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2011年中国智能自动化会议

作者： WANG Guan-kun JIN Jing WANG Xing-yu Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education) School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

The P300 potential is a positive peak of an event-
　　related potential (ERP) that happens at 300 ms after
　　a stimulus. In this
　　study, both offline and online stages were carried
　　out in the experiment. The motivation of this paper
　　is to compare two different
　　P300 brain-computer interfaces (BCIs) which were
　　evoked by random stimulus and non-random stimulus
　　respectively. The offiine
　　data demonstrated that the random stimulus induced a
　　higher P300 amplitude and classification accuracy
　　than the non-random
　　stimulus. The offline data were used to train the
　　Bayesian linear discriminate analysis (BLDA), which
　　was used in offline experiment.
　　The online results further proved that random
　　stimulus P300 BCI yields better performance than non-
　　random stimulus P300 BCI.

关键词： brain-computer interface P300 non-random stimulus random stimulus

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Evolutionary algorithm based on the evolution of Pareto archive and individual migration

Evolutionary algorithm based on the evolution of Pareto arch...

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International Symposium on advanced control of Industrial processes (ADCONIP)

作者： Rongbin Qi Tianyi Ma Fan Sun Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Shanghai Business School Shanghai China

An evolutionary algorithm based on the parallel evolution of multiple single objective populations and Pareto archive population is proposed, which is not only suitable for solving multi-objective optimization, but also effective for multimodal function. For each single objective population, single objective evolutionary algorithm is applied to optimize separately each of multi-objective functions, where individuals generated by tournament selection from the union of single objective and Pareto Archive population form the single objective population of next generation. Especially, individuals in Pareto archive population also join evolutionary operations. Simulations manifest that the proposed method can realize the search from multiple directions to obtain the non-dominated solutions scattered more uniformly over the Pareto frontier with better convergence metric compared to well-known NSGA-II algorithm. Individual migration from Pareto archive population by tournament selection is also proved to have the advantage in improving the converging speed and converging precision. Moreover, for multimodal single objective function, simulations also show that ideal optimizing solution can be obtained by properly separating single objective function into multi-objective function and applying the above method.

关键词： Evolutionary computation Optimization Convergence Polynomials Algorithm design and analysis Euclidean distance

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Automatic prediction of sleep level during day time short nap

Automatic prediction of sleep level during day time short na...

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IEEE/ICME International Conference on Complex Medical Engineering, CME

作者： Bei Wang Xiuyan Fu Xingyu Wang Masatoshi Nakamura Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education School of Information Science and Technology East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive data segments based on a set of parameters. Secondly, the sleep level of next data segment was predicted according to the obtained conditional probabilities. The prediction of sleep level reflected the future sleep tendency and was helpful for automatic nap sleep interpretation.

关键词： Artificial intelligence Electromyography

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Dynamic RED: a modified random early detection

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Journal of Computational Information Systems 2011年第14期7卷 5243-5250页

作者： Cheng, Minjuan Wang, Hao Yan, Liming School of Electronic and Communication Engineering Shenzhen Polytechnic Shenzhen 518055 China Department of Automation Shanghai Jiao Tong University Ministry of Education of China Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education of China Shanghai 200237 China

Random early detection (RED) is an effective active queue management (AQM) algorithm controlling network congestion by average queue length. However, RED is over-sensitive to congestion degrees and its parameters. To overcome RED's shortcomings, this paper proposes a dynamic RED algorithm named DRED for enhanced performance. Two improvements are made: (1) DRED replaces the linear packet dropping function with a nonlinear function, which gives differential reactions to different network conditions. (2) Adaptation rule is introduced for the maximum packet dropping probability to stabilize the average queue length. By simulation comparisons, the results verify that DRED outperforms the original RED algorithm in terms of stability and robustness. DRED achieves stable average queue length and predictable queuing delay independent of number of TCP connections. Moreover, DRED solves RED's problems without introducing additional variable or much extra overhead. © 2011 Binary Information Press December, 2011.

关键词： Queueing theory

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Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch

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IEEE Transactions on Circuits and Systems I: Regular Papers 2011年第6期58卷 1345-1357页

作者： Wangli He Feng Qian Qing-Long Han Jinde Cao Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Centre of Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Mathematics South-East University Nanjing China

This paper is concerned with lag synchronization of two coupled delayed systems with parameter mismatch. Due to parameter mismatch, complete lag synchronization can not be achieved. Therefore, a new lag quasi-synchronization scheme is proposed to ensure that coupled systems are in a state of lag synchronization with an error level. Several simple criteria are derived and the error level is estimated by applying a generalized Halanary inequality and matrix measure. Three examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization scheme. It is shown that as the coupling strength increases, the estimated error level is close to the simulated one, which well supports theoretical results.

关键词： Synchronization Measurement uncertainty Delay Linear matrix inequalities Trajectory Delay effects Couplings

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Impulsive synchronization of two nonidentical chaotic systems with time-varying delay

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Physics Letters A 2011年第3期375卷 498-504页

作者： Wangli He Feng Qian Jinde Cao Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia Department of Mathematics Southeast University Nanjing 210096 China

This Letter investigates synchronization of two nonidentical Lur'e systems with time-varying delay and parameter mismatches via impulsive control. Based on the theory of impulsive functional differential equations, sufficient conditions for impulsive synchronization with a bound on the synchronization error are derived. An illustrative example is provided to validate the proposed method.

关键词： Impulsive synchronization Impulsive control Nonidentical chaotic systems Time-varying delay

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The multiscale simulation of metal organic chemical vapor deposition growth dynamics of GaInP thin film

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Science China(Physics,Mechanics & Astronomy) 2010年第8期53卷 1481-1490页

作者： HU GuiHua YU Tao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China CIMS&Robot Center of Shanghai University Shanghai 200072China

As a Group III–V compound, GaInP is a high-efficiency luminous material. Metal organic chemical vapor deposition (MOCVD) technology is a very efficient way to uniformly grow multi-chip, multilayer and large-area thin film. By combining the computational fluid dynamics (CFD) and the kinetic Monte Carlo (KMC) methods with virtual reality (VR) technology, this paper presents a multiscale simulation of fluid dynamics, thermodynamics, and molecular dynamics to study the growth process of GaInP thin film in a vertical MOCVD reactor. The results of visualization truly and intuitively not only display the distributional properties of the gas’ thermal and flow fields in a MOCVD reactor but also display the process of GaInP thin film growth in a MOCVD reactor. The simulation thus provides us with a fundamental guideline for optimizing GaInP MOCVD growth.

关键词： metal organic chemical vapor deposition computational fluid dynamics kinetic Monte Carlo virtual reality multiscale simulation GaInP thin film growth

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A novel approach for moving object detection based on improved particle swarm optimization algorithm

A novel approach for moving object detection based on improv...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Yu, Jin Zhou, Xuan Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9781424451951

In order to extract from the video sequence in a complete and consistent moving target, a novel algorithm for video object segmentation based on improved particle swarm optimization (IPSO) is presented. The algorithm fuses brightness segmentation and color information at 'region level', as to make up for conventional 'pixel level' approaches. The IPSO is taken into account for spatial segmentation of the video frame, which combines the mixture Gaussian model of temporal framework in achieving better segmentation. Adapting to the real-time video surveillance, the proposed algorithm can speed up the process of image segmentation, and make background modeling accurately to update. Comparisons were performed with other method that the proposed algorithm can detect intact moving objects even when objects appear and disappear suddenly. The experiment across different types of video shows the efficiency and stability of video object segmentation by the novel approach. © 2010 IEEE.

关键词： Image segmentation

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Estimation of distribution algorithm sampling under gaussian and cauchy distribution in continuous domain

Estimation of distribution algorithm sampling under gaussian...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Luo, Na Qian, Feng Automatic Institute Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai 200237 China State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9781424451951

Estimation of Distribution Algorithm is a new population based evolutionary optimization method and it generates new population from probability distribution model. Like most evolutionary algorithms, it is easy to trap into local optimums. In order to avoid this shortcoming, Gaussian and Cauchy probability density function are mixed as probability distribution model. For continuous problems, a new estimation of distribution algorithm sampling under the mixed model is presented. New individuals are generated not only from Gaussian distribution but sometimes from Cauchy distribution in order to keep diversity. The selection strategy of Gaussian and Cauchy distribution are also discussed. The new algorithm is tested on five benchmark functions and results are compared with basic and estimation of distribution algorithm with Cauchy mutation. © 2010 IEEE.

关键词： Gaussian distribution

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Gradient-based immune algorithm for optimization of dynamic environments

Gradient-based immune algorithm for optimization of dynamic ...

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International Conference on Natural Computation

作者： Shi, Xuhua Qian, Feng Research Institute of Electric Automatic Control NingBo University NingBo China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ecust China University of Science and Technology ShangHai China

ISBN: (纸本)9781424459612

A novel immune algorithm suitable for dynamic environments (GIDE) is proposed based on a biological immune mechanism. GIDE models the dynamic process of artificial immune response with gradient-based diversity operators. Unlike traditional artificial immune algorithms, which require that randomly generated cells be added to the current population to explore its fitness landscape, GIDE uses a gradient-based diversity operator to speed up optimization in dynamic environments. Other immune algorithms are compared to GIDE by using Moving Peaks Benchmarks. Preliminary experiments showed that GIDE can maintain high population diversity during the search process, while simultaneously speeding up optimization. Thus, GIDE is useful for optimization of dynamic environments. © 2010 IEEE.

关键词： Bioinformatics

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