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dc.contributor.convenorM. Palaniswami, University of Melbourne, Australiaen_AU
dc.contributor.authorDarcy, Peteren_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.editorS. Marusic, M. Palaniswami, J. Gubbi, Y.W. Lawen_US
dc.date.accessioned2017-05-03T11:26:25Z
dc.date.available2017-05-03T11:26:25Z
dc.date.issued2009en_US
dc.date.modified2010-06-03T09:04:02Z
dc.identifier.refurihttp://www.issnip.org/2009/en_AU
dc.identifier.doi10.1109/ISSNIP.2009.5416745en_AU
dc.identifier.urihttp://hdl.handle.net/10072/29997
dc.description.abstractRadio 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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent420023 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeMelbourne, Australiaen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameFifth International Conference on Intelligent Sensors, Sensor Networks and Information Processingen_US
dc.relation.ispartofconferencetitleProceedings of the 2009 Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing -ISSNIPen_US
dc.relation.ispartofdatefrom2009-12-07en_US
dc.relation.ispartofdateto2009-12-10en_US
dc.relation.ispartoflocationMelbourne, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchDatabase Managementen_US
dc.subject.fieldofresearchcode080604en_US
dc.titleA Fusion of Data Analysis and Non-Monotonic Reasoning to Restore Missed RFID Readingsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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