简介:Cytokineslikeinterferons(IFNs)playacentralroleinregulatinginnateandspecificimmunitiesagainstthepathogensandneoplasticcells.AnumberofsignalingpathwaysareinducedinresponsetoIFNinvariouscells.OneclassicmechanismemployedbyIFNsistheJAK-STATsignalingpathwayforinducingcellularresponses.Herewedescribethenon-STATpathwaysthatparticipateinIFN-inducedresponses.Inparticular,wewillfocusontheroleplayedbytranscriptionfactorC/EBP-βinmediatingtheseresponses.
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简介:Toachievelowerassemblydelayatopticalburstswitchingedgenode,thispaperproposesanapproachcalledcurrentweightlengthprediction(CWLP)toimproveexistingestimatemechanisminburstassembly.isintroducedtomakeadynamictradeoffbetweenthecurrentandpasttrafficunderdifferentoffsettime.SimulationresultsshowthatCWLPcanachieveasignificantimprovementintermsoftrafficestimationinvariousoffsettimeandofferedload.
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简介:Inthisstudy,aMulti-LayerBPneuralnetwork(MLBP)withdynamicthresholdsisemployedtobuildaclassifiermodel.Astothedesignoftheneuralnetworkstructure,theoreticalguidanceandplentifulexperimentsarecombinedtooptimizethehiddenlayers'parameterswhichincludethenumberofhiddenlayersandtheirnodenumbers.Theclassifierwithdynamicthresholdsisusedtostandardizetheoutputforthefirsttime,anditimprovestherobustnessofthemodeltoahighlevel.Finally,theclassifierisappliedtoforecastboxofficerevenueofamoviebeforeitstheatricalrelease.ThecomparisonresultswiththeMLPmethodshowthattheMLBPclassifiermodelachievesmoresatisfactoryresults,anditismorereliableandeffectivetosolvetheproblem.
简介:Intheenvironmentofheterogeneouswirelessnetworks,itisvitaltoselectacurrentlyoptimalnetworkforapplicationsandsubscribers.Theuseofmultipleattributedecisionmaking(MADM)forheterogeneousnetworkselectioncanprovidesubscriberswithsatisfactoryservicequality.ConvertingheterogeneousnetworkselectionintoaMADMproblem,theauthorspresentanimprovedalgorithmforMADMbasedongroupdecisiontheory.Thealgorithmcombinesweightvectorsofmultipleattributedecisionmakingtoobtainacombinationalweightvector.Thentheresults’compatibilitywillbeassessed.Iftheydonotmeettherequirementsofcompatibility,thejudgmentmatrixwillbemodifieduntilacomprehensivevectorthatsatisfiescompatibilityrequirementsisproduced.Thevectoriscombinedwithsimpleweightingmethod(SAW)fornetworkselection.Simulationshowsthatthealgorithmcanprovideuserswithsatisfactoryqualityofservice(QoS).
简介:BPandRBFneuralnetworktopredictforeststockvolumewerestudied,butthestudyinevaluatingbothnetworks’applicationeffectswasnotconducted.Inordertofindahigherforecastprecision,morestrongapplicativemethod,thecomprehensiveanalysisandevaluationonthetwomethodswerecarriedoutinthepracticalapplication.Bythecorrelationanalysis,crowndensity,shady-slopeandsunny-slope,TM1,TM2,TM3,TM5,TM7,NDVI,TM,(4-3),TM4/3wereselectedasinputvariables,andtheforestvolumeofMiyunCountyasoutputvariables,RBFandBPneuralnetworkmodelsforforecastingtheforestvolumewereestablished.Andtheneuralnetworktrainingsteplength,trainingtime,predictionaccuracyandtheapplicabilitymodelofthetwomethodswerecomprehensivelyanalyzed.TheresultsshowthattheRBFneuralnetworkmodelissuperiortotheBPneuralnetworkmodel.
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简介:Afuzzyneuralnetworkcontrollerforunderwatervehicleshasmanyparametersdifficulttotunemanually.Toreducethenumerousworkandsubjectiveuncertaintiesinmanualadjustments,ahybridparticleswarmoptimization(HPSO)algorithmbasedonimmunetheoryandnonlineardecreasinginertiaweight(NDIW)strategyisproposed.OwingtotherestraintfactorandNDIWstrategy,anHPSOalgorithmcaneffectivelypreventprematureconvergenceandkeepbalancebetweenglobalandlocalsearchingabilities.Meanwhile,thealgorithmmaintainstheabilityofhandlingmultimodalandmultidimensionalproblems.TheHPSOalgorithmhasthefastestconvergencevelocityandfindsthebestsolutionscomparedtoGA,IGA,andbasicPSOalgorithminsimulationexperiments.ExperimentalresultsontheAUVsimulationplatformshowthatHPSO-basedcontrollersperformwellandhavestrongabilitiesagainstcurrentdisturbance.ItcanthusbeconcludedthattheproposedalgorithmisfeasibleforapplicationtoAUVs.
简介:Amethodologyisproposedtohandleproblemthatunderequiprobleaddressofpackettrafficattheinputport,GeneralizedShuffle-ExchangeNetwork(GSEN)routestrafficunevenlybecauseoftheunbalancedroutingtags.Theideaistouseroutingtagaccordingtoprobability,whichcanbeevaluatedbyusingMoore-Penroseinverseinmatrixanalysis.Aninstanceisusedtoillustratetheidea,andthesimulationisdonetoshowtheimprovementinperformanceissues.
简介:ThecharacteristicofEDFAinWDMsystemisanalyzed.ThesimulationsystembasedonthearchitectureoftheChinaInformationNetwork(CAINONET)isintroduced,andtheinfluenceofnoisefigure,gainunflatnessandoutputpowerofEDFAontheBERperformanceandscaleofnetworkisinvestigated.Moreover,theinfluenceofnoisefigureisstudiedwithdifferentcrosstalk.Meanwhile,itisindicatedthatitisimportanttoapplythe"nodeisolationprinciple"intheopticalnetwork.Theresearchresultscanprovidethevaluablereferenceforthepracticalconstructionofallopticalnetwork.