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Convergence analysis of particle swarm optimization algorithm

Advances in information Sciences and Service Sciences 2012年第14期4卷 25-32页

作者： Gao, Shang Cao, Cungen School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China Key Laboratory of Intelligent Computing Information Processing of Ministry of Education Xiangtan University Xiantan 411105 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied from the dynamic system theory, and the condition for the convergence of particle swarm algorithm is given. The analysis provided qualitative guidelines for the general algorithm parameter selection. Results of numerical tests show the efficiency of the results.

关键词： Parameter estimation

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A new location method for wireless sensor networks: Beacon in increasing-ring algorithm

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2012年第20期6卷 392-399页

作者： Chen, Wei Wang, Qian Wang, Xin School of Computer Science and Technology China University of Mining and Technology Xuzhou city Jiangsu province 221116 China State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology Xuzhou city Jiangsu province 221116 China Information Science and Engineering Department Southeast University Nanjing Jiangsu 210096 China Institute of Electronics Chinese Academy of Sciences Beijing 100190 China

Location algorithm is an essential supporting technique of wireless sensor networks (WSNs), and centroid location algorithm is one of the important methods to locate low power WSNs nodes. In this paper, It is analyzed the principle of centroid location algorithm and the influence of beacon nodes on location precision, and proposed beacons in increasing-ring (BIR) location algorithm. The algorithm firstly estimated the beacons nodes closed to unkown nodes, found beacons nodes that are distributed as impartial as possible, and regarded them as centroid location. 20 times of simulation experiments were carried with 1000 nodes that are distributed randomly in an area of 1000×1000 by centroid location algorithm and BIR algorithm methods. The location error near the center of the experimental area is smaller than marginal area, and the precision of beacon nodes in concentrated area is more precise, the average location error has been reduced by 32.72%, and the number of unknown nodes that are required by BIR algorithm decreased by 84.61% than that of centroid location algorithm. When the beacon nodes take up to 30%, communication radius with more than 180 has less influence on the location error of BIR algorithm. When the communication radius is 200, and the number of beacon nodes is more than 250, BIR algorithm can have a good effect. Therefore, the performance of the new algorithm is better than that of the centroid location algorithm.

关键词： Location

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Multi-feature metric learning with knowledge transfer among semantics and social tagging

Multi-feature metric learning with knowledge transfer among ...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Shuhui Wang Shuqiang Jiang Qingming Huang Qi Tian Key Laboratory of Intell. Information Process.(CAS) Institute of Comput. Technology CAS Beijing China Chinese Academy of Sciences Beijing China Department of Computer Science University of Texas at San Antonio TX USA

Previous metric learning approaches learn a unified metric for all the classes on single feature representation, thus cannot be directly transplanted to applications involving multiple features, hundreds to thousands of hierarchical structured semantics and abundant social tagging. In this paper, we propose a novel multi-task multi-feature metric learning method which models the information sharing mechanism among different learning tasks. We decompose the real world multi-class problems such as semantic categorization or automatic tagging into a set of tasks where each task corresponds to several classes with strong visual correlation. We conduct metric learning to learn a set of (hyper)category-specific metrics for all the tasks. By encouraging model sharing among tasks, more generalization power is acquired. Another advantage is the capability of simultaneous learning with semantic information and social tagging based on the multi-task learning framework, and thus they both benefit from the information provided by each other. Experiments demonstrate the advantages on applications including semantic categorization and automatic tagging compared with other popular metric learning approaches.

关键词： Measurement Kernel Semantics Tagging Training Visualization Support vector machines

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Performance Analysis for Intrusion Target Detection in Wireless Sensor Networks

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电子学报(英文版) 2011年第4期20卷 725-729页

作者： FAN Gaojuan WANG Ruchuan HUANG Haiping SUN Lijuan XIAO Fu College of Computer Nanjing University of Posts and Telecommunications Nanjing Chin School of Computer and Information Engineering Henan University Kaifeng China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education of Jiangsu Province Nanjing China

Target detection and field surveillance are among the most prominent applications of wireless sensor networks. The quality of detection achieved by a sensor network can be quantified by evaluating the probability of detecting a mobile target crossing a sensing field. Detection probability of sensor nodes has been studied in sensor networks for many purposes such as quality of service and decision making. However, the sensing capabilities of sensors are affected by environmental factors in real deployment. This paper investigates the problem of detecting probability in a log-normal shadow fading environment. It presents an analytic method to evaluate the detection probability by at least k sensors under practical considerations. Furthermore, we also shows that shadow fading makes significant influence in detection probability compared to unit disk sensing model through extensive simulation experiments.

关键词：无线传感器网络目标检测性能分析入侵检测概率环境因素阴影衰落传感器节点

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Answering contextual questions based on ontologies and question templates

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Frontiers of computer Science 2011年第4期5卷 405-418页

作者： Dongsheng WANG Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China Department of Computer Science Jiangsu University of Science and Technology Zhenjiang 212003 China

Contextual question answering （CQA）, in which user information needs are satisfied through an interactive question answering （QA） dialog, has recently attracted more research attention. One challenge is to fuse contextual information into the understanding process of relevant questions. In this paper, a discourse structure is proposed to maintain semantic information, and approaches for recognition of relevancy type and fusion of contextual information according to relevancy type are proposed. The system is evaluated on real contextual QA data. The results show that better performance is achieved than a baseline system and almost the same performance as when these contextual phenomena are resolved manually. A detailed evaluation analysis is presented.

关键词： Contextual question answering （CQA）,ontology question templates

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A content-based classified hierarchical vector quantization algorithm for volume compression

Journal of Software

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Journal of Software 2011年第2期6卷 322-330页

作者： Zhao, Li-Ping Yue, Guang-Xue Xiao, De-Gui Zhou, Xu Yu, Xiang Yu, Fei School of Mathematics and Information Engineering Jiaxing University Jiaxing Zhejiang China School of Computer and Communication Engineering Hunan University Changsha Hunan China Department of Computer Science and Technology Huaihua University Huaihua China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

An improved volumetric compression algorithm is presented in this paper. Histogram technique is used for analyzing the trait of volume data. The volume data is then partitioned into volume bricks which will be classified into two groups, the blocks with meaningless information as one group (also called empty blocks), and those with meaningful information as the other group (also called object blocks). An efficient hierarchical VQ is applied to compress object blocks while for empty blocks, nothing is saved. Compare with analogous Volume Compression algorithm, experimental results demonstrate the proposed algorithm not only can improve the compression rate significantly on the premise of the good quality of reconstruction image, but also can obtain fast decoding speed. © 2011 ACADEMY PUBLISHER.

关键词： Graphics processing unit

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Adaptive sliding mode controller for vehicle suspension system

Adaptive sliding mode controller for vehicle suspension syst...

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2011 International Conference on information Science and technology, ICIST 2011

作者： Xin, Mingyuan Fei, Juntao Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology College of Computer and Information Hohai University Changzhou 213022 China

ISBN: (纸本)9781424494408

For the tracking control problem of vehicle suspension system, a method of adaptive sliding mode control is derive in this paper. The influence of parameter uncertainties and external disturbances on the system performance can be reduced and control robustness can be improved. The adaptive sliding mode controller is designed so that the practical system can track the state of the reference model. The asymptotically stability of the adaptive sliding mode control system is proved based on the Lyapunov stability theory. Numerical simulations demonstrate the effectiveness of the proposed adaptive sliding mode control. © 2011 IEEE.

关键词： Sliding mode control

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System dynamics and adaptive control of MEMS gyroscope sensor

System dynamics and adaptive control of MEMS gyroscope senso...

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作者： Fei, Juntao Dai, Weili Hua, Mingang Xue, Yuncan Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology College of Computer and Information Hohai University Changzhou 213022 China

ISBN: (纸本)9783902661937

This paper presents an adaptive control approach for Micro-Electro- Mechanical Systems (MEMS) z-axis gyroscope sensor. The dynamical model of MEMS gyroscope sensor is developed and established. The proposed adaptive control approaches can estimate the angular velocity and the damping and stiffness coefficients including the coupling terms due to the fabrication imperfection. The stability of the closed-loop systems are established with the proposed adaptive control strategies. Numerical simulations are investigated to verify the effectiveness of the proposed control schemes. © 2011 IFAC.

关键词： Sliding mode control

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Adaptive sliding mode control of MEMS triaxial gyroscope based on RBF network

Adaptive sliding mode control of MEMS triaxial gyroscope bas...

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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Fei, Juntao Ding, Hongfei Yang, Yuzheng College of Computer and Information Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Hohai University Changzhou 213022 China

ISBN: (纸本)9781424481149

This paper presents a robust adaptive sliding mode control strategy of MEMS triaixal gyroscope using radial basis function (RBF) neural network. A key property of this scheme is that the prior knowledge of the upper bound of the system uncertainties is not required. Adaptive RBF neural network that could learn the unknown upper bound of model uncertainties and external disturbances is incorporated into the adaptive sliding mode control scheme in the same Lyapunov framework. The proposed adaptive sliding mode controller can update the estimates of all stiffness errors, damping terms and angular velocities in real time and guarantee the stability of the closed loop system. Numerical simulation for a MEMS triaxial angular velocity sensor is investigated to verify the effectiveness of the proposed adaptive RBF sliding mode control scheme. © 2011 IEEE.

关键词： Angular velocity

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Rational semantics for prioritized logic programs

Rational semantics for prioritized logic programs

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International Conference on computer Science and Service System

作者： Zhang, Zhizheng School of Computer Science and Engineering Southeast University Nanjing 210096 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University China

ISBN: (纸本)9781424497638

Both preference logics and preference representation in logic programming are concerned with reasoning about preferences on combinatorial domains, yet little research has been published using preference axioms in logic programming with preferences. In this paper, we propose a rational semantic for prioritized logic programming by combining rational preference with ideas underlying answer set programming. The rational semantics can implement a pervasive prioritized reasoning idea: The more preferential the precondition is, the more preferential the conclusion is. Rational preference logic is used to modeling the behavior of a rational agent. In this paper, we use rational preference axioms as the preference propagation principles. © 2011 IEEE.

关键词： Logic programming

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