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2007 International Joint Conference on Neural Networks, IJCNN 2007

作者： Furao, Shen Sakurai, Keisuke Kamiya, Youki Hasegawa, Osamu State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Japan Society for the Promotion of Science Department of Computer Intelligence and System Science Tokyo Institute of Technology Imaging Science and Engineering Laboratory Tokyo Institute of Technology

ISBN: (纸本)142441380X

An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or number of classes;it can automatically learn number of nodes and teacher vectors needed by the current task;It can realize online incremental learning even life-long learning. The experiments for artificial data and real world data show that the proposed method works efficiently. ©2007 IEEE.

关键词： Teaching

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A preliminary study of medical image distributed intelligent access integrated with electronic medical records system for brain degenerative disease

A preliminary study of medical image distributed intelligent...

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HEALTHCOM 2007: Ubiquitous Health in Aging Societies - 2007 9th International Conference on e-Health Networking, Application and Services

作者： Su, Mei-Ju Chen, Heng-Shuen Yang, Chung-Yi Chen, Sao-Jie Lee, Wen-Jeng Cheng, Po-Hsun Yip, Ping-Kung Liu, Hon-Mon Lai, Fei-Pei Racoceanu, Daniel Graduate Institute of Electronics Engineering College of Electrical Engineering and Computer Science National Taiwan University Department of Medical Informatics College of Medicine National Taiwan University Department of Family Medicine National Taiwan University Hospital Department of Medical Imaging National Taiwan University Hospital Information System Office National Taiwan University Hospital Department of Neurology National Taiwan University Hospital Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science National Taiwan University IPAL Institute for Infocomm Research National Taiwan University Taipei Taiwan

ISBN: (纸本)142440942X

As the computer data storage capacity increases and technology of digital imaging progresses rapidly, today we can access and manipulate huge image database on the Internet. How to search and access intelligently on content based image database become an important focus in the field of multimedia research. In this study, a preliminary system of grid-distributed, contextual and semantic based, intelligent information access framework for medical images database was designed to integrate with radiology reports and clinical department information. A prototyping was established with a model of intelligent diagnostic and therapeutic decision support for brain degenerative diseases among radiologist and neurologist. Dementia was the first disease selected for implementation. In the future, the system will extend its spectrum of diseases and more clinical specialties. © 2007 IEEE.

关键词： Medical imaging

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IEEE radio communications - Components, systems, and networks

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IEEE COMMUNICATIONS MAGAZINE 2007年第9期45卷 38-38页

作者： Evans, Joseph Zvonar, Zoran Department of Electrical Engineering and Computer Science Research Information Technology University of Kansas Lawrence KS United States Division of Computer and Network Systems Department for Computer and Information Science and Engineering National Science Foundation United States Systems Engineering Group RF and Wireless System Business Unit Analog Devices

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Introducing computer science with project Hoshimi

Introducing computer science with project Hoshimi

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WikiSym'07, ISMM'07, HPC-GECO/CompFrame'07, DLS'07 - 22nd ACM SIGPLAN Conference on Object-Oriented Programming systems and Applications Companion, OOPSLA'07

作者： Pérez, Ramiro A. Berrelleza Sánchez, Javier González Chávez Echeagaray, Maria Elena B.S. Computer System Engineering Tecnológico De Monterrey Campus Guadalajara Zapopan Jalisco Mexico Computer Science Department Tecnológico de Monterrey Campus Guadalajara Zapopan Jalisco Mexico

ISBN: (纸本)9781595938657

Introductory programming course have two very specific difficulties for novice students. First is the lack of real world examples in the sessions. It is very difficult to find areas of application where all the students are familiar enough and that offers challenging and engaging examples. Second it is the lack of palpable results of the job done. Introductory courses in other fields generate products that the students can show to others, and feel proud about it. In CS1, for example, explaining loops by printing a series of numbers on the screen doesn't yield the same sense of accomplishment as drawing a basic perspective in an architecture course. We propose using Project Hoshimi [1], a Microsoft Platform, as a base for introducing computer programming to CS1 students. Through the paper we discuss how it could be implemented in the classroom, the main advantages and disadvantages in our experience of using Project Hoshimi, comparing its use against other more traditional approaches, as well as against other graphic programming methods such as Alice or videogame based learning.

关键词： Object oriented programming

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Smooth surface constructions via a higher-order level-set method

Smooth surface constructions via a higher-order level-set me...

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2007 10th IEEE International Conference on computer Aided Design and computer Graphics, CAD/Graphics 2007

作者： Bajaj, Chandrajit L. Xu, Guoliang Zhang, Qin Department of Computer Science Institute for Computational Engineering and Sciences University of Texas Austin TX 78712 United States Institute of Computational Mathematics Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9781424415793

We present a general framework for a higher-order spline level-set (HLS) method and apply this to smooth surface constructions. Starting from a first order energy functional, we obtain a general level set formulation of geometric partial differential equation, and provide an efficient approach to solve this partial differential equation using a C2 spline basis. We also present a fast cubic spline interpolation algorithm based on convolution and the Z-transform, which exploits the local relationship of interpolatory cubic spline coefficients with respect to given function data values. We provide two demonstrative smooth surface construction examples of our HLS method. The first is the construction of a smooth surface model (an implicit solvation interface) of bio-molecules in solvent, given their individual atomic coordinates and solvated radii. The second is the smooth surface reconstruction from a cloud of points generated from a 3D surface scanner. © 2007 IEEE.

关键词： Partial differential equations

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Map-based Adaptive Positioning in Wireless Sensor Networks

Map-based Adaptive Positioning in Wireless Sensor Networks

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International Symposium on Wireless Pervasive Computing (ISWPC)

作者： Ahmed A. Ahmed Hongchi Shi Yi Shang Department of Computer & System Engineering Faculty of Engineering Zagazig University Zagazig Egypt Department of Computer Science University of Missouri Columbia Columbia MO USA

Frequent localization in sensor networks may be needed due to the dynamically changing topology and the possible mobility of sensor nodes. We present a distributed adaptive localization method that we refer to as: map-based adaptive positioning (MAP). The main idea is to construct a relative local map at every node in the network, consisting of the node itself and its immediate neighbors, and merge the local maps together to form a global map. We consider two algorithms that can be used to estimate the relative local maps: multidimensional scaling (MDS) and semidefinite programming (SDP). The performance of these algorithms depend on two parameters: size of a local map, i.e., number of nodes, and the average connectivity of the node at the center of the local map and its 1-hop neighbors. We use machine learning to adaptively select the appropriate algorithm to estimate the relative local maps. Simulation results show that MAP outperforms both MDS and SDP, with better improvement for networks with less uniform node deployment.

关键词： Wireless sensor networks Multidimensional systems Network topology Sensor systems Machine learning algorithms computer networks systems engineering and theory computer science Machine learning Instruments

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Design and Analysis of Swing-up Control for a 3-Link Gymnastic Robot with Passive First Joint

Design and Analysis of Swing-up Control for a 3-Link Gymnast...

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Proceedings of the 46th IEEE Conference on Decision and Control, Pages 1383-1838

作者： Xin Xin Masahiro Kaneda Department of Communication Engineering Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama Japan

ISBN: (纸本)9781424414970;1424414970

This paper concerns a swing-up control problem for a 3-link gymnastic planar robot in a vertical plane, whose first joint is passive (unactuated) and the rest are active (actuated). The objectives of this paper are: 1) to design a controller under which the robot can be brought into any arbitrarily small neighborhood of the upright equilibrium point, where all three links of the robot remain in their upright positions;2) to attain a global analysis of the motion of the robot under the controller. To tailor the energy based control approach to achieve the above objectives, first, this paper considers the links 2 and 3 as a virtually composite link and proposes a coordinate transformation of the angles of active joints. Second, this paper constructs a novel Lyapunov function based on the transformation, and devises an energy based swing-up controller. This paper presents a necessary and sufficient condition for nonexistence of any singular points in the controller for the robot starting from any initial state. Third, this paper carries out a global analysis of the motion of the robot under the controller, and establishes some conditions on control parameters for achieving the swing-up control objective. To validate the theoretical results obtained, this paper provides simulation results for a 3-link robot whose mechanical parameters are obtained from a human gymnast.

关键词： Robot Swing-up control Controllers Coordinate transformations wobbling Gymnastic robot control parameter equilibrium point Liapunov function paper Joints robot controller

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An Evaluation of Traceability Approaches to Support Software Evolution

An Evaluation of Traceability Approaches to Support Software...

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International Conference on Software engineering Advances (ICSEA)

作者： Siti Rochimah Wan M. N. Wan Kadir Abdul H. Abdullah Software Engineering Department Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia

Requirements traceability is becoming increasingly significant element in software engineering. It provides critical function in the development and maintenance of a software system. From the software evolution point of view, requirements traceability plays an important role in facilitating software evolution. Since the evolution is inevitable, a traceability approach must take as much as possible the important influencing aspects into account to the evolution processes in order to minimize the evolution efforts. This paper evaluates several recent traceability approaches published in literature with the focus on their contributions to software evolution. The evaluation results may be used as a basis for improving requirements traceability approaches that may simplify the software evolution tasks.

关键词： Software engineering Software systems Information retrieval Indexing Algorithm design and analysis computer science Information systems Software maintenance Resumes Software algorithms

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An adaptive anisotropie diffusion filter for noise reduction in MR images

An adaptive anisotropie diffusion filter for noise reduction...

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2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

作者： Jinshan, Tang Qingling, Sun Jun, Liu Yongyan, Cao Department of Advanced Technologies System Research Institute Alcorn State University Alcorn State MS 39096 United States College of Computer Science and Technology Wuhan University of Science and Tecnology Wuhan Hubei 430081 China College of Information Science and Engineering Wuhan University of Science and Tecnology Wuhan Hubei 430081 China

ISBN: (纸本)1424408288

Noise reduction is an important image processing method which has wide applications in different fields. The key to noise reduction is to reduce the noise without deteriorating the important features in the images. Anisotropic diffusion filter is one of the methods which satisfy this need and draws much attention from researchers in the past. However, traditional anisotropic diffusion filter has many disadvantages, such as the sensitivity to the noise. In this paper, an improved anisotropic diffusion filter for preprocessing noised MR images is presented. The improved anisotropic diffusion filter uses adaptive threshold selection and a new gradient computation method, which is robust to noise. The proposed method was applied to real MR images and the results are impressive. © 2007 IEEE.

关键词： Magnetic resonance imaging

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Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM

Analysis of Particle Methods for Simultaneous Robot Localiza...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Ruben Martinez-Cantin Nando de Freitas Jose A. Castellanos Departament of Computer Science and System Engineering University of Zaragoza Zaragoza Spain Department of Computer Science University of British Columbia Vancouver BC Canada

This paper presents a new particle method, with stochastic parameter estimation, to solve the SLAM problem. The underlying algorithm is rooted on a solid probabilistic foundation and is guaranteed to converge asymptotically, unlike many existing popular approaches. Moreover, it is efficient in storage and computation. The new algorithm carries out filtering only in the marginal filtering space, thereby allowing for the recursive computation of low variance estimates of the map. The paper provides mathematical arguments and empirical evidence to substantiate the fact that the new method represents an improvement over the existing particle filtering approaches for SLAM, which work on the joint path state space.

关键词： Algorithm design and analysis Robot localization Simultaneous localization and mapping Filtering Filters Uncertainty computer science Monte Carlo methods Maximum likelihood estimation Robotics and automation

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