简介:到期的日期引语并且安排是重要工具在MTO(make-to-order)环境与生产能力匹配需求。我们考虑安排在MTO环境操作的一个生产公司面对的问题的一份订单,在公司需要为顾客引用一个普通到期的日期的地方,并且同时控制顾客订单的处理时间(由分配额外的资源处理订单)以便在给定的截止时间前完成订单。目的是最小化早,缓慢,到期的日期任务和额外的资源消费的全部的费用。我们证明这个问题是NP难的,就算为控制处理时间的订单的费用重量是相同的。我们识别这个问题的几个polynomially可解决的盒子,并且开发一个分支和界限算法和三个禁忌搜索算法解决一般问题。我们然后进行计算实验评估他们以解决方案质量通常是有效的三个禁忌搜索算法和表演的性能。
简介:分叉的河隧道和象长期的捱过和侵蚀的结果的山谷,山脉,山,和斜坡的共存形成唯一的黄土地形学。Changqing地球物理的公司,处于这些复杂条件工作,为高保真处理和地震数据的好解释建立了技术的一间套房。这篇文章介绍涉及处理的数据和解释的进程并且说明结果。关键词黄土高原-地震数据处理-静电干扰-箱优化-噪音变细-在教授水平的高级工程师数据解释第一作者江家玉从北京石油研究所在地球物理的探索毕业了,一所美国学院1970。她从事了关于地震数据的全面解释的研究。现在她在Dongfang地球物理的同伴的研究院的Changqing分割工作。26篇文章被出版。她授于我国家科学与技术的班奖金,和科学与技术的进步奖金由部和局进行四十次。
简介:AtFermilab'sCDFfarmamodularandhighlyscalablesoftwareandcontrolsystemforprocessing,reprocessing,MonteCarlogenerationandmanyothertaskshasbeencreated.ThesystemiscalledFPS(FarmProcessingSystem).Thissystemconsistsofindependentsoftwarecomponentsandallowsmodificationstosuitothertypesofprocessingaswell.FPSisaccompaniedwithfullyfeaturedmonitoringandcontrolinterfaces,includingwebstatisticsdisplaysandamultiplatformJavacontrolinterfacethatalloweasymanagementandcontrol.Thesystemalsofeaturesautomaticerrorrecoveryprocedureswithearlywarningsthatallowsmoothrunning.Ageneraloverviewofthesoftwaredesingalongwithadescriptionofthefeaturesandlimitationsofthesystemanditscomponentswillbepresented.Run2experiencewiththesystemwillbegiveraswell.
简介:Thispaperpresentsanewsplinecalledarcspline.Ittakestwoarcsconnectingadjacentpointsamongasampledseries,withknowntangentalofeachsampledpoint.Thecalculationfortheparallel.thecurvelengthandthesegment-ingpointcoordinatesaresimple,thusmakingmapsymbolgenerationsimplified.When'arclet'occurs,somespecialprocessingmustbetaken.
简介:TheGAuDIarchitectureandframeworkaredesignedtoprovideacomoninfrastructureandenvironmentforsimulation,filtering,reconstructionandanalysisapplications.InitiallydevelopedfortheLHCbexperiment,GAUDIhasbeenadoptedandextendedbytheATLASexperimentandadoptedbyseveralotherexperimentsincludingGLASTandHARP.wedescribethepropertiesandconceptsembodiedbyGAUDIandrecentfunctionalityadditionsandhowtheprojecthasevolvedfromaproductdevelopedbyatightly-knitteaminasinglesite,toacollaborationbetweenmultipleteamsatgeographicallydispersedsites,basedlooselyonopensourceconcepts.Wedescribethemanagementinfrastructureaswellashowweaccommodateexperment-specificextensionsandadaptationsaswellasanexperiment-neutralkernel.
简介:Spatialapplicationswillgainhighcomplexityasthevolumeofspatialdataincreasesrapidly.Asuitabledataprocessingandcomputinginfrastructureforspatialapplicationsneedstobeestablished.Overthepastdecade,gridhasbecomeapowerfulcomputingenvironmentfordataintensiveandcomputingintensiveapplications.Integratinggridcomputingwithspatialdataprocessingtechnology,theauthorsdesignedaspatialdataprocessinggrid(calledSDPG)toaddresstherelatedproblems.RequirementsofspatialapplicationsareexaminedandthearchitectureofSDPGisdescribedinthispaper.KeytechnologiesforimplementingSDPGarediscussedwithemphasis.
简介:Thenewcatalogueofprocessingtrade-bannedcommoditieswasannouncedrecently.TheannouncementwasexecutedsinceNovember22of2006.TheCataloguewillbeadjustedaccordingtorelatedpoliciesofthestate.
简介:Inordertosolvetheproblemsrelatedwithprocessinglow-qualityLiaohehighlysourcrude,theLiaohePetrochemicalCompanyhasexploredthepossibilityinoptimizingtheprocessingofhighlysourcrudebyadoptingdifferentprocessschemesdependinguponthepropertiesofthehighlysourcrude.TheLiaohenaphthenic-basecrudeoilwithlowfreezingpointisearmarkedformanufactureofnaphtheniclubeoilsandheavytrafficpavingasphalt,whiletheextra-heavyLiaohecrudewithhighacidnumberisrouteddirectlytodelayedcokingunitcoupledwithcorrespondingcorrosionpreventingmeasures,resultingintacklingtheproblemofequipmentcorrosionarisingfromrefiningofLiaohehighlysourcrudetoobtainlightdistillatesfromLiaoheheavycrudethroughashortprocessscheme.
简介:Drillpipeproductsarethemostcriticalservicerequirement,thehighestperformancerequirementandthehighestqualityreliabilityOCTGproducts.Throughthecontinuousresearchonsteelmaking,upset,hearttreatment,straighteningandfrictionwelding,Baosteelimprovesthekeytechnicalparameterswhichaffectthequalityofdrillpipe,suchasmaterialpurity,Miuofinternalupsettransitionarea,toughnessandstraightness.Baosteeldrillpipeproductshavemetthedemandingrequirementofdrillingoperations.ByBRPdephosphorizationandLFdesulfurization,theP,ScontentofBaosteeldrillpipeisverylow.TheScontentofS-135drillpipecanbecontrolledinlessthan10ppm.Baosteeldesignsanewclosed-loopcontrolsystemofupsetendinductionheatingsystem.Thesystemusetemperaturemeasurementinsidetheovenandclosed-loopcontrol.Thetemperatureaccuracyofthesystemcanbeguaranteedwithinthe±15℃togetastableupsetquality.TheupsettingprocessofthedrillpipeisoptimizedbyusingpatentedtechnologyandmadetheMiufrom100mmto140mm.Thismakeasubstantialincreaseinfatiguelifeofthedrillpipe.Toimprovetheimpacttoughnessofthedrillpipebody,thedrillpipebodymaterialischangedfromCr-Ni-MosystemtoCr-Mo-Vsystemandtheheattreatmentischangedfromoilquenchingtowaterquenching.Toimprovetheimpacttoughnessofthetooljoint,thetooljointfurnaceisupgradedtoimproveheatingcapacity.Toimprovetheimpacttoughnessoftheweldzone,anewfuzzycontrolsystemofweldzoneheattreatmentisdeveloped.Thetemperatureaccuracyofthesystemcanbeguaranteedwithinthe±5℃togetastableheattreatmentquality.Anewdrillpipestraightnessautomaticdetectiondevicesandself-learningmethodofstraighteningaredevelopedtoachieveautomatedstraightening.Aweldingprocesswithhighspeed,single-stagepressureandhighforgingforceisappliedtoinertiafrictionwelding.Aweldingprocesswithlowspeed,three-stagepressureandlowforgingforceisappli
简介:速度体积处理(VVP)单个Doppler雷达的检索是能被用来获得许多风参数的一个有效方法。由于从方程的系数产生容易没被解决的一个性恶的矩阵的问题,然而,VVP方法没在操作足够地并且有效地被使用。在这篇论文,一个改进计划,基于原来的方法,SVVP(处理的步速度体积)被建议。改进算法通过一个逐步的过程检索风地的每组部件,它克服一个性恶的矩阵的问题,它当前限制VVP方法的申请。就算分析卷是很小的,在一个六参数的模型的变量能被检索。另外,在传统的方法存在的错误的来源和顺序被分析。改进方法被用于真实盒子,它证明它是柔韧的并且有能力获得本地对流系统的风地结构。它对学习暴风很有用。
简介:作为正在是更经常收集了并且分析的流数据,流处理系统面临更多的设计挑战。一挑战是执行连续窗户聚集,它包含集中的计算。当有很多聚集询问时,系统可以受不了可伸缩性问题。询问通常是类似的并且仅仅在窗口说明不同。在这份报纸,我们建议支持总数在窗户之中分享的合作聚集以便重复总数操作能被避免。与分享的总数被窗户步在限制的以前的途径不同,我们作为一系列减小在多重价值上概括聚集。因此,每减小产生的结果走能被分享。分享的进程在feed被形式化语义和我们在场决定以很低的成本分享逻辑的数据的compose-and-declare框架。试验性的结果证明我们的途径把数量级性能改进提供给最先进的结果并且有一个小存储器脚印。
简介:Thispaperdescribestheinverstigationdevotedtoestablishsuitableweightsinafeed-forwardneuralnetworkrealizingthenarrow-bandfilteringmapinthecaseofadaptivelineenhancement(ALE)bytheutilityoftheoptimumcommonlearningratebackpropagation(OCLRBP)algorithm.Itisfoundthatafeed-forwardnetworkwith64linearinputandoutputneurons,and8oddsigmoidneuronsinthehiddenlayer,i.e.an(64→8→64)architecture,couldestablishthespecificinput-outputfunctioninthecaseofrelativelylowsignal-to-noiseradio.Onlyisaninputsignalconsistingofmixedperiodicandbroad-bandcomponentsavailabletothenetworksystem.Afterlearning,boththe"fanning-in-connectionpatterns",eachofwhichconsistsofweightsfanningintoahidden-neuronFromalltheoutputsofinput-neurons,andthe"fanning-out-connectionpatterns",eachofwhichconsistsofweightsfanningoutfromahidden-neurontoalltheinputsofoutput-neurons,aretunedtotheperiodicsignals.Thenonline
简介:收集神经活动数据从醒着,自由地表现动物,我们由现代芯片开发使小型化的可植入的记录系统:薄片(PSoC)上并且通过在外皮的长期的电极的可编程的系统。与PSoC家庭成员CY8C29466,运作的完成的系统和仪器放大器,过滤器,定时器,广告变流器,和连续通讯,等等。信号处理被处理虚拟仪器技术。这些,因素显著地装的所有影响价格和工程的发展周期。结果证明系统能记录并且分析神经原连续地产生一个星期或更多的神经extrocellular分泌物。这为神经科学和信息工程technique.The电路的学科交差的研究是很有用的,设备的建筑学能带着另外的小动物为神经生物学和研究被改编。
简介:Graphsarewidelyusedformodelingcomplicateddatasuchassocialnetworks,chemicalcompounds,proteininteractionsandsemanticweb.Toeffiectivelyunderstandandutilizeanycollectionofgraphs,agraphdatabasethatefficientlysupportselementaryqueryingmechanismsiscruciallyrequired.Forexample,SubgraphandSupergraphqueriesareimportanttypesofgraphquerieswhichhavemanyapplicationsinpractice.Aprimarychallengeincomputingtheanswersofgraphqueriesisthatpair-wisecomparisonsofgraphsareusuallyhardproblems.Relationaldatabasemanagementsystems(RDBMSs)haverepeatedlybeenshowntobeabletoefficientlyhostdifferenttypesofdatasuchascomplexobjectsandXMLdata.RDBMSsderivemuchoftheirperformancefromsophisticatedoptimizercomponentswhichmakeuseofphysicalpropertiesthatarespecifictotherelationalmodelsuchassortedness,properjoinorderingandpowerfulindexingmechanisms.Inthisarticle,westudytheproblemofindexingandqueryinggraphdatabasesusingtherelationalinfrastructure.Wepresentapurelyrelationalframeworkforprocessinggraphqueries.Thisframeworkreliesonbuildingalayerofgraphfeaturesknowledgewhichcapturemetadataandsummaryfeaturesoftheunderlyinggraphdatabase.Wedescribedifferentqueryingmechanismswhichmakeuseofthelayerofgraphfeaturesknowledgetoachievescalableperformanceforprocessinggraphqueries.Finally,weconductanextensivesetofexperimentsonrealandsyntheticdatasetstodemonstratetheefficiencyandthescalabilityofourtechniques.