简介:Theoptimizationpolicyofthepurchasepriceandtheprofitundervendormanagedinventory(VMI)isstudied.Forasalableproduct,supplychainmodeofVMIisestablished,whichisbasedondeterministicdemand,havinginitialstockandhavingstock-outcost.Withthefurtheranalysisofthemode,VMIisfoundtoincreaseprofitsofthebuyerintheshort-termmotivation.ButVMIwillreduceprofitsofthesupplierunderthematchingcondition.Andintheshorttermmotivation,VMIwillincreasethepurchasepricetocompensatethetransfercostofthesupplier.Asaresult,thefoundationoftheoryisprovidedtoimplementVMIinthesupplychain,andhavesomedefinitudedprojectsignificance.
简介:Transmissionperformanceofelectroabsorptionmodulatorin10Gb/stransmissionsystemshasbeensimulatedandanalyzedundertheconditionoftakingintoaccountthechirp,extinctionratio,transmissivityandrise/falltime.ResultsshowthatshorttransmissiondistancewithoutEDFAafterEAMcanbeusedinfuturemetropolitanareanetwork,butthetransmissivitymustbecarefullyconsidered.Thesamplingtimerangeanddecisionlevelcanbeoptimizedtoreducethebiterrorratio.
简介:小分子有铟听氧化物(ITO)的结构的器官的太阳能电池(振荡)/molybdenum三氧化物(MoO3)(5nm)/rubrene(nm)/fullerene(C70)(ynm)/2,9-dimethyl-4,7-diphenyl-1,10-phenanthroline(BCP)(6nm)/aluminum(艾尔)(150nm)被制作。为设备的活跃的层的厚度在细节被调查。结果证明rubrene层和C70层的最佳厚度分别地是30nm和25nm。设备的降级也被调查。,结果显示开电路的电压(Voc)不变化电线走火电流密度(Jsc),用时间连续地填满因素(FF)和功率变换效率(PCE)减少。降级能在周围的扩散并且渗透到活跃材料并且在房间与C70反应被归因于氧,它能导致界面的系列电阻的增加。
简介:基于飞机波浪方法,有在x-y飞机的45°的全部格子旋转的木柴堆结构photonic水晶的完全的禁止的乐队的光性质理论上以height-to-pitch比率,充满的因素,和旋转角度被学习。计算结果证明到中间差距的比率的差距随着充满的部分从0.25~0.30稍微变化。最佳height-to-pitch比率是大约1.3。当旋转角度与1.3的经常的height-to-pitch比率从42°从40°增加到50°和最大的差距到为旋转角度未改变的0.2个遗体的中间差距的比率到48°时,到中间差距的比率的差距到达超过0.18。当height-to-pitch比率是1.3时,到中间差距的比率的差距到达0.2的最大的价值。这木柴堆类型photonic晶体能在一个更宽的参数范围以内提供大乐队差距,它使在实验室生产三维的photonic晶体方便。
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:Energyconsumptionofsensornodesisoneofthecrucialissuesinprolongingthelifetimeofwirelesssensornetworks.Oneofthemethodsthatcanimprovetheutilizationofsensornodesbatteriesistheclusteringmethod.Inthispaper,weproposeagreenclusteringprotocolformobilesensornetworksusingparticleswarmoptimization(PSO)algorithm.Wedefineanewfitnessfunctionthatcanoptimizetheenergyconsumptionofthewholenetworkandminimizetherelativedistancebetweenclusterheadsandtheirrespectivemembernodes.Wealsotakeintoaccountthemobilityfactorwhendefiningtheclustermembership,sothatthesensornodescanjointheclusterthathasthesimilarmobilitypattern.Theperformanceoftheproposedprotocoliscomparedwithwell-knownclusteringprotocolsdevelopedforwirelesssensornetworkssuchasLEACH(low-energyadaptiveclusteringhierarchy)andprotocolsdesignedforsensornetworkswithmobilenodescalledCM-IR(clusteringmobility-invalidround).Inaddition,wealsomodifytheimprovedversionofLEACHcalledMLEACH-C,sothatitisapplicabletothemobilesensornodesenvironment.SimulationresultsdemonstratethattheproposedprotocolusingPSOalgorithmcanimprovetheenergyconsumptionofthenetwork,achievebetternetworklifetime,andincreasethedatadeliveredatthebasestation.
简介:Theprobe-fedpatchantennaswereproposedbychangingtheparameterssuchasdielectricmaterialsanddimensionsofpatchfordetailinvestigationofchangesinoutputcharacteristics.Fourrectangularslotswereintroducedseparatelyforoptimizingtheantennadesignandcharacteristics.Thisstudyillustratedthechangesofoutputcharacteristicsofanantennawithrespecttothenumberofintroducedslotsontheradiatingpatchinadditiontotheeffectofvariousdielectricmaterialsonantennaperformances.Theantennaperformanceswereanalyzedbyplottingtheobservationofvariousdielectricmaterials.Thechangesofantennacharacteristicswerealsoobservedbyintroducingfournumbersofslotsoneachedgeofthepatchtoimproveradiationcharacteristicswithawiderimpedancebandwidth.
简介:Howtodealwiththecollaborationbetweentaskdecompositionandtaskschedulingisthekeyproblemoftheintegratedmanufacturingsystemforcomplexproducts.Withthedevelopmentofmanufacturingtechnology,wecanprobeanewwaytosolvethisproblem.Firstly,anewmethodfortaskgranularityquantitativeanalysisisputforward,whichcanpreciselyevaluatethetaskgranularityofcomplexproductcooperationworkflowintheintegratedmanufacturingsystem,ontheabovebasis;thismethodisusedtoguidethecoarse-grainedtaskdecompositionandrecombinethesubtaskswithlowcohesioncoefficient.Then,amulti-objectiveoptimieationmodelandanalgorithmaresetupfortheschedulingoptimizationoftaskscheduling.Finally,theapplicationfeasibilityofthemodelandalgorithmisultimatelyvalidatedthroughanapplicationcasestudy.
简介:Agenetic-optimizationframeworkbasedonthepartialcooperationcommunicationprotocolisproposedforscalablevideocoding(SVC)streamtransmissionundermulti-relayamplifyandforwardcooperativenetworks.Unliketraditionalcooperativetransmissionschemes,thetransmissionmodeforeachcodedunitinthisnewprotocolcanbeswitchedflexiblybetweendirecttransmissionandcooperativetransmission.Obviously,underthisprotocol,thebandwidthefficiencyandtransmissionrobustnesscanbebalancedadaptivelyaccordingtotheprioritylevelofcodedunitsandwirelesschannelfadingcharacteristics.Basedonthis,awell-knowngeneticoptimizationalgorithm-differentialevolutionisexploitedheretofindthejointlyoptimaltransmissionmodes,powerallocationandunequalerrorprotection(UEP)channelcodingstrategiestominimizetheendtoendreconstructedvideodistortion.Extensivesimulationresultsshowthat,comparedwithclassicaloptimalcooperativeUEPtransmissionschemes,theproposedoptimizedtransmissionframeworkbasedonthepartialcooperativeprotocolcanbringsignificantpeak-signal-to-noise-ratio(PSNR)gainsforthereconstructedvideoinavarietyofchannelbandwidth,powerbudgetandtestsequences.
简介:Awayofresolvingspreadingcodemismatchesinblindmultiuserdetectionwithaparticleswarmoptimization(PSO)approachisproposed.IthasbeenshownthatthePSOalgorithmincorporatingthelinearsystemofthedecorrelatingdetector,whichistermedasdecorrelatingPSO(DPSO),cansignificantlyimprovethebiterrorrate(BER)andthesystemcapacity.Asthecodemismatchoccurs,theoutputBERperformanceisvulnerabletodegradationforDPSO.Withablinddecorrelatingscheme,theproposedblindDPSO(BDPSO)offersmorerobustcapabilitiesoverexistingDPSOundercodemismatchscenarios.
简介:Toreachahigherlevelofautonomyforunmannedcombataerialvehicle(UCAV)inaircombatgames,thispaperbuildsanautonomousmaneuverdecisionsystem.Inthissystem,theaircombatgameisregardedasaMarkovprocess,sothattheaircombatsituationcanbeeffectivelycalculatedviaBayesianinferencetheory.Accordingtothesituationassessmentresult,adaptivelyadjuststheweightsofmaneuverdecisionfactors,whichmakestheobjectivefunctionmorereasonableandensuresthesuperioritysituationforUCAV.Astheaircombatgameischaracterizedbyhighlydynamicandasignificantamountofuncertainty,toenhancetherobustnessandeffectivenessofmaneuverdecisionresults,fuzzylogicisusedtobuildthefunctionsoffourmaneuverdecisionfactors.Accuracypredictionofopponentaircraftisalsoessentialtoensuremakingagooddecision;therefore,apredictionmodelofopponentaircraftisdesignedbasedontheelementarymaneuvermethod.Finally,themovinghorizonoptimizationstrategyisusedtoeffectivelymodelthewholeaircombatmaneuverdecisionprocess.Varioussimulationsareperformedontypicalscenariotestandclose-indogfight,theresultssufficientlydemonstratethesuperiorityofthedesignedmaneuverdecisionmethod.
简介:CooperativepathdynamicplanningofaUCAV(unmannedcombatairvehicle)teamnotonlyconsidersthecapabilityoftaskrequirementofsingleUCAV,butalsoconsidersthecooperativedynamicconnectionamongmembersoftheUCAVteam.AcooperativepathdynamicplanningmodeloftheUCAVteambyapplyingaglobaloptimizationmethodisdiscussedinthispaperandthecorrespondingmodelisbuiltandanalyzed.Bytheexamplesimulation,thereasonableresultacquiredindicatesthatthemodelcouldmeetdynamicplanningdemandunderthecircumstanceofmembershipfunctions.Themodeliseasytoberealizedandhasgoodpracticability.
简介:Aimingtoreducethecomputationalcostsandconvergetoglobaloptimum,anovelmethodisproposedtosolvetheoptimizationofacostfunctionintheestimationofdirectionofarrival(DOA).Inthismethod,ageneticalgorithm(GA)andfuzzydiscreteparticleswarmoptimization(FDPSO)areappliedtooptimizethedirectionofarrivalandpowerparametersofthemodesimultaneously.Firstly,theGAalgorithmisappliedtomakethesolutionfallintotheglobalsearching.Secondly,theFDPSOmethodisutilizedtonarrowdownthesearchfield.InFDPSO,achaoticfactorandacrossovermethodareaddedtospeeduptheconvergence.Thisapproachhasbeendemonstratedthroughsomecomputationalsimulations.ItisshownthattheproposedalgorithmcanestimateboththeDOAandthepowersaccurately.Itismoreefficientthansomepresentmethods,suchastheNewton-likealgorithm,Akaikeinformationcritical(AIC),particleswarmoptimization(PSO),andgeneticalgorithmwithparticleswarmoptimization(GA-PSO).
简介:Inthispaper,anewmodelbasedonanimprovedBrentKung(BK)parallelprefixnetwork(PPN)algorithmisproposedandrealizedinthefieldprogrammablegatearray(FPGA).Thismodelisemployedintheimplementationof20Gb/sdifferentialquadraturephase-shiftkeying(DQPSK)precoderin40Gb/spolarizationdivisionmultiplex(PolDM)DQPSKsystem.Inthecomputationprocess,thecomputationcomplexity(area)optimizationwithfan-outlimitedisachieved.Intheimplementation,770FPGAsliceregistersareutilized,whichsaveabout60%logicresourcescomparedwiththepreviousKoggeStone(KS)algorithm.
简介:Tobeclosetothepracticalflightprocessandincreasetheprecisionofoptimaltrajectory,asix-degree-offreedom(6-DOF)trajectoryisoptimizedforthereusablelaunchvehicle(RLV)usingtheGausspseudospectralmethod(GPM).DifferentfromthetraditionaltrajectoryoptimizationproblemwhichgenerallyconsiderstheRLVasapointmass,thecouplingbetweentranslationaldynamicsandrotationaldynamicsistakenintoaccount.Anoptimizationproblemisformulatedtominimizeaperformanceindexsubjectto6-DOFequationsofmotion,includingtranslationalandrotationaldynamics.Atwo-stepoptimalstrategyisthenintroducedtoreducethelargecalculationscausedbymultiplevariablesandconvergenceconfinementin6-DOFtrajectoryoptimization.Thesimulationresultsdemonstratethatthe6-DOFtrajectoryoptimalstrategyforRLVisfeasible.
简介:Afuzzyparticleswarmoptimization(PSO)onthebasisofelitearchivingisproposedforsolvingmulti-objectiveoptimizationproblems.First,anewperturbationoperatorisdesigned,andtheconceptsoffuzzyglobalbestandfuzzypersonalbestaregivenonbasisofthenewoperator.Afterthat,particleupdatingequationsarerevisedonthebasisofthetwonewconceptstodiscouragetheprematureconvergenceandenlargethepotentialsearchspace;second,theelitearchivingtechniqueisusedduringtheprocessofevolution,namely,theeliteparticlesareintroducedintotheswarm,whereastheinferiorparticlesaredeleted.Therefore,thequalityoftheswarmisensured.Finally,theconvergenceofthisswarmisproved.TheexperimentalresultsshowthatthenondominatedsolutionsfoundbytheproposedalgorithmareuniformlydistributedandwidelyspreadalongtheParetofront.
简介:ThetransmissionerrorcodeperformanceofsquareMQAMandstarMQAMmodulationschemesfortheAGWNRayleighfadingchannelisanalyzed.ThecorrespondingBERformulasandcomputeraidednumericresultsaregiven.ThereforeitprovidesatheoreticalbasisforchoosingMQAMmodulationschemesinmobilecommunications.
简介:Thispaperconcernstheproblemofobjectsegmentationinreal-timeforpickingsystem.Aregionproposalmethodinspiredbyhumanglancebasedontheconvolutionalneuralnetworkisproposedtoselectpromisingregions,allowingmoreprocessingisreservedonlyfortheseregions.Thespeedofobjectsegmentationissignificantlyimprovedbytheregionproposalmethod.Bythecombinationoftheregionproposalmethodbasedontheconvolutionalneuralnetworkandsuperpixelmethod,thecategoryandlocationinformationcanbeusedtosegmentobjectsandimageredundancyissignificantlyreduced.Theprocessingtimeisreducedconsiderablybythistoachievetherealtime.Experimentsshowthattheproposedmethodcansegmenttheinterestedtargetobjectinrealtimeonanordinarylaptop.
简介:Mostofthemaintenanceoptimizationmodelsincondition-basedmaintenance(CBM)considerthecost-optimalcriterion,butfewpapershavedealtwithavailabilitymaximizationformaintenanceapplications.AnoveloptimalBayesiancontrolapproachispresentedformaintenancedecisionmaking.Thesystemdeteriorationevolvesasathree-statecontinuoustimehiddensemi-Markovprocess.Consideringtheoptimalmaintenancepolicy,themultivariateBayesiancontrolschemebasedonthehiddensemi-Markovmodel(HSMM)isdeveloped,theobjectiveistomaximizethelong-runexpectedaverageavailabilityperunittime.Theproposedapproachcanoptimizethesamplingintervalandcontrollimitjointly.AcasestudyusingMarkovchainMonteCarlo(MCMC)simulationisprovidedandacomparisonwiththeBayesiancontrolschemebasedonhiddenMarkovmodel(HMM),theage-basedreplacementpolicy,Hotelling’sT2,multivariateexponentiallyweihtedmovingaverage(MEWMA)andmultivariatecumulativesum(MCUSUM)controlchartsisgiven,whichillustratestheeffectivenessoftheproposedmethod.