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Chinese control Conference (CCC)

作者： Tao Li Ting Wang Shumin Fei School of Electronic Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, one delay-dependent sufficient condition is obtained by using convex combination. The criterion is presented in terms of LMIs and the feasibility can be easily checked with the help of LMI in Matlab Toolbox. In addition, the activation function can be described more generally, which generalizes those earlier methods. Finally, the effectiveness of obtained results can be further illustrated by one numerical example in comparison with the existent ones.

关键词： Delay Stability criteria Asymptotic stability Numerical stability Biological neural networks Symmetric matrices

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Energy cost and greenhouse gas emissions of a Chinese wind farm

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Procedia Environmental Sciences 2011年 5卷 25-28页

作者： Q. Yang G.Q. Chen Y.H. Zhao B. Chen Z. Li B. Zhang Z.M. Chen H. Chen State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China China Hua Dian Corporation Beijing 100035 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

Wind power is considered as one of the most promising renewable energy sources in China. Presented in this study is a life cycle analysis of energy performance and greenhouse gas emission for a typical wind farm in Guangxi, with different stages of manufacturing, transportation, and installation of mechanical components, operation and maintenance, and disassemble and disposal taken into account. Results show that the nonrenewable energy cost and greenhouse gas emission to generate 1 MJ of electricity for the grid are 0.046 MJ and 0.002 kg CO2 equivalent, respectively. In consideration of the dominant power generation technology of coal combustion in China, the nonrenewable energy saving brought about by the concerned wind farm is estimated at 1.22E+7GJ during its twenty year operating period, while the reduced greenhouse gas emissions are as much as 1.03E+06 ton CO2 equivalent. It is believed that this successful example can lend solid support to a future wide use of wind power in China.

关键词： Embodied energy analysis Greenhouse gas emission Wind farm China

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Fast double-parallel image processing based on FPGA

Fast double-parallel image processing based on FPGA

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Ye Li Qingming Yao Bin Tian Wencong Xu State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy and Sciences Beijing China School of Mechanical Electrical and Information Engineering Shandong University Weihai China

Due to FPGA's flexibility and parallelism, it is popular for accelerating image processing. In this paper, a double-parallel architecture based on FPGA has been exploited to speed up median filter and edge detection tasks, which are essential steps during image processing. The double-parallel scheme includes an image-level parallel and an operation-level parallel. The image-level parallel is a high-level parallel which divides one image into different parts and processes them concurrently. The operation-level parallel, which is embedded in each image-level parallel thread, fully explores every parallel part inside the concrete algorithms. The corresponding design is based on a DE2 Development Board which contains a CYCLONE II FPGA device. Meanwhile, the same task has also been implemented on PC and DSP for performance comparison. Despite the fact that operating frequencies of used PC and DSP are much higher than FPGA's, FPGA costs less time per computed image than both of them. By taking advantage of the double-parallel technique, the speed/frequency ratio of FPGA is 202 times faster than PC and 147 times faster than DSP. Finally, a detailed discussion about different platforms is conducted, which analyzes advantages and disadvantages of used computing platforms. This paper reveals that the proposed double-parallel scheme can dramatically speed up image processing methods even on a low-cost FPGA platform with low frequency and limited resources, which is very meaningful for practical applications.

关键词： Image edge detection Field programmable gate arrays Digital signal processing Hardware Kernel Detectors

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Video processing techniques for traffic flow monitoring: A survey

Video processing techniques for traffic flow monitoring: A s...

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International Conference on Intelligent Transportation

作者： Bin Tian Qingming Yao Yuan Gu Kunfeng Wang Ye Li State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy and Sciences Beijing China Jiangsu China Sciences Intelligent Engineering Co. Ltd. Suzhou 215000 China Institute of Automation Chinese Academy of Sciences (CAS) Beijing China State Key Laboratory of Intelligent Control and Management Institute of Automation Chinese Academy of Sciences (CAS) Beijing China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China

Video-based traffic flow monitoring is a fast emerging field based on the continuous development of computer vision. A survey of the state-of-the-art video processing techniques in traffic flow monitoring is presented in this paper. Firstly, vehicle detection is the first step of video processing and detection methods are classified into background modeling based methods and non-background modeling based methods. In particular, nighttime detection is more challenging due to bad illumination and sensitivity to light. Then tracking techniques, including 3D model-based, region-based, active contour-based and feature-based tracking, are presented. A variety of algorithms including MeanShift algorithm, Kalman Filter and Particle Filter are applied in tracking process. In addition, shadow detection and vehicles occlusion bring much trouble into vehicle detection, tracking and so on. Based on the aforementioned video processing techniques, discussion on behavior understanding including traffic incident detection is carried out. Finally, key challenges in traffic flow monitoring are discussed.

关键词： Vehicles Monitoring Tracking Vehicle detection Image edge detection Trajectory Computational modeling

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Modeling and analyzing transportation systems based on ACP approach

Modeling and analyzing transportation systems based on ACP a...

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International Conference on Intelligent Transportation

作者： Fenghua Zhu Fei-Yue Wang Runmei Li Yisheng Lv Songhang Chen State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China School of Electronics and Information Engineering Beijing Jiaotong University BJTU Beijing China

The ACP (Artificial societies, Computational experiments and Parallel execution) approach has provided us an opportunity to look into new methods in addressing transportation problems from new perspectives. In this paper, we present our works and results of applying ACP approach in modeling and analyzing transportation system, especially carrying out computational experiments based on artificial transportation systems. Two aspects in the modeling process are analyzed. The first is growing artificial transportation system from bottom up using agent-based technologies. The second is modeling environment impacts in simple-is-consistent principle. Finally, two computational experiments are carried out on one specific ATS, Jinan ATS, and numerical results are presented to illustrate the applications of our method.

关键词： Analytical models Rain Computational modeling Vehicles Object oriented modeling

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A Energy Balanced Deployment for Linear Wireless Sensor Networks

A Energy Balanced Deployment for Linear Wireless Sensor Netw...

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2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

作者： Zhengjie Wang Xiaoguang Zhao Xu Qian College of Information and Electrical Engineering Shandong University of Science and Technology Qi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese School of Mechanical Electronic & Info. Engineering China University of Mining & Technology (Beijin

ISBN: (纸本)9781457715860

Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station are usually required to forward a large amount of traffic for sensors farther from the base station, leading to the environment cannot be effectively monitored. The energy consumption balance is achieved in the paper by adjusting the distance between nodes. The distance of nodes near the base station become short because they have to forward the more traffic. The node deployment is converted to optimization problems of distance distribution between nodes. The network lifetime under different number of forwarding region is discussed. Simulation results show that this deployment strategy obtains the energy consumption balance.

关键词： wireless sensor networks optimal communication distance energy consumption balance distance optimal

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Agent-based traffic simulation and traffic signal timing optimization with GPU

Agent-based traffic simulation and traffic signal timing opt...

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International Conference on Intelligent Transportation

作者： Zhen Shen Kai Wang Fenghua Zhu State Key Laboratory of Intelligent Control and Management of Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences (CAS) Beijing China Center of Military Computational Experiments and Parallel Systems Technology and College of Mechatronics Engineering and Automation National University of Defense Technology Changsha Hunan China

With the advantage of simulating the details of a transportation system, the “microsimulation” of a traffic system has long been a hot topic in the Intelligent Transportation systems (ITS) research. The Cellular Automata (CA) and the Multi-Agent System (MAS) modeling are two typical methods for the traffic microsimulation. However, the computing burden for the microsimulation and the optimization based on it is usually very heavy. In recent years the Graphics Processing Units (GPUs) have been applied successfully in many areas for parallel computing. Compared with the traditional CPU cluster, GPU has an obvious advantage of low cost of hardware and electricity consumption. In this paper we build an MAS model for a road network of four signalized intersections and we use a Genetic Algorithm (GA) to optimize the traffic signal timing with the objective of maximizing the number of the vehicles leaving the network in a given period of time. Both the simulation and the optimization are accelerated by GPU and a speedup by a factor of 195 is obtained. In the future we will extend the work to large scale road networks.

关键词： Graphics processing unit Vehicles Roads Optimization Computational modeling Genetic algorithms Timing

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Energy cost and greenhouse gas emissions of a Chinese solar tower power plant

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Procedia Environmental Sciences 2011年 5卷 77-80页

作者： Q. Yang G.Q. Chen Y.H. Zhao B. Chen Z. Li Z.F. Wang State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China China Hua Dian Corporation Beijing 100035 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China Key Laboratory of Solar Thermal Energy and Photovoltaic System of Chinese Academy of Sciences Institute of Electrical Engineering P.O. Box 2703 Beijing 100190 China

It is commonly assumed that the application of solar power system can save energy and relief global climate change. Presented in this study is the account of energy performance and greenhouse gas emissions of a planned solar tower power plant in China based on the life cycle analysis method. The conservative estimation of energy cost for the concerned plant is 1.21 times of the electricity output, which is a relatively decent performance amongst power generation technologies. In order to analyze the greenhouse gas performance, a comparison is carried out between the solar tower power plant and conventional coal-fired power plant in China. Results show the application of this solar system obtains a net greenhouse gas emission reduction of 0.31E+06 ton CO2 equivalent, during its operating period of twenty years. It is believed that this successful example can lend solid support to a future wide use of solar power in China.

关键词： Solar tower power plant Electricity generation Energy analysis Greenhouse gas emission

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The application and issuse of linear wireless sensor networks

The application and issuse of linear wireless sensor network...

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International Conference on System Science, engineering Design and Manufacturing Informatization (ICSEM)

作者： Zhengjie Wang Xiaoguang Zhao Xu Qian School of Mechanical Electronic & Info. Engineering China University of Mining & Technology (Beijing) Beijing China College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing China

Wireless sensor networks consist of a large number of sensor nodes that have low power and limited transmission range and can be used in various scenario. The nodes can be deployed in the long and narrow region, such as road, bridge, tunnel and pipeline, to get some interesting information. The linear topology of these network application is different other application and have special feature, such as multi-hop, long delay, long distance and low reliability. This paper introduces the concept of linear wireless sensor networks and discusses the classification of topology and key issue of this network. The application of the linear wireless sensor network, such as road, bridge, tunnel and pipeline is presented. The research challenges are discussed at last in this paper.

关键词： Monitoring Reliability Collaboration Spread spectrum communication Hoses Topology Routing protocols

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Robustness of Cooperation on Highly Clustered Scale-Free Networks

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Chinese Physics Letters 2010年第3期27卷 9-12页

作者：丛睿仇原鹰陈小杰王龙 Key Lab of Electronic Equipment Structure (Ministry of Education) Xidian University Xi'an 710071 State Key Laboratory for Turbulence and Complex Systems Center for Systems and Control College of Engineering Peking Unfversity Beijing 100871

We study the effect of mutation on the evolutionary prisoner＇s dilemma in highly clustered scale-free networks. It is found that cooperation is more sensitive and vulnerable to strategy mutation in more highly clustered networks. For small mutation rates, high clustering coefficient promotes cooperation. For medium mutation rates, high clustering coefficient inhibits the emergence of cooperation. For large mutation rates, cooperation is insensitive to clustering property. We provide explanations for the effects of clustering on cooperation with varied mutation rates.

关键词： Computational physics Environmental and Earth science

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