简介：Researchandapplicationofbigdatamining,atpresent,isahotissue.Thispaperbrieflyintroducesthebasicideasofbigdataresearch,analysesthenecessityofbigdataapplicationinearthquakeprecursorobservation,andprobescertainissuesandsolutionswhenapplyingthistechnologytoworkintheseismic-relateddomain.Bydoingso,wehopeitcanpromotetheinnovativeuseofbigdatainearthquakeprecursorobservationdataanalysis.

简介：SNDisasphericalnon-magneticdetector,whichoperatedsince1996atVEPP-2Melectron-positroncolliderinNovosibirsk.NowVEPP-2McolliderisdismantledtobereplacedbyanewVEPP-2000machinewithhigherenergyandluminosity.TheSNDdetectorisalsoperformingupgradeofitssubsystemsincludingelectronics,andsoftware,ExpectedsubstantialgrowthofeventsdataflowrequiresradicalchangesintheDataAcquisition(DAQ)systemsoftware.ThispaperdescribestheSND2000softwarearchitecrureanditsprincipalcomponents.Firstthemaineventsflowprocessuingcomponentsareconsidered-thereadoutprocessandtheL3-triggerfarm.AfterprocessingbyL3theeventsflowiseitherloggedtotapeorfedtocalibrationandslowcontrolprocess.Usingauxiliarycontrolandservicesoftwarecomponents,whicharealsodescribed.performsthemanagementoftheseactivities.

简介：Anewmethodisproposedforidentifyingoutliersinthedirection-of-arrival（DOA）dataofasourceobservedfromalineararraysonar.Supposeasourcemovesuniformlyalongastraightline.Themethodforidentifyingoutliersconsistsofthreesteps.（i）Dividethedataintogroups,eachwithfoursamplepoints,anddeletecertaintwosamplepointsfromeverygroupbymeansofarobustmethodpesentedinthispaper.Whenthepercentageoftheoutliersislessthan50%,thereexistsatleastonegroupinwhichtheremainingtwosam-plepointsare"good".（ii）EstimatetheDOAanditsChangerate,（θ0,θ0）,usingtheremainingtwosimplepointsofeverygroup,andcomputetheobjectivefunctionsofM-etsimatorusingtheresultingestimatesofallgroupsrespectively.A"good"estimateof（θ0,θ0）,whichminmizestheobjec-tivefunctionisthenobtained.（iii）IteratetheM-estimatorwiththe"good"esti-mateof（θ0,θ0）astheinitialvalue,obtainanaccurateestimateof（θ0,θ0）,andidentifyoutliersintheobserveddatausi

简介：AmajoroverheadinsoftwareDSM(DistributedSharedMemory)isthecostofremotememoryaccessesnecessitatedbytheprotocolaswellasinducedbyfalsesharing.ThispaperintroducesadynamicprefetchingmethodimplementedintheJIAJIAsoftwareDSMtoreducesystemoverheadcausedbyremoteaccesses.TheprefetchingmethodrecordstheinterleavingstringofINV(invalidation)andGETP(gettingaremotepage)operationsforeachcachedpageandanalyzestheperiodicityofthestringwhenapageisinvalidatedonalockorbarrier.AprefetchingrequestisissuedafterthelockorbarrieriftheperiodicityanalysisindicatesthatGETPwillbethenextoperationinthestring.Multipleprefetchingrequestsaremergedintothesamemessageiftheyaretothesamehost,Performanceevaluationwitheightwell-acceptedbenchmarksinaclusterofsixteenPowerPCworkstationsshowsthattheprefetchingschemecansignificantlyreducethepagefaultoverheadandasaresultachievesaperformanceincreaseof15%-20%inthreebenchmarksandaround8%-10%inanotherthree.Theaverageextratrafficcausedbyuselessprefetchesisonly7%-13%intheevaluation.

简介：在在一个差错地区和包围岩石的材料之间的大性质对比被重复地震经常生产。差错地区被液体集中，充满泥土的差错凿，增加的孔，和膨胀裂缝通常描绘。因此，差错地区被认为比包围岩石减少了地震速度。在这篇文章，我们首先由使用3D越过一个垂直差错地区在一个线性数组调查了合成波形有限差别模拟。合成波形看那来源什么时候接近，在内，或在差错地区，两到达时间和P波浪和S波浪的波形下面从低速度的差错地区的边界由于思考和传播越过差错地区系统地变化。到达时间模式和波形特征能被用来决定差错地区结构。然后，我们把这个方法用于1992登陆者M7.4和2008Wenchuan的余震波形数据()M8.0地震。登陆者波形数据相对近似35%60%的主人岩石与近似270-370m，和P波浪和S波浪速度减小的宽度揭示一个低速度的地区；Wenchuan波形数据与约220300m的宽度建议一个低速度的地区，并且P波浪和S波浪速度相对约55%的主机岩石落下。

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简介：Approximatequeryprocessinghasemergedasanapproachtodealingwiththehugedatavolumeandcomplexqueriesintheenvironmentofdatawarehouse.Inthispaper,wepresentanovelmethodthatprovidesapproximateanswerstoOLAPqueries.Ourmethodisbasedonbuildingacompressed(approximate)datacubebyaclusteringtechniqueandusingthiscompresseddatacubetoprovideanswerstoqueriesdirectly,soitimprovestheperformanceofthequeries.WealsoprovidethealgorithmoftheOLAPqueriesandtheconfidenceintervalsofqueryresults.AnextensiveexperimentalstudywiththeOLAPcouncilbenchmarkshowstheeffectivenessandscalabilityofourcluster-basedapproachcomparedtosampling.

简介：Themultibeamsonarscanprovidehydrographicqualitydepthdataaswellasholdthepotentialtoprovidecalibratedmeasurementsoftheseaflooracousticbackscatteringstrength.Therehasbeenmuchinterestinutilizingbackscattersandimagesfrommultibeamsonarforseabedtypeidentificationandmostresultsareobtained.Thispaperhaspresentedafocusedreviewofseveralmainmethodsandrecentdevelopmentsofseafloorclassificationutilizingmultibeamsonardataor/andimages.Theseareincludingthepowerspectralanalysismethods,thetextureanalysis,traditionalBayesianclassificationtheoryandthemostactiveneuralnetworkapproaches.

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简介：为测地学的应用研究VLBI的潜力的意思被总结。并且观察模型和他们测地学的兴趣的相关参数被调查。然后，在VLBI数据处理使用随机的模型的原则和方法被调查。与从2000鈥?的全世界的VLBI数据004，计算测地学的兴趣的参数的条件被介绍，那么是计算方法和进程。并且测地学的兴趣的参数的计算结果被分析。

简介：一个精确的宏速度模型的评价在地震成像和模型参数倒置起一个重要作用。完整的波形倒置(FWI)是古典数据域倒置方法。然而，FWI的不合身的衣服功能是高度非线性的，并且本地优化不能向本地最小阻止不合身的衣服功能的集中。收敛到全球最小，FWI需要一个好起始的模型或可靠低频率部件和长偏移量数据。在这篇文章，我们在场一个wave-equation-based思考traveltime断层摄影术(WERTT)方法，它能为FWI提供一个好背景模型(起始的模型)并且(最少平方)预先叠深度移植(LS-PSDM)。首先，速度模型被分解成一个low-wavenumber部件(背景速度)和一个high-wavenumber部件(反射率)。第二，主要思考波浪被波浪方程demigration预言，并且思考traveltime由一个自动的拣方法是计算的。最后，思考traveltime剩余的l2标准的不合身的衣服功能被一个基于坡度的方法最小化。建议方法能转换的数字测试表演一个好背景模型，它能为LS-PSDM或FWI被用作一个起始的模型。

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简介：Inthispaper,anewbiasestimationmethodisproposedandappliedinaregionalensembleKalmanfilter(EnKF)basedontheWeatherResearchandForecasting(WRF)Model.Themethodisbasedonahomogeneouslinearbiasmodel,andthemodelbiasisestimatedusingstatisticsateachassimilationcycle,whichisdifferentfromthestateaugmentationmethodsproposedinpreviousliteratures.Thenewmethodprovidesagoodestimationforthemodelbiasofsomespecificvariables,suchassealevelpressure(SLP).AseriesofnumericalexperimentswithEnKFareperformedtoexaminethenewmethodunderasevereweathercondition.Resultsshowthepositiveeffectofthemethodontheforecastingofcirculationpatternandmeso-scalesystems,andthereductionofanalysiserrors.ThebackgrounderrorcovariancestructuresofsurfacevariablesandtheeffectsofmodelsystembiasonEnKFarealsostudiedundertheerrorcovariancestructuresandanewconcept‘correlationscale’isintroduced.However,thenewmethodneedsfurtherevaluationwithmorecasesofassimilation.

简介：TheCDFcollaborationattheFermilabTevatronanalysesproton-antiprotoninteractionsatacenter-of=massenergyof2TeV.duringthethecolliderrunstartingthisyeartheexperimentexpectstorecord1Petabyteofdataandassociateddatasamples,TheDataHandling(DH)systemhasonlineandofflinecomponents.TheDHofflinecomponentprovidesaccesstothestoreddata,tostoredreconstructionoutput,tostoredMonte-Carlodatasamples,anduserowneddatasamples.Itservesmorethan450physicistsofthecollaboration.TheextrarequirementstotheofflinecomponentoftheDataHandlingsystemaresimplicityandconvenienceforusers.Morethan50millioneventsoftheCDFRunIIdatahavebeenalreadyprocessedusingthissystem.

简介：有与采样为非线性的系统的一个类活跃骚乱拒绝控制(ADRC)调节的参数的担心快不足够评估的这份报纸。理论结果显示出在采样率之间的量的关系，ADRC的参数，在系统和靠近环的系统的性质的无常的尺寸。而且，在给定的采样率下面的样品数据ADRC的能力是讨论的份量上。

简介：ThelongtermaccessibilityofitsdataisanimportantconcernoftheDELPHIcollaboration.Itisourassumptionthatthestorageofthedataitselfwillbeaminorissueduetotheprogressinstoragetechnologies.ThereforeDELPHIfocusesonareorganisationofthedata,whichshouldprovideaflexibleandcoherentframeworkforphysicsanalysisinthefuture.ThispaperdescribesthecurrentstatusoftheIDEA(ImprovedDElphiAnalysis)projectwhichwillensureusabilityofDELPHIdataforfuturegenerationsofphysicists.

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简介：复杂地球物理的数据的倒置总是解决多参数，非线性、多模式的优化问题。寻找最佳的倒置答案类似于当寻找食物时，在象鸟和蚂蚁那样的群观察的社会行为。在这篇文章，首先，粒子群优化算法详细被描述，并且蚂蚁殖民地算法改善了。然后，方法被用于地球物理的倒置问题的三种不同类型：(1)对噪音敏感的一个线性问题，(2)线性、非线性的问题的同步倒置，并且(3)一个非线性的问题。结果验证他们的可行性和效率。与常规基因算法相比并且退火模仿，他们有更高的集中速度和精确性的优点。与伪相比--牛顿方法和Levenberg-Marquardt方法，他们与克服局部地最佳的答案的能力更好工作。

简介：Adatawarehouseoftenaccommodatesenormoussummaryinformationinvariousgranularitiesandismainlyusedtosupporton-lineanalyticalprocessing.Ideallyalldetaileddatashouldbeaccessiblebyresidinginsomelegacysystemsoron-linetransactionprocessingsystems.Inmanycases,however,datasourcesincomputersarealsokindsofsummarydataduetotechnologicalproblemsorbudgetlimitsandalsobecausedifferentaggregationhierarchiesmayneedtobeusedamongvarioustransactionsystems.Insuchcircumstances,itisnecessarytoinvestigatehowtodesigndimensions,whichplayamajorroleindimensionalmodelforadatawarehouse,andhowtoestimatesummaryinformation,whichisnotstoredinthedatawarehouse.Inthispaper,theroughsettheoryisappliedtosupportthedimensiondesignandinformationestimation.