Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 102 === Cloud computing is one of the hot topics in IT technique, making application services being deployed efficiently, reducing cost, high redundancy and reliability, has the potential to transform major part of IT industry.   Recently, transmissible disease...

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Main Authors: Jih-Yuh Chen, 陳治宇
Other Authors: 陳凱瀛
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/jd75r8
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spelling ndltd-TW-102TIT050310412019-05-15T21:42:32Z http://ndltd.ncl.edu.tw/handle/jd75r8 Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example 基於雲端之冷凍鏈服務平台設計與分析-以防疫檢體監控為例 Jih-Yuh Chen 陳治宇 碩士 國立臺北科技大學 工業工程與管理系碩士班 102 Cloud computing is one of the hot topics in IT technique, making application services being deployed efficiently, reducing cost, high redundancy and reliability, has the potential to transform major part of IT industry.   Recently, transmissible diseases cause serious problems both in China and Taiwan, which threaten our life and cause property-loss. The infectious pathogen makes cross-infection as sudden as lightning, extending the infected area, doing damage in large. To do so, this study constructs the specimen monitoring system based on cloud computing, which containing notifiable diseases report function, specimen examination platform, historical medical records searching and real-time specimen transportation monitoring. With this system, it can insure specimen safety and completeness during transportations, statistic the information of infected districts and report notifiable diseases to take anti-epidemic reaction. This study analyzes the system’s advantages of cloud architecture with experimental scenarios, summarizing the result. 陳凱瀛 2014 學位論文 ; thesis 101 zh-TW
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language zh-TW
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description 碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 102 === Cloud computing is one of the hot topics in IT technique, making application services being deployed efficiently, reducing cost, high redundancy and reliability, has the potential to transform major part of IT industry.   Recently, transmissible diseases cause serious problems both in China and Taiwan, which threaten our life and cause property-loss. The infectious pathogen makes cross-infection as sudden as lightning, extending the infected area, doing damage in large. To do so, this study constructs the specimen monitoring system based on cloud computing, which containing notifiable diseases report function, specimen examination platform, historical medical records searching and real-time specimen transportation monitoring. With this system, it can insure specimen safety and completeness during transportations, statistic the information of infected districts and report notifiable diseases to take anti-epidemic reaction. This study analyzes the system’s advantages of cloud architecture with experimental scenarios, summarizing the result.
author2 陳凱瀛
author_facet 陳凱瀛
Jih-Yuh Chen
陳治宇
author Jih-Yuh Chen
陳治宇
spellingShingle Jih-Yuh Chen
陳治宇
Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
author_sort Jih-Yuh Chen
title Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
title_short Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
title_full Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
title_fullStr Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
title_full_unstemmed Design and Analysis of Cold Chain Service Platform Based on Cloud Computing-Taking Infectious Specimen Monitoring as Example
title_sort design and analysis of cold chain service platform based on cloud computing-taking infectious specimen monitoring as example
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/jd75r8
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