English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113160/144130 (79%)
Visitors : 50759740      Online Users : 439
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/127178
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/127178


    Title: Optimized Luminaire Allocation and Configuration with Luminaire Failure Compensation
    Authors: 李博逸
    Li, Bo-Yi*
    Wang, Chen-Shu
    Yang, Chao-Wei
    Lin, Wei-Chieh
    Hung, Shang-Chih
    Chiang, Song-Bor
    Contributors: 資管博二
    Date: 2019-02
    Issue Date: 2019-10-30 11:13:56 (UTC+8)
    Abstract: In this research, we aim to solve the luminaire allocation and configuration problem. Additionally, considering the difficult of movement or adjustment of fixed luminaire, the luminaire failure issue is also taken consideration in the proposed model. To verify the proposed lighting configuration based on the GA, the athletic fields is taken as an example. According to two experiments results, compare to the lighting simulation software DIALux, in scenes with average illuminance of 750 lux and 350 lux, the error rate was less than 5%. In scenes with average illuminance of 150, the error rate was relatively high. The disparity value of illuminance between each point was between 0.9 lux and 37.4 lux, and the average disparity value of illuminance was 16.6 lux. In the two experiments, it is notable that the lighting configuration proposed based on the GA in this research has extraordinary effects. The traditional method based on experience can be replaced. The result can be verified by the DIALux software recognized in the industry, proving the feasibility of the model.
    Relation: 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), The Korean Institute of Information Scientists and Engineers
    Data Type: conference
    DOI 連結: https://doi.org/10.1109/BIGCOMP.2019.8679262
    DOI: 10.1109/BIGCOMP.2019.8679262
    Appears in Collections:[資訊管理學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML2432View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback