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简介：Thecontributionsofthestaticanddynamicarticulatoryinformationtospeechrecognitionwereevaluated,andtherecognitionapproachesbycombiningthearticulatoryinformationwithacousticfeatureswerediscussed.ArticulatorymovementswereobservedbytheElectromagneticArticulographicSystemforreadingspeech,andthespeechsignalswererecordedsimultaneously.First,weconductedseveralspeechrecognitionexperimentsbyusingarticulatoryfeaturesalone,consistingofanumberofspecificarticulatorychannels,toevaluatethecontributionofeachobservationpointonarticulators.Then,thedisplacementinformationofarticulatorydatawerecombinedwithacousticfeaturesdirectlyandadoptedinspeechrecognition.Theresultsshowthatarticulatoryinformationprovideswithadditionalinformationforspeechrecognitionwhichisnotencodedinacousticfeatures.Furthermore,thecontributionofthedynamicinformationofthearticulatorydatawasevaluatedbycombiningtheminspeechrecognition.Itisfoundthatthesecondderivativeofarticulatoryinformationprovidedquitelargercontributiontospeechrecognitioncomparingwiththesecondderivativeofacousticalinformation.Atlast,thecombinationmethodsofarticulatoryfeaturesandacousticoneswereinvestigatedforspeechrecognition.ThebasicapproachisthattheBayesianNetwork(BN)isaddedtoeachstateofHMM,wherethearticulatoryinformationisrepresentedbytheBNasafactorofobservedsignalsduringtrainingthemodelandismarginalizedasahiddenvariableinrecognitionstage.ResultsbasedonthisHMM/BNframeworkshowabetterperformancethanthetraditionalmethod.

简介：Thekernelbasedtrackinghastwodisadvantages:thetrackingwindowsizecannotbeadjustedefficiently,andthekernelbasedcolordistributionmaynothaveenoughabilitytodiscriminateobjectfromclutterbackground.Forboostingupthefeature'sdiscriminatingability,bothscaleinvariantfeaturesandkernelbasedcolordistributionfeaturesareusedasdescriptorsoftrackedobject.Theproposedalgorithmcankeeptrackingobjectofvaryingscalesevenwhenthesurroundingbackgroundissimilartotheobject'sappearance.

简介：Purpose:Proctalgiafugax(PF)isabenignanorectalconditionwhichhasbeendescribedintheliteraturesincethenineteenthcenturycommonlypresentingtogeneralsurgeons.Thereislittlehighlevelevidenceonthesubjectanditstherapeuticmodalities.Weaimedthroughthissystematicliteraturereviewtooutlinethe

简介：Withrespecttothedecisionmakingproblemswherealotoffuzzyandgreyinformationalwaysexistsinthereal-lifedecisionmakinginformationsystem,itisdifficultforsuchuncertaintymethodsasfuzzymathematics,probability,andintervalnumberstodealwith.Tothisend,basedonthethoughtandmethodofgreynumbers,greydegreesandintervalnumbers,theconceptofdominancegreydegreeisdefined.Andthenamethodofrankingintervalgreynumbersbasedonthedominancegreydegreeisproposed.Afterdiscussingtherelevantproperties,thepaperfinallyusesanexampletodemonstratetheeffectivenessandapplicabilityofthemodel.Theresultshowsthattheproposedmodelcanmoreaccuratelydescribeuncertaintydecisionmakingproblems,andrealizethetotalorderingprocessformultiple-attributedecision-makingproblems.

简介：ThispaperexploitsBooleansatisfiabilityprobleminequivalencecheckingandmodelcheckingrespectively.Acombinationalequivalencecheckingmethodbasedonincrementalsatisfiabilityispresented.Thismethodchoosesthecandidateequivalentpairswithsomenewtechniques,andusesincrementalsatisfiabilityalgorithmtoimproveitsperformance.Bysubstitutingtheinternalequivalentpairsandconvertingtheequivalencerelationsintoconjunctivenormalform(CNF)formulas,thisapproachcanavoidthefalsenegatives,andreducethesearchspaceofSATprocedure.ExperimentalresultsonISCAS'85benchmarkcircuitsshowthat,thepresentedapproachisfasterandmorerobustthanthoseexistedinliterature.Thispaperalsopresentsanalgorithmforextractingofunsatisfiablecore,whichhasanimportantapplicationinabstractionandrefinementformodelcheckingtoalleviatethestatespaceexplosionbottleneck.Theerrorofapproximateextractionisanalyzedbymeansofsimulation.Ananalysisrevealsthataninterestingphenomenonoccurs,withtheincreasingdensityoftheformula,theaverageerroroftheextractionisdecreasing.AnexactextractionapproachforMUsubformula,referredtoaspre-assignmentalgorithm,isproposed.Boththeoreticalanalysisandexperimentalresultsshowthatitismoreefficient.

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简介：Thispaperpresentsavacuumgripper(asanactuatorofanintelligentmicromanipulator)formicroobjects(withadiameterof100～300μm)assemblytasks.Thegripperiscomposedofavacuumunitandacontrolunit.Thevacuumunitwithaproportionalvalveandapressuresensor,andthecontrolunitwithaPC+MCUtwo-layeredcontrolarchitecturearedesigned.Themechanicalstructure,workflowandmajorprogramsofthemicro-gripperarepresented.

简介：Inthispaper,ARMiner,adataminingtoolbasedonassociationrules,isintroduced.Beginningwiththesystemarchitecture,thecharacteristicsandfunctionsaredis-cussedindetails,includingdatatransfer,concepthierarchygeneralization,miningruleswithnegativeitemsandthere-developmentofthesystem.Anexampleofthetool'sapplicationisalsoshown.Finally,someissuesforfutureresearcharepresented.

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简介：Theirradiationofcellscombinedwiththeimmunoconjugateofgoldnanoparticlesbytheshortpulselasercanmaketheplasmamembranebetransientlypermeabilized,whichcanbeusedtotransferexogenousmoleculesintothecells.Weexplorethistechniqueasanovelgenetransfectionmethodforfloatingcells.Threedifferentfloatingcellsexposedtothelaserareselectivelytransfectedwithfiuoresceinisothiocyanatedextran,antibody,andgreenfluorescentprotein(GFP)codingplasmids,andtheviabilityofcellsaredeterminedbypropidiumiodide.Forfluoresceinisothiocyanate-dextran,thebesttransfectionefficiencyof65%isobtained;fortheantibody,itis74%;whereasforthegreenfluorescentproteincodingplasmids,averysmalltransfectionefficiencyisgained.Ifthetransfectionefficiencyisimproved,goldnanoparticleswillbeveryusefulasmediatorforgenetransfectioninlivingcells.

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简介：纸为同时的图象分类和注解建议一个新奇概率的生产模型。模型考虑范畴信息能为图象注解提供珍贵信息的事实。一旦一幅图象的范畴被查明，注解词的范围能被缩小，并且产生无关的注解词的概率能被减少。到这个目的，根据班注解图象的想法在模型被介绍。用变化方法，模型的近似推理和参数评价算法被导出，并且为分类并且注解新图象的有效近似也被给。我们的模型的力量在二真实世界数据集上被表明：1600图象LabelMe数据集和1791图象UIUC运动数据集。实验结果证明分类表演与几个最先进的分类模型同样，当注解表演比几个最先进的注解模型的好时。

简介：一个修改Parzen窗户方法，在低频率使分辨率高并且把光滑放在高频率，被建议获得统计模型。然后，当长句子被处理时，利用统计模型的一个性分类方法被建议，它有性分类的98%精确性。由男声音和女性表示的分离，与不同情感训练样品的讲话的平均数和标准差被用来创造相应情感模型。然后在测试样品和沥青的统计模型之间的Bhattacharyya距离，在沥青的speech.The正规化为情感识别被利用因为男声音和女声音也被考虑，以便说明他们直到一个一致空格。最后，讲话情感识别实验基于K最近的邻居显示出那，81%的正确的率被完成，在它仅仅是73.85%if的地方，传统的参数被利用。

简介：Thispaperexposestheconcurrentcharacteristicinthecommunicaionbetweenprocessorsinatransputerbasedsystem,andproposesanapproximateformulaforassessingthegranularityofdistributingtheparallelprocessesamongprocessors.ThereallymeasuredresultsforapipelinesortingprogramrunggingontheT-rackconfirmthesededucedresults.

简介：这份报纸论述一个粒子有联机特征选择机制的基于过滤器的视觉追踪方法。在基于颜色的粒子过滤器算法，粒子的重量总是不正确地代表重要性，这目标基于粒子追踪过滤的原因可以收敛到目标的一个本地区域。在我们的建议视觉追踪的方法，在目标和背景之间的Bhattacharyya距离和本地辨别被用来定义粒子的重量，它能解决存在本地集中问题。实验证明建议方法能不仅在追踪过程的单个目标而且在追踪过程的多重类似的目标工作很好。

简介：ThispaperintroducesthemainPCBrulesbasedonPentiumMformobilecomputerarchitectureinmilitaryarea,settlesrulesoflayout,inductssimulatediscussiontocrosstalkofparallelingtransmissionlines,advertsthematchingrulesoftimelength,andoffersanexecutionwaytoreducemotherboardareaandimprovemakingprocess.

简介：ThisLetterproposesabrand-newfilamentdiametermeasurementmethodbasedonwhatiscalled'dualdiffraction,'inthatagratingisaddedbehindthefilamenttomakefulluseofitssubdivisionandamplificationcharacteristics.Highermeasurementaccuracyisachievedbythismethodcomparedwiththetraditionaldiffractionmethod.Toverifyitsaccuracy,threestandardfilamentswithnominalvaluesof100.2,120.1,and140.8μmaremeasuredbythedualdiffractionmethodandtraditionaldiffractionmethodunderthesameexperimentalconditions.Therelativemeasurementerrorsofthenewmethodarelessthan0.75%,anditsaveragerelativeerrorisreducedby56%comparedwiththetraditionaldiffractionmethod.

简介：a scheduling algorithm can be characterized as an intelligent agent. The agent can make decisions based on the response from the environment and take action (computation). We name this agent computing agent. The dynamic integration of scheduling algorithms is the integration of different computing agents under the scheduling of a manager.,Of course we can not and need not design agents for each algorithm. But we can do that for each class. Our solution is to joint different classes of computing agents into a MASS to realize dynamic integration of scheduling algorithms. Except for a manager,A scheduling algorithm is a process of solving scheduling problems. The process needs to keep contact with the environment. Assembled with a rule base