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    Chapter and Conference Paper

    A Novel Parallel Hardware Methodology for Solving Linear System of Equations

    In this paper, we proposed a parallel hardware methodology employing the modified Gaussian elimination algorithm to efficiently solve linear system of equations (LSEs). Two parallel operators are issued in the...

    Bowei Zhang, Guochang Gu, Lin Sun in 2012 International Conference on Informati… (2013)

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    Article

    Multi-resolution motion estimation and compensation based on adjacent prediction of frame difference in wavelet domain

    Aiming at the higher bit-rate occupation of motion vector encoding and more time load of full-searching strategies, a multi-resolution motion estimation and compensation algorithm based on adjacent prediction ...

    Guowei Tang, Guochang Gu in Journal of Electronics (China) (2009)

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    Article

    Efficient and configurable transmission protocol based on UDP in grid computing

    At present, mainstream data transfer protocols are not always a good match for the diverse demands of grid computing. Considering this situation, this article proposes an efficient and configurable data transf...

    Jigang Wang, Guochang Gu, Chunguang Ma in Frontiers of Electrical and Electronic Eng… (2009)

  4. Chapter and Conference Paper

    Analysis of Local Route Maintenance for Ad Hoc Network

    In ad hoc network, most link ailure recoveries can be localized to a small region along the previous route. However, the theory is not proved by mathematic analysis and simulations. In this paper, we analyze i...

    Shaobin Cai, Nianmin Yao, Wenbin Yao, Yong Li in Computational Science – ICCS 2007 (2007)

  5. Chapter and Conference Paper

    Multi-robot Cooperation Based on Hierarchical Reinforcement Learning

    Multi-agent reinforcement learning for multi-robot systems is a challenging issue in both robotics and artificial intelligence. But multi-agent reinforcement learning is bedeviled by the curse of dimensionalit...

    **aobei Cheng, **g Shen, Haibo Liu, Guochang Gu in Computational Science – ICCS 2007 (2007)

  6. Chapter and Conference Paper

    Group-Based Key Management for Multicast of Ad Hoc Sensor Network

    In order to protect communication security among sensor nodes, a cryptographic method are needed by ad hoc sensor networks. According to that most ad hoc sensor networks are deployed in groups, a group-based m...

    Shaobin Cai, Wenbin Yao, Nianmin Yao, Yong Li in Computational Science – ICCS 2007 (2007)

  7. Chapter and Conference Paper

    An Algorithm for Improving Hilbert-Huang Transform

    The Hilbert-Huang transform is viewed as a promising method to process the nonlinear and non-stationary signal. However, it hasn’t been a general method in signal processing due to its some deficiencies. In th...

    Song Guo, Guochang Gu, Changyou Li in Computational Science – ICCS 2007 (2007)

  8. Chapter and Conference Paper

    Water Mine Model Recognition by Immune Neural Network

    An immune neural network (INN) is proposed for water mine model recognition. The INN is a two-layer Boolean network whose number of outputs is adaptive according to the task and the affinity threshold. The pre...

    Haibo Liu, **g Shen, Guochang Gu in Computational Science – ICCS 2007 (2007)

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    Chapter and Conference Paper

    A New Method for the Design of Stateless Transitive Signature Schemes

    Transitive signature is a new and useful cryptology tool for information security, Internet security, and e-commercial security. Most of the current transitive signature schemes are stateful, which increases t...

    Chunguang Ma, Peng Wu, Guochang Gu in Advanced Web and Network Technologies, and… (2006)

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    Chapter and Conference Paper

    An Adaptive Fault Tolerance Scheme for Applications on Real-Time Embedded System

    An adaptive fault tolerance scheme aiming at those real-time embedded systems that have single processor and limited resources is presented in this paper. As the fault behavior exhibited by system changes with...

    Hongzhou Chen, Guochang Gu, Yizun Guo in Embedded Software and Systems (2005)

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    Chapter and Conference Paper

    Pareto-Q Learning Algorithm for Cooperative Agents in General-Sum Games

    Rationality and convergence are two important criterions for multi-agent learning. A novel method called Pareto-Q learning is prompted for cooperative general-sum games, with the Pareto Optimum allowing ration...

    Mei** Song, Guochang Gu, Guoyin Zhang in Multi-Agent Systems and Applications IV (2005)

  12. Chapter and Conference Paper

    Fuzzy Neuro-BDI

    The typical BDI (Belief-Desire-Intention) model of agent is not efficiently computable and the strict logic expression is not easily applicable to the domain with uncertainties. In this paper, a fuzzy neuro-BD...

    Haibo Liu, Guochang Gu, **g Shen in Artificial Intelligence Applications and Innovations (2005)