An architecture to support scalable distributed virtual environment systems on grid

A Distributed Virtual Environment (DVE) system offers a computer-generated virtual world in which individuals located at different places in the physical world can interact with one another. In order to achieve real-time response for a large user base, DVE systems need to have a scalable architecture. In this paper, we present the design of a grid-enabled service oriented framework for facilitating the construction of scalable DVE systems on computing grids. A service component called “gamelet” is proposed, whose distinctive mark is its high mobility for supporting dynamic load sharing. We propose a gamelet migration protocol which can ensure the transparency and efficiency of gamelet migration, and an adaptive gamelet load-balancing (AGLB) algorithm for making gamelet redistribution decisions at runtime. The algorithm considers both the synchronization costs of the DVE system and network latencies inherent in the grid nodes. The activities of the users and the heterogeneity of grid resources are also considered in order to carry out load sharing more effectively. We evaluate the performance of the proposed mechanisms through a multiplayer online game prototype implemented using the Globus toolkit. The results show that our approach can achieve faster response times and higher throughputs than some existing approaches. This research is supported in part by the China National Grid project (863 program) and the HKU Foundation Seed Grant 28506002.     

网格资源管理系统模型研究

网格资源管理系统是网格计算系统的重要组成部分。文章分析了网格资源管理系统的功能需求，具体论述了该模型的原型系统，最后介绍了相关研究工作。     

线性调频的脉冲压缩雷达视频信号仿真

利用数字方法实现线性调频的脉冲压缩雷达视频目标模拟信号具有诸多优点：信号模拟的精度高，灵活性好，幅度、相位补偿方便，可以模拟复杂情况，系统结构简单，可靠性高，可扩展性强。详细介绍了基于FPGA设计线性调频的脉冲压缩雷达视频目标模拟信号的原理、结构、具体实现以及简要的性能分析。结果表明该方案性能良好，具有现实可实现性。     

可编程模拟器件与技术新进展

简述可编程模拟器件的基本原理、典型应用和开发方法,介绍并比较主要的模拟可编程实现技术与主流器件系列,指出现存的主要问题并展望其未来发展方向.     

Design and Implementation of a Flexible Manufacturing Control System Using Neural Network

Design and implementation of a sequential controller based on the concept of artificial neural networks for a flexible manufacturing system are presented. The recurrent neural network (RNN) type is used for such a purpose. Contrary to the programmable controller, an RNN-based sequential controller is based on a definite mathematical model rather than depending on experience and trial and error techniques. The proposed controller is also more flexible because it is not limited by the restrictions of the finite state automata theory. Adequate guidelines of how to construct an RNN-based sequential controller are presented. These guidelines are applied to different case studies. The proposed controller is tested by simulations and real-time experiments. These tests prove the successfulness of the proposed controller performances. Theoretical as well as experimental results are presented and discussed indicating that the proposed design procedure using Elman's RNN can be effective in designing a sequential controller for event-based type manufacturing systems. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.     

DILIGENT: integrating digital library and Grid technologies for a new Earth observation research infrastructure

This paper introduces DILIGENT, a digital library infrastructure built by integrating digital library and Grid technologies and resources. This infrastructure allows different communities to dynamically build specialised digital libraries capable to support the entire e-Science knowledge production and consumption life-cycle by using shared computing, storage, content, and application resources. The paper presents some of the main software services that implement the DILIGENT system. Moreover, it exemplifies the provided features by presenting how the DILIGENT infrastructure is being exploited in supporting the activity of user communities working in the Earth Science Environmental sector. This work is partially funded by the European Commission in the context of the DILIGENT project, under the 2nd call of FP6 IST priority.     

A neural network model for fault detection in conjunction with a programmable logic controller

This paper discusses the feasibility of using neural networks as a tool in the fault detection process. A neural network is integrated with a state language programmable logic controller, an important device in an automatic control system. Time series data related to time spent in a state is gathered and used as input into a neural network, for the purpose of identifying when a fault has occurred. A feedforward neural network is used to identify which (if any) of three types of faults may have occurred. Experimental results related to sensitivity and accuracy measures are presented. A brief review of related applications and research is also presented.     

网格技术综述

网格技术被认为是互联网技术发展的下一次浪潮，目前对网格的研究已经成为信息领域的热点。本文首先介绍了网格的产生背景，接着阐述了网格的概念和目的，然后分析了网格的系统构成，最后展望了网格技术的应用前景。     

水轮机调速器现代调节技术及选型

对目前比较先进的微机调速器的两种系统结构进行了分析，并对微机调节的控制策略和调节参数的设置及系统配置等作了介绍，并提出了对凋速器技术性能的评价标准和调速器选型时的突出问题，可为实际应用提供参考。     

钢管内外表面喷砂除锈半自动生产线设计

介绍了钢管内外表面喷砂除锈生产线的主要设备、工艺流程及主要参数,电气系统总体方案设计和程序设计。用可编程序控制器控制钢管内表面喷砂除锈作业线,提高了自动化程度,操作方便,运行可靠,并给出了自动控制程序顺序功能图。本生产作业线实现了钢管内外表面的半自动喷砂处理,提高了产品质量,改善了工作环境。