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2015 11th International Conference on Natural Computation (ICNC 2015) Zhangjiajie, China 15-17 August 2015 Pages 1-638 IEEE Catalog Number: ISBN: 1/2 CFP15CNC-POD 978-1-4673-7680-8 Copyright © 2015 by the Institute of Electrical and Electronic Engineers, Inc All Rights Reserved Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, Piscataway, NJ 08854. All rights reserved. ***This publication is a representation of what appears in the IEEE Digital Libraries. 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IEEE Catalog Number: ISBN (Print-On-Demand): ISSN: CFP15CNC-POD 978-1-4673-7680-8 2157-9555 Additional Copies of This Publication Are Available From: Curran Associates, Inc 57 Morehouse Lane Red Hook, NY 12571 USA Phone: (845) 758-0400 Fax: (845) 758-2633 E-mail: [email protected] Web: www.proceedings.com TableofContent NaturalComputation:TheoryandAlgorithms FeedforwardNeuralNetworks A Parallel Circuit Approach for Improving the Speed and Generalization Properties of NeuralNetworks .LHQ3KDQ7RPDV0DXO7XRQJ9X Approximationofmultivariate2piͲperiodicfunctionsbymultiple2piͲperiodicapproximate identityneuralnetworksbasedontheuniversalapproximationtheorems =DULWD=DLQXGGLQ6DHHG3DQDKLDQ)DUG ErrorAwarenessbyLowerandUpperBoundsinEnsembleLearning <RQJ/LX4LDQJIX=KDR<DQ3HL Feature Representation Learning on MultiͲScale Receptive Fields for Objection Recognition 4LDQ=KDR/L0D)DQJ;X:HL&KHQJ0DR;X OptimizingNeuralNetworkClassificationAlgorithmbyUsingtheCuckooAlgorithm ;LDRMLQ;XH<XQ3DQ5XLMXDQ-LDQJ<LODQ/LX OptimizingNeuralNetworksforPublicOpinionTrendsPrediction ;XHOLDQ<H.RQJ\X<DQJ Prediction of Energy Consumption Time Series Using Neural Networks Combined with ExogenousSeries %LQ:X<X&XL'LQJ;LDR&XQ\RQJ=KDQJ UNSUPERVISED HIERARCHICAL CONVOLUTIONAL SPARSE AUTOͲENCODER FOR HIGH SPATIALRESOLUTIONIMAGERYSCENECLASSIFICATION ;LDRELQJ+DQ<DQIHL=KRQJ%HL=KDR/LDQJSHL=KDQJ SupportVectorMachinesandStatisticalNeuralNetworkModels ANovelSVMKernelswithGMMSuperͲvectorBasedonBhattacharyyaDistanceClustering PlusWCCN <XMXDQ;LQJ3LQJ7DQ AnIntegratedModelforDetectingSpamMicroblogsCombiningLatentParagraphandUser Vector +RQJTLDR/L5XLIDQJ/LX=KDR[LRQJ%DR4LQORQJ:DQJ FinancialCrisisPredictionBasedOnDistanceToDefaultAndFeatureWeightedSupport VectorMachine :HLKDR+X)HL*DR&KDR+XDQJ Fuzzysupportvectormachinesbasedoncollaborativerepresentation .DLPLQ/LX;LDRMXQ:X LearningPerformanceofGaussianKernelOnlineSVMCBasedonMarkovSampling -LH;X<DQ<DQJ%LQ=RX LearningPerformanceofMultiͲclassSupportVectorMachinesBasedonMarkovSampling -LH;X%LQ=RX+DQOHL6KHQ SupportVectorMachineInverseControlforAnEnergyStorageInverter /L[LD/Y7HQJ\L=KX:HLOLDQJ/LX&KDQJOLDQJ/LX3HQJ+XDQJ Vehicle Models Identification Based on the Double Updating Support Vector Machine OnlineLearningAlgorithm ;LDQJ/LX4LQJ<H6XQIX/LX PrincipalandIndependentComponentAnalysis MaximumNonͲGaussianityEstimationRevisit *DQJ:DQJ5XQQLDQ0D:HQELQJ/LX4LQJZHL0HQJ NonͲOrthogonal Tensor Diagonalization Based on Successive Rotations and LU Decomposition <LQJOLDQJ/LX;LDRIHQJ*RQJ4LXKXD/LQ ReliabilityEvaluationofIntelligentManufacturingEquipment =KL[LDQJ/LX-LH/LX Video surveillance face recognition by more virtual training samples based on 3D modelling ;LDR+X4L[LQ/LDR6KDRKX3HQJ SelfͲOrganizingMaps AFrameworkforMetricLearningandEmbeddingwithTopologyLearningNeuralNetworks =KL\DQJ;LDQJ=KX;LDR'RQJ:DQJ SelfͲOrganizedPatternsintheSOMNetwork 5X\H:DQJ NeurodynamicsandNeuroͲBiologicalSystems BurstSynchronizationofInhibitorySpikingNeuronalNetworks <LPLQJ*HQJ0HQJWLQJ/L4L6KL)DQJ+DQ=KLMLH:DQJ ConversionandVerificationofRecursiveStructureinPIͲCalculuswithCompositionalPetriͲ NET +XL.DQJ6LTL/LX)HQJ4LX Learningcolorreceptivefieldsandcolordifferentialstructure %DUW7HU+DDU5RPHQ\ OtherTheoreticalTopicsinNeuralComputation A Back Propagation Neural Network Model Based on Kalman Filter for Water Quality Prediction <DQIHL=KDR=KLKRQJ=RX6KHQJORQJ:DQJ A Combined Convolutional Neural Network and Potential RegionͲOfͲInterest Model for SaliencyDetection <X+X=KHQ/LDQJ=KHUX&KL+RQJ)X AMultimodalFrameworkforIntegratingBiologicalSpectralCharacteristicsandMEG/EEG inBrainͲSourceImaging )HQJ/XDQ=KLPLQJ=KDQJ7LDQTL=KDQJ MechanismsofLearningandMemoryAboutMultiͲmodelPerceptionInformation <XTLQJ3HQJ4LQJTLQJ*DR6KL4LDR7LHMXQ/L SentenceStructureAnalysisBasedonSemanticRelationsofCyrillicMongolian 'HPEHUHO2UJLO+RQJ[X+RX SmileRecognitionBasedonDeepAutoͲEncoders 6KXIHQ/LDQJ;LDQJTXQ/LDQJ0LQ*XR TopicalParagraphVectorLearning 4LQORQJ:DQJ5XLIDQJ/LX+RQJTLDR/L:HQELQ*XR GeneticandEvolutionaryAlgorithms A knowledgeͲbased Initialization Technique of Genetic Algorithm for the Travelling SalesmanProblem &KDR/L;LDRJHQJ&KX<LQJZX&KHQ/LQLQJ;LQJ AnEvolutionaryComputingApproachforMiningMostFrequentSubgraphbyUsingSize ValueEvaluation $EGXOODK$OPHWKHQ'RQJVKHQJ&KH Animplementationofharmonysearchalgorithmtothesetcoveringproblem *HQJ/LQ AnImprovedAntColonyAlgorithmwithSoldierAnt 6KXKXD*X6KXKXD*X;LD=KDQJ AnImprovedManyWorldsQuantumGeneticAlgorithm 'DQ/L-XQVXR=KDR+HQJ=KDQJ3HQJ4LDR-LD\X=KXDQJ CapacityAnalysisMethodforMLSNBasedonImprovedDGA 6KXDQJ;X;LQJZHL:DQJ0LQ+XDQJ An Evolved SͲbandHelical Antenna Antenna with 1.8G Bandwith 4LQJ=KDQJ+RQJ=KDQJ6DQ\RX=HQJ GAͲbasedCloseRelationshipMatchingunderSocialNetworkEnvironment +RQJ-LDQJ4LQJVRQJ<X-LDMLH6KHQ&KDQJ/LX MultiͲobjectiveServiceCompositonOptimizationUsingDifferentialEvolution <LQJTLDQJ=KRX&KDQJVKHQJ=KDQJ%LQ=KDQJ OfflineDeterminationsofParametervaluesinGeneticAlgorithm *XRVKHQJ+DR TheExperimentalAnalysisoftheEfficiencyofGeneticAlgorithmBasedon3Ͳsatisfiability Problem <XDQ=KDQJ%LQJIHQ/L4LDR0HQJ4LRQJTLRQJ+X4LQJOLDQ0D TheMultiͲPathRoutingProblemintheSoftwareDefinedNetwork <LODQ/LX<XQ3DQ0X[L<DQJ:HQTLQJ:DQJ&KL)DQJ ParticleSwarmOptimizationandAntColonyOptimization AFaultͲtolerantQoSRoutingMechanismBasedonPSOandSA 4LQJ\L=KDQJ;LQJZHL:DQJ)XOLDQJ/L0LQ+XDQJ ANovelDiscreteParticleSwarmOptimizationApproachtoLargeͲScaleSurveyPlanning 0LQJ6KX6HDK:K\H/RRQ7XQJ7LPRWK\%DQNV An improved particle swarm algorithm with immune mechanism for traffic matrix estimation &KDQJKDL'X An Improved QuantumͲbehaved Particle Swarm Optimization based on Lagrange Multiplier 3LQJ/XR<D<DQJ=XR[LDR6XQ MultiͲpathTracesinSemanticGraphsForLatentKnowledgeElicitation 9DOHQWLQD)UDQ]RQL$OIUHGR0LODQL SmallWorldNetworkBasedDynamicTopologyforParticleSwarmOptimization 4LQJ[XH/LX%DUHQG-DFREXV9DQ:\N<DQ[LD6XQ The NeuralNetwork State ObserverDesign Based on the Particle Swarm OptimizationͲ BlackStorkForagingProcess <DSLQJ=KX;LQ:HQ Using a particle swarm optimization approach to examine a competitive production situationconstrainedbysustainablelevelsofpollution 0DOFROP%UDG\9DPVHH0DPDQGXUX0DQRM7LZDUL Weak Impact Signal Detection Method Based on Adaptive Stochastic Resonance with KnowledgeͲbasedParticleSwarmOptimization 6KDQJELQ-LDR-LH.RX4LQJ=KDQJ MultiͲObjectiveOptimization AmultiͲconstrainedroutingoptimizationalgorithminIPnetworks <LQJ=HQJ3HLPLQJ=KDQJ<XQ/XR A MultiͲobjective Portfolio Model Considering Corporation Society Responsibility and BackgroundRisk ;LRQJ'HQJ:HLMXQ;X-LD/L7LQJ/L A probablisitic multiͲobjective management model for groundwater remediation under uncertainty <XQ<DQJ/HL<DQJ'RQJ&DL An OppositionͲbased Repair Operator for MultiͲobjective Evolutionary Algorithm in ConstrainedOptimizationProblems =KXQ)DQ:HQML/L;LQ\H&DL+DQ+XDQJ6KX[LDQJ;LH CompensationRegulationofReservoirGroupsBasedonMultiObjectiveOptimization /LX<DQJ1L:DQJ-LDQFDQJ;LH-LZHL=KX DepartureTaxiingRouteModelingandOptimization =KLZHL;LQJ+RQJ\XH/X Portfolioselectionmodelsbasedonintervalnumbers &KXQTXDQ/L'LQJFKHQJ:DQJ-LDQKXD-LQ ArtificialLifeandArtificialImmuneSystems ASurvivalConditionModelofEarthenSitesBasedontheDangerTheory <XQ;LDR+RQJFKDR*DR<X=HQJ:HL:DQJ;LDRMLDQJ&KHQ IntelligentAgents AMultiͲagentPathPlanningAlgorithmBasedonHierarchicalReinforcementLearningand ArtificialPotentialField <DQELQ=KHQJ%R/L'H\X$Q1D/L SupplyChainFormationforMultiͲmodalTransportBasedonMultiͲagent %LQ6XQ-XQTLQJ6XQ QuantumComputing ANovelMethodtoReduceAncillaandGarbageBitsofReversibleQuantumMultipliers =KL:DQJ6KXPLQJ&KHQ:HL/LX ATextClassificationAlgorithmBasedonQuantumInformation 6RQJWDR6KDQJ0LQ\RQJ6KL:HQTLDQ6KDQJ=KLJXR+RQJ Evolutionofquantumstrategiesonlatticenetwork =KDQJ+HQJ=KDR-XQVXR<RQJ;L=KDQJ:HQMXQ=KXDQJ-LD\X OpticalQuantumComputing 'RQJ\DQJ:DQJ-XQMLH:X;XQ<L QuantumBosonͲSamplingMachine <RQJ/LX-XQMLH:X;XQ<L MolecularandDNAComputing ACellͲcoreͲattachmentApproachforIdentifyingProteinComplexesinPPINetwork -LDZHL/XR'LQJ\X/LQ MembraneComputingandCulturalAlgorithms OtherTopicsinNaturalComputationTheoryandAlgorithms 3DRealͲtimeFacialFeaturePointsTrackingWithImprovedParticleFilter 6KDRER0LQ;LQ\L:DQJ<D6X AMutationͲBasedAlgorithmforDeadlineͲConstrainedTaskSchedulinginMicroͲSatellite Clusters -LQ:X/L[LDQJ/LX;LDRKXL+X ANewMethodBasedonClusterAnalysisforSolvingOneͲdimensionalParabolicEquations &KDQJ]KHQJ;X/LQOLQ&KHQ&KHQJ/LX-LQJ&KHQ AnovelheuristicsoptimizationinspiredbytheLorentztransformation .HHVXQ6RKQ.HHPLQ6RKQ AnEnssembleMethodforUnbalancedSentimentClassification 'RQJPHL=KDQJ-XQ0D-LQJ<L;LDRIHL1LX;LDRMLQJ;X AnImageRetrievalSystemwithColorEmotionQuery -LQJ[XDQ:DQJ'D]KDQ=KDQJ4LDQJ:DQJ AnImprovedArtificialBeeColonyAlgorithmfortheMinimalAttributeReduction )DVKHQJ;X+RQJNDL:DQJ<DQ\RQJ*XDQ AnImprovementofLinkPredictionbyCombiningLocalInformationandBetweenness 4L/LX-LDQSLQJ/L=KHQJ;LH3HQJ\XDQ=KDQJ Analysisonstabilityconditionsforgravitationalsearchalgorithm /X+DQ:HL\L4LDQ EntityLinkingandNameDisambiguationinChineseMicroͲblogs -LQODQ)X<RX+H-LH4LX<XQORQJ*XR/L/L ExploringInfluentialNodesUsingMultiͲattributeInformation 3LQJ+H-LQJ:DQJ:HLVL)HQJ/L/L HumanActionRecognitionbasedonVariationEnergyImagesFeatures +DLKXL;LH4LQJ[LDQJ:X ImprovedTeachingͲLearningͲBasedOptimizationAlgorithmsforFunctionOptimization ;LD/L3HLIHQJ1LX*XRTLDQJ/L-LDQSLQJ/LX+XLKXL+XL Newtheoryandalgorithmofoptimalcontrolbasedonnaturalcomputation <L<DQJ<LQJ1DQ+DR[LDQJ&KHQ PerformanceOptimizationofEchoStateNetworkforTimeSeriesPredictionandSpoken DigitRecognition 4LQJFKXQ=KDR+RQJ[L<LQ;LDROHL&KHQ:HQER6KL ResearchonCrossͲlanguageSentimentClassificationMethodBasedonSVM +RQJ[LD0D<DQJVHQ=KDQJ=KHQOHL'X SemiͲsupervisedLearningbyEdgeDominationinComplexNetworks 3DXOR5REHUWR8ULR)LOLSH$OYHV1HWR9HUUL/LDQJ=KDR NonlinearPhenomena,Chaos,ComplexNetworksandSystems ANewCascadingFailuresModelBasedontheEvolutionofNodeStatus *XDQJTXDQ&KHQJ6KXDL/L<RQJ]KRQJ/X-LQFDL+XDQJ AnalysisofLimitCyclesinAPerturbedQuadraticReversibleSystem <XDQJHQ=KDQ;LDRFKXQ+RQJ0LQJPLQJ1L Asymptotical Synchronization of A Class of DrivingͲResponse PDE Networks with Time DelayandSpatiallyVariableCoefficients &KHQJGRQJ<DQJ/L\DQ&KHQJ.DL\XQ6XQ;LDR&KHQ7RQJ[LQJ/L BifurcationofLimitCyclesinThreePerturbedIntegrableNonͲHamiltonianSystems ;LDRFKXQ+RQJ3LQJ&XL5XL0D ChaoticCharacterizationofAutomobileSuspensionVibrationIsolationPerformance &KHQJORQJ5HQ-LDQSX:DQJ6XIDQJ=KDR-LDQJKXL;LQ Controllingspiralwavesandspatiotemporalchaosbydislocationcoupling /LVL-LD5XL=KDR:HL3DQ<X;XH DynamicanalysisandpassivecontrolofthememristorͲbasedChua’scircuit 'DUXL=KX:HQFKDR=KDQJ&KRQJ[LQ/LX ExistenceofGlobalAttractorofEquationsofKirchhoffType %DRSLQJ/L Extraction of Physically Fatigue Feature in Exercise Using Electromyography, ElectroencephalographyandElectrocardiography 6]X\X/LQ&KLKL+XQJ+VLQL:DQJ<XWH:X3RVKDQ:DQJ ImpulsiveControlofMemristiveSystemsWithTimeͲVaryingDelays ;X</RX LocalizationcalculationofthelayeredPeriodͲDoublingphononiccrystals =KL]KRQJ<DQ&KXQTLX:HL Manyallopticallogicgatesforopticscomputationusingchaoticlasersynchronization 6HQOLQ<DQ NumericalStudyofLimitCyclesinAPerturbedIntegrableNonͲHamiltonianSystem ;LDRFKXQ+RQJ/LMXQ+RQJ%LQ:DQJ TheReservoirParameterCalculationMethodUsingTheNuclearMagneticResonanceLog Data *DQJ&DR-LDJHQ+RX-LQJ\XQ=RX<XH'RQJ=KDRKXL;X BioͲInspiredCircuitsandSystems,SiliconCochlear,RetinaandNeural Prosthetics AnApplicationoftheSubspaceApproachonRadarSpeechEnhancement 6KHQJ/L+HQJ&KHQ/LMXQ4LX+RQJER/L<DMXDQ1DQ NaturalComputationApplications NaturalComputationinPatternRecognitionandDiagnostics AHierarchicalModelforIdentifyingMildCognitiveImpairment %LQJ:DQJ/L\DQ'X<DQKXL;X-XQ=KDQJ3HQJ&KHQ ALocalHistogramBasedChanͲVeseModelforSegmentation =KLPHL=KDQJ-XQ\X'RQJ.XQ/LX<X]KRQJ6KHQ AMethodofCarriedObjectDetectionBasedonKeyPostureofSilhouette +DQ6X:HQMLH:DQJ AMethodofImprovingCreditEvaluationwithSupportVectorMachines -LQJQLDQ&KHQ/L;X ANeuralNetworkBasedMethodtoDetermineInitialObjectPositionsforSegmentation 3DXO0RRUH%ULMHVK9HUPD0LFKDHO/L ANewMethodBasedonAdaptiveTreeletsTransformforFaultDiagnosisofRollingBearing +RQJIDQJ<XDQ;XH=KDQJ+XDTLQJ:DQJ;LQWDR;X AnoveltwoͲstepintelligentalgorithmfordamagedetectionofbeamͲlikestructures =HSHQJ&KHQ/LQJ<X AWaveletͲBasedDenosingMethodforColorImageofMobilePhone ;XHKXL:X;LDRER/X;XH+DQ&KXQ[XH/LX AnEffectiveJointSpectrumAllocationandPowerControlMethod )XODL/LX5XL\DQ'X+XL]KHQ4LX-LDQ:X An Improved Method of Speech Recognition Based on Probabilistic Neural Network Ensembles ;LQJXDQJ/L6KHQJELQ=KDQJ6XPHL/L-XQ\X&KHQ AnIncrementalClusteringMethodofMicroͲBlogTopicDetection 0HQJ:DQJ;LDRURQJ:DQJ AnObjectTrackingMethodBasedonSpatioͲtemporalContextLearningandHog =KHQKDL:DQJ AutomaticVoiceRecognitionSystembasedonMultipleSupportVectorMachinesandMelͲ FrequencyCepstralCoefficients )HOLSH%DUERVD:DVKLQJWRQ6LOYD ContourGraphicsIdentificationUsingNeuralNetworks &KDQJTLQJ:DQJ.DL*XR;LDRPLQJ/L-LQ[LDQJ)DQ CoupledHMMforvideofalldetection 0DEURXND+DJXL)D\FDO$\HE0RKDPHGDOL0DKMRXE DrivingPostureRecognitionbyConvolutionalNeuralNetworks &KDR<DQ)UDQV&RHQHQ%DLOLQJ=KDQJ EensemblesofneuralnetworkswithapplicationofmultiͲobjectiveselfͲconfiguringgenetic programminginforecastingproblems (OHQD/RVHYD/HRQLG/LSLQVN\$QQD.XNOLQD EffectofVaryingDegreeofResamplingonpredictionaccuracyforobservedpeptidecount inproteinmassspectrometrydata $QRRS.XPDU7LZDUL Estimation of Transition Temperature for Doped IronͲbased Superconductors Based on CrystalCellStructure +XLUDQ=KDQJ<DQ=KDQJ<RQJKXD=KX<DQ;X:HQIHQJ6KHQ Facial Expression Recognition based on Transfer Learning from Deep Convolutional Networks 0DR;X:HL&KHQJ4LDQ=KDR/L0D)DQJ;X FaultDiagnosisforManipulatorsBasedonNeuCube 6KL\LQJ3DQ;LXTLQJ:DQJ FaultDiagnosisfortheShipElectricPropulsionSystem %LQJ/L0HL\XDQ&KHQ5RQJURQJ:DQJ/DQ\RQJ=KDQJ FinancialCrisisPredictionsbasedonBiorthogonalWaveletHybridKernelSupportVector Machine 7LQJWLQJ+DQ4LXFKHQ=KDR FuzzyLogicalFlowRegimeIdentificationforTwoͲPhaseFlow -DH\RXQJ/HH IntelligentFaultDiagnosisofInductionMotorwithStatorWindingFault 0LQJ<X<LJDQJ+H+DL:DQJ-XDQ;X'DQZHL:DQJ Leukocyte Image Segmentation Using Feed Forward Neural Networks with Random Weights )HLORQJ&DR-LQJ/X-LDQMXQ&KX=KHQJKXD=KRX-LDQZHL=KDR LiverDisorderDetectionBasedonArtificialImmuneSystems ;LDRKXD<X Mechanical Life Prognosis of High Voltage Circuit Breakers Based on Support Vector Machine ;LQ=KDQJ*DR\DQJ/L/LQOLQ=KRQJ5RQJKXL+XDQJ;LDRKXD:DQJ MovingVehicleDetectionBasedonOpticalFlowEstimationofEdge <DQIHQJ&KHQ4LQJ[LDQJ:X NearͲinfraredSpectrumDiscriminantAnalysisModelBasedonInformationExtractionby ElasticNet ;XKXD/LX:DQKXL&KHQ<L=KHQJ;LRQJNXL+H6KXQJHQJ0LQ Optimizing FCM for segmentation of image using GbestͲguided artificial bee colony algorithm ;LSLQJ6RQJ*XRTLQ/L/XIHQJ/XR 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Thermal error prediction of Numerical Control Machine based on Improved Particle SwarmoptimizedBackPropagationNeuralNetwork -LDQJXR:DQJ<RQJOLDQJ/LX%R4LQ<XQ]KRQJ<DQJ Training Spiking Neural Networks With the Improved GreyͲLevel CoͲoccurrence Matrix AlgorithmforTextureAnalysis =KHQPLQ=KDQJ4LQJ[LDQJ:X;XDQ:DQJ4L\DQ6XQ UsingSupportVectorMachinesToRecognizeAutomaticallySpeechPatternsofNumeric Digits *UDFLHWK%DWLVWD:DVKLQJWRQ6LOYD VesselSegmentationofRetinalImageBasedonPixelStrengthandMultiͲAgent 3LQJ-LDQJ NaturalComputationinRoboticsandControl AGreenSmartTopologyManagementSystemBasedonNetworkSituationAwareness .H%L AHandͲEyeCalibrationMethodforComputerAssistedEndoscopy :HL+H.XPVRN.DQJ+XDPLQ<DQJ<X0LDR:HLOL6KL Novel Stability Criterion for Time-delay Systems by Employing A New Inequality +DL\DQJ=KDQJ/LDQJOLQ;LRQJ4LQJ0LDR<DQPHQJ:DQJ ASwarmofCognitiveAgentsforControllingSmartManufacturingSystems +RQJ6HRN3DUN1JRF+LHQ7UDQ5DQD=LD8U5HKPDQ An intelligent device for assistance in caring for the health of patients with motor disabilities (GXDUGR6DQWDFUX]0DULDQR*DPERD]XQLJD AnalysisofaNewPursuitͲEvasionGameBasedonGameTheory +DR&KHQ-LQJ&KHQ:DQSHQJ=KDQJ+RQJIX/LX ComparisonofsEMGͲBasedFeatureExtractionandHandMotionClassificationMethods /LOL'DL)HQJ'XDQ DesignofaVisualInformationͲbasedBrainͲcomputerinterfaceControlSystem +XLSLQJ+X-LQJ-LQ<X=KDQJ;LQJ\X:DQJ GeometricͲProcessͲBasedBatteryManagementModelingandOptimizationintheElectric VehicleBatterySwitchingStation 3HQJ+DQ-LQNXDQ:DQJ<DQ/L<LQJKXD+DQ;LQ6RQJ Localizing Odor Source Using Multiple Robots based on Hybrid Particle Swarm Optimization <RQJ=KDQJ-LDQKXD=KDQJ*XRVKHQJ+DR:DQTLX=KDQJ RBFͲNeuralͲNetworkͲBasedSlidingModeControlforAutomotiveSteerͲbyͲWireSystems +DL:DQJ+XLIDQJ.RQJ0LQJ<X=KLKRQJ0DQ-LQFKXDQ=KHQJ NaturalComputationinSignalProcessingandMultimedia 3DShapeAnalysisforPointCloudsUsingVariationalGeometric /RQJFXQ-LQ ANoͲreferenceImageBlurMetricBasedonTwoͲpassEdgeAnalysis ;LDR\X0D;LXKXD-LDQJ;LDRKXD/HL+XL=KDQJ3LQJ/LX ANovelColorDamagedIndexofDigitalImages 6DLOL+H;LXKXD-LDQJ ARobustObjectTrackingMethodCombiningShapeDescriptorandAdaptiveBackground Camshift <XPHL=KX%R;X A Square NonͲsymmetry and AntiͲpacking Model Representation Algorithm of Gray ImagesUsingBinaryBitͲplaneDecomposition <XQSLQJ=KHQJ-LH+H4LQJKRQJ<DQJ<XQ\DQ;LRQJ AStudyonCTAortaSegmentationUsingVesselEnhancementDiffusionFilterandRegion Growing :HL+H<DQQL&DR<DQIDQJ/L<X0LDR:HLOL6KL AdultImageDetectionBasedonSkinVisualWordsandFaceInformation 7LDQTLDQJ3HQJ3HQJIHL&XL AnAccurateIndoorLocalizationApproachUsingCellphoneCamera :DQFKHQ6XL.DL:DQJ BeltConveyorRollerFaultAudioDetectionBasedonWaveletNeuralNetwork ;LDRSLQJ-LDQJ*XDQTLDQJ&DR EEGSignalAnalysisBasedonFixedͲvalueShiftCompressionAlgorithm ;XH\DQ*XR+XDQ\X=KDR;LDR\XQ/L7RQJOLDQJ/L0LQJIDQJ'DL FaceDetectionBasedonImprovedSkinModelandLocalIteratedConditionalModes ;LDRSHQJ:DQJ/XFKHQJ:DQJ7DR/HL&KHQJ\L:DQJ Hyperspectral Image Classification via Local Receptive Fields Based Random Weights Networks 4L/Y<RQJ'RX-LDTLQJ;X;LQ1LX)HL;LD ImprovingImageRecognitionbyHierarchicalModelandDenoising )XTLDQJ&KHQ<DQ:X LicensePlateLocationbasedonMultiͲResolutionFractalFeatureVector :HQOL/HH/LWLHQ:DQJ-KHDQ/HH LocalRegionBasedActiveContoursforColonTissueSegmentation :HL+H/L\XDQ=KDQJ+XDPLQ<DQJ=KHQJDQJ-LDQJ:HLOL6KL NovelSchmittTriggerUsingnͲChannelNeuronͲMOSTransistor *XRTLDQJ+DQJ*XRTXDQ=KX OnlineEvolutionofImageFilterBasedonDynamicPartialReconfigurationofFPGA 5XL<DR<DQPHL6XQ.XQ+H<X]KRQJ<DQJ SpectrumPredictionbasedonImprovedͲBackͲPropagationNeuralNetworks 6X\D%DL;LQ=KRX)DQMLDQJ;X TaskDataOptimizationAllocationwithDataMigration 0D[-LD\L'X5HQID/L<X/LX/LQD'X;LQ=XR Thereweighedgreedyanalysispursuitalgorithmforthecosparseanalysismodel -LFKHQJ/L=LVKHQJ/LX:HQER/L TheWaveletDomainHMMModelAnalysisofShipAttitudeBasedonDualStarSensors -LQJPLQJ*XR%LQ/LX;LQ+H7RQJVKXDQJ=KDQJ/LDQJ3DQ OtherNaturalComputationApplications ABackPropagationArtificialNeuralNetworkApplicationinLithofaciesIdentification <XH'RQJ-LDJHQ+RX<XPLQJ/LX<H:DQJ-LQJ=KDR ABatAlgorithmforPolynomialBezierSurfaceParameterizationfromCloudsofIrregularly SampledDataPoints $QGUHV,JOHVLDV$NHPL*DOYH]0DUWD&ROODQWHV ABiͲscalemethodofLinkprediction 3HQJ\XDQ=KDQJ-LDQSLQJ/L4L/LX=KHQJ;LH Adataminingapproachtostudytheairpollutioninducedbyurbanphenomenaandthe associationwithrespiratorydiseases )DELR7HRGRUR'H6RX]D:LOOLDP6FKLQHLGHU5DEHOR AFeatureExtractionMethodBasedonDictionaryLearningforEEG /LQJ\XH;LH+DQ=KDQJ)HQJ'XDQ AFrameworkofWinterRoadMaintenanceOptimization :HQMXQ7DQJ*HQKH=KDQJ0LQJMXQ/LDR AMethodofDistributedMultiͲSatelliteMissionSchedulingBasedonImprovedContract NetProtocol 3HQJ)HQJ+DR&KHQ6KXDQJ3HQJ/XR&KHQ/RQJPHL/L AMultiͲobjectiveGeneticAlgorithmforthePortfolioProblem ;LDRKRQJ =KDQJ %LQ= KDQJ &KDQJVKHQJ =KDQJ $Q[LDQJ 0D; 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