本篇論文以RFID追蹤精神病患之定位與可靠性研究，環境中配置RFID Field Generator(訊號場產生器)以及Reader(訊號讀取器)，而病患身上則配戴手錶式RFID tag(標籤)。系統運作方式是以Field Generator發出訊號，當RFID tag進入此Field Generator的訊號範圍時將寫入此Field Generator編號，並將本身的tag編號以和所寫入之Field Generator編號送至RFID Reader，根據其運作方式本論文提出動態校正訊號範圍之定位演算法來定位病患所在位置以方便管理、照護，因此為得到較為正確的定位位置，在本系統中加入reference tag(參考標籤)以提升其定位的準確度。
　　為解決兩Field Generator之訊號交錯區中訊號不穩定之情況，本篇論文提出頂點合併及刪除之著色演算法，首先將問題轉換為圖形，透過圖形簡化及著色理論來解決，由實驗結果中可發現在我們的追蹤系統之中其訊號可靠度有相當程度的改善。

This paper presents an RFID based psychiatric patient tracking system with reliability improvement. In this system, RFID Field Generators and Readers are installed in the environment, near the entrance and exit points, for tracking the patients. Every patient wears a tag. The Field Generator constantly transmits trigger signal to any tag within its transmission range. When a tag receives the trigger from a Field Generator, it responds to a Reader with the ID of the Field Generator issuing the trigger. Based on the Field Generator IDs a tag responds, we proposed the dynamic Range Adjustment Localization algorithm that estimates the location of the patient associated with the tag. However by so doing, it is necessary to have significant dense of Field Generators to obtain significantly accurate location. In this system, reference tags are used as reference basis for increasing the localization accuracy.
In order to resolve interferences from different Field Generators, this paper also proposed a Graph Coloring with Merging and Deletion (GCMD) algorithm in this tracking system for solving the interference caused from Field Generators located one near another. Experimental results show that this algorithm has significantly improved the reliability of the tracking system, increasing the feasibility of RFID in psychiatric patient tracking.

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