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2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008

作者： Xiaomin, Wang Wenfang, Zhang Key Laboratory of Traffic Information Engineering and Control Southwest Jiaotong University Chengdu Sichuan 610031 China Key Laboratory of Information Security and National Computing Grid Southwest Jiaotong University Chengdu Sichuan 610031 China

ISBN: (纸本)9780769534909

Remote user authentication schemes are widely investigated recently. This paper points out some existent problems in smartcard based schemes. As a comprehensive solution, a novel authentication scheme using two-variant hashing technique and fingerprintbiometric is presented. Security analysis shows that the proposed scheme provides secure, robust, and trustworthy remote authentication over insecure network. Moreover, computational costs and efficiency of this scheme are encouraging for practical implementation in the resourceconstraint environment. © 2008 IEEE.

关键词： Smart cards

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Wavelet de-noising and gradient enhancement in biomedical image processing

Wavelet de-noising and gradient enhancement in biomedical im...

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8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008

作者： Procházka, Aleš Hošťálková, Eva Vyšata, Oldřich Department of Computing and Control Engineering Institute of Chemical Technology in Prague Technická 6 166 28 Prague 6 Czech Republic Neurocenter Caregroup Jiráskova 1389 516 01 Rychnov nad Kněžnou Czech Republic

ISBN: (纸本)9780889867598

Detection of specific image components, their visualization and classification belong to main topics of biomedical image processing. The paper is devoted to problems related to the use of discrete wavelet transform (DWT) and the dual-tree complex wavelet transform (DTCWT) for image denoising and to selected methods of its enhancement. The study presents the analysis of results achieved for different wavelet functions and the following application of gradient methods for specific image components detection. The information content of final images is followed both from the medical point of view using the previous experience and numerically through the analysis of image spectral components. The proposed methods indicate the efficiency of the dual-tree complex wavelet transform use in this area.

关键词： Image denoising

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Multi-channel signal segmentation and classification

Multi-channel signal segmentation and classification

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8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008

作者： Procházka, Aleš Bartošová, Veronika Vyšata, Oldřich Department of Computing and Control Engineering Institute of Chemical Technology in Prague Technická 6 166 28 Prague 6 Czech Republic Neurocenter Caregroup Jiráskova 1389 516 01 Rychnov nad Kněžnou Czech Republic

ISBN: (纸本)9780889867598

Multi-channel sensors and multi-channel signal analysis form a specific area of general digital signal processing methods with applications in medicine, environmental signal analysis or technology. The paper is devoted to general mathematical methods related to initial signal de-noising, detection of its principal components and segmentation to find its specific parts. Feature detection includes the use of discrete wavelet transform (DWT) and discrete Fourier transform (DFT) for estimation of features invariant to signal shift to form clusters of close data segments. The selforganizing neural networks are then used for signal segments classification. Results are numerically evaluated by statistical analysis of distances of individual feature vector values from the corresponding cluster centers. Proposed methods are used for electroencephalogram (EEG) signal segmentation based upon detection of changes of signal spectral components applied to its first principal component, signal segments feature extraction and their classification. Results achieved are compared for different data sets and different mathematical methods used to detect signal segments features. Numerical results are compared with experience of experts specialized to EEG data analysis to allow further correlation with MR images. Proposed methods are accompanied by the appropriate graphical user interface (GUI) designed in the MATLAB environment.

关键词： Principal component analysis

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Design of an automatic detecting system of permafrost temperature and data analysis in qinghai-tibet railway

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Tiedao Xuebao/Journal of the China Railway Society 2008年第5期30卷 130-134页

作者： Shang, Ying-Chun Qi, Hong-Yuan Feng, Yun-Mei Zhu, Hong-Ying School of Mechanical and Electronics Control Engineering Beijing Jiaotong University Beijing 100044 China Institute of Computing Technologies China Academy of Railway Sciences Beijing 100081 China

An automatic detection system for permafrost temperature was designed in accordance with the characteristics and tests of the permafrost temperature affacting the safety of the Qinghai-Tibet Railway, as well as comparison between analyses in the respect at home and abroad. This system consists of a host computer and some under computers. Precise thermistors were used as the temperature sensors arranged on the test points. The temperature parameters of the permafrost were collected through the timing tests, data storage and transmission by the under computers while description and analysis of the changes of the parameters were made through the data reception, treatment and analysis by the host computer. Information obtained has provided a data basis for designing the permafrost on the Qinghai-Tibet Railway. Two section of the railway were taken as the temperature tests points. This system can provide important information of the behavior of the permafrost on the Qinghai-Tibet Railway.

关键词： Permafrost

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An Illumination Compensation Method for Images under Variable Lighting Condition

An Illumination Compensation Method for Images under Variabl...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Haibo Wu Ping Jiang Jin Zhu Department of Information and Control Engineering University of Tongji Shanghai China Department of Computing University of Bradford Bradford UK

This paper presents an illumination compensation method for images under variable lighting condition. The algorithm consists of two processes. First, the camera response function is identified as a nonlinear model of the camera under dynamic illumination. Then an image with a wider dynamic range is obtained online by fusing several images taken under different exposures of the same scene. The algorithm is applied to the four-legged robot soccer competition and is verified to be superior to some traditional schemes.

关键词： Lighting Cameras Layout Robot vision systems Brightness Optical imaging Dynamic range control engineering Image enhancement Face detection

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Improvement of a fixed point transformations and svd-based adaptive controller

Improvement of a fixed point transformations and svd-based a...

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9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008

作者： Tar, József K. Rudas, Imre J. Bitó, János F. Machado, José A. Tenreiro Kozlowski, Krzysztof R. Institute of Intelligent Engineering Systems Budapest Tech Bécsi út 96/B H-1034 Budapest Hungary Department of Electrotechnical Engineering Institute of Engineering of Porto Rua Dr. Antonio Bernardino de Almeida 4200-072 Porto Portugal Control and Systems Engineering Computing Science and Management Poznan University of Technology ul. Piotrowo 3a 60-965 Poznan Poland

In this paper some refinement of a novel control approach is reported that fits to the "traditional line of thinking" according to which in the most practical cases neither very precise, nor even complete system model is needed for obtaining precise control for dynamical systems. The validity of this statement is briefly pointed out in the most popular approaches as the main idea of the "Robust Sliding Mode / Variable Structure controllers", in the Adaptive Inverse Dynamics and in the Slotine-Li Adaptive controllers based on Lyapunov's 2nd Method, and in a recently published problem tackling using the simple geometric interpretation of the Singular Value Decomposition (SVD). In the present approach the originally proposed convergent, iterative Cauchy sequences are nonlinearly moderated to adaptively control a coupled nonlinear system, the cart plus double pendulum serving as popular paradigm of dynamicall not very well conditioned systems. It is shown that the proposed moderation removes the small sharp fluctuation in the control torque that inherently belonged to the original solution without significantly degrading the control quality. This statement is substantiated by simulation results.

关键词： Singular value decomposition

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A Robust Autonomic computing Architecture for Server Virtualization

A Robust Autonomic Computing Architecture for Server Virtual...

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IEEE International Conference on Intelligent engineering Systems (INES)

作者： Dan Ionescu Bogdan Solomon Marin Litoiu Mircea Mihaescu Network Computing and Control Technologies Research Laboratory School of Information Technology and Engineering University of Ottawa Canada IBM CAS Toronto Canada

The increasing heterogeneity and complexity of the Information Technology infrastructure encompassing hardware and software applications, services and networks, led to complex, unmanageable and insecure systems. Correspondingly, new approaches in regards to the IT infrastructure automation and operation have been investigated. Autonomic computing has been born and successfully launched as a research area in response to the "must have" solutions for the problems above. It approaches subjects such as self-configuration, self- protection, self-healing, and self-optimization. Its ambitious goals in making a computer environment behaving in a self controlled and intelligently guided manner, lead to various approaches such as intelligent systems, control, learning machines and others. In this paper, a special adaptive technique will be used for the implementation of self-provisioning and self- optimization techniques for autonomic computing with applications to server virtualization. The autonomic computing processes are considered as nonlinear uncertain systems with constant linearly parameterized uncertainty. The approach is motivated by the fact that a complex computer system behaves in time in a nonlinear fashion, its parameters having a stochastic variation, and components of the autonomic computing environment might fail from time to time. The architecture of an adaptive robust autonomic computing environment and its implementation specific components is described. The application domain of the autonomic computing technology has been chosen to be a virtual server environment. An application of this autonomic computing solution to server virtualization is presented at the end of this paper.

关键词： Robustness Computer architecture Platform virtualization Application software control systems Learning systems Information technology Hardware Automation Protection

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Stabilizing Interconnection Characterization for Multi-Agent Systems with Dissipative Properties

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IFAC Proceedings Volumes 2008年第2期41卷 1571-1577页

作者： Sandra Hirche Shinji Hara Institute of Automatic Control Engineering Technische Universität München D-80290 Munich GERMANY Department of Information Physics and Computing The University of Tokyo Tokyo 113-8656 JAPAN

This paper addresses the problem of stabilization and output-synchronization for a network of interconnected nonlinear agents, where each agent is assumed to be dissipative with respect to a specified quadratic supply rate which may differ among the agents. Main results concern the characterization and design of the information exchange structure for stabilization. Applying a linear protocol here, the associated interconnection matrix is characterized based on LMI's, as well as on spectral properties. Additionally a synthesis based on LMI's under structural constraints is proposed. The results are validated in simulations.

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Stabilization and control of Unstable Processes with Large Dead Time

Stabilization and Control of Unstable Processes with Large D...

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International Conference on Information Management, Innovation Management and Industrial engineering, ICIII

作者： See Chek Lee Qing-Guo Wang Wei Xing Zheng N. Sivakumaran Dept of Electrical & Computer Engineering National University of Singapore Singapore School of Computing & Mathematics University of Western Ontario Australia School of Computing & Mathematics University of Western Sydney Australia Dept of Instrumentation & Control Engineering National Institute of Technology Trichy India

ISBN: (纸本)9781424437498

A control scheme is presented to achieve stabilization, satisfactory dynamic and steady state control performance for a general unstable process with dead time, where the rational function part of the process could be of non first order and the dead time of it larger than the upper bound for stabilization by PID control. The idea is to remove the stable lag part of the process by an internal model control (IMC)-like compensation with intended preservation of internal stabilizability so that the compensated plant becomes a minimal order one with unstable poles only (the first order in most realistic cases) and its internal stabilization and effective control can be carried out much easier than that for the original process. The proposed scheme can thus overcome the limitations due to presence of stable lag terms inherent in almost any process on its stabilization and effective control.

关键词： Process control Delay Australia Three-term control Information management Innovation management Industrial engineering Mathematics Instruments control engineering

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Simple efficient techniques for creating effective 3D impressions from 2D original images

Simple efficient techniques for creating effective 3D impres...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Julian Balcerek Adam Dąbrowski Adam Konieczka Department of Computing Science and Management Chair of Control and System Engineering Division of Signal Processing and Electronic Systems Poznan University of Technology Poznan Poland

In this paper simple techniques based on nonlinear geometric transformations are presented for creating an effective 3D impression (stereovision or illusion of depth) from a single 2D original. Our aim is to propose semi-automatic ways to transform 2D images into their suggestive but plausible 3D anaglyph versions. Three conversion methods based on a binary depth map are proposed and the influence of various RGB component shifts on the 3D impression quality is studied.

关键词： Image color analysis Three dimensional displays Materials Cameras Image segmentation Convergence

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