简介:ThispaperintroducesthecurrentsituationofdomesticfurnitureproductionaswellasworldfurnitureCADproducts,putsforwardthenecessityofdevelopingadedicatedCADsystem_WFCADanditsmainfunctions,Itanalyzesindetailtheappliedtechnologyandkeytechniques,includinggeometricmodeling,assembly,jointdesign,databaselinkingandmanagement.TheapplicationofWFCADinfurnituremanufacturingenterprisesanditsfurtherimprovementareoutlined.
简介:Inthispaper,anovelbiontetricidentificationsystemispresentedtoidentifyaperson'sidentitybyhis/herpalmprint.Incontrasttoexistingpalmprintsystemsforcriminalapplications,theproposedsystemtargetsatthecivilapplications,whichrequireidentifyingapersoninalargedatabasewithhighaccuracyinreal-time.Thesystemisconstitutedbyfourmajorcomponents:UserInterfaceModule,AcquisitionModule,RecognitionModuleandExternalModule.Morethan7,000palmprintimageshavebeencollectedtotesttheperformanceofthesystem.Thesystemcanidentify400palmswithalowfalseacceptancerate,0.02%,andahighgenuineacceptancerate,98.83%.Forverification,thesystemcanoperateatafalseacceptancerate,0.017%andafalserejectionrate,0.86%.Theexecutiontimeforthewholeprocessincludingimagecollection,preprocessing,featureextractionandmatchingislessthan1second.
简介:Wehavedevelopedafuzzyneuralexpertsystemthathastheprecisionandlearningabilityofaneuralnetwork.Knowledgeisacquiredfromdomainexpertsasfuzzyrulesandmembershipfunctions.Then,theyareconvertedintoaneuralnetworkwhichimplementsfuzzyinferencewithoutrulematching.Theneuralnetworkisappliedtoproblem-solvingandlearnsfromthedataobtainedduringoperationtoenhancetheaccuracy.Thelearningabilityoftheneuralnetworkmakesiteasytomodifythemembershipfunctionsdefinedbydomainexperts.Also,bymodifyingtheweightsofneuralnetworksadaptively,theproblemofbeliefpropagationinconventionalexpertsystemscanbesolvedeasily.Convertingtheneuralnetworkbackintofuzzyrulesandmembershipfunctionshelpsexplaintheinnerrepresentationandoperationoftheneuralnetwork.
简介:Acompoundneuralnetworkisutilizedtoidentifythedynamicnonlinearsystem.Thisnetworkiscomposedoftwoparts:oneisalinearneuralnetwork,andtheotherisarecurrentneuralnetwork.Basedontheinversetheoryacompoundinversecontrolmethodisproposed.Thecontrollerhasalsotwoparts:alinearcontrollerandanonlinearneuralnetworkcontroller.Thestabilityconditionoftheclosed-loopneuralnetwork-basedcompoundinversecontrolsystemisdemonstratedbasedontheLyapunovtheory.Simulationstudieshaveshownthatthisschemeissimpleandhasgoodcontrolaccuracyandrobustness.
简介:PROOSisadistributedoperatingsystemrunningonthecomputingnodesofmassivelyparallelprocessingcomputerDawning-1000.Itisanefficientandeasilyextendiblemicrokerneloperatingsystem.ItsupportstheIntelNXmessagepassinginterfaceforcommunication.
简介:Inordertoachieveawheelchairliftfunction,thispaperdesignsatri-scissorsmechanism.Throughtheso-calledH-typetransmissionandL-typeswingrod,thethreescissorsmechanismsliftinthesameratewithonlyonelinermotorwhileensuringthestabilityofthelift.FiniteelementanalysisinANSYSisperformedtoverifythematerialstrength.ThecontrolsystemwithSunplusSCMachievesthevoicecontrolofwheelchairwalkingandlifting.
简介:Basedonlong-timeresearchonvocationalteachingcubetheoryingraphicseducationandanalyzingontheintellectualstructureintheprocessofreadingengineeringdrawing,thegraphicsintellectualthree-dimensionalmodel,whichismadeupof100cubes,isfoundedandtestedinhighervocationalgraphicseducation.Thissystemservesasagoodguidancetothegraphicsteaching.
简介:ThispaperintroducesakindofsemanticcomputationandpresentshowtocombineitintoourChineseQuestion-Answering(QA)system.Basedontwokindsoflanguageresources,HownetandCilin,wepresentanapproachtocomputingthesimilarityandrelevancybetweenwords.Usingtheseresults,wecancalculatetherelevancybetweentwosentencesandthengettheoptimalanswerforthequeryinthesystem.ThecalculationadoptsquantitativemethodsandcanbeincorporatedintoQAsystemseasily,avoidingsomedifficultiesinconven-tionalNLP(NaturalLanguageProcessing)problems.Theexperimentsshowthattheresultsaresatisfactory.
简介:ThispaperintroducesaheterogeneousdistributeddatabasesystemcalledLSZsystem,whereLSZisanabbreviationofLiShizhen,anancientChinesemedicalscientist.LSZsystemadoptsclusterasdistributeddatabasenode(orsite).Eachclusterconsistsofoneofseveralmicrocomputersandoneserver.Tepaperdescribesitsbasicarchitectureandtheprototypeimplementation,whichincludesqueryprocessingandoptimization,transactionmanageranddatalanguagetranslation.ThesystemprovidesauniformretrieveandupdateuserinterfacethroughglobalrelationaldatalanguageGRDL.