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简介：Basedonhighorderdynamicneuralnetwork,thispaperpresentsthetrackingproblemforuncertainnonlinearcompositesystem,whichcontainsexternaldisturbance,whosenonlinearitiesareassumedtobeunknown.Asmoothcontrollerisdesignedtoguaranteeauniformultimateboundednesspropertyforthetrackingerrorandallothersignalsintheclosedloop.Certainmeasuresareutilizedtotestitsperformance.Noaprioriknowledgeofanupperboundonthe'optimal'weightandmodelingerrorisrequired;theweightsofneuralnetworksareupdatedon-line.Numericalsimulationsperformedonasimpleexampleillustrateandclarifytheapproach.

简介：Inthispaper,amulti-objectiveparticleswarmoptimization(MOPSO)algorithmandanondominatedsortinggeneticalgorithmⅡ(NSGA-Ⅱ)areusedtooptimizetheoperatingparametersofa1.6L,sparkignition(SI)gasolineengine.Theaimofthisoptimizationistoreduceengineemissionsintermsofcarbonmonoxide(CO),hydrocarbons(HC),andnitrogenoxides(NOx),whicharethecausesofdiverseenvironmentalproblemssuchasairpollutionandglobalwarming.Stationaryenginetestswereperformedfordatageneration,covering60operatingconditions.Artificialneuralnetworks(ANNs)wereusedtopredictexhaustemissions,whoseinputswerefromsixengineoperatingparameters,andtheoutputswerethreeresultingexhaustemissions.TheoutputsofANNswereusedtoevaluateobjectivefunctionswithintheoptimizationalgorithms:NSGA-ⅡandMOPSO.Thenadecision-makingprocesswasconducted,usingafuzzymethodtoselectaParetosolutionwithwhichthebestemissionreductionscanbeachieved.TheNSGA-Ⅱalgorithmachievedreductionsofatleast9.84%,82.44%,and13.78%forCO,HC,andNOx,respectively.WithaMOPSOalgorithmthereachedreductionswereatleast13.68%,83.80%,and7.67%forCO,HC,andNOx,respectively.

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简介：BACKGROUND:Duetothelackofautografttransplantrejection,Schwanncells(SCs)canpromotetheproliferationofembryonicstemcellsandtheinductionofdopaminergicneurons.Mesencephalicstemcellscanbeinducedtoproducedopaminergicneurons.Thetherapeuticeffectsofco-graftsofSCsandneuralstemcells(NSCs)deservesfurtherstudyandverificationinParkinsoniananimalmodels.OBJECTIVE:ToinvestigatetheeffectsofSchwanncellsandmesencephalicNSCco-graftsinParkinsoniananimalmodelsonanimalbehaviorandhistology.DESIGN:Randomizedcontrolledexperiment.SETTING:FudanUniversity;InstituteofNeuroscience,ChineseAcademyofSciences.MATERIALS:ThefollowinganimalswereobtainedfromtheExperimentalAnimalCenter,ShanghaiInstituteforBiologicalScience,ChineseAcademyofSciences:5Sprague-Dawleyrats,embryonicday(E)13-16;16neonatalSprague-Dawleyrats,postnatalday1-3;and18adultSDratsofbothgenders.Animalexperimentationmetanimalethicalapproval.METHODS:TheexperimentwasperformedattheDepartmentofAnatomy,HistologyandEmbryology,ShanghaiMedicalCenter,FudanUniversityfromSeptember2005toJanuary2007.ThemesencephalicNSCswereobtainedfromthebrainsofSDratsatE13-16,andSCswereharvestedfromthesciaticnervesofneonatalratsatday1-3.Hemiparkinsonianrats(n=18)wereselectedfortransplantationafterestimatingrotationalbehaviorinresponsetoapomorphineandwererandomlyassignedtothreegroups:controlgroup,NSCgroup,andco-graftgroup.Therewere6ratsineachgroup.Eitherphosphatebufferedsaline(PBS),NSCs,orSCsplusNSCsweretransplantedintotherightneostriatumofParkinsonianrats,respectively.MAINOUTCOMEMEASURES:①Rotationalbehaviorwasinducedbyapomorphine(0.05mg/kg,i.p.)2,4,6,8,and10weeksaftertransplantation,andthenumberofrotationswerecounted.②Differentiationandsurvivalofdopaminergicneuronsintherightneostriatumwerequantifiedbytyrosinehydroxylaseimmu

简介：客观：为了探索可行性构造遗传工程人，神经干细胞(hNSCs)由lentivirus调停了多表示基因以便为针的绳索损害(SCI)的进一步的研究提供接枝来源。方法：从人的流产胎的大脑外皮的人的神经干细胞被孤立并且有教养，然后，基因被lentivirus修改两个都表示绿荧光蛋白质(GFP)和老鼠neurotrophin-3(NT-3)；转基因的表示被荧光显微镜，胎儿的老鼠的背面的根中心和槽污点的方法检测。结果：遗传工程hNSCs成功地被构造。所有在荧光显微镜下面表示了明亮绿的荧光的遗传工程hNSCs被观察。转基因的hNSCs的调节媒介能导致从背面的根中心(DRG)挥舞长出的神经突。遗传工程hNSCs表示了高级NT-3which能被使用槽污点检测。结论：遗传工程hNSCs调停了bylentivirus能被构造多成功地表示基因。

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简介：在这篇论文，全球asymptotic稳定性与变化时间、分布式的延期为Cohen-Grossberg神经网络的一个班被调查。由使用功能的Lyapunov-Krasovskii和考虑系统的相等的描述符形式，几延期依赖者足够的条件被获得保证探讨的系统的asymptotic稳定性。这些条件依赖于变化时间、分布式的延期并且以LMI介绍并且因此，如此的系统的稳定性标准能被诉诸MatlabLMI工具箱乐意地检查。最后，一个例子被给显示出有效性和建议方法的更少的保守主义。

简介：Allkindsofreasonsareanalysedintheoryandafaultrepositorycombinedwithlocalexpertexperiencesisestablishedaccordingtothestructureandtheoperationcharacteristicofsteamgeneratorinthispaper.Atthesametime,Kohonenalgo-rithmisusedforfaultdiagnosessystembasedonfuzzyneuralnetworks.Fuzzyarithmeticisinductedintoneuralnetworkstosolveuncertaindiagnosisinducedbyuncertainknowledge.Accordingtoitsself-associationinthecourseofdefaultdiagnosis.thesystemisprovidedwithnon-supervise,self-organizing,self-learning,andhasstrongclusterabilityandfastclustervelocity.

简介：在这篇论文，有变化时间的延期的神经网络的全球指数的柔韧的稳定性被调查。由使用非否定的矩阵理论和Halanay不平等，为全球指数的柔韧的稳定性的一个新足够的条件被介绍。获得的结果与不同或改进在文学报导的一些存在的，这被显示出。最后，一些数字例子和模拟被给显示出获得的结果的有效性。

简介：Heterogeneouscellularnetworksimprovethespectrumefficiencyandcoverageofwirelesscommunicationnetworksbydeployinglowpowerbasestation(BS)overlappingtheconventionalmacrocell.ButduetothedisparitybetweenthetransmitpowersofthemacroBSandthelowpowerBS,cellassociationstrategydevelopedfortheconventionalhomogeneousnetworksmayleadtoahighlyunbalancedtrafficloadingwithmostofthetrafficconcentratedonthemacroBS.Inthispaper,weproposeaload-balancecellassociationschemeforheterogeneouscellularnetworkaimingtomaximizethenetworkcapacity.Byrelaxingtheassociationconstraints,wecangettheupperboundofoptimalsolutionandconverttheprimalproblemintoaconvexoptimizationproblem.FurthermoreweproposeaLagrangemultipliersbaseddistributedalgorithmbyusingLagrangedualtheorytosolvetheconvexoptimization,whichconvergestoanoptimalsolutionwithatheoreticalperformanceguarantee.Withtheproposedalgorithm,mobileterminals(MTs)needtojointlyconsidertheirtraffictype,receivedsignal-to-interference-noise-ratios(SINRs)fromBSs,andtheloadofBSswhentheychooseserverBS.SimulationresultsshowthattheloadbalancebetweenmacroandpicoBSisachievedandnetworkcapacityisimprovedsignificantlybyourproposedcellassociationalgorithm.

简介：Inthispaper,anovelframework,namedasglobal-localfeatureattentionnetworkwithrerankingstrategy(GLAN-RS),ispresentedforimagecaptioningtask.Ratherthanonlyadoptingunitaryvisualinformationintheclassicalmodels,GLAN-RSexplorestheattentionmechanismtocapturelocalconvolutionalsalientimagemaps.Furthermore,weadoptrerankingstrategytoadjustthepriorityofthecandidatecaptionsandselectthebestone.TheproposedmodelisverifiedusingtheMicrosoftCommonObjectsinContext(MSCOCO)benchmarkdatasetacrosssevenstandardevaluationmetrics.ExperimentalresultsshowthatGLAN-RSsignificantlyoutperformsthestate-of-the-artapproaches,suchasmultimodalrecurrentneuralnetwork(MRNN)andGoogleNIC,whichgetsanimprovementof20%intermsofBLEU4scoreand13pointsintermsofCIDERscore.

简介：Non-centernetworkcomputingenvironmentshavesomeuniquecharacteristics,suchasinstability,heterogeneity,autonomy,distributionandopenness,whichbringseriousissuesofsecurityandreliability.Thisarticleproposesabrand-newcredibilityprotectionmechanismforresourcesharingandcollaborationinnon-centernetworkcomputingenvironments.First,thethree-dimensionalhierarchicalclassifiedtopology(3DHCT)isproposed,whichprovidesabasicframeworkforrealizationsoftheidentitycredibility,thebehaviorcredibilityandthecapabilitycredibility.Next,theagenttechnologyisutilizedtoconstructthecredibilityprotectionmodel.Thisarticlealsoproposesanewcomprehensivecredibilityevaluationalgorithmwithsimple,efficient,quantitativeandabletomeettherequirementsofevaluatingbehaviorcredibilityandthecapabilitycredibilityevaluationaswell.TheDempster-Shafertheoryofevidenceandthecombinationruleareusedtoachievetheevaluationofthecapabilitycredibility.Thebehaviorcredibilityisevaluatedwiththecurrentandhistoricalperformanceofnodesforprovidersandconsumerstorealizemoreaccurateprediction.Basedonthenon-centernetworkcomputingsimulationtestplatform,simulationisbeenconductedtotesttheperformanceandvalidityoftheproposedalgorithms.Experimentandanalysisshowthattheproposedalgorithmsaresuitableforlarge-scale,dynamicnetworkcomputingenvironments,andabletomaintainthecredibilityfornetworkswithoutrelyingoncentralnode,makeanon-centernetworkgraduallyevolveintoanorderly,stableandreliablecomputingenvironmentefficiently.

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简介：这篇论文基于联网的控制系统为延期系统的一个类集中于稳定性分析和控制器设计的问题。由介绍一些免费矩阵变量，为稳定性分析和基于观察员的控制法律设计的一些标准能被解决线性矩阵不平等获得。一个数字例子也被提供证明建议方法的有效性。

简介：Basedonanalysesofthespatio-temporalevolutionarycharacteristicsofteleseismicresponserecordedbyFu-jiansubsurfacefluidnetworkandincombinationwithearthquakeshappenedinFujianprovinceduringthesameperiod,thispaperpointsoutthatthestep-likerisingofwaterlevelafterdistantearthquakesmayincludesomeregionalstressfieldinformation,andtheareawherewaterlevelstep-likerisescouldbethepositionthatthestressconcentratedonandwherethefutureearthquakeswouldoccur.Ifcombinedwithotherimpendingprecursors,thelocationoftheeventsmaybepredictedtoacertaindegree.

简介：Duetotheenergyandresourceconstraintsofawirelesssensornodeinawirelesssensornetwork(WSN),designofenergy-efficientmultipathroutingprotocolsisacrucialconcernforWSNapplications.Toprovidehigh-qualitymonitoringinformation,manyWSNapplicationsrequirehigh-ratedatatransmission.Multipathroutingprotocolsareoftenusedtoincreasethenetworktransmissionrateandthroughput.Althoughlarge-scaleWSNcanbesupportedbyhighbandwidthbackbonenetwork,theWSNremainsthebot...

简介：在一个二维的方形的数组的螺线波浪的开发由于部分离子隧道块(钾，钠)被调查，节点的动力学被HodgkinHuxley神经原描述，这些神经原最近被结合邻居连接。参数比率xNa(并且xK)，它定义钠(钾)的工作离子隧道数字的比率到钠的全部的离子隧道数字(并且钾)，被用来测量隧道块导致的移动传导力。在二参数的阶段空间(参数比率对毒害的区域)的统计可变R的分发广泛地被计算为部分离子隧道块导致的螺线波浪的转变标记参数区域，有同步R的更小的因素的区域被联系那个螺线波浪使明白毒害的隧道、柔韧的参数区域。当毒害的区域(钾或钠)和沉醉的度是小的时，螺线波浪保持活着，不同转变(死亡，几个螺线波浪共存或多手臂螺线波浪出现)发生在中等比率xNa下面(并且xK)当堵住的区域的尺寸超过某些阀值时。螺线波浪的决裂发生，螺线的多手臂飘动当隧道噪音被考虑时，被观察。

简介：一个新奇顺序的蒙特卡罗(SMC)算法被为追踪的到达(DOA)的多重调遣的特定的网络终端方向提供。一个非线性的活动性和观察模特儿被收养，它能更实际上描述特定的网络终端的运动特征。算法不需要任何另外的测量设备。模拟结果显示出它的重要追踪精确性。

简介：Anovelcomplex,(H3O)2[Ni(2,6-pydc)2]·2H2Owassynthesizedinanaqueoussolutionandcharacterizedbymeansofsingle-crystalX-raydiffraction,elementalanalysesandIRspectra.TheX-raystructuralanalysisrevealedthatthenovelcompoundformsthree-dimensional(3D)networksbybothπ-πstackingandhydrogen-bondinginteractions.Thecrystaldataforthecomplexarea=13.853(3)nm,b=9.6892(19)nm,c=13.732(3)nm,α=90.00°,β=115.52(3)°,Y=90.00°,Z=3,R,=0.0786,wR2=0.1522.