期刊文献+

基于REST的智能环境服务系统研究 被引量:1

Research on Intelligent Environmental Service System Based on REST
下载PDF
导出
摘要 针对当前智能环境服务系统中系统复杂度高、异构设备间的信息交互孤岛、缺乏智能化的问题,提出了基于REST架构的智能环境服务系统框架.首先,该框架在REST中间件层将设备及数据抽象成资源,并通过标准的RESTAPI服务实现对资源的操作,从而解决异构设备间的交互问题,降低系统复杂度;其次,在服务提供层结合粗糙集和数据挖掘理论,生成属于用户自己的个性化服务方法,为系统的个性化服务提供支撑;最后,结合智能家居环境给出了系统设计的案例分析. Aiming at the problems of high system complexity,isolated information exchange between hetero? geneous devices and lack of intelligence in current intelligent environment service system,an intel? ligent environment service system architecture based on REST is proposed. Firstly,it abstracts equipment and data into resources through REST middleware technology,using standard REST API services to operate resources,the problem of interaction between heterogeneous devices is solved. Secondly,combined with rough set and data mining theory,personalized service method is generated. Lastly,combined with the smart home environment,the system design case is given.
作者 王斌 汪峰坤 张婷婷 WANG Bin;WANG Feng-kun;ZHANG Ting-ting(Anhui Technical College of Mechanical and Electrical,Wuhu,Anhui 241000,China)
出处 《通化师范学院学报》 2019年第4期7-10,共4页 Journal of Tonghua Normal University
基金 安徽省高校自然科学研究重点项目(KJ2018A0861,KJ2017A759) 安徽省高校优秀青年人才支持计划重点项目(gxyqZD2018137)
关键词 智能环境 REST架构 云服务 数据挖掘 Intelligent Environment REST architecture cloud services data mining
  • 相关文献

参考文献5

二级参考文献96

  • 1邢春晓,高凤荣,战思南,周立柱.适应用户兴趣变化的协同过滤推荐算法[J].计算机研究与发展,2007,44(2):296-301. 被引量:146
  • 2Linden G, Smith B, York J. hem-to-item collabo- rative filtering [ J ]. IEEE Internet Computing, 2003,7 ( 1 ) :76-80.
  • 3Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems:A survey of the state-of-the-art and possible extensions [ J ]. IEEE Transactions on Knowledge and Data En- gineering, 2005,17 ( 6 ) : 734-749.
  • 4Grouplens Research Lab. MovieLens data sets [ EB/OL]. (2009-12-20). http://www, grou- plens, org/node/73.
  • 5LI J,WANG Q,WANG C,et al.Fuzzy keyword search over en-crypted data in cloud computing. INFOCOM’’10 . 2010
  • 6MORETTI C,BUI H,HOLLINGSWORTH K,et al.All-pairs:an abstraction for data-intensive computing on campus grids. IEEE Transactions on Parallel and Distributed Systems . 2010
  • 7DONG F,,LUO J,SONG A,et al.Resource load based stochasticDAGs scheduling mechanism for grid environment. HPCC’’10 . 2010
  • 8ZHOU J,LUO J,SONG A.NETOP:a non-cooperative game basedtopology optimization model towards improving search performance. Journal of Internet Technology .
  • 9Google investor relations. http://investor.google.com/financial . 2011
  • 10GREENBERG A,HAMILTON J,MALTZ D A,et al.The cost of acloud:research problems in data center networks. SIGCOMMComput Commun Rev . 2008

共引文献867

同被引文献5

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部