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    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/79203
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/79203


    Title: 手機使用者於電量管理之行為模式分析
    User Behavior Analysis of Power Management from Smart-Phone User Logs
    Authors: 張錦生
    Chang, Chin Sheng
    Contributors: 李蔡彥
    Li, Tsai Yen
    張錦生
    Chang, Chin Sheng
    Keywords: 智慧型手機
    使用紀錄
    行為模式
    電量管理
    smart phone
    user log analysis
    mobile user behavior
    power management
    Date: 2015
    Issue Date: 2015-11-02 14:49:25 (UTC+8)
    Abstract: 資訊科技的進步與智慧型手機的普及,使得人們通訊方式改變,生活也更加依賴智慧型手機。然而,電池技術卻未能支援智慧型手機長時間使用,因此手機使用者在電量管理上的行為就變得相對重要。欲研究探討手機使用者的電量管理行為模式,須建立一個包含軟、硬體及使用者的實驗平台,本研究採用經麻省理工學院驗證的Funf Framework開放性原始碼框架,作為蒐集使用者操作紀錄資料,以情境假設觀察這些資料,定義出各情境行為模式的特徵,並根據實驗數據進行所有資料驗證。根據實驗結果,大致歸納出電量管理行為模式,此結果可提供使用者使用手機在電量管理上參考,或發展智慧型電量管理應用程式,以最佳化電量管理。
    The innovation of information technology and the spread of smart phones are changing the way that people communicate and how their livings rely on smart-phones. However, the technology of battery nowadays is still insufficient to meet the need of heavy smart-phones users; therefore, it be-comes relatively important to observe and analyze the user behavior on power management. This research aims to study the patterns of user be-havior on power management by building an experimental platform with appropriate software, hardware and users. We use the Funf Open Sensing Framework, which is originally developed at the MIT Media Lab, to collect user logs on smart phones. We have observed collected data under contex-tual assumptions, identified characteristics within the context of each be-havior pattern, and validated with the experimental data. With the result of the experiment, several patterns of power management have been classified. The experimental result can be used as a reference for the users to manage battery life, or for developing applications on smart power management that best optimizes energy consumption.
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    [3] N. Ding, D. Wagner, X. Chen, A. Pathak, Y. C. Hu, and A. Rice, "Characterizing and modeling the impact of wireless signal strength on smartphone battery drain," in ACM SIGMETRICS Performance Evaluation Review, pp. 29-40, 2013.
    [4] A. Carroll and G. Heiser, "An Analysis of Power Consumption in a Smartphone," in USENIX annual technical conference, 2010.
    [5] Wikipedia. Mobile operating system. Available: https://en.wikipedia.org/wiki/Mobile_operating_system [Jul. 23, 2015].
    [6] Wikipedia. Android (operating system). Available: https://en.wikipedia.org/wiki/Android_(operating_system) [Jul. 23, 2015].
    [7] The Architecture Of SQLite. Available: http://www.sqlite.org/arch.html [Jul. 23, 2015].
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    [9] N. Aharony, A. Gardner, C. Sumter, and A. Pentland, "Funf: Open sensing framework," 2011.
    [10] F. Team. Funf. Available: http://www.funf.org/ [Jul. 23, 2015].
    [11] A. Avram. Funf Is a Sensing and Data Processing Mobile Framework. Available: http://www.infoq.com/news/2012/01/Funf, Jan. 14, 2012 [Jul. 23, 2015].
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    [16] 馬雲. 騰訊數碼. Available: http://digi.tech.qq.com/a/20131115/014966.htm, Nov. 15, 2013 [Jul. 23, 2015].
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    [18] X. Lim. New screen design could extend smart phone battery life. Available: http://news.sciencemag.org/technology/2014/11/new-screen-design-could-extend-smart-phone-battery-life, Nov. 24, 2014 [Jul. 23, 2015].
    [19] H.-Y. Wu, W.-H. Liao, P.-M. Chen, C.-Y. Hsu, and T.-Y. Li, "Logging and Analyzing Long-Term Mobile User Behavior," International Journal of Electronic Commerce Studies, vol. 5, pp. 161-180, 2014.
    [20] N. Eagle and A. Pentland, "Reality mining: sensing complex social systems," Personal and ubiquitous computing, vol. 10, pp. 255-268, 2006.
    [21] J. Kort and H. de Poot, "Usage analysis: combining logging and qualitative methods," in CHI`05 extended abstracts on Human factors in computing systems, pp. 2121-2122, 2005.
    [22] 許志毓, "智慧型手機的使用者行為模式分析," 碩士, 資訊科學系, 政治大學, 2013.
    [23] W.-R. Tseng and K.-W. Hsu, "Smartphone App Usage Log Mining," International Journal of Computer and Electrical Engineering, vol. 6, pp. 151-156, 2014.
    [24] 林姿旻, "數位遊戲之行動載具使用者行為與開發分析─ 以智慧型手機為例," 碩士, 數位內容碩士學位學程, 政治大學, 2010.
    Description: 碩士
    國立政治大學
    資訊科學學系
    96971015
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0096971015
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

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