A Fusion of Data Analysis and Non-Monotonic Reasoning to Restore Missed RFID Readings

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Title A Fusion of Data Analysis and Non-Monotonic Reasoning to Restore Missed RFID Readings
Author Darcy, Peter John; Stantic, Bela; Sattar, Abdul
Publication Title Proceedings of the 2009 Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing -ISSNIP
Editor S. Marusic, M. Palaniswami, J. Gubbi, Y.W. Law
Year Published 2009
Place of publication Melbourne, Australia
Publisher IEEE
Abstract Radio Frequency Identification (RFID) is a wireless technology which can efficiently track various items within certain proximity. It has the potential to become a great asset across many applications such as a tracking inventory within a warehouse and the ability to track medical utensils within a hospital environment. Unfortunately, there are several problems that hinder the wide scale adoption of RFID technology including the serious threat of missed readings. Current state-of-the-art methodologies which attempt to solve the problem of false negatives can still not effectively restore the data set completely. In this paper, we propose an architecture that utilises a fusion of both intelligent data analysis of the observational records and a non-monotonic reasoning engine designed to determine the most likely values to restore. We then perform an analysis upon our methodology in which we discuss the adoption of our application.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ISSNIP.2009.5416745
Copyright Statement Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 978-1-4244-3518-0
Conference name Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Location Melbourne, Australia
Date From 2009-12-07
Date To 2009-12-10
URI http://hdl.handle.net/10072/29997
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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