简介:整体变换(et)方法被显示了在为适应观察推广提供指导有用。它在整体subspace用它的相应转变矩阵为各可能的推广预言预报错误变化减小。在这份报纸,一个新基于et的敏感(et)方法,以分析错误变化减小计算预报错误变化减小的坡度,被建议为可能的适应观察指定区域。et是ET的第一顺序近似;它要求就一个转变矩阵的一计算,增加计算效率(在计算费用的60%80%减小)。ETS坡度的明确的数学明确的表达被导出并且描述。ET和et方法为比较被用于飓风艾琳(2011)箱子和一个重降雨箱子。数字结果暗示ETS和et估计的敏感区域是类似的。然而,et是更有效的,特别地当分辨率更高,整体成员的数字更大时。
简介:在这份报纸,我们与输入浸透,未知输入scalings和骚乱处理一个不明确的机器的操纵者的控制问题。为这个目的,一本模型参考书适应控制象一样(象MRAC一样)被用来处理输入浸透。模型引用是输入说马厩(ISS)并且由在要求的控制信号和输入浸透之间的错误开车。不明确的参数被使用机器的动力学的linear-in-the-parameters性质处理,当未知输入scalings和骚乱被non-regressor处理时基于的途径。我们的设计保证在靠近环的系统的所有信号被围住,并且追踪的错误收敛到取决于控制输入的预定界限的紧缩的集合。有二个关节的一个平面肘操纵者上的模拟被提供说明建议控制器的有效性。
简介:Theconventionaldirectpositiondetermination(DPD)algorithmprocessesallreceivedsignalsonasinglesensor.Whensensorshavelimitedcomputationalcapabilitiesorenergystorage,itisdesirabletodistributethecomputationamongothersensors.AdistributedadaptiveDPD(DADPD)algorithmbasedondiffusionframeworkisproposedforemitterlocalization.UnlikethecorrespondingcentralizedadaptiveDPD(CADPD)algorithm,allbutonesensorintheproposedalgorithmparticipateinprocessingthereceivedsignalsandestimatingthecommonemitterposition,respectively.ThecomputationalloadandenergyconsumptiononasinglesensorintheCADPDalgorithmisdistributedamongothercomputingsensorsinabalancedmanner.Exactlythesameiterativelocalizationalgorithmiscarriedoutineachcomputingsensor,respectively,andthealgorithmineachcomputingsensorexhibitsquitesimilarconvergencebehavior.ThedifferenceofthelocalizationandtrackingperformancebetweentheproposeddistributedalgorithmandthecorrespondingCADPDalgorithmisnegligiblethroughsimulationevaluations.
简介:在这份报纸,我们基于间接轻路径复用学习一套全球照明算法的评价变化。这些算法通常在第一张通行证包含二张通行证,间接轻样品的一个小数字被产生并且评估,并且他们然后被很多重建样品在第二张通行证再使用。我们的分析证明重建样品的协变性在高重建率下面统治评价变化并且增加重建率不能有效地减少协变性。我们也发现协变性代表到到什么度,间接轻样品在重建期间被再使用。这分析激发我们设计启发式的接近协变性以及一个适应采样计划基于这对还原剂启发式显示的变化。我们为间接点亮在间接的轻地重建算法和排列轴的过滤算法验证我们的分析和适应采样计划。实验根据我们显示人工制品能极大地以类似的计算成本被减少的分析和表演。
简介:Themediumaccesscontrol(MAC)protocolforindoorvisiblelightcommunication(VLC)withenergyharvestingisexploredinthispaper.Theunfairnessofthroughputexistsamongdevicesduetothesignificantdifferenceoftheirenergyharvestingrateswhichchangeswithdistance,acceptanceangleandtheobstructionprobability.Weproposeanenergyharvestingmodel,anewobstructionprobabilitymodelandanenergyadaptivecontentionalgorithmtoovercometheunfairnessproblem.Thisdevicecanadjustitscontentionwindowaccordingtotheenergyharvestingrate.Asaresult,thedevicewithlowerenergyharvestingratecangetshortercontentionwindowtoimproveitstransmissionopportunity.SimulationresultsshowthatourMACprotocolcanachieveahigherdegreeoffairness.
简介:Thebacktrackingsearchoptimizationalgorithm(BSA)isoneofthemostrecentlyproposedpopulation-basedevolutionaryalgorithmsforglobaloptimization.Duetoitsmemoryabilityandsimplestructure,BSAhaspowerfulcapabilitytofindglobaloptimalsolutions.However,thealgorithmisstillinsufficientinbalancingtheexplorationandtheexploitation.Therefore,animprovedadaptivebacktrackingsearchoptimizationalgorithmcombinedwithmodifiedHooke-Jeevespatternsearchisproposedfornumericalglobaloptimization.Ithastwomainparts:theBSAisusedfortheexplorationphaseandthemodifiedpatternsearchmethodcompletestheexploitationphase.Inparticular,asimplebuteffectivestrategyofadaptingoneofBSA’simportantcontrolparametersisintroduced.TheproposedalgorithmiscomparedwithstandardBSA,threestate-of-the-artevolutionaryalgorithmsandthreesuperioralgorithmsinIEEECongressonEvolutionaryComputation2014(IEEECEC2014)oversixwidely-usedbenchmarksand22real-parametersingleobjectivenumericaloptimizationbenchmarksinIEEECEC2014.Theresultsofexperimentandstatisticalanalysisdemonstratetheeffectivenessandefficiencyoftheproposedalgorithm.
简介:Thisworkproposesamethodtoconcurrentlycalibratemultipleacousticspeedsindifferentmediumswithaphotoacoustic(PA)andultrasound(US)dual-modalityimagingsystem.First,physicalinfrastructureinformationofthetargetisacquiredthroughaUSimage.Then,werepeatedlybuildPAimagesaroundaspecialtargettoyieldthebestfocusedresultbydynamicallyupdatingtheacousticspeedsinadifferentmediumofthetarget.Withthesecorrectacousticpropagationvelocitiesintheaccordingmediums,wecaneffectivelyoptimizethePAimagequalityastheexperimentsproved,whichmightbenefitfutureresearchinbiomedicalimagingscience.
简介:这份报纸基于模型引用论述一个新奇提高的人机器人的相互作用系统适应控制。介绍方法交付保证稳定性和任务性能并且让二控制环。一个机器人特定的内部环,是一个neuroadaptive控制器,在网上学习机器人动力学并且让机器人象一个规定阻抗模型一样反应。这个环不使用任务信息,包括没有规定轨道。一个任务特定的外部环考虑人的操作符动力学并且使规定机器人阻抗模特儿适应以便联合人机器人的系统为任务性能有理想的特征。这个图案基于模型参考适应控制,但是一种非标准的形式。网络结果是有扩充人的操作符提供人机器人的队的改进任务性能的两个适应阻抗特征和assistive输入的一个控制器。模拟在一项重复点对点的运动任务验证建议控制器的表演。一个PR2机器人上的实际试验性的实现进一步支持途径的有效性。
简介:Itissignificanttocombinemultipletasksintoanoptimalworkpackageindecision-makingofaircraftmaintenancetoreducecost,soacostratemodelofcombinatorialmaintenanceisanurgentneed.However,theoptimalcombinationundervariousconstraintsnotonlyinvolvesnumericalcalculationsbutalsoisanNP-hardcombinatorialproblem.Tosolvetheproblem,anadaptivegeneticalgorithmbasedonclustersearch,whichisdividedintotwophases,isputforward.Inthefirstphase,accordingtothedensity,allindividualscanbehomogeneouslyscatteredoverthewholesolutionspacethroughcrossoverandmutationandbetterindividualsarecollectedascandidateclustercentres.Inthesecondphase,thesearchisconfinedtotheneighbourhoodofsomeselectedpossiblesolutionstoaccuratelysolvewithclusterradiusdecreasingslowly,meanwhileallclusterscontinuouslymovetobetterregionsuntilallthepeaksinthequestionspaceissearched.Thisalgorithmcanefficientlysolvethecombinationproblem.Takingtheoptimizationondecision-makingofaircraftmaintenancebythealgorithmforanexample,maintenancewhichcombinesmultiplepartsortaskscansignificantlyenhanceeconomicbenefitwhenthehaltcostisratherhigh.
简介:Fortheissueofdeteriorationindetectionperformancecausedbydynamicallychangingenvironmentinultra-wideband(UWB)multipleinputmultipleoutput(MIMO)radar,thispaperproposesanoveladaptivewaveformdesignwhichisaimedtoimprovetheabilityofdiscriminatingtargetandclutterfromtheradarscene.Firstly,asequenceofMorletwaveletpulseswithfrequencyhoppingandpulsepositionmodulationbyWelch-Costasarrayisdesigned.Thenawaveformoptimizationsolutionisproposedwhichisachievedbyapplyingtheminimizationmutual-information(MI)strategy.Afterthat,withsubsequentiterationsofthealgorithm,simulationresultsdemonstratethattheoptimalwaveformdesignmethodbringsanimprovementinthetargetdetectionabilityinthepresenceofnoiseandclutter.
简介:Weestablishseveralfundamentalidentities,includingrecurrencerelations,degreeelevationformulas,partitionofunityandMarsdenidentity,forquantumBernsteinbasesandquantumBeziercurves.WealsodeveloptwotermrecurrencerelationsforquantumBernsteinbasesandrecursiveevaluationalgorithmsforquantumBeziercurves.Ourproofsusestandardmathematicalinductionandotherelementarytechniques.
简介:Theproblemoftherobustfaultdetectionfilterdesignfortime-varyingdelaysswitchedsystemsisconsideredintheframeworkofmixedH_-/H_∞.Firstly,theweightedH_∞performanceindexisutilizedastherobustnessperformance,andtheH_-indexisusedasthesensitivityperformanceforobtainingtherobustfaultdetectionfilter.ThenanovelmultipleLyapunov-Krasovskiifunctionisproposedforderivingsufficientexistenceconditionsoftherobustfaultdetectionfilterbasedontheaveragedwelltimetechnique.Byintroducingslackmatrixvariable,thecouplingbetweentheLyapunovmatrixandsystemmatrixisremoved,andtheconservatismofresultsisreduced.Basedontherobustfaultdetectionfilter,residualisgeneratedandevaluatedfordetectingfaults.Inaddition,theresultsofthispaperaredependentontimedelays,andrepresentedintheformoflinearmatrixinequalities.Finally,thesimulationexampleverifiestheeffectivenessoftheproposedmethod.
简介:对化合物[Na_2(H_2O)_(10)][Cu_4(H_2O)_(12)(H_2W_(12)O_(42))]·15H_2O(简称Na_2Cu_4W_(12))进行了体外抗肿瘤活性研究.应用四甲基偶氮唑盐(3-[4,5-dimethylthiazo-2-y]-2,5-diphenyltetrazoliumbromide,MTT)比色法分析Na_2Cu_4W_(12)对人肝癌细胞(HepG2)、人神经母细胞瘤细胞(SHY5Y)增殖抑制活性.采用光学显微镜观察肿瘤细胞的凋亡形态变化,用流式细胞术分析细胞周期和细胞凋亡,计算各期细胞比例及细胞凋亡率.结果表明,Na_2Cu_4W_(12)对HepG2和SHY5Y2种肿瘤细胞增殖半数抑制浓度IC_(50)值分别为5.3和10.2μmol·L~(-1),且呈剂量依赖性.光学显微镜下处理组细胞出现皱缩、变圆、缩小等形态变化,不同浓度Na_2Cu_4W_(12)处理12h早期凋亡细胞所占的百分比显著增加且呈剂量依赖性.综上所述,Na_2Cu_4W_(12)能够抑制胞瘤细胞增殖,诱导细胞凋亡.