Supporting the WWW in Wireless Communications Through Mobile Agents

Mobile computing is considered of major importance to the computing industry for the forthcoming years due to the progress in wireless mobile communications. We present a proxy-based architecture that manages to accelerate Web browsing in wireless Customer Premises Networks (CPN). We discuss how such an architecture is implemented using the IBM Aglets framework for mobile agents. The suggested architecture relies heavily on proxy caches – maintained in base stations – which are relocated to follow a roaming user in other control areas (clusters of cells). The cache management scheme involves relocation of full caches to the most-likely-to-be visited control areas, but also fractions of the cache to less-likely-to-be-visited neighbours. A movement prediction algorithm, based on a learning automaton, is used to determine the future location of the terminal. The discussed architecture components have been implemented as Aglets to allow for the efficient introduction of the service in a CPN infrastructure.     

电气设备主动保护与控制概念及功能架构

高压大容量长距离输电、恶劣气象环境与交直流故障耦合传播、大量电力电子装备的应用等因素给电力系统保护及安全控制带来了新的挑战。文中分析了设备故障原因、类型以及后果差异特征,提出构建电气设备主动保护与控制(简称PPC)技术体系。引入输变电设备安全域、动态安全裕度、设备安全耐受时间作为描述设备安全的主要特征量;提出了以设备安全域及安全参量预测为核心的主动保护与控制功能架构;分析了主动保护与控制技术涉及的主要技术方向,论述了电气设备主动保护与控制技术的可行性,给出了研究展望。     

前摄性车辆路径问题及其遗传算法求解

通过对现有文献中需求信息不确定的动态车辆路径问题，在不确定需求预测和求解算法的基础上，建立了多维数据层客户需求预测方法和前摄性实时控制方法，讨论了潜在客户的响应准则。以总运输成本最小为目标，构建了引入前摄性实时控制方法求解动态车辆路径问题的数学模型，改进了遗传算法对该模型进行求解。应用京东在重庆地区的客户点的配送数据及两阶段综合前摄性调整策略，验证了设计算法的性能，实验结果表明设计的模型及算法可以对客户需求进行更及时有效的响应。     

Agent-Based Simulation of Animal Behaviour

In the biological literature on animal behaviour, in addition to real experiments and field studies, also simulation experiments are a useful source of progress. Often specific mathematical modelling techniques are adopted and directly implemented in a programming language. Modelling more complex agent behaviours is less adequate using the usually adopted mathematical modelling techniques. The literature on AI and Agent Technology offers more specific methods to design and implement (also more complex) intelligent agents and agent societies on a conceptual level. One of these methods is the compositional multi-agent system design method DESIRE. In this paper it is shown how (depending on the complexity of the required behaviour) a simulation model for animal behaviour can be designed at a conceptual level in an agent-based manner. Different models are shown for different types of behaviour, varying from purely reactive behaviour to pro-active, social and adaptive behaviour. The compositional design method for multi-agent systems DESIRE and its software environment supports the conceptual and detailed design, and execution of these models. A number of experiments reported in the literature on animal behaviour have been simulated for different agent models.     

智慧主动型交通控制系统及实验

限于交通信息采集内容及方式、控制实现手段和优化模型性能等因素,传统交通控制系统难以满足实际的交通控制需求。大数据和车联网及车路协同系统等技术的发展,为提升交通控制系统的控制基础与条件、系统适应能力和响应能力创造了前所未有的条件。本文首先分析了信息、数据和计算技术等变革对交通系统运行环境、交通控制对象特征和通信与实现手段的影响;进而面向多模式交通流,提出了以更安全、更快速、更绿色、更人性化等为基本特征的下一代智慧主动型交通控制系统及其逻辑架构与物理架构。系统原型测试表明,快速发展的信息通信等技术及基于此的下一代交通控制系统具有出色的潜在性能和广阔的前景。     

MPLS网络下基于兄弟节点备份的聚合多播故障恢复方案

提出一种基于兄弟节点备份的MPLS聚合多播故障恢复方案SBAMM,一方面,能够以快而准的方式绕过单链路和单节点故障,另一方面扩大了保护范围;最后优化了保护树的开销。另外,由于该方案是基于MPLS网络提出的,此方案也具有MPLS所具有的优点。结果分析表明,此方案具有更好的保护率、减低多播分发树的开销等优势。     

A Movie Recommendation System – An Application of Voting Theory in User Modeling

Our research agenda focuses on building software agents that can employ user modeling techniques to facilitate information access and management tasks. Personal assistant agents embody a clearly beneficial application of intelligent agent technology. A particular kind of assistant agents, recommender systems, can be used to recommend items of interest to users. To be successful, such systems should be able to model and reason with user preferences for items in the application domain. Our primary concern is to develop a reasoning procedure that can meaningfully and systematically tradeoff between user preferences. We have adapted mechanisms from voting theory that have desirable guarantees regarding the recommendations generated from stored preferences. To demonstrate the applicability of our technique, we have developed a movie recommender system that caters to the interests of users. We present issues and initial results based on experimental data of our research that employs voting theory for user modeling, focusing on issues that are especially important in the context of user modeling. We provide multiple query modalities by which the user can pose unconstrained, constrained, or instance-based queries. Our interactive agent learns a user model by gaining feedback aboutits recommended movies from the user. We also provide pro-active information gathering to make user interaction more rewarding. In the paper, we outline the current status of our implementation with particular emphasis on the mechanisms used to provide robust and effective recommendations.     

基于边缘AI的配网非定点作业现场实时智能安全监护成套装置研制

为满足带电作业、高处作业等配电网复杂作业场景的安全监护要求，解决配网非定点作业人工监护效率低、现场终端能力单一协同不足、通信安全较难保障等实际问题，文章提出了一种具有强边缘智能、主动监护、精准定位与辨识、多层通讯安全防护等特点的智能安全监护成套装置。首先，该装置基于自研物联网模组搭配可扩展高性能边缘计算模组，实现了视频监控设备的主动控制、作业人员活动的跟踪监测、监控视频的实时就地智能分析与违规行为预警。其次，装置通过配套定位设备，实现了作业地点和作业范围的动态划定以及作业人员的精准定位。最后，装置以硬件加密为基础，实现了可信通讯设备的自组网络和通讯内容的多层加密。实验结果表明，该装置在典型场景下的平均检测精度可以达到90%以上，可以极大提高配网户外非定点作业场景下的安全监护效率，提升作业现场安全的实时监管能力。