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作者： Li, Wenling Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Ministry of Education Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9783902661937

In this paper, a risk-sensitive filter for a class of jump Markov nonlinear systems is proposed. By using a set of weighted cubature points to approximate the intractable risk-sensitive recursions, the proposed filter could exhibit improved numerical stability with respect to the derivation of the square-root covariance, for which the unscented transform technique might halt the operations due to the presence of non-positive definite covariance. The performance of the proposed filter is illustrated through a simulation study of tracking a land vehicle with maneuvers. © 2011 IFAC.

关键词： Kalman filters

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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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Implementation of behavioral subtyping in aspect-oriented program

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第2期5卷 206-215页

作者： He, Chengwan Li, Zheng Computer School of Science and Engineering Wuhan Institute of Technology Wuhan 430073 China Hubei Province Key Laboratory of Intelligent Robot Wuhan 430073 China State key laboratory of Software Engineering School of Computer Wuhan University China

Semantic conflicts may appear in the process of weaving aspects in the aspect-oriented program. This paper proposes an approach to check such semantic conflicts based on the concept of behavioral subtyping, and presents the conditions of behavioral subtyping. Through extracting the preconditions and postconditions defined in the base program and aspects, then automatically transforming them into the code to check conditions of behavioral subtyping, consequently it achieves checking of semantic conflicts, and guarantees correctness of the program's behavior after weaving aspects. These codes for checking semantic conflicts are implemented by using aspects, and the implementation method is explained through an example.

关键词： Aspect oriented programming

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Study of hybrid strategy for ambulatory ECG waveform clustering

Journal of Software

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Journal of software 2011年第7期6卷 1257-1264页

作者： Zheng, Gang Yu, Tian Laboratory of Biological signal and Intelligent Processing Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China School of Computer and Communication Engineering Tianjin University of Technology Tianjin China Laboratory of Biological signal and Intelligent Processing Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

A hybrid strategy has been proposed to reduce the wrong clustering on Ambulatory ECG (electrocardiogram). Since Ambulatory ECG is usually composed by 24 hours data, the number of individual ECG waveform can reach to 100,000, the request for accurate clustering result is highly required. The proposed strategy adopted some intelligent algorithms to solve the above problem. It clusters ECG waveform sample (selected from Ambulatory ECG) synchronously by Max-Min distance clustering algorithm, K-means algorithm and Simulated annealing algorithm first. And then, it adopted all three outputs from the above three algorithms as input on Back Propagation Artificial Neural Network (BP ANN). In the end, we got more accurate clustering result from the output of ANN. For testing the results, data of MIT/BIH arrhythmia database were used for experiments. After the controlled trial on MIT/BIH data, it can be safely concluded that the clustering result achieved by improved strategy can got more accurate than that by the traditional clustering algorithm. An average accuracy ratio is about 94.6%, 1.6% higher than k-means algorithm averagely and 1.3% higher than Simulated Annealing algorithm averagely. © 2011 ACADEMY PUBLISHER.

关键词： Electrocardiograms

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Integrating Multi-Criteria Collaborative Filtering and Trust filtering for personalized Recommender Systems

Integrating Multi-Criteria Collaborative Filtering and Trust...

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IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM

作者： Qusai Shambour Jie Lu Laboratory of Decision Systems and e-Service Intelligence School of Software Centre of Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology-Sydney NSW Australia Laboratory of Decision Systems and e-Service Intelligence School of Software Centre of Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology Sydney University of Technology NSW Australia

Recommender Systems are information systems that attempt to recommend items of interest to particular users based on their explicit and implicit preferences. Multi-Criteria Decision Making (MCDM) aims at assisting the decision maker in the decision making process, or giving the decision maker a recommendation, concerning a set of actions, alternatives, items etc. Thus, despite their differences, Recommender Systems and Multi-Criteria Decision Making share the same objective which is supporting the decision making process and reducing information overload. In this paper we propose a novel hybrid Multi-Criteria Trust-enhanced CF (MC-TeCF) approach. The proposed MC-TeCF approach combines the MC user-based CF and the MC user-based Trust filtering approaches to alleviate the standard Single-Criteria user-based CF limitations. Empirical results demonstrate the significance and effectiveness of the proposed MC-TeCF approach in terms of improving accuracy, as well as in dealing with very sparse data sets or cold start users compared with the standard Single-Criteria user-based CF approach.

关键词： Recommender systems Motion pictures Measurement Decision making Decision support systems Social network services

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Adaptive iterative learning control for uncertain delay systems based on model matching technique

Adaptive iterative learning control for uncertain delay syst...

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作者： Su, Haixia Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781457700804

In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme. © 2011 AACC American Automatic Control Council.

关键词： Iterative methods

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Gaussian mixture PHD smoother for jump Markov models in multiple maneuvering targets tracking

Gaussian mixture PHD smoother for jump Markov models in mult...

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作者： Li, Wenling Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781457700804

This paper presents a Gaussian mixture probability hypothesis density (GM-PHD) smoother for tracking multiple maneuvering targets that follow jump Markov models. Unlike the generalization of the multiple model GM-PHD filters, our aim is to approximate the dynamics of the linear Gaussian jump Markov system (LGJMS) by a best-fitting Gaussian (BFG) distribution so that the GM-PHD smoother can be carried out with respect to an approximated linear Gaussian system. Our approach is inspired by the recognition that the BFG approximation provides an accurate performance measure for the LGJMS. Furthermore, the multiple model estimation is avoided and less computational cost is required. The effectiveness of the proposed smoother is verified with a numerical simulation. © 2011 AACC American Automatic Control Council.

关键词： Probability density function

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Neural networks control of a nonholonomic mobile robot with deadzone compensation

Neural networks control of a nonholonomic mobile robot with ...

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作者： Wang, Kai Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Henan Jiaozuo 454000 China

ISBN: (纸本)9789881725592

This paper presents a control structure designed by backstepping method for nonholonomic mobile robots with deadzone compensation scheme. The backstepping controller makes integration of a kinematic controller and a torque controller without the perfect velocity tracking assumption. The deadzone precompensator using two neural networks(NNs),one to estimate the unknown deadzone and the other to provide adaptive compensation for general nonlinear actuator deadzones of unknown width. And a novel neural network structure is presented for approximation of piecewise continuous functions of the sort that appear in deadzone. The neural precompensator is employed to improve the performance of the backstepping controller. Stability analysis and convergence of tracking errors to zero as well as the learning algorithms for weights are guaranteed with basis on Lyapunov method. Simulations results are provided to show the effectiveness of the proposed approach. © 2011 Chinese Assoc of Automati.

关键词： Neural networks

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No-go theorem for one-way quantum computing on naturally occurring two-level systems

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Physical Review A 2011年第5期83卷 050301(R)-050301(R)页

作者： Jianxin Chen Xie Chen Runyao Duan Zhengfeng Ji Bei Zeng Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts USA Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales Australia Perimeter Institute for Theoretical Physics Waterloo Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Institute for Quantum Computing and Department of Combinatorics and Optimization University of Waterloo Waterloo Ontario Canada

The ground states of some many-body quantum systems can serve as resource states for the one-way quantum computing model, achieving the full power of quantum computation. Such resource states are found, for example, in spin-52 and spin-32 systems. It is, of course, desirable to have a natural resource state in a spin-12, that is, qubit system. Here, we give a negative answer to this question for frustration-free systems with two-body interactions. In fact, it is shown to be impossible for any genuinely entangled qubit state to be a nondegenerate ground state of any two-body frustration-free Hamiltonian. What is more, we also prove that every spin-12 frustration-free Hamiltonian with two-body interaction always has a ground state that is a product of single- or two-qubit states. In other words, there cannot be any interesting entanglement features in the ground state of such a qubit Hamiltonian.

关键词： QUANTUM computers QUANTUM theory HAMILTONIAN operator HAMILTONIAN systems PHYSICS

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Strong barrier coverage using directional sensors with arbitrarily tunable orientations

Strong barrier coverage using directional sensors with arbit...

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2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011

作者： Tao, Dan Mao, Xu-Fei Tang, Shao-Jie Zhang, Hai-Tao Ma, Hua-Dong Xie, Hai-Jiang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Beijing Key Laboratory of Intelligent Telecomm. Software and Multimedia Beijing University of Posts and Telecomm. Beijing China Department of Computer Science Illinois Institute of Technology Chicago IL United States Department of Computer Science and Technology Xi'An JiaoTong University Xi'An China

ISBN: (纸本)9780769546100

Barrier coverage is an important problem for sensor networks to fulfill some given sensing tasks. Barrier coverage guarantees the detection of events happened crossing a barrier of sensors. In majority study of barrier coverage using sensor networks, sensors are assumed to have an isotropic sensing model. However, in many applications such as monitoring an area using video camera, the sensors have directional sensing model. In this paper, we investigate strong barrier coverage using directional sensors, where sensors have arbitrarily tunable orientations to provide good coverage. We investigate the problem of finding appropriate orientations of directional sensors such that they can provide strong barrier coverage. By exploiting geographical relations among directional sensors and deployment region boundaries, we first introduce the concept of virtual node to reduce the solution space from continuous domain to discrete domain. We then construct a directional barrier graph (DBG) to model this barrier coverage question such that we can quickly answer whether there are directional sensors' orientations that can provide strong barrier coverage over a given belt region. If the belt region is strong barrier covered, we then develop energy-efficient solutions to find strong barrier path(s) that will approximately minimize the total or the maximum rotation angles of all directional sensors. Extensive simulations are conducted to verify the effectiveness of our solution. © 2011 IEEE.

关键词： Sensor networks

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