Mining Aircraft Telemetry Data with Evolutionary Algorithms

Name: Mining Aircraft Telemetry Data with Evolutionary Algorithms
Brand: Scholars' Press
SKU: 9783639518245
Price: 1571 CZK
Availability: InStock

Autor: Kirk Ogaard

Jazyk:

Vazba: Brožovaná

Vydavatel: Scholars' Press

Dostupnost: Skladem u dodavatele

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The Ganged Phased Array Radar Risk Mitigation System (GPAR-RMS) was a mobile ground-based sense-and-...

Informace o knize

Autor

Kirk Ogaard

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

152

EAN

9783639518245

ISBN

3639518241

Enbook ID

07035375

Vydavatel

Scholars' Press

Hmotnost

231

Rozměry

152 x 229 x 9

Kompletní popis

The Ganged Phased Array Radar Risk Mitigation System (GPAR-RMS) was a mobile ground-based sense-and-avoid software and hardware system for Unmanned Aircraft System (UAS) operations developed by the University of North Dakota. The Risk Mitigation (RM) software subsystem for GPAR-RMS was designed to estimate the current risk of mid-air collision, between the Unmanned Aircraft (UA) and a General Aviation (GA) aircraft flying under Visual Flight Rules (VFR) in the surrounding airspace. The results of data mining an aircraft telemetry data set from a consecutive nine month period in 2011 are presented. This aircraft telemetry data set consisted of Flight Data Monitoring (FDM) data obtained from Garmin G1000 devices onboard Cessna 172 GA aircraft. Complex subpaths were discovered from the aircraft telemetry data set using a novel application of a novel application of an ant colony algorithm. Probabilistic models were then data mined from those subpaths using unsupervised learning algorithms.

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Mining Aircraft Telemetry Data with Evolutionary Algorithms

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