简介：我们为最小化非强迫的光滑的凸的功能建议一个平行随机的牛顿方法(PSN)。我们在强烈凸的盒子中分析方法，并且给加速能在下面被期望的条件什么时候与它的连续对应物相比。我们显示出PSN怎么能一般来说被用于大二次的功能最小化，并且实验风险最小化问题。我们通过简单矩阵班的数字实验和模型表明方法的实际效率。

简介：与exascale来超级计算的时代，电源效率成为了最重要的障碍造一个exascale系统。Dataflow建筑学在为科学应用完成高电源效率有本国的优点。然而，最先进的dataflow体系结构没能为循环处理利用高并行。处理这个问题，我们建议一个pipelining环优化方法(PLO)，它在处理元素(PE)在环流动做重复dataflow的数组加速器。这个方法由二种技术，帮助建筑学的硬件重复和帮助说明的软件重复组成。在硬件重复执行模型，一个在薄片上循环控制器被设计产生循环索引，减少计算内核并且打为pipelining执行的一个好基础的复杂性。在软件重复实行模型，另外的环指令被论述解决重复相关性问题。经由这二种技术，准备好了每周期执行的指令的平均数字被增加使浮点联合起来忙。当这二种技术的硬件费用是可接受的时，模拟结果证明分别地，我们的建议方法平均由2.45x和1.1x在浮点效率超过静电干扰和动态循环执行模型。

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简介：Dempster-Shaferevidencetheory(DStheory)iswidelyusedinbrainmagneticresonanceimaging(MRI)segmentation,duetoitsefficientcombinationoftheevidencefromdifferentsources.Inthispaper,animprovedMRIsegmentationmethod,whichisbasedonfuzzyc-means(FCM)andDStheory,isproposed.Firstly,theaveragefusionmethodisusedtoreducetheuncertaintyandtheconflictinformationinthepictures.Then,theneighborhoodinformationandthedifferentinfluencesofspatiallocationofneighborhoodpixelsaretakenintoconsiderationtohandlethespatialinformation.Finally,thesegmentationandthesensordatafusionareachievedbyusingtheDStheory.ThesimulatedimagesandtheMRIimagesillustratethatourproposedmethodismoreeffectiveinimagesegmentation.

简介：Howtoletthespecialstubborndestructivecultbelieversrelievethedestructivecult’sspiritualcontrolandtobreakawayfromthedestructivecultisamajorproblemfacedbypeopleallovertheworldwhoaredevotingthemselvestotreatingthedestructivecultbelievers.Experienceshowsthattheuseofthe“latentlearningmethod”canachievegoodresults.Thearticleexpoundsthreepsychologicaltheoriesbasedonthislaw,includesthebehavioristpsychologist,Tolman’slatentlearningtheory,Bandura’sindirectlearningtheory,andphysiologicalpsychologistPenfield’ssurgicaldiscoverythatallthingsperceivedinthebrainarestoredinthebrain.Thisarticlealsointroducesthespecificoperationandapplicationofla

简介：Thecapabilityandreliabilityarecrucialcharacteristicsofmobilerobotswhilenavigatingincomplexenvironments.Theserobotsareexpectedtoperformmanyusefultaskswhichcanimprovethequalityoflifegreatly.Robotlocalizationanddecisionmakingarethemostimportantcognitiveprocessesduringnavigation.However,mostofthesealgorithmsarenotefficientandarechallengingtaskswhilerobotsnavigatethroughcomplexenvironments.Inthispaper,weproposeabiologicallyinspiredmethodforrobotdecision-making,basedonrat’sbrainsignals.Rodentsaccuratelyandrapidlynavigateincomplexspacesbylocalizingthemselvesinreferencetothesurroundingenvironmentallandmarks.Firstly,weanalyzedtherats’strategieswhilenavigatinginthecomplexY-maze,recordedlocalfieldpotentials(LFPs),simultaneously.TherecordedLFPswereprocessedanddifferentfeatureswereextractedwhichwereusedastheinputintheartificialneuralnetwork(ANN)topredicttherat’sdecision-makingineachjunction.TheANNperformancewastestedinarealrobotandgoodperformanceisachieved.Theimplementationofourmethodonarealrobot,demonstratesitsabilitiestoimitatetherat’sdecision-makingandintegratetheinternalstateswithexternalsensors,inordertoperformreliablenavigationincomplexmaze.

简介：Anovelefficienttrackinitiationmethodisproposedfortheharshunderwatertargettrackingenvironment(heavyclutterandlargemeasurementerrors):tracksplitting,evaluating,pruningandmergingmethod(TSEPM).Trackinitiationdemandsthatthemethodshoulddeterminetheexistenceandinitialstateofatargetquicklyandcorrectly.Heavyclutterandlargemeasurementerrorscertainlyposeadditionaldifficultiesandchallenges,whichdeteriorateandcomplicatethetrackinitiationintheharshunderwatertargettrackingenvironment.Therearethreeprimaryshortcomingsforthecurrenttrackinitiationmethodstoinitializeatarget:(a)theycannoteliminatetheturbulencesofcluttereffectively;(b)theremaybeahighfalsealarmprobabilityandlowdetectionprobabilityofatrack;(c)theycannotestimatetheinitialstateforanewconfirmedtrackcorrectly.Basedonthemultiplehypothesestrackingprincipleandmodifiedlogic-basedtrackinitiationmethod,inordertoincreasethedetectionprobabilityofatrack,tracksplittingcreatesalargenumberoftrackswhichincludethetruetrackoriginatedfromthetarget.Andinordertodecreasethefalsealarmprobability,basedontheevaluationmechanism,trackpruningandtrackmergingareproposedtoreducethefalsetracks.TSEPMmethodcandealwiththetrackinitiationproblemsderivedfromheavyclutterandlargemeasurementerrors,determinethetarget’sexistenceandestimateitsinitialstatewiththeleastsquaresmethod.What'smore,ourmethodisfullyautomaticanddoesnotrequireanykindmanualinputforinitializingandtuninganyparameter.Simulationresultsindicatethatournewmethodimprovessignificantlytheperformanceofthetrackinitiationintheharshunderwatertargettrackingenvironment.

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简介：Inordertoachievetheinformationfusioninthetimedomainbasedontheevidencetheory,anevidencecombinationmethodinthetimedomainbasedonreliabilityandimportanceisproposedaccordingtotheideaofevidencediscount.Firstly,thedistortionofthetime-domainevidenceisjudgedbasedonsingleexponentialsmoothing.Thereal-timereliabilityoftheevidenceattheadjacenttimeisobtainedbythereal-timereliabilityassessmentmethodoftheevidencebasedonthecredibilitydecaymodel.Then,therelativeimportanceoftheevidenceattheadjacenttimeisobtainedbycomprehensivelyconsideringimprovedconflictdegreeanduncertainty.Finally,basedonthecriterionofevidencediscountandtheDempster’sruleofcombination,theevidencecombinationiscarriedouttoachievethesequentialcombinationoftime-domainevidence.Thenumericalsimulationandanalysisshowthatthismethodhasfullyembodiedthedynamiccharacteristicsoftime-domainevidencecombination,andithasstrongprocessingabilityforconflictinformationandanti-disturbingability.Theproposedmethodhasgoodapplicabilitytoinformationfusioninthetimedomain.

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简介：ThispaperdevelopsanewlowerboundmethodforPOMDPsthatapproximatestheupdateofabeliefbytheupdateofitsnon-zerostates.ItusestheunderlyingMDPtoexploretheoptimalreachablestatespacefrominitialbeliefandselectactionsduringvalueiterations,whichsignificantlyacceleratestheconvergencespeed.Also,analgorithmwhichcollectsandprunesbeliefpointsbasedontheupperandlowerboundsispresented,andexperimentalresultsshowthatitoutperformssomeofthestate-of-artpoint-basedalgorithms.

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简介：一个新二水平的subspace方法为从无限维的优化问题解决一般非强迫的最小化明确的表达discretized被建议。在每次重复，算法也在当前的水平或粗糙的subspace修正步上执行直接的步。在粗糙的subspace修正步，我们由并列方向和坡度方向在当前的点跨越的二维的subspace扩充传统的粗糙的格子空间。全球集中被证明，集中率在discretized功能上在一些温和条件下面被学习。一些变化问题的初步的数字实验证明我们的二水平的subspace方法是有希望的。

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简介：Streamprocessingapplicationscontinuouslyprocesslargeamountsofonlinestreamingdatainrealtimeornearrealtime.Theyhavestrictlatencyconstraints.However,thecontinuousprocessingmakesthemvulnerabletoanyfailures,andtherecoveriesmayslowdowntheentireprocessingpipelineandbreaklatencyconstraints.Theupstreambackupschemeisoneofthemostwidelyappliedfault-tolerantschemesforstreamprocessingsystems.Itintroducescomplexbackupdependenciestotasks,whichincreasesthedifficultyofcontrollingrecoverylatencies.Moreover,whendependenttasksarelocatedonthesameprocessor,theyfailatthesametimeinprocessor-levelfailures,bringingextrarecoverylatenciesthatincreasetheimpactsoffailures.Thispaperstudiestherelationshipbetweenthetaskallocationandtherecoverylatencyofastreamprocessingapplication.Wepresentacorrelatedfailureeffectmodeltodescribetherecoverylatencyofastreamtopologyinprocessor-levelfailuresunderataskallocationplan.Weintroducearecovery-latencyawaretaskallocationproblem（RTAP）thatseekstaskallocationplansforstreamtopologiesthatwillachieveguaranteedrecoverylatencies.WediscussthedifferencebetweenRTAPandclassictaskallocationproblemsandpresentaheuristicalgorithmwithacomputationalcomplexityofO（nlog2n）tosolvetheproblem.Extensiveexperimentswereconductedtoverifythecorrectnessandeffectivenessofourapproach.Itimprovestheresourceusageby15%-20%onaverage.

简介：Accordingtothepreciseephemerishasonlyprovidedsatellitepositionthatisdiscretenotanytime,soproposethatmakeuseofinterpolationmethodtocalculatesatellitepositionatanytime.TheessaytakeadvantageofIGSpreciseephemerisdatatocalculatesatellitepositionatsometimebyusingLagrangeinterpolation,Newtoninterpolation,Hermiteinterpolation,Cubicsplineinterpolationmethod,Chebyshevfittingmethodrespectively,whichhasadeeplyanalysisintheprecisionoffiveinterpolations.TheresultsshowthattheprecisionofCubicsplineinterpolationmethodistheworst,theprecisionofChebyshevfittingisbetterthanHermiteinterpolationmethod.LagrangeinterpolationandNewtoninterpolationarebetterthanothermethodsinprecision.Newtoninterpolationmethodhastheadvantagesofhighspeedandhighprecision.Therefore,Newtoninterpolationmethodhasacertainscientificsignificanceandpracticalvaluetogetthepositionofthesatellitequicklyandaccurately.

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简介：在chiral媒介的电磁波繁殖被马方程和Drude-Born-Fedorov管理(组成)方程。这个问题被简化到一个二维的散布问题，并且被介绍二个透明边界条件在一个围住的领域提出。一与非局部的边界操作员的截断联系的posteriori错误估计被建立。基于posteriori错误控制，一个有限元素适应策略为计算衍射问题被介绍。截断参数突然地彻底地是坚定的posteriori错误估计。数字实验被包括说明我们的错误估计和建议适应算法的坚韧性和有效性。

简介：Thebasicrequirementsof'businessprocesswalkthrough'methodwereclarifiedandthediagnosticwayofprocessproblemofenterprisewasdiscussed.Thebusinessprocessproblemscanbesummarizedasprocessstructuredefects,lackofsupportingmechanismsandlackofsupportingsystem.Thebusinessurgency-expectedreturnmatrixscoringmethod,whichcaneffectivelysorttheimportanceoftheprocessproblemswasalsoanalyzed.Theimplementationmethodandkeyelementsofprocessoptimizationwerediscussed,andtheevaluationindexsystemofprocessoptimizationwasalsoconstructed.Thecontinuouscustomer-orientedbusinessprocessoptimizationcaneffectivelyimprovethequalityoftheprocessoperationandenhancethelevelofenterpriseoperationmanagement.