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IEEE Globecom 2006

作者： Quanhong Wang Kenan Xu Glen Takahara Hossam Hassanein Department of Electrical Engineering and Computer Science Queen's University Kingston ON Canada Department of Math. & Stat. Queen's University Kingston ON Canada School of Computing Queen's University Kingston ONT Canada

Due to cost constraints and limited sensing capability of sensor nodes, it may be impossible or unrealistic for a wireless sensor network to provide full area coverage in some circumstances. In this paper, we introduce the novel concept of information-oriented sensing coverage, which measures the actual information utility obtained by a wireless sensor network. An information-oriented sensor deployment algorithm is proposed. The algorithm makes use of the fact that in many applications the importance or the information utility at different locations is non-uniform across the sensing field. The effectiveness of the proposed algorithm is studied using simulation. Being a pioneering effort in this area, our work paves a new direction of sensor deployment.

关键词： Wireless sensor networks Costs Monitoring Object detection Event detection Computer networks Quality of service Attenuation Sensor systems Security

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Preface

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Applied math.matics and Computation 2006年第2期172卷 679-681页

作者： Zhong-Zhi Bai Wai-Ki Ching Michael K. Ng State Key Laboratory of Scientific/Engineering Computing Institute of Comput. Math. and Scientific/Engrg. Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing PR China Department of Mathematics The University of Hong Kong Hong Kong China

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Meshing skin surfaces with certified topology

Meshing skin surfaces with certified topology

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IEEE International Conference on Computer-Aided Design and Computer Graphics

作者： N.G.H. Kruithofand G. Vegter Dept. of Math. & Comput. Sci. Groningen Univ. Netherlands Department of Mathematics and Computing Science University of Groningen Groningen The Netherlands

Skin surfaces are used for the modeling and visualization of molecules. They form a class of tangent continuous surfaces defined in terms of a set of balls (the atoms of the molecule) and a shrink factor. More recently, skin surfaces have been used to approximate arbitrary surfaces. We present an algorithm that approximates a skin surface with a topologically correct mesh. The complexity of the mesh is linear in the size of the Delaunay triangulation of the balls, which is worst case optimal. We also adapt two existing refinement algorithms to improve the quality of the mesh and show that the same algorithm can be used for meshing a union of balls.

关键词： Skin Topology Visualization Biological system modeling math.matics Solid modeling Biology computing Geometry Numerical simulation Joining processes

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Linear Algebra and Its Applications: Preface

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Linear Algebra and Its Applications 2005年第1-3期411卷 1-2页

作者： Barrett, Wayne Hedayat, Samad Krattenthaler, Christian Loewy, Raphael Dept. of Math. and Computer Science University of Paderborn D-33095 Paderborn Germany Dept. of Mathematics and Statistics University of Regina Regina Sask. S4S 0A2 Canada Department of Mathematics University of Connecticut Storrs CT 06269-3009 United States Dept. of Math. and Computer Science Numer. Math./Scientific Computing Free University Berlin D-14195 Berlin Arnimallee 2-6 Germany

No abstract available

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Bringing practical lock-free synchronization to 64-bit applications 04

Bringing practical lock-free synchronization to 64-bit appli...

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Proceedings of the 23rd Annual ACM Symposium on Principles of Distributed computing

作者： Doherty, Simon Luchangco, Victor Herlihy, Maurice Moir, Mark Sch. of Math. and Computing Sciences Victoria University Wellington New Zealand Sun Microsystems Laboratories 1 Network Drive Burlington MA 01803 United States Department of Computer Science Brown University Providence RI 02912 United States

ISBN: (纸本)9781581138023

Many lock-free data structures in the literature exploit techniques that are possible only because state-of-the-art 64-bit processors are still running 32-bit operating systems and applications. As software catches up to hardware, "64-bit-clean" lock-free data structures, which cannot use such techniques, are needed. We present several 64-bit-clean lock-free implementations: load-linked/store-conditional variables of arbitrary size, a FIFO queue, and a freelist. In addition to being portable to 64-bit software, our implementations also improve on previous ones in that they are space-adaptive and do not require knowledge of the number of threads that will access them.

关键词： Distributed computer systems

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A study of the difference between partial derivative and stochastic neural network sensitivity analysis for applications in supervised pattern classification problems

A study of the difference between partial derivative and sto...

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Proceedings of 2004 International Conference on Machine Learning and Cybernetics

作者： Ng, Wing W.Y. Yeung, Daniel S. Wang, Xi-Zhao Cloete, Ian Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Machine Learning Center Fac. of Math. and Computer Science Hebei University Baoding 071002 China School of Information Technology International University Bruchsal Germany

ISBN: (纸本)0780384032

This paper provides a brief development roadmap of the neural network sensitivity analysis, from 1960's to now on. The two main streams of the sensitivity measures: partial derivative and stochastic sensitivity measures are compared. The partial derivative sensitivity (PD-SM) finds the rate of change of the network output with respect to parameter changes, while the stochastic sensitivity (ST-SM) finds the magnitudes of the output perturbations between the original training samples and the perturbed samples, in statistical sense. Their computational complexities are compared. Furthermore, how to evaluate multiple parameters of the neural network with or without correlation will be explored too. In addition, the differences of them in the application of supervised pattern classification problems are also discussed. The evaluations are based on three major applications of sensitivity analysis in supervised pattern classification problems: feature selection, sample selection and neural network generalization assessment ST-SM and PD-SM of the RBFNN will be used for investigations.

关键词： Radial basis function networks

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A rough set-based CBR approach for feature and document reduction in text categorization

A rough set-based CBR approach for feature and document redu...

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Proceedings of 2004 International Conference on Machine Learning and Cybernetics

作者： Li, Yan Shiu, Simon Chi-Keung Pal, Sankar Kumar Liu, James Nga-Kwok Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong Machine Intelligence Unit Indian Statistical Institute Kolkata 700 035 India Machine Learning Center Fac. of Math. and Computer Science Hebei University Baoding 071002 China

ISBN: (纸本)0780384032

In this paper, a novel approach of rough set-based case-based reasoning (CBR) approach is proposed to tackle the task of text categorization (TC). The initial work of integrating both feature and document reduction/selection in TC using rough sets and CBR properties is presented. Rough set theory is incorporated to reduce the number of feature terms through generating reducts. On the other hand, two concepts of case coverage and case reachability in CBR are used in selecting representative documents. The main contribution of this paper is that both the number of features and the documents are reduced with minimal loss of useful information. Some experiments are conducted on the text datasets of Reuters21578. The experimental results show that, although the number of feature terms and documents are reduced greatly, the problem-solving quality in terms of classification accuracy is still preserved.

关键词： Set theory

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On the queueing behavior of multiple first-order autoregressive sources

On the queueing behavior of multiple first-order autoregress...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： Gang Uk Hwan K. Sohraby Div. of Appl. Math. Korea Adv. Inst. of Sci. & Technol. Taejeon South Korea School of Computing and Engineering Department of Computer Science and Electrical Engineering University of Missouri Kansas City Kansas City MO USA Division of Applied Mathematics Korea Advanced Institute of Science and Technology Yuseong-gu Taejeon South Korea

It is generally believed that the queueing behavior of an arrival process is most sensitive to its first and second order statistics. In this paper, we show that this is not generally true. We consider the queueing behavior of two classes of sources. The first class is the superposition of multiple discrete autoregressive sources of order 1 (referred to as DAR(1) sources), and the second class is a single DAR(1) source having the same first and second order statistics as the superposed source. In particular, we show that in the homogeneous case, the mean queue lengths of the two models are identical, but the queue length variances of the two models are significantly different depending on the correlation of individual sources.

关键词： Random variables Cities and towns Statistics math.matical model Equations math.matics Computer science Teleconferencing Traffic control Steady-state

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An fuzzy matching method of fuzzy decision trees

An fuzzy matching method of fuzzy decision trees

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2003 International Conference on Machine Learning and Cybernetics

作者： Lee, John W.T. Sun, Juan Yang, Lan-Zhen Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Machine Learning Center Fac. of Math. and Computer Science Hebei University Badoing Hebei China

ISBN: (纸本)0780378652

In this paper, we present a matching method that can improve the classification performance of a fuzzy decision tree (FDT). This method takes into consideration prediction strength of leave nodes of a fuzzy decision tree by combining true degrees (CF) of fuzzy rules, generated from a fuzzy decision tree, with membership degrees of antecedent parts of rules when applied to cases for classification. We illustrate the importance of CF through an example. An experiment shows by using this method, we can obtain more accurate results of classification when compared to the original method and to those obtained using the C5.0 decision tree.

关键词： Fuzzy sets

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Image extraction in DCT domain

Image extraction in DCT domain

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作者： Feng, G.C. Jiang, J. Department of Electronic Imaging School of Informatics University of Bradford Bradford BD7 1DP United Kingdom Fac. of Math. and Computing Science Zhongshan University Guangzhou China

More and more digital images are being stored in compressed formats, among which the format using discrete cosine transform (DCT) coefficients is widely adopted (JPEG, MPEG, H.263 etc). To exploit those successful image processing techniques developed in the pixel domain, the authors propose a fast image extraction algorithm to allow images to be extracted directly from compressed DCT coefficients without full decompression. In the proposed technique the extracted images retain quality comparable with that of fully decoded images. However, the computing cost and the storage expense incurred by the proposed algorithm are very much lower than the costs of full decompression. The experiments also demonstrate that the proposed algorithm has tremendous potential in that all existing image processing techniques developed in the pixel domain can be directly applied to compressed images, without involving full decompression.

关键词： Image compression

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