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    Chapter and Conference Paper

    Integration of an Interactive Multimedia Datacasting System

    Hardware and software integration of a framework for interactive multimedia datacasting applications is presented in this paper. The hardware components of this framework consist of a data server, an IP encaps...

    Wei Li, Hong Liu, Gilles Gagnon in Innovations in Applied Artificial Intelligence (2004)

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    Chapter and Conference Paper

    A Systematic Search Strategy for Product Configuration

    Constraint satisfaction problem (CSP) paradigm has proven highly successful in product configuration, particularly for build-to-order products, by assigning component types to all components without violating ...

    Helen **e, Philip Henderson in Innovations in Applied Artificial Intellig… (2004)

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    Chapter and Conference Paper

    Improved GRASP with Tabu Search for Vehicle Routing with Both Time Window and Limited Number of Vehicles

    In this paper, we study a new useful extension of vehicle routing problem (VRP) – VRP with both time window and limited number of vehicles (m-VRPTW). We propose an improved Greedy Randomized Adaptive Search Pr...

    Zhiye Li, Songshan Guo, Fan Wang, Andrew Lim in Innovations in Applied Artificial Intellig… (2004)

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    Chapter and Conference Paper

    Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method

    Rough set discernibility matrix method is a valid method to attribute reduction. However, it is a NP-hard problem. Up until now, though some methods have been proposed to improve this problem, the case is not ...

    Feng Honghai, Zhao Shuo, Liu Baoyan in Advances in Applied Artificial Intelligence (2006)

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    Chapter and Conference Paper

    A Hybrid Genetic Algorithm for Solving the Length-Balanced Two Arc-Disjoint Shortest Paths Problem

    We consider a HAZMAT transportation problem, which is modeled as the length-balanced two arc-disjoint shortest paths problem (LB2SP). In LB2SP, we try to find two arc-disjoint paths on a given network. We hope...

    Yanzhi Li, Andrew Lim, Hong Ma in Advances in Applied Artificial Intelligence (2006)

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    Chapter and Conference Paper

    Reducing Transportation Costs in Distribution Networks

    In this work, we model the conflicting objectives in a distribution network, i.e. trade-offs between transportation costs, inventory and time scheduling requirements. Transportation costs include time costs, t...

    ** Li, Andrew Lim, Zhaowei Miao in Advances in Applied Artificial Intelligence (2006)

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    Chapter and Conference Paper

    New Methods for Text Categorization Based on a New Feature Selection Method and a New Similarity Measure Between Documents

    In this paper, we present a new feature selection method based on document frequencies and statistical values. We also present a new similarity measure to calculate the degree of similarity between documents. ...

    Li-Wei Lee, Shyi-Ming Chen in Advances in Applied Artificial Intelligence (2006)

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    Chapter and Conference Paper

    A New Fuzzy Interpolative Reasoning Method for Sparse Fuzzy Rule-Based Systems

    Fuzzy interpolative reasoning is an important research topic of sparse fuzzy rule-based systems. In recent years, some methods have been presented for dealing with fuzzy interpolative reasoning. However, the i...

    Li-Wei Lee, Shyi-Ming Chen in New Trends in Applied Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Design of a SOA-Oriented E-Diagnostics System for Hydroelectric Generating Sets

    In order to resolve existing problems such as low efficiency, high cost and lack of technical resource in current maintenance, it is necessary to realize remote diagnosis for hydroelectric generating sets (HGS...

    Liangliang Zhan, Yongchuan Zhang in New Trends in Applied Artificial Intellige… (2007)

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    Chapter and Conference Paper

    Construction of Prediction Module for Successful Ventilator Weaning

    Ventilator weaning is the process of discontinuing mechanical ventilation from patients with respiratory failure. Previous investigations reported that 39%-40% of the intensive care unit (ICU) patients need me...

    Jiin-Chyr Hsu, Yung-Fu Chen, Hsuan-Hung Lin in New Trends in Applied Artificial Intellige… (2007)

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    Chapter and Conference Paper

    The PICA Framework for Performance Analysis of Pattern Recognition Systems and Its Application in Broadcast News Segmentation

    In this paper, the performance influencing class analysis (PI-CA) framework is proposed for performance analysis of pattern recognition systems dealing with data with great variety and diversity. Through the P...

    **angdong Wang, Meiyin Li, Shouxun Lin in New Trends in Applied Artificial Intellige… (2007)

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    Chapter and Conference Paper

    Recommender Agent Based on Social Network

    Conventional collaborative recommendation approaches neglect weak relationships even when they provide important information. This study applies the concepts of chance discovery and small worlds to recommendat...

    Heng-Li Yang, Hsiao-Fang Yang in New Trends in Applied Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Robust Multi-scale Full-Band Image Watermarking for Copyright Protection

    With the exponential growth of digital materials in this age, the protection of Intellectual Property Right (IPR) becomes an important and urgent topic. In this paper, we propose a novel digital watermarking s...

    Jung-Chun Liu, Chu-Hsing Lin, Li-Ching Kuo in New Trends in Applied Artificial Intellige… (2007)

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    Chapter and Conference Paper

    Integrated Framework for Reverse Logistics

    Although reverse logistics has been disregarded for many years, pressures from both environmental awareness and business sustainability have risen. Reverse logistical activities include return, repair and recy...

    Heng-Li Yang, Chen-Shu Wang in New Trends in Applied Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Constraint-Based Approach for Steelmaking–Continuous Casting Rescheduling

    Steelmaking-continuous casting rescheduling problem is an NP-hard problem. In this paper, we present a constraint-based approach for steelmaking–continuous casting rescheduling problem in integrated steel prod...

    Tieke Li, Dongfen Guo in New Trends in Applied Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Design and Implementation of Interactive Design Environment of Agent System

    The agent-based systems have been designed and developed using the latest agent technologies. However, the design and the debugging of these systems contain some difficult problems due to the situational and n...

    Takahiro Uchiya, Takahide Maemura, **aolu Li in New Trends in Applied Artificial Intellige… (2007)

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    Chapter and Conference Paper

    An Efficient Coding Model for Image Representation

    The role of early sensory neurons is to remove statistical redundancy in the sensory input. In this paper, we propose a novel efficient coding model combining sparse coding strategy and selective attention str...

    Zhiqing Li, Zhi** Shi, Zhixin Li, Zhongzhi Shi in Neural Information Processing (2009)

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    Chapter and Conference Paper

    The Application of Wavelet Neural Network Optimized by Particle Swarm in Localization of Acoustic Emission Source

    When using acoustic emission(AE) to locate the rub-impact source of rotating machinery, it is difficult to achieve exact source location for the effects of strong noise and waveform distortion. A neural networ...

    Aidong Deng, Li Zhao, **n Wei in Neural Information Processing (2009)

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    Chapter and Conference Paper

    Parameter Estimation Using a SCE Strategy

    As a novel evolutionary computation technique, shuffled complex evolution (SCE) has attracted much attention and wide applications for solving complex optimization problems in different fields. This paper util...

    Pengfei Li, Hesheng Tang, Zhaoliang Wang in Neural Information Processing (2009)

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    Chapter and Conference Paper

    Speaker Recognition Based on GMM with an Embedded TDNN

    A modified GMM with an embedded TDNN is proposed to speaker recognition. The model integrates the merits of GMM and TDNN. TDNN is used to digest the time information of the feature sequences, and through the t...

    Cunbao Chen, Li Zhao in Neural Information Processing (2009)

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