................................................695

2. Micro-Rato Contest: A popular approach to improve self-study in electronics and computer 

science Session on Robotic Construction: An Integrated Systems Approach to Teaching. 

Luis Almeida, Dep. de Electronica, Universidade de Aveiro, Aveiro, 3810 AVEIRO, Portugal, 

lda@det.ua.pt; Pedro FONSECA, Universidade de Aveiro, Aveiro, 3810-193 AV, Portugal, 

pf@det.ua.pt; José Luís Azevedo, Dep. Electronica, Universidade de Aveiro, Aveiro, 3810 AVEIRO, 

Portugal, jla@det.ua.pt .......................................................................................................................... 701 

3. Use of the walking machine Flat Freddy in computer science education. Werner 

BROCKMANN, Medical University of Luebeck, Institute of Computer Engineering, Luebeck, D-23538, 

Germany, brockman@iti.mu-luebeck.de...........................................................................................706 

4. TeamStorms as a theory of instruction. Matthew Jadud,Indiana University Bloomington, 

Computer Science, Bloomington, Indiana 47405, USA, mjadud@indiana.edu.................................712 

Track 3-D 

TA-1.13: Robotics Construction Kits - An Integrated Systems 

Approach to Teaching 2 


Organizer: Jerry Weinberg 

1. Libre software environment for mini-robots programming. Vicente Matellán Olivera, 

Universidad Rey Juan Carlos, Móstoles, Madrid E 28933, Spain, vmo@gsyc.escet.urjc.es; Jesús 

González Barahona, Universidad Rey Juan Carlos, Móstoles, Madrid E-28933, Spain, 

jgb@gsyc.escet.urjc.es; José Centeno González, Universidad Rey Juan Carlos, Móstoles, Spain E- 

28933, USA, jcenteno@gsyc.escet.urjc.es;Pedro de las Heras Quirós, Universidad Rey Juan 

Carlos, Móstoles, Madrid E-28933, Spain, pheras@gsyc.escet.urjc.es............................................718 

2. Autonomous Robotics Projects for Learning Software Engineering. Barbara Nostrand, 

Wilkes University, Computer Science, Wilkes-Barre, Pennsylvania 18701, U.S.A., 

nostrand@acm.org ...........................................................................................................................724 

3. Design, Story-Telling, and Robots in Irish Primary Education. Fred Martin, Massachusetts 

Institute of Technology, Media Arts and Sciences, Cambridge, MA 02139, USA, 

fredm@media.mit.edu; Deirdre Butler, St. Patrick's College, Education Department, Dublin, Ireland, 

Deirdre.Butler@spd.ie; Wanda Gleason, Gleason Research, Concord, MA 01742, USA, 

wmg@gleasonresearch.com.............................................................................................................730 

4. Mobile Robotics for Freshman Design, Research, and High School Outreach. Robert 

AVANZATO, Penn State Abington, Abington, PA 19001, USA, rla5@psu.edu.......................................736

Chair: Rob Kremer 

Co-Chair: Brian Bailey 

Track 4-A 

MA-1.14: Human & Machine Systems - Human Computer 

Interaction & Virtual Reality 1 


1. An infrastructure for flexible, modular, multi-user intelligent interfaces. Rob Kremer, 

University of Calgary, Department of Computer Science, Calgary, Alberta T2N 1N4, Canada, 

kremer@cpsc.ucalgary.ca; Douglas Norrie, University of Calgary, Department of Mechanical and 

Manufacturing Engineering, Calgary, Alberta T2N 1N4, Canada, norrie@enme.ucalgary.ca; Roberto 

Flores, University of Calgary, Department of Computer Science, Calgary, Alberta T2N 1N4, Canada, 

norrie@enme.ucalgary.ca; Weiming Shen, National Research Council of Canada, Integrated 

Manufacturing Technologies Institute, London, Ontario N6G 4X8, Canada, 

Weiming.Shen@nrc.ca .....................................................................................................................739 

2. ePro: A System for Supporting Collaboration that Enhances Interaction. Masanori 

SUGIMOTO, University of Tokyo, Tokyo, 113-0033, Japan, sugi@r.dl.itc.u-tokyo.ac.jp...................745 

3. MIDAS : MIC Interactive Dance System. Ryotaro SUZUKI, ATR MIC Research Laboratories, 

Department 3, Soraku-gun, Kyoto-fu 619-0288, JAPAN, ryotaro@mic.atr.co.jp; Yuichi Iwadate, ATR 

MIC Research Laboratories, Department 3, Soraku-gun, Kyoto-fu 619-0288, JAPAN, 

yiwadate@mic.atr.co.jp; Masayuki Inoue, ATR MIC Research Laboratories, Department 3, Sorakugun, 

Kyoto-fu 619-0288, JAPAN, inoue@mic.atr.co.jp; Woontack Woo, ATR MIC Research 

Laboratories, Department 3, Soraku-gun, Kyoto-fu 619-0288, JAPAN, wwoo@mic.atr.co.jp ...........751 

4. Measuring the effects of interruptions on task performance in the user interface. Brian 

Bailey, University of Minnesota, Minneapolis, MN 55455, USA, bailey@cs.umn.edu; Joseph 

Konstan, University of Minnesota, Minneapolis, Minnesota 55415-1226, United States, 

konstan@cs.umn.edu; John Carlis, University of Minnesota, Computer Science and Engineering, 

Minneapolis, Minnesota 55415-1226, United States, carlis@tc.umn.edu .........................................757 

5. Analysis of Interaction in Musical Communication and Its Application. Tomohito 

YAMAMOTO, Tokyo Institute of Technology, Department of Computational Intelligence and Systems 

Science, Interdisciplinary Graduate School of Science and Engineering, Yokohama-Shi, kanagawa- 

Ken 226-8502, Japan, tyama@myk.dis.titech.ac.jp; Yoshihiro MIYAKE, Tokyo Institute of 

Technology, Department of Computational Intelligence and Systems Science, Yokohama-shi, 

Kanagawa-ken 226-8502, Japan, miyake@dis.titech.ac.jp...............................................................763 

6. Analysis of the Process of Mutual Interaction between Human and Internal Control Model. 

Takeshi MUTO, Tokyo Institute of Technology, Department of Computational Intelligence and 

Systems Science, Interdisciplinary Graduate School of Science and Engineering, Yokohama-shi, 

Kanagawa-ken 226-8502, Japan, muto@myk.dis.titech.ac.jp; Yoshihiro MIYAKE, Tokyo Institute of 

Technology, Department of Computational Intelligence and Systems Science, Yokohama-shi, 

Kanagawa-ken 226-8502, Japan, miyake@dis.titech.ac.jp...............................................................769

Chair: Vlaho Kostov 

Co-Chair: Mohan Trivedi 

Track 4-B 

MP-1.14: Human & Machine Systems - Human Computer 

Interaction & Virtual Reality 2 


1. Real-time rendering of artificial guidance. Xiaobu YUAN, Memorial University of Newfoundland, 

Dept. of Computer Science, St. John's, Newfoundland A1B 3X5, Canada, yuan@cs,mun.ca; Simon 

Yang, University of Guelph, School of Engineering, Guelph, ON N1G 2W1, Canada, 

syang@uoguelf.ca ............................................................................................................................775 

2. Modeling of spoken dialogue control for improvement of dialogue efficiency. Hideaki 

KIKUCHI, Waseda University, Advanced Research Institute for Science and Engineering, Shinjuku-ku, 

Tokyo 169-8555, Japan, kikuchi@shirai.info.waseda.ac.jp; Katsuhiko SHIRAI, Waseda University, 

Department of Information Science, School of Science and Engineering, Shinjuku-ku, Tokyo 169-8555, 

Japan, shirai@shirai.info.waseda.ac.jp ................................................................................................. 781 

3. An audio-video front-end for multimedia applications. Dmitry Zotkin, Institute for Advanced 

Computer Studies (UMIACS), University of Maryland, College Park, MD 20742, USA, 

dz@cs.umd.edu; Ramani Duraiswami, Institute for Advanced Computer Studies (UMIACS), 

University of Maryland, College Park, MD 20742, USA, ramani@umiacs.umd.edu; Larry Davis, 

Institute for Advanced Computer Studies (UMIACS), University of Maryland, College Park, MD 20742, 

USA, lsd@umiacs.umd.edu; Ismail Haritaoglu, IBM Almaden Resarch Center, San Jose, CA 95120, 

USA, ismailh@us.ibm.com ...............................................................................................................786 

4. Face-to-Face Interaction with an Electronic Personal Sales Assistant. Yasmine ARAFA, 

Imperial College of Science, Technology and Medicine, University of London, London, SW7 2BT, 

UK, y.arafa@ic.ac.uk; Abe Mamdani, Imperial College London, Dept of EEE, London, 

SW7 2BT, UK....................................................................................................................................792 

5. Emotion in User Interface, Voice Interaction System. Vlaho KOSTOV, Tokyo Metropolitan Inst. 

of Technology, Production, Information and Systems Engineering, Tokyo, 191-0065, Japan, 

vlaho@ieee.org; Shuichi Fukuda, Tokyo Metropolitan Institute of Technology, Production, Information 

and Systems Engineering, Tokyo, 191-0065, Japan, s.fukuda@ieee.org ............................................ 798 

6. Intelligent Environments and Active Camera Networks. Mohan TRIVEDI, University of 

California, San Diego, La Jolla, CA, 92093-0407, USA, mtrivedi@ucsd.edu; Ivana Mikic, UCSD, ECE, La 

Jolla, CA 92093-0407, USA; Ko-hsia Huang, UCSD, ECE, La Jolla, CA 92093-0407, USA ..................804

Chair: Susamma Barua 

Co-Chair: Ryotaro Suzuki 

Track 4-C 

MP-2.14: Human & Machine Systems – Multimedia Systems 


1. Synchronization Validation Mechanism in Multimedia Document Presentation. Gangshan 

WU, State Key Laboratory for Novell Software Technology, Computer Science and Technology 

department, Nanjing university, Nanjing, Jiangsu 210093, P.R. China, gswu@nju.edu.cn; Fuyan 

Zhang, State Key Laboratory for Novell Software Technology, Computer Science and technology 

department, Nanjing university, Nanjing, jiangsu 210093, P.R.China, fyzhang@nju.edu.cn ............810 

2. IMAGE WAVE : Rhythmic Synchronization of Multimedia Components. Ryotaro SUZUKI, 

ATR MIC Research Laboratories, Department 3, Soraku-gun, Kyoto-fu 619-0288, JAPAN, 

ryotaro@mic.atr.co.jp; Yuichi Iwadate, ATR MIC Research Laboratories, Department 3, Soraku-gun, 

Kyoto-fu 619-0288, JAPAN, yiwadate@mic.atr.co.jp; Michihiko Minoh, Kyoto University, Center for 

Information and Multimedia Studies, Kyoto-shi, Kyoto-fu 606-8501, JAPAN, minoh@media.kyotou.ac.jp 

...............................................................................................................................................816 

3. A Web-Based Technical Assistance Center. Susamma BARUA, California State University, 

Fullerton, Fullerton, CA 92834 - 687, U.S.A, sbarua@ecs.fullerton.edu ...................................................822 

4. Teachers Assistant: A Web-Based Application Using Java Server Pages And Java Database 

Connectivity. Susamma BARUA, California State University, Fullerton, Fullerton, CA 92834 - 687, 

U.S.A, sbarua@ecs.fullerton.edu......................................................................................................828 

5. Annotation and Indexing in the Video Management System VOM. Hideaki ITO, Chukyo 

University, Computer Science, Computer and Cognitive Sciences, Toyota, Aichi 470-0393, Japan, 

itoh@sccs.chukyo-u.ac.jp; Michio SATO, Chukyo University, Computer Science, Conputer and 

Cognitive Sciences, Toyota, Aichi 470-0393, Japan; Teruo FUKUMURA, Chukyo University, 

Computer Science, Computer and Cognitive Sciences, Toyota, Aichi 470-0393, Japan ..................834 

Track 4-D 

TA-1.14: Human & Machine Systems - Human Computer Interaction & Virtual 

Reality 3: Man-Machine Interface 1 


Chair: Ali Seken 

Co-Chair: Tsuyoshi Tojo 

1. 3-D drawing system via hand motion recognition from two cameras. Kiyofumi Abe, 

Ozawa&Saito Lab., Information and Computer Science, Keio University, Yokohama, Kanagawa 223- 

8522, Japan, kiyo@ozawa.ics.keio.ac.jp; Hideo Saito, Ozawa&Saito Lab., Information and Computer 

Science, Keio University, Yokohama, kanagawa 223-8522, Japan, saito@ozawa.ics.keio.ac.jp; Shinji 

Ozawa, Ozawa&Saito Lab., Information and Computer Science, Keio University, Yokohama, 

kanagawa 223-8522, Japan, ozawa@ozawa.ics.keio.ac.jp ..............................................................840

2. Intelligent Autonomous Navigation of Avatar using Hand Gesture Recognition. Jong-Sung 

KIM, ETRI, Internet Appliance Dept., Taejeon, 305-350, KOREA, joskim@etri.re.kr; Kwang-Hyun 

Park, KAIST,Division of E.E., Dept. of E.E.C.S., Taejeon, 305-701, KOREA, akaii@ctrsys.kaist.ac.kr; 

Jung-Bae Kim, KAIST, Division of E.E., Dept. of E.E.C.S., Taejeon, 305-701, KOREA, 

jbkim@ctrsys.kaist.ac.kr; Jun-Hyeong Do, KAIST, Division of E.E, Dept. of E.E.C.S., Taejeon, 305- 

701, KOREA, jhdo@ctrsys.kaist.ac.kr; Kyung-Joon Song, ETRI, Multimedia Service Department, 

Taejeon, 305-350, KOREA, kjsong@etri.re.kr; Zeungnam Bien, KAIST, Division of E.E, Dept. of 

E.E.C.S., Taejeon, 305-701, KOREA, zbien@ee.kaist.ac.kr ............................................................846 

3. A Speech Driven Embodied Interaction Robots System for Human Communication Support. 

Tomio Watanabe, Okayama Prefectural University, Soja, Okayama 719-1197, JAPAN, 

watanabe@cse.oka-pu.ac.jp; Masashi Okubo, Okayama Prefectural University, Soja, Okayama 719- 

1197, JAPAN, okubo@cse.oka-pu.ac.jp; Hiroki Ogawa, Okayama Prefectural University, Soja, 

Okayama 719-1197, JAPAN, ogawa@cis.coretec.co.jp ...................................................................852 

4. A Conversational Robot Utilizing Facial and Body Expressions. Tsuyoshi TOJO, Humanoid 

Robotics Institute, Waseda University, Shinjuku-ku, Tokyo 169-8555, Japan, 

tojo@tk.elec.waseda.ac.jp; Yosuke MATSUSAKA, Humanoid Robotics Institute, Waseda University, 

Shinjuku-ku, Tokyo 169-8555, Japan, yosuke@tk.elec.waseda.ac.jp; Tomotada ISHII, Humanoid 

Robotics Institute, Waseda University, Shinjuku-ku, Tokyo 169-8555, Japan, 

ishii@tk.elec.waseda.ac.jp; Tetsunori KOBAYASHI, Humanoid Robotics Institute, Waseda 

University, Shinjuku-ku, Tokyo 169-8555, Japan, koba@tk.elec.waseda.ac.jp ................................858 

5. The Human Agent: a work in progress toward human-humanoid interaction. Tamara 

ROGERS, Vanderbilt University, Nashville, TN 37235, USA, tamarar@vuse.vanderbilt.edu; D. 

WILKES, Vanderbilt University, Electrical Engineering & Computer Science, School of Engineering, 

Nashville, Tennessee United States, wilkes@vuse.vanderbilt.edu...................................................864 

6. Modeling Of Agent's Behavior In Human-robot Interaction Using Model Integrated 

Computing. Sangita Venkatachalam, Vanderbilt University, Nashville, TN 37203, USA, 

sangita.venkatachalam@vanderbilt.edu; Greg Nordstrom, Vanderbilt University, Electrical and 

Computer Engeering, School of Engineering, Nashville, TN 37235, USA, 

greg.nordstrom@vanderbilt.edu; Richard Peters II, Vanderbilt University, Electrical Engineering & 

Computer Science, School of Engineering, Nashville, Tennessee 37235, United States, 

rap2@vuse.vanderbilt.edu; Mitch Wilkes, Vanderbilt University, Electrical and Computer 

Engineering, School of Engineering, Nashville, TN 37212, USA, mitch.wilkes@vuse.vanderbilt.edu; 

Anthony Alford, Vanderbilt University, Nashville, Tennessee 37235, United States, 

alford@vuse.vanderbilt.edu ..............................................................................................................870

Track 4-E 

TP-1.14: Human & Machine Systems - Human Computer Interaction 

& Virtual Reality 4 - Man-Machine Interface 2 


Chair: Anton Walsdorf 

Co-Chair: Nobuyuki Nishiuchi 

1. Naturalistic Human-Robot Collaboration Based upon Mixed-Initiative Interactions in 

Teleoperating Environment. Yukio Horiguchi, Dept. of Precision Engineering, Graduate School of 

Engineering, Kyoto University, Kyoto, Kyoto 606-8501, Japan, yukio@prec.kyoto-u.ac.jp; Tetsuo 

Sawaragi, Dept. of Precision Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 

Kyoto 606-8501, Japan, sawaragi@prec.kyoto-u.ac.jp; Go Akashi, Dept. of Precision Engineering, 

Graduate School of Engineering, Kyoto University, Kyoto, Kyoto 606-8501, Japan, 

akashi@opal.plala.or.jp.....................................................................................................................876 

2. A Man-Machine Interface for Camera Control in Remote Monitoring Using Line-of-Sight. 

Nobuyuki NISHIUCHI, Kanagawa University, Industrial Engineering and Management, Yokohama, 

Kanagawa 221-8686, Japan, nisi@kurilab.ie.kanagawa-u.ac.jp; Kenzo Kurihara, Kanagawa 

University, Industrial Engineering and Management, Yokohama, Kanagawa 221-8686, Japan; 

Shingo Sakai, Kanagawa University, Industrial Engineering and Management, Yokohama, 

Kanagawa 221-8686, Japan; Hajime Takada, Yokohama National University, Yokohama, Kanagawa 

240, Japan ........................................................................................................................................882 

3. Human Tracking Based On Attention Distraction. Ali SEKMEN, Vanderbilt University, 

Nashville, TN 37235, USA, sekmen@vuse.vanderbilt.edu ...............................................................888 

4. Towards Socially Acceptable Robots. Ali SEKMEN, Vanderbilt University, Nashville, TN 37235, 

USA, sekmen@vuse.vanderbilt.edu .................................................................................................894 

5. An analysis of the amplitude factors of the Bunraku puppet's motion axis -- For the 

description, analysis, and generation of humanoids' motions --. Motofumi Hattori, Kobe Univ., 

Kobe,, Hyogo-ken 657-8501, Japan, hattori@octopus.cs.kobe-u.ac.jp; Satoshi Furuta, ; Syun 

Nishizawa, ; Satoshi Tadokoro, ; Toshi Takamori, ; Kazuhito Yamada, Doshisha Univ., Dept. of 

Literature, Japan...............................................................................................................................900 

6. Cognitive Man-Machine-Cooperation: Modeling Operator's General Objectives and their 

Role within a Cockpit Assistant System. Anton WALSDORF, Institute for Systemdynamic and 

Flightmechanic, Department of Aviation and Space, University of the Bundeswehr, Munich, 

Neubiberg, D-85577, Germany, Anton.Walsdorf@UniBw-Muenchen.de; Reiner ONKEN, University of 

the Federal Armed Forces, Munich (Universitaet der Bundeswehr Muenchen), Institute of System 

Dynamics and Flight Dynamics (Institut fuer Systemdynamik und Flugdynamik), Neubiberg, D-85577, 

Germany ...........................................................................................................................................906

Track 4-F 

TP-2.14: Human & Machine Systems - Human Computer Interaction & Virtual 

Reality 5: Man-Machine Interface 3 


Chair: Niall Cairne 

Co-Chair: Xiaobu Yuan 

1. Magical Device: A Small Device That Makes It Easy to Build Real-World Navigation Systems. 

Yasuharu KATSUNO, IBM Research, Yamato-shi, Kanagawa-ken 242-8502, Japan, 

katsuno@jp.ibm.com; Ryohji Honda, IBM Research, Yamato-shi, Kanagawa-ken 242-8502, Japan, 

ryoji@jp.ibm.com ..............................................................................................................................914 

2. Map building with ultrasonic sensor of indoor environment using neural networks. 

Javier TOLEDO MOREO, Universidad de Murcia, Cartagena, Murcia 30204, SPAIN, 

fjtm1@alu.um.es...............................................................................................................................920 

3. Seeing by drawing : Use of a force-feedback device for conveying basic geometric visual 

information. Nopporn CHOTIKAKAMTHORN, King Mongkut's Institute of Technology Ladkrabang, 

Faculty of Information Technology, Bangkok, 10520, Thailand, nopporn@it.kmitl.ac.th; Nattavadee 

HONGBOONMEE, King Mongkut's Institute of Technology Ladkrabang, Faculty of Information 

Technology, Thailand........................................................................................................................926 

4. Experiments on Operator Matching in Visual Teleoperation. Richard Thompson, Robotics 

Research Group, Oxford, OX1 3PJ, England, rlt@robots.ox.ac.uk; David Murray, Robotics Research 

Group, Oxford, OX1 3PJ, England; Ron Daniels, Robotics Research Group, Oxford, OX1 3PJ, 

England.............................................................................................................................................931 

5. A prototype adaptive finger-pointing interface for operating secondary controls in motor 

vehicles. Niall CAIRNIE, University of Dundee, Department of Applied Computing, Dundee, DD1 

4HN, United Kingdom, ncairnie@computing.dundee.ac.uk; Ian RICKETTS, University of Dundee, 

Department of Applied Computing, Dundee, DD1 4HN, United Kingdom; Stephen MCKENNA, 

University of Dundee, Department of Applied Computing, Dundee, DD1 4HN, United Kingdom; 

Gordon McAllister, University of Dundee, Department of Applied Computing, Dundee, DD1 4HN, 

United Kingdom, gmcallis@computing.dundee.ac.uk.......................................................................937 

6. System Status Evaluation: monitoring the state of agents in a humanoid system. Anthony 

ALFORD, Vanderbilt University, Electrical Engineering and Computer Science, School of Engineering, 

Nashville, TN 37235, USA, alford@vuse.vanderbilt.edu; D. Wilkes, Vanderbilt University, Electrical 

Engineering and Computer Science, School of Engineering, USA, wilkes@vuse.vanderbilt.edu; 

Kazuhiko KAWAMURA, Vanderbilt University, Electrical Engineering & Computer Science, School of 

Engineering, Nashville, Tennessee 37235, United States, kawamura@vuse.vanderbilt.edu .............. 943

Track 4-G 

WA-1.14: Human & Machine Systems - Human Computer Interaction 

& Virtual Reality 6: Virtual Reality 


Chair: Vincent Rodin 

Co-Chair: Stephen Hughes 

1. Teaching of Assembly Motion by Demonstration - Artificial Constrained Motion Primitives 

and its Implementation by Virtual Polyhedron -. Hiromu ONDA, Electrotechnical Laboratory, 

Tsukuba, Ibaraki 305-8568, Japan, onda@etl.go.jp..........................................................................949 

2. A Multiagent Architecture For Distributed Virtual Environments. Vincent RODIN, Ecole 

Nationale d'Ingenieurs de Brest, Brest, 29608, France, rodin@enib.fr; Alexis NEDELEC, Ecole 

Nationale D'Ingenieurs de Brest, Brest, 29608, France, nedelec@enib.fr ........................................955 

3. Effects of duration of immersion in a virtual environment on postural stability. Atsuo 

MURATA, Hiroshima City University, Department of Computer Science, Hiroshima, Hitoshima 731- 

3194, Japan, murata@cs.hiroshima-cu.ac.jp; Tetsuya Miyoshi, Hiroshima City University, Computer 

Science, Hiroshima, Hiroshima 731-3194, Japan, miyoshi@cs.hiroshima-cu.ac.jp..........................961 

4. Attentive camera navigation in virtual environments. Stephen HUGHES, University of 

Pittsburgh, Pittsburgh, PA 15235, USA, shughes@mail.sis.pitt.edu; Charles LEWIS, University of 

Pittsburgh, Information Science and Telecommunications, School of Information Sciences, Pittsburgh, 

Pennsylvania 15260, United States, ml@sis.pitt.edu........................................................................967 

5. Design of a Virtual Laboratory for Teaching Electric Machinery. Huan-Wen TZENG, National 

Taiwan Normal University, Industrial Education Department, Taipei, 106, Taiwan, 

hwtzeng@cc.ntnu.edu.tw..................................................................................................................971 

6. An interactive CG system based on virtual sculpting and virtual woodblock printing. Shinji 

MIZUNO, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan, 

mizuno@cc.tut.ac.jp; Minoru OKADA, IEEE - Systems, Man, and Cybernetics Society, Kasugai, Aichi 

487-8501, Japan, okada@cs.chubu.ac.jp; Shinji YAMAMOTO, Toyohashi University of Technology, 

Japan; Jun-ichiro TORIWAKI, Nagoya University, Japan................................................................... 977

Track 4-H 

WP-1.14: Human & Machine Systems - Virtual Reality & Systems Design 


Chair: Alexis Nedelec 

Co-Chiar: Toru Niki 

1. Development of a networked and sensorized environment. Toshio HORI, Electrotechnical 

Laboratory, AIST, MITI., Intelligent Systems Division, Tsukuba, Ibaraki 305-8568, JAPAN, 

toshi@etl.go.jp; Yoshifumi NISHIDA, Electrotechnical Laboratory, AIST, MITI., Intelligent Systems 

Division, Tsukuba, Ibaraki 305-8568, JAPAN, ynishida@etl.go.jp; Takashi SUEHIRO, Electrotechnical 

Laboratory, AIST, MITI., Intelligent Systems Division, Tsukuba, Ibaraki 305-8568, JAPAN, 

suehiro@etl.go.jp; Shigeoki HIRAI, Electrotechnical Laboratory, AIST, MITI., Intelligent Systems 

Division, Tsukuba, Ibaraki 305-8568, JAPAN, hirai@etl.go.jp .............................................................. 983 

2. The Hand Force Feedback: analysis and control of a haptic device for the human hand. 

Federico BARBAGLI Ing., PERCRO, Scuola Superiore S.Anna, Pisa, 56127, Italy, fed@sssup.it; 

Carlo Avizzano, PERCRO, Scuola Superiore S.Anna, Pisa, 56127, Italy, carlo@sssup.it; Massimo 

Bergamasco, PERCRO, Scuola Superiore S.Anna, Pisa, 56127, Italy, bergamasco@sssup.it ......... 989 

3. Washout filter design for a motorcycle simulator. Carlo Alberto Avizzano, PERCRO, Scuola 

Superiore S.Anna, Pisa, 56127, Italy, carlo@sssup.it; Federico BARBAGLI, PERCRO, Scuola 

Superiore S.Anna, Pisa, 56127, Italy, fed@sssup.it; Massimo Bergamasco, PERCRO, Scuola 

Superiore S.Anna, Pisa, 56127, Italy, 

bergamasco@sssup.it ........................................................................................................................... 995 

4. A development of simple haptic display. Toru NIKI, Ibaraki University, Hitachi, Ibaraki 316- 

8511, Japan, niki@cis.ibaraki.ac.jp................................................................................................. 1001 

5. Collaborative Prototyping in Distributed Virtual Reality using an Agent Communication 

Language. Alexis Nedelec, Ecole Nationale d'Ingénieurs de Brest, BREST, BRETAGNE 29608, 

FRANCE, nedelec@enib.fr; Vincent Rodin, Ecole Nationale d'Ingenieurs de Brest, Laboratoire 

d'Informatique Industrielle, BREST, 29608, FRANCE, rodin@enib.fr; Patrick Reignier, Ecole Nationale 

d'Ingenieurs de Brest, Laboratoire d'Informatique Industrielle, BREST, 29608, FRANCE, 

reignier@enib.fr..........................................................................................................................................1007 

6. Comparison of Matching Criteria for the Interposition Problem in Augmented Reality. 

Claude DUCHESNE, École Polytechnique de Montréal, Groupe de Recherche en Perception et 

Robotique, Département de génie électrique et de génie informatique, Montréal, Québec H3C 3A7, 

Canada, duchesne@ai.polymtl.ca; Jean-Yves Hervé, École Polytechnique de Montréal, Groupe de 

Recherche en Perception et Robotique, Département de génie électrique et de génie informatique, 

Montréal, Québec H3C 3A7, Canada, jyh@ai.polymtl.ca ............................................................... 1013

Chair: T Maeda 

Co-Chair: F Benaben 

Track 4-I 

WP-2.14: Testing & Design 


1. The Use of Class Graph to Analyze the Effectiveness of an Approach for Object-Oriented 

Class-Level Testing. Huo Yan CHEN, Jinan University, Guangzhou, Guangdong 510632, 

P.R. China, tchy@jnu.edu.cn............................................................................................................... 1019 

2. Two approaches to generate non-equivalent ground terms as test cases for object-oriented 

software. Huo Yan CHEN, Jinan University, Guangzhou, Guangdong 510632, P.R. China, 

tchy@jnu.edu.cn ............................................................................................................................. 1024 

3. A dynamic approach for object-oriented cluster-level tests by program instrumentation. 

Huo Yan CHEN, Jinan University, Guangzhou, Guangdong 510632, P.R. China, 

tchy@jnu.edu.cn ............................................................................................................................. 1030 

4. A process for improving multi-technology system high level design: modeling, verification 

and validation of complex optronic systems. Frederick BENABEN, LGI2P, NIMES - cedex 1, 

30035, FRANCE, frederick.benaben@site-eerie.ema.fr; Mireille LARNAC, LGI2P, NIMES - cedex 1, 

30035, FRANCE, mireille.larnac@site-eerie.ema.fr; Jean-Paul PIGNON, Thomson-CSF Optronique, 

Direction Scientifique, GUYANCOURT - cedex, 78283, FRANCE, jean-paul.pignon@tco.thomsoncsf.com; 

Janine MAGNIER, LGI2P, NIMES - cedex 1, 30035, FRANCE, janine.magnier@siteeerie.ema.fr..................................................................................................................................... 

1036 

5. Revised Design Calculations of Elevator Systems. Takuji MAEDA, Mitsubishi Electric 

Corporation, Amagasaki, Hyogo Pref. 661-8661, Japan, maeda@img.sdl.melco.co.jp; Kiyotoshi 

KOMAYA, Mitsubishi Electric Corporation, Amagasaki, Hyogo Pref. 661-8661, Japan .................1041 

Organizer: Christine Mitchell 

Patricia Jones 

Track 5-A 

MA-1.11: Distributed Collaborative Work 

Room: Belmont Time: 8:00AM - 10:00AM 

1. CLINT: A Prototype Logistics Collaboratory. Patricia JONES, IEEE - Systems, Man, and 

Cybernetics Society, Urbana, IL 61801, USA, p-jones5@uiuc.edu; Scott Schwemin, UIUC, M&IE, 

Urbana, IL 61801, USA, schwemin@uiuc.edu; Michael Dorneich, Honeywell Technology Center, 

Minneapolis, MN 55418, USA, dorneich_michael@htc.honeywell.com; Carolyn Dunmire, Army 

Research Laboratory, APG, MD USA, cdunmire@arl.mil ...............................................................1047

2. Collaborative Planning, Intelligent Agents, and Mobile Computing. Patricia JONES, 

University of Illinois at Urbana-Champaign, Mechanical Engineering, Urbana, Illinois 61801, United 

States, p-jones5@uiuc.edu; Andrew Graham, University of Illinois at Urbana, Dept. of Mechanical & 

Industrial Engineering, Urbana, IL 61801, USA, agraham@uiuc.edu; Keith Crouch, MITRE, Boston, 

MA USA, kcrouch@mitre.org.......................................................................................................... 1051 

3. Flexible Collaborative Support: An Architecture and Application. Patricia JONES, University 

of Illinois at Urbana-Champaign, Mechanical Engineering, Urbana, Illinois 61801, United States, pjones5@uiuc.edu; 

Martin Lucenti Jr., Harvard Medical School, USA ...........................................1057 

4. GISMOO: Collaborative planning for civil infrastructure management in a simple webenhanced 

virtual environment. Patricia JONES, University of Illinois at Urbana-Champaign, 

Mechanical Engineering, Urbana, Illinois 61801, United States, p-jones5@uiuc.edu; Lisa McCray, 

SRA, Inc., USA ............................................................................................................................... 1063 

5. C-SLANT: An Asynchronous Communications Tool to Support Distributed Work in the 

National Airspace System. Roger Chapman, The Ohio State University, Columbus, OH 43210, 

USA, chapman.152@osu.edu; Philip Smith, Ohio State University, Institute for Ergonomics, 

Engineering, Columbus, OH 43210, USA; Mark Klopfenstein, Metron, Columbus, OH 43210, USA; 

Joe Jezerinac, AMT Systems Engineering, Columbus, OH 43210, USA; Jodi Obradovich, Ohio 

State University, Institute for Ergonomics, Engineering, Columbus, OH 43210, USA; Elaine McCoy, 

Ohio University, Department of Aviation, Columbus, OH 43210, USA............................................1069 

6. GISMOO: collaborative planning for civil infrastructure management in a simple webenhanced 

virtual environment. Lisa McCray, SRA International, Intelligent Information Systems 

Division, Fairfax, VA 22033, USA, lisa_mccray@sra.com; Patricia JONES, University of Illinois at 

Urbana-Champaign, Mechanical and Industrial Engineering, Engineering, Urbana, Illinois 61801-2935, 

United States, p-jones5@uiuc.edu .............................................................................................................* 

Track 5-B 

MP-1.11: Human Operator Modeling in Automated Systems 

Room: Belmont Time: 1:00PM - 3:00PM 

Organizer: Christine Mitchell 

1. Modeling Human Operators in Constructive Simulations Through Software Agents. 

Jonathan Geist, Wright State University, BIE, Dayton, Oh USA, jgeist@cs.wright.edu; Kiran 

Kumar Patchigolla, Wright State University, USA, pkkumar@cs.wright.edu; S. NARAYANAN, 

Wright State University, Dayton, OH 45435, USA, snarayan@cs.wright.edu; David Hoagland, Air 

Force Research Laboratory, Wright State University, USA; Edward Martin, Air Force Research 

Laboratory, USA ............................................................................................................................. 1075 

2. Modeling, measuring, and mediating teamwork: The use of fuzzy cognitive maps and team 

member schema similarity to enhance BMC3I Decision Making. Michael MCNEESE, Air Force 

Research Laboratory, Information Analysis & Exploitation Branch, Crew System Interface Division, Wright 

Patterson AFB, OH 45433, USA, michael.mcneese@he.wpafb.af.mil; Joan Rentsch, The University of 

Tennessee, Dept. of Management, Business, Knoxville, TN 37996, USA, jrentsch@utkux.utcc.utk.edu; 

Karl Perusich, Purdue University, Dept. of Electrical Engineering Technology, Statewide Technology, 

South Bend, IN 46614, USA, kperusic@michianatoday.com..................................................................1081

3. The use of inductive inference models to understand human performance in supervisory 

control domains. Ling ROTHROCK, Wright State University, Department of Biomedical, Industrial, and 

Human Factors Engineering, College of Engineering and Computer Science, Dayton, Ohio 45435-0001, 

United States, lrothroc@cs.wright.edu; Alex KIRLIK, Georgia Institute of Technology, Atlanta, Georgia 

30332-0205, United States, kirlik@isye.gatech.edu.................................................................................1087 

4. OFMspert I: Operations Automation. Christine (Chris) M. Mitchell MITCHELL, IEEE - Systems, 

Man, and Cybernetics Society, Atlanta, GA 30332-0205, USA, cm@chmsr.gatech.edu; David 

Thurman, Georgia Institute of Technology, Center for Human-Machine Systems Research, School of 

Industrial and Systems Engineering, Atlanta, GA 30332-0205, USA, dave@chmsr.gatech.edu; David 

Brann, Georgia Institute of Technology, Center for Human-Machine Systems Researcg, Industrial & 

Systems Engineering, Atlanta, GA 30332-0205, USA, dmbrann@chmsr.gatech.edu ....................... 1093 

5. Design of warehousing and distribution systems: an object model of facilities, functions 

and information. T. Govindaraj, IEEE - Systems, Man, and Cybernetics Society, Atlanta, GA 30332- 

0205, USA, tgovindaraj@isye.gatech.edu; Edgar Blanco, USA; Douglas Bodner, USA; Marc 

Goetschalckx, USA; Leon McGinnis, USA; Gunter Sharp, USA ................................................1099 

6. Dynamic user interface adaptation based on operator role and task models. Robin Penner, 

University of Minnesota, Department of Mechanical and Industrial Engineering, Minneapolis, 

Minnesota 55455-0111, USA, rpenner@me.umn.edu; Erik Steinmetz, University of Minnesota, 

Mechanical Engineering, Minneapolis, MN 55455-0111, USA, erik@steinmetz.org....................... 1105 

Organizer: Patricia Jones 

Track 5-C 

MP-2.11: Intelligent Aiding & Tutoring 1 


1. Capturing changes in decision-maker behavior. Carolyn Fiebig-Brodie, IEEE - Systems, Man, 

and Cybernetics Society, Computer Science, Urbana, IL 61801, USA, fiebig@ifp.uiuc.edu; Caroline 

Hayes, University of Minnesota, Mechanical and Industrial Engineering, St. Paul, MN 55455, USA, 

hayes@me.umn.edu............................................................................................................................ 1111 

2. CoRAVEN: Model-Based Design of a Cognitive Tool for Real-Time Intelligence Monitoring 

and Analysis for Real-Time Intelligence Monitoring and Analysis. Patricia JONES, University of 

Illinois at Urbana-Champaign, Mechanical Engineering, Urbana, Illinois 61801, United States, pjones5@uiuc.edu; 

Caroline Hayes, University of Minnesota, Dept. of Mechanical Engineering, 

Minneapolis, MN USA, hayes@me.umn.edu; Peter Asaro, University of Illinois at Urbana, Beckman 

Institute, Urbana, IL 61801, USA, asaro@uiuc.edu; Hakan Ergan, University of Minnesota, Dept. of 

Mechanical Engineering, Minneapolis, MN USA; Nan Tu, University of Minnesota, Dept. of 

Mechanical Engineering, Minneapolis, MN USA; Li Lu, University of Minnesota, Dept. of Mechanical 

Engineering, Minneapolis, MN USA; Robin Penner, University of Minnesota, Dept. of Mechanical 

Engineering, Minneapolis, MN USA; Robin Bargar, University of Illinois at Urbana, NCSA, Urbana, IL 

USA, rbargar@ncsa.uiuc.edu; Sasha Chernyshenko, University of Illinois at Urbana, Dept. of 

Psychology, Champaign, IL 61820, USA; Insook Choi, University of Illinois at Urbana, Beckman 

Institute, Urbana, IL 61801, USA, ichoi@ncsa.uiuc.edu; Ole Mengshoel, UIUC/Rockwell Science 

Center, Dept. of Computer Science, USA; Nora Danner, University of Illinois at Urbana, Dept of 

Mech & Indust Engineering, Urbana, IL 61801, USA, ndanner@uiuc.edu; Janet Sniezek, Univ. of 

Illinois at Urbana, Dept. of Psychology, Champaign, IL USA, jsniezek@s.psych.uiuc.edu; David 

Wilkins, Univ. of Illinois at Urbana, Beckman Institute, Urbana, IL 61801, USA, dcw@uiuc.edu... 1117

3. Task Characteristics and Intelligent Aiding. Terri Lenox, University of Pittsburgh, Information 

Sciences, Pittsburgh, PA USA; Michael LEWIS, IEEE - Systems, Man, and Cybernetics Society, 

Pittsburgh, PA 15260, USA, ml@sis.pitt.edu; Susan Hahn, University of Pittsburgh, Information 

Sciences, Pittsburgh, PA USA; Katia Sycara, Carnegie Mellon University, Robotics Institute, 

Computer Science, Pittsburgh, PA USA; Terry Payne, Carnegie Mellon University, Robotics Institute, 

Computer Science, USA ................................................................................................................. 1123 

4. Scriptor: Using deictics, dialog, and supervised learning to convey instructions. Muhammad 

Nuri, Carnegie Mellon University, Pittsburgh, PA USA; Michael LEWIS, IEEE - Systems, Man, and 

Cybernetics Society, Pittsburgh, PA 15260, USA, ml@sis.pitt.edu; Stephen HUGHES, University of 

Pittsburgh, Information Sciences, Pittsburgh, PA 15235, USA, 

shughes@mail.sis.pitt.edu .............................................................................................................. 1128 

5. Internet-Based Intelligent Tutoring Systems for Complex Control. Alexander QUINN, Georgia 

Institute of Technology, Industrial & Systems Engr, Atlanta, Georgia 30307, United States, 

aquinn@cc.gatech.edu; Christine MITCHELL, Georgia Institute of Technology, Industrial and Systems 

Engineering, Atlanta, Georgia 30332-0205, United States, cm@chmsr.gatech.edu; Alan Chappell, 

Georgia Institute of Technology, Industrial and Systems Engineering, Atlanta, GA 30332, United States, 

arc@cc.gatech.edu; Wm. Michael Gray, Georgia Institute of Technology, Industrial and Systems 

Engineering, Atlanta, GA 30332, United States, wmgray@cc.gatech.edu .............................................1134 

Organizer: Patricia Jones 

Track 5-D 

TA-1.11:Intelligent Aiding & Tutoring 2 


1. The Systematic Application of the Apprenticeship Learning Pedagogy to Computer Tutorial 

Design. Michael Dorneich, Honeywell Technology Center, Minneapolis, MN USA; Patricia JONES, 


States, p-jones5@uiuc.edu............................................................................................................. 1140 

2. The Design and Implementation of a Learning Collaboratory. Michael Dorneich, Honeywell 

Technology Center, Minneapolis, MN USA, michael_dorneich@htc.honeywell.com; Patricia JONES, 


States, p-jones5@uiuc.edu............................................................................................................. 1146 

3. OFMspert II: Intelligent Tutoring for Complex Control. Christine (Chris) M. Mitchell 

MITCHELL, IEEE - Systems, Man, and Cybernetics Society, Atlanta, GA 30332-0205, USA, 

cm@chmsr.gatech.edu; Alan Chappell, Georgia Institute of Technology, Center for Human-Machine 

Systems Research, Industrial and Systems Engineering, Atlanta, GA 30332-0205, USA, 

arc@chmsr.gatech.edu; W. Gray, Georgia Institute of Technology, Center for Human-Machine 

Systems Research, Industrial & Systems Engineering, Atlanta, GA 30332-0205, USA, 

wmgray@chmsr.gatech.edu................................................................................................................ 1152 

4. An on-line tutor for warehouse design. T. Govindaraj,Georgia Institute of Technology, Atlanta, 

Georgia 30332-0205, United States, tgovindaraj@isye.gatech.edu; Edgar Blanco, USA; Douglas 

Bodner, USA; Marc Goetschalckx, USA; Leon McGinnis, USA; Gunter Sharp, USA ............... 1158

Track 5-E 

TP-1.11: Intelligent Manufacturing Systems & Human Sensory Factors in TPLC 1 


Organizer: Shuji Hashimoto 

1. General Aspects of HUTOP -- Human Sensory Factors in Total Production Life. Hiroyasu 

KOSHIMIZU, Chukyo University, Computer and Cognitive Science, Toyota, Aichi 470-0393, Japan, 

hiroyasu@sccs.chukyo-u.ac.jp; Seiji HATA, Kagawa University, Faculty of Engineering, Takamatsu, 

761-0396, Japan, hata@eng.kagawa-u.ac.jp; Hiroshi TOMITA, SANYO Electric Co., Ltd., 

Mechatronics Research Center, Moriguchi, Osaka 570-8502, JAPAN, kisimoto@screen.co.jp .....1163 

2. General Aspects of HUTOP -- Human Sensory Factors in Total Production Life Cycle--. 

Hiroyasu OSHIMIZU, Toyota, Aichi 470-0393, Japan, hiroyasu@sccs.chukyo-u.ac.jp .......................* 

3. Re-generation of Facial Image Eye-Contacting with Partner on TV Conference Environment. 

Yamaguchi TSUYOSHI, IEEE Chukyo University, Toyota, Aichi 470-0393, Japan, tsuyoshi@koshilab.sccs.chukyo-u.ac.jp..............................................................................................................................1169 

4. Factory workers-oriented programless visual inspection system. Takashi ANEZAKI, IEEE, 

Kadoma, Osaka 571-8502, Japan, anezaki@ped.mei.co.jp ...........................................................1175 

5. Adaptive reconstruction of anatomical surfaces from human body measurements. George 

Knopf, The University of Western Ontario, Mechanical and Materials Engineering, London, Ontario 

N6A 5B9, Canada, gknopf@engga.uwo.ca; Alireza Abouhossein, The University of Western 

Ontario, Mechanical and Materials Engineering, London, Ontario N6A 5B9, Canada, 

aabouhos@julian.uwo.ca................................................................................................................ 1181 

6. Automated Trend Diagnosis Using Neural Networks. Upali Herath, Waseda University, Dept. of 

Applied Physics, Tokyo, Tokyo 169-8555, Japan, herath@shalab.phys.waseda.ac.jp; Shuji 

HASHIMOTO, Waseda University, Dept. of Applied Physics, Tokyo, Tokyo 169-8555, Japan, 

shuji@shalab.phys.waseda.ac.jp......................................................................................................... 1186 

Track 5-F 

TP-2.11: Intelligent Manufacturing Systems & Human Sensory Factors in TPLC 2 


Organizer: Shuji Hashimoto 

1. Concept Design Visualization: - A component based approach -. Mikito IWAMASA, TOSHIBA 

Corp., Kawasaki, Kanagawa 212-8582, Japan, mikito.iwamasa@toshiba.co.jp .............................1192 

2. Trace visualization and analysis tool for supervisory control systems. Satoru Takahashi, 

Mitsubishi Electric Corporation, Industrial Electronics and Systems Laboratory, Amagasaki, Hyogo 

661-8661, Japan, takahasi@soc.sdl.melco.co.jp; Takuya Ishioka, Mitsubishi Electric Corporation, 

Industrial Electronics and Systems Laboratory, Amagasaki, Hyogo 661-8661, Japan, 

ishioka@con.sdl.melco.co.jp........................................................................................................... 1198

3. Complexity metrics for Petri net based logic control algorithms. Georg Frey, IEEE - Systems, 

Man, and Cybernetics Society, Kaiserslautern, 67653, Germany, frey@eit.uni-kl.de; Lothar Litz, 

University of Kaiserslautern, Institute of Process Automation, 67653 Kaiserslautern, Germany, 

litz@eit.uni-kl.de; Frank Klöckner, SIEMENS, Germany...............................................................1204 

4. Simulation of Human-Oriented Production Processes Aimed at Providing Higher Worker 

Satisfaction. Atsushi Ohuchi, SANYO Electric Co., Ltd., Moriguchi, Osaka 570-8502, Japan, aohuchi@rd.sanyo.co.jp; 

Yasuo Okuda, SANYO Electric Co., Ltd., ; Yoshinobu Nakamura, SANYO 

Electric Co., Ltd., ; Yoshio Ozawa, SANYO Electric Co., Ltd., Japan; Masaaki Hitomi, SANYO 

Electric Co., Ltd., Japan; Hiroshi Tomita, SANYO Electric Co., Ltd., Japan..................................1210 

5. Properties of Learning Knowledge-Based Controllers for Robotic Workcells and Dynamic 

Systems. Edward GRANT, North Carolina State University, Raleigh, NC 27695-7911, U.S.A., 

egrant@eos.ncsu.edu; Gordon Lee, North Carolina State University, Dean's Office, Raleigh, NC 

27695-7901, USA, glee@eos.ncsu.edu..........................................................................................1216 

6. The effects of synchronization of the temporal structure of sound and motion picture on the 

impression of audio-visual contents. Shin-ichiro IWAMIYA, Kyushu Tech. University, Fukuoka, 

815-8540, Japan, iwamiya@kyushu-id.ac.jp...................................................................................1222 

Chair: Leonid Slutski 

Co-Chair: Tetsuya Miyoshi 

Track 5-G 

WA-1.11: Human Interaction in Complex Systems - Human 

Factors in Systems Design 1 


1. Patterns of Joint Angles during Termination of Human Gait. Prachuab VANITCHATCHAVAN 

Ph.D., Faculty of Information Technology, Bangkok 10520, THAILAND, 

prachuab@it.kmitl.ac.th .................................................................................................................. 1226 

2. COMBINING adaptive teleoperations with force reflection. Leonid SLUTSKI, McGill University, 

Centre for Intelligent Machines & Dept. of Mechanical Eng-g, Montreal, QC H3A 2A7, Canada, 

slutski@cim.mcgill.ca; Anatoli SCHNEIDER, Fraunhofer Institut IFF, Magdeburg, 39106, Germany, 

schneider@iff.fhg.de............................................................................................................................ 1231 

3. Development of Hydraulic Bilateral-Servo Actuator for Powered Orthosis. Shinobu Imai, 

Tokyo Denki University, mechanical engineering, science and engineering, hiki, saitama 350-0311, 

japan, giga@saito.saitolab.n.dendai.ac.jp; Yukio Saito, Tokyo Denki University, mechanical 

engineering, science and engineering, hiki, saitama 350-0311, japan; Takamitu Tajima, Tokyo Denki 

University, mechanical engineering, science and engineering, hiki, saitama 350-0311, japan; Kengo 

Ohnishi, Tokyo Denki University, mechanical engineering, science and engineering, hiki, saitama 

350-0311, japan.............................................................................................................................. 1237 

4. Effect of Instruments Arrangement for Human Monitoring Behavior. Tetsuya MIYOSHI, IEEE 

- Systems, Man, and Cybernetics Society, Hiroshima, Hiroshima 731-3194, Japan, 

miyoshi@cs.hiroshima-cu.ac.jp; Atsuo MURATA, Department of Computer Science, Hiroshima City 

University, Hiroshima, Hitoshima 731-3194, JAPAN, murata@cs.hiroshima-cu.ac.jp ....................... 1243

5. Influence of A Priori Knowledge into Subjective Evaluation of Mental Commit Robot. 

Takanori SHIBATA, Mechanical Engineering Lab., MITI, Bio-Robotics Division, Robotics Dept., 

Tsukuba, Ibaraki 305-8564, Japan, shibata@mel.go.jp; Kazuo Tanie, Mechanical Engineering Lab, 

MITI, Tsukuba, Ibaraki 305-8564, Japan ........................................................................................1249 

6. Anthropomorphic hand control for robotic hand-arm system. Kengo OHNISHI, Tokyo Denki 

University, Department of Applied System Engineering, Graduate School of Science and Engineering, 

Hiki, Saitama 350-0311, Japan, ohnishi@saito.saitolab.n.dendai.ac.jp; Yukio Saito, Tokyo Denki 

University, Department of Intelligent Mechanical Engineering, School of Science and Engineering, 

Hiki, Saitama 350-0311, Japan, saito@n.dendai.ac.jp....................................................................1252 

Chair: Atsushi Uetake 

Co-Chiar: Hisaya Tanaka 

Track 5-H 

WP-1.11: Human Interaction in Complex Systems - Human 



1. A study on skill extraction in the machine operation.. Mitsunobu FUJITA, University of Tokyo, 

Department of Engineering Synthesis, Graduate School of Engineering, Bunkyo-ku, Tokyo 113-8656, 

JAPAN, mitsu@sl.t.u-tokyo.ac.jp; Minoru KAMATA, University of Tokyo, Department of Engineering 

Synthesis, Graduate school of Engineering, Bunkyo-ku, Tokyo 113-8656, JAPAN, admin@sl.t.utokyo.ac.jp; 

Keisuke MIYATA, Komatsu Ltd., Development Division, The Development Headquarters, 

Hiratsuka, Kanagawa 254-8567, JAPAN............................................................................................. 1260 

2. An Attempt of Feeling Analysis by the Nasal Temperature Change Model. Hisaya Tanaka, 

University of Aoyama Gakuin, Electric and Electronic Engineering, Tokyo, 157-8572, Japan, 

hisaya@ee.aoyama.ac.jp; Hideto Ide, University of Aoyama Gakuin, Electric and Electronic 

Engineering Section, Tokyo, 157-8572, Japan, ide@ee.aoyama.ac.jp; Yuji Nagashima, University of 

Kogakuin, Electronic engineering, Tokyo, 192-0015, JAPAN, nagasima@sin.cc.kogakuin.ac.jp ...... 1265 

3. Trade-off relationship between width and depth of visual information processing in 

measurement of functional visual field. Atsuo MURATA, Hiroshima City University, Department of 

Computer Science, Hiroshima, Hitoshima 731-3194, Japan, murata@cs.hiroshima-cu.ac.jp; Tetsuya 

MIYOSHI, Hiroshima City University, Computer Scientce, Hiroshima, Hiroshima 731-3194, Japan, 

miyoshi@cs.hiroshima-cu.ac.jp....................................................................................................... 1271 

4. Evaluate of visual fatigue during VDT tasks. Atsushi UETAKE, Tsukuba Researchi Institute, 

Sekisui Chemical Co. Ltd., Tsukuba, Ibaraki 300-4292, JAPAN, uetake@tsukuba.sekisui.co.jp; Atsuo 

MURATA, Hiroshima City University, Computre Science, Hiroshima, Hiroshima 731-3194, Japan, 

murata@cs.hiroshima-cu.ac.jp; Miho OSUKA, Tsukuba Research Institute, Sekisui Chemical 

Co.Ltd., Tsukuba, Ibaraki 300-4292, Japan; Yosuke TAKASAWA, Tsukuba Research Institute, 

Sekisui Chemical Co.Ltd., Tsukuba, Ibaraki 300-4292, JAPAN...................................................... 1277

5. A method to measure muscular fatigue in VDT tasks. Atsushi UETAKE, Tsukuba Research 

Institute, Sekisui Chemical Co. Ltd., Tsukuba, Ibaraki 300-4292, Japan, 

uetake@tsukuba.sekisui.co.jp; Atsuo MURATA, Hiroshima City University, Computer Science, 

Hiroshima, Hiroshima 731-3194, Japan, murata@cs.hiroshima-cu.ac.jp; Syuichiro MATSUMOTO, 

Tsukuba Research Institute, Sekisui Chemical Co.Ltd., Tsukuba, Ibaraki 300-4292, JAPAN; Yosuke 

TAKASAWA, Tsukuba Research Institute, , Sekisui Chemical Co.Ltd, Tsukuba, Ibaraki 300-4292, 

JAPAN ............................................................................................................................................ 1283 

6. Assessment of Extra High Quality Images using both EEG and Assessment Words on High 

Order Sensations. Hidehiko Hayashi, Knowledge Science, Japan Advanced Institution Tecnology 

of Science and Technology, Tatsunokuchi, Ishikawa 923-1292, Japan, hidehiko@jaist.ac.jp; Hideki 

Shirai, Information Science, Japan Advanced Institution Tecnology of Science and Technology, 

Tatsunokuchi, Ishikawa 923-1292, Japan, shirai@jaist.ac.jp; Masashi Kameda, Information Science, 

Japan Advanced Institution Tecnology of Science and Technology, Tatsunokuchi, Ishikawa 923-1292, 

Japan, kameda@jaist.ac.jp; Susumu Kunifuji, Knowlege Science, Japan Advanced Institution 

Tecnology of Science and Technology, Tatsunokuchi, Ishikawa 923-1292, Japan, kuni@jaist.ac.jp; 

Makoto Miyahara, Information Science, Japan Advanced Institution Tecnology of Science and 

Technology, Tatsunokuchi, Ishikawa 923-1292, Japan, miya@jaist.ac.jp ......................................1289 

Chair: Ronald Giuntini 

Co-Chair: Makoto Itoh 

Track 5-I 

WP-2.11: Human Interaction in Complex Systems - Human 



1. Dependence of Human Adaptation and Risk Compensation on Modification in Level of 

Automation for System Safety. Makoto Itoh, University of Electro-Communications, Graduate 

School of Information Systems, Chofu, Tokyo 182-8585, Japan, mako@is.uec.ac.jp; Daisuke 

Sakami, University of Electro-Communications, Graduate School of Information Systems, Chofu, 

Tokyo 182-8585, JAPAN, sakami@tanaka.is.uec.ac.ajp; Kenji Tanaka, University of Electro- 

Communications, Graduate School of Information Systems, Chofu, Tokyo 182-8585, JAPAN, 

tanaka@is.uec.ac.jp........................................................................................................................ 1295 

2. Control characteristics of two humans in cooperative task. Md. Mozasser RAHMAN, Mie 

University, Department of Mechanical Engineering, Tsu, Mie 514-8507, Japan, 

rahman@ss.mach.mie-u.ac.jp; Ryojun Ikeura, Mie University, Mechanical Engineering, Mie 

University, Tsu, Mie 514-8507, Japan, ikeura@ss.mach.mie-u.ac.jp; Kazuki Mizutani, Mie University, 

Mechanical Engineering, Engineering, Tsu, Mie 514-8507, Japan, mizutani@ss.mach.mie-u.ac.jp.....1301 

3. A study of characteristics of pointing devices for television operation. Kunihiko ISHIYAMA, 

NHK(Japan Broadcasting Corporation), Tokyo 157-8510, Japan, ishiyama@strl.nhk.or.jp............ 1307 

4. Object-Oriented Fusion-Diffusion Mechnism to Handle Crisp and Linguistic Information for 

Better Human-System Interface. Yoshihiro AKIYAMA, IBM Japan Ltd., Chuo-ku, Tokyo 103-8510, 

Japan, anyfm@jp.ibm.com ............................................................................................................. 1313

5. Operator's situation awareness under different levels of automation; Evaluations through 

probabilistic human cognitive simulations. Hiroshi FURUKAWA, Institute of Information Sciences 

and the Center for TARA, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan, 

furukawa@is.tsukuba.ac.jp; Toshiyuki INAGAKI, Institute of Information Science and the Center for 

TARA, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan; Yuji NIWA, Institute of Nuclear 

Technology, Institute of Nuclear Safety System, Mihama, Fukui 919-12, Japan................................ 1319 

6. Mathematical Characterization of Human Reliability for Multi-Task System Operations. 

Ronald GIUNTINI, Wyle Laboratories, Inc., Huntsville, Alabama 35807, U.S.A., 

rgiuntini@hnt.wylelabs.com ............................................................................................................ 1325 

Chair: M. Goodrich 

Co-Chair: T.Ogata 

Track 5-J 

TP-1.13: Human & Machine Systems - Human Factors 


1. Discretionary behavior switching: analysis and synthesis results. Michael GOODRICH, 

Brigham Young University, Provo, UT 84602, USA, mike@cs.byu.edu; Thomas Palmer, 

Brigham Young University, Computer Science Department, Provo, UT 84602, USA, 

tjpalmer@cs.byu.edu ...................................................................................................................... 1330 

2. A Multi-Technique Approach for User Identification through Keystroke Dynamics. 

Sajjad Haider, Mohammad Ali Jinnah University, R&D Cell, Karachi, Sindh 75400, Pakistan, 

shaider@n2mail.com; Ahmed Abbas, Mohammad Ali Jinnah University, R&D Cell, Karachi, Sindh 

75400, Pakistan, sabbas786@n2mail.com; Abbas Zaidi, Mohammad Ali Jinnah University, 

Department of Electrical Engineering and Computer Science, Karachi, Sindh 75400, Pakistan, 

szaidi@cubexs.net.pk................................................................................................................................1336 

3. A Violin Playing Algorithm Considering the Change of Phrase Impression. Tetsuya OGATA, 

Waseda University, Mechanical Engineering, School of Science and Engineering, Shinjuku, Tokyo 

169-8555, Japan, ogata@paradise.mech.waseda.ac.jp; Akitoshi SHIMURA, Waseda University, 

Mechanical Engineering, School of Science of Engineering, Shinjuku, Tokyo 169-8555, Japan, 

shimura@paradise.mech.waseda.ac.jp; Koji SHIBUYA, Ryukoku University, Mechanical and 

Systems Engineering, School of Science and Engineering, Otsu, Shiga 520-2194, Japan, 

koji@rins.ryukoku.ac.jp; Shigeki SUGANO, Waseda University, Mechanical Engineering, Shinjuku, 

Tokyo 169-8555, Japan, sugano@paradise.mech.waseda.ac.jp....................................................1342 

4. Dynamic registration for augmented reality in telerobotics applications. Jean-Yves Hervé, 

École Polytechnique de Montréal, Groupe de Recherche en Perception et Robotique, Département 

de génie électrique et de génie informatique, Montréal, Québec H3C 3A7, Canada, 

jyh@ai.polymtl.ca; Claude DUCHESNE, École Polytechnique de Montréal, Groupe de Recherche en 

Perception et Robotique, Département de génie électrique et de génie informatique, Montréal, 

Québec H3C 3A7, Canada, duchesne@ai.polymtl.ca; Véronique Pradines, GRPR, Ecole 

Polytechnique de Montréal, Génie électrique et informatique, Montréal, Québec H3C 3A7, CANADA, 

pradines@ai.polymtl.ca................................................................................................................... 1348

5. Controlling Non-verbal Information in Speaker-change for Spoken Dialogue. Kazumi 

AOYAMA, School of Science and Engineering, Waseda Univ., Shinjuku-ku, Tokyo 169-8555, 

Japan, kazumi@shirai.info.waseda.ac.jp; Masao YOKOYAMA, School of Science and Engineering, 

Waseda Univ., Shinjuku-ku, Tokyo 169-8555, Japan; Hideaki KIKUCHI, School of Science and 

Engineering, Waseda Univ., Shinjuku-ku, Tokyo 169-8555, Japan, kikuchi@shirai.info.waseda.ac.jp; 

Katsuhiko SHIRAI, School of Science and Engineering, Waseda Univ., Shinjuku-ku, Tokyo 169-8555, 

Japan ................................................................................................................................................... 1354 

Track 6-A 

MA-1.1: Image Processing & Machine Vision 1 - Human Centric Approaches 

Room: Tulip Grove E Time: 8:00AM - 10:00AM 

Chair: Shinjiro Kawato 

Co-Chair: Gordon McAllister 

1. Human detection and localization at indoor environment by home robot. Saeed Shiry 

Ghidary, Kobe University, Kobe, Hyogo 657-8501, Japan, shiry@octopus.cs.kobe-u.ac.jp; Yasushi 

Nakata, Kobe University, Japan, nakata@octopus.cs.kobe-u.ac.jp; Toshi Takamori, Kobe University, 

Japan, takamori@octopus.cs.kobe-u.ac.jp; Motofumi Hattori, Kobe University, Japan, 

hattori@octopus.cs.kobe-u.ac.jp ......................................................................................................... 1360 

2. Two-step approach for real-time eye tracking with a new filtering technique. Shinjiro 

KAWATO, ATR Media Integration and Communications Research Laboratories, Seika-cho, Kyoto 

619-0288, Japan, skawato@mic.atr.co.jp .......................................................................................1366 

3. Facial features for identification. A.Z. KOUZANI, Deakin University, Engineering and Technology, 

Geelong, Victoria 3217, Australia, kouzani@deakin.edu.au....................................................................1372 

4. A morphing technique for facial image representation. A.Z. KOUZANI, Deakin University, 

Engineering and Technology, Geelong, Victoria 3217, Australia, kouzani@deakin.edu.au............ 1378 

5. Automated Selective Coding of Human Faces Using Neural Networks and Wavelets. 

Jaeyoung Seol, Yonsei University, Dept. Electrical and Computer Engineering, Seoul, 120-749, 

KOREA, chulhee@yonsei.ac.kr; Chulhee Lee, Yonsei University, Dept. Electrical and Computer 

Engineering, Seoul, 120-749, KOREA, chulhee@yonsei.ac.kr.......................................................1384 

6. Tracking driver's hands using computer vision. Gordon MCALLISTER, University of Dundee, 

Department of Applied Computing, Dundee, DD1 4HN, Scotland, gmcallis@computing.dundee.ac.uk; 

Stephen MCKENNA, University of Dundee, Department of Applied Computing, Dundee, DD1 4HN, 

Scotland, stephen@computing.dundee.ac.uk; Ian RICKETTS, University of Dundee, Department of 

Applied Computing, Dundee, DD1 4HN, Scotland..........................................................................1388

Chair: Hideo Saito 

Co-Chair: Jianlin Gao 

Track 6-B 

MP-1.1: Image Processing & Machine Vision 2 - 3-D Methods 

Room: Tulip Grove E Time: 1:00PM - 3:00PM 

1. Fast Multiresolution Modeling of 3-D Objects Using Mesh-Based Wavelet Analysis. 

Hongbin ZHA, Kyushu University, Fukuoka, 812-8581, Japan, zha@is.kyushu-u.ac.jp; Tomoo 

MITUTOMI, Kyushu University, Japan; Tsutomu HASEGAWA, Kyushu University, Japan.................1394 

2. Fusing 3D Shapes at Different View Points to Obtain More Accurate Shape. Joon Bo Shim, 

Ohnishi Lab Department of Information Engineering, Department of Engineering, Nagoya University, 

Nagoya, Aichi-ken 464-8603, Japan, jshim@ohnishi.nuie.nagoya-u.ac.jp .............................................1400 

3. Generation of 3D model with super resolved texture from image sequence. Kenji 

NAKAMURA, Ozawa&Siato Lab. Dep. ics., Yokohama, 223-8522, Japan, 

kenji@ozawa.ics.keio.ac.jp; Hideo Saito, Ozawa&Saito Lab., Information & computer science, Keio 

University, Yokohama, Kanagawa 223-8511, Japan, saito@ozawa.ics.keio.ac.jp; Shinji Ozawa, 

Ozawa&Saito Lab., Information and Computer Science, Keio University, Yokohama, Kanagawa 

223-8511, Japan, ozawa@ozawa.ics.keio.ac.jp ......................................................................... 1406 

4. Mesh simplification with average planes for 3-D image. Jianlin GAO, New Jersey Institute of 

Technology, ECE Dept., Newark, NJ 07102, USA, jxg3409@njit.edu; Mengchu ZHOU, Njit, ECE 

Dept., Newark, New Jersey 07102-1824, United States, zhou@admin.njit.edu; Haimin WANG, Njit, 

Physics Dept., Newark, New Jersey 07102-1824, United States, haimin@hertz.njit.edu ............... 1412 

5. Super resolving texture mapping from multiple view images for 3D model construction. 

Hideo SAITO, Dept. Information and Computer Science, Keio University, Yokohama, Kanagawa 223- 

8522, Japan, saito@ozawa.ics.keio.ac.jp .......................................................................................1418 

6. Quantitative and qualitative comparison of three laser-range mapping algorithms using two 

types of laser scanner data. Alexander Scott, DePauw University, Greencastle, IN USA, 

ascott@depauw.edu; Lynne Parker, Oak Ridge National Laboratory, Oak Ridge, TN 37931-6355, 

USA, parkerle@ornl.gov; Claude Touzet, Oak Ridge National Laboratory, Oak Ridge, TN 37831- 

6355, USA....................................................................................................................................... 1422

Track 6-C 

MP-2.1: CAD & Vision in Robotics and Factory Automation 


Organizer: Hong Zhang Hang 

1. Sensor Fusion with Spatial Uncertainties in a Holonic Multirobot Workcell. Mikko 

SALLINEN, VTT Automation, Mechatronic Systems, OULU, 90571, Finland, 

Mikko.Sallinen@vtt.fi; Tapio Heikkilä, VTT Automation, Mechatronic Systems, OULU, 90751, 

Finland, Tapio.Heikkila@vtt.fi ......................................................................................................... 1428 

2. Reactive assembly planning in a dynamic virtual assembly environment. Xiaobu YUAN, 

Memorial University of Newfoundland, Computer Science, St. John's, Newfoundland A1B 3X5, Canada, 

yuan@cs,mun.ca; Simon YANG, University of Guelph, School of Engineering, College of Physical and 

Engineering Science, Guelph, Ontario N1G 2W1, Canada, syang@uoguelph.ca .................................1436 

3. Hybrid Video Using Motion Estimation. Jonathan BALDWIN, University of Alberta, Computing 

Science, Edmonton, Alberta T6G 2H1, Canada, baldwin@cs.ualberta.ca; Anup BASU, University of 

Alberta, Computing Science, Canada; Hong ZHANG, University of Alberta, Computing Science, 

Edmonton, Canada, zhang@cs.ualberta.ca ...................................................................................1442 

4. An intelligent vision guided telerobotic system for file manipulation and office automation. 

Kevin STANLEY, National Research Council of Canada, Innovation Centre-Vancouver, Vancouver, 

BC V6T 1W5, Canada, kevin.stanley@nrc.ca; Jonathan Wu, National Research Council of Canada, 

Innovation Centre Vancouver, Vancouver, BC V6T 1W5, Canada, jonathan.wu@nrc.ca; William 

GRUVER, Simon Fraser University, School of Engineering Science, Burnaby, British Columbia 

V5A1S6, Canada, gruver@cs.sfu.ca ..............................................................................................1448 

5. HOLDeR: a layered system for vision-guided robotics. Christopher Smith, University of New 

Mexico, Electrical and Computer Engineering, Albuquerque, New Mexico 87131-1356, United States, 

chsmith@eece.unm.edu; Doug Perrin, University of Minnesota, Computer Science and Engineering, 

Minneapolis, MN 55455, USA, dperrin@cs.umn.edu......................................................................1454 

Track 6-D 

TA-1.1: Image Processing & Machine Vision 3 - Mobile Robot Unit 


Chair: Jean-Yves Herve 

Co-Chair: Yoshifumi Murakami 

1. Image Classifier and Scene Understanding Systems of Multiagent Teams. John MASHFORD, 

CSIRO DBCE, Highett, Victoria 3190, Australia, john.mashford@dbce.csiro.au; Wei Dai Dr, 

Commonwealth Scientific and Industrial Research Organisation, AI Lab, DBCE Division, Highett, Victoria 

3190, Australia, Wei.Dai@dbce.csiro.au; Robin Drogemuller, Commonwealth Scientific and Industrial 

Research Organisation, DBCE, Highett, Victoria 3190, Australia, Robin.Drogemuller@dbce.csiro.au; 

Bertil Marksjo Dr, Commonwealth Scientific and Industrial Research Organisation, AI Lab, DBCE 

Division, Highett, Victoria 3190, Australia, Bertil.Marksjo@dbce.csiro.au...............................................1460

2. Intelligent Wheelchair moving among people based on their observations. Yoshifumi 

MURAKAMI, Osaka University, Suita, Osaka 565-0871, Japan, murakami@cv.mech.eng.osakau.ac.jp; 

Yoshinori Kuno, Osaka University, Suita, Osaka 565-0871, Japan, kuno@mech.eng.osakau.ac.jp; 

Nobutaka Shimada, Osaka University, Suita, Osaka 565-0871, Japan, 

shimada@mech.eng.osaka-u.ac.jp;Yoshiaki Shirai, Osaka University, Suita, Osaka 565-0871, 

Japan, shirai@mech.eng.osaka-u.ac.jp..........................................................................................1466 

3. An Active Vision System for Mobile Robots. Jian PENG, Intelligent robotics lab, Vanderbilt 

University, Nashville, TN 37235, USA, jpeng@vuse.vanderbilt.edu; Atit SRIKAEW, Electrical 

Engineering, Vanderbilt University, Nashville, TN 37235, USA, srikaewa@vuse.vanderbilt.edu; D. 


Nashville, Tennessee United States, wilkes@vuse.vanderbilt.edu; Richard PETERS II, Vanderbilt 

University, Electrical Engineering & Computer Science, School of Engineering, Nashville, Tennessee 

37235, United States, rap2@vuse.vanderbilt.edu............................................................................... 1472 

4. Estimation of Optical Flow Using Voting Space Introduced Weight Function. Hiroki 

IMAMURA, Japan Advanced Institute of Science and Technology, Information Science, Nomi-gum, 

Ishikawa 923-1292, Japan, imamura@jaist.ac.jp; Yukiko KENMOCHI, Japan Advanced Institute of 

Science and Technology, Information Science, Nomi-gum, Ishikawa 923-1292, Japan, 

kenmochi@jaist.ac.jp; Kazunori KOTANI, Japan Advanced Institute of Science and Technology, 

Information Science, Nomi-gum, Ishikawa 923-1292, Japan, ikko@jaist.ac.jp ............................... 1478 

5. A content-based image retrieval system integrating color, shape and spatial analysis. Kwok- 

Wah HUNG, The Hong Kong Polytechnic University, Hong Kong, China, 

cskwhung@comp.polyu.edu.hk; Maurice Aw-Yong, The Hong Kong Polytechnic University, 

Computing, Hong Kong, China ....................................................................................................... 1484 

Track 6-E 

TP-1.1: Image Processing & Machine Vision 4 - Registration & Stereo 


Chair: Hongbin Zha 

Co-Chair: Wootack Woo 

1. A novel eigenvector approach to pose and correspondence estimation. Zhong XUE, 

Nanyang Technological University, Control and Instrumentation, School of EEE, Singapore, 639798, 

Singapore, zhong_xue@yahoo.com; Eam Khwang TEOH, School of EEE, Singapore, 639798, 

Singaore, ekteoh@ntu.edu.sg ........................................................................................................ 1489 

2. Registration of Range Images with Different Scanning Resolutions. Hongbin ZHA, Kyushu 

University, Fukuoka, 812-8581, Japan, zha@is.kyushu-u.ac.jp; Makoto IKUTA, Japan; Tsutomu 

HASEGAWA, Japan.......................................................................................................................1495 

3. Analysing the Geometric Properties of Reflected Correspondence Vectors for the 

Regisgration of Free Form Shapes. Marcos RODRIGUES, Sheffield Hallam University, Sheffield, S1 

1WB, UK, M.Rodrigues@shu.ac.uk .................................................................................................... 1501

4. Robust image registration based on feedforward neural networks. Itamar Elhanany, Ben- 

Gurion University, Electrical & Computers Engineering Dept., Beer-Sheva, 84120, ISRAEL, 

itamar@ieee.org; Mati Sheinfeld, Nuclear Research Center Negev, Electronics & Control Laboratories, 

Beer-Sheva, 84190, ISRAEL; Arie Beck, Nuclear Research Center Negev, Electronics & Control 

Laboratories, Beer-Sheva, 84190, ISRAEL, sbeck@bgumail.bgu.ac.il; Yagil Kadmon, Nuclear 

Research Center Negev, Electronics & Control Laboratories, Beer-Sheva, 84190, ISRAEL; Danny 

Tirosh, Nuclear Research Center Negev, Electronics & Control Laboratories, Beer-Sheva, 84190, 

ISRAEL; Naftali Tal, Rotem Industries, Nuclear Instrumentation, Beer-Sheva, 84109, ISRAEL, 

rotem9@netvision.net.il ....................................................................................................................... 1507 

5. Stereo imaging using a camera with stereoscopic adapter. Woontack Woo, ATR MIC Labs, 

Kyoto, 619-0288, Japan, wwoo@mic.atr.co.jp; Namgyu Kim, ATR MIC Labs, Kyoto, 619-0288, 

Japan, ngkim@mic.atr.co.jp; Yuichi Iwadate, NHK STRL, Tokyo, 157-8510, Japan, 

yiwadate@strl.nhk.or.jp................................................................................................................... 1512 

6. Stereo correspondence using Hopfield network with multiple constraints. Chia-Horng 

HUANG, National Taiwan Ocean University, Keelung, 202, Taiwan, ocean@plus.ind.ntou.edu.tw; 

Jung-Hua WANG, IEEE - Systems, Man, and Cybernetics Society, Keelung, TAIWAN, 

jhwang@mail.ntou.edu.tw............................................................................................................... 1518 

Chair: Jin-Seo Kim 

Co-Chair: R. Chan 

Track 6-F 

TP-2.1: Image Processing & Machine Vision 5 - Color 


1. Applying CIECAM97s in color management system. Jin-Seo KIM,IEEE - Systems, Man, and 

Cybernetics Society, Taejon, 305-350, Republic of Korea, kjseo@etri.re.kr; Maeng-Sub Cho,..... 1524 

2. Fusion of Rough Set Theoretic Approximations and FCM for Color Image Segmentation.. 

Akash MOHABEY, Indian Institute of Technology, Kharagpur, WB, India. 721302., Department of 

Electronics and Electrical Communication Engineering, Kharagpur, West Bengal 721302, India, 

akashmohabey@mailcity.com; Ajay Ray, Indian Institute of Technology, Kharagpur, WB, India. 

721302., Department of Electronics and Electrical Communication Engineering., Kharagpur, West 

Bengal 721302, India, akray@ece.iitkgp.ernet.in............................................................................1529 

3. Image Quatization Using Self-splitting Competitive Learning. Zhang Ya-Jun, the University of 

Melbourne, Department of Computer Science and Software Engineering, Melbourne, Victoria VIC 

3053, Australia, zyj@cs.mu.oz.au; Liu Zhi-Qiang, the University of Melbourne, Department of 

Computer Science and Software Engineering, Engineering School, Melbourne, Victoria VIC3053, 

Australia, zliu@cs.mu.oz.au............................................................................................................ 1535 

4. A Psychovisually-Based Image Quality Evaluator for JPEG Images. Ruby CHAN, 

The University of Calgary, Department of Mechanical and Manufacturing Engineering, Calgary, AB T2N 

1N4, Canada, rwschan@ucalgary.ca; Peter Goldsmith, The University of Calgary, Department of 

Mechanical and Manufacturing Engineering, Calgary, AB T2N 1N4, Canada, 

pgold@enme.ucalgary.ca .................................................................................................................... 1541

5. High Quality Image Interpolation for Color Filter Arrays. Bongjun Lee, Yonsei University, 

Dept. Electrical and Computer Engineering, Seoul, 120-749, KOREA, bjlee@hdsp.yonsei.ac.kr; 

Chulhee Lee, Yonsei University, Dept. Electrical and Computer Engineering, Seoul, 120-749, 

KOREA, chulhee@yonsei.ac.kr ...................................................................................................... 1547 

6. Contrast enhancement based on divided histogram manipulation. Hung Shung WONG, IEEE 

- Systems, Man, and Cybernetics Society, Keelung, Taiwan, wonghs@celab1.ee.ntou.edu.tw; Jung- 

Hua WANG, IEEE - Systems, Man, and Cybernetics Society, Keelung, TAIWAN, 


Track 6-G 

WA-1.1: Image Processing & Machine Vision 6 - Segmentation 


Chair: Li Chen 

Co-Chair: Takashi Sakamoto 

1. λ-Connectedness : Method and Application. Li CHEN, Scientific & Practical Computing, 

Centerville, Utah 84014, USA, moorechen@yahoo.com; Osei ADJEI, University of Luton, Computing 

and Information Systems, Luton, United Kingdom; Donald Cooley, Utah State University, 

Department of Computer Science, Logan, Utah 84322, USA, cooley@don.cs.usu.edu................. 1557 

2. Anisotropic diffusion for object segmentation. Hao Huang, National Taiwan Ocean University, 

Electrical Engineering, Graduate School, Keelung, Taiwan, wind@celab1.ee.ntou.edu.tw; Jung-Hua 

WANG, National Taiwan Ocean University, Keelung, TAIWAN, jhwang@mail.ntou.edu.tw........... 1563 

3. A fast-search motion estimation method. Yun-Teng Roan, Southern Taiwan University of 

Technology, Department of Electronic Engineering, Yung Kang, Taiwan 710, R. O. C., 

pychen@cad1.eecs.stut.edu.tw; Pei-Yin CHEN, Southern Taiwan University of Technology, 

Department of Electronic Engineering, Yung Kang, Taiwan 710, R. O. C., 

yin@cad2.ee.ncku.edu.tw............................................................................................................... 1568 

4. Irregular Adaptative Pyramid of Agents for Segmentation to Interpretation of Image. 

Edouard Duchesnay, LTSI/GRAID IUT de Rennes-Saint-Malo, Université de Rennes 1, Saint-Malo, 

35409, France, Edouard.Duchesnay@iutsm.univ-rennes1.fr; Jean-Jacques Montois, LTSI/GRAID 

IUT de Rennes-Saint-Malo Université de Rennes 1, Saint-Malo, 35409, France, Jean- 

Jacques.Montois@iutsm.univ-rennes1.fr; Yann Jacquelet, LTSI/GRAID IUT de Rennes-Saint-Malo, 

Université de Rennes 1, 35409, France, Yann.Jacquelet@iutsm.univ-rennes1.fr; Abel Kinie, 

LTSI/GRAID, Saint-Malo, 35409, France, Abel.Kinie@iutsm.univ-rennes1.fr.................................1574 

5. Edge Detection Method Insensitive to the Light and Shade Variance in Image. Takashi 

Sakamoto Dr., Electrotecnical Laboratory, Agency of Industrial Science and Technology, 1704, 

Intelligent Systems Division, Tsukuba, Ibaraki 305-8568, JAPAN, sakamoto@etl.go.jp; Toshikazu 

Kato, Deptartment of Industrial and Systems Engineering, Faculty of Science and Engineering, Chuo 

University, Tokyo 112-8551, JAPAN, kato@indsys.chuo-u.ac.jp....................................................1581 

6. Segmentation of a Text Printed in Korean and English Using Structure Information and 

Character Recognizers. Young-Sup HWANG, Electronics and Telecommunications Research 

Institute, Taejon, 305-600, Korea, whangys@etri.re.kr...................................................................1586

Track 6-H 

WP-1.1: Image Processing & Machine Vision 7 - Objects in Images 


Chair: Adrezej J. Kasinski 

Co-Chair: Sotiris Raptis 

1. Cell Detection and Tracking for Micromanipulation Vision System of Cell-operation Robot. 

Z. Wang, Beijing, 100080, P.R.China, zwang@nlpr.ia.ac.cn; B.-G Hu, Beijing, 100080, P.R.China, 

hubg@nlpr.ia.ac.cn; L.C. Liang, Beijing, 100080, P.R.China, lcliang@nlpr.ia.ac.cn; Q. Ji, USA, 

Qiangji@cs.unr.edu ........................................................................................................................ 1592 

2. Topology-Adaptive Modeling of Objects by Using Variable-Size Ball Marching. Kenji HARA, 

Fukuoka Industrial Technology Center, Kitakyushu, Fukuoka 807-0831, Japan, harak@irvs.is.kyushuu.ac.jp; 

Hongbin ZHA, Department of Intelligent Systems, Kyushu university, Japan, 

zha@irvs.is.kyushu-u.ac.jp; Tsutomu HASEGAWA, Department of Intelligent Systems, Kyushu 

university, Japan, hasegawa@irvs.is.kyushu-u.ac.jp .......................................................................... 1598 

3. Managing processes of perceptual organization for emerging geometrical objects. Andrzej 

KASINSKI J., Poznan University of Technology, Chair in Control, Robotics & Computer Sc., Poznan, 

PL 60-965, POLAND, akas@ar-kari.put.poznan.pl; Tomasz Piascik, Poznan University of 

Technology, Dept. of Control, Robotics & Computer Sc., Poznan, 60-695, POLAND, tap@arkari.put.poznan.pl............................................................................................................................ 

1604 

4. Statistically constrained snake deformations. Ghassan HAMARNEH, Chalmers University of 

Technology, Department of Signals and Systems - Imaging and Image Analysis Group, Electrical and 

Computer Engineering, Göteborg, 412 96, Sweden, ghassan@s2.chalmers.se; Tomas 

GUSTAVSSON, Chalmers University of Technology, Department of Signals and Systems - Imaging 

and Image Analysis Group, Electrical and Computer Engineering, Göteborg, 412 96, Sweden, 

gustavsson@s2.chalmers.se .......................................................................................................... 1610 

5. An Efficient Extraction of Character String Positions Using Morphological Operator. Chang- 

Joon Park, Electronics and Telecommunications Research Institute, Image Processing Department, 

Taejon, 305-350, KOREA, chjpark@etri.re.kr; Kyung-Ae Moon, Electronics and Telecommunications 

Research Institute, Image Processing Department, Taejon, 305-350, KOREA; Weon-Geun Oh, 

Electronics and Telecommunications Research Institute, Image Processing Department, Taejon, 305- 

350, KOREA; Heung-Moon Choi, Kyungpook National University, School of Electronic and Electrical 

Engineering, Taegu, 702-701, KOREA ...........................................................................................1616 

6. FUZZY-POSSIBILISTIC OBJECT RECOGNITION BASED ON EDGE AND TEXTURE 

DESCRIPTORS FUSION. SOTIRIS RAPTIS, National Technical University of Athens (N.T.U.A.), 

Athens, Gr -145 65(, Greece, sotrap@softlab.ntua.gr.....................................................................1621

Chair: Darryl Sale 

Co-Chair: Takio Kurita 

Track 6-I 

WP-2.1: Image Processing & Machine Vision 8 - Vision 


1. Towards Wearable Active Vision Platforms. W.W. Mayol, University of Oxford, Department of 

Engineering Science, Oxford, OX1 3PJ, UK, wmayol@robots.ox.ac.uk; B. Tordoff, University of 

Oxford, Department of Engineering Science, Oxford, Oxfordshire OX1 3PJ, UK, bjt@robots.ox.ac.uk; D 

W Murray, University of Oxford, Department of Engineering Science, UK ........................................ 1627 

2. Super-Resolution Enhancement of Night Vision Image Sequences. Darryl Sale, University of 

North Dakota, Department of Electrical Engineering, Grand Forks, ND 58202-7165, USA, 

dsale@nyquist.ee.und.nodak.edu; Richard Schultz, University of North Dakota, Department of 

Electrical Engineering, Grand Forks, ND 58202-7165, USA, Richard_Schultz@mail.und.nodak.edu; 

Robert Szczerba, Lockheed Martin Federal Systems, Advanced Technology Department, Owego, 

NY 13827, USA, Robert.J.Szczerba@lmco.com ............................................................................1633 

3. Bilateral functions of direction and pattern by auto-correlation model -Categorizing texture 

and office images-. Tatsuya SHIBATA, Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, 

Japan, tshibata@etl.go.jp.................................................................................................................1639 

4. Gaze control on virtual active vision system with binocular fish-eye lenses. Takio KURITA, 

Electrotechnical Laboratory, Information Science Division, Tsukuba, 305-8568, Japan, 

kurita@etl.go.jp; Hiroyuki Shimai, Saitama University, Department of Information and Computer 

Science, Urawa, 338-8570, Japan, shimai@etl.go.jp; Yasutaka Baba, Saitama University, 

Department of Information and Computer Science, Urawa, 338-8570, Japan, baba@etl.go.jp; 

Taketoshi Mishima, Saitama University, Department of Informationand Computer Science, Urawa, 

338-8570, Japan, mishimai@me.ics.saitama-u.ac.jp; Masaru Tanaka, Electrotechnical Laboratory, 

Information Science Division, Tsukuba, 305-8568, Japan, mtanaka@etl.go.jp; Shotaro Akaho, 

Electrotechnical Laboratory, Information Science Division, Tsukuba, 305-8568, Japan, 

akaho@etl.go.jp; Shinji Umeyama, Electrotechnical Laboratory, Information Science Division, 

Tsukuba, 305-8568, Japan, umeyama@etl.go.jp ...........................................................................1644 

5. Contour Following Parallel Thinning for Simple Binary Images. Wing-nin Leung, The Hong 

Kong Polytechnic University, Computing, Kowloon, Hong Kong, csnleung@comp.polyu.edu.hk; Ng C 

M, Hong Kong Technical College, Chai Wan, Hong Kong China, cmng@vtc.edu.hk .....................1650 

6. A new reasoning-based filter. Mahmood DOROODCHI, Great Lakes WATER Institute, 

Milwaukee, WI 53204, USA, mahmood@uwm.edu; Ali Reza, University of Wisconsin - Milwaukee, 

Electrical Engineering and Computer Science, Engineering and Mathematical Sciences, Milwaukee, 

WI 53211, USA, reza@ee.uwm.edu ...............................................................................................1656

Track 7-A 

MA-1.3: Industrial Panel 1 - The Role of Technology in Health Care 

Room: Hermitage C Time: 8:00AM - 10:00AM 

Organizer: Matthew Gallivan 

Organizer: David Riling 

Organizer: Bill Hellier 

Organizer: W. Gruver 

Track 7-B 

MP-1.3: Industrial Panel 2 - Industrial Automation 

Room: Hermitage C Time: 1:00PM - 3:00PM 

Track 7-C 

MP-2.3: Industrial Panel 3 - Aerospace Defense 


Track 7-D 

TA-1.3: Holonic & Multi-agent Manufacturing Systems 1 


1. HOLONIC SELF-ORGANIZATION OF MULTI-AGENT SYSTEMS BY FUZZY MODELING WITH 

APPLICATION TO INTELLIGENT MANUFACTURING. Mihaela ULIERU, IEEE - Systems, Man, and 

Cybernetics Society, Calgary, Alberta T2N 1N4, Canada, ulieru@enme.ucalgary.ca .................... 1661 

2. Comparison of Hierarchical and Holonic Shop Floor Control Using a Virtual Manufacturing 

Environment. Dilip Kotak, National Research Council, Vancouver Innovation Centre, Vancouver, 

BC V6T 1W5, Canada, dilip.kotak@nrc.ca; Shahriar Bardi, National Research Council Canada, 

Vancouver Innovation Centre, Vancouver, BC V6T 1W5, Canada, shahriar.bardi@nrc.ca; William 

Gruver, Simon Fraser University, School of Engineering Science, Burnaby, British Columbia 

V5A1S6, Canada, gruver@cs.sfu.ca; Katayoun Zohrevand, Simon Fraser University,Engineering 

Science, Burnaby, BC V5A1S6, Canada, katayoun@cs.sfu.ca ......................................................1667 

3. Evaluating machine agent coupling of reactive and planning-based control architectures for 

manufacturing. Robert BRENNAN, University of Calgary, Mechanical and Manufacturing Engineering, 

Calgary, Alberta T2N 1N4, Canada, brennan@enme.ucalgary.ca; Christian SORENSEN, University of 

Denmark, Manufacturing Engineering, Lyngby, DK-2800, Denmark, cs@ipt.dtu.dk............................ 1673

4. Development of Reusable, Configurable, Extensible Holonic Manufacturing System. Sudong 

SHU, Intelligent Robotics Lab, Nashville, TN 37235, USA, sudong.shu@vanderbilt.edu; Mitch Wilkes, 

Intelligent Robotics Lab, Dept. of EECS, Vanderbilt University, Nashville, TN 37235, USA, 

wilkes@vuse.vanderbilt.edu; Kazuhiko Kawamura, Intelligent Robotics Lab, Dept. of EECS, Vanderbilt 

University, Nashville, TN 37235, USA, kawamura@vuse.vanderbilt.edu ........................................... 1679 

5. Negotiation protocol for proof of realization of cooperative tasks in multi-agent robot 

systems. Hiroyuki NISHIYAMA, Science University of Tokyo, Noda, Chiba 278-8510, Japan, 

nisiyama@imc.sut.ac.jp; Wataru YAMAZAKI, Science University of Tokyo, Noda, Chiba 278-8510, 

Japan, yamazaki@imc.sut.ac.jp; Fumio MIZOGUCHI, Science University of Tokyo, Noda, Chiba 278- 

8510, Japan, mizo@imc.sut.ac.jp ................................................................................................... 1685 

6. Architecture of the Multi-Agent System for Collaboration of Physical Devices. Wataru 

YAMAZAKI, Science Univ. of Tokyo, Noda, Chiba 278-8510, Japan, yamazaki@imc.sut.ac.jp; 

Hiroyuki NISHIYAMA, Science Univ. of Tokyo, Noda, Chiba 278-8510, Japan, 

nisiyama@imc.sut.ac.jp; Fumio MIZOGUCHI, Science Univ. of Tokyo, Noda, 278-8510, 

Japan, ............................................................................................................................................ 1691 

Organizer: W. Gruver 

Track 7-E 

TP-1.3: Holonic & Multi-agent Manufacturing Sytems 2 


1. Software development for the PLC-based supervisory control of flexible-manufacturing 

workcells. Beno BENHABIB, University of Toronto, Department of Mechanical Engineering, 

Toronto, Ontario M5S 3G8, Canada, beno@mie.utoronto.ca; Alejandro Ramirez-Serrano, Univeristy 

of Toronto, Department of Mechanical Engineering, Toronto, Ontario M5S 3G8, Canada, 

ramirez@mie.utoronto.ca; Shichun Zhu, University of Toronto, Department of Mechanical 

Engineering, Toronto, Ontario M5S 3G8, Canada, shichun@mie.utoronto.ca; Simon Chan, University 

of Toronto, Department of Mechanical Engineering, Toronto, Ontario M5S 3G8, Canada; Samuel 

Chan, Univerity of Toronto, Department of Mechanical Engineering, Toronto, Ontario M5S 3G8, 

Canada, chans@mie.utoronto.ca.................................................................................................... 1697 

2. Specification and synthesis of control software for flexible manufacturing systems. Ernesto 

LOPEZ-MELLADO, CINVESTAV-IPN, Guadalajara, Jalisco 45090, Mexico, 

elopez@gdl.cinvestav.mx; Patricia Gutierrez-Robles, CINVESTAV-IPN, Unidad Guadalajara, 

CINVESTAV-IPN, Guadalajara, Jalisco 45090, Mexico, elopez@gdl.cinvestav.mx .......................1703 

3. Coordination Control and Deposition Planning for Improving Deposition Accuracy in 

Layered Manufacturing Process. Wenbiao Han, Rutgers University, Industrial & Systems 

Engineering, Piscataway, NJ 08854, USA, hanwb@eden.rutgers.edu; Mohsen A. Jafari, 

Rutgers University, Industrial & Systems Engineering, Piscataway, NJ 08854, USA, 

jafari@rci.rutgers.edu...................................................................................................................... 1709 

4. Architecture and design of a holonic visual interface. Rob KREMER, University of Calgary, 

Calgary, Alberta T2N 1N4, Canada, kremer@cpsc.ucalgary.ca; Douglas Norrie, University of Calgary, 

Department of Mechanical and Manufacturing Engineering, Engineering, Calgary, Alberta T2N 1N4, 

Canada, norrie@enme.ucalgary.ca ..........................................................................................................1715

5. Internal communication architecture for resource holons. Alexander HAEMMERLE, Profactor 

Research, Steyr, 4400, Austria, Alexander.Haemmerle@profactor.at; Ralf Geurts, Profactor 

Research, Steyr, 4400, Austria, Ralf.Geurts@profactor.at; franz auinger, Profactor research, Steyr, 

4400, Austria, franz.auinger@profactor.at; franz auinger, Profactor research, Steyr, 4400, Austria, 

franz.auinger@profactor.at ............................................................................................................. 1721 

6. Holonic Manufacturing System for Distributed Control of Automated Guided Vehicles. 

Shiming Liu, Simon Fraser University, Engineering Science, Burnaby, BC V5A1S6, Canada, 

sliuc@cs.sfu.ca; William Gruver, Simon Fraser University, School of Engineering Science, School of 

Engineering Science, Burnaby, BC V5A1S6, Canada, gruver@cs.sfu.ca; Dilip Kotak, National 

Research Council Canada, Vancouver Innovation Centre, Vancouver, British Columbia V6T 1W5, 

Canada, dilip.kotak@nrc.ca; Shahriar Bardi, National Research Council, Vancouver Innovation 

Centre, Vancouver, BC V6T1W5, Canada, shahriar.bardi@nrc.ca.................................................1727 

7. Design of Virtual Production Lines in Back-end Semiconductor Manufacturing Systems. 

Ying Tang and MengChu Zhou, Dept. of Electrical & Computer Engineering, New Jersey Institute of 

Technology, University Heights, Newwark, NJ 07012. Robin Qiu, Factory Automation, Kulicke & 

Soffa Industries, Inc. 2101 Blair Mill Road ...................................................................................... 1733 

Chair: Aldo Dagnino 

Co-Chair: Habtom Ressom 

Track 7-F 

TP-2.3: Applications - Manufacturing Systems 1 


1. A Web Portal for Distributed Concurrent Engineering. Aldo DAGNINO, Asea Brown Boveri 

(ABB ), Raleigh, North Carolina 27606, USA, aldo.dagnino@us.abb.com .....................................1739 

2. On-line estimation of key quality parameters in nonwoven production. Habtom RESSOM, 

University of Maine, Orono, Maine 04469-5708, U.S.A., ressom@eece.maine.edu; Holger Voos, 

University of Kaiserslautern, Institute of Process Automation, Kaiserslautern, 67653, Germany, 

voos@eit.uni-kl.de; Lothar LITZ, University of Kaiserslautern, Institute of Process Automation, 67653 

Kaiserslautern, Germany, litz@eit.uni-kl.de; Peter Schmitt, Freudenberg, Nonwovens Group, 

Kaiserslautern, 67661, Germany, Peter.Schmitt@freudenberg.de .................................................1745 

3. An Internet-Based Remote Assembling System. Uttapol SMUTKUPT, Vanderbilt University, 

Management of Technology, School of Engineering, Nashville, TN 37235, USA, 

uttapol@vuse.vanderbilt.edu; Palis RATANASWASD, Vanderbilt University, Electrical Engineering & 

Computer Science, School of Engineering, Nashville, TN 37235, USA, palis@vuse.vanderbilt.edu; 

Kazuhiko KAWAMURA, Vanderbilt University, Electrical Engineering & Computer Science, School of 

Engineering, Nashville, TN 37235, USA, kawamura@vuse.vanderbilt.edu; Larry LEBLANC, 

Vanderbilt University, Operations Management, Owen Graduate School of Management, Nashville, 

TN 37235, USA, Larry.LeBlanc@owen.vanderbilt.edu ................................................................... 1750

4. Die temperature monitoring of high pressure die casting. L.X. Kong, Deakin University, 

Engineering and Technology, Geelong, Victoria 3217, Australia, lkong@deakin.edu.au; F.H. She, 

Deakin University, Engineering and Technology, Geelong, Victoria 3217, Australia, 

mfhs@deakin.edu.au; S. NAHAVANDI, Deakin University, Engineering and Technology, Geelong, 

Victoria 3217, Australia, nahavand@deakin.edu.au; A.Z. KOUZANI, Deakin University, Engineering 

and Technology, Geelong, Victoria 3217, Australia, kouzani@deakin.edu.au................................1756 

5. A Multi-level Reconfiguration Control for Holonic PLC. Xiaokun ZHANG, The University of 

Calgary, Department of Mechanical & Manufacturing Engineering, Calgary, Alberta T2N 1N4, Canada, 

xkzhang@enme.ucalgary.ca; Douglas H. NORRIE, The University of Calgary, Department of 

Mechanical & Manufacturing Engineering, Calgary, Alberta T2N 1N4, Canada, 

norrie@enme.ucalgary.ca; Robert W. BRENNAN, The University of Calgary, Department of 

Mechanical & Manufacturing Engineering, Calgary, Alberta T2N 1N4, Canada, 

brennan@enme.ucalgary.ca; Yuefei XU, The University of Calgary, Department of Mechanical & 

Manufacturing Engineering, Calgary, Alberta T2N 1N4, Canada, yfxu@enme.ucalgary.ca .............. 1762 

Chair: K.Preston White Jr. 

Co-Chair: Witold Jacak 

Track 7-G 

WA-1.3: Applications - Manufacturing Systems 2 


1. Integrated visual servoing system to grasp industrial parts moving on conveyer by 

controlling 6DOF arm. Hideki NOMURA, System Control & Robotics Labs., Toyota Central R&D 

Labs., Inc., Nagakute, Aichi pref. 480-1192, Japan, nomura@robotics.tytlabs.co.jp; Takashi NAITO, 

System Control & Robotics Labs., Toyota Central R&D Labs., Inc., Nagakute, Aichi pref. 480-1192, 

Japan, night@robotics.tytlabs.co.jp ................................................................................................ 1768 

2. A Method for Solving Large-scale Flowshop Problems by Reducing Search Sapce of 

Genetic Algorithm. Yong Zhao, Sannomiya labs, Electronics and Information department, Kyoto 

Institute of Technology, Kyoto, 606-8585, Japan, zhaoy@si.dj.kit.ac.jp; Nobuo Sannomiya, 

Electronics and Information Science, Kyoto Institute of Technology, Kyoto, 606-8585, Japan, 

sanmiya@si.dj.kit.ac.jp ................................................................................................................... 1776 

3. Modeling of Machining using Relationships Between Features. László HORVÁTH, Budapest 

POlytechnic, Budapest, H-1081, Hungary, lhorvath@zeus.banki.hu .......................................... 1782 

4. Deadlock-Free Scheduling Method for Track Systems in Semiconductor Fabrication. Hyun 

Joong Yoon, Korea Advanced Institute of Science and Technology, Department of Mechanical 

Engineering, Taejon, 305-701, Korea, yunkii@discrete.kaist.ac.kr; Doo Yong Lee, Korea Advanced 

Institute of Science and Technology, Department of Mechanical Engineering, Taejon, 305-701, 

Korea, leedy@kaist.ac.kr ................................................................................................................ 1787

5. Conflict Management in an Intelligent Multiagent Robotic System. Witold JACAK, Polytechnic 

University of Upper Austria, Hagenberg, Upper Austria 4232, Austria, witold.jacak@fhs-hagenberg.ac.at; 

Karin Proell, Polytechnic University of Upper Austria, Software Engineering, Hagenberg, A-4232, 

Austria, karin.proell@fhs-hagenberg.ac.at; Stephan Dreiseitl, Polytechnic University of Upper Austria, 

Software Engineering, Hagenberg, A-4232, Austria, stephan.dreiseitl@fhs-hagenberg.ac.at...............1793 

6. Reengineering the Operator Interface to a Semiconductor Manufacturing Execution System. 

K. Preston WHITE Jr., University of Virginia, Charlottesville, Virginia 22904-4747, U.S.A., 

kpw8h@virginia.edu; Christina MASTRANGELO, University of Virginia, Systems Engineering, 

School of Engineering & Applied Science, Charlottesville, Virginia 22906-9003, United States, 

christina@virginia.edu; Frank Anastasio, Dominion Semiconductor, LC, Manassas, VA 20110, USA; 

Brian Best, Dominion Semiconductor, L.C., Manassas, VA 20110, USA ......................................1799 

Track 7-H 

WP-1.3: Applications - Medical & Health Care Systems 1 


Chair: Carlo A. Avizzano 

Co-Chair: Venky Shankararaman 

1. Adaptive filters for the suppression of tremor. Carlo Alberto AVIZZANO, PERCRO, Scuola 

Superiore S.Anna, Pisa, 56127, Italy, carlo@sssup.it; Federico Barbagli, PERCRO, Scuola 

Superiore S.Anna, Pisa, 56127, Italy, fed@sssup.it; Peter Feys, NCMS, Melsbroek, 1820, Belgium, 

Peter.Feys@flok.kuleuven.ac.be; Massimo Bergamasco, PERCRO, Scuola Superiore S.Anna, Pisa, 

56127, Italy, bergamasco@sssup.it................................................................................................ 1805 

2. Visual Servoing for Human-Robot Interaction in the Wheelchair-based Rehabilitation Robot. 

Won-Kyung SONG, KAIST, Div. of E.E., Dept. of E.E.C.S., Taejon, 305-701, Korea, 

wksong@ctrsys.kaist.ac.kr; Jong-Sung KIM, ETRI, Multimedia Department, Taejon, 305-350, Korea, 

joskim@etri.re.kr; Zeungnam BIEN, KAIST, Div. of E.E., Dept. of E.E.C.S., Taejon, 305-701, Korea, 

zbien@ee.kaist.ac.kr....................................................................................................................... 1811 

3. Patient Care Management using a Multi-Agent Approach. Venky SHANKARARAMAN, 

University of Hertfordshire, Hatfield, Herts AL10 9AB, UK, V.Shankararaman@herts.ac.uk; Vivian 

Ambrosiadou, University of Hertfordshire, Computer Science, Haftield, Herts AL10 9AB, UK, 

V.Ambrosiadou@herts.ac.uk; Martin Loomes, University of Hertfordshire, Computer Science, Hatfield, 

Herts AL10 9AB, UK; Trushar Panchal, University of Hertfordshire, Computer Science, Hatfield, Herts 

AL10 9AB, UK, T.Panchal@herts.ac.uk ...................................................................................................1817 

4. Monitoring of Breath Sound under Daily Environment by Ceiling Dome Microphone. 

Yoshifumi NISHIDA, Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, Japan, 

ynishida@etl.go.jp; Toshio HORI, Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, Japan, 

toshi@etl.go.jp; Takashi SUEHIRO, Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, Japan, 

suehiro@etl.go.jp; Shigeoki HIRAI, Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, Japan, 

hirai@etl.go.jp................................................................................................................................. 1822

5. A real-time visual inspection system for automated prescription dispensing. Jerry Moore, 

Systems & Electronics Inc., St. Louis, Missouri 63121-1126, USA, jmoore@seistl.com; Gary 

Waldman, Systems & Electronics Inc., St. Louis, Missouri 63121-1126, USA, garywald@aol.com; 

John Wootton, Engineered Support Systems Inc., St. Louis, Missouri 63121-1126, USA, 

jwoot@seistl.com; Greg Hobson, Systems & Electronics Inc., St. Louis, Missouri 63121-1126, USA, 

hobson@seistl.com......................................................................................................................... 1830 

Chair: James Graham 

Co-Chair: Baoguo Xie 

Track 7-I 

WP-2.3: Applications - Medical & Health Care Systems 2 


1. HDA - An Internet-Enabled System for Healthcare Management. Xudong Yu, Southern Illinois 

University Edwardsville, Computer Science, School of Engineering, Edwardsville, IL 62026-1656, 

USA, xyu@siue.edu; Jerry Weinberg, Southern Illinois University Edwardsville, Computer Science, 

School of Engineering, Edwardsville, IL 62026-1656, USA, jweinbe@siue.edu; Mei Huang, Barnes- 

Jewish Hospital, Internal Medicine, St. Louis, MO 63110, USA, utmch@yahoo.com; Daniel 

Anderson, Grinnel Regional Medical Center, Grinnell, Iowa 50112, USA .....................................1836 

2. Preliminary Evaluation of Global Hand Function Measurement Device. James GRAHAM, 

University of Louisville, Louiville, KY 40292, USA, jhgrah01@louisville.edu; Brian Wilson, University 

of Louisville, Computer Engineering and Computer Science, Louisville, KY 40292, USA; Peter 

Quesada, University of Louisville, Mechanical Engineering, Louisville, KY 40292, USA; Claudio 

Maldonada, University of Louisville, Louisville, KY 40292, USA; Haldun Orhun, Hgur Sokak Polis 

Lojmanlarr, Istanbul, Turkey, orhunh@hotmail.com; John Barker, University of Louisville, Surgery, 

Louisville, KY USA; Amit Gupta, Louisville Hand Surgery, Louisville, KY USA ............................. 1842 

3. Non-restricted measurement of walking distance. Koichi SAGAWA, Tohoku University, 

Sendai, Miyagi 980-8579, Japan, sagawa@control.is.tohoku.ac.jp; Yutaka SATOH, Tohoku 

University, Inooka Lab., GSIS, Sendai, Miyagi 980-8579, Japan, ysatoh@control.is.tohoku.ac.jp; 

Hikaru INOOKA, Tohoku University, GSIS, Sendai, Miyagi Japan, ino@control.is.tohoku.ac.jp ... 1847 

4. Analysis of fundamental frequency for near term suicidal risk assessment. Asli OZDAS, 

Vanderbilt University, Nashville, TN 37235, USA, ozdas@vuse.vanderbilt.edu; Richard SHIAVI, 

Vanderbilt University, Biomedical Engineering, School of Engineering, Nashville, Tennessee United 

States, rgs@vuse.vanderbilt.edu; M.K. Silverman, Vanderbilt University, Biomedical Engineering 

Department, Nashville, TN 37235, USA; S.E. Silverman, Vanderbilt University, Department of 

Biomedical Engineering, Nashville, TN 37235, USA;D.M. Wilkes, Vanderbilt University, Electrical 

Engineering and Computer Science, Nashville, TN 37235, USA, wilkes@vuse.vanderbilt.edu......... 1853 

5. An Intelligent Above-Knee Prostheses with EMG-Based Terrain Identification. Dewen Jin, 

Tsinghua University, Beijing, P. R. China, jdw-om@mail.tsinghua.edu.cn; Ruihong Zhang, Tsinghua 

University, Beijing, P. R. China, jdw-om@mail.tsinghua.edu.cn; Jichuan Zhang, Tsinghua University, 

Beijing, P. R. China, zjc-dpi@mail.tsinghua.edu.cn; Rencheng Wang, Tsinghua University, Beijing, 

P. R. China; Caiqin Bai, Tsinghua University, Beijing, P. R. China; William Gruver, Simon Fraser 

University, Burnaby, BC V5A1S6, Canada, gruver@cs.sfu.ca .......................................................1859

6. The Immune Distributed Competitive Problem Solver with Major Histocompatibility Complex 

and Immune Network. NARUAKI TOMA, University of the Ryukyus., Department of Information 

Engineering, Faculty of Engineering, Nishihara, Okinawa 903-0213, Japan, tnal@eva.ie.uryukyu.ac.jp; 

SATOSHI ENDO, University of the Ryukyus., Department of Information Engineering, 

Faculty of Engineering, Nishihara, Okinawa 903-0213, Japan, endo@ie.u-ryukyu.ac.jp; KOJI 

YAMADA, University of the Ryukyus., Department of Information Engineering, Faculty of 

Engineering, Nishihara, Okinawa 903-0213, Japan, koji@ie.u-ryukyu.ac.jp; HAYAO MIYAGI, 

University of the Ryukyus., Department of Information Engineering, Faculty of Engineering, Nishihara, 

Okinawa 903-0213, Japan, miyagi@ie.u-ryukyu.ac.jp ....................................................................1865 

Track 8-A 

MA-1.7: Panel - Expanding the Meaning & Application of Data Mining 

Room: Evergreen Time: 8:00AM - 10:00AM 

Organizer: Stuart Rubin 

1. Expanding the Meaning of and Application for Data Mining. Stuart RUBIN, SPAWAR Systems 

Center, San Diego, CA 92152-5001, U.S.A., srubin@spawar.navy.mil.............................................. 1871 

2. Expanding the Meaning of and Applications for Data Mining. John Hansen, Saginaw Valley 

State University, University Center, MI 48710, USA, jhansen@svsu.edu......................................................* 

3. Expanding the Meaning of and Applications for Data Mining. Patricia CARBONE, The MITRE 

Corporation, McLean, VA 22102, USA, carbone@mitre.org ............................................................ 1872 

4. COMPUTATIONAL INTELLIGENCE FOR DATA MINING. Mark Embrechts, Rensselaer 

Polytechnic Institute, Computer Science, Troy, NY 12180, U.S.A., embrem@rpi.edu...........................* 

5. Expanding the Meaning of and Applications for Data Mining. Michael H. SMITH, University of 

Calgary, Faculty of Engineering, Calgary, Alberta T2N 1N4, Canada, mhs@mining.ubc.ca; Witold 

PEDRYCZ, University of Alberta, Department of Electrical and Computer Engineering, Edmonton, 

Alberta T6G 2G7, Canada, pedrycz@ee.ualberta.ca......................................................................1874 

6. The relationship between artificial intelligence and data mining: application to future 

military information systems. Marion CERUTI, IEEE - Systems, Man, and Cybernetics Society, 

San Diego, California 92152-5001, USA, ceruti@spawar.navy.mil.................................................1875

Track 8-B 

MP-1.7: Computational Cybernetics - Data Mining & Knowledge Discovery 1 

Room: Evergreen Time: 1:00PM - 3:00PM 

Chair: Stuart Rubin 

Co-Chair: Joyce Shu 

1. A Novel Self-Optimizing Approach for Knowledge Acquisition. Dan PAN, Department of 

Computer Engineering and Science,, Guangzhou, Guangdong province 510640, The people's 

Republic of China, dan_pan@163.net; Qilun Zheng, Department of computer engineering and 

science,, Guangzhou, Guangdong 510640, P.R.China, csqlzhen@letterbox.scut.edu.cn; Guihua 

Wen, Institution of Computer Application, Guangzhou, Guangdong 510640, P.R.China, 

wgh_163@163.net; Xiangyang Li, Department of Automation,, Guangzhou, Guangdong 510640, 

P.R.China........................................................................................................................................ 1876 

2. Effectiveness of Ordinal Information for Data Mining. Helen MOSHKOVICH, University of West 

Alabama, Livingston, AL 35470, US, emm@univ.westal.edu; Alexander Mechitov, University of West 

Alabama, Computer InformationSystems, College of Business, Livingston, AL 35470, USA, 

amechitov@univ.westal.edu; Robert SCHELLENBERGER, East Carolina University, Decision Science, 

Business, Greenville, North Carolina 27858, United States, schellenberger@mail.ecu.edu .................1882 

3. A Parallel Decision Tree Builder for Mining Very Large Visualization Datasets. Kevin 

BOWYER, University of South Florida, Tampa, Florida 33620-5399, USA, kwb@csee.usf.edu; 

Lawrence HALL, University of South Florida, Computer Science & Engineering, College of 

Engineering, Tampa, Florida 33620, United States, hall@csee.usf.edu; Nitesh Chawla, University of 

South Florida, Computer Science and Engineering, Tampa, FL 33620-5399, USA, 

chawla@csee.usf.edu; Thomas Moore, University of South Florida, Computer Science and 

Engineering, Tampa, FL 33620-5399, USA, tmoore4@csee.usf.edu; W. Philip Kegelmeyer, Sandia 

National Labs, Livermore, CA 94551-0969, USA, wpk@ca.sandia.gov..........................................1888 

4. Parallel Data Mining for Pharmacophore Discovery. James GRAHAM, University of Louisville, 

Louiville, KY 40292, USA, jhgrah01@louisville.edu; C. David Page, University of Wisconsin, 

Biostatistics and Medical Informatics, Madison, WI 53706, USA, page@biostat.wisc.edu; Alan Wild, 

University of Louisville, Computer Engineering and Computer Science, Louisville, KY 40292, USA, 

alan@louisville.edu .............................................................................................................................. 1894 

5. A Fast Distributed Mining Algorithm for Association Rules With Item Constraints. Chunhua 

Wang, Northern Jiaotong University, Computer Science and Technology, Beijing, 100044, China, 

chunhuawang@263.net.............................................................................................................................1900 

6. Mining fuzzy Associaton Rules with Weighted Items. Joyce SHU, Department of Computing, 

Hong Kong, China, csyshu@comp.polyu.edu.hk; Eric Tsang, The Hong Kong Polytechnic University, 

Computing, Hong Kong, China, csetsang@comp.polyu.edu.hk; Daniel YEUNG, Hong Kong 

Polytechnic University, Computing, Kowloon Hong Kong China; Daming Shi, Hong Kong Polytechnic 

University, Computing, Hong Kong, P.R.China, csdshi@comp.polyu.edu.hk ................................. 1906

Track 8-C 

MP-2.7: Computational Cybernetics - Data Mining & Knowledge Discovery 2: 

Data Mining with Soft Computing 


Chair: Kevin Bowyer 

Co-Chair: Pascale Kuntz 

1. Genetic Feature Selection Combined with Composite Fuzzy Nearest Neighbor Classifiers for 

High-Dimensional Remote Sensing Data. S. YU, IEEE - Systems, Man, and Cybernetics Society, 

Antwerp, B-2020, Belgium, shixin@ruca.ua.ac.be; S. De Backer, Antwerp, B-2020, Belgium, 

debacker@ruca.ua.ac.be; P. Scheunders, Antwerp, B-2020, Belgium, scheun@ruca.ua.ac.be... 1912 

2. Constructing a Fuzzy Expert System Using the ILFN Network and the Genetic Algorithm. 

Gary YEN, Oklahoma State University, Stillwater, OK 74078, U.S.A., gyen@ceat.okstate.edu; 

Phayung Meesad, Oklahoma State University, Stillwater, OK 74078, USA, 

meesad@okstate.edu ..................................................................................................................... 1917 

3. Evolutionary Approach to Multi-Objectives Optimization Problem Using Adaptive Genetic 

Algorithms. Ali SEKMEN, Tennessee State University, Electrical and Computer Engineering, 

Tennessee State University, Nashville, TN 37235, USA, sekmen@vuse.vanderbilt.edu................ 1923 

4. Interactive visualization of association rule networks with a genetic algorithm. Pascale 

Kuntz, IRESTE, University of Nantes, Nantes, 44306, France, pkuntz@ireste.fr; Rémi Lehn, 

IRESTE, University of Nantes, Nantes, 44306, France, Remi.Lehn@irin.univ-nantes.fr; Henri Briand, 

IRESTE, University of Nantes, Nantes, 44306, France, hbriand@ireste.fr ............................................* 

5. A precise classifier for the substances in urinary sediment images based onneural networks 

and fuzzy reasoning. ning feng ZENG, Department of information science, fukui city, fukui 910-0017, 

Japan, tsenglw@yahoo.com; keiji Taniguchi, fukui university, department of information scicence, 

Fukui, Fukui 910-0017, Japan, tanigu@fuis.fukui-u.ac.jp ................................................................... 1928 

Organizer: Stephanie Guerlain 

Donald E. Brown 

Track 8-D 

TA-1.7: Intelligent Decision Systems 


1. Intelligent Decision Support Systems. Stephanie Guerlain, University of Virginia, Systems 

Engineering, Charlottesville, VA 229030, USA, guerlain@virginia.edu; Donald BROWN, University of 

Virginia, Systems Engineering, Charlottesville, VA 22903, USA, brown@virginia.edu; Christina 

Mastrangelo, University of Virginia, Systems Engineering, Charlottesville, VA 22903, USA, 

cm4m@virginia.edu ........................................................................................................................ 1934

2. A Feature Selection Method for Linear Programming-based Classifiers. Venkat Chalasani 

CHALASANI, University of Virginia, Fairfax, VA 22033, USA, pb3a@virginia.edu; Peter BELING, 

IEEE - Systems, Man, and Cybernetics Society, Charlottesville, VA 22903, USA, 

beling@virginia.edu ............................................................................................................... 1939 

3. Adaptive goal prioritization by agents in dynamic environments. James GUNDERSON, 

University of Virginia, Computer Science, Charlottesville, VA 22093, USA, jpg3u@virginia.edu.... 1944 

4. A Meta-Gaussian Approach to Learning Non-Gaussian Bayesian Network Structure. Hui 

ZHU, University of Virginia, Department of Systems Engineering, Charlottesville, VA 22903, USA, 

hz3f@virginia.edu; Peter BELING, University of Virginia, Charlottesville, VA 22903, USA, 

beling@virginia.edu ...................................................................................................................................1949 

5. Intelligent decision support systems. Stephanie GUERLAIN, University of Virginia, 

Charlottesville, VA USA, guerlain@virginia.edu; Donald BROWN, University of Virginia, Systems 

Engineering, Charlottesville, Virginia 22903, United States, brown@virginia.edu; Christina 

MASTRANGELO, University of Virginia, Systems Engineering, School of Engineering & Applied 

Science, Charlottesville, Virginia 22906-9003, United States, christina@virginia.edu ..............................* 

6. Anytime Replanning Using Locality in Agent Architectures. Gabriel FERRER, University of 

Virginia, Computer Science, Charlottesville, VA 22903, USA, ferrer@cs.virginia.edu ....................1955 

Track 8-E 

TP-1.7: Expert & Knowledge Systems 1 - Knowledge Based Systems 


Chair: Julie A. Adams 

Co-Chair: Mei-Ling Shyu 

1. A complex situational management application employing expert systems. Julie A. Adams 

Ph.D., Eastman Kodak Company, Rochester, NY 14625-4333, USA, adamsj@kodak.com; Carl 

Reynolds Ph.D., Eastman Kodak Company, Rochester, NY 14652-4392, USA, 

carl.reynolds@kodak.com............................................................................................................... 1959 

2. Applications of high-performance knowledge-based technology. Marion CERUTI, Space and 

Naval Warfare Systems Center, San Diego, San Diego, California 92152-5001, USA, 

ceruti@spawar.navy.mil; Craig Anken, United States Air Force Research Laboratory, Rome, N.Y. 

13440, USA, anken@rl.af.mil; Albert Lin, Be-Bee, Inc., San Deigo, CA 92127, USA, albert@bebee.com; 

Stuart Rubin, Space and Naval Warfare Systems Center, San Deigo, Intelligence, 

Surveillance and Reconnaissance Department, San Diego, CA 92152-5001, USA, 

srubin@spawar.navy.mil................................................................................................................. 1965 

3. A work domain analysis for VPN management. Johnson Kuo, University of Waterloo, Systems 

Design Engineering, Waterloo, ON N2L 3G1, Canada, jkuo@engmail.uwaterloo.ca; Catherine 

Burns, IEEE - Systems, Man, and Cybernetics Society, Waterloo, ON N2L 3G1, Canada, 

c4burns@uwaterloo.ca ................................................................................................................... 1972

4. Economic Prediction System Using Double Models. Chengyi SUN, Taiyuan Univ. of Tech., 

Taiyuan, Shanxi Province 030024, P. R. China, scy@tyut.edu.cn..................................................1978 

5. OLAP Data Cubes Configuration with Genetic Algorithms. Wen-Yang LIN, I-Shou University, 

Kaohsiung County, Taiwan 84008, ROC, wylin@isu.edu.tw...........................................................1984 

6. Organizing a Network of Databases Using Probabilistic Reasoning. Mei-Ling Shyu, 

Department of Electrical and Computer Engineering, Coral Gables, FL 33124-0640, USA, 

shyu@miami.edu; Shu-Ching Chen, Florida International University, School of Computer Science, 

Miami, FL 33199, USA, chens@cs.fiu.edu; R. L. Kashyap, Purdue University, School of Electrical 

and Computer Engineering, West Lafayette, IN 47907-1285, USA ................................................1990 

Chair: Marion Ceruti 

Co-Chair: Alfons Schuster 

Track 8-F 

TP-2.7: Expert & Knowledge Systems 2 - Applications of 

Knowledge Based Systems 


1. Integrated Macroeconomic Model (IMEM) and Reasoning Method for IMEM: Combined 

Qualitative-Quantitative Method. Jian CHEN, Tsinghua University, Management Science and 

Engineering, School of Economics and Management, Beijing, 100084, P.R.China, 

jchen@mail.tsinghua.edu.cn; Guozhuo SUN, Tsinghua University, Management Science and 

Engineering, Tsinghua University, Beijing, 100084, P.R.China, sungzh@em.tsinghua.edu.cn ...... 1996 

2. Towards a decision support system for automated testing of complex telecommunication 

networks. Alfons SCHUSTER, University of Ulster, Belfast, Co. Antrim BT37 0QB, Northern Ireland, 

a.schuster@ulst.ac.uk ...............................................................................................................................2002 

3. A fuzzy multiple objective programming approach for personnel selection. Eyup Ertugrul 

KARSAK, Galatasaray University, Industrial Engineering Department, Istanbul, 80840, Turkey, 

karsak@gsunv.gsu.edu.tr ............................................................................................................... 2007 

4. Knowledgeable interface system using distributed multi-agents for mobile computer users. 

setsuo TSURUTA, Hitachi, Ltd., Kawasaki, Kanagawa 215-0013, Japan, tsuruta@sdl.hitachi.co.jp; 

Yuuko Yoshii, Hitachi Building Systems Co. Ltd., Research & Development Center, Tokyo, 120, 

Japan, y_yoshii@cm.hbs.co.jp; Masaki Honma, Hitachi Building Systems Co., Ltd., Research & 

Development Center, Tokyo, 120, Japan, m honma@cm.hbs.co.jp; Akio Nakano, Hitachi 

Building Systems Co., Ltd., Building System Design Dept., Tokyo, 101, Japan, 

a_nakano@cm.hbs.co.jp ................................................................................................................ 2013 

5. A new framework of a decision support system for air to air combat tasks. Shahab Akbari, 

Amirkabir university, Electrical Engineering, Tehran, 15875-4413, Iran, a7323910@cic.aku.ac.ir; 

Mohammad Menhaj, Amirkabir university, Electrical engineering, Tehran, 15875-4413, Iran, 

menhaj@cic.aku.ac.ir...................................................................................................................... 2019

6. Knowledge based Decision Support System for Matchmaking of Enterprise Competence. Yu 

Li, Tsinghua University, Beijing, 100084, P. R. China, liyu@mail.au.tsinghua.edu.cn; Biqing Huang, 

The State CIMS Engineering Research Center, Automation, Tsinghua University, Beijing, 100084, P. 

R. China; Wenhuang Liu, The State CIMS Engineering Research Center, Automation, Tsinghua 

University, Beijing, 100084, P. R. China; Hongmei Gou, IEEE - Systems, Man, and Cybernetics 

Society, Beijing, 100084, P.R.China, hmgou@mail.au.tsinghua.edu.cn; Cheng Wu, The State CIMS 

Engineering Research center, Automation, Tsinghua University, Beijing, 100084, P. R. China ..... 2023 

Chair: Maria Bleyberg 

Co-Chair: Hyo-Taeg Jung 

Track 8-G 

WA-1.7: Intelligent Decision Support Systems - Data Base 

& Software Engineering 


1. A Mobile Agent based Protocol for Distributed Databases Accessing. Yan WANG, 117543, 

Singapore, ywang@comp.nus.edu.sg; Ken C.K. Law, Hong Kong, China; Kian-Lee Tan, 117543, 

Singapore............................................................................................................................................. 2028 

2. XML Based Message Queuing. Motoyasu NAGATA, Osaka Kyoiku University, Kashiwara, 

Osaka 582-8582, Japan, nagata@cc.osaka-kyoiku.ac.jp ...............................................................2034 

3. Clustered Transaction Processing for Electronic Commerce. Motoyasu NAGATA, IEEE - 

Systems, Man, and Cybernetics Society, Kashiwara, Osaka 582-8582, Japan, nagata@cc.osakakyoiku.ac.jp 

..................................................................................................................................... 2040 

4. Dynamic multi-dimensional models for text warehouses. Maria BLEYBERG, Kansas State 

University, Manhattan, Kansas 66506, USA, maria@cis.ksu.edu; Karthik Ganesh, Kansas State 

University, Computing and Information Sciences, Engineering, Manhattan, KS 66506, USA, 

karthik@cis.ksu.edu........................................................................................................................ 2045 

5. Modeling of supply chain-a multi-agent approach. Surya Dev Pathak, Vanderbilt University, 

Nashville, Tennessee TN 37230, USA, surya.d.pathak@vanderbilt.edu; Susumu Kurokawa, 

Vanderbilt University, Management Of Technology, School of Engineering, Nashville, TN 37212, 

USA, kurokawa@vuse.vanderbilt.edu; Greg Nordstrom, Vanderbilt University, Electrical And 

Computer Engineering, School of Engineering, Nashville, TN 37212, USA, 

greg.nordstrom@vanderbilt.edu...................................................................................................... 2051 

6. A Design and Implementation of Object-oriented Framework-based RAD Tool. Hyo-Taeg 

Jung, ETRI (Electronics and Telecommunications Research Institute), Taejon, 305-350, Korea, 

htjung@etri.re.kr ............................................................................................................................. 2057

Organizer: Ricardo Gudwin 

Track 8-H 

WP-1.7: Evaluating Intelligence of Systems 


1. BDD Encoding for Partial Order Constraints and Its Application to Software Verification. 

Masahito Kurihara, Hokkaido Institute of Technology, Department of Electrical Engineering, 

Sapporo, 006-8585, Japan, kurihara@hit.ac.jp; Hisashi Kondo, Ibaraki University, Department of 

Systems Engineering, Faculty of Engineering, Hitachi, Ibaraki Prefecture 316-8511, Japan, 

H.Kondo@dse.ibaraki.ac.jp ............................................................................................................ 2062 

2. Modeling, Extraction and Reuse of Organizational Knowledge. Behrouz H. FAR, Saitama 

University, Faculty of Engineering, Urawa, Saitama 338-8570, Japan, far@computer.org............. 2068 

3. A Bayesian Network-Based Expert Query System for a Distributed Database System. Mei- 

Ling Shyu, University of Miami, Department of Electrical and Computer Engineering, Coral Gables, 

FL 33124-0640, USA, shyu@miami.edu; Shu-Ching Chen, Florida International University, School of 

Computer Science, Miami, FL 33199, USA, chens@cs.fiu.edu ......................................................2074 

4. Evaluating Intelligence: A Computational Semiotics Perspective. Ricardo GUDWIN, 

State University of Campinas, Department of Computer Engineering and Industrial Automation, 

Faculty of Electrical and Computer Engineering, Campinas, SP 13.083-970, Brazil, 

gudwin@dca.fee.unicamp.br .......................................................................................................... 2080 

5. Some Measurable Characteristics of Intelligent Computing Systems. Christopher 

LANDAUER, IEEE - Systems, Man, and Cybernetics Society, LA, CA 90009-2957, USA, 

cal@aero.org .................................................................................................................................. 2086 

Track 8-I 

WP-2.7: Decision Support Systems - Management Information Systems 


Chair: Ron Kolz 

Co-Chair: Fumio Komiya 

1. Plant/ERP Integration. Ronald KOLZ, IEEE - Systems, Man, and Cybernetics Society, Mayfield 

Hts, OH 44124, USA, ron@osisoft.com..........................................................................................2092 

2. A Critical Analysis of Bid Pricing Models and Support Tool. Vicky PAPAIOANNOU, University 

of Manchester Institute of Science and Technology, Manchester, Lancashire M60 1QD, UK, 

mcaihvp2@stud.umist.ac.uk; Nathalie Cassaigne, University of Manchester Institute of Science and 

Technology, Computation, Manchester, M60 1QD, UK, N.Cassaigne@co.umist.ac.uk ................. 2098 

3. An Efficient Method of Setting BPR Themes suitable for ERP Package Selection. Fumio 

KOMIYA, Hitachi, Ltd, Kawasaki, Kanagawa 212-8567, Japan, komiya@bisd.hitachi.co.jp .......... 2104

4. Integrating Concurrency Control and Distributed Data into Workflow Frameworks. Vincenzo 

LOIA, Dept. Matematics and Informatics, Baronissi, Salerno 84081, ITALY, loia@unisa.it; Antonio 

Esposito, University of Salerno, Matematica e Informatica, Baronissi, Salerno 84081, italy, 

loia@unisa.it ................................................................................................................................... 2110 

5. Integrating Object-Oriented Analysis with Action Logic for Model Building. Qijia TIAN, 

Institute of Computing Technology, Chinese Academy of Sciences, P. R. China, Department of 

Information Systems, City University of Hong Kong, Beijing, 100080, China, P. R., 

tianqj@ics.ict.ac.cn; Jian Ma, City University of Hong Kong, Department of Information Systems, 

Hong Kong, China, P.R., isjian@is.cityu.edu.hk; Duanning Zhou, City University of Hong Kong, 

Department of Information Systems, Hong Kong, China, P.R., isszdn@zsu.edu.cn.; Zhongzhi Shi, 

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China, P.R., 

shizz@ics.ict.ac.cn.......................................................................................................................... 2115 

6. Enterprise Competence Modeling and Management. Yu Li,Tsinghua University, Beijing, 

100084, P. R. China, liyu@mail.au.tsinghua.edu.cn; Biqing Huang, The State CIMS Engineering 

Research Center, Automation Department, Tsinghua University, Beijing, 100084, P.R.China, 

hbq@cims.tsinghua.edu.cn; Wenhuang Liu, The State CIMS Engineering Research Center, 

Automation, Tsinghua University, Beijing, 100084, P. R. China; Hongmei Gou, IEEE - Systems, Man, 

and Cybernetics Society, Beijing, 100084, P.R.China, hmgou@mail.au.tsinghua.edu.cn; Cheng Wu, 

The State CIMS Engineering Research Center, Automation, Tsinghua University, Beijing, 100084, P. 

R. China.......................................................................................................................................... 2121 

Track 9-A 

MA-1.9: Systems Modeling & Control - Discrete Event Dynamic Systems 1 

Room: Hermitage D Time: 8:00AM - 10:00AM 

Chair: Shahid Hussain 

Co-Chair: Beno Benhabib 

1. Supervisory control of flexible-manufacturing workcells when producing unplanned part 

types. Beno BENHABIB, University of Toronto, Department of Mechanical Engineering, Toronto, 

Ontario M5S 3G8, Canada, beno@mie.utoronto.ca; Alejandro Ramirez-Serrano, University of 

Toronto, Department of Mechanical Engineering, Toronto, Ontario M5S 3G8, Canada, 

ramirez@mie.utoronto.ca................................................................................................................ 2127 

2. MAISTeR : a user-friendly software package forperformance analysis and decision, based 

on (max,+) algebra. Jean-Louis FERRIER,Angers University, ANGERS, 49000, FRANCE, 

ferrier@istia.univ-angers.fr................................................................................................................... 2132 

3. A Framework for Inferential Problem in DEDS: Fault Diagnosis. S. Mukhopadhyay, Indian 

Institute of Technology, Department of Electrical Engineering / Department of Computer Science and 

Engineering, Kharagpur, 721302, India; Prodip Bhowal, Indian Institute of Technology, Department 

of Electrical Engineering / Department of Computer Science and Engineering, Kharagpur, 721302, 

India, prodipb@lycos.com; Anupam Basu, Dept. of CSE, IIT Kharagpur, India, 721302, Kharagpur, 

West Bengal 721302, India, anupam@cse.iitkgp.ernet.in...............................................................2138

4. Project Management Using Temporal Logic Programming. Shahid Hussain, Mohammad Ali 

Jinnah University, Department of Electrical Engineering and Computer Science, Karachi, Sindh 

75400, Pakistan, RationalPi@yahoo.com; Abbas Zaidi, Mohammad Ali Jinnah University, 

Department of Electrical Engineering and Computer Science, Karachi, Sindh 75400, Pakistan, 

szaidi@cubexs.net.pk ..................................................................................................................... 2144 

5. Dynamical local properties for estimation and control of discrete event systems modeled by 

interpreted Petri nets. María Meda-Campaña, Centro de Investigación y de estudios avanzados, 

Unidad Guadalajara, Guadalajara, Jalisco 45090, México, meda@gdl.cinvestav.mx; Ernesto LOPEZ- 

MELLADO, IEEE - Systems, Man, and Cybernetics Society, Guadalajara, Jalisco 45090, Mexico, 

elopez@gdl.cinvestav.mx; Antonio Ramírez-Treviño, Centro de Investigación y de Estudios 

Avanzados, Unidad Guadalajara, Guadalajara, Jalisco 45090, México, art@gdl.cinvestav.mx...... 2150 

6. A reactive programming procedure for flexible manufacturing systems. Paulo Politano, 

Universidade Federal de São Carlos, Computer Science, São Carlos, SP 13565-905, Brazil, 

paulo@dc.ufscar.br; Orides MORANDIN JR, Universidade Federal de São Carlos, São Carlos, SP 

13565-905, Brazil, orides@dc.ufscar.br; Edilson Kato, Universidade Federal de São Carlos, 

Computer Science, São Carlos, SP 13565-905, Brazil, kato@dc.ufscar.br; Heloisa Camargo, 

Universidade Federal de São Carlos, Computer Science, São Carlos, SP 13565-905, Brazil, 

heloisa@dc.ufscar.br ...................................................................................................................... 2156 

Track 9-B 

MP-1.9: Systems Modeling & Control - Discrete Event Dynamic Systems 2 

Room: Hermitage D Time: 1:00PM - 3:00PM 

Chair: Paulo Politano 

Co-Chair: Philippe Declerck 

1. A Framework for Inferential Problem in DEDS: TTM Based Modeling. S. Mukhopadhyay, 

Indian Institute of Technology, Department of Electrical Engineering / Department of Computer Science 

and Engineering, Kharagpur, 721302, India, smukh@ee.iitkgp.ernet.in; Prodip Bhowal, Indian Institute 

of Technology, Department of Electrical Engineering / Department of Computer Science and 

Engineering, Kharagpur, 721302, India, prodipb@lycos.com; Anupam Basu,Dept. of CSE, IIT 

Kharagpur, India, 721302, Kharagpur, West Bengal 721302, India, anupam@cse.iitkgp.ernet.in .... 2162 

2. A Framework for Inferential Problem in DEDS: State Observation. S. Mukhopadhyay, Indian 

Institute of Technology, Department of Electrical Engineering / Department of Computer Science and 

Engineering, Kharagpur, 721302, India; Prodip Bhowal, Indian Institute of Technology, Department 

of Electrical Engineering / Department of Computer Science and Engineering, Kharagpur, 721302, 

India, prodipb@lycos.com; Anupam BASU, Dept. of CSE, IIT Kharagpur, India, 721302, Kharagpur, 

West Bengal 721302, India, anupam@cse.iitkgp.ernet.in...............................................................2168

3. Regulation problem in DES using Interpreted Petri Nets. Guillermo Ramirez-Prado, 

CINVESTAV-IPN, Automatic Control, CINVESTAV-IPN Unidad Guadalajara, Guadalajara, Jalisco 

45090, Mexico, gramirez@gdl.cinvestav.mx; Alejandra Santoyo-Sanchez, CINVESTAV-IPN Unidad 

Guadalajara, Automatic Control, CINVESTAV-IPN, Guadalajara, Jalisco 45090, Mexico, 

alexa@gdl.cinvestav.mx; Antonio Ramirez-Trevino, CINVESTAV-IPN Unidad Guadalajara, 

Automatic Control, CINVESTAV-IPN, Guadalajara, Jalisco 45090, Mexico, art@gdl.cinvestav.mx; 

Ofelia Begovich-Mendoza, CINVESTAV-IPN, Automatic Control, CINVESTAV-IPN Unidad 

Guadalajara, Guadalajara, Jalisco 45090, Mexico, obegovi@gdl.cinvestav.mx .............................2174 

4. Reliable decentralized supervisory control of discrete event systems with marked language 

specifications. Shigemasa Takai, Wakayama University, Department of Opto-Mechatronics, 

Wakayama, Wakayama 640-8510, Japan, takai@sys.wakayama-u.ac.jp; Toshimitsu Ushio, Osaka 

University, Department of Systems and Human Science, Toyonaka, Osaka 560-8531, Japan, 

ushio@sys.es.osaka-u.ac.jp ........................................................................................................... 2180 

5. A temporal programmer for time-sensitive modelling of discrete-event systems. 

Abbas ZAIDI, Mohammad Ali Jinnah University, Karachi, Sindh 75400, Pakistan, 

szaidi@cubexs.net.pk ..................................................................................................................... 2186 

6. Supervisory control after perturbation. Philippe DECLERCK, University of Angers, Angers, 

Maine et Loire F-49000, France, philippe.declerck@istia.univ-angers.fr; Roland Guihur, University of 

Angers, ISTIA, Angers, F-49000, France........................................................................................2192 

Organizer: Stephen Kercel 

Track 9-C 

MP-2.9: ORNL Research on Bizzare Systems 


1. Recognizing a voice by identifying its model. Stephen KERCEL, IEEE - Systems, Man, and 

Cybernetics Society, Oak Ridge, TN 37831, US, kzo@ornl.gov; Brian Daniano, Oak Ridge National 

Lab, USA, damianob@ornl.gov; Raymond Tucker Jr, Oak Ridge National Laboratory, USA; Alenka 

Brown-VanHoozer, Argonne National Laboratory, USA.......................................................................* 

2. Mapping function and structure for an anticipatory system: is it computationally feasible?. 

Glenn Allgood, Oak Ridge National Laboratory, USA, gog@ornl.gov...........................................2198 

3. The model-based mind. Stephen KERCEL, IEEE - Systems, Man, and Cybernetics Society, Oak 

Ridge, TN 37831, US, kzo@ornl.gov; Alenka Brown-VanHoozer, Argonne National Laboratory, USA, 

alenka@anl.gov; W VanHoozer, Human Learning Dynamics, USA.......................................................2204 

4. Why should engineers be interested in bizarre systems?. Stephen KERCEL, IEEE - Systems, 

Man, and Cybernetics Society, Oak Ridge, TN 37831, US, kzo@ornl.gov ..................................... 2210

5. Recognizing a voice by identifying its model. Brian DAMIANO, Oak Ridge National Laboratory, 

Oak Ridge, Tennessee 37831-6007, USA, damianob@ornl.gov; Stephen KERCEL, Oak Ridge 

National Laboratory, Oak Ridge, Tennessee 37831, United States, kzo@ornl.gov; Raymond Tucker 

Jr., Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6007, USA; S. Alenka Brown- 

VanHoozer, Argonne National Laboratory, Idaho Falls, Idaho 83403-2528, USA.......................... 2216 

Chair: Arne Worm 

Co-Chair: Tetsuya Miyoshi 

Track 9-D 

TA-1.9: Command & Control Systems - Control Systems 


1. A Force/Moment Direction Sensor and Its Use for Human-Robot Interface in Robot 

Teaching. Myoung CHOI, Kangwon National University, Dept. of Electrical and Electronic Eng., 

Chunchon, Kangwondo 200-701, Korea, mhchoi@cc.kangwon.ac.kr ............................................2222 

2. A work domain model to support shipboard Command and Control. Catherine Burns, 

University of Waterloo, Systems Design Engineering, Waterloo, ON N2L 3G1, Canada, 

c4burns@uwaterloo.ca; David Bryant, Humansystems, Incorporated, Guelph, Ontario Canada, 

bryant@humansys.com; Bruce Chalmers, Defense Research Establishment Valcartier, Decision 

Support Technologies Section, Valcartier, Quebec Canada, bruce.chalmers@drev.dnd.ca .......... 2228 

3. Chaotic properties of rhythmic forearm movement. Tetsuya MIYOSHI, IEEE - Systems, Man, 

and Cybernetics Society, Hiroshima, Hiroshima 731-3194, Japan, miyoshi@cs.hiroshima-cu.ac.jp; Atsuo 

MURATA, Computer science, Hiroshima City University, Hitoshima, Hiroshima 731-3194, Japan, 

murata@cs.hiroshima-u.ac.jp....................................................................................................................2234 

4. Information-centered human-machine systems analysis for tactical command & control 

systems modeling and development. Arne WORM, Swedish National Defence College, 

Department of Operational Studies, LINKOPING, SE-581 83, SWEDEN, TRIDENT@dof.se ........ 2240 

5. Decentralized control via eigenstructure assignment. batool LABIBI, universität Bremen, 

Bremen, Bremen 28359, Germany, blabibi@yahoo.com................................................................2247 

6. Decentralized stabilization using descriptor systems. batool LABIBI, universität Bremen, 

Bremen, Bremen 28359, Germany, blabibi@yahoo.com................................................................2252

Organizer: Peter Beling 

Track 9-E 

TP-1.9: Predicitive Modeling: Algorithms & Applications 


1. Performance Modeling of the Advance Field Artillery Tactical Direction System. John 

JAMES, U.S. Military Academy, West Point, NY 10996, USA, dj7833@usma.edu; Joseph Schafer, 

U.S. Military Academy, Information Technology and Operations Center, West Point, NY 10996, USA, 

dj7833@usma.edu; Timothy Presby, U.S. Military Academy, Information Technology and Operations 

Center, West Point, NY 10996, USA, dj7833@usma.edu...............................................................2257 

2. Transient Analysis of DOCSIS 1.1 Cable Modem Networks. Rolando Domdom, ; Brian Espey, 

; Karen Jones, ; Mark Goodman, ; Vincent Lim, ; Stephen PATEK, University of Virginia, Systems 

Engineering, Charlottesville, Virginia 22903, United States, patek@virginia.edu ........................... 2263 

3. Decision Tree Classifiers for Multi-modal Classification Problems. Venkat Chalasani 

CHALASANI, SRA International, Fairfax, VA 22033, USA, pb3a@virginia.edu; Peter BELING, 

University of Virginia, Charlottesville, VA 22903, USA, beling@virginia.edu .................................. 2269 

4. Distributed Denial of Service Attacks. Felix LAU, Simon Fraser University, School of Computing 

Science, Burnaby, BC V5A 1S6, Canada, fwlau@cs.sfu.ca; Stuart H. RUBIN, SPAWAR Systems 

Center, San Diego, CA 92152-5001, U.S.A., srubin@spawar.navy.mil; Michael H. SMITH, University 

of Calgary, Calgary, AB T2N 1N4, Canada, mhs@mining.ubc.ca; Ljiljana TRAJKOVIC, Simon 

Fraser University, School of Engineering Science, Engineering Science, Burnaby, BC V5A 1S6, 

Canada, ljilja@cs.sfu.ca.................................................................................................................. 2275 

5. Population Classification for Managed Healthcare within a State-based Modeling 

Framework. William SCHERER, University of Virginia, Systems Engineering, School of Engineering 

and Appiled Science, Charlottesville, VA 22901, USA, wts@virginia.edu; Douglas Fuller, First Select 

Corporation, Pleasanton, CA 94566, USA, Doug_Fuller@providian.com.......................................2281 

6. A Description Language based on Multi Functional Modeling and a Supply Chain Simulation 

Tool. Tomoyuki KITAGAWA, Faculty of Eng., Dept. of Information Systems Eng. Komoda Lab., Osaka 

University, Suita, Osaka 565-0871, JAPAN, kitagawa@ise.eng.osaka-u.ac.jp; Maruta Tetsuya, Faculty 

of Eng., Dept. of Information Systems Eng. Komoda Lab., Suita, Osaka 565-0871, JAPAN, 

maruta@ise.eng.osaka-u.ac.jp; Yoshitomo Ikkai, Faculty of Engineering, Depertment of Informantion 

Systems Engineering, Osaka University, Suita, Osaka 565-0871, JAPAN, ikkai@ise.eng.osaka-u.ac.jp; 

Norihisa Komoda, Faculty of Engineering, Department of Information Systems Engineering, Osaka 

University, Suita, Osaka 565-0871, JAPAN, komoda@ise.eng.osaka-u.ac.jp ................................... 2287

Chair: N. Bogunovic 

Co-Chair: M. Noto 

Track 9-F 

TP-2.9: Modeling & Control - Optimization Techniques 


1. Deriving heuristics in evolutionary algorithms through families of focused experiments. 

Nikola BOGUNOVIC, R. Boskovic Institute, Zagreb, 10000, Croatia, nikolabo@faust.irb.hr ......... 2293 

2. Feedback Control Techniques for Gradient Based Learning. Yonghong TAN Dr., Guilin Institute 

of Electronic Technology, Lab. of Intelligent Systems and Control Engineering, Guilin, Guangxi 541004, 

China, tany@gliet.edu.cn; Xuanju Dang, Guilin Institute of Electronic Technology, Lab. of Intelligent 

Systems and Control Engineering, Guilin, Guangxi 541004, P.R.China; Chun-Yi Su Dr., Concordia 

University, Mechanical Engineering, Montreal, Quebec H3G 1M8, Canada ..........................................2299 

3. A Parallel Reinforcement Computing Model for Function Optimization Problems. Qian FEI, 

Computer Science,, Hiroshima, Hiroshima 739-0321, Japan, fei@cs.hkg.ac.jp; Ikebou Shigeya, 

Computer Science, Hiroshima Kokusai Gakuin University, Hiroshima, Japan; Wu JiJun, Hiroshima 

Kokusai Gakuin University, Hiroshima Kokusai Gakuin University, Hiroshima, 739-0321, Japan, 

wujj@z.hkg.ac.jp; Hirata Hironori, Graduate School of Science and Technology,, Chiba University, 

Chiba, Japan, Hirata@cute.te.chiba-u.ac.jp....................................................................................2305 

4. Landscape analyses and global search of knapsack problems. Hiroki Yoshizawa, Waseda 

University, Dept. of applied physics, Graduate school of science and engineering, Shinjyuku-ku, 

Tokyo 169-8555, Japan, hiroki@shalab.phys.waseda.ac.jp; Shuji Hashimoto, Waseda University, 

Dept. of applied physics, School of science and engineering, Shinjyuku-ku, Tokyo 169-8555, Japan, 

shuji@shalab.phys.waseda.ac.jp.................................................................................................... 2311 

5. A Method for the Shortest Path Search by Extended Dijkstra Algorithm. Masato Noto, 

Kanagawa University, Yokohama, Kanagawa 221-8686, Japan, noto@cc.kanagawa-u.ac.jp; Hiroaki 

Sato, Fujitsu Program Laboratories, Yokohama, Kanagawa 222-0033, Japan, hsato@maroon.plala.or.jp................................................................................................................. 

2316 

6. Optimization algorithms in organizational design: optimality and complexity. 

Georgiy LEVCHUK, University of Connecticut, Storrs, Connecticut 06269, USA, 

georgiy@engr.uconn.edu; Jie Luo, University of Connecticut, Electrical Engineering, Storrs, CT 

06269, USA, rockey@softhome.net; Yuri Levchuk, APTIMA Inc., Woburn, MA 01801, USA, 

levchuk@aptima.com; Krishna PATTIPATI, University of Connecticut, Electrical & Systems 

Engineering, Schoolof Engineering, Storrs, Connecticut 06269-3157, United States, 

Krishna@sol.uconn.edu.................................................................................................................. 2321

Track 9-G 

WA-1.9: Information Assurance plus Optimization Techniques 


Organization: John Marin 

Donald E. Brown 

1. Optimal Sensors Management Strategies Based on the Modelling of Detection Functions. 

Marie de VILMORIN, LAIL UPRES A 8021-Ecole Centrale de Lille, Villeneuve d'Ascq Cedex, 59651, 

France, devilmorin@isen.fr; Emmanuel DUFLOS, LAIL UPRES A 8021- Ecole Centrale de Lille, 

villeneuve d'ascq Cedex, 59651, France, emmanuel.duflos@isen.fr; Michel PRENAT, Thomson-CSF 

Optronique, Guyancourt, 78283, France, michel.prenat@tco.thomson-csf.com; Philippe 

VANHEEGHE, Ecole Centrale de Lille, Villeneuve d'Ascq, 59651, France, philippe.vanheeghe @eclille.fr..................................................................................................................................................... 

2327 

2. DSP In FSK Soft Computing. Jasvir SINGH, Guru Nanak DevUniversity, Amritsar, Punjab 

143005, INDIA, j_singh@angelfire.com; Davinder Sharma, Guru Nanak Dev UNiversity, Applied 

Physics, Amritsar, Punjab 143005, INDIA, davinder_sharma@yahoo.co.uk; Harinder Singh, Guru 

Nanak Dev University, Deptt. of Applied Physics, Amritsar, Punjab 143005, INDIA, 

harinder_palsingh@yahoo.co.uk; Rahul Behl, Guru Nanak Dev Univesity, Electronics Technology, 

Amritsar, Punjab 143005, INDIA..................................................................................................... 2333 

3. Construction of a prototype multi-agent model for the prediction of criminal events. Donald 

BROWN, IEEE - Systems, Man, and Cybernetics Society, Charlottesville, VA 22903, USA, 

brown@virginia.edu; Louise GUNDERSON, University of Virginia, systems Engineering, 

Charlottesville, Virginia 22903, United States, lfg4a@virginia.edu..................................................2338 

4. Adaptation Techniques for Intrusion Detection and Intrusion Response Systems. Daniel 

RAGSDALE, IEEE - Systems, Man, and Cybernetics Society, West Point, NY 10996, USA, 

fj7900@exmail.usma.army.mil; Curtis Carver, Texas A&M University, Computer Science, College 

Station, TX , carverc@acm.org; Udo POOCH, Texas A&M University, Computer Science, Look 

College of Engineering, College Station, Texas 77843-1246, United States, pooch@cs.tamu.edu; 

Jeffrey Humphries, Texas A&M University, Computer Science, College Station, TX 77843, 

jeffhump@cs.tamu.edu ................................................................................................................... 2344 

5. Anticipatory Planning in Information Operations. John HILL, College Station, Texas 77845, 

USA, john@duvalhill.com; John SURDU, IEEE - Systems, Man, and Cybernetics Society, West 

Point, NY 10996, USA, fj7900@exmail.usma.army.mil; Daniel RAGSDALE, IEEE - Systems, Man, 

and Cybernetics Society, West Point, NY 10996, USA, fj7900@exmail.usma.army.mil; Joseph 

Schafer, US Military Academy, Information Technology and Operations Center, West Point, NY 

10996, USA..................................................................................................................................... 2350 

6. Using Speech to Guide a Mobile Robot Manipulator. Lino Bort, Universidad Jaume I, Castellon, 

Castellon E-12071, Spain, lbort@sg.uji.es; Angel Pascual del Pobil, Castellon, Castellon E-12071, 

Spain, pobil@inf.uji.es..................................................................................................................... 2356

Chair: Sriram Narasimhan 

Co-Chair: Abdelnasser Fawzy 

Track 9-H 

WP-1.9: Modeling & Control - Hybrid Systems 1 


1. A General Ontology based Multi-Lingual Multi-Function Multi-Media Intelligent System. 

Fuji REN, Hiroshima City University, Faculty of Information Sciences, Hiroshima, Hiroshima 731-3194, 

Japan, ren@its.hiroshima-cu.ac.jp; Hongchi SHI, University of Missouri-Columbia, Computer 

Engineering and Computer Science, Engineering, College of, Columbia, Missouri 65211, United States, 

ShiH@missouri.edu ............................................................................................................................. 2362 

2. Intelligent systems for autonomous aircraft. Karthik KRISHNAMURTHY, Texas A&M 

University, College Station, Texas 77843-3141, USA, karthik@aero.tamu.edu; Donald WARD, Texas 

A&M University, College Station, Texas 77843-3141, United States, 

ward@aero.tamu.edu ..................................................................................................................... 2369 

3. A Relationship Between The Bit Error Rate And Partial Parallel Interference Cancellation 

(Ppic) Factor. Abdelnasser FAWZY, Virginia Polytechnic Institute and State University, Blacksburg, 

VA 24060, USA, dr_naser62@yahoo.com......................................................................................2375 

4. An SVD-QR-based approach to fuzzy modeling. Ching-Chang WONG, Department of Electrical 

Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan 25137, Republic of China, 

wong@ee.tku.edu.tw; Chia-Chong Chen, Wufeng Institute of Technology, Electronic Engineering, 

Tamkang University, Taipei Hsien, Taiwan 25137, Republic of China, g6350031@tkgis.tku.edu.tw....2381 

5. Motor fault detection using Elman neural network with genetic algorithm-aided training. 

Xiao-Zhi GAO, Institute of Intelligent Power Electronics, Department of Electrical and 

Communications Engineering, Helsinki University of Technology, Espoo, 02150, Finland, gao@csc.fi; 

Seppo Ovaska, Institute of Intelligent Power Electronics, Department of Electrical and 

Communications Engineering, Helsinki University of Technology, Espoo, 02150, Finland, 

Seppo.Ovaska@hut.fi; Yasuhiko Dote, Department of Computer Science and Systems 

Engineering, Muroran Institute of Technology, Muroran, 050-8585, Japan, 

dote@epsilon2.csse.muroran-it.ac.jp .................................................................................................. 2386 

6. Building observers to handle fault isolation and control problems in hybrid dynamic 

systems. Sriram NARASIMHAN, 1410, 25th Ave S,, Nashville, TN 37212-2621, USA, 

nsriram@vuse.vanderbilt.edu; Gautam BISWAS, Vanderbilt University, Dept. of EECS, College of 

Engineering, Nashville, TN 37235, United States, biswas@vuse.vanderbilt.edu; Gabor KARSAI, 

Vanderbilt University, Dept. of EECS, Nashville, Tennessee 37235, United States, 

gabor@vuse.vanderbilt.edu; Tal PASTERNAK, Vanderbilt University, Institute for Software 

Integrated Systems, Nashville, TN 37235, USA; Feng ZHAO, Xerox Palo Alto Research Labs, IPL- 

SPC, zhao@parc.xerox.com........................................................................................................... 2393

Chair: Richard Saeks 

Co-Chair: Luis Sebra Lopes 

Track 9-I 

WP-2.9: Modeling & Control - Hybrid Systems 2 


1. Linguistic Dynamic Systems and Computing with Words for Complex Systems. FEI-YUE 

WANG, University of Arizona, Tucson, AZ 85721, USA, feiyue@sie.arizona.edu; YUETONG LIN, 

University of Arizona, Department of Systems and Industrial Engineering, Tucson, AZ 85721, US, 

ylin@u.arizona.edu; JAMES B. PU, University of Arizona, Department of Systems and Industrial 

Engineering, Tucson, AZ 85721, US............................................................................................... 2399 

2. On the Design of an Integrated Adaptive Control Architecture for a Hybrid Electric Vehicle. 

Richard SAEKS, Accurate Automation Corporation, Chattanooga, TN 37421, US, rsaeks@accurateautomation.com; 

Chadwick Cox, Accurate Autromation Corp., Chattanooga, TN 37421, USA, 

ccox@accurate-automation.com; John Murray, State University of New York, Electrical Engineering, 

Stony Brook, NY 11700, USA, murray@eegw.ee.sunysb.edu........................................................2405 

3. Evolving Intelligent Multiagent Systems using Unsupervised Agent Communication and 

Behavior Training. Kenneth Mackin, Toin University of Yokohama, Department of Control and 

Systems Engineering, Yokohama, Kanagawa 225-8502, Japan, mackink@intlab.toin.ac.jp; Eiichiro 

Tazaki, Toin University of Yokohama, Department of Control and Systems Engineering, Yokohama, 

Kanagawa 225-8502, Japan, tazaki@intlab.toin.ac.jp ....................................................................2411 

4. Stable extension control of nonlinear systems. Jen-Yang CHEN, China Institute of Technology, 

Taipei, Taiwan 115, Republic of China, jychen@cc.chit.edu.tw; Ching-Chang Wong, Tamkang 

University, Department of Electrical Engineering, Taipei Hsien, ROC, wong@ee.tku.edu.tw......... 2415 

5. Intelligent control and decision-making demonstrated on a simple compass-guided robot. 

Luis SEABRA LOPES, Universidade de Aveiro, Aveiro, 3810, Portugal, lsl@det.ua.pt; Nuno Lau, 

Universidade de Aveiro, Dep. Electronica, Universidade de Aveiro, Aveiro, 3810, Portugal, 

lau@det.ua.pt; Luis Paulo Reis, Faculdade de Engenharia da Universidade do Porto, LIACC, Porto, 

Portugal, lpreis@fe.up.pt ................................................................................................................ 2419 

6. Towards a Paradigm for Activity Modeling. Jason GARRETT, Vanderbilt University, Nashville, 

TN 37202-2432, USA, jason.t.garrett@vanderbilt.edu; Akos LEDECZI, Vanderbilt University, Electrical 

Engineering & Computer Science, School of Engineering, Nashville, Tennessee United States, 

akos@vuse.vanderbilt.edu; Frank DeCaria, DuPont Chemical Corporation, Old Hickory, TN USA, 

Frank.O.DeCaria@USA.dupont.com........................................................................................................2425

Organizer: Georg Frey 

Track 9-J 

WA-1.13: Formal Methods in PLC Programming 


1. Formal methods in PLC programming. Georg Frey, University of Kaiserslautern, Institute of 

Process Automation, 67653 Kaiserslautern, Germany, frey@eit.uni-kl.de; Lothar Litz, University 

of Kaiserslautern, Institute of Process Automation, 67653 Kaiserslautern, Germany, 

litz@eit.uni-kl.de.............................................................................................................................. 2431 

2. PLCTOOLS: Design, formal validation, and code generation for programmable controllers. 

Luciano Baresi, Politecnico di Milano, Depertimento di Elletronica e Informazione, 20133 Milano, 

Italy, baresi@elet.polimi.it; Marco Mauri, Politecnico di Milano, Dipartimento di Elettrotecnica, 20133 

Milano, Italy, mauri@etec.polimi.it; Antonello Monti, Politecnico di Milano, Dipartimento di 

Elettrotecnica, 20133 Milano, Italy, monti@etec.polimi.it; Mauro Pezzè, Politecnico di Milano, 

Dipartimento di Elettronica e Informazione, 20133 Milano, Italy, pezze@elet.polimi.it ................... 2437 

3. A concept for the integrated process description, PLC programming and simulation using 

Petri nets: Application in a production process. I. Antoniadis, National Technical University of 

Athens, Mechanical Eng. Dept., Machine Design and Control Systems Section, 15780 Zografos, 

Greece, antogian@central.ntua.gr; V. Leopoulus, National Technical University of Athens, 

Mechanical Eng. Dept., Industrial Management & O.R. Section, 15780 Zografos, Greece, 

vleo@central.ntua.gr....................................................................................................................... 2443 

4. Towards the automatic verification of PLC programs written in Instruction List. 

G. Canet, LSV - UMR 8643 CNRS & ENS de Cachan, 94235 Cachan Cedex, France, 

Sandrine.Couffin@lurpa.ens-cachan.fr; S. Couffin, LURPA - ENS de Cachan, 94235 Cachan Cedex, 

France, Sandrine.Couffin@lurpa.ens-cachan.fr; J.-J. Lesage, LURPA - ENS de Cachan, 94235 

Cachan Cedex, France; A. Petit, LSV - UMR 8643 CNRS & ENS de Cachan, 94235 Cachan Cedex, 

France; P. Schnoebelen, LSV - UMR 8643 CNRS & ENS de Cachan, 94235 Cachan Cedex, 

France............................................................................................................................................. 2449 

5. Methods and tools to the verification of safety-related control software. Thomas Mertke, 

Brandenburgische Technische Universität Cottbus, Chair of Automation Technology, Cottbus, 

Germany, mertke@aut.tu-cottbus.de; Thomas Menzel, Brandenburgische Technische Universität 

Cottbus, Chair of Data Structures and Software Reliability, Cottbus, Germany, thm@informatik.tucottbus.de 

....................................................................................................................................... 2455

Chair: R. Giuntini 

Co-Chair: F. Ren 

Track 9-K 

WP-1.13: Systems Analysis 1 


1. Active contour models: Application to oral lesion detection in color images. Ghassan 

HAMARNEH, Chalmers University of Technology, Department of Signals and Systems - Imaging and 

Image Analysis Group, Electrical and Computer Engineering, Göteborg, 412 96, Sweden, 

ghassan@s2.chalmers.se; Artur CHODOROWSKI, Chalmers University of Technology, Department of 

Signals and Systems - Imaging and Image Analysis Group, Electrical and Computer Engineering, 

Göteborg, 412 96, Sweden, artur@s2.chalmers.se; Tomas GUSTAVSSON, Chalmers University of 

Technology, Department of Signals and Systems - Imaging and Image Analysis Group, Electrical and 

Computer Engineering, Göteborg, 412 96, Sweden, gustavsson@s2.chalmers.se........................... 2458 

2. Life-Extension Module for Machinery Diagnostic Systems. Ronald GIUNTINI, Wyle 

Laboratories, Inc., Huntsville, Alabama 35807, U.S.A., rgiuntini@hnt.wylelabs.com; John Pooley, 

Amtec Corporation, USA................................................................................................................. 2464 

3. A knowledge-based method for validating specifications including open parts. reki 

YAMAMOTO, Hitachi,Ltd., Systems Development Laboratory, Kawasaki, Kanagawa 215-0013, 

JAPAN, reki@sdl.hitachi.co.jp; setsuo TSURUTA, Hitachi, Ltd., Kawasaki, Kanagawa 215-0013, 

Japan, tsuruta@sdl.hitachi.co.jp; Takashi ONOYAMA, Hitachi Software Engineering Co.,Ltd., 

Resarch & Development Department, Yokohama, Kanagawa 231-0015, Japan, ono@ori.hitachisk.co.jp; 

Kazuko OYANAGI, Hitachi Software Engineering Co.,Ltd., Resarch & Development 

Department, Yokohama, 231-0015, Japan, oyanagi@ori.hitachi-sk.co.jp.......................................2467 

4. Tool MKSF for Acquiring Super-Function in JAVA. Fuji REN, Hiroshima City University, Faculty 

of Information Sciences, Hiroshima, Hiroshima 731-3194, Japan, ren@its.hiroshima-cu.ac.jp; Yoichi 

Takehara Mr, Hiroshima City University, Faculty of Information Sciences, Hiroshima, 731-3194, 

Japan, take@nlp.its.hiroshima-cu.ac.jp .......................................................................................... 2473 

5. Application of Soft Computing Methods to the Diagnosis and Prediction of Glaucoma. 

Mihaela ULIERU, University of Calgary, Faculty of Engineering, Calgary, Alberta T2N 1N4, Canada, 

ulieru@enme.ucalgary.ca; Oscar CUZZANI, University of Calgary, Faculty of Medicine, Calgary, 

Alberta T2N 1N4, Canada, ocuzzani@gimbel.com; Stuart RUBIN, Space and Naval Warfare 

Systems Center, San Diego, San Diego, CA 92152-5001, USA, srubin@spawar.navy.mil; Marion 

CERUTI, Space and Naval Warfare Systems Center, San Diego, San Diego, CA 92152-5001, USA, 

ceruti@spawar.navy.mil.........................................................................................................................* 

6. Feed-Back Model Inspired by Biological Development to Hierarchically Design Complex 

Structure. Kei Ohnishi, Kyushu Institute of Design, Graduate School, Fukuoka, Fukuoka 815-8540, 

Japan, ohnishi@artemis.aid.kyushu-id.ac.jp; Hideyuki TAKAGI, Kyushu Institute of Design, Fukuoka, 

Fukuoka 815-8540, Japan, takagi@kyushu-id.ac.jp ..............................................................................*

Chair: D. Fels 

Co-Chair: P. Kuntz 

Track 9-L 

WP-2.13: Systems Analysis 2 


1. A data-driven approach for supporting extension processing. Ching-Ren WEI, Taipei, 104, 

Taiwan, d8406003@cseserv.cse.ttu.edu.tw ..........................................................................................* 

2. Dynamic rule graph drawing by genetic search. Pascale Kuntz, University of Nantes, IRIN, 

Nantes, 44300, France, pkuntz@ireste.fr; Rémi LEHN, IRESTE, University of Nantes, Nantes, 

44306, France, Remi.Lehn@irin.univ-nantes.fr; Henri Briand, University of Nantes, IRIN, Nantes, 

44300, France, hbriand@ireste.fr ................................................................................................... 2481 

3. Towards accessible synchronous communications. Deborah FELS, Ryerson Polytechnic 

University, Toronto, Ontario M5B 2K3, Canada, dfels@acs.ryerson.ca.................................................* 

4. Neural Networks for Text-to-Speech Phoneme Recognition. Fabio ARCINIEGAS, Rensselaer 

Polytechnic Institute, Decision Sciences & Engineering Systems, Troy, New York 12180-3590, United 

States, arcinf@rpi.edu; Mark EMBRECHTS, Rensselaer Polytechnic Institute, Nuclear General 

Engineering, Troy, New York 12180-3590, United States, embrem@rpi.edu ...........................................* 

5. The Use of Design Patterns for the Development of Multi-Agent Systems. Kostas Kostiadis, 

University of Essex, Department of Computer Science, Colchester, Essex CO4 3SQ, United 

Kingdom, kkosti@essex.ac.uk ...............................................................................................................* 

Track 10-A 

MA-1.5: Computational Cybernetics - Neural Networks 1 


Organizer: Evangelia Tzanakou 

1. Particle swarm optimisation for evolving artificial neural network. Chunkai Zhang, Shanghai 

Jiao Tong University, Automation, Shanghai, Shanghai 200030, P.R.China, 

cgzhang812@mail1.sjtu.edu.cn........................................................................................................... 2487 

2. A Discrete-time Recurrent Neural Network for Solving Quadratic Programs with Application 

to FIR Filter Synthesis. Wai Sum TANG, Chinese University of Hong Kong, Hong Kong, China, 

wstang@mae.cuhk.edu.hk........................................................................................................................2491 

3. Grammars and Cellular Automata for Evolving Neural Networks Architectures. Jose M. 

MOLINA, Universidad Carlos III de Madrid, Leganes, Madrid 28911, Spain, molina@ia.uc3m.es; Ines 

Galvan, Universidad Carlos III de Madrid, Computer Science, Leganes, Madrid 28911, Spain, 

igalvan@inf.uc3m.es; Pedro Isasi, Universidad Carlos III de Madrid, Computer Science, Leganes, 

Madrid 28911, Spain, isasi@ia.uc3m.es; Araceli Sanchis, Universidad Carlos III de Madrid, Computer 

Science, Leganes, Madrid 28911, Spain, masm@inf.uc3m.es........................................................... 2497

4. Complexity reduction of singleton based neuro-fuzzy algorithm. Peter Baranyi, Technical 

University of Budapest, BUDAPEST, 1111, Hungary, baranyi@ttt-202.ttt.bme.hu; Kin-Fong Lei, 

Chinese University of Hong-Kong, Department of Mechanical and Automation Engineering, Shatin, 

Hong-Kong China, kflei@mae.cuhk.edu.hk; Yeung Yam, IEEE - Systems, Man, and Cybernetics 

Society, Hong Kong, China, yyam@mae.cuhk.edu.hk....................................................................2503 

5. Sensitivity Analysis of Multi-layer Perceptron to Input Perturbation*. Xiaoqin ZENG, 

Department of Computing, Hong Kong Polytechnic University, Hong Kong, P. R. China, 

csxzeng@comp.polyu.edu.hk; Daniel YEUNG, Hong Kong Polytechnic University, Computing, 

Kowloon Hong Kong China; Xuequan SUN, Hong Kong Polytechnic University, Hong Kong, China, 

csxqsun@comp.polyu.edu.hk.............................................................................................................. 2509 

6. Justification-Based Belief Maintenance using Neural Networks. Michael GRAY, American 

University, Washington, DC 20016, USA, gray@american.edu..............................................................2515 

Track 10-B 

MP-1.5: Computational Cybernetics - Neural Networks 2 

Room: Edgewood Time: 1:00PM - 3:00PM 


1. Chaotic associative memory for successive learning using internal patterns. Norihiro 

Kawasaki, Keio University, Information and Computer Science, Science and Technology, Yokohama, 

Kanagawa 223-8522, Japan, kawasaki@soft.ics.keio.ac.jp; Yuko Osana, Keio University, Information 

and Computer Science, Science and Technology, Yokohama, Kanagawa 223-8522, Japan, 

osana@soft.ics.keio.ac.jp; Masafumi Hagiwara, Keio University, Information and Computer 

Science, Science and Technology, Yokohama, Kanagawa 223-8522, Japan, 

hagiwara@soft.ics.keio.ac.jp .......................................................................................................... 2521 

2. A two-stage algorithm for improved topography preservation in self-organizing maps. 

James KIRK, University of Louisville, Georgetown, IN 47122, U.S.A., jim.kirk@louisville.edu; Jacek 

ZURADA, University of Louisville, Electrical Engineering, Electrical Engineering, Louisville, Kentucky 

40292, United States, JMZURAO2@ULKYVX.LOUISVILLE.EDU.....................................................2527 

3. Self-organization in probabilistic neural networks. Yuhki SHIRAISHI, Kyushu University, 

Department of Electrical and Electronic Systems Engineering, Graduate School of Information 

Science and Electrical Engineering, Fukuoka, Fukuoka 812-8581, Japan, yuhki@cig.ees.kyushuu.ac.jp; 

Kotaro HIRASAWA, Kyushu University, Department of Electrical and Electronic Systems 

Engineering, Graduate School of Information Science and Electrical Engineering, Fukuoka, Fukuoka 

812-8581, Japan, hirasawa@terra.ees.kyushu-u.ac.jp; Jinglu HU, Kyushu University, Department of 

Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical 

Engineering, Fukuoka, Fukuoka 812-8581, Japan, jinglu@terra.ees.kyushu-u.ac.jp; Junichi 

MURATA, Kyushu University, Department of Electrical and Electronic Systems Engineering, 

Graduate School of Information Science and Electrical Engineering, Fukuoka, Fukuoka 812-8581, 

Japan, murata@terra.ees.kyushu-u.ac.jp .......................................................................................2533 

4. A Chaos Associative Memory with a Skew-Tent Mapping. Masahiro NAKAGAWA, 

Nagaoka University of Technology, Nagaoka, Niigata 940-2188, Japan, 

masanaka@vos.nagaokaut.ac.jp.................................................................................................... 2539

5. Theory Analysis of Discrete Hopfield Neural Network with Delay and Its Applications. 

Eric Tsang, Department of Computing, Hong Kong Polytechnic University, Hong Kong, China, 

csetsang@comp.polyu.edu.hk; ShenShan QIU, Dept.of Computing, Hong Kong Polytechnic University, 

Hong Kong, China, csssqiu@comp.polyu.edu.hk; XiZhao Wang, Department of Computing, Hong 

Kong Polytechnic University, Hong Kong, China, csxzwang@comp.polyu.edu.hk; Daniel YEUNG, 

Hong Kong Polytechnic University, Computing, Kowloon Hong Kong China ..................................... 2545 

6. A Novel Dose-response Model for Foodborne Pathogens using Neural Networks. Baoguo 

Xie, University of Guelph, School of Engineering, Guelph, ON N1G 2W1, Canada; Simon YANG, 

University of Guelph, School of Engineering, College of Physical and Engineering Science, Guelph, 

Ontario N1G 2W1, Canada, syang@uoguelph.ca; Mohamed Karmali, Health Canada, Laboratory for 

Foodborne Zoonoses, Guelph, Ontario N1G 2W1, Canada; Anna Lammerding, Health Canada, 

Laboratory for Foodborne Zoonoses, Guelph, Ontario N1G 3W4, Canada ....................................2551 

Track 10-C 

MP-2.5: Computational Cybernetics - Neural Networks 3 



1. A Visual Nervous Network for Moving Object Recognition. Noriaki Sato, Keio University, 

Department of Information and Computer Science, Faculty of Science and Technology, Yokohama, 223- 

8522, JAPAN, noriaki@soft.ics.keio.ac.jp; Masafumi Hagiwara, Keio University, Department of 

Information and Computer Science, Faculty of Science and Technology, Yokohama, 223-8522, JAPAN, 

hagiwara@soft.ics.keio.ac.jp ............................................................................................................ 2557 

2. An intelligent pressure sensor with self-calibration capability using artificial neural 

networks. SANTANU K. RATH, Regional Engineering College, ROURKELA, ORISSA 769 008, 

INDIA, sk_rath@yahoo.com; JAGDISH C. PATRA, NANYANG TECHNOLOGICAL UNIVERSITY, 

SCHOOL OF ELECTRICAL & ELECTRONIC ENGINEERING, 639 798, SINGAPORE, 

ejcpatra@ntu.edu.sg; ALEX C. KOT, Nanyang Technological University, School of Electrical & 

Electronic Engineering, 639 798, Singapore, eackot@ntu.edu.sg ..................................................2563 

3. Information Theoretic Rule Discovery in Neural Networks. Ryotaro KAMIMURA, Information 

Science Lab., Tokai Univerisity, Hiratsuka, Kanagawa 259-1292, Japan, ryo@cc.u-tokai.ac.jp; Taeko 

KAMIMURA, Senshu University, Department of English, Kawasaki, Kanagawa 214-8580, Japan, 

taekok@isc.u-senshu.ac.jp ............................................................................................................. 2569 

4. Neural Net Based Image Retrieval by Using Color and Location Information. Minoru 

FUKUMI, Faculty of Engineering, Tokushima, Tokushima 770-8506, Japan, fukumi@is.tokushimau.ac.jp 

............................................................................................................................................. 2575 

5. Classification of Sleep-Waking States using Modular Neural Networks. Pablo ESTEVEZ, 

University of Chile, Electrical Engineering, Santiago, Chile, pestevez@cec.uchile.cl; Marcelo 

Fernandez, University of Chile, Electrical Engineering, Santiago, Chile, mafernan@cec.uchile.cl; 

Claudio Held, University of Chile, Electrical Engineering, Santiago, Chile, heldc@cec.uchile.cl; 

Carlos Holzmann, University of Chile, Electrical Engineering, Santiago, Chile, 

holzmann@cec.uchile.cl; Claudio Perez, University of Chile, Electrical Engineering, Santiago, Chile, 

clperez@cec.uchile.cl; Juan Pablo Perez, University of Chile, Electrical Engineering, Santiago, Chile, 

jperez@cec.uchile.cl ....................................................................................................................... 2580


Track 10-D 

TA-1.5: Computational Cybernetics - Neural Networks 4 


1. Reinforcement learning algorithm with network extension for pulse neural network. 

Koichiro Takita, Keio University, Information and Computer Science, Science and Technology, 

Yokohama, Kanagawa 223-8522, Japan, takita@soft.ics.keio.ac.jp; Yuko Osana, Keio University, 

Information and Computer Science, Science and Technology, Yokohama, Kanagawa 223-8522, 

Japan, osana@soft.ics.keio.ac.jp; Hagiwara Masafumi, Keio University, Information and Computer 

Science, Science and Technology, Yokohama, Kanagawa 223-8522, Japan, 

hagiwara@soft.ics.keio.ac.jp .......................................................................................................... 2586 

2. An estimation of nonlinear time series with ARCH error using neural networks. Hajime 

ASATO, University of theRyukyus, Dept. of Information Engineering, Nishihara, Okinawa 903-0213, 

JAPAN, asato@okiu.ac.jp; Hayao MIYAGI, University of theRyukyus, Dept. of Information Engineering, 

Nishihara, Okinawa 903-0213, JAPAN, miyagi@hawk.sys.ie.u-ryukyu.ac.jp; Katsumi YAMASHITA, 

University of theRyukyus, Dept. of Electrical and Electronic Engineering, Nishihara, Okinawa 903-0213, 

JAPAN, yamasita@eee.u-ryukyu.ac.jp.....................................................................................................2592 

3. Topology preserving using harmonic competitive neural networks. Jeanson HUNG, IEEE - 

Systems, Man, and Cybernetics Society, Keelung, 202, Taiwan, xcape@ind.ntou.edu.tw; Jung-Hua 

WANG, IEEE - Systems, Man, and Cybernetics Society, Keelung, TAIWAN, 


4. Adaptive neural activation functions in multiresolution learning. Yao LIANG, Alcatel USA, 

Raleigh, NC 27609, USA, liangy@aur.alcatel.com .........................................................................2601 

5. An Iterative Divide and Conquer Neural Network Model. Farooq AZAM, Virginia Polytechnic 

Institute and State University, Blacksburg, VA 24060, USA, fazam@vt.edu; Hugh VANLANDINGHAM, 

Virginia Polytechnic Institute and State University, Electrical Engineering, College of Engineering, 

Blacksburg, Virginia 24061, United States, HUGHV@VT.EDU ..............................................................2607 

6. State Estimation for Induction Machines Using an Neural Network Backpropagation 

Technique. D'Angelo MARCOS FLÁVIO SILVEIRA VASCONCELOS, Catholic University of Minas 

Gerais, Belo Horizonte, Minas Gerais 30535-610, Brazil, marcos@ppgee.pucmg.br; Costa Jr. 

Pyramo Pires, Catholic University of Minas Gerais - Brazil, Belo Horizonte, Minas Gerais 30535-610, 

Brazil, pyramo@pucminas.br.......................................................................................................... 2613

Track 10-E 

TP-1.5: Systems Modeling & Control - Neural Networks & Clasification Conrol 1 


Chair: Adel Eltimsahy 

Co-Chair: Ivan Nunes Da Silva 

1. Flexible link control using multiple path, multiple RBF neural networks in a direct control 

application. Adel ELTIMSAHY, University of Toledo, Electrical Engr. & Computer Science, Toledo, 

Ohio 43606-3390, United States, aeltims@uoft02.utoledo.edu ......................................................2619 

2. Using neural networks for autonomous robot control. Adrian Moise, Oil & Gas University of 

Ploiesti, Dept. of Automatic Control & Computers, Ploiesti, Prahova 2000, Romania, 

amoise_98@yahoo.com; Bruno Apolloni, University of Milan, Computer Science, Milan, 20135, 

Italy, apolloni@dsi.unimi.it .............................................................................................................. 2625 

3. A New Neural Structure with Parallel and Serial Output via Functional CPBUM Neural 

Network. Te-Mu CHEN, National Taiwan University of Science and Technology, TAIPEI, 106, TAIWAN, 

M8707051@mail.ntust.edu.tw; Tsu-Tian Lee, electronical engineering, National Taiwan University of 

Sience and Technology, TAIPEI, 106, TAIWAN, ttlee@mouse.ee.ntust.edu.tw; Jin-Tsong Jeng, 

Electronic Engineering, Hwa-Hsia College of Technology and Commerce, Taipei, 106, Taiwan, 

tsong@control.ee.ntust.edu.tw..................................................................................................................2631 

4. Fault detection and diagnosis system for air-conditioning units using recurrent type neural 

network. Upali SAMARASINGHE, Waseda University, Tokyo, Shinjuku-Ku 169-8555, Japan, 

herath@shalab.phys.waseda.ac.jp ................................................................................................. 2637 

5. The application of neural networks to the analysis of dissolved gases in insulting oil used in 

transformers. Ivan Nunes DA SILVA, University of Sao Paulo, Electrical Engineering, School of 

Engineering, Bauru, São Paulo 17033-360, Brazil, ivan@bauru.unesp.br; Marcos Imamura, Federal 

Center of Education in Technology, Cornelio Procopio, Parana 86300-000, Brazil; Andre de Souza, 

University of São Paulo - UNESP, Electrical Engineering, School of Engineering, Bauru, São Paulo 

17033-360, Brazil............................................................................................................................ 2643 

6. Neuro- Fuzzy Classification onf the New and Used Bills Using Acoustic Data. D.S. KANG 

and H. MIYAGI, University of the Ryukyus, Nishihara, Okinawa 903-0213, Japan. S. OMATU, Osaka 

Prefecture University, Sakai, Osaka 599-8531, Japan....................................................................2649

Chair: Farooq Azam 

Co-Chair: Nariman Sepehri 

Track 10-F 

TP-2.5: Systems Modeling & Control - Neural Networks 

& Classification Conrol 2 


1. Chebyschev functional link artificial neural networks for nonlinear dynamic system 

identification. JAGDISH C. PATRA, NANYANG TECHNOLOGICAL UNIVERSITY, School of 

Electrical & Electronic Engineering, Singapore, 639 798, Singapore, EJCPatra@ntu.edu.sg; ALEX C. 

KOT, NANYANG TECHNOLOGICAL UNIVERSITY, School of Electrical and Electronic Engineering, 

Singapore, 639 798, Singapore, eackot@ntu.edu.sg; YAN Q. CHEN, NANYANG TECHNOLOGICAL 

UNIVERSITY, School of Electrical and Electronic Engineering, Singapore, 639 798, Singapore, 

eyqchen@ntu.edu.sg...................................................................................................................... 2655 

2. Neural-based control and stability of an inverted pendulum subject to base excitations. 

Qiong (Christine) WU, Winnipeg, Manitoba R3T 5V6, Canada, cwu@cc.umanitoba.ca; Shouling 

He, Winnipeg, Manitoba R3T 5V6, Canada, umhes@cc.umanitoba.ca..........................................2661 

3. Online modeling and prediction of a hydraulic force-acting system with neural networks. 

Shouling He, Winnipeg, Manitoba R3T 5V6, Canada, umhes@cc.umanitoba.ca; Nariman SEPEHRI, 

Winnipeg, Manitoba R3T 5V6, Canada, nariman@cc.umanitoba.ca .............................................. 2667 

4. Modeling and identification of fertility maps using artificial neural networks. Jose Alfredo 

Ulson, University of São Paulo, Electrical Engineering, School of Engineering, Bauru, São Paulo 

17033-360, Brazil, ulson@blv.com.br; Ivan Nunes da Silva, University of Sao Paulo, Bauru, São Paulo 

17033-360, Brazil, ivan@bauru.unesp.br; Sergio Benez, University of São Paulo, Agricultural 

Engineering, Botucatu, São Paulo 18603-970, Brazil; Roberto Villas Boas, University of São Paulo, 

Agricultural Engineering, Botucatu, São Paulo 18603-970, Brazil ...................................................... 2673 

5. An Alternate Radial Basis Function Neural Network Model. Farooq AZAM, Virginia Polytechnic 

Institute and State University, Blacksburg, VA 24060, USA, fazam@vt.edu; Hugh VANLANDINGHAM, 

Virginia Polytechnic Institute and State University, Electrical Engineering, College of Engineering, 

Blacksburg, Virginia 24061, United States, HUGHV@VT.EDU ..............................................................2679 

6. Neuro-PID Control for Inverted Single and Double Pendulums. Sigeru OMATU, Osaka 

Prefecture University, Sakai, Osaka 599-8531, Japan....................................................................2685

Chair: E. Collie 

Co-Chair: D. Weddding 

Track 10-G 

WP-1.5: Neuro-Fuzzy Control 


1. Flexible link control using multiple path, multiple RBF neural networks in a direct. Daniel 

WEDDING Dr., Owens College, Engineering Technology Dept., and VP of Engineering at IST, 

Toledo, Oh 43615, USA, cscon115@uoft02.utoledo.edu ......................................................................* 

2. Design and Experimental Evaluation of a Nonlinear Controller with an Internal Model 

Structure. Akihiro SAKAGUCHI, Sasebo National College of Technology, Sasebo, Nagasaki 857- 

1193, Japan, sakaguchi@c.oka-pu.ac.jp; Toru YAMAMOTO, Department of Technology Education, 

Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8524, Japan, toyamam@sed.hiroshimau.ac.jp 

............................................................................................................................................. 2691 

3. A Method for Solving Large-Scale Flowshop Problems by Reducing Search Space of 

Genetic Algorithms. Nobuo SANNOMIYA, Kyoto Institute of Technology, Electronics and 

Information Science, Kyoto, Kyoto 606-8585, Japan, sanmiya@si.dj.kit.ac.jp.......................................* 

4. Human-like behavior robot - Application to disabled people assistance. Philippe 

HOPPENOT, University of Evry, CEMIF, France, 91025, France, hoppenot@cemif.univ-evry.fr; 

Etienne COLLE, University of Evry, CEMIF, Evry, France 91025, France, ecolle@cemif.univ-evry.fr..* 

5. REAL-TIME CONTROL USING MATLAB SIMULINK. Fong C TENG,Singapore Polytechnic, 

Singapore, 139651, Singapore, fcteng@sp.edu.sg..................................................................................2697 

Chair: J. Baghdachi 

Co-Chair: Eric C.C. Tsang 

Track 10-H 

WP-2.5: Neuro-Fuzzy Systems 


1. On the non-differentiability of fuzzy logic systems. Paolo DADONE, Virginia Tech, Department 

of Electrical and Computer Engineering, Blacksburg, Virginia 24061-0111, United States, 

dadone@vt.edu; Hugh VANLANDINGHAM, Virginia Tech, Department of Electrical and Computer 

Engineering, Blacksburg, Virginia 24061-0111, United States, HUGHV@VT.EDU ...............................2703 

2. Stability of Discrete Hopfield Neural Network with Time-Delay. Shenshan QIU, The Hong 

Kong Polytechnic University, Computing, Hong Kong, China, csssqiu@comp.polyu.edu.hk; Eric C.C. 

TSANG, The Hong Kong Polytechnic University, Computing, HongKong, China, 

csetsang@comp.polyu.edu.hk; Daniel S. YEUNG, The Hong Kong Polytechnic University, 

Computing, Hong Kong, China, csdaniel@comp.polyu.edu.hk..............................................................*

3. Fuzzy Weighted Classification Rule Induction from Data. Eric C.C. TSANG, The Hong Kong 

Polytechnic University, Computing, HongKong, China, csetsang@comp.polyu.edu.hk; Hongbing LI, 

Hong Kong Polytechnic University, Department of Computing, Hong Kong, China, 

cshbli@comp.polyu.edu.hk; Daniel S. YEUNG, The Hong Kong Polytechnic University, Computing, Hong 

Kong, China, csdaniel@comp.polyu.edu.hk; John W.T. Lee, The Hong Kong Polytechnic University, 

Computing, Hong Kong, China, csjlee@comp.polyu.edu.hk ..........................................................................* 

4. A Learning Method for Intelligent Agents. Jalal BAGHDADCHI, Alfred University, Alfred, NY 

14802-1205, USA, baghdadchi@alfred.edu ..........................................................................................* 

5. A Hybrid Algorithm for Structure Identification of Neuro-Fuzzy Modeling. Chen-Sen 

OUYANG, Kaohsiung, 804, Taiwan, ouyang@water.ee.nsysu.edu.tw..........................................................* 

Chair: Menhdi Dehghan 

Co-Chair: Claudio Perez 

Track 11-A 

MA-1.4: Pattern Recognition & Classification 1 - Handwriting 

Room: Two Rivers Time: 8:00AM - 10:00AM 

1. A Novel Hybrid Classifier for Recognition of Handwritten Numerals. Ping ZHANG, Nanyang 

Technological University, Singapore, 639798, Singapore, epzhang@ntu.edu.sg; LiHui Chen, Nanyang 

Technological University, Information Engineering, School of EEE, Singapore, 639798, Singapore; Kot 

Chichung Alex, Nanyang Technological University, Information Engineering, School of EEE, Singapore, 

639798, Singapore.....................................................................................................................................2709 

2. Improved handwritten digit recognition system based on fuzzy rules and prototypes created 

by Euclidean distance. Claudio Perez, Universidad de Chile, Electrical Engineering, Engineering, 

Santiago, Chile, clperez@cec.uchile.cl; Claudio Held, Universidad de Chile, Electrical 

Engineering, Santiago, Chile; Pablo Mollinger, Universidad de Chile, Electrical Engineering, 

Santiago, Chile................................................................................................................................ 2715 

3. Boxing Code for Stroke-Order Free Handprinted Chinese Character Recognition. Kwok-Wah 

Hung, The Hong Kong Polytechnic University, Department of Computing, Hong Kong, P.R. China, 

cskwhung@comp.polyu.edu.hk; Wing-nin Leung, Hong Kong Polytechnic University, Department of 

Computing, Hong Kong, P.R. China, csnleung@comp.polyu.edu.hk; Yau-chuen Lai, Hong Kong 

Polytechnic University, Department of Computing, Hong Kong, P.R. China...........................................2721 

4. Multi-Agents that Identify Touching of Adjacent Digits in Handwritten Hindi Numerals. Reda 

ALHAJJ, American University of Sharjah, Sharjah, Sharjah United Arab Emirates, ralhajj@aus.ac.ae; 

Faruk Polat Dr., METU, CEng, Ankara, 06531, Turkey, polat@ceng.metu.edu.tr; Ashraf Elnagar Dr., 

University of Sharjah, CS, Sharjah, UAE, ashraf@sharjah.ac.ae ....................................................... 2725 

5. Analytical Decision Boundary Feature Extraction for Neural Networks for the Recognition of 

Unconstrained Handwritten Digits. Jinwook Go, Yonsei University, Dept. Electrical and Computer 

Engineering, Seoul, 120-749, KOREA, chulhee@yonsei.ac.kr; Chulhee Lee, Yonsei University, Dept. 

Electrical and Computer Engineering, Seoul, 120-749, KOREA, chulhee@yonsei.ac.kr................ 2731

6. Holistic Handwritten Word Recognition Using Discrete HMM And Self-Organizing Feature 

Map. Mehdi DEHGHAN, University of Windsor, Electrical Engineering, Windsor, Ontario N9B 3P4, 

Canada, vlsidehg@uwindsor.ca; Karim Faez, Amirkabir University of Technology, Electrical 

Engineering, Tehran, Iran, kfaez@cic.aku.ac.ir; Majid Ahmadi, University of Windsor, Electrical 

Engineering, Windsor, Ontario N9B 3P4, Canada, ahmadi@uwindsor.ca; Malayappan SHRIDHAR, 

University of Michigan, DBN Engineering, School of, U-M Dearborn, Dearborn, Michigan 48128-1491, 

United States, mals@umich.edu..................................................................................................... 2735 

Track 11-B 

MP-1.4: Pattern Recognition & Classification 2 - Character Recognition 

Room: Two Rivers Time: 1:00PM - 3:00PM 

Chair: Angelo Marcelli 

Co-Chair: Sigeru Omatu 

1. Selecting Optimal Personalized Features for On-line Signature Verification Using GA. 

W. Wijesoma, Nanyan Technological University, Electrical and Electronic Engineering, EEE, 

Singapore, Singapore 639798, Singapore, eswwijesoma@ntu.edu.sg; Mingming MA, Nanyang 

Technological University, Instrumentation & System Lab., Singapore, Singapore 639798, Singapore, 

p144846527@ntu.edu.sg; Eric SUNG, Nanyang Technological University, Electrical and Electronic 

Engineering, Singapore, Singapore 639798, Singapore, eericsung@ntu.edu.sg ........................... 2740 

2. Curve detection using a new clustering approach in the Hough space. Zhang Ya-Jun, the 

University of Melbourne, Australia, zyj@cs.mu.oz.au; Liu Zhi-Qiang, the University of Melbourne, 

Department of Computer Science and Software Engineering, Australia, zliu@ieee.org................. 2746 

3. Improved Segmentation and Segment Association for On-line Signature Verification 

Kwok Wai Yue, Nanyang Technological University, Control and Instrumentation, Electrical And 

Electronics Engineering, Singapore, 639798, Singapore, kwyue@hotmail.com; Sardha Wijesoma, 

Nanyang Technological University, Control and Instrumentation, Electrical and Electronics Engineering, 

639798, Singapore, esswijesoma@ntu.edu.sg ................................................................................... 2752 

4. Exploring genetic programming for modeling character shape. Angelo MARCELLI, 

Universita' di Salerno, DIIIE, Fisciano, (SA) I- 84084, ITALY, marcelli@diiie.unisa.it .....................2757 

5. An Extension Matrix Approach to Chinese Optical Character Recognition. WenHao SHU, 

Hong Kong Polytechnic University, Hong Kong, China, cswhshu@comp.polyu.edu.hk; Daming Shi, 

University of Southampton, Computer science, Southampton, United Kindom; Guo-Liang Qian, 

Harbin Institute of Technology, Computer Science and Engineering, Harbin, Heilongjiang 150001, 

People's Republic of China; Fusi Wang, Harbin Institute of Technology, Computer Science and 

Engineering, Harbin, Heilongjiang 150001, People's Republic of China; Daniel So Yeung, Hong 

Kong Polytechnic University, Computing, China............................................................................. 2763 

6. Italian Liras Classification Using the LVQ Method. Sigeru OMATU, Osaka Prefecture University, 

Sakai, .........................................................................................................................................................2769

Chair: Daniel Pack 

Co-Chair: Yasue Mitsukura 

Track 11-C 

MP-2.4: Pattern Recognition & Classification 3 - Images 


1. Morphology-based front-view facial contour detection. Wang JIANGANG, Nanyang 

Technological University, Singapore, Intelligent Machines Research Lab, Division of Control and 

Instrumentation, Electrical and Electronic Engineering, Singapore, 639798, Singapore, 

p145290179@ntu.edu.sg; Sung Eric, Nanyang Technological University, Singapore, Division of 

Control and Instrumentation, Electrical and Electronic Engineering, 639798, Singapore, 

eericsung@ntu.edu.sg.................................................................................................................... 2775 

2. A Fast Object Recognition System Using Object Appearances. Daniel PACK, United States 

Air Force Academy, USAF Academy, CO 80840-6236, US, daniel.pack@usafa.af.mil..................2781 

3. A Design of Face Detection System by Using a GA. Yasue MITSUKURA, University of 

Tokushima, Department of Information Science & Intelligent Systems, Faculty of Engineering, 

TOKSHIMA, TOKUSHIMA 770-8506, JAPAN, mitsu@is.tokushima-u.ac.jp; Minoru FUKUMI, 

University of Tokushima, Department of Information Science & Intelligent Systems, Faculty of 

Engineering, Tokushima, Tokushima 770-8506, JAPAN, fukumi@is.tokushima-u.ac.jp; Norio 

AKAMATSU, University of Tokushima, Department of Information Science & Intelligent 

Systems, Faculty of Engineering, Tokushima, Tokushima 770-8506, JAPAN, 

akamatsu@is.tokushima-u.ac.jp ..................................................................................................... 2789 

4. Optimization-based image analysis dealing with symbolic constraints using hierarchical 

multi-agent system. Keiji Gyohten, Department of Computer Science and Intelligent Systems, 

Faculty of Engineering, Oita University, Oita, 870-1192, JAPAN, gyohten@csis.oita-u.ac.jp ......... 2794 

5. A Design of Face Detection System by Using Small-sized Neural Network. Yasue 

MITSUKURA, University of Tokushima, Department of Information Science & Intelligent Systems,, 

Faculty of Engineering, TOKSHIMA, TOKUSHIMA 770-8506, JAPAN, mitsu@is.tokushima-u.ac.jp; 

Minoru Fukumi, University of Tokushima, Department of Information Science & Intelligent Systems, 

Tokushima, Tokushima 770-8506, Japan, fukumi@is.tokushima-u.ac.jp; Norio Akamatsu, University 

of Tokushima, Department of Information Science & Intelligent Systems, Tokushima, Tokushima 770- 

8506, Japan, mitsu@is.tokushima-u.ac.jp .............................................................................................*

Chair: Tarald Kvalseth 

Co-Chair: Hiroshi Watanabe 

Track 11-D 

TA-1.4: Pattern Recognition & Classification 4 - Entropy & 

Bayesian Based Method 


1. From continuous to discrete variables for Bayesian network classifiers. Fatima EL- 

MATOUAT, LABORATOIRE PSI, Université/INSA de ROUEN, MONT SAINT AIGNAN, 76821, 

FRANCE, Fatima.El-Matouat@univ-rouen.fr; Olivier COLOT, LABORATOIRE PSI, Université/INSA de 

ROUEN, MONT SAINT AIGNAN, 76821, FRANCE, Olivier.Colot@insa-rouen.fr; Patrick 

VANNOORENBERGHE, LABORATOIRE PSI, Université/INSA de ROUEN, MONT SAINT AIGNAN 

Cedex, 76821, FRANCE, Patrick.Vannoorenberghe@univ-rouen.fr; Jacques LABICHE, LABORATOIRE 

PSI, Université/INSA de ROUEN, MONT SAINT AIGNAN, 76821, FRANCE, Jacques.Labiche@univrouen.fr 

.......................................................................................................................................................2800 

2. Knowledge Modeling Methods in the Framework of Evidence Theory An experimental 

comparison for melanoma detection. Eric LEFEVRE, Laboratoire PSI, Mont-Saint-Aignan, 76131, 

FRANCE, Eric.Lefevre@insa-rouen.fr; Olivier COLOT, Laboratoire PSI, Mont-Saint-Aignan, 76131, 

FRANCE, Olivier.Colot@insa-rouen.fr; Patrick VANNOORENBERGHE, Laboratoire PSI, Mont-Saint- 

Aignan, 76131, FRANCE, Patrick.Vannoorenberghe@univ-rouen.fr; Denis DE BRUCQ, Laboratoire 

PSI, Mont-Saint-Aignan, 76131, FRANCE, Denis.Debrucq@univ-rouen.fr........................................ 2806 

3. Adaptive Bayesian Classification Using Noninformative Dirichlet Priors. Robert LYNCH Jr., 

Naval Undersea Warfare Center, Code 8212, Signal Processing Branch, Newport, RI 06340, USA, 

lynchrs@npt.nuwc.navy.mil; Peter WILLETT, University of Connecticut, Electrical & Systems 

Engineering, School of Engineering, Storrs, Connecticut 06269, United States, 

WILLETT@ENG2.UCONN.EDU ......................................................................................................... 2812 

4. Entropy based uncertainty measures for classification rules with inconsistency tolerance. 

Xianghui CHEN, Tsinghua University, Automation Department, BeiJing, 100084, P.R.CHINA, 

chenxianghui@263.net; Shanjun ZHU, Tsinghua University, Automation Department, BeiJing, 100084, 

P.R.CHINA; Yindong JI, Tsinghua University, Automation Department, BeiJing, 100084, P.R.CHINA2816 

5. On exponential entropies. Tarald KVÅLSETH Ph.D., IEEE - Systems, Man, and Cybernetics 

Society, Minneapolis, MN 55455, USA, kimfortk@me.umn.edu .............................................................2822 

6. A new view of the formal entropy as a measure of interdependence and its application to 

pattern recognition. Hiroshi WATANABE, No, Sumida-ku, Tokyo 131-0032, Japan, 

hwatanabe@hkg.odn.ne.jp........................................................................................................................2827

Track 11-E 

TP-1.4: Pattern Recognition & Classification 5 - Neural & Statistical Methods 


Chair: George Knopf 

Co-Chair: Pieter Van Vuure 

1. A Comparison of Neural and Statistical Techniques in Object Recognition. Brian Maciel, 

Center for Intelligent Systems, Nashville, Tennessee 37235, USA, macielbd@vuse.vanderbilt.edu; R. 

Peters II, Center for Intelligent Systems, Nashville, Tennessee 37235, USA, 

rap2@vuse.vanderbilt.edu .............................................................................................................. 2833 

2. A new statistical pattern recognition distance rejection model : application to the 

monitoring of car catalytic converters. BOATAS Armand, University of Technology of Compiegne, 

Laboratoire Heudiasyc - UMR CNRS 6599, COMPIEGNE, 60205, FRANCE, aboatas@hds.utc.fr; 

DUBUISSON Bernard, University of Technology of Compiegne, Laboratoire Heudiasyc - UMR CNRS 

6599, Genie Informatique, COMPIEGNE, 60205, FRANCE, bdubuisson@hds.utc.fr; DILLIES - PELTIER 

Marie - Agnès, PSA Peugeot Citroen, Innovation and Quality, Research Advanced Innovative Projects, 

Velizy Villacoublay, 78943, FRANCE, dillies@mpsa.com .......................................................................2839 

3. Improved rule generation for a neuro-fuzzy network. Pieter VAN VUUREN -, Potchefstroom 

University for Christian Higher Education, Potchefstroom, 2520, Republic of South Africa, 

eeipavv@puknet.puk.ac.za; Alwyn Hoffman -, Potchefstroom University for Christian Higher 

Education, Potchefstroom, 2520, Republic of South Africa, eeiajh@puknet.puk.ac.za...................2845 

4. Neural versus difference equation modeling for 2D pattern recognition problems. Claudio 

PEREZ, Universidad de Chile, Electrical Engineering, Engineering, Santiago, Chile, 

clperez@cec.uchile.cl; Guillermo Gonzalez, Universidad de Chile, Electrical Engineering, 

Engineering, Santiago, Chile; Cristian Salinas, Universidad de Chile, Electrical Engineering, 

Engineering, Santiago, Chile........................................................................................................... 2851 

5. A statistical approach for textile fault detection. Ahmed Abouelela, Electronics Research 

Institute, Computers and systems department, Cairo, Egypt, ahmed@eri.sci.eg; Hazem Abbas Dr., Ain 

Shams University, Faculty of engineering, Computers and systems Engineering Department, Cairo, 

11381, Egypt, h.abbas@ieee.org; Hesham Eldeeb, Electronics Research Institute, Computers and 

systems department, Egypt, eldeeb@eri.sci.eg; Salwa Nassar Prof., Electronics Research Institute, 

Computers and systems department, Cairo, 12311, Egypt, salwa@eri.sci.eg .......................................2857 

6. Trinocular data registration using a three-dimensional self-organizing feature map. George 

Knopf, The University of Western Ontario, Department of Mechanical and Materials Engineering, Faculty 

of Engineering Science, London, Ontario N6A 5B9, Canada, gknopf@engga.uwo.ca; Archana Sangole, 

The University of Western Ontario, Department of Mechanical and Materials Engineering, Faculty of 

Engineering Science, London, Ontario N6A 5B9, Canada ......................................................................2863

Chair: Manish Sarkar 

Co-Chair: Kidae Kim 

Track 11-F 

TP-2.4: Pattern Recognition & Classification 6 - Applications 


1. A bat-like sonar system consistiong of hardware digital correlators. Kenji Nakahira, Nagoya 

University, Information Electronics, Nagoya, Aichi 464-8603, Japan, nakahira@bioele.nuee.nagoyau.ac.jp; 

Tetsuji Kodama, Nagoya University, Information Electronics, Nagoya, Aichi 464-8603, 

Japan, kodama@nuee.nagoya-u.ac.jp; Takeshi Furuhashi, Nagoya University, Information 

Electronics, Nagoya, Aichi 464-8603, Japan, furuhashi@nuee.nagoya-u.ac.jp; Hiroshi Maeda, 

Suzuka University of Medical Science, Medical Information Science, Suzuka, Mie 510-0293, Japan, 

maeda@suzuka-u.ac.jp .................................................................................................................. 2869 

2. Decision fusion based cartridge identification using Support Vector Machine. Jie ZHOU, 

Tsinghua University, Department of Automation, Beijing, 100084, P.R.China, 

zhoujie@info.au.tsinghua.edu.cn; Le-ping Xin, Tsinghua University, Department of Automation, 

Beijing, 100084, P.R.China, xinleping@263.net; Gang Rong, Tsinghua University, Department of 

Automation, Beijing, 100084, P.R.China.........................................................................................2873 

3. A Brief Review on Modular Classifiers. Manish SARKAR, Department of Computer Science, 

Singapore, 119260, Singapore, manish_sarkar@hotmail.com ...............................................................2878 

4. A novel approach to analyze the result of Polygraph. Jiang LI, Tsinghua University, Beijing, 

100084, P.R.China, lijiang@mail.cic.tsinghua.edu.cn; Qing Zhuo Sr., Tsinghua University, Automation, 

Beijing, 100084, P.R.China, zhuoqing@mail.tsinghua.edu.cn; Wenyuan Wang, Tsinghua University, 

Automation, Beijing, 100084, P.R.China, wwy-dau@mail.tsinghua.edu.cn ............................................2884 

5. AR model for key-stroker identification. Changshui ZHANG, Tsinghua University, Beijing, 

Beijing 100084, P.R.China, zcs@info.au.tsinghua.edu.cn; Yanhua Sun, Department of Automation, 

Department of Automation, Tsinghua University, Beijing, Beijing 100084, P.R.China, sunyh@263.net 

sunyh@mail.cic.tsinghua.edu.cnsunyh@263.net, sunyh@mail.cic.tsinghua.edu.cn ...................... 2887 

6. Evaluation of Wavelet filters for Speech Recognition. Kidae Kim, Yonsei University, Dept. 

Electrical and Computer Engineering, Seoul, 120-749, Korea, kdkim@hdsp.yonsei.ac.kr; Chulhee Lee, 

Yonsei University, Dept. Electrical and Computer Engineering, Seoul, 120-749, KOREA, 

chulhee@yonsei.ac.kr.......................................................................................................................... 2891

Chair: Stephen Levine 

Co-Chair: Thierry Deneoux 

Track 11-G 

WA-1.4: Pattern Recognition & Classification 7 


1. Self-growing Learning Vector Quantization with Additional Learning and Rule Extraction 

abilities. Dan MIKAMI, Keio University, Infomation and Computer Science, Science and Technology, 

Yokohama, Kanagawa 223-8522, Japan, mikami@soft.ics.keio.ac.jp; Masafumi HAGIWARA, Keio 

University, Information and Computer Science, Science and Technology, Yokohama, Kanagawa 223- 

8522, Japan, hagiwara@soft.ics.keio.ac.jp ..............................................................................................2895 

2. Stability analysis of voting schemes on a continuous model. Liang Chen, Utsunomiya 

University, Computer Scinece Department, Utsunomiya, 321-8505, Japan, lchen@cheerful.com; 

Naoyuki Tokuda, Utsunomiya University, Computer Science Department, Utsunomiya, Tochigi 321- 

8505, Japan, tokuda@cc.utsunomiya-u.ac.jp .................................................................................2901 

3. Correction of Renyi's 'gain of information'. Tarald KVÅLSETH Ph.D., University of Minnesota, 

Minneapolis, MN 55455, USA, kimfortk@me.umn.edu....................................................................... 2907 

4. Reconstructing point patterns with incomplete nonmetric representations. Stephen LEVINE, 

Tufts University, Medford, MA 02155, USA, slevine@tufts.edu; John KREIFELDT, Tufts University, 

Mechanical Engineering, School of Engineering, Medford, Massachusetts 02155, United States, 

jkreif01@emerald.tufts.edu.................................................................................................................. 2912 

5. Ambiguous problem investigation in off-line mathematical expression understanding. Yun 

CHEN, Nagoya University, Uchikawa-Okada Lab., Dept. of Information Engineering, Graduate School of 

Engineering, Nagoya, Aichi 464-8603, Japan, cyun@uchi2.nuie.nagoya-u.ac.jp; Tomomi SHIMIZU, 

Nagoya University, Uchikawa-Okada Lab., Department of Information Engineering, School of 

Engineering, Nagoya, Aichi 464-8603, Japan, tomomi@uchi2.nuie.nagoya-u.ac.jp; Kimihide 

YAMAUCHI, Chubu University, Department of Engineering Physics, College of Engineering, Kasugai, 

Aichi 487-8501, Japan, kain@media.isc.chubu.ac.jp; Minoru OKADA, Chubu University, Departrment of 

Computer Science, College of Engineering, Kasugai, Aichi 487-8501, Japan, okada@cs.chubu.ac.jp 2917 

6. Induction of decision trees from partially classified data. Thierry DENOEUX, Universite de 

Technologie de Compiegne, Compiegne cedex, F-60205, France, Thierry.Denoeux@utc.fr......... 2923 

Chair: S. Lee 

Co-Chair: Y. Kato 

Track 11-H 

WP-1.4: Applications - Pattern Recognition & Classification 


1. A Proposal of Fuzzy Test for Statistical Hypothesis. Yuichi KATO, Shimane University, 

Matsue, 690-8504, Japan, ykato@cis.shimane-u.ac.jp...................................................................2929

2. Robust Speech/Non-Speech Detection in Adverse Conditions Using the Fuzzy Polarity 

Correlation Method. Wu Yadong, Department of Computer Science & Engineering, Shanghai 

Jiaotong University, Shanghai, 200030, China, ydwu@mail1.sjtu.edu.cn; Li Yan, Advanced 

Technologh Research Laboratories, Matsushita Electric Industrial Co., Ltd, Souraku, Kyoto 619-0237, 

JAPAN, liyan@crl.mei.co.jp ............................................................................................................ 2935 

3. Use of Wavelets for Ground-Penetrating Radar Signal Analysis and Multisensor Fusion in 

the Frame of Landmines Detection. Stéphane PERRIN, ISEN, Signaux et Systèmes, Lille, 59046, 

France, stephane.perrin@detexis.thomson-csf.com; Alain BIBAUT M, Thomson csf Detexis, Direction 

technique, Trappes, 78190, France, alain.bibaut@detexis.thomson-csf.com; Emmanuel DUFLOS, 

ISEN, Signaux et Systèmes, Lille, 59046, FRance, emmanuel.duflos@isen.fr; Philippe VANHEEGHE, 

Ecole Centrale de Lille, Villeneuve d'Ascq, 59651, France, philippe.vanheeghe @ec-lille.fr .................2940 

4. A Similarity Retrieval of 3D Polygonal Models Using Rotation Invariant Shape Descriptors. 

Motofumi SUZUKI T., National Institute of Multimedia Education, Japan, NIME, Chiba-shi, Chiba 

261-0014, Japan, motofumi@nime.ac.jp ........................................................................................2946 

5. XML-based Retrieval of Object-oriented Frameworks. Sangdon LEE, Division of Information 

Engineeing, Mokpo National University, Muan-gun, Chonnam 534-729, South Korea, 

leesd@chungkye.mokpo.ac.kr; Hansuk Choi, Division of Information Engineeing, Mokpo National 

University, Muan-gun, Chonnam 534-729, South Korea, chs@dclab.mokpo.ac.kr; Youngjong Yang, 

ETRI-CSTL(Computer & Software Technology Laboratory), Component-Based Software Research 

Team, Real-time Computing Department, Taejon, 305-350, South Korea, yangyj@etri.re.kr; Sangduck 

Lee, ETRI-CSTL(Computer & Software Technology Laboratory), Component-Based Software Research 

Team, Real-time Computing Department, Taejon, Chungnam 305-350, South Korea.........................2953 

6. EEG Analysis using the Fast Wavelet Transform. Zhong ZHANG, Industrial technology center 

of Okayama prefecture, System Engineering, Okayama, 701-1296, Japan, zhang@okakogi.go.jp; 

Hiroaki KAWABATA, Okayama Prefecture University, Faculty of computerscience and system 

engineering, Soja, 719-1197, Japan; Zhi-Qiang LIU, Melbourne University, computer science, 

Melbourne, Australia ....................................................................................................................... 2959 

7. A Study on Reconfigurable Computing System of Cryptography. Teruyoshi Yamaguchi, 

Dept of Electrical Eng. Nagoya University, Nagoya, 464-8603, JAPAN. Tamonori Hashiyama, Inst. 

of Natural Sciences, Nagoya City University, Nagoya, 467-8501, JAPAN. Shigeru Okuma, Dept. of 

Electrical Eng., Nagoya, 4648603, JAPAN. ....................................................................................2965

Chair: Takaaki Yamada 

Co-Chair: Mei Yu 

Track 11-I 

WP-2.4: Applications - Intelligent Transportation Systems 


1. Lane and Obstacle Detection Based on Fast Inverse Perspective Mapping Algorithm. Gang 

Yi JIANG, Division of Electronics Engineering, Ajou University, Suwon, 442-749, South Korea, 

gyjiang@madang.ajou.ac.kr; Tae Young CHOI, Division of Electronics Engineering, Ajou University, 

Suwon, 442-749, South Korea, taeyoung@madang.ajou.ac.kr; Suk Kyo HONG, Division of 

Electronics Engineering, Ajou University, Suwon, 442-749, South Korea, skhong@madang.ajou.ac.kr; 

Jae Wook Bae, Institute for Advanced Engineering, Young, Kyunggido 449-020, Korea; Byung Suk 

Song, Institute for Advanced Engineering, YoungIn, Kyunggido 449-020, Korea..................................2969 

2. An Approach to Korean License Plate Recognition Based on Vertical Edge Matching. Mei 

YU, Division of Electronics Engineering, Ajou University, Ajou University, Suwon, 442-749, Korea, 

gyjiang@madang.ajou.ac.kr; Yong Deak KIM, Division of Electronics Engineering, Ajou University, 

Ajou University, Suwon, 442-749, South Korea, yongdkim@madang.ajou.ac.kr............................2975 

3. Autonomous Robotic Positioning Umbilical System. Nasser HOUSHANGI, Purdue University 

Calumet, Hammond, IN 46323, U.S.A, hnasser@calumet.purdue.edu .......................................... 2981 

4. Spatial information sharing with Patch-working of feature drawings. Takaaki Yamada, 

Hitachi,ltd. Systems Development Lab., Kawasaki, 2150013, Japan, t-yamada@sdl.hitachi.co.jp; Shuji 

Kitazawa, Hitachi,ltd., Systems Engineering Devision, Tokyo, 101-8010, Japan, 

kitaza27@cm.head.hitachi.co.jp .......................................................................................................2987 

5. A study on the fuzzy control navigation and the obstacle avoidance of mobile robot using 

camera. Jung Tae Cho, Kangwon National University, Electrical and Computer Engineering, Kangwon 

National University, Chunchon, Kangwon 200-701, The Republic of Korea, jungtae@can.kangwon.ac.kr; 

Boo Hee Nam, Kangwon National University, Electrical and Computer Engineering, Kangwon National 

University, Chunchon, Kangwon 200-701, The Republic of Korea, boonam@cc.kangwon.ac.kr; Seok 

Won Lee, Kangwon National University, Electrical and Computer Engineering, Chunchon, Kangwon 200- 

701, The Republic of Korea, seokwon@can.kangwon.ac.kr ...................................................................2993 

Track 12-A 

MA-1.6: Systems Modeling & Control - Petri Nets & their Applications 1 

Room: Oaklands Time: 8:00AM - 10:00AM 

Chair: Wlodek Zuberek 

Co-Chair: Juan Rodriguez-Beltran 

1. Using Petri Nets for Data-Dependency Analysis. Fred Cruz Filho, Universidade Federal de 

Pernambuco, Centro de Informatica, Recife, PE 50732-970, Brazil, fmcf@di.ufpe.br; Paulo Maciel, 

Universidade Federal de Pernambuco, Centro de Informatica, Brazil, prmm@di.ufpe.br; Edna 

Barros, Universidade Federal de Pernambuco, Centro de Informatica, Brazil, ensb@di.ufpe.br... 2998

2. Minimum initial marking in timed marked graphs. Juan RODRÍGUEZ-BELTRÁN, CINVESTAV- 

IPN, Guadalajara, Jalisco 45090, MEXICO, jrodrigu@gdl.cinvestav.mx; Antonio RAMIREZ-TREVIÑO, 

CINVESTAV-IPN, Guadalajara, Jalisco 45090, MEXICO, art@gdl.cinvestav.mx .............................. 3004 

3. A Petri-net-based model for the mathematical analysis of multi-agent systems. Kunihiko 

HIRAISHI, Japan Advanced Institute of Science and Technology, Tatsunokuchi, Ishikawa 923-1292, 

Japan, hira@jaist.ac.jp ..............................................................................................................................3009 

4. An Application of LLP Supervisory Control with Petri Net Models in Mobile Robots. Keigo 

KOBAYASHI, Osaka University, Toyonaka, Osaka 560-8531, Japan, kobayasi@sys.es.osakau.ac.jp; 

Toshimitsu Ushio, Department of Systems and Human Science, Osaka University, 

Toyonaka, Osaka 560-8531, Japan, ushio@sys.es.osaka-u.ac.jp .................................................3015 

5. Hierarchical Modeling of Manufacturing Systems Using Petri Nets. Wlodek ZUBEREK, 

Memorial University of Nfld, Dept. of Computer Science, St.John's, NF A1B 3X5, Canada, 

wlodek@cs.mun.ca.............................................................................................................................. 3021 

6. Benchmarking an Algorithm for Petri Net Scheduling. Torbjorn LILJENVALL, Chalmers 

university of technology, Gothenburg, se-412 96 G, Sweden, torlil@s2.chalmers.se.....................3027 

Track 12-B 

MP-1.6: Systems Modeling & Control - Petri Nets & their Applications 2 


Chair: Orides Morandin 

Co-Chair: Sea Ling 

1. Markovian analysis of a heterogeneous system: application to a cooperation task for 

multiple consumer robots. Philippe Rongier, LIRMM - UMR 5506 - University of Montpellier 

II/CNRS, Montpellier, 34392 Cedex, FRANCE, rongier@lirmm.fr; Alain Liegeois, LIRMM - UMR 

5506 - University of Montpellier II/CNRS, Montpellier, 34392 Cedex, France, liegeois@lirmm.fr; 

Olivier Simonin, LIRMM - UMR 5506 - University of Montpellier II/CNRS, Montpellier, 34392 Cedex, 

France, simonin@lirmm.fr............................................................................................................... 3033 

2. Time Petri Nets for Workflow Modelling and Analysis. Sea LING, Monash University, Computer 

Science and Software Engineering, Melbourne, Victoria 3145, Australia, sling@dstc.monash.edu.au; 

Heinz SCHMIDT, Monash University, Computer Science and Software Engineering, Melbourne, 

Victoria 3145, Australia ........................................................................................................................ 3039 

3. Reconfigurable fault tolerant deadlock avoidance controller synthesis for assembly 

processes. FU-SHIUNG HSIEH, Overseas Chinese Institute of Technology, Department of 

Information Management, Taichung, Taiwan 407, R.O.C., shie1210@rs2.occc.edu.tw .................... 3045 

4. The state equation of Petri Net for the LD program. Gi Bum LEE, Research Institute of 

Industrial Science & Technology(RIST), Pohang, Kyungbuk 790-330, Korea, gblee@risnet.rist.re.kr; 

Jin S. Lee, Pohang University of Science and Technology(POSTECH), Electronic and Electrical 

Engineering, Pohang, Kyugnbuk 790-784, Korea, jsoo@postech.ac.kr.......................................... 3051

5. A modular modeling approach for automated manufacturing systems based on shared 

resources and process planning using Petri Nets. Orides MORANDIN JR, Universidade Federal 

de São Carlos, São Carlos, SP 13565-905, Brazil, orides@dc.ufscar.br; Edilson Kato, Universidade 

Federal de São Carlos, Computer Science, São Carlos, SP 13565-905, Brazil, kato@dc.ufscar.br; 

Paulo Politano, Universidade Federal de São Carlos, Computer Science, São Carlos, SP 13565- 

905, Brazil, paulo@dc.ufscar.br; Heloisa A. Camargo, São Carlos Federal University, Computer 

Science Department, São Carlos, São Paulo 13565-905, Brazil, heloisa@dc.ufscar.br; Inamasu 

Ricardo, Universidade de São Paulo, Engenharia Mecânica, Escola de Engenharia de São Carlos, 

São Carlos, SP 13560-250, Brazil, ricardo@cnpdia.embrapa.br; Arthur Porto, Universidade de São 

Paulo, Engenharia Mecânica, Escola de Escola de São Carlos, São Carlos, SP 13560-250, Brazil, 

ajvporto@sc.usp.br......................................................................................................................... 3057 

6. Timed Petri net models of cluster tools. Wlodek ZUBEREK, Dept. of Computer Science, 

St.John's, NF A1B 3X5, Canada, wlodek@cs.mun.ca....................................................................3063 

Organizer: Mengehu Zhou 

Track 12-C 

MP-2.6: Petri Nets in Systems Design 


1. Dynamic reconfiguration of software objects using Petri nets and network unfolding. Kevin 

HE, Univ. of Notre Dame, Electrical Engineering, College of Engineering, Notre Dame, IN 46556, 

USA, xhe@maddog.ee.nd.edu; Michael LEMMON, University of Notre Dame, Electrical Engineering, 

College of Engineering, Notre Dame, Indiana 46556, United States, lemmon.1@nd.edu .............. 3069 

2. Holistic Modeling of Complex Systems with Petri Nets. Penglin ZHU, Institute of Control and 

Automation Engineering, Technical University of Braunschweig, Braunschweig, 38106, Germany, 

zhu@ifra.ing.tu-bs.de; Eckehard SCHNIEDER, Technical University of Braunschweig (Technische 

Universitaet Carolo-Wilhelminia zu Braunschweig), Institute of Control Engineering and Automation 

Technology (Institut fuer Regelungs- und Automatisie, Braunschweig, D-38106, Germany, 

schnieder@ifra.ing.tu-bs.de ............................................................................................................ 3075 

3. Modeling train control systems with Petri nets - A functional model. Michael MEYER ZU 

HÖRSTE, Institute for Automation and Control Engineering (Institut fuer Regelungs-und 

Automatisierungstechnik), Technical University of Braunschweig (Technische Universitaet Carolo- 

Wilhelminia zu Braunschweig), Braunschweig, D-38106, Germany, meyer@ifra.ing.tu-bs.de; Eckehard 

SCHNIEDER, Technical University of Braunschweig (Technische Universitaet Carolo-Wilhelminia zu 

Braunschweig), Institute of Control Engineering and Automation Technology (Institut fuer Regelungs- und 

Automatisie, Braunschweig, D-38106, Germany, schnieder@ifra.ing.tu-bs.de ......................................3081 

4. A Petri Net based Approach for Establishing Necessary Software Design and Testing 

Requirements. Srini RAMASWAMY, IEEE, Cookeville, TN 38505, USA, srini@acm.org ............3087 

5. A Petri -Net based Formal Reasoning Algorithm of Fuzzy Production Rule-based Systems. 

Meimei Gao, Zhiming Wu , and Meng Chu Zhou, Department of Electrical and Computer 

Engineering, New Jersey Institue of Technology, Newark, NJ 07102. *Department of Automation, 

Shanghai Jiao Tong University, Shanghai, China...........................................................................3093

6. Development of Real--Time System Specifications through the Refinement of Duration 

Interval Petri Nets. Daniel Gurovic, Computer Architectures, Computer Science and Automation, 

University of Ilmenau, Ilmenau, 98684, Germany, gurovic@theoinf.tu-ilmenau.de; Wolfgang Fengler, 

Technical University of Ilmenau, Computer Science and Automation, University of Ilmenau, Ilmenau, 

98684, Germany, wfengler@theoinf.tu-ilmenau.de; Jürgen Nützel, Technical University of Ilmenau, 

Computer Science and Automation, Ilmenau, Germany, Juergen.Nuetzel@Theoinf.tu-ilmenau.de.. 3098 

Track 12-D 

TA-1.6: Systems Modeling & Control - Petri Nets & their Applications 3 


Chair: Boleslaw Mikolajczak 

Co-Chair: Fuhua Lin 

1. New structured and hierarchical network model for designing FA control system. Kenzo 

KURIHARA, Kanagawa University, Yokohama, 221-8686, Japan, kurihara@cc.kanagawa-u.ac.jp; 

Seizo Takigawa, Kanagawa University, Depatrment of Industrial Engineering and Management, 

Yokohama, 221-8686, Japan, takigawa@kurilab.ie.kanagawa-u.ac.jp; Nobuyuki Nishiuchi, Kanagawa 

University, Department of Industrial Engineering and Management, Yokomaha, 221-8686, Japan, 

nisi@kurilab.ie.kanagawa-u.ac.jp ........................................................................................................ 3104 

2. Scheduling batch systems using a Petri net model and an intelligent backtrack mechanism. 

Stéphane JULIA, Federal University of Uberlândia, Uberlândia, M.G. 38400-902, Brazil, 

stephane@triang.com.br; Clarimundo Machado M. Júnior, UFU, Uberlândia, M.G. 38400-902, 

Brazil, clarim@facintr.com.br .......................................................................................................... 3110 

3. Incorporating Communication Monitoring and Control Facility in Multi-agent Systems. 

Fuhua LIN, National Research Council of Canada, Ottawa, Ontario K1A 0R6, Canada, 

oscar.lin@ieee.org.......................................................................................................................... 3116 

4. A study on the subnet of Petri net models using Transitive Matrix.. Yu-Jin SONG, Department 

of Computer Science, Changwon, Kyungnam 641-773, Republic of Korea, syj@sarim.changwon.ac.kr; 

Jong-Kun LEE ,Changwon University, Changwon, Kyungnam 641-773, South Korea, 

jklee@sarim.changwon.ac.kr ....................................................................................................................3122 

5. Extending G-Nets to Support Inheritance Modeling in Concurrent Object-Oriented Design. 

Haiping XU, University of Illinois at Chicago, Electrical Engineering and Computer Science, Chicago, 

Illinois 60607-7053, United States, hxu1@eecs.uic.edu; Sol SHATZ, University of Illinois at Chicago, 

Electrical Engineering and Computer Science, Chicago, Illinois 60607-7053, United States, 

shatz@eecs.uic.edu........................................................................................................................ 3128 

6. SPECIFICATION of DISTRIBUTED SYSTEMS with ACTORS using OBJECT-ORIENTED PETR 

NETS. Boleslaw MIKOLAJCZAK, Computer and Information Science, Dartmouth, MA 02747, USA, 

bmikolajczak@umassd.edu; Artur Ottlik, University of Massachusetts Dartmouth, Computer and 

Information Science Department, Dartmouth, MA 02747, USA, bmikolajczak@umassd.edu ...............3134

Track 12-E 

TP-1.6: Systems Modeling & Control - Petri Nets & their Applications 4 


Chair: Michael Sanders 

Co-Chair: Edilson Kato 

1. REFLECTED METHOD FOR HAVING CONSCIOUSNESS. Shigeki SUGIYAMA, Gifu 

Research and Development Foundation, Kakamigahara, Gifu 509-0108, Japan, 

sugiyama@insv.stp.pref.gifu.jp .................................................................................................................3141 

2. A modular modeling approach for CNC machines control using Petri Nets. Edilson KATO, 

Federal University of San Carlos - UFSCar, Computer Science Department, São Carlos, São Paulo 

13565-905, Brazil, kato@dc.ufscar.br; Orides Morandin Jr., Federal University of San Carlos, 

Computer Science Department, São Carlos, São Paulo 13565-905, Brazil, orides@dc.ufscar.br; 

Paulo Politano, Federal University of San Carlos, Computer Science Department, São Carlos, São 

Paulo 13565-905, Brazil, paulo@dc.ufscar.br; Heloisa Camargo, Federal University of San 

Carlos, Computer Science Department, São Carlos, São Paulo 13565-905, Brazil, 

heloisa@dc.ufscar.br ...................................................................................................................... 3147 

3. Efficient computation of enabled transition bindings in high-level Petri nets. Michael 

SANDERS, IBM Global Services Australia, Melbourne, VIC 3000, Australia, 

msanders@ozemail.com.au ........................................................................................................... 3153 

4. Using UML and Object-Coordination-Nets for workflow specification. Guido Wirtz, University 

of Muenster, Muenster, 48149, Germany, guidow@math.uni-muenster.de; Holger Giese, University of 

Muenster, Institute for Computer Science, Distributed Systems Group, Muenster, 48149, Germany, 

gieseh@math.uni-muenster.de .................................................................................................................3159 

5. Resource Sharing Estimation by Petri Nets in PISH Hardware/Software Co-design System, 

Paulo Maciel, Edna Barros, Mauro Silva and Fred Cruz Filho, Centro de Informatica-Universidate 

Federal de Pernambuco Recife, Brazil, 50740-540 .................................................................................3165 

6. Optimal structure analysis of Universal Learning Network with multi-branches. 

Min Han, Dalian University of Technology, Electronic and Information Engineering, Dalian, Liaoning 

116023, China, minhan@dlut.edu.cn; Kotaro Hirasawa, Kyushu University, Electrical and Electronic 

System Engineering, Fukuoka, Fukuoka 812-8581, Japan, hirasawa@ees.kyushu-u.ac.jp; Hangen Ni, 

Dalian University of Technology, Civil Engineering, Dalian, Liaoning 116023, China; Xiaomeng Jia, 

Dalian University of Technology, Electronic and Information Engineering, Dalian, Liaoning 116023, 

China.................................................................................................................................................... 3171

Organization: M. Zhou 

Track 12-F 

TP-2.6: Petri Nets and their Novel Applications 


1. Modeling mobile agent systems with high level Petri nets. Dianxiang XU, Miami, 

Florida 33199, USA, xud@cs.fiu.edu; Yi DENG, Miami, Florida 33199, United States, 

deng@cs.fiu.edu............................................................................................................................. 3177 

2. Petri-Net-Based Business Process Modeling for Virtual Enterprises. Hongmei GOU, 

Tsinghua University, Beijing, P.R.China, Beijing, 100084, P.R.China, 

hmgou@mail.au.tsinghua.edu.cn; Biqing Huang, Tsinghua University, Beijing, P.R.China, Beijing, 

100084, P.R.China; Wenhuang Liu, Tsinghua University, Beijing, P.R.China, Beijing, 100084, 

P.R.China; Shouju Ren, Tsinghua University, Beijing, P.R.China, Beijing, 100084, P.R.China; Yu Li, 

Tsinghua University, Beijing, P.R.China, Beijing, 100084, P.R.China.............................................3183 

3. Steady State of Continuous Neutral Weighted Marked Graphs. Isabel DEMONGODIN, Ecole 

des Mines de Nantes / IRCCyN, Automatic control and production systems, Nantes, 44307, France, 

demon@emn.fr; Mustapha MOSTEFAOUI, Ecole des Mines de Nantes / IRCCyN, Automatic control 

and production systems, Nantes, 44307, France, mostefao@emn.fr; Nathalie SAUER, Ecole des 

Mines de Nantes / IRCCyN, Automatic control and production systems, Nantes, 44307, France, 

sauer@emn.fr ................................................................................................................................. 3189 

4. Developing Adaptive Buffer-Level Synchronization Algorithm by Petri Nets for Improving 

Quality of Multimedia Related Services. Inseon KOH, IEEE - Systems, Man, and Cybernetics 

Society, Seoul, 121-791, Korea, inseon@wow.hongik.ac.kr; Jun-Yeol Park, IEEE - Systems, Man, 

and Cybernetics Society, Seoul, 121-791, Korea, parkjy@wow.hongik.ac.kr; Joo-Han Song, IEEE - 

Systems, Man, and Cybernetics Society, Seoul, 121-791, Korea, sjh1swj@hanmail.net ...............3195 

Organizer: Mengehu Zhou 

Track 12-G 

WA-1.6: Petri Nets in Scheduling andConrol 


1. Control logic generation for machining systems using modular structured Petri Nets. Euisu 

PARK, University of Michigan, Ann Arbor, MI 48109-2122, US, euisu@umich.edu .......................3201 

2. Modelling train control systems with Petri Nets - an operational specification. Stefan Einer, 

Technical University of Braunschweig, Institute for Control and Automation Engineering, 

Braunschweig, D-38106, Germany, einer@ifra.ing.tu-bs.de; Roman Slovák, University of ilina, 

Department of Information and Safety Systems, ilina, SK-01026, Slovakia, slovak@fel.utc.sk; 

Eckehard Schnieder, Technical University of Braunschweig, Institute of Control and Automation 

Engineering, Braunschweig, D-38106, Germany, schnieder@ifra.ing.tu-bs.de ..............................3207

3. Adaptive job-shop scheduling with routing and sequencing flexibility using expert 

knowledge and Coloured Petrinets. Horst Ey, University of Applied Sciences 

Braunschweig/Wolfenbüttel, Wolfsburg, 38440, Germany, H.Ey@FH-Wolfenbuettel.de; Dirk 

Sackmann, University of Applied Sciences Braunschweig/Wolfenbüttel, Wolfsburg, 38440, Germany, 

D.Sackmann@FH-Wolfenbuettel.de; Martin Mutz, University of Aplied Sciences 

Braunschweig/Wolfenbüttel, Wolfsburg, 38440, Germany, M.Mutz@FH-Wolfenbuettel.de; Jürgen 

Sauer, University Oldenburg, Oldenburg, 26121, Germany ...........................................................3212 

4. A new heuristic method for solving the minimum initial marking problem of Petri nets. 

Shin'ichiro Nishi, Department of Circuits and Systems, Faculty of Engineering, Hiroshima University, 

Higashi-Hiroshima City, Hiroshima 739-8527, Japan, nishi@infonets.hiroshima-u.ac.jp; Satoshi 

TAOKA, Department of Circuits and Systems, Faculty of Engineering, Hiroshima University, Higashi- 

Hiroshima City, Hiroshima 739-8527, Japan, taoka@infonets.hiroshima-u.ac.jp; Toshimasa 

WATANABE, Department of Circuits and Systems, Faculty of Engineering, Hiroshima University, 

Higashi-Hiroshima City, 739-8527, Japan, watanabe@infonets.hiroshima-u.ac.jp ............................ 3218 

Track 12-I 

WP-2.6: Manufacturing Systems Control 


1. Semi-Automatic Control of Overhead Crane using Potential Method. Makio SUZUKI, 

Toyohashi University of Techology, System & Control Engineering Laboratory, Production System 

Engineering, Toyohashi, Aichi 441-8580, Japan, suzuki@procon.tutpse.tut.ac.jp; Kazuhiko 

TERASHIMA, Toyohashi University of Techology, Production System, Toyohashi, Aichi 441-8580, 

Japan, terasima@procon.tutpse.tut.ac.jp........................................................................................3224 

Chair: Weihai Chen 

Co-Chair: Minoru Sasaki 

Track 13-A 

MA-1.10: Robotics & Control - Robotic Dynamics & Control 1 

Room: Kingsley Time: 8:00AM - 10:00AM 

1. Maneuvering Target Tracking Using Constant Velocity and Constant Angular Velocity 

Model. Takashi MATSUZAKI, Mitsubishi Electric Corporation, Kamakura city, Kanagawa prefecture 

247-8501, Japan, matz@isl.melco.co.jp .........................................................................................3230 

2. A behavior-based control architecture. Roland STENZEL, Aachen University of Technology, 

Aachen, NRW 52056, Germany, stenzel@informatik.rwth-aachen.de............................................3235 

3. Optimal trajectory generation for redundant planar manipulators. Brendan MCAVOY, 

University of Salford, School of Aeronautical and Mechanical Engineering, Salford, M5 4WT, UK, 

b.mcavoy@pgr.salford.ac.uk; Bamidele SANGOLOLA, University of Salford, School of Aeronautical 

and Mechanical Engineering, Salford, M5 4WT, UK, b.a.sangolola@salford.ac.uk; Zsolt SZABAD, 


Z.Szabad@pgr.salford.ac.uk ............................................................................................................... 3241

4. An Ideal Proportional Navigation Guidance System for Moving Object Interception - Robotic 

Experiments. Jonathan M. Borg, Computer Integrated Manufacturing Laboratory, Department of 

Mechanical and Industrial Engineering, Toronto, Ontario M5S 3G8, Canada, jborg@mie.utoronto.ca; 

Mehran Mehrandezh, Applied Science, School of Engineering Science, Burnaby, B.C. V5A 1S6, 

Canada, mmehrand@cs.sfu.ca; R. G. Fenton, Department of Mechanical and Industrial Engineering, 

Toronto, Ontario M5S 3G8, Canada, fenton@mie.utoronto.ca; Beno BENHABIB, Department of 

Mechanical Engineering, Toronto, Ontario M5S 3G8, Canada, beno@mie.utoronto.ca .................. 3247 

5. Cartesian coordinate control for redundant modular robots. Weihai Chen, Gintic Institute of 

Manufacturing Technology, 638075, Singapore, whchen@gintic.gov.sg; I-Ming Chen, School of 

Mechanical & Production Engineering, Nanyang Technological University, 639798, Singapore; Wee Kiat 

Lim, School of Mechanical & Production Engineering, Nanyang Technological University, 639798, 

Singapore; Guilin Yang, Gintic Institute of Manufacturing Technology, 638075, Singapore.................3253 

6. Self-Tuning Control of a Translational Flexible Arm Using Neural Networks. Minoru SASAKI, 

Gifu University, Gifu, GIFU-KEN 501-1193, JAPAN, sasaki@cc.gifu-u.ac.jp; Hideo Asai, Gifu University, 

Department of Mechanical and Systems Engineering, Gifu, 501-1193, JAPAN, asat@cc.gifu-u.ac.jp; 

Motohiro Kawafuku, Gifu University, Department of Mechanical and Systems Engineering, Gifu, 501- 

1193, JAPAN, kawafuku@gifu-nct.ac.jp; Yasuro Hori, Gifu University, Department of Mechanical and 

Systems Engineering, Gifu, Gifu Pref. 501-1193, JAPAN, hori@mech.gifu-u.ac.jp ...............................3259 

Track 13-B 

MP-1.10: Robotics & Control - Robotic Dynamics & Control 2 

Room: Kingsley Time: 1:00PM - 3:00PM 

Chair: Ron Lumia 

Co-Chair: Ziauddin Ahmad 

1. Using Trinocular Vision to Build a Real-time World Model. Ron LUMIA, University of New 

Mexico, Albuquerque, NM 87131, USA, lumia@me.unm.edu ........................................................3265 

2. Control to Realize Human-like Walking of a Biped Humanoid Robot. Hun-ok Lim, Kanagawa 

Institute of Technology, System Design of Technology, Atsugi, Kanagawa 243-0292, Japan, 

holim@sd.kanagawa-it.ac.jp; Yousuke Yamamoto, Waseda University, JAPAN; Atsuo Takanishi, 

Waseda University, Mechanical Engineering, JAPAN ....................................................................3271 

3. An optimal robot tracking controller with application in the finite horizon case. Ziauddin 

AHMAD, National University of Sciences and Technology, Pakistan, Rawalpindi, pakistan, 

siraj@isb.comsats.net.pk................................................................................................................. 3277 

4. Motion planning for a new golf swing robot. Aiguo MING, University of Electr-Communications, 

Department of Mechanical Engineering and Intelligent Systems, Chofu-shi, Tokyo 182-8585, JAPAN, 

ming@mce.uec.ac.jp; Makoto KAJITANI, University of Electro-Communications, Department of 

Mechanical Engineering and Intelligent System, Chofu-shi, Tokyo 182-8585, JAPAN..........................3282 

5. Position/Force Control of Biped Walking Robots. Filipe SILVA, University of Aveiro, Aveiro, 

3810, Portugal, nop34022@mail.telepac.pt; José Machado, Polytechnic Institute of Porto, Dept. of 

Electrical Engineering, Porto, 4200, Portugal..................................................................................3288

6. Behavior modification for continuous locomotion of brachiation-type mobile robot. Yasuhisa 

HASEGAWA, Nagoya University, Dept. of Micro System Engineering, Nagoya, Aichi 464-8603, Japan, 

yasuhisa@mein.nagoya-u.ac.jp; Toshio Fukuda, Nagoya University, Center for Cooperative Research in 

Advanced Science and Technology, Nagoya, Aichi 464-8603, Japan, fukuda@mein.nagoya-u.ac.jp; 

Yoshikuni Ito, Nagoya Univeristy, Dept. of Micro System Enbineering, Nagoya, Aichi 4164-8603, Japan, 

y_ito@robo.mein.nagoya-u.ac.jp ..............................................................................................................3294 

Track 13-C 

MP-2.10: Robotics & Control - Robotic Dynamics & Control 3 


Chair: John Budenske 

Co-Chair: Guilherme Pereira 

1. Fault Tolerant Gaits of Legged Robots for Locked Joint Failures. Jung-Min YANG, 

Electronics and Telecommunications Research Institute(ETRI), Virtual Reality Department, Taejon, 

305-350, Korea, jmyang@etri.re.kr................................................................................................. 3300 

2. Nomadic routing applications for wireless networking in a team of miniature robots. John 

BUDENSKE, Architecture Technology Corporation, Minneapolis, MN 55424, USA, 

budenske@atcorp.com; Jordan BONNEY, Architecture Tech Corporation, Minneapolis, Minnesota 

55424, United States, jbonney@atcorp.com; Atiq AHAMAD, Architecture Technology Corporation, Eden 

Prairie, MN 55344, , aa@atcorp.com; Ranga RAMANUJAN, Architecture Tech Corp, Minneapolis, 

Minnesota 55424, United States, ranga@atcorp.com; Dean HOUGEN, Center for Distributed Robotics, 

Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, 

USA, hougen@cs.umn.edu; Nikolaos PAPANIKOLOPOULOS, University of Minnesota, Minneapolis, 

Minnesota 55415-1226, United States, npapas@cs.umn.edu ................................................................3306 

3. Data based dynamical modeling of vision observed small robot. Guilherme Pereira, 

Universidade Federal de Minas Gerais, Programa de Pós-Graduação em Engenharia Elétrica, Belo 

Horizonte, Minas Gerais 31270-901, Brazil, gpereira@dcc.ufmg.br; Mario Campos, Universidade 

Federal de Minas Gerais, Departamento de Ciência da Computação, Belo Horizonte, Minas Gerais 

31.270-010, Brazil, mario@dcc.ufmg.br; Luis Aguirre, Universidade Federal de Minas Gerais, 

Departamento de Engenharia Eletrônica, Belo Horizonte, Minas Gerais 31270-901, Brazil, 

aguirre@cpdee.ufmg.br .................................................................................................................. 3312 

4. Dynamic Dispatching of Coordinated Sensors. Michael Naish, Computer Integrated 

Manufacturing Laboratory, Department of Mechanical and Industrial Engineering, University of 

Toronto, Toronto, Ontario M5S 3G8, Canada, naish@mie.utoronto.ca; Elizabeth Croft, Industrial 

Automation Laboratory, Department of Mechanical Engineering, University of British Columbia, 

Vancouver, B.C. V6T 1Z4, Canada, ecroft@mech.ubc.ca; Beno BENHABIB, Computer Integrated 

Manufacturing Laboratory, Department of Mechanical and Industrial Engineering, University of 

Toronto, Toronto, Ontario M5S 3G8, Canada, beno@mie.utoronto.ca...........................................3318 

5. Adaptive Control of Free-Floating Space Manipulators. Osman PARLAKTUNA, Osmangazi 

University, Eskisehir, 26030, Turkey, oparlak@ogu.edu.tr; Metin Özkan, Osmangazi University, 

Electrical Engineering, Engineering, Eskisehir, Turkey, meozkan@ogu.edu.tr...............................3324

Chair: Vinicius Oliveira 

Co-Chair: H. Dadi 

Track 13-D 

TA-1.10: Robotics & Control - Robotics Dynamics & Control 4 


1. On Lyapunov's stability control of two-link base-excited inverted pendulums with 

applications to human locomotion. Qiong (Christine) WU, Winnipeg, Manitoba R3T 5V6, Canada, 

cwu@cc.umanitoba.ca; Ryan Swain, Winnipeg, Manitoba R3T 5V6, Canada............................... 3330 

2. Genetic optmisation of manipulation forces for cooperating robots. Zsolt SZABAD, 


z.szabad@pgr.salford.ac.uk; Bamidele SANGOLOLA, University of Salford, School of Aeronautical 

and Mechanical Engineering, Salford, M5 4WT, UK, b.a.sangolola@salford.ac.uk; Brendan 

MCAVOY, University of Salford, School of Aeronautical and Mechanical Engineering, Salford, M5 

4WT, UK, b.mcavoy@pgr.salford.ac.uk ..........................................................................................3336 

3. Feedforward control of a mobile robot using a neural network. Vinicius Oliveira, Federal 

University of Santa Catarina, Department of Automation and Systems, Florianopolis, SC 88040-900, 

BRAZIL, vinicius@ieee.org; Edson Roberto de Pieri, Federal University of Santa Catarina, 

Department of Automation and Systems, Florianopolis, SC 88040-900, BRAZIL, edson@lcmi.ufsc.br; 

Walter Lages, Federal University of Rio Grande do Sul, Electrical Engineering Department, 

Engineering School, Porto Alegre, RS 90035-190, BRAZIL, w.fetter@ieee.org .............................3342 

4. Investigation of manipulative intelligence. Chalita HIRANSOOG, University of Edinburgh, 

Edinburgh, Scotland EH1 2QL, U.K., chalitah@dai.ed.ac.uk; Christopher Malcolm, University of 

Edinburgh, Division of Informatics, Artificial Intelligence, Edinburgh, EH1 2QL, U.K., 

cam@dai.ed.ac.uk .......................................................................................................................... 3348 

5. Mobile Robot Localization using an Electronic Compass for Corridor Environment. Surachai 

SUKSAKULCHAI, Vanderbilt University, Nashville, Tennessee 37235, United States, 

surachai@vuse.vanderbilt.edu; Siripun Thongchai, Vanderbilt University, Electrical Engineering & 


thongcs@vuse.vanderbilt.edu; D. WILKES, Vanderbilt University, Electrical Engineering & 

Computer Science, School of Engineering, Nashville, Tennessee United States, 

wilkes@vuse.vanderbilt.edu; Kazuhiko KAWAMURA, Vanderbilt University, Electrical Engineering 

& Computer Science, School of Engineering, Nashville, Tennessee 37235, United States, 

kawamura@vuse.vanderbilt.edu..................................................................................................... 3354 

6. Nonlinear tracking control for a lightweight flexible robot. Hisseine Dadi, University of 

Bremen, Bremen, 28359, Germany, hisseine@iat.uni-bremen.de; Lohmann Boris, University of 

Bremen, Institute of Automation Technology, Bremen, Germany ...................................................3360

Organizer: Y.P.Huang 

Track 13-E 

TP-1.10: Intelligent Prediction & Control 1 


1. The fuzzy approach of distinguishing coefficient in modified grey relational grade. Kun-Li 

Wen, Chien-Kuo Institute of Technology, Electrical Engineering, Chang-Hua, 500, Taiwan, R.O.C., 

klw@cc.ckit.edu.tw; Ting-Cheng Chang, Chien-Kuo Institute of Technology, Mechanical 

Engineering, Chang-Hua, 500, Taiwan, R.O.C.; Wei-Che Chang, Kao-Yuan Institute of Technology, 

Civil Engineering, Kaohsiung, 821, Taiwan, R.O.C................................................................................* 

2. The application of the grey relation analysis on teacher appraisal. Farn-Shing Chen, National 

Chang-hua University of Education, Industrial Education, Chang-Hua, 500, Taiwan, R.O.C., 

iefchen@cc.ncue.edu.tw; Ta-Chun Chang, National Chang-hua University of Education, Industrial 

Education, Chang-Hua, 500, Taiwan, R.O.C.; Hsiu-Hsiang Liao, National Chang-hua University of 

Education, Industrial Education, Chang-Hua, 500, Taiwan, R.O.C.................................................3366 

3. AN ERROR REFERENCE PLANE OF AN ADAPTIVE CONTROLLER FOR A SCARA 

MANIPULATOR. PATTANAPONG TUNGSUBUTRA, King's Mongkut University of Technology 

Thonburi, Center of Operation for field robotics development, Bangkok, Bangkok 10140, Thailand, 

pongme@hotmail.com; DJITT LAOWATTANA, KING MONGKUT UNIVERSITY OF TECHNOLOGY 

THONBURI (CENTER OF OPERATION FOR FIELD ROBOTICS DEVELOPMENT), MECHANICAL 

ENGINEERING, BANGMOD, BANGKOK 10140, THAILAND, schitt@telecom.scb.co.th.....................3372 

4. Using Regression Trees to Learn Action Models. Natasha BALAC, Vanderbilt University, 

Nashville, TN 37212, USA, natasha@vuse.vanderbilt.edu; Daniel Gaines, Vanderbilt University, 

EECS, School of Engineering, Nashville, TN 37212, USA, gainesdm@vuse.vanderbilt.edu; Douglas 

FISHER, Vanderbilt University, Electrical Engineering & Computer Science, School of Engineering, 

Nashville, Tennessee United States, dfisher@vuse.vanderbilt.edu....................................................3378 

5. The study of missing point in GM(1,1) model. Kun-Li Wen, Chien-Kuo Institute of Technology, 

Electrical Engineering, Chang-Hua, 500, Taiwan, R.O.C., klw@cc.ckit.edu.tw; Ting-Cheng Chang, 

Chien-Kuo Institute of Technology, Mechanical Engineering, Chang-Hua, 500, Taiwan, R.O.C.; 

Wei-Che Chang, Kao-Yuan Institute of Technology, Civil Engineering, Kaohsiung, 821, Taiwan, 

R.O.C.............................................................................................................................................. 3384 

6. The selection model of pavement material via grey relational grade. Wei-Che Chang, Kao- 

Yuan Institute of Technology, Civil Engineering, Kaohsiung, 821, Taiwan, R.O.C., klw@cc.ckit.edu.tw; 

Ting-Cheng Chang, Chien-Kuo Institute of Technology, Mechanical Engineering, Chang-Hua, 500, 

Taiwan, R.O.C.; Kun-Li Wen, Chien-Kuo Institute of Technology, Electrical Engineering, Chang-Hua, 

500, Taiwan, R.O.C., klw@cc.ckit.edu.tw..........................................................................................3388

Organizer: Y.P. Huang 

Track 13-F 

TP-2.10: Intelligent Prediction & Control 2 


1. A data-driven approach for supporting extension processing. Liang-Teh Lee, 

Tatung University, Computer Science and Engineering, Taipei, 104, Taiwan, R.O.C., 

ltlee@cse.ttu.edu.tw; Ching-Ren Wei, Tatung University, Computer Science and Engineering, 

Taipei, 104, Taiwan, R.O.C............................................................................................................. 3392 

2. A linguistic computation model for fuzzy evaluation system. Hsuan-Shih Lee, National Taiwan 

Ocean University, Shipping and Transportation Management, Keelung, 202, Taiwan, R.O.C., 

hslee@axp1.stm.ntou.edu.tw; Pei-Di Shen, Ming Chuan University, Information Management, Ming 

Chuan University, Taipei, 112, Taiwan, R.O.C., pdshen@mcu.edu.tw............................................... 3396 

3. Identification of fuzzy system based on grey relation. Hsuan-Shih Lee, National Taiwan Ocean 

University, Shipping and Transportation Management, Keelung, 202, Taiwan, R.O.C., 

hslee@axp1.stm.ntou.edu.tw; Kuo-Hui Tsai, National Taiwan Ocean University, Information Science, 

Keelung, Taiwan, R.O.C.; Jin-Long Wang, Department of Computer and Communication Engineering, 

Taipei, Taiwan 1120, ROC, jlwang@mcu.edu.tw; Maw-Sheng Horng, National Taipei Teachers College, 

Department of Mathematics Education, Taipei, Taiwan 10659, ROC, horng@tea.ntptc.edu.tw ...........3400 

4. Analysis and Feedback Control of LonWorks-Based Network Systems for Automated 

Manufacturing. Byoung-Hee Kim, University of Ulsan, Control & Instrumentation Engineering, 

School of Electrical Engineering and Automation, Ulsan, 680-749, Korea, coin91@orgio.net; Kwang- 

Hyun Cho, University of Ulsan, School of Electrical Engineering and Automation, Ulsan, 680-749, 

Korea, ckh@uou.ulsan.ac.kr; Kyoung-Sup Park, University of Ulsan, School of Electrical 

Engineering and Automation, Ulsan, 680-749, Korea, parkks@uou.ulsan.ac.kr............................. 3405 

5. Using extension theory to design a fast fuzzy data processing model. Yo-Ping Huang, 

Tatung University, Computer Science and Engineering, Taipei, 10451, Taiwan, R.O.C., 

yphuang@aries.dyu.edu.tw; Hung-Jin Chen, Tatung University, Computer Science and Engineering, 

Taipei, 104, Taiwan, R.O.C., d8606001@cseserv.cse.ttu.edu.tw................................................... 3410 

6. A new fuzzy ranking method based on fuzzy preference relation. Hsuan-Shih Lee, National 

Taiwan Ocean University, Shipping and Transportation Management, Keelung, 202, Taiwan, R.O.C., 

hslee@axp1.stm.ntou.edu.tw.......................................................................................................... 3416

Chair: Stephen Shervais 

Co-Chair: Peter Goldsmith 

Track 13-G 

WA-1.10: Robotics & Control - Adaptive Control 


1. Auto-Tuning Procedure for Model-Based Predictive Controller. Wei LIU, Innovation Centre, 

National Research Council Canada, Vancouver, B.C. V6T1W5, Canada, Wei.liu@nrc.ca; George 

Wang, Innovation Centre, National Research Council Canada, Vancouver, BC V6T1W5, Canada, 

George.wang@nrc.ca ..................................................................................................................... 3421 

2. Dynamic Modeling Of Hydroturbine Generating Set. Chen Qijuan, Department of Dynamics 

Engineering, Wuhan University of Hydraulic and Electrical Engineering, Wuhan, Hubei 430072, 

People's Republic of China, qjchen@wuhee.edu.cn; Xiao Zhihuai, Department of Dynamics 

Engineering, Wuhan University of Hydraulic and Electrical Engineering, Wuhan, Hubei 430072, 

People's Republic of China ............................................................................................................. 3427 

3. Adaptive control of heterogeneous ad hoc networks. Galigekere DATTATREYA, University of 

Texas at Dallas, Computer Science, Engineering and Computer Science, Richardson, Texas 75083- 

0688, United States, datta@utdallas.edu; Sarvesh KULKARNI, University of Texas at Dallas, 

Department of Computer Science, Engineering and Computer Science, Richardson, TX 75083-0688, 

USA, kulkarni@utdallas.edu; Horacio MARTINEZ-ALFARO, IEEE - Systems, Man, and Cybernetics 

Society, Monterrey, Nuevo Leon 64849, Mexico, hma@campus.mty.itesm.mx; Rogelio SOTO, 

ITESM, Center for Artificial Intelligence, Monterrey, NL 64849, MEXICO, r.soto@ieee.org ........... 3431 

4. Decentralized adaptive predictive control of multi-reach irrigation canal. SAWADOGO 

SALAM, University of Senegal, Thiès, BP 10 Thiès, SENEGAL (West AFRICA), 

ssalam@ucad.sn; FAYE Roger, University of Dakar (Senegal), Ecole Supérieure Polytechnique, 

Thiès, BP A10, SENEGAL, rmfaye@ucad.sn; BENHAMMOU Ahmed, University of Marrakesh 

(MOROCO), Département de physique, Marrakesh, MOROCO, benhammou@ucam.ac.ma; AKOUZ 

Kouatar, University of Marrakesh, Département de physique, Marrakesh, MOROCO, 

akoutar@rocketmail.com ................................................................................................................ 3437 

5. The Equivalence of LTI Iterative Learning Control and Feedback Control. Peter GOLDSMITH, 

University of Calgary, Calgary, Alberta T2N 1N4, Canada, pgold@enme.ucalgary.ca................... 3443 

6. Improving quasi-optimal inventory and transportation policies using adaptive critic based 

approximate dynamic programming. Stephen Shervais, Eastern Washington University, College 

of Business and Public Administration, Cheney, WA 99004, USA, SShervais@mail.ewu.edu; 

Thaddeus Shannon, Portland State University, Systems Science Program, Portland, OR 97207, 

USA, tads@sysc.pdx.edu ............................................................................................................... 3449

Track 13-H 

WP-1.10: Robotics & Control - Nonlinear Systems & Control 1 


Chair: Zhen Z. Ye 

Co-Chair: Chuwang Cheng 

1. A Bound Estimation Method for Systems with Parametric Uncertainty. Tohru KAWABE, 

University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan, kawabe@is.tsukuba.ac.jp...................3455 

2. Nonlinear model predictive control utilizing a neuro-fuzzy predictor.. Jonas Waller, Dept. of 

Electrical and Electronic Systems Engineering, Kyushu University, Fukuoka, Fukuoka-ken 812-8581, 

Japan, jwaller@cig.ees.kyushu-u.ac.jp; Jinglu Hu, Department of Electrical and Electronic Systems 

Engineering, Kyushu University, Fukuoka, 812-8581, Japan, jinglu@cig.ees.kyushu-u.ac.jp; Kotaro 

Hirasawa, Department of Electrical and Electronic Systems Engineering, Kyushu University, 

Fukuoka, 812-8581, Japan, hirasawa@ees.kyushu-u.ac.jp............................................................3459 

3. Development of a decentralized robust controller for uncertain large-scale systems with 

control delays. Chuwang Cheng, Winnipeg, Manitoba R3T 5V6, Canada, chengc@cc.umanitoba.ca; 

Qiong (Christine) WU, Winnipeg, Manitoba R3T 5V6, Canada, cwu@cc.umanitoba.ca; Chung Ying 

Chan, Department of Mechanical and, Winnipeg, Manitoba R3T 5V6, Canada, 

umcha113@cc.umanitoba.ca; Sandy Thornton-Trump, Winnipeg, Manitoba R3T 5V6, Canada, 

trump@cc.umanitoba.ca ..................................................................................................................3465 

4. Modeling and Nonlinear Control of a Switched Reluctance Motor. Zhen Z. Ye, Dept. of 

Electrical Engineering, University of Arkansas, Fayetteville, Arkansas 72701, USA, 

zzye@comp.uark.edu; Terry W. Martin, Dept. of Electrical Engineering, University of Arkansas, 

Fayetteville, Arkansas 72701, USA, twm@engr.uark.edu; Juan C. Balda, Dept. of Electrical 

Engineering, University of Arkansas, Fayetteville, Arkansas 72701, USA, jcb@engr.uark.edu......... 3471 

5. Observerbased Multimodel Control. Saloua MEZGHANI, Ecole Centrale de Lille, Villeneuve 

d'Ascq, Lille 59651, France, mezghani@ec-lille.fr; Abdelkader EL KAMEL, Ecole Centrale De Lille, 

Villeneuve d'Ascq,Lille 59651, France, kamel@ec-lille.fr; Pierre BORNE, Ecole Centrale de Lille, Ecole 

Centrale de Lille, Villeneuve d'Ascq, Lille 59651, France, p.borne@ec-lille.fr .................................... 3479 

6. CONTROL OPTIMIZATION FOR HIGH PERFORMANCE SYSTEM. michel COTSAFTIS, 

LTME/ECE, 75007 Paris, France, mcot@ece.fr..............................................................................3485

Track 13-I 

WP-2.10: Robotics & Control - Nonlinear Systems & Control 2 


Chair: Mohammed Chadli 

Co-Chair: Marjan Golob 

1. Windmill power systems controller design using H-infinity control theory. Youjiang Long, 

University of the Ryukyus, Department of Electrical and Electronic Engineering, Nishihara, Okinawa 

903-0213, Japan, ryu@hawk.sys.ie.u-ryukyu.ac.jp; Hayao Miyagi, University of the Ryukyus, 

Department of Electrical and Electronic Engineering, Nishihara, Okinawa 903-0213, Japan, 

miyagi@hawk.sys.ie.u-ryukyu.ac.jp; Katsumi Yamashita, University of the Ryukyus, Department of 

Electrical and Electronic Engineering, Nishihara, Okinawa 903-0213, Japan, yamasita@eee.uryukyu.ac.jp 

.......................................................................................................................................... 3490 

2. Robust stability analysis and synthesis for delayed systems with rank-1 type uncertainties. 

Chuwang Cheng, Winnipeg, Manitoba R3T 5V6, Canada, chengc@cc.umanitoba.ca; Qiong (Christine) 

WU, Winnipeg, Manitoba R3T 5V6, Canada, cwu@cc.umanitoba.ca; Sandy Thornton-Trump, 

Winnipeg, Manitoba R3T 5V6, Canada, trump@cc.umanitoba.ca .....................................................3496 

3. Identification of Volterra kernels of non linear systems. Samira Hassouna, University of 

Poitiers, POITIERS, 86022, FRANCE, Samira@esip.univ-poitiers.fr; Patrick Coirault, University of 

Poitiers, POITIERS, 86022, FRANCE, coirault@esip.univ-poitiers.fr..............................................3502 

4. Analysis of current cycle error assisted iterative learning control for discrete nonlinear timevarying 

systems. Daoying Pi, Hangzhou, 310027, China, dy_p@yahoo.com; Dale Seborg, Santa 

Barbara, California 93106, USA; Jianxia Shou, Hangzhou, 310012, China, shoujx@263.net; 

Youxian Sun, Hangzhou, 310027, China; Qing Lin, Hangzhou, 310027, China........................... 3508 

5. Relaxed stability conditions for Takagi-Sugeno fuzzy systems. Mohammed CHADLI, Centre 

de Recherche en Automatique de Nancy, ENSEM, Vandoeuvre Les Nancy, 54516, France, 

mchadli@ensem.u-nancy.fr; Didier Maquin, Centre de Recherche en Automatique de Nancy, 

ENSEM, Vandoeuvre les Nancy, 54516, France, didier.maquin@ensem.u-nancy.fr; José Ragot, 

Centre de Recherche en Automatique de Nancy, ENSEM, Vandoeuvre les Nancy, 54516, France, 

josé.ragot@ensem.u-nancy.fr......................................................................................................... 3514 

6. Identification of Non-linear Dynamic Systems with Decomposed Fuzzy Models. Marjan 

GOLOB, University of Maribor, Institute of Automation, Maribor, 2000, Slovenia, mgolob@uni-mb.si; 

Boris TOVORNIK, University of Maribor, Institute of Automation, Maribor, 2000, SLOVENIA.......... 3520 

Chair: P. Baranyi 

Co-Chair: M.Marchesi 

Track 13-J 

TP-2.13: Control of Mobile Robots 


1. A novel behavior fusion method for the navigation of mobile robots. Cang Ye, 639798, 

Singapore, ecye@ntu.edu.sg; Danwei WANG, 639798, Singapore, edwwang@ntu.edu.sg ......... 3526

2. Sonar Behavior-Based Fuzzy Control for a Mobile Robot. S. Thongchai, Vanderbilt University, 

Electrical Engineering and Computer Science, School of Engineering, Nashville, TN 37235, USA, 

thongcs@vuse.vanderbilt.edu; S. Suksakulchai, Vanderbilt University, Electrical Engineering and 

Computer Science, School of Engineering, Nashville, TN 37235, USA, surachai@vuse.vanderbilt.edu; D. 


Nashville, Tennessee United States, wilkes@vuse.vanderbilt.edu; N. SARKAR, Vanderbilt University, 

Nashville, Tennessee 37212, United States, nilanjan.sarkar@vanderbilt.edu .................................3532 

3. Neuro-fuzzy based Vector field model: A unified representation for mobile robot guiding 

styles. Istvan Nagy, Technical University of Budapest, Telecommunications and Telematics, Budapest, 

1111, Hungary, inagy@ttt.bme.hu; Wai Keung Fung, IEEE - Systems, Man, and Cybernetics Society, 

Hong Kong, P. R. China, wkfung@mae.cuhk.edu.hk; Peter Baranyi, Technical University of Budapest, 

Telecommunications and Telematics, BUDAPEST, 1111, Hungary, baranyi@ttt-202.ttt.bme.hu .........3538 

4. Wavelet Neural Networks based Predictive Control for Mobile Robots. Dongbing GU, 

Unversity of Essex, Computer Science, Colchster, CO4 3SQ, UK, dgu@essex.ac.uk; Huosheng Hu, 

University of Essex, Computer Science, Colchester, CO4 3SQ, UK, hhu@essex.ac.uk ................ 3544 

5. Coordinated Control for Free-flyer Space Robots. Massimiliano MARCHESI, CISAS G. 

Colombo, PADOVA, PADOVA I-35131, ITALIA, marchesi@dim.unipd.it; Francesco ANGRILLI, 

CISAS "G. colombo", PADOVA, ITALY I-35131, ITALY, angrilli@dim.unipd.it ............................... 3550 

6. Fuzzy-Rough Nearest Neighbors Algorithm. Manish SARKAR, National University of 

Singapore, Computing, Singapore, 119260, Singapore, manish_sarkar@hotmail.com .................3556 

7. Using one bit wave memory for mobile robots’ new sonar-ring sensors, Teruko YATA, The 

Robotics Institiute Carnegie Mellon Univeristy, Pittsburg, PA 15213 USA, Akihisa OHYA, Shin’ichi YUTA, 

Intelligent Robot Laboratory, University of Tsukba, Tsukuba 305-8573 Japan.......................................3562 

Organizer: Seppo Ovaska 

Track 14-A 

MA-1.2: Fusion of Soft Computing & Hard Computing 

Room: Tulip Grove F Time: 8:00AM - 10:00AM 

1. Control of multi-agent systems using adaptive fuzzy inference with genetic algorithm. 

Noriaki Sasaki, Muroran Institute of Technology, Department of Computer Science and Systems 

Engineering, Muroran, Japan; Takao Nakane, Muroran Institute of Technology, Department of 

Computer Science and Systems Engineering, Muroran, Japan; Yuji Tamai, Muroran Institute of 

Technology, Department of Computer Science and Systems Engineering, Muroran, Japan; Yasuhiko 

DOTE, Muroran Institute of Technology, Muroran, 050-8585, Japan, dote@csse.muroran-it.ac.jp; 

Seppo Ovaska, Helsinki University of Technology, Department of Electrical and Communications 

Engineering, Espoo, FIN-02150, Finland, seppo.ovaska@hut.fi..................................................... 3568 

2. Forecasting time series using logical combinations of neural-based networks. Arit 

THAMMANO, King Mongkutis Institute of Technology Ladkrabang, Bangkok, 10520, Thailand, 

arit@it.kmitl.ac.th ............................................................................................................................ 3573

3. Traffic signal controller based on fuzzy logic. Jarkko NIITTYMAKI, Helsinki University of 

Technology, HUT, FIN-02015, Finland, jarkko.niittymaki@hut.fi; Ville Kononen, Helsinki University of 

Technology, Laboratory of Transportation Engineering, Espoo, Finland ........................................3578 

4. Staged neural networks for text-to-speech phoneme recognition. Fabio Arciniegas, 

Rensselaer Polytechnic Institute, Department of Decision Sciences and Engineering Systems, Troy, 

New York USA; Mark EMBRECHTS, Rensselaer Polytechnic Institute, Troy, New York 12065, USA, 

embrem@rpi.edu ............................................................................................................................ 3582 

5. On Evaluation of Clustering using Homogeneity Analysis. Mika Sato-Ilic, University of 

Tsukuba, Inst. of Policy and Planning Sciences, Tsukuba, Japan, mika@sk.tsukuba.ac.jp ........... 3588 

6. Construction of a dialog system with emotions for elderly persons by neural networks. 

Kazuya Mera, Hiroshima City University, Faculty of Information Sciences, Hiroshima, 7313194, 

Japan, mera@nlp.its.hiroshima-cu.ac.jp; Takumi ICHIMURA, Hiroshima City University, Hiroshima, 

731-3194, Japan, ichimura@chi.its.hiroshima-cu.ac.jp; Toshiyuki Yamashita, Tokyo Metropolitan 

Institute of Technology, Faculty of Engineering, Tokyo, Japan.......................................................3594 

Organizer: Shyue-Liang Wang 

Track 14-B 

MP-1.2: Applications of Soft Computing 

Room: Tulip Grove F Time: 1:00PM - 3:00PM 

1. Mining Fuzzy Functional Dependencies from Quantitative Data. SHYUE-LIANG WANG, IEEE 

- Systems, Man, and Cybernetics Society, Taiwan 84008, R.O.C., slwang@isu.edu.tw; Ju-Wen 

Shen, I-Shou University, Information Management, Taiwan 84008, ROC, m883332m@isu.edu.tw; 

Tzung-Pei HONG, IEEE - Systems, Man, and Cybernetics Society, Kaohsiung County, Taiwan 

84008, R.O.C., tphong@csa500.isu.edu.tw....................................................................................3600 

2. Efficient Mining of Categorized Association Rules in Large Databases. Shin-Mu Tseng, 

National Cheng Kung University, Computer Science and Information Engineering, Tainan, Taiwan 

ROC, tsengsm@mail.ncku.edu.tw ..................................................................................................3606 

3. An Improved Hybrid Clustering Algorithm for Structure Identification of Neuro-Fuzzy 

Modeling. Chen-Sen Ouyang, Electrical Engineering, National Sun Yat-Sen University, Taiwan 

ROC, ouyang@water.ee.nsysu.edu.tw; Shie-Jue Lee, Electrical Engineering, National Sun Yat-Sen 

University, Taiwan ROC.................................................................................................................. 3611 

4. A Fuzzy Self-Organizing Map Neural Network for Market Segmentation of Credit Card. 

Sheng-Chai CHI, IEEE - Systems, Man, and Cybernetics Society, Kaohsiung County, 84008, 

Taiwan, scchi@isu.edu.tw; Ren-Jien Kuo, Industrial Engineering, National Taipei University of 

Technology, Taiwan ROC; Bor-Wen Den, Industrial Engineering and Management, I-Shou 

University, Taiwan ROC.................................................................................................................. 3617 

5. A Self-Constructed Radial Basis Function Neural Network and its Applications. Chun-Liang 

Hou, Electrical Engineering, National Sun Yat-Sen University, Taiwan ROC, 

hjl@water.ee.nsysu.edu.tw; Shie-Jue Lee, Electrical Engineering, National Sun Yat-Sen University, 

Taiwan ROC ................................................................................................................................... 3623

6. A New Fuzzy PID-Like Controller. Rey-Chue Hwang, Electrical Engineering, I-Shou University, 

Taiwan ROC, rchwang@csa500.isu.edu.tw; Wei-Shen Chi, Electrical Engineering,I-Shou University, 

Taiwan ROC ................................................................................................................................... 3629 

Chair: Mihaela Ulieru 

Co-Chair: Fiona Palmer 

Track 14-C 

MP-2.2: Computation Cybernetics - Soft Computing 


1. Model theory for fuzzy logic in the foundations of soft computing. Radim BELOHLAVEK, 

University of Ostrava, Inst. Res. Appl. Fuzzy Modeling, Ostrava, CZ-701 03, Czech Republic, 

radim.belohlavek@vsb.cz.................................................................................................................... 3635 

2. Application of soft computing methods to the diagnosis and prediction of glaucoma.. 

Mihaela Ulieru, College of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada, 

ulieru@enme.ucalgary.ca; Oscar Cuzzani, College of Medicine, University of Calgary, Calgary, Alberta 

T2N 1N4, Canada; Stuart Rubin, Space and Naval Warfare Systems Center, San Diego, Intelligence, 

Surveillance and Reconnaissance Department, San Diego, CA 92152-5001, USA, 

srubin@spawar.navy.mil; Marion CERUTI, Space and Naval Warfare Systems Center, 

San Diego, Command and Control Department, San Diego, California 92152-5001, USA, 

ceruti@spawar.navy.mil.................................................................................................................. 3641 

3. Exploring Dynamic Bayesian Belief Networks for Intelligent Fault Management Systems. 

Roy STERRITT, University of Ulster, Newtownabbey, County Antrim BT37 0QB, Northern Ireland, 

r.sterritt@ulst.ac.uk; Adele Marshall, University of Ulster, School of Information and Software 

Engineering, Newtownabbey, County Antrim BT37 0QB, Northern Ireland, ah.marshall@ulst.ac.uk; 

Catheraine Shapcott, University of Ulster, Faculty of Informatics, School of Information and Software 

Engineering, Newtownabbey, County Antrim BT37 0QB, Northern Ireland, cm.shapcott@ulst.ac.uk; 

Sally MCCLEAN, University of Ulster, School of Information and Software Engineering (Coleraine), 

Coleraine, County Londonderry BT52 1SA, United Kingdom..........................................................3646 

4. Fuzzy information processing with neural network. Xiao-Zhi Gao, Institute of Intelligent Power 

Electronics, Department of Electrical and Communications Engineering, Helsinki University of 

Technology, Espoo, 02150, Finland, gao@csc.fi; Seppo Ovaska, Institute of Intelligent Power 

Electronics, Department of Electrical and Communications Engineering, Helsinki University of 

Technology, Espoo, 02150, Finland, Seppo.Ovaska@hut.fi............................................................... 3653 

5. USING fuzzy integral to modeling case-based reasoning with feature interaction. Xi-Zhao 

WANG, Hong Kong Polytechnic University, Hong Kong, P. R. China, csxzwang@comp.polyu.edu.hk; 

Daniel So Yeung, Hong Kong Polytechnic University, Computing, Hong Kong, China, 

csdaniel@comp.polyu.edu.hk.............................................................................................................. 3660

Track 14-D 

TA-1.2: Computational Cybernetics - Soft Computing & Genetic Algorithms 


Chair: Yasue Mitsukura 

Co-Chair: Wail Gueaieb 

1. An intelligent robotic framework for automated assembly. Henry Lau, The University of Hong 

Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong, China, 

hyklau@hkucc.hku.hk; K.L. Mak, The Department of Industrial and Manufacturing Systems 

Engineering, The University of Hong Kong, Hong Kong, China; Michael NGAN, The University of 

Hong Kong, Hong Kong, China, h9500624@hkusua.hku.hk ..........................................................3666 

2. Adaptive Genetic Algorithm for On-ramp Traffic Control. Ayako Hiramatsu, Osaka Sangyou 

University, Information Systems Engineering, Daito, Osaka 574-8530, Japan, ayako@ise.osakasandai.ac.jp; 

Kazuo Nose, Osaka Sangyou University, Information Systems Engineering, Daito, 

Osaka 574-8520, Japan, nose@ise.osaka-sandai.ac.jp; Hiroshi Shimoura, Sumitomo Electric 

Industries, Ltd., Osaka, Osaka 554-0024, Japan, shimoura@vse.sei.co.jp; Kenji Tenmoku, 

Sumitomo Electric Industries, Ltd., Osaka, Osaka 554-0024, Japan, tenmoku@vse.sei.co.jp ....... 3672 

3. A Design of Genetic Fog Occurrence Forecasting System by Using LVQ Network. Yasue 

MITSUKURA, University of Tokushima, Department of Information Science & Intelligent Systems,, 

Faculty of Engineering, TOKSHIMA, TOKUSHIMA 770-8506, JAPAN, mitsu@is.tokushima-u.ac.jp; 

Minoru Fukumi, University of Tokushima, Department of Information Science & Intelligent Systems, 

Tokushima, Tokushima 770-8506, Japan, fukumi@is.tokushima-u.ac.jp; Norio Akamatsu, University 

of Tokushima, Department of Information Science & Intelligent Systems, Tokushima, Tokushima 770- 

8506, Japan, mitsu@is.tokushima-u.ac.jp ......................................................................................3678 

4. Evolutionary Fuzzy ARTMAP for autoregressive model order selection and classification of 

EEG signals. Palaniappan Ramaswamy, University of Malaya, Dept. of Electrical and 

Telecommunication, Kuala Lumpur, 50603, Malaysia, senthi@tm.net.my; Raveendran 

PARAMESRAN, University of Malaya, Kuala Lumpur, 50603, Malaysia, ravee@fk.um.edu.my; 

Shogo Nishida, Osaka University, Dept. of System Engineering, Osaka, 560, Japan; Naoki Saiwaki, 

Osaka University, Dept. of System Engineering, Osaka, 560, Japan .............................................3682 

5. Computational Intelligence Based Approach for the Joint Trajectory Generation of 

Cooperative Robotic Systems. Wail Gueaieb, University of Waterloo, Department of Systems 

Design Engineering, Waterloo, Ontario N2L 3G1, Canada, wail@watfor.uwaterloo.ca; Fakhreddine 

Karray, University of Waterloo, Department of Systems Design Engineering, Waterloo, ON N2L 3G1, 

Canada, karray@watfor.uwaterloo.ca; Salah Al-Sharhan, University of Waterloo, Department of 

Systems Design Engineering, Waterloo, ON N2L 3G1, Canada, salah@watfor.uwaterloo.ca ....... 3687 

6. USING a neuro-fuzzy technique to improve the clustering based on similarity. Daniel So 

Yeung, Hong Kong Polytechnic University, Computing, Hong Kong, China, 

csdaniel@comp.polyu.edu.hk; Xi-Zhao WANG, Hong Kong Polytechnic University, Hong Kong, P. R. 

China, csxzwang@comp.polyu.edu.hk ...........................................................................................3693 

7. Feedbak Model Inspired by Biological Development to Hierarchically Design Complex 

Sturcture. Kei OHNISHI* and Hideyuki TAKAGI** Kyushu Institute of Design: *Graduate School, 

**Dept. of Art & Information Design, 4-9-1, Shiobaru, Minami-ku, Funkuoka 815-8540, Japan. ..... 3699

Track 14-E 

TP-1.2: Systems Modeling & Control - Fuzzy Logic Control 1 


Chair: Thomas Sudkamp 

Co-Chair: Farrokh Janabi-Sharifi 

1. System with hybrid fuzzy-conventional PID controller. Bohdan BUTKIEWICZ S., Warsaw 

University of Technology, Warsaw, Warsaw 00-665 Wars, Poland, bb@ise.pw.edu.pl.................. 3705 

2. High speed multistage fuzzy hardware architecture for fuzzy logic control. Hung-Pin CHEN, 

Chung Kuo Institute of Technology and Commerce, Department of Management Information 

Systems, Taipei,, Taiwan 117, R. O. C., hpchen@ms3.hinet.net; Chiung-San Lee, National Taipei 

College of Nursing, Computer Center, Taipei, Taiwan 112, R. O. C., csl@ntcn.ntcn.edu.tw .......... 3710 

3. A Greedy Approach to Rule Reduction in Fuzzy Models. Thomas SUDKAMP, Wright State 

University, Dayton, OH 45435-0001, USA, tsudkamp@cs.wright.edu; Aaron Knapp, Wright State 

University, Computer Science, Dayton, OH 43453, USA; Jon Knapp, Wright State University, 

Computer Science, Dayton, OH 43435, USA..................................................................................3716 

4. A learning fuzzy system for looper control in rolling mills. Farrokh JANABI-SHARIFI, 

Department of Mechanical Engineering, Toronto, ON M2M 4K8, Canada, 

fsharifi@acs.ryerson.ca .................................................................................................................. 3722 

5. Simplifying Fuzzy Rule Base of Multiple Input Multiple Output System by Constructing 

Multi-Layer Fuzzy Controller. Mohammad ROHMANUDDIN, Bandung Institute of Technology, 

Bandung, West Java 40132, Indonesia, rohman@tf.itb.ac.id; Houw Liong The, Bandung Institute of 

Technology, Physics, Faculty of Mathematics and Natural Sciences, Bandung, West Java 40132, 

Indonesia; Adang S. Ahmad, Bandung Institut of Technology, Electrical Engineering, Faculty of 

Industrial Technology, Bandung, West Java 40132, Indonesia; Yul Y. Nazaruddin, Bandung 

Institute of Technology, Engineering Physics, Faculty of Industrial Technology, Bandung, 

West Java Indonesia....................................................................................................................... 3728 

6. Neuro-fuzzy approach for modeling complex functional mappings. Werner BROCKMANN, 

Medical University of Luebeck, Institute of Computer Engineering, Luebeck, D-23538, Germany, 

brockman@iti.mu-luebeck.de; Olaf Huwendiek, ZF, Friedrichshafen, D-88045, Germany..................3734 

Track 14-F 

TP-2.2: Systems Modeling & Control - Fuzzy Logic Control 2 


Chair: Paulo Salado 

Co-Chair: Mehmet Onder Efe 

1. Monotone Fuzzy Control Method and Its Control Performance. Hailiang Zhao, Southwest 

Jiaotong University, Intelligent Control Development Center, Chengdu, Sichuan 610031, P.R.China, 

hailiang@sc.homeway.com.cn........................................................................................................ 3740

2. Establishment of a Sliding Mode in a Nonlinear System by Tuning the Parameters of a Fuzzy 

Controller. Mehmet Onder EFE, Bogazici University, Istanbul, 80815, TURKEY, 

efemond@boun.edu.tr; Okyay Kaynak, Bogazici University, Electrical and Electronic Eng. Dept., Bebek 

Istanbul, 80815, TURKEY, kaynak@boun.edu.tr.....................................................................................3746 

3. Fuzzy QoS Management in Differentiated Services Networks. Runtong ZHANG, Nokia (China) 

R&D Center, Beijing, 100013, PR China, runtong.zhang@nokia.com; Jian Ma, Nokia (China) R&D 

Center, Advanced Internet Technologies, Beijing, 100013, PR China ............................................3752 

4. Game Strategy Based on Fuzzy Logic. Qingchun MENG, Ocean University of Qingdao, 

Qingdao, Shandong 266003, China, mengqc@ouqd.edu.cn; Yulin Wang, Ocean Univ. Of Qingdao, 

Elc. Dept., Information technology, Qingdao, Shandong 266003, China, No; Jianshe Xiong, Ocean 

Univ. Of Qingdao, Elc. Dept., Information technology, Qingdao, Shandong 266003, China, 

xiongjs@ouqd.edu.cn ..................................................................................................................... 3758 

5. Using OGA in Fuzzy Based System Modeling. Navid Seifipour, Amirkabir University, Tehran, 

15914, Iran, menhaj@cic.aku.ac.ir; Mohammad Menhaj, Amirkabir University of Technology, Control, 

Electrical Engineering, Tehran, 15914, Iran, menhaj@cic.aku.ac.ir ................................................... 3764 

6. Relevance as a New Measure of Relative Importance of Sets of Rules. Paulo Salgado, UTAD 

University, Engenharias, Vila Real, 5000, Portugal, psal@utad.pt; Pedro Pinto, UTAD University, 

Engenharias, Vila Real, 5000, Portugal, pmelo@utad.pt; Bulas Cruz, UTAD University, Engenharias, 

Vila Real, 5000, Portugal, jcruz@utad.pt; Carlos Couto Prof., University of Minho, Dpt. Industrial 

Electronics, Guimaraes, Portugal, ccouto@dei.uminho.pt ..............................................................3770 

Track 14-G 

WA-1.2: Systems Modeling & Control - Fuzzy Logic Control 3 


Chair: Feijun Song 

Co-Chair: Jitendriya K. Satapathy 

1. Extracting Fuzzy Sparse Rules By Cartesian Representation And Clustering. Yeung YAM, 

Hong Kong, China, yyam@mae.cuhk.edu.hk; Vladik Kreinovich, El Paso, Texas 79968, USA, 

vladik@cs.utep.edu; Hung T. Nguyen, Las Cruces, NM 88003, USA, hunguyen@nmsu.edu ......... 3778 

2. A New Approach in Model Selection Using Fuzzy Decision Making. hamed SHAKOURI 

GANJAVI, AmirKabir University of Tech., Tehran, Tehran 15914, Iran, shakouri@ieee.org .......... 3784 

3. Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a dc 

drive system. Jitendriya K SATAPATHY, Rourkela, Orissa 769008, India, jkse@rec.ori.nic.in; 

Susmita DAS, Rourkela, Orissa 769008, India, susmita@rec.ori.nic.in; Chris J HARRIS, 

Southampton, SO17 1BJ, UK, cjh@ecs.soton.ac.uk; Pradeep MISRA, Wright State University, 

Electrical Engineering, Dayton, Ohio 45435, United States, pmisra@cs.wright.edu.......................3790 

4. A simple weight based fuzzy logic controller rule base reduction method. Feijun SONG, 

Florida Atlantic University, Ocean Engineering Department, Dania, FL 33004, USA, 

fsong@oe.fau.edu; Samuel M. smith, Florida Atlantic University, Ocean Engineering Department, 

Dania, FL 33004, USA, smith@oe.fau.edu .....................................................................................3794

5. A Takagi-Sugeno type fuzzy logic controller with only 3 rules for a 4 dimensional inverted 

pendulum system. Feijun SONG, Florida Atlantic University, Dania, FL 33004, USA, 

fsong@oe.fau.edu; Samuel Smith, Florida Atlantic University, Ocean Engineering Department, 

Dania, FL 33004, USA, smith@oe.fau.edu .....................................................................................3800 

6. Development of an Adaptive Neuro-Fuzzy Method for Supply Air Pressure Control in HVAC 

System. Jian Wu, Division of Control and instrumentation, School of EEE, Nanyang Technological 

University (Singapore), Singapore, 639798, Singapore, p147786296@ntu.edu.sg; Wenjian Cai, 

Division of Control and Instrumentation, School of EEE, Nanyang Technological University 

(Singapore), 639798, Singapore, ewjcai@ntu.edu.sg.....................................................................3806 

Chair: Malcom Heywood 

Co-Chair: R. Alan Peters II 

Track 14-H 

WP-1.2: Computational Cybernetics - Genetic Algorithms 1 


1. An Experimental study of benchmarking functions for Genetic Algorithms. Jason Digalakis, 

University of Macedonia, Department of Applied Informatics, Thessaloniki, 54046, Greece, 

jason@uom.gr; Konstantinos Margaritis, University of Macedonia, Department of Applied 

Informatics, Thessaloniki, 54046, Greece, kmarg@uom.gr ............................................................3810 

2. Improved Distributed Genetic Algorithm with Cooperative-Competitive Genetic Operators. 

Hernan AGUIRRE, Shinshu University, Faculty of Engineering, Nagano, Nagano 380-8553, Japan, 

ahernan@gipwc.shinshu-u.ac.jp; Kiyoshi TANAKA, Shinshu University, Faculty of Engineering, 

Nagano, Nagano 380-8553, Japan; Tatsuo SUGIMURA, Shinshu University, Faculty of Engineering, 

Nagano, Nagano 380-8553, Japan; Shinjiro OSHITA, Shinshu University, Faculty of Engineering, 

Nagano, Nagano 380-8553, Japan ..................................................................................................... 3816 

3. Page based linear Genetic Programming. Malcolm HEYWOOD, Dokuz Eylul University, Bornova, 

Izmir 35100, Turkey, mheywood@cs.deu.edu.tr; Nur Zincir-Heywood, Dokuz Eylul University, Dept. 

Computer Science, Bornova, Izmir 35100, Turkey, nur@cs.deu.edu.tr ..................................................3823 

4. Genetic Network Programming - Application to Intelligent Agents -. Hironobu KATAGIRI, 

Kyushu University, Fukuoka, Fukuoka 812-8581, Japan, hiropon@terra.ees.kyushu-u.ac.jp ........... 3829 

5. Behavior Evolution of Autonomous Mobile Robot using Genetic Programming based on 

Evolvable Hardware. Dong-Wook Lee, Chung-Ang-University, School of Electrical and Electronic 

Engineering, Seoul, 156-756, Korea, dwlee@ms.cau.ac.kr; Chang-Bong Ban, Chung-Ang 

University, School of Electrical and Electronic Engineering, Seoul, 156-756, Korea, 

bongsimi@alife.cau.ac.kr; Ho-Sik Seok, Seoul National University, Dept. of Computer Engineering, 

Seoul, 151-742, Korea; Kwang-Ju Lee, Seoul National University, Dept. of Computer Engineering, 

Seoul, 151-742, Korea; Byoung-Tak Zhang, Seoul National University, Dept. of Computer 

Engineering, Seoul, 151-742, Korea; Kwee-Bo Sim, Chung-Ang University, Seoul, 156-756, Korea, 

kbsim@cau.ac.kr ............................................................................................................................ 3835

6. A development environment for evolutionary robotics. Joseph DRISCOLL, Vanderbilt 

University, Selmer, TN 38375, USA, driscoll85@hotmail.com; Richard PETERS II, Vanderbilt University, 

Electrical Engineering & Computer Science, School of Engineering, Nashville, Tennessee 37235, United 

States, rap2@vuse.vanderbilt.edu ............................................................................................................3841 

Track 14-I 

WP-2.2: Computational Cybernetics - Genetic Alogrithms 2 


Chair: T-P Hong 

Co-Chair: Antonio Berlanga 

1. Coevolutive adaptation of fitness landscape for solving the testing problem. Antonio 

BERLANGA, Universidad Carlos III de Madrid, Leganes, Madrid 28911, Spain, aberlan@ia.uc3m.es; 

Pedro Isasi, Universidad Carlos III de Madrid, Computer Science, Leganes, Madrid 28911, Spain, 

isasi@ia.uc3m.es; Araceli Sanchis, Universidad Carlos III de Madrid, Computer Science, Leganes, 

Madrid 28911, Spain, masm@inf.uc3m.es; Jose Molina, Universidad Carlos III de Madrid, Computer 

Science, Leganes, Madrid 28911, Spain, jmolina@ia.uc3m.es.......................................................... 3846 

2. Multi-objective Optimization with Improved Genetic Algorithm. Hiroyuki ISHIBASHI, 

Shinshu University, Faculty of Engineering, Nagano, Nagano 380-8553, Japan, isibasi@sugi.shinshuu.ac.jp; 

Hernan AGUIRRE, Shinshu University, Faculty of Engineering, Nagano, Nagano 380-8553, 

Japan; Kiyoshi TANAKA, Shinshu University, Faculty of Engineering, Nagano, Nagano 380-8553, 

Japan; Tatsuo SUGIMURA, Shinshu University, Faculty of Engineering, Nagano, Nagano 380-8553, 

Japan..........................................................................................................................................................3852 

3. A Genetic Search Method for Multi-Player Game Playing. Tzung-Pei HONG, I-Shou University, 

Kaohsiung County, Taiwan 84008, R.O.C., tphong@csa500.isu.edu.tw; Ke-Yuan Huang, Information 

Management, I-Shou University, Kaohsiung County, Taiwan 84008, R.O.C.; Wen-Yang Lin, 

Information Management, I-Shou University, Kaousiung County, Taiwan 84008, R.O.C. .............. 3858 

4. DNA Genetic Algorithm for Design of the Generalized Membership-Type Takagi-Sugeno 

Fuzzy Control System. Yongsheng DING, Dong Hua University, Department of Automation, 

College of Information Sciences and Technology, Shanghai, Shanghai 200051, P. R. China, 

ysding@dhu.edu.cn; Lihong Ren, Dong Hua University, Department of Automation, Shanghai, 

Shanghai 200051, P. R. China........................................................................................................ 3862 

5. Document Categorization by Genetic Algorithms. Chih-Hung Liu, Department of MIS, National 

Pingtung Univ. of Sci. and Tech., Pingtung, Taiwan, m8856001@mail.npust.edu.tw; Jeng-Jer Lu, 

Department of MIS, National Pingtung Univ. of Sci. and Tech., Pingtung, Taiwan, 

m8856014@mail.npust.edu.tw; Wei-Po Lee, Department of MIS, National Pingtung U. of Sci. and 

Tech., Pingtung, Taiwan, wplee@mail.npust.edu.tw........................................................................... 3868 

6. The Driven Genetic Selection Mechanism. Yongchuan Tang, Southwest Jiaotong University, 

Dept. of Appl. Math., Chengdu, Sichuan Province 610031, China, yongchuan@263.net; 

Tianmin Huang, Dept. of Appl. Math., Chengdu, Sichuan Province 610031, China, 

yongchuan@263.net....................................................................................................................... 3873

7. Function Analysis Method of Human’s Motion Control System. Hiroaki KAWAMOTO. Sankai 

Lab, Doctoral Program in Engineering, University of Tsukuba. Yoshiyuki SANKAI, Institute of 

Engineering Mechanics and Systems University of Tsukuba, Tsukuba, 305-8573, Japan. ............ 3877 

8. Modeling FMS through PN: the modular structural systhesis D. Giglio and R. Minciadi, 

DIST- University of Genova, Via Opera Pia 13, Genova, 16145- Italy............................................3883

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