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研究生: 王士靈
Putu - Satriya Marga Dinata
論文名稱: 支持健康說服系統之情感感知物聯網促能平台之設計
A Design of Context-Aware IoT-Enabled Platform with Service Discovery for Supporting Health Persuasive System
指導教授: 周碩彥
Shuo-Yan Chou
口試委員: 楊朝龍
Chao-Lung Yang
查士朝
Shi-Cho Cha
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2014
畢業學年度: 102
語文別: 英文
論文頁數: 76
中文關鍵詞: Internet of ThingsHealth PromotionPersuasive TechnologyArchitectural FrameworkOntologyService MetadataService Discovery
外文關鍵詞: Internet of Things, Health Promotion, Persuasive Technology, Architectural Framework, Ontology, Service Metadata, Service Discovery
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  • This study is a part of health promotion project which aims to make a receptive system for preventive healthcare considering the emerging technology breakthrough of the Internet of Thing (IoT) as the next generation of health promotion services. To be receptive, the system should have the capability in providing context-aware recommendation, motivating, and empowering its users. It is required for the system to be fully integrated with context sensors to recognize users’ dynamic contexts in which providing context-aware recommen-dation through analyzing the sensorial data as it is a part of users’ contexts. Ingrained with persuasive system, it enables the system to deliver the recommendation in an opportune moment, motivate the users to execute the recommendation, and maintain it. To empower the users, a mechanism to reduce users’ difficulties in doing the given recommendation have to be developed by offering them with the most appropriate service.
    A conceptual architectural-design of context-aware IoT-enabled platform was deve-loped in this study following the requirement for a receptive system. A service-oriented context-aware middleware (SOCAM) architecture abstraction is adapted in the architectural design of the platform in order to build a system based on context-awareness and support the reusability of existing fragmented services. The modular architectural design with context provider as its part intends to build such platform supporting integration with IoT sensing networks and to support ubiquitous environment.
    Furthermore, an approach towards the problems of service integration and service discovery to reduce user difficulties in executing the recommendation of healthy activities has been developed. Several methods in information retrieval such as TF/IDF and semantic-based similarity algorithm are developed in order to resolve the service discovery issues.


    This study is a part of health promotion project which aims to make a receptive system for preventive healthcare considering the emerging technology breakthrough of the Internet of Thing (IoT) as the next generation of health promotion services. To be receptive, the system should have the capability in providing context-aware recommendation, motivating, and empowering its users. It is required for the system to be fully integrated with context sensors to recognize users’ dynamic contexts in which providing context-aware recommen-dation through analyzing the sensorial data as it is a part of users’ contexts. Ingrained with persuasive system, it enables the system to deliver the recommendation in an opportune moment, motivate the users to execute the recommendation, and maintain it. To empower the users, a mechanism to reduce users’ difficulties in doing the given recommendation have to be developed by offering them with the most appropriate service.
    A conceptual architectural-design of context-aware IoT-enabled platform was deve-loped in this study following the requirement for a receptive system. A service-oriented context-aware middleware (SOCAM) architecture abstraction is adapted in the architectural design of the platform in order to build a system based on context-awareness and support the reusability of existing fragmented services. The modular architectural design with context provider as its part intends to build such platform supporting integration with IoT sensing networks and to support ubiquitous environment.
    Furthermore, an approach towards the problems of service integration and service discovery to reduce user difficulties in executing the recommendation of healthy activities has been developed. Several methods in information retrieval such as TF/IDF and semantic-based similarity algorithm are developed in order to resolve the service discovery issues.

    Abstract i Acknowledgements iv Table of Contents v List of Figures vii List of Tables viii Chapter 1 Introduction 9 1.1 Background and Motivation 9 1.2 Problem Description 11 1.3 Objective 14 1.4 Organization of the Thesis 15 Chapter 2 Literature Review 16 2.1 Health Promotion 16 2.2 Health Persuasive System 17 2.3 Decision-Making Level on IoT-Enabled Service 20 2.4 The Proposed Activity-Oriened Persuasive Framework 21 2.5 Ontology 23 Chapter 3 Architectural Design of Context-Aware IoT-Enabled Platform 26 3.1 Context Provider Layer 27 3.1.1 Physical Sensor Sensing Layer 29 3.1.2 Virtual Sensor Sensing Layer 36 3.2 Context Interpreter Layer 43 3.3 Context-Aware Service Layer 43 3.4 Context Management Layer 43 3.5 Platform Server 46 Chapter 4 Design of Context-Aware Service Metadata 47 4.1 Design of Context-Aware Service Metadata Ontology 47 4.2 Ontology Evaluation 55 4.3 Metadata Structure 58 Chapter 5 Mechanism Design of Context-Aware Service Discovery 59 5.1 User’s Context Analysis 60 5.2 Service Analysis 60 5.3 Service Discovery Based on Semantic Similarity and Relatedness 62 5.4 Generated Metric 65 Chapter 6 Conclusion and Future Research 69 6.1 Conclusion Remark 69 6.2 Future Work 69 References 71

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