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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Wei Li Junfei Qiao Xiao-Jun Zeng College of Electronic Information and Control Engineering Beijing University of Technology Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China School of Computer Science University of Manchester Manchester U.K

ISBN: (纸本)9781467376839

This paper provides a complete solution for the problem how to accurately compute the similarity between fuzzy sets with Gaussian membership functions, which is a fundamental issue for the identification and simplification of FNNs. It is shown that there are three different types of similarities between a pair of Gaussian membership functions dependent on the relative positioning between the given pair of membership functions, and the accurate and detailed computing formulas are given in each type. A simulation example is given to compare the proposed accurate similarity analysis method with the existing approximation approaches and to show how much more accuracy can be obtained than the approximation one in terms of absolute percentage approximation error.

关键词： Fuzzy sets Fuzzy neural networks Shape Computational modeling Bismuth Knowledge discovery

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Environment exploration and recognition for mobile robot using immune algorithm and objectness measure

Environment exploration and recognition for mobile robot usi...

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IEEE International Conference on Mechatronics and Automation

作者： Wenbin Qu Songmin Jia Xue Zhao College of Electronic Information & Control Engineering Beijing University of Technology Beijing China Engineering Research Center of Digital Community Ministry of Education Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (纸本)9781479970995

In order to complete a service task more efficiently, robot needs to create a map quickly and recognize objects during this process. In this paper, a novel mapping method is proposed to address this problem. Firstly, Admissible Space Tree is generated to acquire possible node. Then, immune algorithm is applied for its advantages such as diversity, dynamic, parallel management and self-adaptation. And antibody affinity is constructed to select optimal path. Meanwhile, robot recognizes key objects on its way to get the semantic information. To achieve this purpose, normed gradients feature has been extracted to describe the object windows. It is based on just a few training images and also has the ability to learn incrementally. Subsequently, three support vector machines are respectively used for objectness estimation and object types detection. Experimental results demonstrate that the presented method can build a semantic map more efficient, which verifies the feasibility of proposed algorithm.

关键词： Immune system Support vector machines Semantics Robot sensing systems Algorithm design and analysis Object recognition

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Sparse learning for salient facial feature description

Sparse learning for salient facial feature description

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Yue Zhao Jianbo Su Department of Automation and Key Laboratory of System Control and Information Processing Shanghai

High dimension of the features employed for face recognition is the main reason to slow down the recognition speed. Additionally, selecting salient facial features has significant impact on the efficiency of face recognition. In order to get the sparse and salient facial features, this paper propose a new sparse learning approach for salient facial feature description. This approach is to learn the feature evaluation vector with the training samples composed of within- and between-class distance vector sets. Then, the feature evaluation vector is employed to construct a new model for salient facial feature description. Experimental results show that the proposed method achieves much better face recognition performance with lower feature dimensionality.

关键词： Vectors Facial features Face recognition Face Training Databases Feature extraction

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Hybrid transform for HEVC-based lossless coding

Hybrid transform for HEVC-based lossless coding

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2014 IEEE International Symposium on Circuits and systems, ISCAS 2014

作者： Chen, Fangdong Zhang, Jinlei Li, Houqiang CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China

ISBN: (纸本)9781479934324

The High Efficiency Video Coding (HEVC) with the transform bypass mode is simple but inefficient for lossless coding. For this reason, we propose a novel transform to further eliminate the redundancy between residues of different blocks in intra prediction. Dependent on intra prediction modes, the proposed transform is adaptable to exploit correlations of residues formed by different modes. In order to accurately obtain parameters of the transform matrix, an approach similar to the Wiener filtering method is adopted. Experimental results show that on top of the lossless coding mode in HEVC, our method offers the performance with a 7.4% bit-rate reduction on average for All Intra Main configuration. Compared with other representative algorithms, our proposal still shows an improvement in the compression ratio, without substantial increases of computational complexity in the encoder or decoder. © 2014 IEEE.

关键词： Forecasting

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Graph Pattern Matching through Model Checking

Graph Pattern Matching through Model Checking

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International Conference on Database Theory and Application (DTA)

作者： Rui Qiao Xiaolei Zhong Ling Zhang Heng He College of Computer Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China School of Software Huazhong University of Science Wuhan China College of Management Wuhan University of Science and Technology Wuhan China

Graph pattern matching is a hot spot in the big data era, which is to find answer graphs matching a given query graph in a data graph of graph databases. “Matching” means two graphs satisfy some relation, such as isomorphism, simulation, bisimulation, etc. Since there are seldom algorithms for the subgraph bisimulation, our work commits to solve the graph pattern matching problem involving bisimulation relations through the model checking technology. We characterize query graphs by modal formulas. By model checking the formulas in the data graphs, the answer graphs bisimilar to the query graphs can be discovered. We add * to basic modal logic language resulting in ML + * language, and add r* to form ML + * formulas. Then a theorem which states that ML + * formulas characterize finite directed graphs modulo bisimulation is put forward. Furthermore, we list steps to find answer graphs bisimilar to a query graph.

关键词： Model checking Pattern matching Databases Big data Topology Arrays Computer science

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Solving online for time-varying pth root via ZD from real domain to complex domain

Solving online for time-varying pth root via ZD from real do...

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International Conference on information Science and Technology (ICIST)

作者： Yunong Zhang Deyang Zhang Zhengli Xiao Hongzhou Tan Zhen Li Key Laboratory of Autonomous System and Networked Control Ministry of Education Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China School of Information Science and Technology Sun Yat-sen University Guangzhou China

In this paper, continuous-time Zhang dynamics (CTZD) models and discrete-time Zhang dynamics (DTZD) models are proposed to solve in real time for the time-varying pth root, from real domain to complex domain. In addition, the convergence properties of the proposed Zhang dynamics (ZD) models are discussed and proved. Furthermore, exploiting different parameters in the proposed ZD models is investigated in order to achieve superior convergence and better accuracy. Computer-simulation and experiment results further substantiate the efficacy of the proposed ZD models. Moreover, the superiority of DTZD models is verified by comparing with Newton-Raphson iteration (NRI).

关键词： Computational modeling Polynomials Force Lead Convergence Logic gates

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Applying system Thinking to Learn from Accident of Modern Automatic control systems

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Chinese Journal of Electronics 2014年第2期23卷 409-414页

作者： NIU Ru CAO Yuan GE Xiaocheng TANG Tao State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Department of Computer Science University of York

Modern societies increasingly rely on automatic control systems. These systems are hardly pure technical systems; instead they are complex socio-technical systems, which consist of technical elements and social components. It is necessary to have a systematic approach to analyze these systems because it is growing evidence that accidents from these systems usually have complex causal factors which form an interconnected network of events,rather than a simple cause-effect chain. We take railway Train control systems(TCS) as an example to demonstrate the importance of the socio-technical approach to analyze the system. The paper presents an investigation of recent high-speed railway accident by applying STAMP – one of the most notable socio-technical system analysis techniques, outlines improvements to the system which could avoid similar accidents in the future. We also provide our valuable feedback for the use of STAMP.

关键词： Socio-technical automatic system Railway safety Accident analysis systems theoretic accident model and processes(STAMP)

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ZG control for 2-output tracking of 3-input nonlinear system with GD used additionally twice more

ZG control for 2-output tracking of 3-input nonlinear system...

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International Conference on information and Automation (ICIA)

作者： Yunong Zhang Ming Liu Yinyan Zhang Zeqi Chen Hongzhou Tan Key Laboratory of Autonomous System and Networked Control Ministry of Education Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China School of Information Science and Technology Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781467391054

In this paper, the Zhang-gradient (ZG) method, which is a combination of Zhang dynamics (ZD) and gradient dynamics (GD) methods, is proposed for solving the tracking control problem of the multiple-input multiple-output (MIMO) system. Different from the traditional ZG method, GD is used additionally twice more in this paper to get through the derivation procedure. Moreover, each GD parameter is tunable for each GD design formula instead of being traditionally assigned the same value, which is the key point in this research for making simulations successful. Besides, simulation verifications further illustrate that the proposed controller group based on the ZG method achieves not only satisfactory tracking accuracy but also rapid tracking rate.

关键词： Trajectory Nonlinear systems MIMO Accuracy Automation Linear systems

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The improved neural network algorithm of license plate recognition

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, Image processing and Pattern Recognition 2015年第5期8卷 49-54页

作者： Dong, Jingwei Sun, Meiting Liang, Gengrui Jin, Kui School of Measure-Control Technology and Communication Engineering The higher educational key laboratory for Signal and Information Processing of Heilongjiang Province Harbin University of Science and Technology Harbin China School of Electric and Electronic Engineering Harbin University of Science and Technology Harbin China

With high definition cameras are widely used in urban traffic monitoring, the resolution of vehicle and traffic monitoring image rises. As the main component of intelligent traffic system, the vehicle license plate recognition technique faces new challenges and some new demands are put forward. Aiming at the problems of cutting down the time delay and eliminating characters outside of vehicle license plate, a set of license plate recognition algorithm is developed in this paper. The process of recognition in this paper is divided into four parts: image preprocessing, license plate location, license plate segmentation and character recognition. In license plate location, an accelerating matching method based on particle image correlation method is employed. In character recognition, an improved BP neural network algorithm is employed. The principle, procedure and simulation of the algorithm is described in details. High definition images with 2 mega pixels are used as the input of simulation. © 2015 SERSC.

关键词： Image enhancement

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Dynamic anti-windup design for anticipatory activation:enlargement of the domain of attraction

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Science China(information Sciences) 2014年第1期57卷 164-177页

作者： WU XiongJun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.

关键词： actuator saturation anti-windup anticipatory activation domain of attraction dynamic com-pensator

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