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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：UnderType-IIprogressivelyhybridcensoring,thispaperdiscussesstatisticalinferenceandoptimaldesignonstepstresspartiallyacceleratedlifetestforhybridsysteminpresenceofmaskeddata.ItisassumedthatthelifetimeofthecomponentinhybridsystemsfollowsindependentandidenticalmodifiedWeibulldistributions.Themaximumlikelihoodestimations(MLEs)oftheunknownparameters,accelerationfactorandreliabilityindexesarederivedbyusingtheNewton-Raphsonalgorithm.Theasymptoticvariance-covariancematrixandtheapproximateconfidenceintervalsareobtainedbasedonnormalapproximationtotheasymptoticdistributionofMLEsofmodelparameters.Moreover,twobootstrapconfidenceintervalsareconstructedbyusingtheparametricbootstrapmethod.TheoptimaltimeofchangingstresslevelsisdeterminedunderD-optimalityandA-optimalitycriteria.Finally,theMonteCarlosimulationstudyiscarriedouttoillustratetheproposedprocedures.

简介：Duetothedemandofdataprocessingforpolariceradarinourlaboratory,aCurveletThresholdingNeuralNetwork(TNN)noisereductionmethodisproposed,andanewthresholdfunctionwithinfinite-ordercontinuousderivativeisconstructed.ThemethodisbasedonTNNmodel.InthelearningprocessofTNN,thegradientdescentmethodisadoptedtosolvetheadaptiveoptimalthresholdsofdifferentscalesanddirectionsinCurveletdomain,andtoachieveanoptimalmeansquareerrorperformance.Inthispaper,thespecificimplementationstepsarepresented,andthesuperiorityofthismethodisverifiedbysimulation.Finally,theproposedmethodisusedtoprocesstheiceradardataobtainedduringthe28thChineseNationalAntarcticResearchExpeditionintheregionofZhongshanStation,Antarctica.Experimentalresultsshowthattheproposedmethodcanreducethenoiseeffectively,whilepreservingtheedgeoftheicelayers.

简介：Asanimportantapplicationresearchtopicoftheintelligentaviationmulti-station,collaborativedetectingmustovercometheproblemofscoutingmeasurementwithstatusof“fragmentation”,andtheNP-hardnessproblemofmatchingassociationbetweentargetandmeasurementintheprocessofscoutingtodata-link,whichhascomplicatedtechnicalarchitectureofnetworkconstruction.Inthispaper,takingadvantageofcooperationmechanismonsignallevelintheaviationmulti-stationsympatheticnetwork,amethodofobtainingtargettimedifferenceofarrival(TDOA)measurementusingmulti-stationcollaborativedetectingbasedontime-frequencyassociationisproposed.Themethodcannotonlyachievematchingbetweentargetanditsmeasurement,butalsoobtainTDOAmeasurementbyfurtherevolutionarytransactionthroughrefreshingsequentialpulsetimeofarrival(TOA)measurementmatrixformatchingandcorrelating.SimulationresultsshowthattheaccuracyofTDOAmeasurementhassignificantsuperiorityoverTOA,anddetectionprobabilityoffalseTDOAmeasurementintroducedbynoiseandfakemeasurementcanbereducedeffectively.

简介：ThearchitectureandprotocolsofInternetcan'tworkwellinspaceenvironments.Toformareliableandsafespacenetwork,characteristicsofspacecommunicationnetworkonediscusse,briefsynthesisisperformedforconsultativecommitteeforspacedatasystem(CCSDS)spacecommunicationsprotocolstandards(SCPS),andamodelaccountingfordatasecurityproblemofspace-earthintegratednetworkisprovided.

简介：Thehigh-densitypopulationleadstocrowdedcities.Thefuturecityisenvisagedtoencompassalarge-scalenetworkwithdiverseapplicationsandamassivenumberofinterconnectedheterogeneouswireless-enableddevices.Hence,greentechnologyelementsarecrucialtodesignsustainableandfuture-proofnetworkarchitectures.Theyarethesolutionsforspectrumscarcity,highlatency,interference,energyefficiency,andscalabilitythatoccurindenseandheterogeneouswirelessnetworksespeciallyinthehomeareanetwork(HAN).Radio-over-fiber(ROF)isatechnologycandidatetoprovideaglobalviewofHAN’sactivitiesthatcanbeleveragedtoallocateorthogonalchannelcommunicationsforenablingwireless-enabledHANdevicestransmission,withconsideringtheclustered-frequency-reuseapproach.Ourproposednetworkarchitecturedesignismainlyfocusedonenhancingthenetworkthroughputandreducingtheaveragenetworkcommunicationslatencybyproposingadataaggregationunit(DAU).TheperformanceshowsthatwiththeDAU,theaveragenetworkcommunicationslatencyreducessignificantlywhilethenetworkthroughputisenhanced,comparedwiththeexistingROFarchitecturewithouttheDAU.

简介：Theimplementationofwirelesstechnologiesbasedonthevehicularadhocsensornetwork(VASNET)mayprovidesupportforthesearchandrescue(SAR)teamtooperateeffectivelyinnaturaldisasterevents,suchaslandslide,earthquake,flooding,andtsunami.TheoperationsofSARteamareverychallenginginsucheventsduetothepossibledamagesoftheexistingtelecommunicationinfrastructures.Theexistingdeploymentofthecellularcommunicationsinfrastructuremaybepartiallyorcompletelydestroyedaftertheoccurrenceofthesenaturaldisasters.Thus,thecurrentVASNETinfrastructuremustbeabletosupporttheinfrastructure-lessnetworkbyintegratingothergreenwirelesstechnologiesthatcanbenefittheSARteam,whichcanindirectlysavemorehumanlivesandreducethenumberofcasualties.Therefore,theintegrationofgreenInternetofthings(IoT)andVASNETisproposedtoformaheterogeneousframeworkfordatadisseminationinSARoperations.Inaddition,thispaperalsodiscussestheexistingIoTframeworkindisasterscenarioswithfutureresearchdirectionforIoTusingonanyaspect,especiallyrelatedtothenaturaldisasterscenarios.

简介：ThispaperpresentsaDynamicCross-layerDataQueueManagementapproach(DC-DQM)basedonprioritytoaddresstheprioritydeviationprobleminDelay-TolerantMobileSensorNetworks(DT-MSNs).Receiver-drivendatadeliveryschemeisusedforfastresponsetodatatransfers,andaprioritybasedinteractionmodelisadoptedtoidentifythedatapriority.Threeinteractiveparametersareintroducedtoprioritizeanddynamicallymanagedataqueue.Theexperimentalresultsshowthatitcanamelioratedatadeliveryratioandachievegoodperformanceintermsofaveragedelay.

简介：Underthecomplicatedelectromagnetismcircumstance,themodelofdatafusioncontrolandguidanceofsurface-to-airmissileweaponsystemsisestablished.SuchwaysandtheoriesasElman-NN,radartrackingandfilter’sdatafusionnetbasedonthegroupmethodfordata-processing(GMRDF)areappliedtoconstructingthemodelofdatafusion.Thehighlyreliablestateestimationofthetrackingtargetsandtheimprovementinaccuracyofcontrolandguidanceareobtained.Thepurposeisoptimizationdesignofdatafusioncontrolandguidanceofsurface-to-airmissileweaponsystemsandimprovingthefightingeffectivenessofsurface-to-airmissileweaponsystems.

简介：在没有第二等的数据的compound-Gaussian喧嚷的适应雷达察觉的问题在这个paper.In大多数被认为实际应用，训练数据的数字是克服的limited.To训练数据的缺乏，一个autoregressive(AR)-processbased协变性矩阵评估者是proposed.Then，没有data.Finally训练，与一步舞概括了的估计的协变性矩阵，可能性的比率测试(GLRT)察觉者被设计，我们的建议察觉者的察觉性能被估计