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2010 International Conference on Biomedical Engineering and Computer Science

Date 23-25 April 2010

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Displaying Results 1 - 25 of 241
  • [Title page]

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  • Welcome message

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  • Organizing Committee

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  • Table of contents

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  • Author index

    Publication Year: 2010, Page(s):i - v
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  • Robust Exponential Stability for Time-Delays Neural Networks with Discontinuous Activation Functions

    Publication Year: 2010, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    In this paper, we considers the global robust exponential stability of uncertain neural networks with discontinuous activation functions and time-varying delays. Based on the Lyapunov-Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays using the linear matrix inequalities (LMIs). Thus, our results are ... View full abstract»

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  • Corrosion Character Extract Algorithm Based on Correlation Dimension of Fractal

    Publication Year: 2010, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (843 KB)

    For the defects testing of civil aviation aircraft maintenance, an extraction algorithm of corrosion feature based on fractional dimension of fractal is proposed. Firstly, the ration denotation method of corrosion phenomena in fractal dimension is studied, and then distance vectors between the boundary and the centroid are ascertained by fractal feature of corrosion region's contour and the vector... View full abstract»

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  • Sub-Pixel Coded Structured Light Stripe Boundary Location Using Weighted Centroid Method

    Publication Year: 2010, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (383 KB) | HTML iconHTML

    Accurate stripe boundary location is crucial for stripe coded structured light based 3D reconstruction. Intersecting point method might be the most accurate for stripe boundary location. But this method requires project a group of normal and a group of inverse patterns, and thus can not be used in some time- or resource-constrained applications. In this paper, we propose an improved sub-pixel loca... View full abstract»

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  • The SURE Approach to SAR Image Denoising Based on Multiscale Bandelet Contextual Model

    Publication Year: 2010, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (429 KB) | HTML iconHTML

    In this paper, a new denoising method is presented for Synthetic Aperture Radar (SAR) image, based on Stein's unbiased risk estimate (SURE) and on multiscale orthogonal bandelet domain. Unlike most existing denoising algorithms, A key point of our approach is that, using contextual model to compute contextual values of bandelet coefficients and then computing SURE thresholding according to these v... View full abstract»

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  • Automatic Gait Recognition Using Kernel Principal Component Analysis

    Publication Year: 2010, Page(s):1 - 4
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    Gait is one of the biometric technologies which can be identified as an individual by his/her walking style. This paper proposes an effective gait recognition method based on mean gait energy image(MGEI) which utilizes kernel principal component analysis(KPCA). KPCA is capable of capturing part of the high-order statistics which are particularly important for MGEI structure. MGEI is calculated fro... View full abstract»

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  • Optimal Design of the TET System for Achieving Maximum Power Transfer

    Publication Year: 2010, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (327 KB) | HTML iconHTML

    Transcutaneous energy transfer (TET) systems have been a topic of intense research. Such systems play an important role in offering the opportunity to provide power to implantable biomedical devices through wireless power transmission. It eliminates the serious infection risk associated with direct cable connections through the skin. Research to optimize power transfer capability to a biomedical i... View full abstract»

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  • A Fast Greedy Sparse Approximation for Image Based on Indexed Dictionary

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (886 KB) | HTML iconHTML

    Orthogonal Matching Pursuit (OMP) is an effective solution to sparse approximation based on redundant dictionary, but its greed nature requires that the algorithm traverse all the atoms in a redundant dictionary every time, which can consume much CPU time. The structure of a dictionary is of paramount importance for MP performance. Different from parametric or structured dictionary, the characteri... View full abstract»

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  • Traveling Waves of a Class of Simplified Background Neural Networks

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (234 KB) | HTML iconHTML

    Salinas proposed a class of background neural networks to analyze how the background controls the stability of the state. However, due to the complex network equation, some properties of the original network are difficult to be analyzed. Inspired by Oja's seminal work, in this paper, we propose a class of simplified background neural networks model with arbitrary exponents by using Taylor's theore... View full abstract»

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  • Discrete-Time Recurrent Neural Networks for Medical Image Segmentation Based on Competitive Layer Model with LT Neurons

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    This paper discusses a class of Discrete-Time Recurrent Neural Networks with LT neurons based on Competitive Layer Model (CLM-DT-LT-RNNs). It first addresses the boundedness and complete stability of the networks, then a theorem is given to let the networks have CLM phenomena. Such networks are applied to medical image segmentation by using the global gray-level information and the contextual info... View full abstract»

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  • A Biologically Motivated Corner Detection Method Based on the Oriented Receptive Fields of Simple Cortical Cells

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (682 KB) | HTML iconHTML

    Corner detection is an important early vision problem. In early vision processing of the mammalian visual system, the oriented tuned, contrast-driven cells in the visual cortex have the problems of positional and orientational uncertainty. That means the oriented receptive fields (RFs) of simple cells can not detect the orientational information of the line ends and corners efficiently. In this pa... View full abstract»

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  • Lung Lobe Segmentation Based on HRCT Data

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (306 KB) | HTML iconHTML

    Nowadays, the lung lobe segmentation is the most basic step in Lung CAD (Computer-aided diagnosis) and is playing an increasingly important role in the early diagnosis of lung diseases and the analysis of pulmonary functions. The key to achieving lung lobe segmentation is to detect and locate lung fissures. With the wide applications of HRCT (High-Resolution Computed Tomography), CT data with high... View full abstract»

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  • Vigilance Analysis Based on Continuous Wavelet Transform of EEG Signals

    Publication Year: 2010, Page(s):1 - 4
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB) | HTML iconHTML

    Electroencephalography (EEG) is considered a reliable indicator of a person's vigilance level. In this paper, we use EEG recordings to discriminate three vigilance states of a person, namely alert, drowsy, and sleep, while driving a car in a simula-tion environment. The proposed framework explores the use of continuous wavelet transform in EEG signal processing. A large set of features is extracte... View full abstract»

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  • Large Crowd Dynamics: A Novel Crowd Simulator Using Potential Fields

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (446 KB) | HTML iconHTML

    Crowd simulator is extensively studied in bioinformatics, computer graphics etc.. A novel real-time crowd simulator based on potential fields under complex environment has been proposed in this paper, which makes use of static local potential field, dynamic local potential field, local collision avoidance potential field and global potential field to deal with collision avoidance, dynamic interact... View full abstract»

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  • Improving Bug Assignment with Bug Tossing Graphs and Bug Similarities

    Publication Year: 2010, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1514 KB) | HTML iconHTML

    In open-source software development the bug report is usually assigned to a developer for bug fixing. A large number of bug reports are tossed (reassigned) to other developers, for example because the bugs have been assigned by mistake. The tossing events increase bug-fix time. In order to quickly identify the fixer to bug reports we present an approach based on the bug tossing history and textual... View full abstract»

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  • Resolving Occlusion in Augmented Reality Based on Invariant for Two Views

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (523 KB) | HTML iconHTML

    A new approach to resolving occlusion problem in augmented reality is presented. An invariant for two views is firstly formulated. Based on the Scale Invariant Feature Transform (SIFT) algorithm developed by David Lowe and Random Sample Consensus (RANSAC) algorithm, the point correspondences in any two views are determined. Further, each contour is labeled as being "behind" or "in front of" in the... View full abstract»

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  • Computational Prediction of Aging Genes in Human

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (415 KB) | HTML iconHTML

    Aging is a complex process associated with a number of molecular events at multidimensional levels. Understanding the characteristics of aging is important for elaborating the molecular mechanism of many diseases such as Alzheimer. In this paper, we systematically analyzed topological features of proteins encoded by human aging genes versus those encoded by non-aging genes in protein-protein inter... View full abstract»

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  • An Improved Algorithm to Generate High Quality Progressive Animation Models

    Publication Year: 2010, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1585 KB) | HTML iconHTML

    In computer graphics, investigation has been made in many years in progressive models generation to alleviate the workload of visualization processing. However, most of the existing algorithms only focus on static meshes, and very little works are to deal with animation models. In this paper, we propose an improved method for generating progressive multiresolution animation models. By the method w... View full abstract»

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