简介：抄表系统的智能化发展已成为一种趋势,智能抄表系统具有节约成本,高效管理,抄表精确,方便用户等优点,在智能电网中有着重要的意义.本文介绍了智能电网中智能抄表的意义,列举了现有的智能抄表技术,然后对智能抄表的新热点进行了探讨,并设计实现了基于Zigbee的抄表系统,给出了系统组成及工作原理和系统软件设计过程,说明了该系统的实用性和优越性,最后对全文进行了总结.

简介：智能电网在部署的过程中,电网的信息安全技术是非常重要的,要受到充足的考虑。所谓智能电网的信息安全,主要包括网络安全、数据的恢复与备份的安全、以及物理安全等技术。智能电网这种高度自动化的数字化电网,为人们带来了大大的便利,保证电网的安全运行,就成了保证高效工作的重中之重。下面,就让我们进行详细的探索与研究。

简介：2011年12月9日，云南省互联网协会会同云南省通信学会、云南省电机工程学会在昆明举办“通信新技术与智能电网发展论坛”．来自云南省通信和电力两大行业的科学技术人员及院校师生共162人参加了论坛。

简介：AutomationandsimulationofaerospaceprocessesattheNRCAerospaceManufacturingTechnologyCenter.Deadlockavoidanceinflexibleflowshopswithloops.Emergenceofintelligenceinnext-generationmanufacturingsystems.Howintelligentmanufacturingholonsconfigurethemselves.Industrialexperiences,trendsandfuturerequirementsonagent-basedintelligentautomation.

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简介：IntelligentControlofanAnaerobicDigester:Fuzzy-basedgainschedulingforageometricalapproach，Intelligentcontrolofanupperextremityhandorthosis，IntelligentControlofAutonomousRobotReactedtoMobileObjectwithImage，Intelligentcontrolofauxiliaryshipsystems，Intelligentcontrolofbuildingstosaveenergy……

简介：ABiologically-InspiredPlatformfortheEvolutionofCommunicationinMulti-AgentSystems.AdesignofevolutionarytuningPIDcontrollers.AHolonicApproachtoReconfiguringReal-TimeDistributedControlSystems.AlightweightapproachforembeddedreconfigurationofFPGAs.AmethodologyformodelingHoloniccontrolsystems.

简介：AdaptiveFuzzyControlofaBelt-DrivenPrecisionPositioningTable；AdaptiveFuzzyControllerWithSlidingSurfaceforVehicleSuspensionControl；AdaptiveHard;SoftControl；Adaptiveintelligentcontrolofeconomicalflowsbystochasticdynamics；Adaptivemodel-basedcontrolofroboticsystemswithahybridapproachcombiningneuralnetworksandfuzzylogic；Adaptiveneuralnetworkbasedapproachforactiveflowcontrol；Adaptive,intelligentcontrolofembeddedapplications；Advancedcontrolofrobotcompliancetasksusinghybridintelligentparadigms。

简介：AcoloredPetrinet-basedapproachtowardsaformalspecificationofagent-controlledproductionsystems，Acontext-dependentagentinconsiderationofthebufferusageforreal-timeschedulinginmanufacturingsystems，AContext-DependentAgentinCosiderationoftheBufferUsageforReal-TimeSchedulinginManufacturingSystems……

简介：Astudyondrillingprocesscontrolbyintelligentmachinetools(2ndreport)-minimizationoftotalmachiningtimeofdrillingmultipleholesconsideringthetoollife；AutonomousMentalDevelopmentinHighDimensionalStateandActionSpaces；Behavior-basedcontroltechniquesformobilerobotsusinganintelligentmachinearchitecture；Cropstatussensingbasedonmachinevisionforprecisionfarming；Developmentofashouldermechanismforthewearablerobot""SkilMate""(proposalanddesignofthewearableHEXAmechanism)；Developmentresearchofintelligentpitchingmachineusingneuralnetwork；

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简介：Anovelparadigmfortelemedicineusingthepersonalbio-monitor,Computertomographybaseddiagnosisusingextendedlogicprogrammingandartificialneuralnetworks.EstimationofrelevantdataforaSVM-classification.Evaluatinganintelligentdiagnosissystemofhistoricaltextcomprehension.Faultintelligentdiagnosisforhigh-pressurefeed-waterheatersystemofa300MWcoal-firedpowerunitbasedonimprovedBPneuralnetwork.

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简介：自从1984年美国出现了世界上第一座智能建筑，智能建筑的潮流席卷了欧洲、北美及亚洲的日本、台湾、新加坡等多个国家及地区。美国最新公布了《二十一世纪的技术：计算机、信息和通信》研究白皮书，为二十一世纪新技术在智能建筑中的应用与发展指出了方向。研究报告指出：“随着高新科技的不断发展，未来信息技术的应用将肯定建立在网络之上，

简介：尽管SQLServer的商务智能功能已经存在TIO多年。然而很多SQLServer的专家仍然不予使用。那么商务智能到底难在哪里？我觉得你可以把它们归纳为三个方面：术语、技术和工具。

简介：IntelligentprocessplanningSYstemforoptimalCNCprogramming-asteptowardscompleteautomationofCNCprogramming，Let'sseewhathappenifweintegrateAIplanningwithworkflowmanagementsystem，MAScollaborationandmachinelearningmethodforrobotsoccer，Predictionofinternalsurfaceroughnessindrillingusingthreefeedforwardneuralnetworks-acomparison……

简介：AHybridApproachforArabicspeechrecognition；ARobustRealTimePositionandForce(Hybrid)ControlofaRobotManipulatorinPresenceofUncertainties；AstudyofbankloansriskearlywarningbasedonahybridsystemofANNandES；AsynthesisofimmunesystemmodelwitDarwinianhereditary,neuralnetwork；AVOIDINGTHEUSEOFSIMILARITYSCOREINACASE-BASEDREASONINGSYSTEMFORCRIM1NALRECORDSSEARCHINGSYSTEM；DesignandImplementationofaSoccerRobotwithModularizedControlCircuits；DevelopmentofEvolutionaryModelsforLong-TermLoadForecastingofPowerPlantSystems。