Książka Mining Aircraft Telemetry Data with Evolutionary Algorithms Kirk Ogaard

Mining Aircraft Telemetry Data with Evolutionary Algorithms

Autor: Kirk Ogaard
Język: Angielski
Oprawa: Miękka
Wydawca: Scholars' Press
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
292.19
The Ganged Phased Array Radar Risk Mitigation System (GPAR-RMS) was a mobile ground-based sense-and-...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2013
strony
152
EAN
9783639518245
ISBN
3639518241
Enbook ID
07035375
Wydawca
Waga
231
Wymiary
152 x 229 x 9

Pełny opis

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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