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  1. No Access

    Chapter and Conference Paper

    Providing services in a World of IBC Resources: An architectural approach

    Recent evolution in the Telecommunications World call for system environments enabling services to be deployed and provided as distributed applications; such services are to reuse and combine other already dep...

    Didoe Prevedourou, Ingmar Tönnby… in Towards a Pan-European Telecommunication S… (1994)

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    Article

    Optimal solutions for a dynamic bandwidth allocation scheme in high-speed networks

    In this paper, we investigate the problem of determining the optimal bandwidth allocation for a Dynamic Bandwidth Allocation Scheme (DBAS). The objective is to minimize the total amount of bandwidth required t...

    Tao Yang, Jun Yei in Telecommunication Systems (1996)

  3. No Access

    Chapter and Conference Paper

    Checking hybrid automata for linear duration invariants

    In this paper, we consider the problem of checking hybrid systems modelled by hybrid automata for a class of real-time properties represented by linear duration invariants, which are constructed from linear inequ...

    Li Xuandong, Dang Van Hung, Zheng Tao in Advances in Computing Science — ASIAN'97 (1997)

  4. No Access

    Chapter and Conference Paper

    The Incompressibility Method

    Kolmogorov complexity is a modern notion of randomness dealing with the quantity of information in individual objects; that is, pointwise randomness rather than average randomness as produced by a random sourc...

    Tao Jiang, Ming Li, Paul Vitányi in SOFSEM 2000: Theory and Practice of Informatics (2000)

  5. No Access

    Chapter and Conference Paper

    Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks

    In this paper, we have studied the global stability of the equilibrium of Hopfield neural networks with discrete delays. Criteria for global stability are derived by means of Lyapunov functionals and the estim...

    Xueming Li, **aofeng Liao, Tao **ang in Advances in Neural Networks – ISNN 2004 (2004)

  6. No Access

    Chapter and Conference Paper

    A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process

    In order to estimate the bath endpoint phosphorus [P] content and manganese [Mn] content for Basic Oxygen Furnace (BOF) steelmaking process, three BOF endpoint estimation models are given according to the fast...

    **n Wang, Shaoyuan Li, Zhongjie Wang, Jun Tao… in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    Constructing Support Vector Classifiers with Unlabeled Data

    In this paper, a new method is presented to improve the speed and accuracy of SVMs with unlabeled data respectively: one method is to build SVMs with grid points which can be expected to speed SVMs in test pha...

    Tao Wu, Han-Qing Zhao in Advances in Neural Networks – ISNN 2004 (2004)

  8. No Access

    Chapter and Conference Paper

    Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station

    Abstract. During space walks, the space suits of astronauts may be contaminated by toxic vapors such as hydrazine, which are used for attitude control. Here we present some initial results on vapor classificat...

    Tao Qian, Roger Xu, Chiman Kwan, Bruce Linnell… in Advances in Neural Networks – ISNN 2004 (2004)

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    Chapter and Conference Paper

    Space-Time Multiuser Detection Combined with Adaptive Wavelet Networks over Multipath Channels

    The capacity and performance of code division multiple access (CDMA) systems are limited by multiple access interference (MAI) and ”near-far” problem. Space-time multiuer detection combined with adaptive wavel...

    Ling Wang, Licheng Jiao, Haihong Tao, Fang Liu in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems

    With dynamics property and highly parallel mechanism, recurrent neural networks (RNN) can effectively implement blind adaptive multiuser detection at the circuit time constant level. In this paper, the RNN bas...

    Ling Wang, Haihong Tao, Licheng Jiao, Fang Liu in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    Nonlinear Dynamic Method to Suppress Reverberation Based on RBF Neural Networks

    On condition that the noise, such as the reverberation, could be modeled as a dynamical model with lower dimensions, it would be picked out from its mixture with a useful signal by using the nonlinear dynamic ...

    Bing Deng, Ran Tao in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation

    The blind source separation algorithm always does its best to retrieve source signals, so in fact the output is generally a stronger source added by some other weaker sources and noises. The algorithm proposed...

    **efeng Cheng, Ju Liu, Jian** Qiao, Yewei Tao in Advances in Neural Networks – ISNN 2004 (2004)

  13. No Access

    Chapter and Conference Paper

    SVM Based Lateral Control for Autonomous Vehicle

    SVMs have been very successful in pattern recognition and function approximation problems. In this paper, by collecting the human driving data, a data-driven lateral controller for autonomous vehicle based on ...

    Hanqing Zhao, Tao Wu, Daxue Liu, Yang Chen… in Advances in Neural Networks – ISNN 2005 (2005)

  14. No Access

    Chapter and Conference Paper

    A Novel Approach to Corona Monitoring

    Corona discharge (CD) and partial discharge (PD) indicate early stages of insulation problems in motors. Early detection of CD/PD will enable better coordination and planning of resources such as maintenance p...

    Chiman Kwan, Tao Qian, Zhubing Ren, Hongda Chen… in Advances in Neural Networks – ISNN 2005 (2005)

  15. No Access

    Chapter and Conference Paper

    Active Network Approach for Web Caching

    Web caching is an effective way to save network bandwidth and promote network performance. In traditional network, strong consistency and collaboration mechanism establishment are two major problems. AWC (Acti...

    Zhigang Liao, Zengzhi Li, Tao Zhan, Yan Chen in Advances in Web Intelligence (2005)

  16. No Access

    Chapter and Conference Paper

    An Improved Optimal Pairwise Coupling Classifier

    The Optimal Pairwise Coupling (O-PWC) classifier was proposed and used for data classification because of its excellent classification performance [1]. A key step in the O-PWC algorithm is to calculate a numbe...

    Roger Xu, Tao Qian, Chiman Kwan in Advances in Neural Networks – ISNN 2005 (2005)

  17. No Access

    Chapter and Conference Paper

    Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis

    Locally spatiotemporal salience is defined as the combination of the local contrast salience from multiple paralleling independent spatiotemporal feature channels. The computational model proposed in this pape...

    Tao Jiang, **ngzhou Jiang in Advances in Neural Networks – ISNN 2005 (2005)

  18. No Access

    Chapter and Conference Paper

    Parallel Learning of Bayesian Networks Based on Ordering of Sets

    In this paper, we firstly formulate the concept of “ordering of sets” to represent the relationships between classes of variables. And then a parallel algorithm with little inter-processors communication is pr...

    Tao Du, S. S. Zhang, Zongjiang Wang in Advances in Computer Science – ASIAN 2005.… (2005)

  19. No Access

    Chapter and Conference Paper

    Global Attractivity of Cohen-Grossberg Model with Delays

    In this paper, we have studied the global attractivity of the equilibrium of Cohen-Grossgerg model with both finite and infinite delays. Criteria for global attractivity are also derived by means of Lyapunov f...

    Tao **ang, **aofeng Liao, Jian Huang in Advances in Neural Networks – ISNN 2005 (2005)

  20. No Access

    Chapter and Conference Paper

    Feature Selection and Classification of Gear Faults Using SOM

    Feature selection is a key issue to machine fault diagnosis. This paper presents a study that uses self-organizing maps to realize feature selection and reduce dimensionality of the raw feature space for machi...

    Guanglan Liao, Tielin Shi, Weihua Li, Tao Huang in Advances in Neural Networks – ISNN 2005 (2005)

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