Access Restriction

Author Hwang, Min-Shiang ♦ Chang, Yi-Hsin ♦ Wu, Hao-Ju ♦ Lin, Iuon-Chang
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Real-time location system (rtls) ♦ Radio frequency identification (rfid) ♦ Back propagation network (bpn) ♦ Received signal strength indicator (rssi)
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.
Description Affiliation: National Chung Hsing University, Taichung, Taiwan (Wu, Hao-Ju; Chang, Yi-Hsin; Hwang, Min-Shiang; Lin, Iuon-Chang)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2004-10-01
Publisher Place New York
Journal ACM SIGBED Review (SIGBED)
Volume Number 6
Issue Number 2
Page Count 8
Starting Page 1
Ending Page 8

Open content in new tab

   Open content in new tab
Source: ACM Digital Library