基于多Agent的宏观经济智能预测决策支持系统研究

在分析智能决策支持系统的发展基础上，将人工智能思想，特别是Agent应用于构建智能宏观经济预测决策支持系统。提出面向任务的Agent设计思想，以任务为核心设计多种类型Agent共同完成预测决策任务，给出基于多Agent的系统组成结构，并给出系统中不同类型Agent的具体实现结构，同时探讨了整个系统的运行机制以及系统中多Agent之间的合作。整个系统的构建过程也是面向Agent的程序设计的过程。     

佛山市城市公共交通发展策略

通过对佛山市公共交通客流和公共交通设施现状的调查，掌握了居民出行规律和客运交通特征指标．采用定性和定量相结合的方法，综合评价了公共交通现状的水平．在分析佛山市未来社会经济、城市发展基本特征的基础上，根据客流分布特点、发展态势及客流交通的生成变化特征，采用经验加模型系统方法，科学地预测发展需求．结合佛山市的实际，分析了公共交通的优劣势，确定了优先发展公共交通的方针与目标．对公共交通政策进行了研究，并提出确保实施公共交通目标的对策和措施     

An interpolation approximation for the GI/G/1 queue based on multipoint Padé approximation

The performance evaluation of many complex manufacturing, communication and computer systems has been made possible by modeling them as queueing systems. Many approximations used in queueing theory have been drawn from the behavior of queues in light and heavy traffic conditions. In this paper, we propose a new approximation technique, which combines the light and heavy traffic characteristics. This interpolation approximation is based on the theory of multipoint Padé approximation which is applied at two points: light and heavy traffic. We show how this can be applied for estimating the waiting time moments of the ^GI/G/1 queue. The light traffic derivatives of any order can be evaluated using the MacLaurin series analysis procedure. The heavy traffic limits of the ^GI/G/1 queue are well known in the literature. Our technique generalizes the previously developed interpolation approximations and can be used to approximate any order of the waiting time moments. Through numerical examples, we show that the moments of the steady state waiting time can be estimated with extremely high accuracy under all ranges of traffic intensities using low orders of the approximant. We also present a framework for the development of simple analytical approximation formulas. This revised version was published online in June 2006 with corrections to the Cover Date.     

Pricing and distributed QoS control for elastic network traffic

We study a processor-sharing model in which users choose between a high- and a low-priority service, based on their utility functions and prices charged by the service provider. The latter aims at revenue maximization. The model is motivated by file transmissions in data networks with distributed congestion control.     

交通繁忙地段T梁采用横移落梁架设施工技术

介绍了在交通繁忙的狭窄地带T梁架设采用横移落梁的施工方法、有关注意事项及在设计上采取的相应措施。     

中国日本国公路交通安全生产法规比较

建立与国际接轨的公路交通法规和克服不良驾驶习惯，已成为当前公路交通安全生产的重要课题。分析了中国、日本国交通法规中安全相关条文的差异。借鉴日本国公路交通法规的有益经验，着重分析我国公路交通安全方面存在的问题，寻找科学的解决方法，以求建立符合国际潮流的公路交通法规。指出：需重新修订我国交通管理法规中安全生产条文使之与国际接轨、将管理区域内的交通安全状况纳入责任考核。     

嵌入式系统在机器人控制中的应用

简要介绍嵌入式系统的概念，技术特点及分类。着重阐述嵌入式开发在机器人控制中的应用。     

The Intelligent Properties of Micro－reactors for Preparating Nanoparticles

TiO2 nanoparticles were synthesized by using micro-reactors. The shape and size of the nanoparticles produced from the original micro-reactors and the five times recycled micro-reactorsmother liquor were investigated on transmission electron microscopy (TEM) by using the original sample, freeze prepared sample, and dyeing treated sample, respectively. UV-VIS spectrometry was used to study the growth process of TiO2 nanoparticles in main reactors. The results showed that micro-reactors with nanometer magnitude had spherical or oval structures, and could restore to their original structure after they were destroyed. The products prepared in the original micro-reactors were similar to that in the micro-reactors recycled for many times, suggesting that the micro-reactors had memory function.     

泵闸混凝土施工期智能温控关键信息识别

为实现施工期大体积混凝土温控要素的智能快速识别,提高智能温控系统的反馈及预测模型精度,提出了一套智能算法对物联网技术采集到的各类温控要素原始测值进行识别及转化。针对浇筑温度、浇筑时间、最高温度、内外温差、冷却通水起止时间与表面保温覆盖等施工期关键温控参数,结合工程经验分别给出相应识别任务的判定逻辑并编写对应程序,然后应用多个实际工程数据进行验证,并分析各识别功能的准确率。验证结果表明,本文算法识别效果良好,能够实现温控要素采集的自动化、智能化、快速化、精准化,具有较强的工程实用价值。     

应用禁忌粒子群算法的车间调度及其并行化实现

为了解决批量生产、制造、装配等车间调度问题,基于Hadoop集群,提出应用禁忌粒子群算法的车间调度及其并行化实现.以某装载机制造车间最小化完成时间为目标,通过使用禁忌粒子群算法对车间调度问题进行求解.结果表明：在车间批量大的情况下,禁忌粒子群算法可得出有效的调度方案,避免算法陷入局部最优解.与现有的智能算法相比,禁忌粒子群算法更有利于实现全局最优解.