Applying a Neural Network to Recover Missed RFID Readings

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Title Applying a Neural Network to Recover Missed RFID Readings
Author Darcy, Peter John; Stantic, Bela; Sattar, Abdul
Publication Title Proceedings of the Thirty-Third Australasian Computer Science Conference (ACSC 2010)
Editor B. Mans and M. Reynolds
Year Published 2010
Place of publication Sydney Australia
Publisher Australian Computer Society
Abstract Since the emergence of Radio Frequency Identification technology (RFID), the community has been promised a cost effective and efficient means of identifying and tracking large sums of items with relative ease. Unfortunately, due to the unreliable nature of the passive architecture, the RFID revolution has been reduced to a fraction of its intended audience due to anomalies such as missed readings. Previous work within this field of study have focused on restoring the data at the recording phase which we believe does not allow enough evidence for consecutive missed readings to be corrected. In this study, we propose a methodology of intelligently imputing missing observations through the use of an \emph{Artificial Neural Network} (ANN) in a static environment. Through experimentation, we discover the most effective algorithm to train the network and establish that the ANN restores a cleaner data set than other intelligent classifier methodologies.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.comp.mq.edu.au/conferences/acsc10/
Copyright Statement Copyright (c) 2010, Australian Computer Society, Inc. This paper appeared at the Thirty-First Australasian Computer Science Conference (ACSC2010), Brisbane, Australia. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 102. B. Mans and M. Reynolds, Eds. Reproduction for academic, not-for profit purposes permitted provided this text is included.
ISBN 978-1-920682-83-5
Conference name The Thirty-Third Australasian Computer Science Conference
Location Brisbane, Australia
Date From 2010-01-18
Date To 2010-01-22
URI http://hdl.handle.net/10072/31373
Date Accessioned 2010-01-22
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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