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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xiaowei Shen Xiwei Liu Dong Fan Changjian Cheng Gang Xiong State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy and Sciences Beijing China

It is important for a chemical plant to find a suitable performance appraisal method. In this paper, based on the ACP (artificial system, computational experiment, and parallel execution) theory and the PageRank algorithm, a new performance appraisal method is proposed. The proposed method comprehensively involves both peoples and routine management rules from the holistic viewpoint. By comparison with the traditional performance appraisal method, the proposed method is more reasonable, more flexible and robuster.

关键词： Appraisal

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Computational experiments GPU-based for longterm safety operation of chemical industry

Computational experiments GPU-based for longterm safety oper...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xiaochao Lang Dalei Guo State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy and Sciences Beijing China

Chemical industry is complex and continuous process industry, and the control and management of the long-term safe operation involves a great deal of information and data on the staffs, management, equipment and technology. Consequently, making real-time assessment for the control and management by computational experiment is important for the long-term of safety operation of chemical industry. As the requirement for high-performance computing in large-scale complex systems, traditional CPU computing can not meet the needs of large-scale computing. Because of the high speed and rapid development features, GPU was widely applied to scientific computation, which is suitable for large-scale intensive computation. This paper carried on specific computation experiments using GPU parallel computing, and designed and analyzed matrix inversion, fuzzy logic computation and Monte Carlo computation respectively for staff management and equipment simulation. Finally, compared to CPU serial computing, the maximum speedup ratio, 34, 85 and 39 times of speedup ratio are achieved.

关键词： Graphics processing unit Computational modeling Instruction sets MATLAB Programming Mathematical model Analytical models

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A vision system with multiple cameras designed for humanoid robots to play table tennis

A vision system with multiple cameras designed for humanoid ...

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IEEE International Conference on automation Science and Engineering (CASE)

作者： Ping Yang De Xu Zhengtao Zhang Guodong Chen Min Tan State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China State Key Laboratory of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing P.R.C.

Two humanoid robots are used to play table tennis with each other. For each humanoid robot, three cameras and a computer are equipped to form a stereovision system and a monocular vision system. The stereovision system consisting of two smart cameras and a computer measures the 3-dimensional position of the table tennis ball. It adopts parallel processing mode in order to realize hundred frames level measurement per second. A high-speed digital camera and the computer compose the monocular vision system, which measures the pose of the robot relative to the table via a color mark attached on the robot. The two smart cameras in each stereovision system are synchronized via I/O signals. The vision systems for the two robots are synchronized by time verification. Experimental results verify the effectiveness of the designed vision system and the proposed methods.

关键词： Cameras Computers Robot vision systems Smart cameras Robot kinematics Trajectory

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Development of Learning control in Robots

Development of Learning Control in Robots

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2011 IEEE International Conference Mechatronics and automation(2011 IEEE机电一体化与自动化国际会议)

作者： Hu Su De Xu Yanlong Huang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Learning control has been an active topic of research for several decades, and is of theoretical, as well as practical, significance. Current theories and developments in learning control are discussed. Following a brief introduction of the state as well as new progress on learning control, we give a detail review on the models and algorithms of the control policies developed recently which proved to be advantageous over previous approaches through experimental results. The related results and properties are presented. Then, several potentially developmental topics that are valuable to be further investigated are suggested. Finally, the conclusion remark is proposed.

关键词： Learning control dynamic motor primitive learn by imitation locally weighted regress locally weighted projection regress.

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Mobile sensor network node deployment via Central Voronoi Tessellation

Mobile sensor network node deployment via Central Voronoi Te...

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International Conference on intelligent control and Information Processing (ICICIP)

作者： R. Xiong Y. Q. Bai W. Sun X. Liu School of Automation and Key Laboratory of Complex Systems Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China

The present work focuses on the node deployment algorithm of Wireless Sensor Networks. The Central Voronoi Tessellation algorithm is employed to optimize the node position. The energy consumption of the whole sensor network will be minimized by using this algorithm. Simulation of the proposed algorithm shows the effectiveness of minimizing the energy consumption.

关键词： Robot sensing systems Wireless sensor networks Mobile communication Mobile robots Mobile computing Classification algorithms

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Trajectory prediction of spinning ball for ping-pong player robot

Trajectory prediction of spinning ball for ping-pong player ...

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2011 IEEE/RSJ International Conference on intelligent Robots and systems

作者： Yanlong Huang De Xu Min Tan Hu Su State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China

An analytic flying model that can well represent the physical behavior is derived, where the ball's self-rotational velocity changes along with the flying velocity. Based on the least square method, a rebound model that represents the relation between the velocities before and after rebound is established. The initial trajectory is fitted to three second order polynomials of the flying time with the measured positions of the ball. The initial velocities of the ball in the analytic flying model, including the flying velocity and the self-rotational velocity, are computed from the polynomials. The ball's landing position and velocity is predicted with the model. The velocities after rebound are determined with the rebound model. By taking the velocities after rebound as new initial ones, the flying trajectory after rebound is described with the model again. In other words, the ball's trajectory is predicted. Experimental results verify the effectiveness of the proposed method.

关键词： Trajectory Position measurement Robot kinematics Velocity measurement Spinning Predictive models

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High-order MRF prior based bayesian deblurring

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第12期5卷 383-392页

作者： Zhao, Bo Zhang, Wensheng Liu, Jin Ding, Huan State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Software Engineering Computer School Wuhan University China

A novel image deblurring method based on high-order non-local range Markov Random Field (NLR-MRF) prior is proposed in the paper. NLR-MRF provides an effective framework to model the statistical prior of natural images and leads to excellent performance in the application of image denoising and inpainting. Moreover, the framework will be extended to image deblurring in our work. Instead of commonly used maximum a-posteriori (MAP) estimation, which has several shortcomings, the high-order NLR-MRF prior is integrated into Bayesian minimum mean squared error (MMSE) estimation framework. Then, an efficient Gibbs sampling algorithm is adopted to compute MMSE estimation. The proposed method frees the user from determining regularization parameter beforehand, which relies on unknown noise level. We perform experiments on synthetic and real-world data to demonstrate the effectiveness of our method. Both quantitatively and qualitatively evaluations show superior or comparable results to the state-of-art deblurring methods.

关键词： Image denoising

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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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Polarity Shifting: Corpus Construction and Analysis

Polarity Shifting: Corpus Construction and Analysis

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International Conference on Asian Language Processing (IALP)

作者： Xiaoqian Zhang Shoushan Li Guodong Zhou Hongxia Zhao Natural Language Processing Laboratory Soochow University Suzhou China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting.

关键词： Machine learning Dictionaries Computational linguistics Manuals Noise Data mining Vectors

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Vulnerability analysis of power grid based on multi-agent complex systems

Vulnerability analysis of power grid based on multi-agent co...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xisong Dong Gang Xiong Jiachen Hou Fan Dong Timo R. Nyberg State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China BIT Research Centre Aalto University Aalto Finland

Modern power grid is a typical multi-level complex giant system. The conventional analytical methods based on reductionism can't provide sufficient guidance for its operation and management. complex system theory, based on holism, has its specific advantages in power grid's research. But, it has some limitations. In this article, we improve complex grid by introducing new parameters which can describe the grid's characters better and using multi-agent theory. As an application, the complex power grid constructed with actual data from North China grid is constructed and its vulnerability has been simulated and analyzed under different attacks.

关键词： Knowledge engineering Databases

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