简介：Theanalysisofthesolutionoffluidnetworkmodeliscarriedouttomatchtheneedofgraphicallymodularauto-modellingforpowerplantsimulatorsbecauseofthesymmetryandsparsityofthelinearsystemofequations,anewmethodofimprovedGausseliminationispresentedforthesolutionoflargescalematrices.ComparisonofthenewmethodwiththeclassicalGausseliminationmethod,theGauss-Seideliterativemethodaregiven.Theresultsshowthatthealgorithmprovidedisbetterthantheothersandissuitableforauto-modellingoffluidnetowrksofpowerplants.

简介：喜欢汽车的朋友经常要接触到一些国外的汽车资讯,其中一些专业的术语常常让入摸不着头脑。这里我们把一些汽车专业术语的中英对照给大家列出来。

简介：一年之计在于春，每年年初正是企业订货的旺季，各种展览会、订货会也纷纷举办。而在数量众多的展览会中，中国汽车后市场行业大展——“AutoMaintech中国国际汽车维修技术及设备、汽车零配件、汽车用品展览会”无疑已经成为行业最具影响力的盛典。“AutoMaintech2008”将于2008年3月14—17日在北京中国国际展览中心举行。

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简介：<正>China’sautomobileindustryhadagoodstartintheyearof2014.Lastyear,thosemajorautoenterprisesransmoothly,whoseleadingeco-nomicindicatorsremainedasteadygrowth.AccordingtoChinaAssociationofAutomobileManufacturers(CAAM),inJanuary,theproductionandsalesofautomobilesinChinakepta

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简介：The1994ChinaInternationalAutoExpositionattractedsomeoftheworld’sfamouscarmakerssuchasGermany’sBenz,theSwedishSAAD,Japan’sMazdaandKorea’sHyundai.TheonlyChineseenterpriserivalingtheseinternationalgiantsistheShanghaiVolkswagenAutoCo.,Ltd.whoseluxuryShanghaiSantanacararousedgreatinterestamongitscounterpartsathomeandabroad.SituatedintheAntingIndustrial

简介：TangShuangning,ViceChairmanofChinaBankingRegulatoryCommissioninspeechinSino-JapanEconomyForumofHighLevelrevealedthatuntilMaythisyear,61foreignfinancialinstitutionsandenterprisesfrom19countriesandregionshasestablished199operationalfinancialinstitutionsin21citiesinChinaincludingthreeforeignautomobilefinancialcompanies.

简介：Sprayauto-ignitionexperimentswerecarriedoutinaconstantvolumecombustionchamberforsomepurealkanes(n-paraffinswithdifferentchainlength,cyclohexane,n-butylcyclohexane,andisooctane)andblendsofn-decanewithStandardBlendedFuel(isooctane/n-heptane)andproductgasoline.Testresultsshowedthatthereactionactivityofn-paraffinswasrelativelyhigh.Meanwhile,theauto-ignitioncharacteristicsdifferedsignificantlywiththemolecularstructuresofalkanes.Addingdifferentvolumefractionsofn-decanetoStandardBlendedFuelandproductgasolinecouldimprovethefuelreactionactivityatvaryingdegree.Finally,functionalgroupseffectswereusedtosimulatetherelationshipbetweenthemoleculartopologyandtheauto-ignitionquality.

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简介：Inthispaper,firstly,amathematicalmodelforaspecifickindofweltedbifurcationisestablished,theparametricequationfortheintersectingcurveisresultedin.Secondly,amethodforpartitioningfiniteelementmeshesoftheweltedbifurcationisputforward,itsmainideaisthatdevelopingthemainpipesurfaceandthebranchpipesurfacerespectively,dividingmeshesoneachdevelopingplaneandobtainingmeshespoints,thentransformingtheirplanecoordinatesintospacecoordinates.Finally,anappliedprogramforfiniteelementmeshesauto-generationissimplyintroduced,whichadoptObjectARXtechniqueanditsrunningresultcanbeshowninAutoCAD.ThemeshesgeneratedinAutoCADcanbeexportedconvenientlytomostoffiniteelementanalysissoftwares,andthefiniteelementcomputingresultcansatisfytheengineeringprecisionrequirement.

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简介：另一个方法是使用REGION命令选取各个对象,如果选取的对象是文本,如果先键入文本再画剖面线

简介：为鉴别在压缩压路机的水泥(RCC)的滚动的层自动地建水坝的一个计划被介绍。首先，一个概念的模型被开发。由使用一个计算几何学方法，第二，卷在卷压缩之间匹配的层和汽车的汽车鉴定用机器制造并且滚动的层基于空间控制点被认识到。到GuandiRCC水坝的构造的一个应用程序证明卷层的汽车鉴定在保证设计质量起了一个重要作用。

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简介：Sentimentanalysis,ahotresearchtopic,presentsnewchallengesforunderstandingusers＇opinionsandjudg-mentsexpressedonline.Theyaimtoclassifythesubjectivetextsbyassigningthemapolaritylabel.Inthispaper,weintroduceanovelmachinelearningframeworkusingauto-encodersnetworktopredictthesentimentpolaritylabelatthewordlevelandthesentencelevel.Inspiredbythedimensionalityreductionandthefeatureextractioncapabilitiesoftheauto-encoders,weproposeanewmodelfordistributedwordvectorrepresentation＂PMI-SA＂usingasinputpointwise-mutual-information＂PMI＂wordvectors.Theresultedcontinuouswordvectorsarecombinedtorepresentasentence.Anunsupervisedsentenceembeddingmethod,calledContextualRecursiveAuto-Encoders＂CoRAE＂,isalsodevelopedforlearningsentencerepresentation.Indeed,CoRAEfollowsthebasicideaoftherecursiveauto-encoderstodeeplycomposethevectorsofwordsconstitutingthesentence,butwithoutrelyingonanysyntacticparsetree.TheCoRAEmodelconsistsincombiningrecursivelyeachwordwithitscontextwords（neighbors＇words：previousandnext）byconsideringthewordorder.Asupportvectormachineclassifierwithfine-tuningtechniqueisalsousedtoshowthatourdeepcompositionalrepresentationmodelCoRAEimprovessignificantlytheaccuracyofsentimentanalysistask.Experimentalresultsdemon-stratethatCoRAEremarkablyoutperformsseveralcompetitivebaselinemethodsontwodatabases,namely,SanderstwittercorpusandFacebookcommentscorpus.TheCoRAEmodelachievesanefficiencyof83.28%withtheFacebookdatasetand97.57%withtheSandersdataset.