记忆计算:概念、特性及研究进展

发布时间：2018-07-04 21:33

本文选题：普适计算 + 记忆计算　；参考：《计算机科学》2016年09期

【摘要】：随着信息技术的发展,尤其是移动互联网与物联网的发展,有关个人工作和生活的数据呈指数型增长。这些海量的数据中蕴含着丰富而有价值的个人信息,如何从这些数据中挖掘出有价值的信息成为当前信息领域的重要问题。针对该问题,介绍了普适计算领域新兴起的研究主题——记忆计算。记忆计算旨在通过各种带感知和计算功能的设备,比如智能手机、可穿戴设备等,实时感知和捕获用户线上线下活动的数据,分析并挖掘其内在价值,进而组织和管理有意义的记忆数据,实现基于情境的记忆数据呈现,以辅助个体记忆,支持社群交流与协作。讨论了基于移动情境感知的记忆计算的概念、特性、系统模型以及当前研究的关键技术与挑战,综述了记忆计算在生活日志、记忆提醒、往事回忆和群体记忆分享等方面的研究进展,并对其未来发展进行了展望。
[Abstract]:With the development of information technology, especially the development of mobile Internet and Internet of things, the data about personal work and life are increasing exponentially. These huge amounts of data contain rich and valuable personal information. How to extract valuable information from these data has become an important problem in the field of information. To solve this problem, memory computing, a new research topic in pervasive computing, is introduced. Memory computing is designed to analyze and exploit the intrinsic value of a user's online and offline activity through a variety of devices with sensing and computing capabilities, such as smartphones, wearable devices, and so on. Furthermore, it can organize and manage meaningful memory data, realize situational memory data presentation, assist individual memory, and support community communication and cooperation. This paper discusses the concepts, characteristics, system models, key technologies and challenges of memory computing based on mobile situational awareness, and summarizes memory computing in life logs, memory reminders. The research progress of past memory and group memory sharing is discussed, and its future development is prospected.
【作者单位】：西北工业大学计算机学院;
【基金】：国家自然科学基金(61332005,61373119,61222209) 国家重点基础研究发展计划(973计划)(2015CB352400) 教育部“新世纪优秀人才支持计划”(NCET-12-0466) 陕西省青年科技新星项目(2014KJXX-39)资助
【分类号】：B842.3;TP311.13

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