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Proactive personalized services Through Fog-Cloud Computing in Large-Scale IoT-Based Healthcare Application

China Communications 2017年第11期14卷 1-16页

作者： Shuqing He Bo Cheng Haifeng Wang Yuze Huang Junliang Chen State Key Lab.of Networking & Switching Technology Beijing University of Posts & Telecommunications School of Information Science & Technology Linyi University

With the development of medical sensors and IoT, personalized service assisted elder and patient living is a critical service in IoT-based healthcare application. However, the scale and complexity of personalized service is increasing because of ubiquitous deployment of various kinds of medical sensors, which cause response time increase and resource waste. Therefore, leveraging the advantage of complex event processing(CEP) in data stream processing, we propose a hierarchical fog-cloud computing CEP architecture for personalized service to accelerate response time and reduce resource waste. Firstly, we introduce the proposed architecture, which includes sensor layer, fog layer and cloud layer. Secondly, we propose a series of optimizations for the architecture, there are a partitioning and clustering approach and a communication and parallel processing policy to optimize the fog and cloud computing. Finally, we implement a prototype system based on the architecture named Fog Cep Care. Experimental result shows that Fog Cep Care is superior to the traditional IoT-based healthcare application.

关键词： personalized services fog computing complex event pattern IoT-based healthcare application

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Mobile Cloud for personalized Any-Media services

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ZTE Communications 2012年第3期10卷 47-54页

作者： Bhumip Khasnabish Standards Development and Industry Relations ZTE USA Inc.MorristownNJ07960USA

In this paper, we define mobile cloud computing and describe how it can be used for delivering advanced any-media services to both nomadic and mobile users. We focus on service delivery that is localized and personalized and suggest that virtualization and tighter cross-layer communication allows for convergence and seamless transition of services. These are also creating new and never-before seen ways of developing and delivering personalized any-media services. We discuss current paradigms for implementing cloud-based any-media services that generate revenue. Future research topics and requirements for evolving network and service elements are also discussed.

关键词： mobile cloud virtualization cross-layer communications any-media service personalized services localized services

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Mining Interesting Knowledge from Web-Log

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 569-574页

作者： ZHOUHong-fang FENGBo-qin HEIXin-hong LULin-tao SchoolofElectronicsandInformationEngineering Xi＇anJiaotongUniversityXi＇an710049Shaanxi.China SchoolofComputerScienceandEngineering Xi＇anUniversityofTechnologyXi＇an710018Shaanxi.China

Web-log contains a lot of information related with user activities on the Internet. How to mine user browsing interest patterns effectively is an important and challengeable research topic. On the analysis of the present algorithm’s advantages and disadvantages we propose a new concept: support-interest. Its key insight is that visitor will backtrack if they do not find the information where they expect. And the point from where they backtrack is the expected location for the page. We present User Access Matrix and the corresponding algorithm for discovering such expected locations that can handle page caching by the browser. Since the URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples, we can mine user preferred sub-paths from the computation of this matrix. Accordingly, all the sub-paths are merged, and user preferred paths are formed. Experiments showed that it was accurate and scalable. It’s suitable for website based application, such as to optimize website’s topological structure or to design personalized services. Key words Web Mining - user preferred path - Web-log - support-interest - personalized services CLC number TP 391 Foundation item: Supported by the National High Technology Development (863 program of China) (2001AA113182)Biography: ZHOU Hong-fang (1976-), ***. D candidate, research direction: data mining and knowledge discovery in databases.

关键词： Web Mining user preferred path Web-log support-interest personalized services

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The Research on personalized Service of Digital Library Based on Data Mining

The Research on Personalized Service of Digital Library Base...

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2012 National Conference on Information Technology and Computer Science

作者： Nan Pang Library of HeBei United University Tang Shan,China Feng Yan Research Department of XingTai University Xing Tai,China

In recent years,with the deepening of information technology,people facing increasing amounts of information *** the same time,people’s demand of information is more and *** digital library,with a wealth of information resources,how to give readers a deeper level of personalized service is a new target for the development of digital *** data mining is through techniques to extract useful information from a lot of cluttered information,in order to provide effective technical support for personalized services of digital *** paper analyses the feasibility of data mining technology in digital libraries,discusses the data mining technology in the digital library applications.

关键词： Data mining personalized services Digital library

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Mining Interesting Knowledge from Web-Log

Mining Interesting Knowledge from Web-Log

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The First Conference on Web Information System and Applications

作者： ZHOU Hong-fang, FENG Bo-qin, HEI Xin-hong, LU Lin-taoSchool of Electronics and Information Engineering. Xi’ an Jiao-tong University. Xi’an 710049. Shaanxi, China School of Computer Science and Engineering. Xi’an University of Technology. Xi’an 710018. Shaanxi. China

＜正＞ Web-log contains a lot of information related with user activities on the Internet. How to mine user browsing interest patterns effectively is an important and challengeable research topic. On the analysis of the present algorithm’s advantages and disadvantages, we propose a new concept: support interest. Its key insight is that visitor will backtrack if they do not find the information where they expect. And the point from where they backtrack is the expected location for the page. We present User Access Matrix and the corresponding algorithm for discovering such expected locations that can handle page caching by the browser. Since the URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples, we can mine user preferred sub-paths from the computation of this matrix. Accordingly, all the sub paths are merged, and user preferred paths are formed. Experiments showed that it was accurate and scalable. It’s suitable for website based application, such as to optimize website’s topological structure or to design personalized services.

关键词： Web Mining user preferred path: Web-log support interest personalized services

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知识门户的个性化服务现状及优化研究

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图书馆学情报学 2009年第12期

作者：王翠萍杨冬梅

采用网络调查的方法对国内外典型知识门户的个性化服务进行调查研究，发现知识门户的个性化服务存在定制服务不完善、提供的内容不够知识化、资源集成有限、缺乏用户交流空间以及咨询服务不足等问题，进而提出在用户需求分析、资源获取... 详细信息

采用网络调查的方法对国内外典型知识门户的个性化服务进行调查研究，发现知识门户的个性化服务存在定制服务不完善、提供的内容不够知识化、资源集成有限、缺乏用户交流空间以及咨询服务不足等问题，进而提出在用户需求分析、资源获取与集成、信息分析与提供、知识推荐、用户交流平台和人才培养等方面的优化策略，希望有助于提高知识门户个性化服务水平。

关键词：知识门户信息资源集成个性化服务优化策略 Knowledge portal Information resource integration personalized services Optimization strategy

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图书馆之个性化研究资源服务

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图书馆学、信息科学、资料工作 2007年第11期 19-25页

作者：陈光华

在学术竞争力越显重要的情形之下，大学图书馆必须提供更佳的研究资源服务环境，以支持教授与学生的学术研究活动，个性化研究资源服务是一个可行的方向。本文说明个性化图书馆服务的现况，并讨论在一个以研究型大学自许的大学环境，图... 详细信息

在学术竞争力越显重要的情形之下，大学图书馆必须提供更佳的研究资源服务环境，以支持教授与学生的学术研究活动，个性化研究资源服务是一个可行的方向。本文说明个性化图书馆服务的现况，并讨论在一个以研究型大学自许的大学环境，图书馆应提供具有弹性的个性化服务系统架构，以整合日新月异的各项图书信息资源，并应超越类似系统以一般资源服务为主的现况，着重于研究资源的服务，包括接口管理、资源管理、书目管理、新知通报、检索管理、信息过滤、自动摘要、引用分析。

关键词：研究资源个性化服务 Research resources personalized services

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