23.11.2012 Views

Arts - Buffalo State College

Arts - Buffalo State College

Arts - Buffalo State College

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

spending to stay within the budget. Using linear programming, it is<br />

possible to construct a mathematical model that will minimize the<br />

cost of all the components needed to make a series of meal plans for<br />

a given day, as well as maintain the required nutrition guidelines. We<br />

anticipate that this model could potentially be used to help schools<br />

better plan their meals to satisfy budget constraints in the future.<br />

Presentation Type and Session: Oral – Science, Mathematics<br />

and Technology<br />

Optimizing Check Digit Systems<br />

Joshua Terhaar, HON 400: All <strong>College</strong> Honors Program<br />

Faculty Mentors: Professor Andrea Guiati, Director, All <strong>College</strong><br />

Honors Program and Professor Peter Mercer, Mathematics<br />

The check digit system that UPC uses involves taking the modulo<br />

of a series derived from the digits themselves. While this system can<br />

detect some errors, it isn’t perfect. For instance, the transposition<br />

error from 0-50000-30042-6 to 0-05000-30042-6 would not<br />

be caught since both strings satisfy the check digit calculation.<br />

Creating a check digit system involves a trade-off between efficiency<br />

and the scope of errors detected. There are two types of errors<br />

considered in this analysis. A substitution error occurs when one<br />

digit is entered wrong. A transposition error swaps two digits. A<br />

good check digit system should try to eliminate both errors with<br />

relatively few operations. I will explain the mathematics behind<br />

check digit efficiency and error correction and examine alternative<br />

mathematical approaches (i.e. Gumm’s group theoretical method<br />

using the D-5 group) and summarize their costs and benefits.<br />

Coding the check digit error detection systems in C++ will aid me<br />

in assessing their complexity and speed. Using probability I will be<br />

able to assess the scope and pitfalls of their error detection. Upon<br />

completion I should be able to provide an analysis of optimal routes<br />

for check digit error detection.<br />

Presentation Type and Session: Poster VIII<br />

Petrographic Analysis of the “Log-Jam”<br />

Schist, Connecticut<br />

Kelsey Murphy, Geology<br />

Faculty Mentor: Professor Gary Solar, Earth Sciences and Science<br />

Education<br />

Western Connecticut’s “log-jam” schist is a unique rock<br />

unit of the Rowe schist. It is dominantly a granitic gneiss after<br />

metamorphism from a granitic protolith. The unit is famous by<br />

its very large crystals of the metamorphic mineral kyanite that are<br />

observed up to 1 meter in length. Surrounding matrix rock minerals<br />

include quartz, feldspars, chlorite and biotite micas, amphiboles,<br />

and sillimanite. The kyanite crystals are “porphyroblasts” because<br />

they are much larger relative to the matrix. They are the usual focus<br />

of study prior to the work done by students in our lab (starting<br />

in 2001). Studies of the matrix minerals and textures before then<br />

did not exist, so matrix mineral textures were not documented.<br />

Physical Geography, Sciences, and Mathematics<br />

My study builds on the work of 3 previous undergraduate student<br />

projects from our lab. The rock samples studied were collected<br />

previously, and prepared for microscopy. I studied 16 thin sections<br />

cut from these specimens because although they were analyzed<br />

for mineral composition, they have not been described at depth<br />

for mineral patterns between the kyanite and the matrix (the<br />

“fabric”). In my work, I documented grain size, arrangement of<br />

grains (texture), orientation of grains, grain boundary geometry,<br />

evidence of retrograde mineral growth (at lower temperature), and<br />

mineral defects (such as crytallographic folds). Using these detailed<br />

descriptions, we learn more about geologic history such as the<br />

pressure-temperature range in which the rock was formed and its<br />

tectonic history. Results show foliation patterns throughout the thin<br />

sections defined by the mineral muscovite. Kyanite porphyroblasts,<br />

cleavage and fracturing are all oriented similarly, and there is<br />

evidence of retrograded staurolite to biotite in most slides. Many<br />

biotite crystals are partly altered to chlorite (further retrogradation).<br />

The matrix is seen to drape around larger minerals. Overgrowth of<br />

quartz and micas are common, and quartz and amphibole crystals<br />

are typically undulose extinct indicating high-temperature strain<br />

after metamorphism.<br />

Presentation Type and Session: Poster VIII<br />

Preliminary Findings On the Correlation of<br />

Volcanic Ash, Santa Ana Volcano,<br />

El Salvador<br />

Mark Tate, Earth Sciences<br />

Faculty Mentor: Professor Bettina Martinez-Hackert, Earth<br />

Sciences and Science Education<br />

Recently, volcanic ash samples representing historical eruptions<br />

(that potentially represent the last 500 years) were collected and<br />

analyzed for their grain morphology, geochemistry, grain size and<br />

location within the stratigraphic column. This project focuses on the<br />

preliminary findings from field work conducted in March 2012 to<br />

find equivalent layers at other locations of the volcano and to trace<br />

and map their distribution and thickness. This project focuses on<br />

the already described layers (most recent four eruptions) to identify<br />

other potential field locations by using the now known characteristics<br />

of these eruptive products. Correlation of these volcanic deposits<br />

across the Santa Ana volcano is imperative to produce isopach<br />

maps (maps which describe variations in layer thicknesses) of ash<br />

distributions. These maps tell us much about paleowind directions<br />

and eruptions on the flanks of the volcano (lateral blasts). Samples<br />

from the new field locations will be analyzed for identity and<br />

compared to already analyzed ones. Identifying, tracing, and<br />

understanding these layers will give insight to the changes the<br />

volcano underwent throughout recent history, and allow us to better<br />

determine the future of the volcano’s dangers.<br />

Presentation Type and Session: Poster VIII<br />

101

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!