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Applications - Network and Systems Lab

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IPSN 2013 Ph.D. Forum<br />

Modeling of Application Logic<br />

• In the heritage building monitoring application…<br />

• Sensor data: acceleration, deformation, temperature, humidity<br />

• Processing: a Bayesian algorithm<br />

Dataflow-level Model<br />

: DataSink<br />

: FusionPoint<br />

function = DeseaseDetection<br />

inputDataTypes = {ACCELERATION, DEFORMATION, TEMPERATURE, HUMIDITY}<br />

outputDataType = StracturalCondition<br />

: DataSource<br />

dataType = ACCELERATION<br />

samplingCondition = 0.005 sec<br />

transmissionCondition = 30 sec<br />

location = WHOLE<br />

: TemporalAggregationPoinnt<br />

function = AVERAGE<br />

inputDataType = DEFORMATION<br />

timeWindow = 100 min<br />

duration = 10 min<br />

: DataSource<br />

dataType = TEMPERATURE<br />

samplingCondition = 10 min<br />

transmissionCondition = 10 min<br />

location = WHOLE<br />

: DataSource<br />

dataType = HUMIDITY<br />

samplingCondition = 10 min<br />

transmissionCondition = 10 min<br />

location = WHOLE<br />

: DataSource<br />

dataType = DEFORMATION<br />

samplingCondition = 10 min<br />

transmissionCondition = 10 min<br />

location = WHOLE<br />

We could model five application<br />

logics with DataflowML<br />

15

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