简介：TheTerabyteAnalysisMachineProjectisDevelopinghardwareandsoftwaretoanalyzeTerabytescaledatasets.TheDistanceMachineframeworkprovidesfacilitiestoflexiblyinterfaceapplicationspecificindexingandpartitioningalgorthmstolargescientificdatabases.

简介：一张链图允许指导并且未受指导的边，并且包含二的内在的数学性质。学习图形的模型的一个重要方法是使用得分标准测量图结构多好适合数据。在这份报纸，我们为基于Kullback鈥揕eibler距离学习链图的现在的得分标准。它是20张相等的、也就是说相等的链图获得一样的分数，因此执行平均的模型选择和模型能被用来。关键词链图-Markov等价-得分标准先生(2000)题目分类62B10-62H99由NNSFC(39930160)支持了；部分由BNU青春基础(104951)支持了

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简介：Thispaperusesthegeometricsingularperturbationtheorytoinvestigatedynamicalbehaviorsandsingularitiesinafundamentalpowersystempresentedinasingle-machineinfinite-busformulation.ThepowersystemcanbeapproximatedbytwosimplifiedsystemsSandF,whichcorrespondrespectivelytoslowandfastsubsystems.Thesingularities,includingHopfbifurcation(HB),saddle-nodebifurcation(SNB)andsingularityinducedbifurcation(SIB),arecharacterized.WeshowthatSNBoccursatPTc=3.4382,SIBatPTO=2.8653andHBatPTh=2.802forthesingularperturbationsystem.ItmeansthatthepowersystemwillcollapsenearSIBwhichprecedesSNBandthatthepowersystemwilloscillatenearHBwhichprecedesSIB.Inotherwords,thepowersystemwillloseitsstabilitybymeansofoscillationneartheHBwhichprecedesSIBandSNBasPTisincreasingtoacriticalvalue.Theboundaryofthestabilityregionofthesystemcanbedescribedapproximatelybyacombinationofboundariesofthestabilityregionsofthefastsubsystemandslowsubsystem.

简介：Thisworkdealswiththecoolingofhigh-speedelectricmachines,suchasmotorsandgenerators,throughanairgap.Itconsistsofnumericalandexperimentalmodelingofgasflowandheattransferinanannularchannel.Velocityandtemperatureprofilesaremodeledintheairgapofahigh-speedtestmachine.Frictionandheattransfercoefficientsarepresentedinalargevelocityrange.Thegoalsarereachedacceptablyusingnumericalandexperimentalresearch.Thevelocityfieldbythenumericalmethoddoesnotmatchineveryrespecttheestimatedflowmode.TheabsenceofsecondaryTaylorvorticesisevidentwhenusingtimeaveragednumericalsimulation.

简介：Inthispaper,weconsiderParallelMachinesSchedulingwithnonsimultaneousmachineavailabletime.WegivetheexactworstcaseperformanceboundofMLPTproposedbyLee.Furthermore,twoothermodifiedLPTalgorithmsarediscussed.Thepaperisendedbynumericalex-perimentsofthesealgorithms.

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