简介：Sequentialpatternminingisanimportantdataminingproblemwithbroadapplications.However,itisalsoachallengingproblemsincetheminingmayhavetogenerateorexamineacombinatoriallyexplosivenumberofintermediatesubsequences.Recentstudieshavedevelopedtwomajorclassesofsequentialpatternminingmethods:(1)acandidategeneration-and-testapproach,representedby(i)GSP,ahorizontalformat-basedsequentialpatternminingmethod,and(ii)SPADE,averticalformat-basedmethod;and(2)apattern-growthmethod,representedbyPrefixSpananditsfurtherextensions,suchasgSpanforminingstructuredpatterns.Inthisstudy,weperformasystematicintroductionandpresentationofthepattern-growthmethodologyandstudyitsprinciplesandextensions.Wefirstintroducetwointerestingpattern-growthalgorithms,FreeSpanandPrefixSpan,forefficientsequentialpatternmining.ThenweintroducegSpanforminingstructuredpatternsusingthesamemethodology.Theirrelativeperformanceinlargedatabasesispresentedandanalyzed.Severalextensionsofthesemethodsarealsodiscussedinthepaper,includingminingmulti-level,multi-dimensionalpatternsandminingconstraint-basedpatterns.

简介：在日常生活，人们经常在某些时期重复常规线路。在这篇论文，一个采矿系统被开发经过旅行发现个人的连续线路模式。数个人动人的地位的差异的无异状，采矿系统采用记录的适应GPS数据，五个数据过滤保证clean使数据犯错。采矿系统使用客户机/服务器体系结构保护个人隐私并且减少计算负担。服务者进行主要采矿过程，但是与到recover的不够的信息，真实个人发送。改进顺序的模式采矿的可伸缩性的无异状，一个新奇模式采矿算法，连续线路模式采矿(CRPM)，被建议。这个算法能容忍在真实线路和摘录的不同骚乱经常的模式。基于九个人的旅行表演，那CRPM能更长多于twotimes提取的试验性的结果比传统的线路模式采矿算法发送模式。

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简介：Someresearchers,runninginstructors,andcoacheshavesuggestedthatthe'optimal'footstrikepatterntoimproveperformanceandreducerunninginjuriesistolandusingamid-orforefootstrike.Thus,ithasbeenrecommendedthatrunnerswhousearearfootstrikewouldbenefitbychangingtheirfootstrikealthoughthereislittlescientificevidenceforsuggestingsuchachange.Therearfootstrikeisclearlymoreprevalent.Themajorreasonsoftengivenforchangingtoamid-orforefootstrikeare(1)itismoreeconomical;(2)thereisareductionintheimpactpeakandloadingrateoftheverticalcomponentofthegroundreactionforce;and(3)thereisareductionintheriskofarunning-relatedinjuries.Inthispaper,wecritiquethese3suggestionsandprovidealternateexplanationsthatmayprovidecontradictoryevidenceforalteringone'sfootstrikepattern.Wehaveconcluded,basedonexaminingtheresearchliterature,thatchangingtoamid-orforefootstrikedoesnotimproverunningeconomy,doesnoteliminateanimpactatthefoot-groundcontact,anddoesnotreducetheriskofrunning-relatedinjuries.

简介：Reaction-diffusion(RD)equationwasoftenusedtoinvestigatethepatterndynamics,buttelegraphreaction-diffusion(TRD)systemwasseldomstudied.Inthispaper,theIzhikevichmodelwasmodifiedtoexplainsomebiologicalmechanismsbyRDandTRDinneuronalcluster.Thenanewconditionunderwhichthesystemlosesstabilitywasproposedandtheeffectofparameters,diffusion,memoryandsteadystatewereconsideredontheprocessofneuronalspiking.Themethodpresentedisanovelapproachtoinvestigatethepatterndynamicsofbiologicalsystems.Finally,simulationsarecarriedouttovalidateourtheoreticalresults.

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简介：Expo2010ShanghaiChinawasasuccessful,splendid,andunforgettableevent,leavinguswithvaluableexperi-ences.ThevisitorflowpatternoftheExpoisinvestigatedinthispaper.TheHurstexponent,themeanvalue,andthestandarddeviationofvisitorvolumeindicatethatthevisitorflowisfractalwithlong-termstabilityandcorrelationaswellasobviousfluctuationinashortperiod.Thenthetimeseriesofvisitorvolumeisconvertedintoacomplexnetworkbyusingthevisibilityalgorithm.Itcanbeinferredfromthetopologicalpropertiesofthevisibilitygraphthatthenetworkisscale-free,small-world,andhierarchicallyconstructed,confirmingthatthetimeseriesarefractalandacloserelationshipexistsamongthevisitorvolumesondifferentdays.Furthermore,itisinevitablethatwillbesomeextremevisitorvolumesintheoriginalvisitorflow,andtheseextremepointsmayappearinagrouptoagreatextent.Allthesepropertiesarecloselyrelatedtothefeatureofthecomplexnetwork.Finally,therevisedlinearregressionisperformedtoforecastthenext-dayvisitorvolumebasedontheprevious10-daydata.

简介：Threebasicelementsstandoutintheinternationalpattern:globalpowerdistribution,thesystemofinternationalnorms,andthetransnationalvaluesystems,allofwhichareofvitalimportanceintheinteractionbetweenChina’sriseandthefutureinternationalpattern.First,theprospectsforSino-U.S.relationsinthefaceofapower

简介：AIM:Toevaluatewhetherglaucomatousvisualfielddefectparticularlythepatternstandarddeviation(PSD)ofHumphreyvisualfieldcouldbeassociatedwithvisualevokedpotential(VEP)parametersofpatientshavingprimaryopenangleglaucoma(POAG).METHODS:VisualfieldbyHumphreyperimetryandsimultaneousrecordingsofpatternreversalvisualevokedpotential(PRVEP)wereassessedin100patientswithPOAG.ThestimulusconfigurationforVEPrecordingsconsistedofthetransientpatternreversalmethodinwhichablackandwhitecheckerboardpatternwasgenerated(fullfield)anddisplayedonVEPmonitor(colour14')byanelectronicpatternregeneratorinbuiltinanevokedpotentialrecorder(RMSEMGEPMARKII).RESULTS:Theresultsofourstudyindicatethatthereisahighlysignificant(P<0.001)negativecorrelationofP100amplitudeandastatisticallysignificant(P<0.05)positivecorrelationofN70latency,P100latencyandN155latencywiththePSDofHumphreyvisualfieldinthesubjectsofPOAGinvariousagegroupsasevaluatedbyStudent’st-test.CONCLUSION:ProlongationofVEPlatenciesweremirroredbyacorrespondingincreaseofPSDvalues.Conversely,asPSDincreasesthemagnitudeofVEPexcursionswerefoundtobediminished.

简介：Therelationshipbetweentheauroralovalpattern,i.e.,location,size,shape,andintensity,andtheauroralelectrojetactivityindex(AEindex)isstudied.Itisfoundthatthemaximalauroralintensityisellipticallydistributed,andthelengthsofsemimajorandsemiminoraxesarepositivelycorrelatedtoAE.TheintensityalongthenormaloftheauroralovalcanbesatisfyinglydescribedbyaGaussiandistribution,andthemaximumandthefullwidthathalfmaximumoftheGaussiandistributionarebothpositivelycorrelatedtoAE.Basedonthesestatisticalresults,aseriesofexperimentalformulasasafunctionofAEaredevelopedtocalculatethelocation,size,shape,andintensityoftheauroraloval.TheseformulasarevalidatedbytheauroralimagesreleasedbySWPC/NOAA.

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简介：Weextendsomefundamentalconceptsofqualitativematrixanalysisfromsignpatternclassesofrealmatricestosignpatternclassesofnonrealmatrlces.Giventwoanglesα≤β,wedefineasectorinthecomplexplanetobethesetofallnonzerocomplexnumberswhoseargumentsareintheintervalfromαtoβ.Hα<β,theintervalcouldbeclosed,open,orhalf-open.Wheneverα=β,thesectorbecomesaray,

简介：Withtherapiddevelopmentofbraincomputerinterface(simplycalledBCI),electroencephalography(EEG)willbeanotherinterestingbio-electricalsignalappliedinroboticsafterEMG.Inordertorealizeitfinally,theaccuratemeasurementandpatternrecognitionofEEGsignalmustbeaveryimportantandelementaryresearchobjective.Basedonourcurrentresearchesandsomereportsfromtheotherinternationalcolleaguesinthefield,wedeeplydiscussthebasiccharacteristicsofEEGsignal,thedevelopmentandselectionofEEGmeasurementsystem,featureextractionandrecognitionmethodsofEEGsignal,andthenreviewEEG'sapplicationsinroboticsaswellasthefutureresearchtrendsinthispaper.

简介：在这篇论文，为综合的一个有效系统任意的多角形的表面上的动物皮肤模式被开发。完成这项任务，同种细胞的马赛克(厘米)模型启发的一个系统被建议。厘米模型在任意的表面上模仿房间的反应。由控制部门，变化；房间的排斥，房间的调整空间安排被形成。细胞的这安排显示出呼吁的结果，它是可比较的，那些自然模式从动物皮肤观察了。然而，一个典型厘米模拟过程招致高计算的费用，在在越过多角形的表面的房间之中的距离被测量的地方；房间的运动在表面上被抑制。在这个框架，一条途径被建议转变每进它的正规参考面的表面的几何飞机组织的原来的3D。这结构帮助简化3D计算问题进一个更可管理的2D问题。而且，局部松弛的概念被开发最佳地为典型厘米模拟提高松弛过程。建议解答方法的表演与广泛的试验性的结果被验证了。

简介：Thispaperproposesasupervisedtraining-testmethodwithGeneticProgramming(GP)forpatternclassification.Comparedandcontrastedwithtraditionalmethodswithregardtodeterministicpatternclassifiers,thismethodistrueforbothlinearseparableproblemsandlinearnon-separableproblems.Forspecifictrainingsamples,itcanformulatetheexpressionofdiscriminatefunctionwellwithoutanypriorknowledge.Atlast,anexperimentisconducted,andtheresultrevealsthatthissystemiseffectiveandpractical.

简介：China’s ,China,China. 

简介：Theglobalfinancialcrisishasledtoprofoundevolutionoftheinternationalpattern.Themomentumtowardamultipolarworldandeconomicglobalizationisstrongandthetrendtowardgreaterbalanceofglobalpowers

简介：Visualfiredetectiontechnologiescandetectfireandalarmwarningsearlierthanconventionalfiredetectors.Thisstudyproposesaneffectivevisualfiredetectionmethodthatcombinesthestatisticalfirecolormodelandsequentialpatternminingtechnologytodetectfireinanimage.Furthermore,theproposedmethodalsosupportsreal-timefiredetectionbyintegratingadaptivebackgroundsubtractiontechnologies.Experimentalresultsshowthattheproposedmethodcaneffectivelydetectfireintestimagesandvideos.ThedetectionaccuracyoftheproposedhybridmethodisbetterthanthatofCelik’smethod.