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dc.contributor.authorPupunwiwat, Prapassaraen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.editorDavid Parsonsen_US
dc.date.accessioned2017-05-03T11:26:18Z
dc.date.available2017-05-03T11:26:18Z
dc.date.issued2007en_US
dc.date.modified2008-05-16T03:45:08Z
dc.identifier.issn19767587en_US
dc.identifier.urihttp://hdl.handle.net/10072/17617
dc.description.abstractFor the past decade, Radio-Frequency Identification (RFID) technology has gained a significant momentum. It has promised to improve the efficiency of supply chain and library management by providing the automatic identification and data capture. It is expected that RFID will replace a barcode system in the near future. However, a large volume of data, resulting from the fast capturing RFID readers and huge number of tags, poses challenges for data management. Some of the captured data have errors such as data duplication or miss reads. Existing techniques are unable to eliminate RFID data duplication while correctly identifying the correct location of the tag. In this study, a location filtering and duplication elimination for RFID data streams based on set theory are proposed. Experimental results show that the proposed method has better quality of output data and at the same time provides the exact location of the tag.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent249409 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherPAIST Pressen_US
dc.publisher.placeAuckland, New Zealanden_US
dc.publisher.urihttp://www.paist.org/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom29en_US
dc.relation.ispartofpageto43en_US
dc.relation.ispartofissue1en_US
dc.relation.ispartofjournalInternational Journal of Principles and Applications of Information Science and Technologyen_US
dc.relation.ispartofvolume1en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280108en_US
dc.titleLocation Filtering and Duplication Elimination for RFID Data Streamsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright remains with the authors 2007. This paper is posted here with permission of the copyright owner[s] for your personal use only. No further distribution permitted. For information about this journal please refer to the publisher's website.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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