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dc.contributor.advisorBuss, Arnold H.
dc.contributor.authorAllen, Timothy E.
dc.date.accessioned2012-03-14T17:32:26Z
dc.date.available2012-03-14T17:32:26Z
dc.date.issued2004-06
dc.identifier.urihttp://hdl.handle.net/10945/1606
dc.description.abstractis shown to follow an exponential distribution. These three models enable operators to explore the impact of various inputs prior to programming the vehicle, thus allowing them to choose the best combination of vehicle parameters that minimize the offset error between the reported and actual locations.en_US
dc.format.extentxxii, 125 p. : ill. (some col.) ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshRemote submersiblesen_US
dc.subject.lcshUnderwater navigationen_US
dc.subject.lcshRegression analysisen_US
dc.subject.lcshHydrodynamicsen_US
dc.titleUsing discrete event simulation to assess obstacle location accuracy in the REMUS unmanned underwater vehicleen_US
dc.typeThesisen_US
dc.contributor.secondreaderSanchez, Susan M.
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentOperations Research
dc.identifier.oclc56088614
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Analysisen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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