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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Elpiniki Papageorgiou Chrysostomos Stylios Peter Groumpos Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece Intelligent Computing Laboratory Department of Informatics and Telecommunications Technology TEI Epirus Greece

Medical problems involve different types of variables and data, which have to be processed, analyzed and synthesized in order to reach a decision and/or conclude to a diagnosis. Usually, information and data set are both symbolic and numeric but most of the well-known data analysis methods deal with only one kind of data. Even when fuzzy approaches are considered, which are not depended on the scales of variables, usually only numeric data is considered. The medical decision support methods usually are accessed in only one type of available data. Thus, sophisticated methods have been proposed such as integrated hybrid learning approaches to process symbolic and numeric data for the decision support tasks. Fuzzy cognitive maps (FCM) is an efficient modelling method, which is based on human knowledge and experience and it can handle with uncertainty and it is constructed by extracted knowledge in the form of fuzzy rules. The FCM model can be enhanced if a fuzzy rule base (IF-THEN rules) is available. This rule base could be derived by a number of machine learning and knowledge extraction methods. Here it is introduced a hybrid attempt to handle situations with different types of available medical and /or clinical data and with difficulty to handle them for decision support tasks using soft computing techniques.

关键词： Decision making Fuzzy cognitive maps Medical diagnostic imaging Data mining Decision support systems Learning systems Computational intelligence computer networks Diseases Spatial databases

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A Hierarchical Clustering Based on Mutual Information Maximization

A Hierarchical Clustering Based on Mutual Information Maximi...

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IEEE International Conference on Image Processing

作者： M. Aghagolzadeh H. Soltanian-Zadeh B. Araabi A. Aghagolzadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

Mutual information has been used in many clustering algorithms for measuring general dependencies between random data variables, but its difficulties in computing for small size datasets has limited its efficiency for clustering in many applications. A novel clustering method is proposed which estimates mutual information based on information potential computed pair-wise between data points and without any prior assumptions about cluster density function. The proposed algorithm increases the mutual information in each step in an agglomerative hierarchy scheme. We have shown experimentally that maximizing mutual information between data points and their class labels will lead to an efficient clustering. Experiments done on a variety of artificial and real datasets show the superiority of this algorithm, besides its low computational complexity, in comparison to other information based clustering methods and also some ordinary clustering algorithms.

关键词： Mutual information Clustering algorithms Clustering methods Data mining Data structures Density functional theory Computational complexity Entropy Higher order statistics Probability density function

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

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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

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Quantum Robots for Teenagers

Quantum Robots for Teenagers

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International Symposium on Multiple-Valued Logic

作者： Arushi Raghuvanshi Yale Fan Michal Woyke Marek Perkowski Valley Catholic Middle School Beaverton OR USA The Catlin Gabel School Portland OR USA Warsaw Poland Intelligent Robotics Laboratory Department of Electrical and Computer Engineering Portland State University Portland OR USA

Extending the ideas of quantum Braitenberg vehicles from (A. Raghuvanshi, 2006), we present here a family of Lego robots controlled by multiple-valued quantum circuits. The robots have at most 6 degrees of freedom (motors) and 6 sensors. Their basic architecture is a generalization of robots from (Ch. Brawn et al, 2006) to more versatile multiple-valued quantum automata (simulated in software). We believe that building robots with "quantum brains" is an excellent future application of quantum computing and now it helps students to learn principles of quantum circuits. We present a one-year project in "quantum robotics for teenagers". Our project brings research and educational perspectives, which are both presented in this paper.

关键词： Robot sensing systems robotics and automation Quantum computing Circuits Vehicles Automatic control Robot control computer architecture Learning automata Brain modeling

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AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS

AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...

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IEEE International Symposium on Biomedical Imaging

作者： Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424406715;1424406714

Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize highly cellular regions of tumors versus acellular regions, distinguishing cystic regions from solid regions. An automatic segmentation method is proposed in this paper based on a multi-phase clustering algorithm to segment the brain tumors in a feature space extracted from DTI images. The algorithm is applied on images of a total of 20 patients with 4 different types of tumors. The tumor region segmentation was 92% accurate based on the segmentation results using anatomical images and 100% accurate based on biopsy results. In general, the segmentation results obtained by the proposed method revealed a strong agreement with the biopsy results and anatomical images, providing support for the accuracy and robustness of the proposed feature space and the segmentation procedure.

关键词： Neoplasms Image segmentation Diffusion tensor imaging Clustering algorithms Biopsy Permeability measurement Volume measurement Size measurement Biomembranes Magnetic resonance imaging

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NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL IMAGE SEGMENTATION

NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL IMAG...

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IEEE International Symposium on Biomedical Imaging

作者： Alireza Akhoundi-Asl Hamid Soltanian-Zadeh School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

ISBN: (纸本)9781424406715;1424406714

We propose a 3D nonparametric, entropy-based, coupled, multishape approach for the segmentation of subcortical brain structures in magnetic resonance images (MRI). Our method uses PCA to capture structures variability. Because of complex relationships of pose and shape of the coupled structures, we only use their shape and size relation. To this end, we apply separate registrations of the structures. For each structure, we consider a similarity transform using seven parameters. In addition, to generate most accurate results, we estimate probability density functions (pdf) iteratively. The proposed method minimizes an entropy-based energy function using quasi-Newton algorithm. To improve the results, we use analytical derivatives. Sample results are given for the segmentation of putamen, thalamus and caudate illustrating the impact of coupling on the accuracy of the results.

关键词： Biomedical imaging Image segmentation Shape Couplings Brain Magnetic resonance Magnetic resonance imaging Principal component analysis Probability density function Iterative algorithms

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Mobile scanning system for the fast digitization of existing roadways and structures

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Sensor Review 2006年第4期26卷 283-289页

作者： Grinstead, Brad Sukumar, Sreenivas Page, David Koschan, Andreas Gorsich, David Abidi, Mongi A. Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN United States US Army RDECOM Tank-Automotive Research Development and Engineering Center Warren MI United States

Purpose - To present a Mobile Scanning system for digitizing three-dimensional (3D) models of real-world terrain. Design/methodology/approach - A combination of sensors (video, laser range, positioning, orientation) is placed on a mobile platform, which moves past the scene to be digitized. Data fusion from the sensors is performed to construct an accurate 3D model of the target environment. Findings - The developed system can acquire accurate models of real-world environments in real time, at resolutions suitable for a variety of tasks. Originality/value - Treating the individual subsystems of the mobile scanning system independently yields a robust system that can be easily reconfigured on the fly for a variety of scanning scenarios. © Emerald Group Publishing Limited.

关键词： Analog to digital conversion

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Design and control of a four steered wheeled mobile robot

Design and control of a four steered wheeled mobile robot

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IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

作者： Lauria, Michel Nadeau, Isabelle Lepage, Pierre Morin, Yan Giguère, Patrick Gagnon, Fréderic Létourneau, Dominic Michaud, François Department of Electrical Engineering and Computer Engineering Research Laboratory on Mobile Robotics and Intelligent Systems Université de Sherbrooke Sherbrooke QC J1K 2R1 Canada

ISBN: (纸本)1424401364

This paper presents the kinematical analysis of AZIMUT-2, a four steered wheeled mobile robot. The utilization of a new wheel concept called the AZIMUT wheel allowed us to create an innovative omnidirectional non-holonomic robot. Novelty of this wheel concept resides in the non-conventional positioning of the steering axis and the wheel axis. We propose a kinematical model based on the geometrical constraints of these wheels. The degree of mobility, steerability and maneuverability are studied. Additionally, we describe a special design implementation of the wheel mechanism to overcome a hypermotorization issue inherent to the wheel's geometrical properties. Finally, we describe AZIMUT-2's two operational and seven locomotion modes, along with a control algorithm based on the kinematical model of the robot. © 2006 IEEE.

关键词： Wheels

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Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO

Optimal Design of SVC Damping Controllers with Wide Area Mea...

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International Joint Conference on Neural Networks (IJCNN)

作者： T.K. Das S.R. Jetti G.K. Venayagamoorthy Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri USA

Static var compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines. In this paper, two SVC damping controllers with single and dual inputs respectively are designed based on wide area measurements of generator speed deviations. A small population based particle swarm optimization algorithm (SPPSO) is applied to determine the optimal parameters of the damping controllers for small and large disturbances. Simulation results are provided to show that the effectiveness of the optimal damping controllers on the Kundur's two-area benchmark power system. Results show the dual input controller further improves the damping provided by the single input controller.

关键词： Static VAr compensators Damping Optimal control Wide area measurements Power system simulation Voltage control Power system transients Stability Power transmission lines Particle swarm optimization

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Introduction of mission unit on information collection by on-rubble mobile platforms of development of rescue robot systems (DDT) project in Japan

Introduction of mission unit on information collection by on...

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2006 SICE-ICASE International Joint Conference

作者： Matsuno, Fumitoshi Hirose, Shigeo Akiyama, Iwaki Inoh, Takao Guarnieri, Michele Shiroma, Naoji Kamegawa, Tetsushi Qhno, Kazunori Sato, Noritaka Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Mechanical and Aerospace Engineering Tokyo Institute of Technology Tokyo Japan Department of Electrical and Electronic Engineering Shonan Institute of Technology Japan Kawasaki Laboratory International Rescue System Institute Kawasaki Japan Department of Intelligent Systems Engineering Ibaraki University Hitachi Japan Department of System Engineering Okayama University Qkayama Japan Department of Bioengineering and Robotics Tohoku University Sendai Japan

ISBN: (纸本)8995003855

intelligent rescue systems with high information and robot technology have been expected to mitigate disaster damages, especially in Japan after the 1995 Hanshin-Awaji Earthquake. In development of robots for search and rescue tasks it is important to develop a robot which can actually work in a real disaster ate. Several robots were used for the search and detection operation in the collapsed World Trade Center building in September 2001. From 2002 "Special Project for Earthquake Disaster Mitigation in Urban Areas" (5 yeras project) launched by Ministry of Education, Culture, Sports, Science and Technology, Japan. It aims at significant mitigation the earthquake disaster damage on the scale of the Great Hanshin Earthquake, in densely populated areas in big city regions such as Tokyo metropolitan area and Keihanshin area. In this paper, we introduce the activities of the mission unit on the information collection by on-rubble mobile platforms. © 2006 ICASE.

关键词： Project management

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