检索结果-内蒙古大学图书馆

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

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

来源：评论

学校读者我要写书评

暂无评论

Wavelet Transform Use for Feature Extraction and EEG Signal Segments Classification

Wavelet Transform Use for Feature Extraction and EEG Signal ...

引用

3rd International Symposium on Communications, control, and Signal Processing (ISCCSP 2008), vol.2

作者： Ales Prochazka Jaromir Kukal Oldrich Vysata Department of Computing and Control Engineering Institute of Chemical Technology in Prague Prague Czech Republic Neurocenter Caregroup Rychnov nad Kneznou Czech Republic

Segmentation, feature extraction and classification of signal components belong to very common problems in various engineering, economical and biomedical applications. The paper is devoted to the use of discrete wavelet transform (DWT) both for signal preprocessing and signal segments feature extraction as an alternative to the commonly used discrete Fourier transform (DFT). Feature vectors belonging to separate signal segments are then classified by a competitive neural network as one of methods of cluster analysis and processing. The paper provides a comparison of classification results using different methods of feature extraction most appropriate for EEG signal components detection. Problems of multichannel segmentation are mentioned in this connection as well.

关键词： Segmentation Change-point detection Feature extraction Classification Multichannel signal processing Discrete wavelet transform Neural networks

来源：评论

学校读者我要写书评

暂无评论

Research on rough set theory and applications in China

引用

Lecture Notes in Computer Science

作者： Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, Keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

ISBN: (纸本)3540850635

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

Chaotic behavior of new experimental data of the LTGP (2004-2006) confirm possible relation to seismic activity in Western Greece

引用

Journal of Physics: Conference Series 2008年第1期96卷

作者： Giannakopoulos, K. Ifantis, A. Electronics Laboratory Department of Physics University of Patras Patras 26500 Greece Digital Systems and Media Computing Laboratory Faculty of Sciences and Technology Hellenic Open University Patras 26222 Greece Control Systems and Signals Laboratory Department of Electrical Engineering Technological Educational Institute of Patras Patras 26334 Greece Seismological Laboratory Department of Geology University of Patras Patras 26500 Greece

Observations of the long-term geoelectric potential (LTGP) difference are presented in this paper. The data have been collected during a three-year (2004-2006) investigating period. Moreover, this paper constitutes a continuation of two previously published works with eleven-year (1993-2003) experimental data. For data logging purposes, an automatic system for collection, transfer and processing of geoelectric measurements operates at the Seismological Laboratory of the University of Patras. The analysis of these data using Lyapunov exponents and Takens estimator confirm their quite chaotic behavior. The Lyapunov exponents have also been calculated for short periods of twenty days, i.e. ten days before and ten days after the earthquakes occurred during this three-year period. By thorough examination of the resulting Lyapunov spectrums, it seems that these are subject to possible changes prior to an earthquake. © 2008 IOP Publishing Ltd.

关键词：

来源：评论

学校读者我要写书评

暂无评论

engineering procedure for analysis of nonlinear structure consisting of fuzzy element and typical nonlinear element

Engineering procedure for analysis of nonlinear structure co...

引用

2007 Mediterranean Conference on control and Automation, MED

作者： Sijak, Tomislav Kuljaca, Ognjen Kuljaca, Ljubomir Brodarski Institute Control Engineering Dept. Zagreb Croatia Alcorn State University Systems Research Institute Alcorn State MS United States Faculty of El. Eng. and Computing Dept. of Control and Computer Zagreb Croatia

ISBN: (纸本)142441282X

engineering procedure for approximate analytical determination of describing function of nonlinear systems with odd static characteristics is presented in the paper. Generalized mathematical expressions for determining such describing function with error estimation are given. The procedure is illustrated on determination of describing function, and corresponding error estimation, of nonlinear structure consisting of fuzzy element and typical nonlinear element. ©2007 IEEE.

关键词： Estimation

来源：评论

学校读者我要写书评

暂无评论

Solution to the Generalized Champagne Problem on simultaneous stabilization of linear systems

引用

Science in China(Series F) 2007年第5期50卷 719-731页

作者： GUAN Qiang WANG Long XIA BiCan YANG Lu YU WenSheng ZENG ZhenBing Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Center for Systems and Control College of Engineering Peking University Beijing 100871 China LMAM and School of Mathematical Sciences Peking University Beijing 100871 China Shanghai Institute of Theoretical Computing Software Engineering Institute East China Normal University Shanghai 200062 China National Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China

The well-known Generalized Champagne Problem on simultaneous stabilization of linear systems is solved by using complex analysis and Blonders technique. We give a complete answer to the open problem proposed by Patel et al., which automatically includes the solution to the original Champagne Problem. Based on the recent development in automated inequality-type theorem proving, a new stabilizing controller design method is established. Our numerical examples significantly improve the relevant results in the literature.

关键词： linear systems stabilization simultaneous stabilization Champagne Problem Generalized Champagne Problem,complex analysis inequality-type theorem automated theorem proving

来源：评论

学校读者我要写书评

暂无评论

Multi-Dimensional Biomedical Image De-Noising using Haar Transform

Multi-Dimensional Biomedical Image De-Noising using Haar Tra...

引用

International Conference on Digital Signal Processing (DSP)

作者： Eva Hostalkova Oldrich Vysata Ales Prochazka Department of Computing and Control Engineering Institute of Chemical Technology in Prague Prague Czech Republic

Image de-noising and enhancement form two fundamental problems in many engineering and biomedical applications. The paper is devoted to the study of the multi-resolution approach to this topic employing the Haar wavelet transform and its application to processing of volumetric magnetic resonance image sets corrupted with additional noise. The resulting coefficients are thresholded and exploited for subsequent reconstruction. The Haar transform is evaluated using both the two-dimensional approach applied individually to each image layer, and the three-dimensional technique performed on the image volume as a whole. In noise reduction, the latter approach profits from similarities between the neighbouring image layers and shows a considerable improvement over the former method. Results are presented in numerical and graphical forms using three-dimensional visualization tools.

关键词： Biomedical imaging Noise reduction Image denoising Biomedical engineering Wavelet transforms Magnetic resonance Magnetic noise Image reconstruction Performance evaluation Visualization

来源：评论

学校读者我要写书评

暂无评论

engineering procedure for analysis of nonlinear structure consisting of fuzzy element and typical nonlinear element

Engineering procedure for analysis of nonlinear structure co...

引用

Mediterranean Conference on control and Automation (MED)

作者： Tomislav Sijak Ognjen Kuljaca Ljubomir Kuljaca Brodarski Institute/Control Engineering Dept Zagreb Croatia Alcorn State University/Systems Research Institute Alcorn State USA Faculty of El. Eng. and Computing/Dept. of Control and Computer Zagreb Croatia

关键词： Fuzzy control Power harmonic filters Fuzzy systems Nonlinear systems control systems Nonlinear control systems Error analysis Frequency control engineering Signal synthesis

来源：评论

学校读者我要写书评

暂无评论

NONLINEAR NETWORK STRUCTURES FOR FEEDBACK control

引用

Asian Journal of control 2008年第4期1卷

作者： F.L. Lewis Dept. of Electical Engineering The University of Texas at Arlington U.S.A. F. L. Lewis was born in Wärzburg. Germany subsequently studyning in Chile and Goruonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. navy serving as Navigator aboard the frigate USS Trippe (FF-1075) and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute. Dr. Lewis has studied the geometric analytic and structural properties of dynamical systems and feedback control automation. His current interests include robotics intelligent control neural and fuzzy systes nonlinear systems and manufacturing process control. He is the author/co-author of 2 U.S. patents 124 journal papers 20 chapters and encyclopedia articles 210 refereed conference papers seven books: Optimal Control Optimal Estimation Applied Optimal Control and Estimation Aircraft Control and Simulation Control of Robot Manipulators Neural Network Control High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. Dr. Lewis is a registered Professional Engineer in the State of Texas and was selected to the Editorial Boards of International Journal of Control Neural Computing and Applications and Int. J. Intelligent Control Systems. He is the recipient of an NSF Research Initiation Grant and has been continuously funded by NSF since 1982. Since 1991 he has received $1.8 m

A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them to be used in feedback control of unknown systems without requirements for linearity in the system parameters or finding a regression matrix. Nonlinear nets can be linear or nonlinear in the tunable weight parameters. In the latter case weight tuning algorithms are not straightforward to obtain. Feedback control topologies and weight tuning algorithms are given here that guarantee closed-loop stability and bounded weights. Extensions are discussed to force control, backstepping control, and output feedback control, where dynamic nonlinear nets are required.

关键词： Intelligent feedback control neural networks neural network structures basis function networks fuzzy control fuzzy-neural networks universal approximation adaptive nonparametric control learning control systems

来源：评论

学校读者我要写书评

暂无评论

A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

引用

Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：