智能感知空间中基于QoX的上下文不确定性建模和处理关键技术研究

项目名称： 智能感知空间中基于QoX的上下文不确定性建模和处理关键技术研究

项目编号： No.61771292

项目类型： 面上项目

立项/批准年度： 2018

项目学科： 无线电电子学、电信技术

项目作者： 许宏吉

作者单位： 山东大学

项目金额： 16万元

中文摘要： 感知是信息获取的必要手段，是系统智能化的基础和前提。本课题结合智能普适系统的发展需求，研究面向智能感知空间的基于层次化综合质量指标（QoX）的上下文不确定性建模和处理关键技术，具体研究（1）智能感知空间中基于QoX的上下文不确定性优化建模方法；（2）基于QoX自适应管理的上下文不确定性处理方法。在研究中，使用层次化的综合质量指标来评估系统性能并指导系统建模和算法优化设计，同时把严重影响系统性能的不确定性因素作为研究的重要问题贯穿始终。通过研究，管理并提高上下文信息采集设备的质量（QoD）、上下文信息的质量（QoC）、智能系统的综合性能和服务质量(QoS)，并进一步提高人机交互时的用户体验质量(QoE)，为智能感知技术的创新和广泛应用提供必要的参考和依据。

中文关键词： 智能空间；上下文感知；不确定性；不一致性消除；建模

英文摘要： As the means to obtain information, awareness technology is the foundation and prerequisite to achieve system intelligence. Concerning the development requiremnts of pervasive computing system, this project researches some key technologies of contextual uncertainty modeling and processing based on hierarchical comprehensive quality index (QoX) in smart space. The project concentrates on the following research points: (1) The methods of contextual uncertainty optimal modeling based on QoX for smart context-aware space; (2) The uncertainty processing method based on adaptive QoX management. In the study, hierarchical comprehensive quality index is used to evaluate the system performance and guide the system modeling and algorithm optimization. At the same time, the uncertainty problems which severely degrade system performance are studied as an significant object throughout the research. Through the study of this project, it would be beneficial to manage and improve the quality of device (QoD), the quality of context (QoC), the performance of intelligent systems and their quality of service (QoS), and also further improve the comprehensive quality of experience (QoE) of human-computer interaction. The research of this project would provide the necessary reference and basis for the technological innovation of intelligent context-awareness technology.

英文关键词： Smart space;Context-aware;Uncertainty;Inconsistency elimination;Modeling