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dc.contributor.advisorBalogh, Imre
dc.contributor.authorTeters, James C.,II
dc.dateSep-13
dc.date.accessioned2013-11-20T23:36:33Z
dc.date.available2013-11-20T23:36:33Z
dc.date.issued2013-09
dc.identifier.urihttp://hdl.handle.net/10945/37732
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractCurrent modeling and simulation techniques may not adequately represent military operations using unmanned aircraft systems (UAS). A method to represent these conditions in a combat model can offer insight to the use and application of UAS operations, as well as understanding the sensitivity of simulation outcomes to the variability of UAS performance. Additionally, using combat model simulations that do not represent UAS behavior and conditions that cause this variability may return misleading or incomplete results. Current approaches include explicit scripting of behaviors and events. We develop a proof of principle search, targeting, and acquisition (STA) model for use with UAS within COMBATXXI, leveraging existing STA research conducted at the MOVES Institute at the Naval Postgraduate School. These dynamic behaviors are driven by events as they unfold during the simulation run rather than relying on preplanned events as in the scripted approach. This allows these behaviors to be highly reusable since they do not contain scenario or incident specific information. We demonstrate the application of the new STA model in a tactical convoy scenario in COMBATXXI. A design of experiments and post analysis quantifies the sensitivity of the measures of effectiveness of success to conditions contributing to variability in UAS performance.en_US
dc.description.urihttp://archive.org/details/enhancingentityl1094537732
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleEnhancing entity level knowledge representation and environmental sensing in COMBATXXI using unmanned aircraft systemsen_US
dc.typeThesisen_US
dc.contributor.secondreaderNesbitt, Peter
dc.contributor.departmentComputer Science
dc.subject.authorUASen_US
dc.subject.authorUAVsen_US
dc.subject.authorUnmanned Aircraft Systemsen_US
dc.subject.authorUnmanned Aerial Vehicleen_US
dc.subject.authorSensorsen_US
dc.subject.authorElectronics & Electronic Warfareen_US
dc.subject.authorInformation Systems Technologyen_US
dc.subject.authorCOMBATXXIen_US
dc.subject.authorHTNsen_US
dc.subject.authorHierarchical Task Networksen_US
dc.subject.authorOntologyen_US
dc.subject.authorReasoningen_US
dc.subject.authorKnowledge Representationen_US
dc.subject.authorTrainingen_US
dc.description.serviceMajor, United States Armyen_US
etd.thesisdegree.nameMaster of Science in Modeling, Virtual Environments, and Simulation (MOVES)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, And Simulation (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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