简介：Inanactivenetwork,userscaninsertcustomizedactivecodesintoactivenodestoexecute.Thusitneedsmoreresourcesthanthoserequiredbyconventionalnetworks,andtheseresourcesmustbeeffectivelymonitoredandmanaged.ManagementpoliciesinexistingOSsaretoocomplicatedtoapplytosimpleactivepackets.Inthispaper,wepresentnewresourcesmanagementpoliciesthataremainlyadopedtomanageCPU,storageandtransmissionbandwidth.Namely,weuseSPFalgorithmtoscheduleandprocessactivepackets,andimportanintervalqueuemethodtoallocatetransmissionbandwidth,andusefeedbackmechanismtocontrolcongestion.Atthesametime,wedesignsomeexperimentsonprototypesystemswithandwithoutresourcesmanagementpoliciesrespectively.Theexperimentsresultsshowthatmanagementpoliciespresentedbyuscaneffectivelymanageresourcesinactivenodesandcanimprovetheperformanceofactivenetworks.

简介：AimingtoprovideameasurableserviceQualityofService(QoS)evaluatingmethodforserviceinventorymanagement,thispaperproposesanewmobileServiceUtilityModel(SUM),considerstheserviceandbusinesslayerelementsintotheserviceutilityinfluenceprofile,andproposesanself-adaptiveserviceinventorymanagementalgorithmasaQoScontrolschemebasedonSUM.ItcanbeconcludedfromthesimulationresultthattheserviceinventoryutilitycanbefullyreflectedbySUMandthewholesystemefficiencyisgreatlyincreasedbyusingSUMastheadaptiverule.

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简介：ThispaperaddressesamanagementmodelforIPnetworkbasedonNextGenerationOperationSupportSystem(NGOSS).ItmakesthenetworkmanagementonthebaseofalltheoperationactionsofISP,ItprovidesQoStouserservicethroughthewholepathbyprovidingend-to-endServiceLevelAgreements(SLA)managementthroughwholepath.Basedonwebandcoordinationtechnology,thispapergivesanimplementarchitectureofthismodel.

简介：在知识管理系统(KMS)解决这些问题例如信息分享，扩大的能力和re-engineer，和在分布式、异构的环境的遗产系统的可重用的能力。这篇文章基于设计KMS的代理人和本体论介绍一个方法。这个方法由二个机构组成。一个人是有支持知识管理过程的三个代理人的知识机构。其它是有支持知识申请的三个代理人的申请机构。在这个方法，本体论被用来在在代理人之中交换的消息在知识库和内容代表知识。表明这个方法的优点，实验被执行了，结果暗示这个方法为小、中等尺寸的企业有效、有效设计KMS。

简介：Inthispaper,atechnicalandstatisticalanalysisofsecuritysystemandsecuritymanagementisprovidedforcrowdenergyandsmartliving.Atthesametime,aclearunderstandingismadeforcrowdenergyconceptandnextgenerationsmartliving.Variouscaseexampleshavebeenstudiedandabriefsummaryhasbeenprovided.Furthermore,astatisticalanalysishasbeenprovidedintermsofsecuritymanagementinsmartlivingwhereitisfoundthatyoungtechnocratsgivethehighestimportancetosecuritymanagementinsmartliving.Lastbutnottheleast,currentlimitation,constraints,andfuturescopeofsecurityimplementationhavebeendiscussedintermsofcrowdenergyclusteredwithnextgenerationsmartliving.

简介：在连续RapidIO(SRIO)的一个交通管理计划相连被建议处理噪音和电磁的干扰(EMI)引起的性能降级，它被硬件实现和坚韧的工作环境的几乎没可避免的错误产生。这个计划的主要想法包括适应速度转变和结冰承认(freeze-ACK)。适应速度转变能处于高小点错误率(BER)改进产量和还原剂延期环境。同时，freeze-ACK被采用征服反馈隧道的经常的用法。把适应速度转变与freeze-ACK相结合的计划在SRIO网络为大性能提供改进的模拟表演。

简介：Thisarticlepresentsadatamanagementsolutionbasedonthedatadistributionservice(DDS)communicationmodel.ThebasicDDScommunicationmodelconsistsofaunidirectionaldataexchangewhereapplicationsthatpublishdata'push'therelevantdata,whichisupdatedtothelocalcachesofco-locatedsubscriberstothedata[1].DDShasnospecifiedcenternodetoforwarddatapacketsandmaintainthecommunicationdata.Thistypeofpublish-subscribe(P/S)modelpresentsintegrityandconsistencychallengesindatamanagement.Unlikepeer-to-peer(P2P)distributedstorage,DDSapplicationshaveahardreal-timeenvironmentandfewerdatafeatures,andthecoreproblemisensuringtheintegrityandconsistencyofdataindistributedsystemsunderthishardreal-timeenvironment.ThisarticlebeginswithabriefintroductionofthecommunicationmodelusedbyDDS,thenanalyzespersistentdatamanagementproblemscausedbysuchmodel,andprovidesanappropriatesolutiontotheseproblems.Thissolutionhasbeenimplementedinaprototypesystemofthereal-timeservicebus(RTSB)ofTsinghuaUniversity.

简介：ThepaperdescribesthevariousenergymanagementtechniquesthatcanbeimplementedforamodernelectricvehiclebyusingMATLAB/Simulink.TheRenaultTwizyvehicleisconsideredforMATLABsimulation.Regenerativebrakingtechniqueisdiscussed,inwhichthekineticenergyisconvertedtoelectricitytochargethebatteryofthevehiclewhenthebrakesareappliedorwhenthevehicleismovingdownthehill.Asolarphotovoltaic(PV)ontheroof-topofthevehicleisimplementedtochargethebatteryusedinthevehicle.Thesimulationresultsarehighlightedandenergymanagementstrategiesarepresented.Theresultsshowedthatthespeedcontrolofdirectcurrent(DC)motorduringthemotoringmodeandregenerativebrakingmodewassuccessfullyachievedbyusingabi-directionalDC-DCconverterandaproportional-integral(PI)controlleratvariousreferencespeedssetbytheuserbyapplyingavariableloadtorquestothemotor.ThesizeofsolarPVonroof-topofthevehiclewasfoundtobe280Wthatchargedthe48Vbatteryofthevehiclebyusingabi-directionalDC-DCconverter,whichwasevaluatedbyusingMATLAB/Simulink.

简介：Withthedevelopmentofsmartgrid,residentshavetheopportunitytoscheduletheirhouseholdappliances(HA)forthepurposeofreducingelectricityexpensesandalleviatingthepressureofthesmartgrid.Inthispaper,weintroducethestructureofhomeenergymanagementsystem(EMS)andthenproposeapoweroptimizationstrategybasedonhouseholdloadmodelandelectricvehicle(EV)modelforhomepowerusage.Inthisstrategy,theelectricvehiclesarechargedwhenthepriceislow,andotherwise,aredischarged.Byadoptingthiscombinedsystemmodelunderthetime-of-useelectricityprice(TOUP),theproposedschedulingstrategywouldeffectivelyminimizetheelectricitycostandreducethepressureofthesmartgridatthesametime.Finally,simulationexperimentsarecarriedouttoshowthefeasibilityoftheproposedstrategy.Theresultsshowthatcrossovergeneticparticleswarmoptimizationalgorithmhasbetterconvergencepropertiesthantraditionalparticleswarmalgorithmandbetteradaptabilitythangeneticalgorithm.

简介：Thebuildingsectoranditsheatingandcoolingrepresentoneofthemajorconsumerofenergyworldwide.Simultaneously,theshareoffluctuatinggenerationofrenewableenergiesintheenergymixincreases.Thereforestorageanddemandsidemanagementtechnologiesarerequired.Thenewadaptiveandpredictivecontrolalgorithmforthermallyactivatedbuildingsystems(TABS)basedonmultiplelinearregression(AMLR)presentedinthispaperenablestheapplicationofdemandsidemanagement(DSM)strategies.Basedonsimulations,differentstrategieshavebeencomparedwitheachother.ByapplyingtheAMLRalgorithm,electricityenergycostsavingsof38%couldbeachievedcomparedtotheconventionalcontrolstrategyforTABS,whileincreasingthethermalcomfort.Atthesametime,thermalenergydemandcanbereducedintherangebetween4%to8%,andpumpoperationtimefrom86%to89%.

简介：Thepapergivesanoverviewontheneedforsmartcouplingforbatterymanagementingridintegratedrenewableenergysystem(RES).Gridintegratedphotovoltaic(PV)batterysystem,asbeingpopularandextensivelyusedhasbeendiscussedinthepaper.SmartcouplingreferstointelligentgridintegrationsuchthatitcanforeseelocalnetworkconditionsandissuebatterypowerflowmanagementstrategyaccordinglytoshavethepeakPVandpeakload.Therefore,aneedforpredictiveenergymanagementarisesforsmartintegrationtothegridandsupervisionofthepowerflowinaccordancetothegridconditions.ThisisalsoarunningprojectattheInstituteofEnergySystems(INES),OffenburgUniversityofAppliedScience,GermanysinceJanuary,2015.Thepapershouldprovideinsightstothemotivation,needandgivesanoutlooktothefeaturesofdesiredpredictiveenergymanagementsystem(PEMS).

简介：ThispaperpresentsanopportunityforenergymanagementwithanintegratedphotovoltaicandwindfarmfortheenergyandeconomicaspectsofthecommercialarealocatedinPutrajaya.Theenergyeconomyaccessionconformingtothewindspeed,temperature,solarirradiation,andenergyconsumptiononadailybasisistakenintoconsideration.Designanalysisisdonethroughtheindustrystandardnumericaltool.Fromtheresultanalysis,therecommendedratioofrenewableshareminimizingstresstotheelectricgridisproposed.Accordingtothesolutionsobtainedfromthenumericaldesigntool,photovoltaicisrecommendedtobemoreenergyefficientandeconomicallyviableincomparisonofthefullycrowdedwindfarm.Fromtheproposedsolutions,thephotovoltaicisabletoprovide51%oftheenergyconsumedanditcostsRM0.365perkW/h.

简介：Toolmanagementisnotasingle,simpleactivity,itiscomprisedofacomplexsetoffunctions,especiallyinaflexiblemanufacturingsystem(FMS)environment.Theissuesassociatedwithtoolmanagementincludetoolrequirementplanning,toolreal-timescheduling,toolcribmanagement,toolinventorycontrol,toolfaultdiagnosis,tooltrackingandtoolmonitoring.Inordertomaketoolsflowinto/outofFMSefficiently,thisworkisaimedtodesignaknowledge-baseddecisionsupportsystem(KBDSS)fortoolmanagementinFMS.Firstlyanoverviewoftoolmanagementfunctionsisdescribed.ThenthestructureofKBDSSfortoolmanagementandtheessentialagentsinthedesignofKBDSSarepresented.FinallytheindividualagentsofKBDSSarediscussedfordesignanddevelopment.

简介：活动性支持上的同样不同的要求将被多样化的通讯情形在第五代(5G)介绍，在需求活动性管理上被提出简化发信号的过程，还原剂终端电源消费，等等改进网络效率。为了在5G在需求活动性管理上启用，联网，驾驶的活动性(MDNS)当为不同活动服务设定网络时，网络切被建议，它考虑单个活动性支持要求。在MDNS框架以内，要求的活动性支持的实际层次被一个活动性描述系统决定，并且与相应活动性管理计划联网片模板被一个网络片描述函数定义。由用具体例子说明，网络切，每个活动终端能与最适当的活动性管理计划被指导到网络片。基于这，一个原型被实现验证MDNS框架的可行性，即与不同活动性管理创造多重网络片策划。另外，平均处理一个活动性事件花费的性能评估为建议MDNS框架被进行，长期的进化(LTE)系统，和操作好处包括效率和可伸缩性被分析。

简介：这篇文章在端对端的交换子在异构的收音机存取技术(老鼠)之中为联合收音机资源管理(JRRM)作为一条自治途径介绍基因算法(GA)可计算的系统。联合会话承认控制(JOSAC)和带宽分配作为基因算法的操作与某些明智的修正做的一个特定的决定被联合。建议算法在下列二个条件上被触发。当一个会议被开始时，让会议在最适当的老鼠上宿营并且为需要的服务选择最合适的带宽被触发。当一个会议终止时，通过移交调整进行中的会议的分发也被用来。这将为最好的系统表演增加JRRM控制器的调整频率。模拟结果显示建议自治JRRM不仅有效地策划移交预定，而且完成很好的还原剂在光谱用途和堵住的概率之间的交易。

简介：Theonlinesocialnetworks(OSNs)offerattractivemeansforsocialinteractionsanddatasharing,aswellasraiseanumberofsecurityandprivacyissues.Althoughcurrentsolutionsproposetoencryptdatabeforesharing,theaccesscontrolofencrypteddatahasbecomeachallengingtask.Moreover,multipleownersmayenforcedifferentaccesspolicytothesamedatabecauseoftheirdifferentprivacyconcerns.Adigitalrightsmanagement(DRM)schemeisproposedforencrypteddatainOSNs.Inordertoprotectusers'sensitivedata,theschemeallowsusersoutsourceencrypteddatatotheOSNsserviceproviderforsharingandcustomizetheaccesspolicyoftheirdatabasedonciphertext-policyattribute-basedencryption.Furthermore,theschemepresentsamultipartyaccesscontrolmodelbasedonidentity-basedbroadcastencryptionandciphertext-policyattribute-basedproxyre-encryption,whichenablesmultipleowners,suchastaggeduserswhoappearinasingledata,customizetheaccesspolicycollaboratively,andalsoallowsthedisseminatorsupdatetheaccesspolicyiftheirattributessatisfytheexistingaccesspolicy.Securityanalysisandcomparisonindicatethattheproposedschemeissecureandefficient.

简介：Wearabledevicesbecomepopularbecausetheycanhelppeopleobservehealthcondition.Thebatterylifeisthecriticalproblemforwearabledevices.Thenon-volatilememory(NVM)attractsattentioninrecentyearsbecauseofitsfastreadingandwritingspeed,highdensity,persistence,andespeciallylowidlepower.Withitslowidlepowerconsumption,NVMcanbeappliedinwearabledevicestoprolongthebatterylifetimesuchassmartbracelet.However,NVMhashigherwritepowerconsumptionthandynamicrandomaccessmemory(DRAM).Inthispaper,weassumetousehybridrandomaccessmemory(RAM)andNVMarchitectureforthesmartbraceletsystem.Thispaperpresentsadatamanagementalgorithmnamedbraceletpower-awaredatamanagement(BPADM)basedonthearchitecture.TheBPADMcanestimatethepowerconsumptionaccordingtothememoryaccess,suchassamplingrateofdata,andthendeterminethedatashouldbestoredinNVMorDRAMinordertosatisfylowpower.TheexperimentalresultsshowBPADMcanreducepowerconsumptioneffectivelyforbraceletinnormalandsleepingmodes.

简介：CognitiveRadio(CR)systembasedonOrthogonalFrequencyDivisionMultipleAccess(OFDMA),suchasWirelessRegionalAreaNetworks(WRAN)andWorldwideInteroperabilityforMicrowaveAccess(WiMAX),oftenattempttoimproveperformanceviadynamicradioresourcemanagement,whichischaracterizedasconcurrentprocessingofdifferenttrafficandnondeterministicsystemcapacity.Itisessentialtodesignandevaluatesuchcomplexsystemusingpropermodelingandanalysistools.Inthepreviouswork,mostofthecommunicationsystemsweremodeledasMarkovChain(MC)andStochasticPetriNets(SPN),whichhavetheexplicitlimitationinevaluatingadaptiveOFDMACRsystemwithwideareatraffic.Inthispaper,wedevelopanexecutabletop-downhier-archicalColoredPetriNet(CPN)modelforadaptiveOFDMACRsystem,andanalyzeitsperformanceusingCPNtools.TheresultsdemonstratethattheCPNcanmodeldifferentradioresourcemanage-mentalgorithmsinCRSystems,andtheCPNtoolsrequirelesscomputationaleffortthanMarkovmodelusingMatlab,withitsflexibilityandadaptabilitytothetrafficswhicharrivalintervalandprocessingtimearenotexponentiallydistributed.

简介：Thispaperpresentsthedesignandimplementationofanenergymanagementsystem(EMS)withwavelettransformandfuzzycontrolforaresidentialmicro-grid.Thehybridsysteminthispaperconsistsofawindturbinegenerator,photovoltaic(PV)panels,anelectricvehicle(EV),andasupercapacitor(SC),whichisabletoconnectordisconnecttothemaingrid.Thecontrolstrategyisresponsibleforcompensatingthedifferencebetweenthegeneratedpowerbythewindandsolargeneratorsandthedemandedpowerbytheloads.Wavelettransformdecomposesthepowerdifferenceintoasmoothedcomponentandafastfluctuatedcomponent.Thecommandapproachusedforfuzzylogicrulesconsidersthestateofcharging(SOC)ofEV,renewableproduction,andtheloaddemandasparameters.Furthermore,thecommandrulesaredevelopedinordertoensureareliablegridwhentakingintoaccounttheEVbatteryprotectiontodecidetheoutputpoweroftheEV.ThemodelofthehybridsystemisdevelopedindetailunderMatlab/Simulinksoftwareenvironment.