Bookcover of Mining Aircraft Telemetry Data with Evolutionary Algorithms
Booktitle:

Mining Aircraft Telemetry Data with Evolutionary Algorithms

Scholars' Press (2013-08-24 )

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ISBN-13:

978-3-639-51824-5

ISBN-10:
3639518241
EAN:
9783639518245
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
Scholars' Press
Website:
http://www.scholars-press.com
By (author) :
Kirk Ogaard
Number of pages:
152
Published on:
2013-08-24
Stock:
Available
Category:
Application software
Price:
79.90 €
Keywords:
Data mining; unsupervised learning; probabilistic models; collision avoidance; unmanned aircraft systems

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