简介：AsaresultofdiscussionswithintheHEPcommunity,wehavewrittenaC++packagewhichcanbeusedtomaintainatableofparticleproperties,includingdecaymodeinformation.Theclassesallowformultipletablesandacceptinpufromanumberofstandardsources,Inaddition,Theyprovideamechanismbywhichaneventgeneratorcanemploythetabulatedinformationtoactuallydirectthedecayofparticles.

简介：Iterativealgorithmsforsolvingthedataassimilationproblemsareconsidered，basedonthemainandadjointequations.Spectralpropertiesofthecontroloperatorsoftheproblemarestudied,theiterativealgorithmsarejustified.

简介：ＵｐｇｒａｄｅｏｆＧｏｏｓｙＤａｔａＡｃｑｕｉｓｉｔｉｏｎＳｙｓｔｅｍ￥ＷａｎｇＳｈｕｊｉｎ；ＷａｎｇＹａｎｙｕ；ＸｉｎｇＪｉａｎｐｉｎｇ；ＧｕｏＴｉａｎｒｕｉａｎｄＪｉａｏＤｕｎｐａｎｇＡｄａｔａａｃｑｕｉｓｉｔｉｏｎｓｙｓｔｅｍｎａｍｅｄＧｏｏｓ...

简介：Spatialapplicationswillgainhighcomplexityasthevolumeofspatialdataincreasesrapidly.Asuitabledataprocessingandcomputinginfrastructureforspatialapplicationsneedstobeestablished.Overthepastdecade,gridhasbecomeapowerfulcomputingenvironmentfordataintensiveandcomputingintensiveapplications.Integratinggridcomputingwithspatialdataprocessingtechnology,theauthorsdesignedaspatialdataprocessinggrid(calledSDPG)toaddresstherelatedproblems.RequirementsofspatialapplicationsareexaminedandthearchitectureofSDPGisdescribedinthispaper.KeytechnologiesforimplementingSDPGarediscussedwithemphasis.

简介：在自然、社会的科学的许多实际系统能被动态网络描述。一天一天地，我们测量了并且从这些网络积累了数据的巨大的数量，它能被我们使用推进我们世界的理解。生产这些数据的网络的结构经常是未知的。因而，从可得到的数据理解这些网络的结构转弯是学科交差的域里的中央问题之一，它被称为网络重建问题。在这份报纸，我们用数据可获得性不为常规网络重建是足够的部分可得到的数据和一些状况考虑了网络重建的问题。而且，我们建议与仅仅可得到的子网和隐藏的全部网络的另外的节点的数据推断子网；与一些可得到的节点变量的一般水准在网络描绘组组相互作用；并且网络被未知内部快变化的噪音和未知外部慢慢地变化的信号驾驶仅仅，与节点变量的已知的数据执行网络重建。所有这些状况被期望在实际系统和方法普通，结果可能为真实世界应用是有用的。

简介：TheBaBardataacquisitionsystem(DAQ)transportsdatafromthedetectorfrontendeletronicstoshorttermdiskstorage.Amonitoringapplication(VMON)hasbeendevelopedtomonitortheonehundredandninetycomputersinthedataflowsystem.PerformanceinformationforeachCPUiscollectedandmulticastacrosstheexistingdatatransportnetwork.ThepacketsarecurrentlycollectedbyasingleUNIXworkstationandarchived.AROOTbasedGUIprovidescontrolanddisplaystheDAQperformanceinrealtime.ThesameGUIisreusedtorecoverarchivedVMONdata,VMONhasbeendeployedandconstantlymonitorstheBaBardataflowsystem.Ithasbeenusedfordiagnosticsandprovidesinputtomodelsprojectingfutureperformance.Theapplicationhasnomeasurableimpactondatataking,respondsinstantaneouslyonthehumantimescaletorequestsforinformationdisplay,andusesonly3%ofa300MHzSunUltra5CPU.

简介：TheCDFexperimentstarteddatatakinginApril2001,Thedataareorganizedintodatasetswhichcontaineventsofsimilarphysicspropertiesandreconstructionversion.theinformationaboutdatasetsisstoredintheDataFileCatalog,arelationaldatabase.Thisinformationispresentedtothedataprocessingframeworkasobjectswhichareretrievedusingcompoundkeys.Theobjectsandthekeysaredesignedtobethealgorithms'viewofinformationstoredinthedatabase.ObjectsmayuseseveralDBtables.Adatabaseinterfacemanagementlayerexistsforthepurposeofmanagingthemappingofpersistentdatatotransientobjectsthatcanbeusedbytheframework.Thislayerexistsbetweenthealgorithmcodeandthecodewhichreadsdirectlyfromdatanbasetables.Attheuserend,itplacesget/putinterfaceonatopofatransientclassforretrievalorstorageofobjectsofthisclassusingakey.DataFileCatalogcodemakesuseofthisfacilityandcontainsallthecodeneededtomanipulateCDFDataFileCatalogfromaC++programorfromthecommandprompt,ItsupportsanOracleinterfaceusingOTL,andamSQLinterface,ThiscodeandtheOravcleimplementationofDataFileCatalogweresubjectedtotestduringCDFCommissioningRunlastfallandduringfirstweeksofRunIIinApril.Itperformedexceptionallywell.

简介：Objective:Establishnormativedatafortympanicelectrocochleography(TMECochG)parametersinnormalhearingadultswithoutMeniere'sdisease's(MD)symptoms.DescribeTMECochGvariablesthathelptodistinguishnormalfromMDears.Materialandmethods:Weenrolled100subjects(N?200ears),59females,agedbetween19and71yearsfrom09/2010to04/2014.Inclusioncriteria:normalotomicroscopy,hearingthresholds25dBnHLfrom250to4000Hz,normaltympanogram,nosymptomsofMDaccordingtotheAAO-HNS1995criteriaandGibson'sscore<7.Weexcludedsubjectswithdizziness,auralfullnessorothersymptomsofendolymphatichydrops.Thefollowingparameterswereanalyzed:SP/APamplituderatio,SP/AParearatioandthedifferencebetweenAPlatencywithrarefactionandcondensationstimuli.Results:Therewasnosignificantdifferencebetweenrightandleftears(Intraclasscorrelationcoefficient<0.6).SP/APamplituderatiovariedbetween0.084and0.356andSP/AParearatiobetween0.837and1.671(percentiles5and95).TheAPlatencydifferencetorarefactionandcondensationclickswasbetween0.0and0.333ms.Conclusion:NormativedataforTMECochGparameterswereestablishedin100normalhearingsubjectswithoutMD.Thesedatacanbeusedtodistinguishnormalfrompathologicalfindingsandinfollow-upofMDpatients.

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简介：

简介：赛门铁克于近期宣布了一个绝无仅有的融合式解决方案，其可促进企业在跨异质化应用程序、数据库、服务器与存储的平台间于一致的基础架构软件上进行标准化。

简介：Dataclusteringisasignificantinformationretrievaltechniqueintoday’sdataintensivesociety.Overthelastfewdecadesavastvarietyofhugenumberofdataclusteringalgorithmshavebeendesignedandimplementedforallmostalldatatypes.Thequalityofresultsofclusteranalysismainlydependsontheclusteringalgorithmusedintheanalysis.Architectureofaversatile,lessuserdependent,dynamicandscalabledataclusteringmachineispresented.Themachineselectsforanalysis,thebestavailabledataclusteringalgorithmonthebasisofthecredentialsofthedataandpreviouslyuseddomainknowledge.Thedomainknowledgeisupdatedoncompletionofeachsessionofdataanalysis.

简介：数据熔化，新研究域，是现代信息技术和许多另外的题目的集成和扩展。数据熔化概念被介绍，Dempster-Shafer证据推理被描述并且适用于油和煤气的察觉。方法的一个例子用数字模拟数据被显示出。处理结果显示数据熔化方法能广泛地在烃察觉被使用。

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简介：GPS运动学的搬运人阶段大小能被用来决定七个尺寸状态和一个动的搬运人的三个态度参数，例如一架飞机或一只lowearth轨道太空船，一条天线在上被安装收到GPS信号。自从1994，在动的环境的GPS搬运人阶段大小为点高度为二个维的位置和卤18.1cm获得了卤7.9cm的外部精确性，这在中国从摄影测量学的在空中的GPS测试结果被知道。这份报纸与multireference车站描述在空中的GPS搬运人阶段大小并且讨论怎么评估GPS运动学的数据的信心。

简介：WehavedevelopedadataobjectdescriptiontoolsuiteandserviceforAthenaconsistingof:alanguagegrammarbaseduponanextendedpropersubsetofIDL2.0,acompilerfrontendbaseduponthislanguagegrammar,JavaCC,andaJavaReflectionAPI-likeinterface,andseveralcompilerbackendswhichmeetspecificneedsinATLASsuchasautomaticgenerationofobjectconvertersanddataobjectscriptinginterfaces.WepresentheredetailsofourworkandexperiencetodateontheAthenaDefinitionLanguageandAthenaDataDictionary.

简介：TheD0experiment'sdataandjobmanagementsystemsoftware,SAM,isanoperationalprototypeofmanyoftheconceptsbeingdevelopedforGridcomputing.WeexplainhowthecomponentsofSAMmapintotheDataGridarchitecture,WediscussthefutureuseofGridcomponentstoeitherreplaceexistingcomponentsofSAMortoextenditsfunctionalityandutility.owrkbeingcarriedoutaspartoftheParticlePhysicsDataGrid(PPDG)project.

简介：作为南极洲以曾经增加的率正在被收集并且创造的数字数据，为研究的这些数据的实用性，GIS分析并且计划一直在增加。当前没有正式标准让这些数据集相遇，它在从不同来源集成数据引起困难。从科学家和研究人员的反馈是那以便在他们需要存取两个的基本、基本的数据集上执行任何种GIS分析：standardised和综合数据和在本地化的区域(一个数据图书馆)的鈥榬aw鈥?数据(一个数字数据产品)。起来直到现在，没有协调途径或程序获得，或甚至存取基本数据集。南极地理数据集成(AGDI)工程在附近都一起带它，也就是说通过一个数据产品和一个数据图书馆为南极洲便于综合基本GIS数据的可获得性。这篇论文描述AGDI是什么，为什么有它，它的目的是什么，AGDI和各种各样的工程的地位的不同部件上的细节在基本数据集的收集包含了。什么可以发生在AGDI开发和一个未来工作节目身上，简短也构画出。

简介：Acompressionalgorithmisproposedinthispaperforreducingthesizeofsensordata.Byusingadictionary-basedlosslesscompressionalgorithm,sensordatacanbecompressedefficientlyandinterpretedwithoutdecompressing.Thecorrelationbetweenredundancyofsensordataandcompressionratioisexplored.Further,aparallelcompressionalgorithmbasedonMapReduce[1]isproposed.Meanwhile,datapartitionerwhichplaysanimportantroleinperformanceofMapReduceapplicationisdiscussedalongwithperformanceevaluationcriteriaproposedinthispaper.Experimentsdemonstratethatrandomsamplerissuitableforhighlyredundantsensordataandtheproposedcompressionalgorithmscancompressthosehighlyredundantsensordataefficiently.

简介：Onthebasisofananalysisoftheerrorsourcesinmultibeamechosoundingsystem,adataprocessingmethodforcompensatingsystematicerrorsinmultibeamsurveyisproposed.Inordertoimprovetheaccuracyofoverallswath,adatafusiontechniqueusingsinglebeamsurveydataascontrolinformationforsinglebeamandmultibeamechosoundingisthenpresented.Somequestionsinvolvedinsolvingtheadjustmentproblem,suchasitsfeasibilityandthenumericalstability,arediscussedindetail,andatwo-stepadjustmentmethodissuggested.Finally,apracticalsurveydatasetisusedasacasestudytoprovetheefficiencyandreliabilityoftheproposedmethods.