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研究生: 宋宜諭
Yi-yu Sung
論文名稱: 校園安全輔以RFID技術判定行蹤異常應用情境之研究
Identification of Abnormal Behavioral Incidences with RFID for Campus Safety Scenarios
指導教授: 周碩彥
Shuo-Yan Chou
口試委員: 王孔政
Kung-Jeng Wang
喻奉天
Vincent F. Yu
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: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 32
中文關鍵詞: 無線射頻辨識(RFID)校園安全RSSI定位情境
外文關鍵詞: RFID, Campus Security, RSSI Localization, Scenarios
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  • 現今的RFID結合了無線傳感技術,提供了低成本、具有效率與較大覆蓋率的優勢,各研究機構和企業也因此積極參與 RFID的開發與應用等相關技術。RFID已逐漸被廣泛應用於物流管理,資產管理,安全監控與智慧生活。在本研究中,我們關注校園建置的情境與提供之服務,我們首先討論發展RFID為基準的定位模型適用性,其中包含偵測定位與主要環境因素的影響,接著藉由以RFID為基準的模型提出適當的校園情境,其中包括時間與位置的對應、停留的時間與危險區域的進入。提出的情境可以幫助教師了解學生的情況以及能及時發現問題的產生並提供適當反應,進而改善校園中的安全問題。


    Nowadays RFID combined with wireless sensor technology to provide low-cost, efficient, and the strong advantages that can cover large region. Various research institutes and enterprises are actively involved in RFID development and application of relevant technologies. RFID applications have gradually been widely used in Logistics management, property management, security monitoring, and smart living space. In this research, the scenario in the campus and the provided service are what we concern. We discuss the applicability of the RFID technology in location sensing and the main environmental factors before developing an RFID-based localization scheme. Then by the RFID-base model, the propose application scenarios in the campus can help teacher handling the situation of students, detecting arising problem and provide appropriate response to improve the security in the campus.

    中文摘要 I Abstract II Table of Contents III List of Figures V List of Tables VI Chapter 1 Introduction 1 1.1 Background and Motivation 1 1.2 Objective 3 1.3 organization of the thesis 4 Chapter 2 Literature Reviews 5 2.1 RFID Introduction 5 2.2 RFID Application 7 2.3 RFID localization methods 8 2.4 Overview of localization techniques 11 Chapter 3 RFID-based Model 13 3.1 Data sensing and preprocessing 13 3.2 RFID-base Localization 15 3.2.1 Concept and limitations 15 3.2.2 Position framework 17 3.2.3 RFID localization algorithms 18 3.3 Mining 21 Chapter 4 Application scenarios on Campus 23 4.1 Application scenarios 23 4.2 Example 27 Chapter 5 Conclusion 29 Reference 30

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