简介：Thefluorineionsensitivefield-effecttransistor（F--ISFET）ismadebydepositingverythinLaF3filmongridoffield-effecttransistorwithsputtermethod.Theoperatingprinciple,measuringmethodandmeasuredresultsofF--ISFETaregiven.Themeasuredresultsshowthatthiskindofsensorhashighersensitivity,shorterresponsetimeandbetterlinearity.Onthebasisofexperimentalresults,thefactorofinfluencingthesteadinessandrepeatabilityofF--ISFETareconjectured.
简介：研究表明含氟气体的性质决定了原子氟（F）的转化效率,通常在CxFy气体中x的值越大,氟（F）的转化效率也就会越高。所以C3F8（八氟丙烷）比C2F6（乙氟烷）具有更高的利用效率,更少的PFC（全氟化物）的排放。文章主要研究在以四乙氧基硅烷（TOES）为基础的离子增强化学气相沉积（PlasmaEnhancedChemicalVaporDeposition,PECVD）的清洗制程中,利用分解效率高的C3F8气体取代C2F6气体。通过实验设计（DesignOfExperiment,DOE）,调整腔体压力、射频（RF）功率、气体流量等参数,最终得到最优化的新清洗配方。应用到实际的量产中,有效地降低了成本,减少了PFC的排放。
简介：TheconceptofF-knowledgeispresentedbyemployingS-roughsets.ByengraftingandpenetratingbetweentheF-knowledgegeneratedbyS-roughsetsandtheRSAalgorithm,thesecuritytransmissionandrecognitionofmulti-agentF-knowledgeareproposed,whichincludesthesecuritytransmissionofmulti-agentF-knowledgewithpositivedirectionsecretkeyandthesecuritytransmissionofmulti-agentF-knowledgewithreversedirectionsecretkey.Finally,therecognitioncriterionandtheapplicationsofF-knowledgearepresented.ThesecurityofF-knowledgeisanewapplicationresearchdirectionofS-roughsetsininformationsystems.
简介：Inthispaper,atechnicalandstatisticalanalysisofsecuritysystemandsecuritymanagementisprovidedforcrowdenergyandsmartliving.Atthesametime,aclearunderstandingismadeforcrowdenergyconceptandnextgenerationsmartliving.Variouscaseexampleshavebeenstudiedandabriefsummaryhasbeenprovided.Furthermore,astatisticalanalysishasbeenprovidedintermsofsecuritymanagementinsmartlivingwhereitisfoundthatyoungtechnocratsgivethehighestimportancetosecuritymanagementinsmartliving.Lastbutnottheleast,currentlimitation,constraints,andfuturescopeofsecurityimplementationhavebeendiscussedintermsofcrowdenergyclusteredwithnextgenerationsmartliving.
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：Basedonthewhiteningpropertyofwavelettransformationfor1/fnoise,thispaperaddressestheproblemofdetectingdeterministicsignalsinthepresenceof1/ffractalnoise.Thetransferfunctionofwhiteningfilterisprovidedaswellastheconditionforwhitening.ThereceiverstructurebasedonKarhunen-Loeveexpansionandthedecisionrulearealsogiven.Finallyperformanceofthedetectorisanalyzed.
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：Byusingtwo-directionalS-roughsets,theconceptsof(f,f)-interferencegenerationand(f,f)-inter-ferencelawgenerationofknowledge,F-interferencegenerationandF-interferencelawgenerationoftwo-directionalS-roughsetsareproposed.Basedontheconceptsabove,therelationtheoremsbetweenF-interferencelossandF-interferencedegree,therelationtheoremsbetweenF-interferencelosslawandF-interferencedegreelaw,thediscernibilitytheoremsbetweenF-interferenceandF-interferencelawarepresented.Atlast,therecognitioncriterionofF-interferencelawanditsapplicationaregiven.
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：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.
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