期刊文献+

基于群智感知的校园活动信息采集与分享系统 被引量:3

Campus Activity Sensing and Sharing based on Mobile Crowd Sensing
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摘要 近年来,随着可内嵌多种传感器的智能手机的快速普及和应用,群智感知计算技术作为一种新的感知模式逐步发展起来。为了使大型社区的工作和生活变得更加丰富便捷,文章将群智感知计算技术应用于大学校园社区中。针对传统校园活动信息发布形式(如贴海报、布置展板)的相对闭塞性和不及时性(实时活动往往在事后报道)等问题,研究了基于群智感知的校园活动信息采集与分享系统FocusSense。该系统以校园内大量手机用户为移动传感节点,通过图像信息采集来共享用户关注的校园内活动信息(活动通知或实时活动),以此来帮助学生及时、高效而全面的获取校园内活动信息。 In recent years, with the prevalence and rapid development of rich sensor-equipped smartphones, mobile crowd sensing (MCS) has developed as a new sensing paradigm (in comparison with traditional sensor networks). We have explored the usage of MCS technologies in large-scale communities, such as university campuses, to make our work or life more colorful and convenient. Because the traditional forms of information dissemination activities in university campuses (such as posters, display boards) are relative occlusive and not in time (some activities are reported after they are held), we have done research on activity data collection and sharing on campus. A new MCS system called FoeusSense is proposed and developed. In this system we regard smartphone users within the campus as mobile sensor nodes. They can capture activity information in the form of images and transmit them to a backend server. The server will classify the activities according to their different types (real-time activities, event notifications) and share them with campus community members. FocusSense can facilitate the information capture and dissemination in campus-scale environments.
出处 《信息网络安全》 2013年第12期20-23,共4页 Netinfo Security
基金 国家自然科学基金[61222209 61373119 61103063] 教育部新世纪优秀人才支持计划[NCET-12-0466] 教育部高等学校博士学科点专项科研基金[20126102110043] 陕西省自然科学基础研究计划项目[2012JQ8028] 西北工业大学基础研究基金[JC20110267]
关键词 智慧校园 群智感知计算 智能手机 图像分类 ADABOOST算法 smart campus mobile crowd sensing smartphones image classification AdaBoost algorithm
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参考文献12

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