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2011 3rd International Asia Conference on Informatics in Control, Automation and Robotics(CAR 2011)

作者： Shaobo Ni Jianwu Wu Jiayuan Shan Lei Liu Mao Su School of Aerospace Engineering Beijing Institute of technology Beijing Aerospace Automatic Control Institute Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology

The analytical algorithm of program quaternion is studied,aiming at the problem of the arbitrary spacecraft attitude-adjusting *** also provides the analytical constructor method of the program quaternion for any given initial quaternion and angle velocity,terminal quaternion and angle *** advantages of this method are as follows:(1)Good *** of the initial and terminal conditions are arbitrary;(2)Simple *** calculation process only involves the simple algebraic operation;(3)Easy to *** using the program quaternion model,the time consumption in the process of spacecraft attitude adjustment and the maximum angular velocity can be optimized *** to the Mathematical simulation results,the program quaternion tracking can be realized by a simple PD control law.

关键词： Spacecraft Dynamic Modeling Attitude Control Quaternion

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Automatic Detection of the Intima-Media Layer in Ultrasound Common Carotid Artery image Based on Active Contour Model

Automatic Detection of the Intima-Media Layer in Ultrasound ...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Jiaoying Jin Mingyue Ding Xin Yang Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Life School of Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence(IPRAI) Life School of Science and Technology Huazhong University of Science and Technology Wuhan China

The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an accurate segmentation of the different layers of the carotid artery is needed. IMT is usually manually measured on longitudinal B-mode ultrasound images. In the past ten years, many computer-based techniques for intima-media thickness measurement have been proposed to overcome the limits of manual segmentation, but almost all of them require a certain degree of user interaction. In this paper we proposed a novel approach for the completely user-independent segmentation of the common carotid artery wall. Our algorithm is designed for the extraction of the intima and media layers of the distal carotid wall in ultrasound images. It is based on integrated approach consisting of common carotid artery region identification, contour initialization with threshold segmentation, intima-lumen segmentation with Snake, and media-adventitia segmentation with GVF-Snake that enables the automated tracing of the carotid walls. The acoustic impedance's difference is employed to locate common carotid artery region. Finally, the characterization of the algorithm in terms of segmentation error was evaluated with a set of 40 common carotid artery ultrasound images and compared to the segmentation traced by a trained operator. Experiments showed that a mean error lower than 1.3 pixel both on the intima and media layers was obtained, which is comparable to that obtained by means of operator dependent techniques.

关键词： image segmentation Carotid arteries Ultrasonic imaging Media Algorithm design and analysis Ultrasonic variables measurement

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Fusion of multispectral palmprint images for automatic person identification

Fusion of multispectral palmprint images for automatic perso...

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Electronics, Communications and Photonics Conference (SIECPC), Saudi International

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Signal and Image Processing Laboratory Electronics and Computer Science Faculty Telecommunication Department University of Science and Technology of Houari Boumedienne Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle-upon-Tyne UK

Reliability and accuracy in personal identification system is a dominant concern to the security world. Biometric has gained much attention in this subject recently. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies. This paper presents a novel biometric technique to automatic personal identification system using multispectral palmprint technology. In this method, each of spectrum images are aligned and then used to extract palmprint features using 1D log-Gabor filter. These features are then examined for their individual and combined performances. Finally, the hamming distance is used for matching of palmprint features. The experimental results showed that the proposed method achieve an excellent identification rate and provide more security.

关键词： Feature extraction Databases image fusion Discrete wavelet transforms Security Accuracy Hamming distance

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Predictive Control of Vehicle Based on Echo State Network

Predictive Control of Vehicle Based on Echo State Network

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International Conference on Intelligence science and Information Engineering (ISIE)

作者： Shaobo Ni Lei Liu Zhishen Wang Zirui Wang School of AeroSpace Engineering Beijing Institute of technology Beijing China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China

An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness and traceability. Then, the stability of the system is proved by Lyapunov function. Finally, the numerical simulation results of step-response and attitude tracking illustrate the robustness and effect of the method.

关键词： Predictive control Aerospace control Training Sparse matrices Neurons Aircraft Mathematical model

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3-D video quality improvement using depth transition data

3-D video quality improvement using depth transition data

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Woo-Shik Kim Antonio Ortega Jaejoon Lee HoCheon Wey Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA Advanced Media Laboratory Samsung Advanced Institute of Technology Samsung Electronics Company Limited South Korea

To improve rendered view quality in a 3-D video system, we propose to encode and transmit depth transition data, which represents, for each pixel in a frame, the location in between two existing views where the depth corresponding to that pixel changes. Given the highly localized and non-linear characteristics of rendered view distortion, it is possible to achieve better coding performance by providing this depth transition data only for subjectively important regions. In this paper, a method to apply the depth transition data to the view rendering procedure is proposed. Experimental results verify that improvements in subjective quality can be achieved by the proposed method.

关键词： Mobile communication Indexes IEC

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Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segmentation Review

Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segme...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Xin Yang Jiaoying Jin Ming Yuchi Mingyue Ding State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence (IPRAI) Huazhong University of Science and Technology HUST Wuhan Hubei China Image Processing and Intelligence Control Key Laboratory of Education Ministry of China School of Life Science and Technology Huazhong University of Science and Technology HUST Wuhan Hubei China

Stroke and heart attack, which could be led by a kind of cerebrovascular and cardiovascular disease named asatherosclerosis, would seriously cause human morbidity and mortality. And the carotid artery of intima-media thickness (IMT) is a key indicator to the disease. With the development of computer assisted diagnosis (CAD) technology, Ultrasound imaging, being real-time, economic, reliable, safe, and now seems to become a standard in vascular assessment methodology especially for the measurement of IMT. This review is an attempt to discuss the clinical relevance of measurements in clinical practice at first, and then followed by the challenges that one has to face when approaching the segmentation of ultrasound images. Secondly, the paper is presentation of common used methods for the IMT segmentation and measurement. An overview of summary and future perspectives is given in conclusion finally.

关键词： Ultrasonic imaging image segmentation Carotid arteries Ultrasonic variables measurement Biomedical imaging

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A Space Target Recognition Method Based on Compressive Sensing

A Space Target Recognition Method Based on Compressive Sensi...

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International Conference on image and Graphics (ICIG)

作者： Yuemei Ren Yangning Zhang Ying Li Jianyu Huang Jianjiang Hui Shaanxi Provincial Key Laboratory of Speech & Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China Beijing Institute of Tracking and Telecommunications Technology Beijing China

Small sample space target recognition is a difficult problem in applications because the limited training samples cannot lead to satisfactory recognition accuracy. Combined with novel compression perception theory, we propose a new space target recognition method based on compressive sensing. This method avoids the sophisticated image preprocessing and feature extraction process. Firstly, a sparse representation dictionary is constructed according to the training samples. Secondly, the linear measurements of test samples are obtained by measurement matrix. Finally, the classification and recognition are done through solving an optimization problem. Simulation experiment results show that the proposed method has good recognition performance and stability.

关键词： Feature extraction Training Target recognition Dictionaries Compressed sensing image recognition Sparse matrices

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Bi-iteration subspace tracking using instrumental variable

Bi-iteration subspace tracking using instrumental variable

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International Conference on Mechatronic science, Electric Engineering and Computer

作者： Wei-ke Nie Cong-guang Zhu Da-zheng Feng Jian-qiang Liu The School of Information Science and Technology Northwest University No. 39 Institute China Electronics Technology Group Corporation Xi'an China National Laboratory of Radar Signal Processing Xidian University Faculty of Science Xidian University Xi'an China

ISBN: (纸本)9781612847191

This paper proposes an approximated power method to track the signal subspace. Using rank-one update model, the signal subspace can be obtained by finding the least square solutions of two unconstrained weight functions. As introduced in instrumental variable (IV), this bi-iteration algorithm can track signals corrupted by colored noise. Especially the tracking results are orthonormalized to get better performances. Some DOA simulations are provided to illustrate the effectiveness of the proposed method.

关键词： signal processing algorithms Instruments Approximation algorithms Sensor arrays Approximation methods

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Guest Editorial: Vehicular communications and networks - Part I

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IEEE Journal on Selected Areas in Communications 2011年第1期29卷 1-6页

作者： Wang, Cheng-Xiang Vasilakos, Athanasios V. Murch, Ross D. Stüber, Gordon Shen, Xuemin Sherman Chen, Wai Kosch, Timo Joint Research Institute for Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS United Kingdom Dept. of Computer and Telecommunications Engineering University of Western Macedonia Kozani 50100 Greece Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Applied Research Telcordia Technologies Inc. Piscataway NJ 07054 United States BMW Group Research and Technology Hanauer Strasse 46 D-80992 Munich Germany

Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.

关键词： Communication Research iodine VEHICULAR COMMUNICATIONS

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Improving strategies on PSO for suborbit launch vehicle trajectory optimization

Improving strategies on PSO for suborbit launch vehicle traj...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Fuqiang Xie Ye Yang Songtao Chang Yongji Wang School of Electric Engineering University of South China Hengyang China Beijing AeroSpace Automatic Control Institute Beijing China Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

Solving the optimal control problem with a free final time, such as suborbital launch vehicle (SLV) trajectory optimization with two control variables and multi-constraints ones based on particle swarm optimization (PSO), the smoothness of control variable can not be satisfied by linear interpolation method. A novel method including some improving strategies based on PSO for trajectory optimization is proposed, named LCPSO which is a kind of Cooperate PSO based on Legendre orthogonal polynomials. An additional control variable is introduced and transcribes the original optimal problem to a problem with fixed final time, and one dimension searching method based on interval analysis is used to optimize the additional control variable. Furthermore, a theorem on how to find the boundaries of the coefficient of polynomials is proved. Compared with basic PSO, LCPSO has traits of lower dimensions and smoother control variable. An example of trajectory optimization shows the effectiveness of the LCPSO algorithm.

关键词： Polynomials Optimization Switches Trajectory Optimal control Vehicles Approximation methods

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