简介：ThecurrentGIScanonlydealwith2-Dor2.5-Dinformationontheearthsurface.Anew3-Ddatastructureanddatamodelneedtobedesignedforthe3-DGIS.Thispaperanalyzesdiverse3-Dspatialphenomenafromminetogeologyandtheircomplicatedrelations,andproposesseveralnewkindsofspatialobjectsincludingcross-section,columnbodyanddigitalsurfacemodeltorepresentsomespecialspatialphenomenaliketunnelsandirregularsurfacesofanorebody.Anintegrateddatastructureincludingvector,rasterandobject-orienteddatamodelsisusedtorepresentvarious3-Dspatialobjectsandtheirrelations.Theintegrateddatastructureandobject-orienteddatamodelcanbeusedasbasestodesignandrealizea3-Dgeographicinformationsystem.

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

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

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简介：为了更好吸收，推进了初学者运作垂直更健全(ATOVS)发光数据并且为一个数字模型，提供更精确的起始的领域二个偏爱修正计划被采用改正ATOVS发光数据。在二个计划的差别在空气团偏爱修正躺在预言者使用。在计划1使用的预言者都从模型被获得第一猜测，当在计划2的那些来自第一猜测的模型和发光观察时。从二个计划的结果证明在偏爱修正以后，观察剩余变得对Gaussian分布更小、更靠近。为土地和海洋数据集合，从计划1获得的结果类似于从计划2的那些，它显示预言者能在ATOVS数据的偏爱修正被使用。

简介：AnorthogonallymultiplexedQAM(OQAM)systemallowstransmissionspeedtobeveryclosetotheNyquistratewithlittlesensitivitytodelayandsignaldistortionsoftransmissionmediumwhenalargenumberofchannelsareused.Itscircuitcomplexitycanbelargelyovercomebyintroducingdigitalsignalprocessing(DSP)technology,Inthispaper,theimplementationofgroupbanddatamodemusingOQAMtechniqueispresented,whereOQAMsystemisrealizedbymeansofcascadingadiscretecosinetransformer(DCT)andaweightingnetwork.TheproperalgorithmofevaluatingFIRfilterandDCTprovidesfurtherreductionofthecomputationcomplexitywhichdropsto35.6%ofthatofHirosaki'sscheme[5].

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简介：Toimprovedatacacheperformance,optimizingprogramdatalayoutbydatareorganizationhasbecomeanimportantmethodofdecreasingtheimpactofincreasinggapofspeedbetweenprocessorandmemory.Inthisarticle,astructuresplittingframeworkwithananalysismodelnamedstructurefieldrelationgraph(SFRG)ispresentedtooptimizeprogramdatalayout.TheSFRGcanbeusedtoquantifyrelationshipbetweenfields.Ithelpstofindanoptimallayoutforstructureaswellastheoptimalprogramdatalayout.AndthedatacacheperformanceisimprovedthroughSFRG-basedstructuresplitting.Experimentsshowthatthisframeworkiseffectiveinoptimizingprogramdatalayoutandimprovingtheperformanceofdatacacheandwholeprogram.

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简介：Inhigh-energyphysics,terabyteandsoonpetabyte-scaledatacollectionsareemergingascriticalcommunityresources.Anewclassof"DataGrid"infrastructureisrequiredtosupportdistributedaccesstoandanalysisofthesedatasetsbypotentiallythousandsofusers.DataGridtechnologyisbeingdeployedinnumerousexperimentsthroughcollaborationssuchastheEUDataGrid,theGridPhysicsNetwork,andtheParticelPhysicsDataGrid[1],TheGlobusToolkitisawidelyusedsetofservicesdesignedtosupportthecreationoftheseGridinfrastruncturesandapplications,InthispaperwesurveytheGlobustechnologiesthatwillplayamajorroleinthedevelopmentanddeploymentfortheseGrids.

简介：在这份报纸，multivariate伯恩斯坦多项式定义在上一单一当由允许采样操作员在散布地点发生的采样操作员，和归纳被学习，被看。随机、确定的方面在学习被使用。在随机的方面上，为采样操作员的Chebyshev类型估计被建立。在确定的方面上，联合一致分发和差异方法的理论，接近的连续功能和L的率<啜class=“a-plus-plus”>为这些操作符的p集中分别地被学习。

简介：木头数据的遥远的传播是为服务公司的一个迫切问题。这里的日志数据的遥远的传播技术多好与CifNet在联合指传播解决方案自动化减少回转时间的日志数据的传播，存储，管理，和检索的数据管理系统。实现断点传播和错误恢复并且保证木头数据传播的有效性和可靠性是一种应用数字签名技术。

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简介：AbstractPurpose:Traumatic brain injury (TBI) is one of the major public health concerns worldwide. Developing a TBI registry could facilitate characterizing TBI, monitoring the quality of care, and quantifying the burden of TBI by collecting comparable and standardized epidemiological and clinical data. However, a national standard tool for data collection of the TBI registry has not been developed in Iran yet. This study aimed to develop a national minimum data set (MDS) for a hospital-based registry of patients suffering from TBI in Iran.Methods:The MDS was designed in 2 phases, including a literature review and a Delphi study with content validation by an expert panel. After the literature review, a comprehensive list of administrative and clinical items was obtained. Through a two-round e-Delphi approach conducted by invited experts with clinical and research experience in the field of TBI, the final data elements were selected.Results:A MDS of TBI was assigned to 2 parts: administrative part with 5 categories including 52 data elements, and clinical part with 9 categories including 130 data elements.Conclusion:For the first time in Iran, we developed a MDS specified for TBI consisting of 182 data elements. The MDS would facilitate implementing a TBI's national level registry and providing essential, comparable and standardized information.

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简介：为越过在象文件同步那样的应用程序的宽区域网络(广域网)的文件通讯的数据deduplication并且云环境反射通常完成以数据deduplication的重要时间开销的成本节省的重要带宽。时间开销包括在二个地理上分布式的节点为数据deduplication要求的时间(例如，磁盘存取瓶颈)并且在发送者之间的复制质问/答案操作和接收装置，后来，每询问或答案介绍至少一个潜伏的双程的时间(RTT)。在这份报纸，我们在场越过有元数据反馈和元数据利用(MFMU)的广域网的一个数据deduplication系统，联系了时间开销以便利用数据deduplication。在建议MFMU系统，到发送者的从接收装置的选择元数据反馈被介绍减少复制质问/答案操作的数字。另外，到马具，元数据在接收装置联系了磁盘I/O操作，以及带宽开销由元数据反馈介绍了，磁滞现象哈希值重新组合机制基于的元数据利用部件被介绍。我们的试验性的结果证明MFMU与保存没被元数据反馈减少的比率的带宽完成了20%40%deduplication加速的一般水准，当与基线相比内容定义组合(CDC)在LBFS(Low-bandwith网络文件系统)使用，组合算法的退出的最先进的Bimodal基于数据deduplication解决方案。