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.
简介:DataofPopulationandFamilyPlanninginChina,1990-1996Source:(1)Thenumberofwomenaged20-29(infecundperiod)iscalculatedbytheStateFa...
简介:从除一个地点驱动的模式以外的一个数据驱动的通讯模式继承,命名数据联网(NDN)把更好的支持提供给网络层dataflow。然而,应用程序开发者不得不处理复杂任务,例如数据分割,包确认,和流动控制,由于在网络层上的合适的运输层协议的缺乏。在这研究,我们设计一个dataflow面向的编程接口为NDN提供运输策略,它极大地在开发应用程序改进效率。这个接口介绍检索策略根据出版模式,基于当前的网络地位和数据产生控制dataflow在采用一个适应ADUpipelining算法的不同数据评估的二个应用程序数据单位(ADU)。接口也提供网络测量策略监视许多影响应用程序表演的批评度量标准。我们由实现流的一个录像验证我们的接口的功能和性能在世界范围的NDN试验床上跨越11个时区的申请。我们的实验证明接口罐头高效地支持开发高效、驾驶dataflow的NDN应用程序。
简介:OptimisinguseoftheWeb(WWW)forLHCdataanalysisisacomplexproblemandillustratesthechallengesarisingfromtheintegrationofandcomputationacrossmassiveampuntsofinformationdistributedworldwide.Findingtherightpieceofinformationcan,attimes,beextremelytime-consuming,ifnotimpossible,SO-calledGridshavebeenproposedtofacilitateLHCcomputingandmanygroupshaveembarkedonstudiesofdatareplication,datamigrationandnetwrokingplhilosophies.Otheraspectssuchastheroleofmoddleware'forGridsareemergingasrequiringresearch.Thispaperpositionstheneedforappropriatemiddlewarethatenablesuserstoresolvephysicsqueriesacrossmassivedatasets.Itidentifiestheroleofmeta-dataforqueryresolutionandtheimportanceofInformationGridsforhigh-energyphysicsanalysisratherthanjustcomputationalorDataGrids,ThispaperidentifiessoftwarethatisbeingimplementedatCERNtoenablethequeryingofverylargecollaboratingHEPdata-sets,initiallybeingemployedfortheconstructionofCMSdetectors.
简介:Thispaperdevelopsamethodwhichcanbeusedtoassistaerialnavigationbydeterminingthespatialpositionandpostureoftheaerialphotographicplane.Afterthemethod,aerialimagesmatchknownDEMtocapturethespatialpositionandposture.Someaerialimagesandterraindataareusedtotestifyourmethod.Comparedwiththoseofanalyticandstereomappers,theresultsbyourmethodarecorrespondenttorealmeasurementswell.
简介:Losslessdatahidingcanrestoretheoriginalstatusofcovermediaafterembeddedsecretdataareextracted.In2010,Wangetal.proposedalosslessdatahidingschemewhichhidessecretdatainvectorquantization(VQ)indices,buttheencodingstrategiesadoptedbytheirschemeexpandthefinalcodestream.ThispaperdesignsfourembeddingandencodingstrategiestoimproveWangetal.'sscheme.TheexperimentresultoftheproposedschemecomparedwiththatoftheWangetal.'sschemereducesthebitratesofthefinalcodestreamby4.6%andraisesthepayloadby1.09%onaverage.
简介:MultistageVectorQuantization(MSVQ)canachieveverylowencodingandstoragecomplexityincomparisontounstructuredvectorquantization.However,theconventionalMSVQissuboptimalwithrespecttotheoverallperformancemeasure.Thispaperproposesanewtechnologytodesignthedecodercodebook,whichisdifferentfromtheencodercodebooktooptimisetheoverallperformance.Theperformanceimprovementisachievedwithnoeffectonencodingcomplexity,bothstorageandtimeconsuming,butamodestincreaseinstoragecomplexityofdecoder.
简介:Inthispaper,theforwardingobjectiveandmobilitylawofnodesinopportunisticnetworksarefirstinvestigatedtoestablishamathematicalmodelforfurtheranalysis,thenagraduallyaccelerateddataforwardingalgorithmisproposed.Inthisalgorithm,accordingtothedistancebetweendatacarriers(nodes)andthedestination,someintermediatenodesareselectedtorelaythedata.Especially,theforwardedcopiescanbeincreasedwhenthedelayreachesathreshold,toguaranteetherequireddeliveryratio.Thesimulationresultsshowthattheproposedalgorithmcaneffectivelyreducethestorageoccupanciesofnodesandforwardingdelay,andguaranteethedeliveryratiosimultaneously.
简介:处理的大数据正在成为数据中心计算的固执己见者部分。然而,最近的研究显示了大数据工作量不能充分利用现代记忆系统。我们发现处理的大数据的戏剧的无效从缓存失误的庞大的数量和看情况的存储器存取的货摊。在这篇论文,我们介绍二优化处理这些问题。第一是slice-and-merge策略,它减少种类过程的缓存失误率。第二优化是direct-memory-access,它改革在钥匙/值的存储使用的数据结构。这些优化被评估与微基准并且真实世界的基准HiBench。结果我们的微基准清楚地以硬件事件计数表明我们的优化的有效性;并且HiBench的另外的结果显示出1.21X一般水准加速在上申请级。两结果说明那小心的硬件/软件合作设计将改进大数据处理的存储器效率。我们的工作已经集成于为ApacheHadoop的Intel分发。
简介:Thispaperpresentsasimplenonparametricregressionapproachtodata-drivencomputinginelasticity.Weapplythekernelregressiontothematerialdataset,andformulateasystemofnonlinearequationssolvedtoobtainastaticequilibriumstateofanelasticstructure.Preliminarynumericalexperimentsillustratethat,comparedwithexistingmethods,theproposedmethodfindsareasonablesolutionevenifdatapointsdistributecoarselyinagivenmaterialdataset.
简介:Digitaldataofprecursorsisnotedforitshighaccuracy.Therefore,itisimportanttoextractthehighfrequencyinformationfromthelowonesinthedigitaldataofprecursorsandtodiscriminatebetweenthetrendanomaliesandtheshort-termanomalies.Thispaperpresentsamethodtoseparatethehighfrequencyinformationfromthelowonesbyusingthewavelettransformtoanalyzethedigitaldataofprecursors,andillustrateswithexamplesthetrainofthoughtsofdiscriminatingtheshort-termanomaliesfromtrendanomaliesbyusingthewavelettransform,thusprovideaneweffectiveapproachforextractingtheshort-termandtrendanomaliesfromthedigitaldataofprecursors.