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Mining Aircraft Telemetry Data with Evolutionary Algorithms

Language EnglishEnglish
Book Paperback
Book Mining Aircraft Telemetry Data with Evolutionary Algorithms Kirk Ogaard
Libristo code: 07035375
Publishers Scholars' Press, August 2013
The Ganged Phased Array Radar Risk Mitigation System (GPAR-RMS) was a mobile ground-based sense-and-... Full description
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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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About the book

Full name Mining Aircraft Telemetry Data with Evolutionary Algorithms
Author Kirk Ogaard
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 152
EAN 9783639518245
ISBN 3639518241
Libristo code 07035375
Publishers Scholars' Press
Weight 231
Dimensions 152 x 229 x 9
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