基于社会上下文认知的机会路由算法

无线智能设备的普遍使用促进了机会网络的发展.这类网络处于间歇性连接状态,以自组织方式转发数据.路由协议设计时考虑节点携带者的社会特征和日常行为能够提高机会网络的性能.提出了一种基于社会上下文认知的机会路由算法SCOR,该算法利用网络中的社会上下文信息,通过BP神经网络模型预测节点的移动行为.路由决策过程充分考虑移动节点活动的时间和空间属性,当接收节点与发送节点同时处于网络中的同一连通域时,数据转发采用同步方式,否则采用异步方式.仿真分析和实验结果表明,与其它经典算法相比,SCOR算法提高了数据成功转发的比率,减少了网络的开销.     

基于情景感知和规则导向的业务过程自适应

为了完成动态多变环境下业务过程的自适应调整和过程间的动态装配,提出一种基于情景信息和面向规则的业务过程适变方法.该方法采用规则映射服务与事件或情景信息的关联关系,基于服务系统可以根据当前上下文触发规则动态规划出满足业务目标的活动序列.该方法提出的动态规划算法解决了ABC供暖公司暖气报修项目中业务过程的动态装配问题,还提供了求解运行时过程实例自适应问题的一般性解决方案.另外,为支持对所生成活动序列的偏好选择和人工干预,设计了过程评估策略,实现了用户对过程的个性化选择和调整.仿真实验表明,该方法能有效并以较高效率求解动态环境下业务过程的自适应问题.     

Comprehensively Context-Aware Approach to Guaranteeing Multimedia Conferencing Services

Service-Oriented Communication （SOC） is a key research issue to enable media communications using the Service-Oriented Architecture （SOA）. Motivated by the neces- sity to guarantee the service quality of our web- based multimedia conferencing system, we pr- esent a Comprehensively Context-Aware （CoCA） approach in this paper. One major problem in the existing end-to-end Quality of Service （QoS） management solutions is that they analyse and exploit the relationships between the QoS me- trics and corresponding contexts in an isolated manner. In this paper, we propose a novel app- roach to leveraging such relationships in a comprehensive manner based on Bayesian net- works and the fuzzy set theory. This approach includes three phases： 1） information feedback and training, 2） QoS-to-context mapping, and 3） optimal context adaption. We implement the proposed CoCA in the real multimedia con- ferencing system and compare its performance with the existing bandwidth aware and play- back buffer aware schemes. Experimental re- sults show that the proposed CoCA outper- forms the competing approaches in improving the average video Peak Signal-to-Noise Ratio （PSNR）. It also exhibits good performance in preventing the playback buffer starvation.     

复杂上下文感知的组合服务选择框架

泛在网络环境中,组合服务选择不仅需要考虑服务上下文还需要考虑用户上下文,而描述上下文属性的数据类型可能有实数、区间数、三角模糊数和直觉模糊集。为解决这种基于复杂上下文的组合服务选择难题,本文提出一个复杂上下文感知的组合服务选择框架,能够感知服务上下文和用户上下文。该框架基于智能主体设计,其中用户端框架完成用户上下文管理,服务端框架完成服务上下文管理和组合服务选择。通过相关工作的比较,验证了该框架的优越性和有效性。     

上下文感知旅游推荐系统研究综述

随着人们生活水平的提高，旅游已成为一项普遍的休闲活动，进而推动了旅游推荐方面技术的研究。与传统推荐系统相比，除了考虑游客和旅游产品的相关特征之外，旅游推荐系统的推荐质量在很大程度上受到位置、时间、天气、游客社交群体等上下文信息的影响。本文首先给出上下文感知旅游推荐系统的总体框架；然后对位置、时间、游客社会化网络和多维上下文等4类典型的上下文信息在旅游推荐系统中的应用进行了详细考察，并对综合应用各种上下文信息的旅游推荐系统进行了分析；从旅游推荐产品的角度对推荐系统进行分类考察；最后讨论了上下文感知旅游推荐系统目前面临的重点和难点问题，指出下一步的研究方向。     

基于Parlay API和代理技术的自适应上下文感知策略平台

首先介绍了自适应业务定义和各种生成技术,然后概述了Parlay API(应用编程接口)中策略管理.重点描述了增加策略代理和策略代理服务器,并用Parlay API方式管理;提出了移动终端中的环境感知进程的概念;设计了规则的存储,将自适应业务构建在了下一代移动网络中的业务支撑平台上.最后阐明了方案的优势.     

泛在网络关键技术及发展展望

泛在网络是硬件、软件、系统、终端和应用的融合,它把网络空间、信息空间和人们生活的物理空间集成为一个整体,从而使网络如同空气和水一样无所不在和自由地融入人们的生活和工作之中.本文主要介绍了泛在网络的概念及结构,对其关键技术进行了阐述和分析,并对泛在网络面临的问题提出了自己的解决方案,这可为泛在网络的进一步研究提供指导.     

Personalization and Context Management

Supporting the individual user in his working, learning, or information access is one of the main goals of user modeling. Personal or group user models make it possible to represent and use information about preferences, knowledge, abilities, emotional states, and many other characteristics of a user to adapt the user experience and support. Nowadays, the disappearing computer enables the user to access her information from a variety of personal and public displays and devices. To support a new generation of contextualized and personalized information and services, this paper addresses the problem of context management. Context management is a new approach to the design of context-aware systems in ubiquitous computing that combines personalization and contextualization. The presented framework for context management integrates user modeling and context modeling, which can benefit from each other and give rise to more valid models for personalized and contextualized information delivery. The paper will introduce a base framework and tools for designing context-aware applications and decompose the underlying framework into its foundational components. As two illustrative application cases, the paper discusses implementations of an intelligent advertisement board and an audio-augmented museum environment.     

WWW in the Small

The web technology is increasingly used by communities of various kinds to support their memory and the interactions among their members. In these cases the WWW can be viewed as a web of local spaces (Web in the small), each characterized by local structure and semantics. The local space can be used to provide the community members with adaptive functionalities to enhance their navigations and to promote new forms of interaction among them. The realization and management of these functionalities are sustainable since they do not require more knowledge and effort than the ones the community generates and spends to survive. The paper presents a technology, the LAW system, which is a step towards a view of the Web in the small and complements more traditional technologies supporting the current acceptation of the World Wide Web (Web in the large). The LAW system is informed by an agent based model where space and its topology are first class concepts.     

基于角色和上下文感知的网格动态访问控制研究

网格要达到资源共享的目的,就必须解决资源的访问控制问题.传统的RBAC并不能很好的适应网格环境下的访问控制,所以必须扩展RBAC.简单介绍RBAC,分析RBAC在网格环境中的不足,提出基于角色和上下文感知的动态网格访问控制研究模型,并做了形式化描述.