基于多Agent的教务管理系统建模与分析

本文介绍一种教务管理系统的体系结构.在此系统的设计过程中,应用了基于多Agent的软件工程建模方法.根据系统需求分析,辨识各Agent的角色和责任.应用统一建模语言(UML)的静态视图,分析得出表示Agent之间的关联关系的静态模型.通过分析系统工作流程,得出Agent之间的相互作用的动态模型.     

基于移动Agent的网络化远程监控系统设计

本文将移动Agent技术应用到数字化制造系统的远程监控中,实现了同时对多台数控机床的远程监控.给出了基于移动Agent的网络化控制系统模型,对系统的体系结构、工作机制进行了详细的分析,并讨论和阐述了系统中关键技术的实现过程.为大范围的协作生产过程的远程监控的实时和可靠提供了新的途径.     

一种基于多Agent远程分布式故障诊断系统模型

简要介绍了Agent与多Agent的相关知识,并以军用通信系统为例,分析了远程分布式故障诊断的系统结构,并提出了一种基于多Agent远程分布式故障诊断模型,对其系统工作流程进行了简要介绍。     

基于移动Agent的远程教育系统的实现

本文介绍了一个基于移动Agent的智能性、个性化的远程教育系统的设计与实现。在设计中引入了移动Agent协作信息中间件(MACISM)，并给出了实现MACISM系统的具体思路和解决方案；在此基础上设计了远程学习系统，较好地解决了交互协作的远程学习和远程协作学习中的智能性、个性化等问题。     

移动Agent技术在远程考试系统中的应用

对网络远程考试系统进行分析研究，首先讨论了客户／服务器模式的设计解决方案，然后在此基础上研究讨论了基于移动Agent模型的系统设计方案，最后详细讨论了用移动Agent技术设计该系统的优点和工作流程。     

基于OPC监控系统的短消息服务网关的研究与开发

在分析短消息服务和监控系统集成方法的基础上，提出了一种基于OPC监控系统的短消息网关。该网关通过短消息读写OPC服务器数据，并采用基于Agent的中间件技术进行SOAP和SMS协议之间的转换，实现了工业现场的远程移动监控，为控制网络和移动网络的一体化应用建立了统一平台。     

基于多Agent系统的远程故障诊断系统模型

随着信息技术的发展，远程故障诊断系统的研究及应用正在世界范围内兴起。该文提出了一个基于多Agent系统的远程故障诊断系统模型，定义了层次划分、各层的结构以及功能，并简单介绍了Agent间的通信与协作机制。     

基于家庭的远程健康监护系统进展

该文介绍了基于家庭的远程健康监护系统的概念、历史、及现状。从早期的传统社区报警系统开始逐渐融入了远程医疗的概念,形成了融合生理参数监测的社区报警系统;为实现家居环境下监护长期性、连续性,不断吸收先进传感器、网络、信息技术的最新研究成果,出现基于家庭的智能健康监护系统的研究。同时提出在具体实施时,客户端配备适当设备,减轻护理压力;基于HealthLevel7标准实现系统和现有以医院为核心的健康服务体系整合;系统软件设计不依赖于具体硬件的运行框架,具备有良好的伸缩性。     

一个基于移动Agent的远程练习系统的设计

文章对远程练习系统进行研究，首先讨论了基于C／S模式的设计方案，然后提出了基于移动Agent的系统设计方案，并讨论了系统的工作流程和实现机制。     

移动健康监护系统

本文提出一种基于3G网络实时、多参数的移动健康监护系统,该系统能测量多种人体生理参数,包括ECG、HR、PPG、SPO2和BP等。系统包括多功能人体生理数据采集端、手机终端和远程数据分析平台。生理数据采集端采集人体的生理数据并通过蓝牙将数据上传到手机;手机对数据进行实时的分析处理和展现,包括各种数据的预处理和算法计算;最后手机将经过预处理的生理数据通过3G移动网络上传到远程数据分析平台。该系统可使手机成为个人健康管理助手,可以满足人们了解自身健康状况的需求;同时也可以辅助医护人员的监护工作,有效的降低监护工作的工作量。     

Cell Migration Analysis After In Vitro Wounding Injury with a Multi-Agent Approach

This paper presents a multiagent system for studying in vitro cell motion. A typical application on the wound closure process is presented to illustrate the possibilities of the system, where different image sequences will be treated. The motion issue involves three aspects: image segmentation, object tracking and motion analysis. The current system version focuses mainly on the image segmentation aspect. A general agent model has been designed, which will be further expanded to include tracking and motion analysis behaviors as well. The agents integrate three basic behaviors: perception, interaction and reproduction. The perception evaluates pixels upon static and motion-based criteria. The interaction behavior allows two agents to merge or to negotiate parts of regions. The negotiation can be seen as a segmentation refinement process done by the agents. Finally, the reproduction behavior defines an exploration strategy of the images. Agents can start other agents around them, or they can duplicate themselves in the next frame. The frames are processed in pipeline, where previous information is used to treat the current frame. One unique agent model exist. Agents are specialized on execution time according to their goals. The results, coming from an existing prototype, show different types of cell behavior during cell migration, based on cell nuclei analysis.     

双目标推动下群体行为的元胞自动机模拟

采用元胞自动机对自推动粒子改进模型进行模拟,在此基础上分别探讨无目标与双目标群体行为的演化特征。无目标条件下群体行为的元胞模拟结果显示低密度环境下大部分个体处于动态均衡,高密度环境下大部分个体处于静态均衡,中等密度下两种均衡均存在。基于双目标吸引力的群体行为模拟结果显示当智能体的理性程度较低时系统演化能够产生一定的集聚效应,处于吸引源以外的智能体与吸引源保持一定距离并呈湍流式运动,而当智能体具备小概率全局理性判断能力时,群体行为的演化结果为大部分智能体都聚集在吸引源附近。     

A multi-agent based approach to dynamic scheduling with flexible processing capabilities

A multi-agent based system is proposed to simultaneous scheduling of flexible machine groups and material handling system working under a manufacturing dynamic environment. The proposed model is designed by means of \(\hbox {Prometheus}^{\mathrm{TM}}\) methodology and programmed in \(\hbox {JACK}^{\mathrm{TM}}\) agent based systems development environment. Each agent in the model is autonomous and has an ability to cooperate and negotiate with the other agents in the system. Due to these abilities of agents, the structure of the system is more suitable to handle dynamic events. The proposed dynamic scheduling system is tested on several test problems the literature and the results are quite satisfactory because it generates effective schedules for both dynamic cases in the real time and static problem sets. Although the model is designed as an online method and has a dynamic structure, obtained schedule performance parameters are very close to those obtained from offline optimization based algorithms.     

一种新的基于Agent的入侵检测系统模型

在CIDF(Common Intrusion Detection Franlework，通用入侵检测框架)的基础上，引入了Agent技术，提出了一种新的基于Agent的入侵检测系统模型。该模型通过静态智能Agent和移动Agent技术实现了分布式的基于主机和基于网络相结合的入侵检测，在技术上采用模式匹配和协议分析，并且采用了PGP技术和数字签名方案进一步实现了入侵检测系统自身的安全性。     

Target containment control of multi-agent systems with random switching interconnection topologies

In this paper, the distributed containment control is considered for a second-order multi-agent system guided by multiple leaders with random switching topologies. The multi-leader control problem is investigated via a combination of convex analysis and stochastic process. The interaction topology between agents is described by a continuous-time irreducible Markov chain. A necessary and sufficient condition is obtained to make all the mobile agents almost surely asymptotically converge to the static convex leader set. Moreover, conditions on the tracking estimation are provided for the convex target set determined by moving multiple leaders.     

面向Agent的分析与建模

传统分析方法注重目标软件系统的功能,分析的结果是一个完全,一致和无二义的软件需求规范。     

回转窑烧成系统故障诊断方法研究

针对水泥烧成系统过程变量繁多、变量间静态关系耦合强等特点,采用因子分析方法建立静态过程监控模型.针对系统时序相关问题,结合经典动态主元分析DPCA方法和典型变量分析CVA方法,提出典型变量动态主元分析CVDPCA过程监控方法,有效解决了DPCA方法扩展后的数据矩阵维度大等不足之处.将算法用于水泥烧成系统故障检测,结果表...     

Active control of adaptive optics system in a large segmented mirror telescope

For a large adaptive optics system such as a large segmented mirror telescope (SMT), it is often difficult, although not impossible, to directly apply common multi-input multi-output (MIMO) controller design methods due to the computational burden imposed by the large dimension of the system model. In this article, a practical controller design method is proposed which significantly reduces the system dimension for a system where the dimension required to represent the dynamics of the plant is much smaller than the dimension of the full plant model. The proposed method decouples the dynamic and static parts of the plant model by a modal decomposition technique to separately design a controller for each part. Two controllers are then combined using the so-called sensitivity decoupling method so that the resulting feedback loop becomes the superposition of the two individual feedback loops of the dynamic and static parts. A MIMO controller was designed by the proposed method using the H _∞ loop-shaping technique for an SMT model to be compared with other controllers proposed in the literature. Frequency-domain analysis and time-domain simulation results show the superior performance of the proposed controller.     

基于Wiener结构的软测量模型及辨识算法

Wiener模型结构能有效地表征系统的动态和静态特性, 因此这里首先基于这一结构建立软测量模型, 利用动态与静态子模型分别建立辅助变量与主导变量间的动态与静态关系, 并说明该软测量模型的可行性, 给出模型具体表达式. 其次, 针对所提模型, 提出分步辨识方式获得最优模型参数, 说明其可行性. 再次, 为了减少计算和实现模型在线更新, 这里提出参数辨识递推算法, 并给出软测量模型参数的收敛性结论. 通过实例仿真, 可以看出本文提出模型的可行性, 以及分步辨识方式与递推算法的有效性.