English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21693623      Online Users : 614
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
    ASIA unversity > 資訊學院 > 資訊工程學系 > 會議論文 >  Item 310904400/13473


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/13473


    Title: Flexible RFID Location System Based on Artificial Neural Networks for Medical Care Facilities
    Authors: 黃明祥;Hwang, Min-Shiang
    Contributors: 資訊工程學系
    Keywords: Real-time location system (RTLS);Radio frequency identification (RFID);Back propagation network (BPN);Received signal strength indicator (RSSI)
    Date: 2009-04
    Issue Date: 2012-11-22 09:14:38 (UTC+0)
    Abstract: RFID location systems are often used in real-time location systems that come up with the problems
    like multipath phenomenon and layout changing. These make locating difficult because most of the
    location systems are based on fixed mathematical calculation that cannot take these situations into
    account. Using artificial neural network, our location scheme can learn the geography features to
    adapt to the real world. It could avoid multipath phenomenon effect and be flexibly applied to any
    environment. The experimental processes and result are shown in the end of the paper.
    Relation: The 2nd Joint Workshop On High Confidence Medical Devices, Software, and Systems (HCMDSS 2009) and Medical Device Plug-and-Play (MD PnP 2009)
    Appears in Collections:[資訊工程學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML416View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback