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研究生: 楊開元
Yang, Kai-Yuan
論文名稱: 非語文性注意力暨記憶力測驗之軟硬體平台再造
Re-engineering of Software and Hardware Platform for Comprehensive Nonverbal Attention and Memory Test Battery
指導教授: 侯廷偉
Hou, Ting-Wei
學位類別: 碩士
Master
系所名稱: 工學院 - 工程科學系
Department of Engineering Science
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 75
中文關鍵詞: 非語文性注意力測驗非語文性記憶力測驗再製
外文關鍵詞: CNAT, CNMT, reengineering
相關次數: 點閱:102下載:19
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  • 本論文之目的為再製非語文性注意力測驗暨非語文性記憶力測驗(Comprehensive Non-Verbal Attention Battery and Comprehensive Non-Verbal Memory Test Battery, CNAT & CNMT)。本研究解決其軟硬體之議題,復原了其遺失之演算法與技術文件,並同時對其流程進行優化與改進。
    非語文性注意力測驗暨非語文性記憶力測驗為一包含兩種測驗之測驗組,設計之目的為用於測量不同個體之注意力與工作記憶能力之程度。其特點為包含多種認知部件,同時亦不影響非標的功能之干擾與影響。此測驗已經應用約二十年。然而,此測驗配套之軟硬體因久無更新已老化過時。硬體供應商已停止生產與支援此產品,軟體因年份問體僅能在 Windows XP上運作,無法相容於較新之作業系統,比如 Windows 10.
    本研究為解決此問題,根據遺留之源碼與文件,重新再製非語文性注意力測驗暨非語文性記憶力測驗之軟硬體平台。再製之版本擁有更好之軟硬體相容性,同時具有可維護性與可升級性,以支援未來更多研究與醫學應用。

    This purpose of this thesis is to re-engineer Comprehensive Non-Verbal Attention Battery and Comprehensive Non-Verbal Memory Test Battery (CNAT & CNMT). Software and hardware issues are solved, lost algorithms are restored and documented, along with some upgrade to the workflow. A new version named as CNAMT-Touch is built, with new technical packages.
    CNAT & CNMT are a set of two test battery(packages) designed to measure multi-level attention and working memory of an individual. They are specified on testing multiple cognition parts while avoiding non-target abilities that interfere the result. Over two decades, CNAT & CNMT have served their purpose well. However, the software and hardware are outdated. There are two major issues. First, the hardware producer had stopped producing the hardware platform. Second, the software is running on Windows XP; it is not compatible on later OS versions such as Windows 10.
    To solve the issues, this thesis re-engineered the algorithm, software and hardware platform for CNAT & CNMT based on the original system and manual. It has software and hardware compatibility, maintainable and upgradeable, allowing further refinements to support future studies.

    Abstract I Acknowledgements II Contents IV List of Tables VI List of Figures VII Chapter 1 Introduction 1 1.1 CNAT & CNMT 1 1.1.1 Introduction of CNAT & CNMT 1 1.1.2 Usage of CNAT & CNMT 2 1.2 Motivation and aim of thesis 3 1.3 Thesis Outline 4 Chapter 2 Background and Related Works 6 2.1 The Current state of CNAT & CNMT 6 2.1.1 Hardware of CNAT & CNMT 6 2.1.2 Software of CNAT & CNMT 10 2.2 The Operation of CNAT & CNMT 12 2.3 The Issues of current CNAT & CNMT platform 13 2.4 Current Studies Associate with CNAT & CNMT 14 Chapter 3 CNAMT-Touch System Architecture 17 3.1 CNAT workflow 18 3.2 The Scoring system of CNAT 31 3.3 CNMT workflow 32 3.4 The Scoring system of CNMT 43 Chapter 4 Implementation and Experimental Results 46 4.1 Hardware 46 4.2 Software: CNAMT-Touch 50 4.3 The experiments 60 4.4 Discussion 65 Chapter 5 Conclusion and Future Works 70 5.1 Conclusion 70 5.2 Future work 71 References 73

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