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

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：Withmassiveamountsofdatastoredindatabases,mininginformationandknowledgeindatabaseshasbecomeanimportantissueinrecentresearch.Researchersinmanydifferentfieldshaveshowngreatinterestindateminingandknowledgediscoveryindatabases.Severalemergingapplicationsininformationprovidingservices,suchasdatawarehousingandon-lineservicesovertheInternet,alsocallforvariousdataminingandknowledgediscoverytchniquestounderstandusedbehaviorbetter,toimprovetheserviceprovided,andtoincreasethebusinessopportunities.Inresponsetosuchademand,thisarticleistoprovideacomprehensivesurveyonthedataminingandknowledgediscorverytechniquesdevelopedrecently,andintroducesomerealapplicationsystemsaswell.Inconclusion,thisarticlealsolistssomeproblemsandchallengesforfurtherresearch.

简介：Thisresearchtakestheviewthatthemodellingoftemporaldataisafundamentalsteptowardsthesolutionofcapturingsemanticsoftime.Theproblemsinherentinthemodellingoftimearenotuniquetodatabaseprocessing.Therepresentationoftemporalknowledgeandtemporalreasoningarisesinawiderangeofotherdisciplines.Inthispaperanaccountisgivenofatechniqueformodellingthesemanticsoftemporaldataanditsassociatednormalizationmethod.ItdiscussesthetechniquesofprocessingtemporaldatabyemployingaTimeSequence(TS)datamodel.Itshowsanumberofdifferentstrategieswhichareusedtoclassifydifferentdatapropertiesoftemporaldata,anditgoesontodevelopthemodeloftemporaldataandaddressesissuesoftemporaldataapplicationdesignbyintroducingtheconceptoftemporaldatanormalisation.

简介：Page-basedsoftwareDSMsystemssufferfromfalsesharingcausedbythelargesharinggranularity,andonlysupportone-dimensionBlockorCyclicblockdatadistributionschemes,Thusapplicationsrunningonthemwillsufferfrompoordatalocalityandwillbeabletoexploitparallelismonlywhenusingalargenumberofprocessors,Inthispaper.awaytowardssupportingflexibledatadistribution(FDD)onsoftwareDSMsystemispresented.Smallgranularity-tunableblocks,thesizeofwhichcanbesetbycompilerorprogrammer,areusedtooverlaptheworkingdatasetsdistributedamongprocessors.TheFDDwasimplmentedonasoftwareDSMsystemcalledJIAJIA.ComparedwithBlock/Cyclic-blockdistributionschemesusedbymostDSMsystemsnow,experimentsshowthattheproposedwayofflexibledatadistributionismoreeffective.Theperformanceoftheapplicationsusedintheexperimentsissignificantlyimproved.

简介：Thispaperpresentsanewefficientalgorithmforclusteringcategoricaldata,Squeezer,whichcanproducehighqualityclusteringresultsandatthesametimedeservegoodscalability.TheSqueezeralgorithmreadseachtupletinsequence,eitherassigningttoanexistingcluster(initiallynone),orcreatingtasanewcluster,whichisdeterminedbythesimilaritiesbetweentandclusters.Duetoitscharacteristics,theproposedalgorithmisextremelysuitableforclusteringdatastreams,wheregivenasequenceofpoints,theobjectiveistomaintainconsistentlygoodclusteringofthesequencesofar,usingasmallamountofmemoryandtime.OutlierscanalsobehandledefficientlyanddirectlyinSqueezer.Experimentalresultsonreal-lifeandsyntheticdatasetsverifythesuperiorityofSqueezer.

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简介：Inthispaper,ARMiner,adataminingtoolbasedonassociationrules,isintroduced.Beginningwiththesystemarchitecture,thecharacteristicsandfunctionsaredis-cussedindetails,includingdatatransfer,concepthierarchygeneralization,miningruleswithnegativeitemsandthere-developmentofthesystem.Anexampleofthetool'sapplicationisalsoshown.Finally,someissuesforfutureresearcharepresented.

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

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

简介：Thispaperdescribesanimmersivesystem,called3DIVE,forinteractivevolumedatavisualizationandexplorationinsidetheCAVEvirtualenvironment.Combininginteractivevolumerenderingandvirtualrealityprovidesanaturalimmersiveenvironmentforvolumetricdatavisualization.Moreadvanceddataexplorationoperations,suchasobjectleveldatamanipulation,simulationandanalysis,aresupportedin3DIVEbyseveralnewtechniques.Inparticular,volumeprimitivesandtextureregionsareusedfortherendering,manipulation,andcollisiondetectionofvolumetricobjects;andtheregion-basedrenderingpipelineisintegratedwith3Dimagefilterstoprovideanimage-basedmechanismforinteractivetransferfunctiondesign.ThesystemhasbeenrecentlyreleasedaspublicdomainsoftwareforCAVE/ImmersaDeskusers,andiscurrentlybeingactivelyusedbyvariousscientificandbiomedicalvisualizationprojects.

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简介：Withseveralricegenomeprojectsapproachingcompletiongeneprediction/findingbycomputeralgorithmshasbecomeanurgenttask.Twotestsetswereconstructedbymappingthenewlypublished28,469full-lengthKOMEricecDNAtotheRGPBACclonesequencesofOryzasativassp.japonica:asingle-genesetof550sequencesandamulti-genesetof62sequenceswith271genes.Thesedatasetswereusedtoevaluatefiveabinitiogenepredictionprograms:RiceHMM,GlimmerR,GeneMark,FGENSHandBGF.Thepredictionswerecomparedonnucleotide,exonandwholegenestructurelevelsusingcommonlyacceptedmeasuresandseveralnewmeasures.Thetestresultsshowaprogressinperformanceinchronologicalorder.Atthesametimecomplementarityoftheprogramshintsonthepossibilityoffurtherimprovementandonthefeasibilityofreachingbetterperformancebycombiningseveralgene-finders.

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简介：艾讯科技非常荣幸向大家介绍最新投放市场的工业平板电脑PANEL1150—675。配备有15．1″TFT高亮度电阻式触摸屏，可扩展2个ISA／PCI槽，8通道DIO连接。此款经典的工业平板电脑PANEL1150～675是一款功能齐备高成效的工业人机介面控制器。

简介：这是一款老少皆宜的休闲益智游戏，很考观察力哦。在游戏中，画面的下方会出现方块、脚丫、星星、月亮、圆圈、雪花等各式各样形状的物体，而玩家需要做的是在规定时间内将这些小东东放在游戏画面上方滚动出现的相应罕格中，当每一行空格都被填满后就会消去，在现定时间内将画面中所有物体消去就算获胜。

简介：Thegeneralconceptofdatacompressionconsistsinremovingtheredundancyexistingindatatofindamorecompactrepresentation.Thispaperisconcernedwithanewmethodofcompressionusingthesecondgenerationwaveletsbasedontheliftingscheme,whichisasimplebutpowerfulwaveletconstructionmethod.Ithasbeenprovedbyitssuccessfulapplicationtoareal-timemonitoringsystemoflargehydraulicmachinesthatitisapromisingcompressionmethod.

简介：Adatastreamisamassiveunboundedsequenceofdataelementscontinuouslygeneratedatarapidrate.Duetothisreason,mostalgorithmsfordatastreamssacrificethecorrectnessoftheirresultsforfastprocessingtime.Theprocessingtimeisgreatlyinfluencedbytheamountofinformationthatshouldbemaintained.Thisissuebecomesmoreseriousinfindingfrequentitemsetsorfrequencycountingoveranonlinetransactionaldatastreamsincetherecanbealargenumberofitemsetstobemonitored.WehaveproposedamethodcalledtheestDecmethodforfindingfrequentitemsetsoveranonlinedatastream.Inordertoreducethenumberofmonitoreditemsetsinthismethod,monitoringthecountofanitemsetisdelayeduntilitssupportislargeenoughtobecomeafrequentitemsetinthenearfuture.Forthispurpose,thecountofanitemsetshouldbeestimated.Consequently,howtoestimatethecountofanitemsetisacriticalissueinminimizingmemoryusageaswellasprocessingtime.Inthispaper,theeffectsofvariouscountestimationmethodsforfindingfrequentitemsetsareanalyzedintermsofminingaccuracy,memoryusageandprocessingtime.

简介：Denovosequencingisoneofthemostpromisingproteomicstechniquesforidentificationofproteinposttranslationmodifications(PTMs)instudyingproteinregulationsandfunctions.WehavedevelopedacomputertoolPRIMEforidentificationofbandyionsintandemmassspectra,akeychallengingproblemindenovosequencing.PRIMEutilizesafeaturethationsofthesameanddifferenttypesfollowdifferentmass-differencedistributionstoseparatebfromyionscorrectly.Wehaveformulatedtheproblemasagraphpartitionproblem.Alinearinteger-programmingalgorithmhasbeenimplementedtosolvethegraphpartitionproblemrigorouslyandefficiently.TheperformanceofPRIMEhasbeendemonstratedonalargeamountofsimulatedtandemmassspectraderivedfromYeastgenomeanditspowerofdetectingPTMshasbeentestedon216simulatedphosphopeptides.

简介：Animprovedself-organizingfeaturemap(SOFM)neuralnetworkispresentedtogeneraterectangularandhexagonallatticwithnormalvectorattachedtoeachvertex.Aftertheneuralnetworkwastrained,thewholescattereddataweredividedintosub-regionswhereclassifiedcorewererepresentedbytheweightvectorsofneuronsattheoutputlayerofneuralnetwork.Theweightvectorsoftheneuronswereusedtoapproximatethedense3-Dscatteredpoints,sothedensescatteredpointscouldbereducedtoareasonablescale,whilethetopologicalfeatureofthewholescatteredpointswereremained.