简介:人的姿势预言是为设计的一个关键因素;工作区的评估,在用虚拟人的虚拟环境。这个工作介绍一个新接口;为直接的人的虚拟环境优化了姿势预言(D-HOPP)在活动范围姿势必要的地方,来临到预言数字人的现实主义的活动范围姿势躯干的使用,手臂,;颈。在取决于什么类型任务正在被完成的地方,D-HOPP基于竞争,;人的姿势被不同人的性能测量管理。人的性能测量是一个基于物理的度量标准,例如精力或不快,;在优化明确的表达用作一个目标函数。这个问题作为单个目的的优化(SOO)被提出有单个性能测量的问题;作为multi-objective-optimization(哞)有多重联合性能测量的问题。我们使用联合排水量,在势能的变化,;肌与骨的不快是性能测量。D-HOPP与一个广泛的还直觉的用户接口被装备,;结果在交互虚拟环境被介绍。
简介:Inthispaper,anewmethod,namedasL-treematch,ispresentedforextractingdatafromcomplexdatasources.Firstly,basedondataextractionlogicpresentedinthiswork,anewdataextractionmodelisconstructedinwhichmodelcomponentsarestructurallycorrelatedviaageneralizedtemplate.Secondly,adatabase-populatingmechanismisbuilt,alongwithsomeobject-manipulatingoperationsneededforflexibledatabasedesign,tosupportdataextractionfromhugetextstream.Thirdly,top-downandbottom-upstrategiesarecombinedtodesignanewextractionalgorithmthatcanextractdatafromdatasourceswithoptional,unordered,nested,and/ornoisycomponents.Lastly,thismethodisappliedtoextractaccuratedatafrombiologicaldocumentsamountingto100GBforthefirstonlineintegratedbiologicaldatawarehouseofChina.
简介:Anew3Dsurfacecontouringandrangingsystembasedondigitalfringeprojectionandphaseshiftingtechniqueispresented.Usingthephase-shifttechnique,pointscloudwithhighspatialresolutionandlimitedaccuracycanbegenerated.Stereo-pairimagesobtainedfromtwocamerascanbeusedtocompute3Dworldcoordinatesofapointusingtraditionalactivetriangulationapproach,yetthecameracalibrationiscrucial.Neuralnetworkisawell-knownapproachtoapproximateanonlinearsystemwithoutanexplicitphysicalmodel,inthisworkitisusedtotrainthestereovisionapplicationsystemtocalculating3Dworldcoordinatessuchthatthecameracalibrationcanbebypassed.Thetrainingsetforneuralnetworkconsistsofavarietyofstereo-pairimagesandthecorresponding3Dworldcoordinates.Thepictureelementscorrespondenceproblemissolvedbyusingprojectedcolor-codedfringeswithdifferentorientations.Colorimbalanceiscompletelyeliminatedbythenewcolor-codedmethod.Oncethehighaccuracycorrespondenceof2Dimageswith3Dpointsisacquired,highprecision3Dpointscloudcanberecognizedbythewelltrainednet.Theobviousadvantageofthisapproachisthathighspatialresolutioncanbeobtainedbythephase-shiftingtechniqueandhighaccuracy3Dobjectpointcoordinatesareachievedbythewelltrainednetwhichisindependentofthecameramodelworksforanytypeofcamera.Someexperimentsverifiedtheperformanceofthemethod.
简介:Inthispaper,ananalyticaltechniqueispresentedfortimedomainanalysis(transientandsteady-stateresponse)ofperturbedPWMpush-pullDC-DCconverterusinginterestingcorollaryonKharitonov'stheorem.ThemainadvantageoftheproposedanalysisisthateventhoughthetransferfunctionmodelofaPWMpush-pullDC-DCconverterisperturbed,thecompleteanalysishasbeendoneonalineartransferfunctionmodelofaPWMpush-pullDC-DCconverter.TheproposedanalysisisverifiedusingMATLABsimulation.Thisanalysiswillbeverymuchusefultopowerelectronicsengineers,sincethetechniqueisverysimpleandcomputationallyefficientandeasilyapplicableinpreciseapplicationssuchasaerospaceapplications.
简介:Recently,switchedcontrolsystemshavebeenattractingmuchattentionmthecontrolcommunitybecausetheproblemsarenotonlyacademicallychallengingfortheinherentcomplexity,butalsoofpracticalimportanceduetoitswiderangesofapplicationsinnature,engineering,andsocialsciences.
简介:Wereviewtheliteratureonapproximatedynamicprogramming,withthegoalofbetterunderstandingthetheorybehindpracticalalgorithmsforsolvingdynamicprogramswithcontinuousandvector-valuedstatesandactionsandcomplexinformationprocesses.Webuildontheliteraturethathasaddressedthewell-knownproblemofmultidimensional(andpossiblycontinuous)states,andtheextensiveliteratureonmodel-freedynamicprogramming,whichalsoassumesthattheexpectationinBellman'sequationcannotbecom...