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研究生:陳柏融
研究生(外文):Bo-Jung Chen
論文名稱:以無線射頻辨識與行動代理人技術開發情境智能為基之智慧社區照護系統
論文名稱(外文):Smart Community Care System: Ambient Intelligence Using Radio Frequency Identification (RFID) and Mobile Agent
指導教授:蘇傳軍蘇傳軍引用關係
指導教授(外文):Chuan-Jun Su
學位類別:碩士
校院名稱:元智大學
系所名稱:工業工程與管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:90
中文關鍵詞:社區照護無線射頻辨識行動代理人
外文關鍵詞:Community careRadio Frequency Identification (RFID)Mobile Agent
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隨著醫療科技快速進步,人們壽命逐漸延長;然而,受到近年來出生率下降的影響,人口老化速度甚快,而每位青壯人口扶養老年人口比率亦持續增加中;根據經建會人力規劃處的推估,台灣將於2017年後正式邁入高齡社會。因此高齡者整體生活的安排,包括福利、醫療、安養、人力開發、生涯發展的輔導,應及早妥善的規劃,以減輕高齡人口對社會的依賴。這也同時代表著老人照護及生活品質將被更加的重視與要求。目前國內的長期照護服務多屬於機構式的服務,例如安養中心或護理之家等,但由於社會變遷與家庭結構的改變,家庭照護人力面臨短缺,碰到家中老人沒有自理能力時,就只能送到這類的機構去接受照顧,然而,絕大多數的老年人卻都仍然希望能夠「在地老化」,終老在屬於自己的地方。
因此台灣以及世界各國無不透過本身的努力,建構社區照護,以落實照護普及化及社區化的目標。因此為了能提供更即時與個人化的照護服務,本研究中透過無線射頻辨識技術(RFID, Radio Frequency Identification)與行動代理人(Mobile Agent)技術的結合來實現以情境智能為基之「智慧型社區照護系統」,透過RFID的身份辨識與定位追蹤特性,因而自動辨識照護人員與老年人的身份,使照護人員知道老年人在社區中的位置,使照護人員從原本被動的照護方式改為主動前往老年人身旁的進行照護;同時行動代理人將根據RFID所獲得的訊息,自主的思考與判斷,並在網路上尋找有關的訊息,來提供適合的服務與資訊給予照護人員,使照護人員只需攜帶著擁有無線網路能力的table PC或PDA與系統連線,即可擁有最新與完整的資料,同時快速瞭解老年人所需要的服務,使老年人可以得到個人且完善的照護服務;此外能快速且穩定的將照護結果記錄回傳資料庫,而不在需要攜帶紙本資料進行記錄,減少筆誤與資料遺失發生。
The advancement of medical technology greatly extends people’s lifespan. Nevertheless, the continuous falling of birth rate has promoted an “aging population” in many nations. Low Birth Rate will be placing massive economic burden on younger people especially in the developed nations. According to the Council of Economic Planning and Development''s Department of Manpower Planning Taiwan will officially become an aged society by 2017. Planning on living arrangements for senior citizens such as welfare, medical care, nursing homes, manpower development and career counseling should be started as early as possible to reduce their dependency on society. This also means that more emphasis will be placed on improving the quality of life and care for the elders. Most long-term care services in Taiwan are provided on an institutional basis by nursing homes due to the structural changes in society and family. Traditional family-based home care system is perishing. Once an elderly people are unable to care for themselves, the family has no choice but place them in a nursing home. The majority of the elderly, however, would much prefer "age in place" and live out their lives where they belong.

Taiwan and other countries around the world are all striving for establishing pervasive community care services. To provide more responsive and personalized care services, this research aims to develop a “Smart Community Care System (SCCS)” based on the concept of Ambient Intelligence using Radio Frequency Identification (RFID) and Mobile Agent (MA) technologies. Caregivers may locate care-receivers easily in a community with RFID while MA furnishes timely and accurate information for the care provision. The care historical data can be automatically recorded as well. SCCS is expected to be able to promote the pervasive community care services with convenience, context awareness and accuracy.
摘 要 i
Abstract iii
Contents v
List of Tables vii
List of Figures viii
List of Figures viii
Chapter 1 Introduction 1
1.1 Background and Motivation 1
1.2 Objective 7
1.3 Overview of this Thesis 8
Chapter 2 Literature Review 9
2.1 Ambient Intelligence (AmI) 9
2.1.1 AmI 9
2.1.2 Context-aware 10
2.1.3 Location-based Services (LBS) 12
2.2 Radio-frequency Identification (RFID) 15
2.2.1 RFID Development 15
2.2.2 ZigBee Based RFID 16
2.2.3 RFID in Healthcare 20
2.3 Mobile Agent Technology 24
2.3.1 Mobile Agent 24
2.3.2 JADE 25
2.3.3 JADE Architecture 27
2.3.4 Reason for Selecting JADE 29
2.3.5 Mobile Agent in Healthcare 30
2.3.6 Context-aware Mobile Agent 32
2.3.7 Context-aware Mobile Agent in Healthcare 33
2.4. The Impact of the Social Dimension 34
2.5 Conclusion of Literature Review 36
Chapter 3 System Architecture 37
3.1 SCCS platform Design 37
3.2 RFID Environment in SCCS 39
3.2.1 RFID Environment 39
3.3 Agent Network Environment in SCCS 40
3.3.1 Agent Environment 40
3.3.2 Agent Containers 42
3.3.3 Information Agent (IA) 42
3.3.4 External Service Provider (ESP) 43
3.3.5 User Agent (UA) 43
3.3.6 Scheduling Agent (SA) 44
3.3.7 Nursing Agent (NA) 45
3.4 Implementation Scenarios 46
3.4.1 Scenario 47
Chapter 4 Implementation 52
4.1 Hardware and software configuration 52
4.2 Design of Database 54
4.3 Initiating the platform 55
4.4 Demonstration of implement scenario 1: The caregiver is an ordinary volunteer 60
4.5 Demonstration of implement scenario 2: The caregiver is a volunteer physician 70
Chapter 5 Conclusion and future work 73
5.1 Conclusion 73
5.2 Limitations 74
5.3 Future work 74
1.Population Reference Bureau, 2008 World Population Data Sheet, 2008, United States of America.
2.Chung, W.C., A Study on Institution Developing Community Care and Integrating Resource, in Graduate School of Social Informatics 2007, Yuan-Ze University, Master.
3.Chen, C.Y., Long-Term Care for the Elderly. Formosan Journal of Medicine, 2003. 7(3): p. 404-413.
4.Barr W and Glover-Thomas N, Housing The Mentally Vulnerable - The Role Of Charities, 2005, Liverpool: Charity Law Unit.
5.Department of Health, Caring for People: Community Care in the Next Decade and Beyond, 1989, Cm. 849, London, HMSO.
6.Lee, C.C., A Pilot Study of Foodservice Needs for Aging in Place Elder, in Department of Restaurant, Hotel and Institutional Management. 2006, Fu Jen Catholic University, Master.
7.Kikhia, B., Acceptance of Ambient Intelligence (AmI) in Supporting Elderly people and people with Dementia, in Department of Business Administration and Social Sciences. 2008, Lulea University of Technology, Master.
8.Wikipedia. Ambient Intelligence. Available from: http://en.wikipedia.org/wiki/Ambient_intelligence.
9.Mendes, M., R. Suomi, and C. Passos, Digital Communities in a Networked Society. 2004.
10.SCHMIDT, A., Ambient Intelligence. Interactive Context-Aware System Interacting with Ambient Intelligence, ed. G. Riva, et al. 2005.
11.Chou, Y.H., The Design and Implementation of a Mobile Agent-based Framework for Context-aware Computing, in Department of Computer and Information Science. 2002, National Chiao Tung University, Master.
12.Kaasinen, E., User needs for location-aware mobile services. Personal Ubiquitous Comput., 2003. 7(1): p. 70-79.
13.Wikipedia. Location-based service. Available from: http://en.wikipedia.org/wiki/Location-based_service.
14.Wikipedia. Enhanced 911. Available from: http://en.wikipedia.org/wiki/Enhanced_911.
15.Schiller, J. and A. Voisard, Location Based Services. 2004: Morgan Kaufmann Publishers Inc.
16.Wikipedia. Global Positioning System. Available from: http://en.wikipedia.org/wiki/Global_Positioning_System.

17.Wikipedia. Real-time locating. Available from: http://en.wikipedia.org/wiki/Real-time_locating.
18.Tzeng, S.-F., W.-H. Chen, and F.-Y. Pai, Evaluating the business value of RFID: Evidence from five case studies. International Journal of Production Economics, 2008. 112(2): p. 601-613.
19.Heile, B. Emerging Standards: Where do ZigBee/UWB fit. ZigBee Alliance web site 2004; Available from: http://www.zigbee.org/.
20.Tsou, Y.P., Research and Implementation of Image Transmission on ZigBee Sensor Network, in Department of Electrical Engineering. 2005, Yuan-Ze University, Master.
21.Shizhuang, L., L. Jingyu, and F. Yanjun. ZigBee Based Wireless Sensor Networks and Its Applications in Industrial. in Automation and Logistics, 2007 IEEE International Conference on. 2007.
22.Lee, H.J., S.H. Lee, K.-S. Ha, H.C. Jang, W.-Y. Chung, J.Y. Kim, Y.-S. Chang, and D.H. Yoo, Ubiquitous healthcare service using Zigbee and mobile phone for elderly patients. International Journal of Medical Informatics, 2009. 78(3): p. 193-198.
23.Ni, S.P., Improving Patient Safety and Control in Operating Room by Leveraging RFID Technology, in Department of Industrial Engineering and Management. 2007, Yuan-Ze University, Master.
24.Chen, H.P., An RFID-enabled Inpatient Safety Management System, in Department of Industrial Engineering and Management. 2007, Yuan-Ze University, Master.
25.Lee, Y.C., System Analysis and Planning for RFID Application in Medical Institutes, in Department of Information Management. 2004, National Chung Cheng University, Master.
26.Miller, M., Tuning into future healthcare use of RFID. Automatic I.D. News, 1999. 15(2): p. 58.
27.Shang-Wei, W., C. Wun-Hwa, O. Chorng-Shyong, L. Li, and C. Yun-Wen. RFID Application in Hospitals: A Case Study on a Demonstration RFID Project in a Taiwan Hospital. in System Sciences, 2006. HICSS ''06. Proceedings of the 39th Annual Hawaii International Conference on. 2006.
28.Hewitt, C., Viewing Control Structures as Patterns of Passing Messages. Journal of Artificial Intelligence,, 1997. 8(6): p. 323-364.
29.Bellavista, P., A. Corradi, and C. Stefanelli, Mobile agent middleware for mobile computing. Computer, 2001. 34(3): p. 73-81.


30.Chiang, C.Y., Multi- Mobile Agent based Virtual Alliance Formation (MAVAF) Platform with Virtual Collaboration Support, in Department of Industrial Engineering and Management. 2008, Yuan-Ze University, Master.
31.Etzioni, O. and D.S. Weld, Intelligent agents on the Internet: Fact, fiction, and forecast. IEEE Expert, 1995. 10(4): p. 44-49.
32.Okada, R., L. Eun-Seok, and N. Shiratori. Agent-based approach for information gathering on highly distributed and heterogeneous environmsent. in Parallel and Distributed Systems, 1996. Proceedings., 1996 International Conference on. 1996.
33.Magedanz, T., K. Rothermel, and S. Krause. Intelligent agents: an emerging technology for next generation telecommunications? in INFOCOM ''96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE. 1996.
34.Domel, P., Mobile Telescript Agents and the Web, in Proceedings of the 41st IEEE International Computer Conference. 1996, IEEE Computer Society.
35.Berghoff, J., O. Drobnik, A. Lingnau, and C. Monch. Agent-based configuration management of distributed applications. in IEEE International Workshop on Configurable Distributed Systems -Proceedings. 1996. Annapolis, MD, USA: IEEE.
36.Chiang, J.C., The Application of Agent Software in Out-patient Medical Information System, in Department of information management. 1998, National Central University, Master.
37.JADE. Available from: http://jade.tilab.com/.
38.Wu, C.Y., An Implementation of Intelligent Mobile Multi-Agent Based, Distributed Information Platform (MADIP) for Autonomous Health Care Monitoring with JADE, in Department of Industrial Engineering and Management. 2007, Yuan-Ze University, Master.
39.FIPA. Available from: http://www.fipa.org.
40.Bellifemine, F., G. Caire, T. Trucco, and G. Rimassa. JADE Programmer’s Guide. 2007; Available from: http://jade.tilab.com/doc/programmersguide.pdf
41.Bellifemine, F., G. Caire, A. Poggi, and G. Rimassa, JADE: A software framework for developing multi-agent applications. Lessons learned. Inf. Softw. Technol., 2008. 50(1-2): p. 10-21.
42.Bellifemine, F., G. Caire, T. Trucco, G. Rimassa, and R. Mungenast, JADE ADMINISTRATOR''S GUIDE 2007.


43.Bellifemine, F., A. Poggi, and G. Rimassa, Developing Multi-agent Systems with JADE, in Intelligent Agents VII Agent Theories Architectures and Languages. 2001. p. 42-47.
44.Nguyen, G., T.T. Dang, L. Hluchy, M. Laclavik, Z. Balogh, and I. Budinska, Agent Platform Evaluation and Comparison. Jun, 2002, Technical report for Pellucid 5FP IST-2001-3459.
45.Mea, V.D., Agents acting and moving in healthcare scenario - a paradigm for telemedical collaboration. Information Technology in Biomedicine, IEEE Transactions on, 2001. 5(1): p. 10-13.
46.Camarinha-Matos, L.M. and H. Afsarmanesh, Virtual Communities and Elderly Support Advances in Automation, Multimedia and Video Systems, and Modern Compuuter Science 2001: p. 279-284
47.Burstein, F., Zaslavsky, A., Arora, N, Context-aware mobile agents for decision-making support in healthcare emergency applications, in Proceedings of the 1st Workshop on Context Modeling and Decision Support, A.G. T. Bui, Editor. 2005: Paris, France. p. pp. 1-16.
48.Bricon-Souf, N. and C.R. Newman, Context awareness in health care: A review. International Journal of Medical Informatics, 2007. 76(1): p. 2-12.
49.Munoz, M.A., M. Rodriguez, J. Favela, A.I. Martinez-Garcia, and V.M. Gonzalez, Context-aware mobile communication in hospitals. Computer, 2003. 36(9): p. 38-46.
50.Eungyeong, K., Y. Hyogun, Z. Yupeng, M. Lee, and L. Jaewan. A Hypertension Management System with Emergency Monitoring. in Information Security and Assurance, 2008. ISA 2008. International Conference on. 2008.
51.Friedewald, M., E. Vildjiounaite, Y. Punie, and D. Wright, Privacy, identity and security in ambient intelligence: A scenario analysis. Telematics and Informatics, 2007. 24(1): p. 15-29.
52.Bohn, J.g., V. Coroama, M. Langheinrich, F. Mattern, and M. Rohs, Living in a world of smart everyday objects--Social,economic, and ethical implications. Human and Ecological Risk Assessment, 2004. 10(5): p. 763-785.
53.Loch, K.D., Carr, H.H. and Warkentin, M.E., Threats to information systems: Today’s reality, yesterday’s understanding, MIS Quarterly, 1992, Vol. 16 No. 2, June, pp.173–186.
54.Yau, S.M.T., H.V. Leong, and A. Si, Distributed agent environment: application and performance. Information Sciences, 2003. 154(1-2): p. 5-21.
55.Bellifemine, F., G. Caire, T. Trucco, and G. Rimassa. JADE Tutorial JADE Programming for Beginners. 2007; Available from: http://jade.tilab.com.
56.Rifartek_Technologies. 2008; Available from: http://www.rifartek.com/Web/.
57.Rifartek_Technologies. [User Manual] ServRobot and CliRobot usage 2008; Available from: http://www.rifartek.com/Web/index.jsp?page=4&random=0.806001459064001.

58.行政院經濟建設委員會人力規劃處(2008)。2008 年世界人口重要指標。
59.行政院衛生署國民健康局(2007)。中老年身心社會生活狀況長期追蹤第六次調查。節錄自網站:http://www.bhp.doh.gov.tw
60.行政院衛生署國民健康局(2008)。研究顯示:五成老人有三種以上慢性病。節錄自網站:http://www.bhp.doh.gov.tw/bhpnet/portal/PressShow.aspx?No=200810090004
61.吳曉慧(2004)。老人照護的新與產業。臺灣經濟研究月刊,27(11),42-48。
62.黃松林(2005)。如何建立社區照顧關懷據點 - 理念與實務:內政部社福研習中心。
63.台北市政府社會局(2009)。社區照顧關懷據點實務操作手冊。節錄自網站:http://www.bosa.tcg.gov.tw/dn.asp?uid=6785
64.蔡漢賢(2000)。社會工作辭典:內政部社區發展雜誌社。
65.黃志泰(2006)。情境和位置感知之即時行動資訊服務系統,臺灣網際網路研討會。花蓮。
66.陳哲銘, 賴政國, 賴建盛 與黃俊閔(2005)。「無所不在」的資訊服務:LBS 定位服務簡介。在國土資訊系統通訊季刊第55期(55冊)(頁14-26)。
67.周駿呈(2005)。全球LBS服務市場發展現況分析。節錄自網站:http://www.teema.org.tw/upload/ciaupload/200711-2Analysis.pdf
68.李建斌 與張復閔(2006)。RFID室內定位挑戰重重 結合LBS可望提供個人化導航服務。在新通訊元件。
69.陳玫君, 侯惠霖, 黃敏毓, 李婉慈 與林宛徵(2006)。台灣應用無線射頻辨識系統之市場研究評估:南台科技大學管理與資訊系。
70.財團法人老五老基金會。節錄自網站:http://www.ofo.org.tw/
71.華山社會福利慈善事業基金會。節錄自網站:http://www.elder.org.tw/
72.長庚養生文化村。節錄自網站:http://www.cgmh.org.tw
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