简介:Intrusiondetectioncanbeessentiallyregardedasaclassificationproblem,namely,dis-tinguishingnormalprofilesfromintrusivebehaviors.Thispaperintroducesboostingclassificationalgorithmintotheareaofintrusiondetectiontolearnattacksignatures.Decisiontreealgorithmisusedassimplebaselearnerofboostingalgorithm.Furthermore,thispaperemploysthePrincipleCom-ponentAnalysis(PCA)approach,aneffectivedatareductionapproach,toextractthekeyattributesetfromtheoriginalhigh-dimensionalnetworktrafficdata.KDDCUP99datasetisusedintheseex-perimentstodemonstratethatboostingalgorithmcangreatlyimprovetheclassificationaccuracyofweaklearnersbycombininganumberofsimple“weaklearners”.Inourexperiments,theerrorrateoftrainingphaseofboostingalgorithmisreducedfrom30.2%to8%after10iterations.Besides,thispaperalsocomparesboostingalgorithmwithSupportVectorMachine(SVM)algorithmandshowsthattheclassificationaccuracyofboostingalgorithmislittlebetterthanSVMalgorithm’s.However,thegeneralizationabilityofSVMalgorithmisbetterthanboostingalgorithm.
简介:Ahybridapproachforfuzzysystemdesignbasedonclusteringandakindofneurofuzzynetworksisproposed.Anunsupervisedclusteringtechniqueisfirstlyusedtodeterminethenumberofif-thenfuzzyrulesandgenerateaninitialfuzzyrulebasefromthegiveninput-outputdata.Then,aclassofneurofuzzynetworksisconstructedanditsweightsaretunedsothattheobtainedfuzzyrulebasehasahighaccuracy.Finally,twoexamplesoffunctionapproximationproblemsaregiventoillustratetheeffectivenessoftheproposedapproach.
简介:AnapproachofdefendingagainstDistributedDenialofService(DDoS)attackbasedonflowmodelandflowdetectionispresented.TheproposedapproachcanprotecttargetsfromDDoSattacking,andallowtargetstoprovidegoodservicetolegitimatetrafficunderDDoSattacking,withfastreaction.Thisapproachadoptsthetechniqueofdynamiccombfilter,yieldsalowleveloffalsepositivesoflessthan1.5%,dropssimilarpercentageofgoodtraffic,about1%,andpassesneglectablepercentageofattackbandwidthtothevictim,lessthan1.5%.Theprototypeofcommercialproduct,D-fighter,isdevelopedbyimplementingthisproposedapproachonIntelnetworkprocessorplatformIXP1200.
简介:Specklefilteringofsyntheticapertureradar(SAR)imageswhilepreservingthespatialsignalvariability(textureandfinestructures)stillremainsachallenge.ManyalgorithmshavebeenproposedfortheSARimagerydespeckling.However,simulatedannealing(SA)methodisoneofexcellentchoicescurrently.AcriticalprobleminthestudyonSAistoprovideappropriatecoolingschedulesthatensurefastconvergencetonear-optimalsolutions.Thispapergivesanewnecessaryandsufficientconditionforthecoolingschedulesothatthealgorithmstateconvergesinallprobabilitytothesetofgloballyminimumcoststates.Moreover,itconstructsanappropriateobjectivefunctionforSARimagedespeckling.AnexperimentalresultoftheactualSARimageprocessingisobtained.
简介:Thispaperdescribes,bymeansofaVoronoihypersphere,thenearestneighborrelationsofallthefeaturesubmatricesinthefaultclassificationspaceandanalysesthedeviationdisturbanceanglesbetweenfaultfeaturesubmatricesandak-dimensionunitarymatrixofthemeasuredvoltagechangematrix.Withtheabovetwoconcepts,thispaperdiscussesthediagnos-abilityinthefaultclassificationapproach.Thepaperalsoclassifiesanddefinesthefaultdiagnosisproblems.Finally,thepaperderivesthecorrespondingnecessaryandsufficientconditionsforcorrectlocationoffaults.
简介:Inaerialrobots’visualnavigation,itisessentialyetverydiffculttodetecttheattitudeandpositionoftherobotsoperatedinrealtime.Byintroducinganewparametricmodel,theproblemcanbereducedfromalmostunmanageabletobepartlysolved,thoughnotfully,aspertherequirement.Inthisparametricapproach,amulti-scaleleastsquaremethodisformulatedfirst.Bypropagatingaswellasimprovingtheparametersdownfromlayertolayeroftheimagepyramid,anewglobalfeaturelinecanthenbedetectedtoparameterizetheattitudeoftherobots.Furthermore,thisapproachpavesthewayforsegmentingtheimageintodistinctparts,whichcanberealizedbydeployingaBayesianclassifieronthepicturecelllevel.ComparisonwiththeHoughtransformbasedmethodintermsofrobustnessandprecisionshowsthatthismulti-scaleleastsquarealgorithmisconsiderablymorerobusttonoises.Somediscussionsarealsogiven.
简介:AdmissioncontrolplaysanimportantroleinprovidingQoStonetworkusers.Motivatedbythemeasurement-basedadmissioncontrolalgorithm,thisletterproposedanewadmissioncontrolapproachforintegratedservicepacketnetworkbasedontrafficprediction.Intheletter,FARIMA(p,d,q)modelsintheadmissioncontrolalgorithmisdeployed.AmethodtosimplifytheFARIMAmodelfittingprocedureandhencetoreducethetimeoftrafficmodelingandpredictionissuggested.Thefeasibility-studyexperimentsshowthatFARIMAmodelswhichhavelessnumberofparameterscanbeusedtomodelandpredictactualtrafficonquitealargetimescale.Simulationresultsvalidatethepromisingapproach.
简介:ThispaperpresentsapragmaticadaptiveschemeforTuCMoverslowlyfadingchannels.Theadaptiveschemeemploysasingleturbocodedmodulatorcomposedofavariable-rateturboencoderandavariable-ratevariable-powerMQAMforallfadingregions,soithasanacceptablecomplexitytoimplement.TheoptimaladaptiveTuCMschemeisdeterminedsubjecttovarioussystemconstraints.Simulationshavebeenperformedtomeasuretheperformanceoftheschemefordifferentparameters.Itisshownthatadoptingboththeturbocodedmodulatorandthetransmitpowerachievesaperformancewithin2.5dBofthefadingchannelcapacity.
简介:Gatematrixlayoutproblemplaysanimportantroleinintegratedcircuitdesign,butitsoptimizationisNP-hard.Inthispaper,typicalgatelayoutproblemisanalysedandadaptedtoneuralnetworkrepresentation,furthermorethesimulatedresultsaregiven.
简介:AnApproachforIntegratingQuantitativeDeisionModelwithQualitativeJudgmentTXAnApproachforIntegratingQuantitativeDecisionModelwith...
简介:Namedentityrecognitionisafundamentaltaskinbiomedicaldatamining.Inthisletter,anamedentityrecognitionsystembasedonCRFs(ConditionalRandomFields)forbiomedicaltextsispresented.Thesystemmakesextensiveuseofadiversesetoffeatures,includinglocalfeatures,fulltextfeaturesandexternalresourcefeatures.Allfeaturesincorporatedinthissystemaredescribedindetail,andtheimpactsofdifferentfeaturesetsontheperformanceofthesystemareevaluated.Inordertoimprovetheperformanceofsystem,post-processingmodulesareexploitedtodealwiththeabbrevia-tionphenomena,cascadednamedentityandboundaryerrorsidentification.Evaluationonthissystemprovedthatthefeatureselectionhasimportantimpactonthesystemperformance,andthepost-processingexploredhasanimportantcontributiononsystemperformancetoachievebetterre-sults.
简介:信息熔化是在多模式的生物测定的系统的关键步。特征级的熔化是比由于原来的特征集合关于生物测定的数据包含更富有的信息的事实的分数级、决定级的方法更有效的。在这份报纸,我们在场当时,为特征级的多模式的生物测定的信息熔化的概括正规判别式设计(MGCDP)方法,它最大化intra班的关联展示的multiset最小化在班之间的关联。另外,连续MGCDP(S-MGCDP)和策略也是的平行MGCDP(P-MGCDP)求婚了,它能多于二种生物测定的信息熔化,以便完成更好的鉴定效果。实验在MGCDP方法超过的各种各样的生物测定的数据库表演表现了另外的最先进的特征级的信息熔化途径。
简介:Multidisciplinaryfeasiblemethod(MDF)isconventionalmethodtomultidisciplinaryoptimization(MDO)andwell-understoodbyusers.Itreducesthedimensionsofthemultidisciplinaryoptimizationproblembyusingthedesignvariablesasindependentoptimizationvariables.However,ateachiterationoftheconventionaloptimizationprocedure,multidisciplinaryanalysis(MDA)isnumerouslyperformedthatresultsinextremeexpenseandlowoptimizationefficiency.TheintrinsicweaknessofMDFisduetothetimesthatitloopfixed-pointiterationsinMDA,whichdriveustoimproveMDFbybuildinginexpensiveapproximationsassurrogatesforexpensiveMDA.AnsimpleexampleispresentedtodemonstratetheusefulnessoftheimprovedMDF.ResultsshowthatasignificantreductioninthenumberofmultidisciplinaryanalysisrequiredforoptimizationisobtainedascomparedwithoriginalMDFandtheefficiencyofoptimizationisincreased.
简介:Thekeyofthesubspace-basedDirectionOfArrival(DOA)estimationliesintheestimationofsignalsubspacewithhighquality.Inthecaseofuncorrelatedsignalswhilethesignalsaretemporallycorrelated,anovelapproachfortheestimationofDOAinunknowncorrelatednoisefieldsisproposedinthispaper.TheapproachisbasedonthebiorthogonalitybetweenamatrixanditsMoore-Penrosepseudoinverse,andmadenoassumptiononthespatialcovariancematrixofthenoise.Theapproachexploitsthestructuralinformationofasetofspatio-temporalcorrelationmatrices,anditcangivearobustandpreciseestimationofsignalsubspace,soapreciseestimationofDOAisobtained.Itsperformancesareconfirmedbycomputersimulationresults.
简介:Anewalgorithmofnonuniformitycorrectionforinfraredfocalplanearray(IRFPA)isreported,whichisacombinedalgorithmbasedonboththetwo-pointcorrectionandartificialneuralnetworkscorrection.Thecombinedalgorithmiscalibratedbytwo-pointcorrection,andthecalibratedcorrectioncoefficientsareautomaticallymodifiedbyBPalgorithm.Soitisnotonlycalibrated,butalsoreal-timeprocessed.Inadaptivenonuniformitycorrectionalgorithm,thephenomenaghostartifactandtargetfade-outareavoidedbyedgeextraction.Inordertogetintensifiedimage,themodifiedmedianfiltersareadopted.Thesimulateddataindicatestheproposedschemeisaneffectivealgorithm.
简介:Toimprovetheperformanceoftransmissionbyreducingthenumberoftransmissionandnetworkoverheadofwirelesssingle-hopnetworks,thispaperpresentsahighefficientmultipacketdecodingapproachfornetworkcoding(EMDNC)inwirelessnetworksaccordingtotheideaofencodingpacketswhichcannotbedecodedandarestoredinbufferbyreceivingnodes,thelostpacketscanberecoveredfromtheseencodedpackets.Comparedwiththenetworkcodingwirelessbroadcastingretransmission(NCWBR),EMDNCcanimprovetheefficiencyofdecodingandreducethenumberofretransmissionandtransmissiondelay.SimulationresultsrevealthatEMDNCcaneffectivelyreducethenumberofretransmissionandnetworkoverhead.