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Composite service execution Petri Net and service composition optimization

Composite service execution Petri Net and service compositio...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Liu, Sheng Liu, Xiwei Zhao, Hongxia Fu, Wei State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China School of International Trade and Economics University of International Business and Economics Beijing 100029 China

ISBN: (纸本)9781467324007

Web services are becoming the most promising technology for cloud computing. When a single web service fails to satisfy service requestor's multiple function demands, web services need to be configured together to form a service composition with cost and other constraints. It is hard to obtain an optimal service composition by the existing service composition methods because the analysis of its dynamic execution process is neglected. This paper uses Petri Net to model and analyze the dynamic execution processes of service compositions. The effect of composite services reliability on the composite service performance is taken into account. The method regards the cost averaged for one time of successful execution of a composite as its actual executing cost, and then selects the composite services with the aim of minimizing the composite service execution cost. The simulation result shows that the proposed method is superior to other methods in execution cost. © 2012 IEEE.

关键词： Quality of service

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Probabilistic model based image retrieval using hypothesis testing

Probabilistic model based image retrieval using hypothesis t...

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International Conference on Information Engineering and Applications, IEA 2011

作者： Li, Bo Liu, Guoping School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing China Advanced Control and Network Technology Research Unit University of Glamorgan Glamorgan United Kingdom

ISBN: (纸本)9781447123859

The content based image retrieval (CBIR) is aimed to find the most similar images from a collection of images or a database to the query image according to the visual or semantic similarity. Current image retrieval algorithms mainly focus on feature selection and learning distance metric. Other methods are also proposed to promote the performance such as relevance feedback. But as a whole their performance still can not reach the expectation for application. This paper presents a new framework for image retrieval by introducing the hypothesis testing heory. The rest of this paper is organized as follows: Section II introduces the motivation of the proposed approach and the hypothesis testing problem in image retrieval. Section III is the main part of the paper and in this section the concepts of background model, image model, test ratio and feature extraction that compose the framework are introduced and discussed. Section IV shows the relevant experimental results of the algorithm. © 2012 Springer-Verlag London Limited.

关键词： Semantics

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Artificial power system based on ACP approach

Artificial power system based on ACP approach

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Dong, Xisong Xiong, Gang Hou, Jiachen Fan, Dong State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Modern power system is a typical multi-level complex giant system consisting of physical infrastructures, human operators, and social resources, etc. The conventional analytical methods and simulation systems can't provide sufficient guidance for its operation and management, because they are mainly based on physical models, natural phenomenon, or other existing control methods which are based on reductionism. ACP approach, mainly consisting of artificial systems (A), computational experiments (C) and parallel execution (P), which is based on holism and complex system theory, has its specific advantages in the research on power systems. In this article, ACP approach is applied to build up artificial power system (APS) by using multi-agent complex networks. With the help of APS, actual power system's control, scheduling, optimization and management can be improved further via providing theoretical guidance and technical support for the rolling optimizations in normal situations and emergency management in abnormal situations. As a case study, an APS constructed with actual data from North China power grid is constructed and its vulnerability is simulated and analyzed under random, dynamic and static attacks. © 2012 IEEE.

关键词： complex networks

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Distributed Quadratic Stabilization of Uncertain Linear Multi-Agent systems

Distributed Quadratic Stabilization of Uncertain Linear Mult...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Zhongkui Li Zhisheng Duan Lihua Xie Xiangdong Liu Key laboratory for Intelligent Control &Decision of Complex Systems School of Automation Beijing I State Key Lab for Turbulence and Complex Systems Department of Mechanics and Aerospace Engineering School of Electrical and ElectronicEngineering Nanyang Technological University 639798 Singapore Key laboratory for Intelligent Control & Decision of Complex Systems School of Automation Beijing

This paper considers the distributed quadratic stabilization problems of uncertain continuous-time linear multiagent systems with undirected communication topologies. It is assumed that the agents have identical nominal dynamics while subject to different norm-bounded parameter uncertainties, leading to weakly heterogeneous multi-agent systems. A distributed controller is proposed, based on the relative states of neighboring agents and a subset of absolute states of the agents. It is shown that the distributed quadratic stabilization problem under such a controller is equivalent to the H∞ control problems of a set of decoupled linear systems having the same dimensions as a single agent. A two-step algorithm is presented to construct the distributed robust controller, which does not involve any conservatism and meanwhile decouples the feedback gain design from the communication topology. Furthermore, the distributed quadratic H∞ control problem of uncertain linear multi-agent systems with external disturbances is discussed, which can be reduced to the scaled H∞ control problems of a set of independent systems whose dimensions are equal to that of a single agent.

关键词： Multi-agent system distributed control robustness H∞ control parameter uncertainty

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Backstepping based adaptive sliding mode control for spacecraft attitude maneuvers

Backstepping based adaptive sliding mode control for spacecr...

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UKACC International Conference on control (control)

作者： Binglong Cong Xiangdong Liu Zhen Chen Key laboratory for Intelligent Control & Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9781467315593

This paper aims to address the robust control problem of rigid spacecraft attitude maneuvers in the presence of inertia matrix uncertainty and external disturbance. A back-stepping based adaptive sliding mode control (B-ASMC) design is proposed as a solution, where the upper bounds of the parametric uncertainty and disturbance are not required in advance. Compared to current adaptive sliding mode control (ASMC) design, the B-ASMC design has two advantages. Theoretically, the asymptotical stability of the attitude states rather than the sliding function is guaranteed. Practically, the over-adaptation problem in current ASMC design is alleviated and the system performance is improved. Detailed design principle and rigorous closed-loop system stability analysis are provided. A large angle attitude maneuver is employed in the numerical simulation to verify the effectiveness of the proposed algorithm.

关键词： Uncertainty Attitude control Algorithm design and analysis Switches Materials requirements planning Backstepping Space vehicles

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Adaptive sliding mode control for spacecraft attitude maneuvers with reduced or eliminated reaching phase

Adaptive sliding mode control for spacecraft attitude maneuv...

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UKACC International Conference on control (control)

作者： Binglong Cong Xiangdong Liu Zhen Chen Key laboratory for Intelligent Control & Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China

This paper aims to present an improved adaptive sliding mode control (ASMC) design for rigid spacecraft attitude maneuvers. An adaptive scheme is proposed for the switching gain calculation when the upper bound of the system uncertainty is unknown in advance. Unlike existing ASMC design, which may result in an over-adaptation of the upper bound when the initial system trajectory is located far from the sliding surface, this paper presents a novel ASMC strategy by introducing a decay term in the sliding function to reduce or eliminate the unrelated factor in the adaptation scheme. Consequently, a lower-chattering control signal is achieved. Simulation results are presented to illustrate the effectiveness of the proposed strategy.

关键词： Uncertainty Switches Algorithm design and analysis Materials requirements planning Attitude control Space vehicles Vectors

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Graph-Based Background Suppression for Scene Text Detection

Graph-Based Background Suppression for Scene Text Detection

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IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Detecting text in video or natural scene image is quite challenging due to the complex background, various fonts and illumination conditions. The preprocessing period, which suppresses the nontext areas so as to highlight the text areas, is the basis for further text detection. In this paper, a novel graph-based background suppression method for scene text detection is proposed. Considering each pixel as a node in the graph, our approach incorporates pixel-level and context-level features into a graph. Various factors contribute to the unary and pair wise cost function which is optimized via max-flow/min-cut algorithm [16] to get a binary image whose nontext pixels are suppressed so that text pixels are highlighted. Furthermore, the proposed background suppression method could be easily combined with other detection methods to improve the performance. Experimental results on ICDAR 2011 competition dataset show promising performance.

关键词： Image edge detection Cost function Image color analysis Text categorization Feature extraction Computer vision

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A hierarchical networked urban traffic signal control system based on multi-agent

A hierarchical networked urban traffic signal control system...

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IEEE International Conference on Networking, Sensing and control

作者： Cheng Chen Zheng Jiang Li State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control agents, which can move from device to device in a network. The system can reconfigure and replace these agents according to inconstant states of traffic environment and performances of agents. By this way, demand-based control is realized in traffic signal control system. Then we described the details and key technologies in the procession of agent-generation, agent-storage and agent-usage. At last, a prototype of the system is developed and basic functions of this system are tested by simulations. These simulations also confirm extensibility and effectiveness of the system.

关键词： control systems Databases Organizations Vehicles Roads Mobile communication Aerospace electronics

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Adaptive Graph Cut Based Binarization of Video Text Images

Adaptive Graph Cut Based Binarization of Video Text Images

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IAPR International Workshop on Document Analysis systems, DAS

Interactive image segmentation which needs the user to give certain hard constraints has shown promising performance for object segmentation. In this paper, we consider characters in text image as a special kind of object, and propose an adaptive graph cut based text binarization method to segment text from background. The main contributions of the paper lie in: 1) in order to make the binarization local adaptive with uneven background, the text region image is firstly roughly split into several sub-images on which graph cut is applied, and 2) considering the unique characteristics of the text, we propose to automatically classify some pixels as text or background with high confidence, severed as hard constraints seeds for graph cut to extract text from background by spreading the seeds into the whole sub-image. The experimental results show that our approach could get better performance in both character extraction accuracy and recognition accuracy.

关键词： Image segmentation Image color analysis Image edge detection Character recognition Optical character recognition software Noise

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GPU based ordinal optimization for traffic signal coordination

GPU based ordinal optimization for traffic signal coordinati...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Wang, Kai Shen, Zhen Changsha Hunan China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 Guangdong Province China

ISBN: (纸本)9781467324007

Traffic signal coordination has long been a hot topic in intelligent Transportation systems (ITS) research. Simulation-based optimization is an important method to optimize the coordination designs as the traffic systems are not easily described by mathematical models accurately. For the traffic simulator in the method, micro-simulation is becoming more and more popular than the macroscopic or mesoscopic simulation in recent years, as the micro-simulation can describe drivers' decision-making process and their driving behaviors in the framework of ITS. However, the computing burden for the micro-simulation is usually very heavy as a large number of vehicles are modeled and simulated separately. For the optimizer in the method, iterative algorithms such as Genetic Algorithms (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO) are widely used to find the global optimal solutions. However, these algorithms usually take too much time to converge when a large-scale road network is encountered. To alleviate the computing burden and speed up the convergence, we build an agent-based traffic simulator and employ Ordinal Optimization (OO) as the optimizer. We accelerate both the simulator and the optimizer with Graphics Processing Unit (GPU), which has been applied successfully in many areas for parallel computing. Simulation results show the effectiveness of the OO method and the power of GPU for parallel computing. © 2012 IEEE.

关键词： Graphics processing unit

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