跳到主要內容

臺灣博碩士論文加值系統

(44.210.85.190) 您好!臺灣時間:2022/12/10 13:48
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:劉致緯
研究生(外文):Jhih-Wei Liu
論文名稱:老年人緊急回應雲2.0建構之研究
論文名稱(外文):The Study of Constructing Elderly Emergency Response Cloud 2.0
指導教授:廖慶榮廖慶榮引用關係
指導教授(外文):Ching-Jung Liao
學位類別:碩士
校院名稱:中原大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:47
中文關鍵詞:雲端運算個人緊急回應系統軟體即服務(SaaS)
外文關鍵詞:Cloud ComputingPersonal Emergency Response SystemSoftware as a Service (SaaS)
相關次數:
  • 被引用被引用:2
  • 點閱點閱:110
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
由於近年來台灣人口結構老化,因此產生高齡化社會問題日益受到重視。高齡化產生的社會問題:1.家屬外出工作無法照顧老年人口;2.失智老人走失問題;3.老人發生危險事故無所不在,當老人發生跌倒而無人協助下最嚴重可能會造成死亡。這些問題對應到過去研究發現個人緊急回應系統設計重點主要在硬體之整合,例如:整合血壓計與心電圖之功能串接智慧型手機,將其定時偵測的資料回傳,智慧型手機會判斷數值,根據數值判斷異常情形,則會執行緊急呼救程序。
然而,過去的研究皆是以個人緊急回應系統1.0 規範所設計,需要主動測量數據、缺乏行動性、無緊急通報按鈕、需要測量後才能回傳、只有單一種功能,如有跌倒偵測就沒有測量數據。因此,本研究以個人緊急回應系統2.0規範設計,並融入雲端運算中軟體即服務(Software as a Service, SaaS)概念提出老年人緊急回應雲2.0(Elderly Emergency Response Cloud 2.0, EERC 2.0),配合特殊規格手機EC7000,解決1.0架構中無法主動回傳、缺乏行動性與無緊急按鈕的問題。
因此本研究融入個人緊急回應系統2.0概念,具備傾斜感應器、緊急通報按鈕、具有方便攜帶性與定時回傳功能之裝置,方便攜帶性適合老人使用。由於老人隨時隨地都有可能發生危險,在個人緊急回應系統2.0概念中,定時回傳功能當不只是傳送日常測量數值,而要包含使用者完整的追蹤紀錄,其亦具備高度隱私性的網站供電話中心或是家屬人員查看,使用者目前位置與過往活動紀錄,並依照老人之生活習慣做出提醒。傳統伺服器使用固定數量的虛擬機或是實體機器,當裝置數量過多可能會造成,伺服器無法負荷造成服務中斷,因此本研究使用雲端運算架構,來避免資料量突然過大問題。
本研究將應用雲端運算中三種部署模式,撰寫的平台為軟體即服務(SaaS),部署於平台即服務(Platform as a Service, PaaS)中,架構於基礎設施即服務(Infrastructure as a Service, IaaS)上。基礎設施即服務(IaaS)使用Amazon EC2雲端服務,並設定自動擴展(Auto Scaling) 與負載平衡(Load Balancing)。由於Amazon EC2資料中心遍佈全世界,選定3個資料中心驗證效能,測試單台虛擬機反應時間與比較單台與雲端運算架構下虛擬機的連線反應時間,最後驗證雲端運算中自動擴展與負載平衡。驗證結果顯示使用雲端架構,在反應時間上更快與防止多人使用平台下會造成服務中斷問題。


Due to the aging of population in recent years in Taiwan, social issues arising from aging society have drawn increasing attention, such as (1) Family members cannot take care of the elderly due to work. (2) Elderly missing with dementia problems. (3) Elderly incidents are everywhere, when elderly falls without other people’s help, it could cause death in the worst case. Past studies showed that Personal Emergency Response System (“PERS”) focused mostly on the integration of hardware. For example, smart phones with Sphygmomanometer and Electrocardiography functions can determine the value and return it on a regular basis. Then Emergency Response will be executed in case of abnormal value.
However, past studies are designed based on specification of Personal Emergency Response System(“PERS”)1.0, which requires active measurement, lacks mobility, without emergency button, has only single function, and the one with detect of falls would lacks function of data measurement. Therefore, this study is designed based on specification of PERS 2.0, with integration of Software as a Service(SaaS) in Cloud Computing; it presented Elderly Emergency Response 2.0. With special phone EC7000, it solves the problems of 1.0, such as lack of active response, mobility and no emergency button.
Therefore, this study is integrated with the concept of PERS 2.0, with three-axis gyro, emergency buttons and device for returning value, which is elderly-friendly with its portability. Because elderly incidents are everywhere, PERS 2.0 not only focuses on daily value returning, but includes complete track record, and it also provides highly-private websites for the use of call centers and family members on user’s present site and past activities, and gives reminder according to elderly’s habits and customs.
Traditional server using fixed number of virtual machines or physical machine could cause service interruption due to overload. Thus, this study will use cloud computing to prevent from sudden overload. It uses three deployment models of cloud computing, writing platform for SaaS, deployed on Platform as a Service (PaaS), and built on Infrastructure as a Service (IaaS). IaaS uses Amazon EC2, which set with Auto Scaling and Load Balancing. Because Amazon EC2 data centers throughout the world, select three data centers, and test single virtual machine to test the reaction time for verifying the performance and verify Auto Scaling and Load Balancing on cloud computing, finally compare the response time of single virtual platform and cloud computing machine. The result shows that under cloud computing architecture, it reduces response time, and also prevent from service interruption due to overload.


摘要 I
Abstract III
誌謝 V
目錄 VI
圖目錄 VIII
表目錄 IX
第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究問題 4
第四節 研究限制 5
第五節 論文架構 5
第貳章 文獻探討 7
第一節 雲端運算(Cloud Computing) 7
第二節 軟體即服務(Software as a Service) 10
第三節 個人緊急回應系統 2.0 12
第參章 研究方法與系統架構 14
第一節 研究方法 14
第二節 系統架構 15
1. 建立系統概念框架 15
2. 發展系統架構 16
3. 分析與設計系統 18
第肆章 系統實作與討論 22
第一節 系統環境 22
第二節 系統實作 22
第三節 情境模擬 25
第四節 Amazon EC2自動擴展與負載平衡設定 28
第五節 效能分析 29
1. 單機連線壓力測試 29
2. 雲端架構連線壓力測試 30
3. 驗證自動擴展 31
4. 比較單機與雲端架構壓力測試差異 32
第六節 EC7000與智慧型手機比較 34
第伍章 結論 36
參考文獻 37



圖 2 1 雲端運算架構圖 7
圖 3 1 系統發展法 14
圖 3 2 系統層次概念架構圖 16
圖 3 3 系統架構圖 17
圖 3 4 軟體即服務細部功能圖 19
圖 3 5 以Google 地圖API 顯示求救者位置 19
圖 3 6 使用簡訊商API 所傳送緊急通知訊息 20
圖 3 7 平台即服務層細部設計圖 20
圖 3 8 基礎設施即服務層細部設計圖 21
圖 4 1 情境模擬一 26
圖 4 2 情境模擬二 27
圖 4 3 Auto Scaling Group 畫面圖 28
圖 4 4 Amazon EC2 自動擴展準則圖 31
圖 4 5 自動擴展設定準則圖 32
圖 4 6 EC7000外觀圖 34


表 1 1 整理個人緊急回應系統1.0與2.0比較表 3
表 2 1 以往個人緊急回應系統與目前緊急救援相關產品之整理 13
表 4 1 本研究所使用的硬體配置 22
表 4 2本研究所使用的軟體配置 22
表 4 3老年人緊急回應雲2.0各模組詳細功能介紹 24
表 4 4 EC7000 功能介紹 25
表 4 5 虛擬機規格表 29
表 4 6 單台虛擬機連線反應時間表(單位:毫秒) 30
表 4 7 雲端虛擬機連線反應時間表(單位:毫秒) 30
表 4 8 美國地區單機與雲端架構連線反應時間比較表(單位: 毫秒) 33
表 4 9 新加坡地區單機與雲端架構連線反應時間比較表(單位: 毫秒) 33
表 4 10 日本地區單機與雲端架構連線反應時間比較表(單位: 毫秒) 33
表 4 11 EC7000與智慧型手機比較表 35


[1]中華民國統計資訊網. (2013). 2012年台灣老年人口比率. Available: http://ebas1.ebas.gov.tw/
[2]行政院經濟建設委員會, "中華民國 2012 年至 2060 年 人口推計," 2013.
[3]陳美芳, 林家綾, 蔡宗廷, 朱素鳳, 洪淑玲, 顏碧汝, et al., "以系統性文獻回顧探討台灣居家老年人跌倒之相關或危險因素," 臺灣公共衛生雜誌, vol. 32, pp. 403-423, 2013.
[4]劉俐蓉 and 沈希哲, "都會社區獨居及慢性病老人跌倒之預測因子," 北市醫學雜誌, vol. 5, pp. 86-101, 2008.
[5]L. Ziyu, X. Feng, W. Guowei, Y. Lin, and C. Zhikui, "iCare: A Mobile Health Monitoring System for the Elderly," in Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int''l Conference on &; Int''l Conference on Cyber, Physical and Social Computing (CPSCom), 2010, pp. 699-705.
[6]M. Shoaib, T. Elbrandt, R. Dragon, and J. Ostermann, "Altcare: Safe living for elderly people," in Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS, 2010, pp. 1-4.
[7]A. Y. Jeon, J. H. Kim, J. H. Kim, J. H. Jung, S. Y. Ye, J. H. Ro, et al., "Implementation of the Personal Emergency Response System using a 3-axial Accelerometer," in Information Technology Applications in Biomedicine, 2007. ITAB 2007. 6th International Special Topic Conference on, 2007, pp. 223-226.
[8]A. Samraj and K. Rajendran, "Communication by gestures in personal emergency response system," in Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference on, 2013, pp. 230-235.
[9]J. Suganthi, N. V. Umareddy, and N. Awasthi, "Medical alert systems with TeleHealth &; telemedicine monitoring using GSM and GPS technology," in Computing Communication &; Networking Technologies (ICCCNT), 2012 Third International Conference on, 2012, pp. 1-5.
[10]F. M. Aymerich, G. Fenu, and S. Surcis, "An approach to a cloud computing network," in Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the, 2008, pp. 113-118.
[11]B. Week. (2007). Google and the Wisdom of Clouds. Available: http://4sis.com.br/noticias/Google%20and%20the%20Wisdom%20of%20Clouds.pdf
[12]T. Economist. (2006). Universal Service? Proponents of "software as a service" say it will wipe out traditional software. Available: http://www.economist.com/node/6838606
[13]W.-T. Tsai, Y. Huang, X. Bai, and J. Gao, "Scalable architectures for SaaS," in Object/component/service-oriented real-time distributed computing workshops (isorcw), 2012 15th ieee international symposium on, 2012, pp. 112-117.
[14]E. Hossny, S. Khattab, F. Omara, and H. Hassan, "A Case Study for Deploying Applications on Heterogeneous PaaS Platforms," in Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on, 2013, pp. 246-253.
[15]Gartner. (2013). Cloud Computing. Available: http://www.gartner.com/it-glossary/cloud-computing/
[16]V. Choudhary, "Software as a service: Implications for investment in software development," 2007, p. 209a.
[17]J. J. Y. W. J. Fu and J. W. Z. Lin, "Research on key technology in SaaS," 2010.
[18]衛生福利部統計處. (2013). 獨居老人人數及服務概況. Available: http://www.mohw.gov.tw/cht/DOS/DisplayStatisticFile.aspx?d=31857
[19]R. R. Teasdale TA, "Perception of Safety With and Without a Personal Response System (PRS)," in 54th Annual Meeting of the Gerontological Society of America, Chicago, IL, 2001.
[20]生命連線基金會. (2013). Available: http://www.lifecare.org.tw/
[21]中興保全-MiniBond. Available: http://www.minibond.tw/
[22]J. F. Nunamaker Jr and M. Chen, "Systems development in information systems research," in System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on, 1990, pp. 631-640.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top