臺灣博碩士論文加值系統

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

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