简介:Thepaperdescribesatexture-basedfasttextlocationschemewhichoperatesdirectlyintheDiscreteWaveletTransform(DWT)domain.Bythedistinguishingtexturecharacteristicsencodedinwavelettransformdomain,thetextisfastdetectedfromcomplexbackgroundimagesstoredinthecompressedformatsuchasJPEG2000withoutfulldecompress.Comparedwithsometraditionalcharacterlocationmethods,theproposedschemehastheadvantagesoflowcomputationalcost,robusttosizeandfontofcharactersandhighaccuracy.Preliminaryexperimentalresultsshowthattheproposedschemeisefficientandeffective.
简介:ForTimeDifferenceOfArrival(TDOA)locationbasedonmulti-groundstationsscene,twodirectsolutionmethodsareproposedtosolvethetargetpositioninTDOAlocation.Therein,thesolvingmethodsarerealizedintherectangularandpolarcoordinates.Ontheconditionofrectangularcoordinates,firstofall,itsolvestheradialrangebetweenthetargetandreferencestation,thencal-culatesthelocationofthetarget.Inthecaseofpolarcoordinates,theazimuthbetweenthetargetandreferencestationissolvedfirst,thentheradialrangebetweenthetargetandreferencestationisfiguredout,finallythelocationofthetargetisobtained.Simultaneously,thesimulationandcomparisonanalysisaregivenindetail,andshowthatthepolarsolvingmethodhasthebetterfuzzyperformancethanthatofrectangularcoordinate.
简介:Usingthematrixapproach,weanalyzedtherelationbetweenthelocationofthetransmissioninstopbandandthephaseshift,anddiscussedtheproblemofvaryingthebandwidthofthetransmissionwindow.Thesetheoreticaltesultsinthispaperhaveimportantsignificanceforactualapplicationofthephase-shiftedfibergrating.
简介:SupportVectorMachine(SVM)isapowerfulmethodologyforsolvingproblemsinnon-linearclassification,functionestimationanddensityestimation,whichhasalsoledtomanyotherrecentdevelopmentsinkernelbasedmethodsingeneral.Thispaperpresentsahighaccuracyandfault-tolerantSVMforthemobilegeo-locationproblem,whichisanimportantcomponentofpervasivecomputing.Simulationresultsshowitsbasiclocationperformance,andillustrateimpactsofthenumberoftrainingsamplesandtrainingareaontestlocationerror.
简介:Withtheemergenceoflocation-basedapplicationsinvariousfields,thehigheraccuracyofpositioningisdemanded.Byutilizingthetimedifferencesofarrival(TDOAs)andgainratiosofarrival(GROAs),anefficientalgorithmforestimatingthepositionisproposed,whichexploitstheBroyden-Fletcher-Goldfarb-Shanno(BFGS)quasi-Newtonmethodtosolvenonlinearequationsatthesourcelocationundertheadditivemeasurementerror.Althoughtheaccuracyoftwo-stepweighted-least-square(WLS)methodbasedonTDOAsandGROAsisveryhigh,thismethodhasahighcomputationalcomplexity.Whiletheproposedapproachcanachievethesameaccuracyandbiaswiththelowercomputationalcomplexitywhenthesignal-to-noiseratio(SNR)ishigh,especiallyitcanachievebetteraccuracyandsmallerbiasatalowerSNR.Theproposedalgorithmcanbeappliedtotheactualenvironmentduetoitsreal-timepropertyandgoodrobustperformance.Simulationresultsshowthatwithagoodinitialguesstobeginwith,theproposedestimatorconvergestothetruesolutionandachievestheCramer-Raolowerbound(CRLB)accuracyforbothnear-fieldandfar-fieldsources.
简介:CausedbyNon-Line-Of-Sight(NLOS)propagationeffect,thenon-symmetriccontaminationofmeasuredTimeOfArrival(TOA)dataleadstohighinaccuraciesoftheconventionalTOAbasedmobilelocationtechniques.RobustpositionestimationmethodbasedonbootstrappingM-estimationandHuberestimatorareproposedtomitigatetheeffectsofNLOSpropagationonthelocationerror.SimulationresultsshowtheimprovementovertraditionalLeast-Square(LS)algorithmonlocationaccuracyunderdifferentchannelenvironments.
简介:Theclosephotogrammetric3-Dcoordinatemeasurementisanewmeasuringtechnologyinthefieldsofthecoordinatemeasurementmachine(CMM)inrecentyears.Inthismethod,weusuallyplacesometargetsonthemeasuredobjectandtakeimageoftargetstodeterminetheobjectcoordinate.Thesubpixellocationoftargetimageplaysanimportantroleinhighaccuracy3-Dcoordinatemeasuringprocedure.Inthispaper,somesubpixellocationmethodsarereviewedandsomefactorswhichaffectlocationprecisionareanalyzed.Thenweproposebilinearinterpolationcentroidalgorithm.Theexperimentshaveshownthisalgorithmcanimproveaccuracyoftargetcentroidbyincreasingavailablepixels.
简介:Duringthelastdecade,spatio-temporaldatabaseshavebecomeincreasinglyimportantinmanyapplicationssuchasgeographicinformationsystems(GIS)andengineeringinformationsystems.Thispaperdiscussesthedesignandimplementationofageocomputingplatformforthedevelopmentoflocation-basedservices(LBS)focusingonmobilemapping.Duringtheanalysis,design,andimplementationofthegeocomputingplatform,aneffectivemethodisproposedforthereal-timeprocessingofgeographicinformationacquiredbyacameraattachedtoapersonaldigitalassistant(PDA).Thismethodcombineslocationinformationgivenbytheglobalpositionsystem(GPS)withman’sabilitytorecognizethelocationofobjectsandtheirgeographicalrelationshiptoimproveobjectmapping.
简介:Timeefficiencyofkeyestablishmentandupdateisoneofthemajorproblemscontributorykeymanagementsstrivetoaddress.Toachievebettertimeefficiencyinkeyestablishment,weproposeaLocation-basedHuffman(L-Huffman)scheme.First,usersareseparatedintoseveralsmallgroupstominimizecommunicationcostwhentheyaredistributedoverlargenetworks.Second,bothuser'scomputationdifferenceandmessagetransmissiondelayaretakenintoconsiderationwhenHuffmancodingisemployedtoformingtheoptimalkeytree.Third,thecombinedweightsinHuffmantreearelocatedinahigherplaceofthekeytreetoreducethevarianceoftheaveragekeygenerationtimeandminimizethelongestkeygenerationtime.SimulationsdemonstratethatL-HuffmanhasmuchbetterperformanceinwideareanetworksandisalittlebetterinlocalareanetworkthanHuffmanscheme.
简介:Quality-of-Service(QoS)描述万维网服务的非功能的特征。因此,QoS是在服务选择,作文和容错的一个批评参数,并且必须被QoS预言方法的某类型精确地决定。随万维网服务的数字的戏剧的增加,然而,数据稀疏引起的预言失败成为了批评挑战。新‘hybriduser-location-aware预言基于加权的Adamic-Adar(WAA)’(HUWAA)被建议。含蓄的邻居搜索被合并地点因素优化。同时,改进算法的能力在公共真实世界数据集的实验被验证解决数据稀少问题。新算法超过基于条款的pearson关联系数(IPCC)存在,基于用户的pearson关联系数(UPCC)和万维网服务recommender系统(WSRec)算法。
简介:Thispaperproposesaneffectivemethodoffaultlocationbasedonabinarytreeforopticalburstswitching(OBS)network.Tominimizethemonitoringcost,wedividethenetworkintoseveralmonitordomainsbyintroducingmonitoring-cyclealgorithms.Inordertogenerateanexclusivecode,wemodifythemonitoringcyclealgorithmwhentwonodeshavethesamecode.Throughthebinarytreealgorithm,apre-computationoffaultsintheOBSnetworkcanbeachieved.Whenafaulthappens,wecanlocateitimmediatelyandaccurately.Exampleshaveprovedthatthealgorithmhasgeneralapplicability.
简介:Theoptimalestimationperformanceoftargetparametersisstudied.First,thegeneralformofCramer-Raobound(CRB)forjointestimationoftargetlocationandvelocityisderivedforcoherentmultipleinputmultipleoutput(MIMO)radars.TogainsomeinsightintothebehavioroftheCRB,theCRBwithasetofgivenorthogonalwaveformsisstudiedasaspecificcase.Second,amaximumlikelihood(ML)estimationalgorithmisproposed.Themeansquareerror(MSE)oftheMLestimationoftargetlocationandvelocityisobtainedbyMonteCarlosimulationanditapproachesCRBinthehighsignal-to-noiseratio(SNR)region.
简介:Low-duty-cyclemechanismscanreducetheenergyconsumptionsignificantlyinwirelesssensornetworks(WSNs).Sensorsstaydormantmostofthetimetosavetheirenergyandwakeupbasedontheirneeds.However,suchatechnique,whileprolongingthenetworklifetime,setsexcessivechallengesforreducingtheend-to-end(E2E)delaywithinthenetwork.Inthispaper,thecentralizedcluster-basedlocationfinding(CCLF)algorithmisproposedtoreducethehighlatencyinlow-duty-cycleWSNsbyfindingasuitablepositionforthesink.Thealgorithmismainlycomposedofthreesteps:a)theclusterconstruction,b)thefastlook-uptable(FLU-table)construction,andc)thesinklocationdecision.ThesimulationresultsshowthattheperformanceoftheCCLFalgorithmissignificantlysimilartothatoftheoptimalalgorithm.Moreover,theCCLFalgorithmrequireslessoperationtimecomparedwiththeoptimalalgorithm.