Cleansing indoor RFID data using regular expressions

Asif Iqbal Baba, Hua Lu, Wei-Shinn Ku, Torben Bach Pedersen

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstract

RFID (Radio Frequency Identification)-based object tracking is increasingly deployed and used in indoor environments such as airports, shopping malls, etc. However, the inherent noise in the raw RFID data makes it difficult to support queries and analyses on the data. In this paper, we propose an RFID data cleansing based on regular expressions. We generate the regular expressions in an automaton that captures all possible indoor paths from the spatial and temporal aspects of indoor space and deployed readers. Given the raw data of an object, the proposed matching algorithm finds all the matching paths using the automaton. We evaluate the proposed approach by conducting experimental studies using real dataset. The results demonstrate the effectiveness of the propose approach.
OriginalsprogEngelsk
TitelProceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016 : (ACM SIGSPATIAL GIS 2015)
RedaktørerMohammed Eunus Ali, Shawn D. Newsam, Siva Ravada, Matthias Renz, Goce Trajcevski
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato2016
Artikelnummer77
ISBN (Elektronisk)9781450345897
DOI
StatusUdgivet - 2016
Udgivet eksterntJa
Begivenhed24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - San Francisco, USA
Varighed: 31 okt. 20163 nov. 2016
Konferencens nummer: 24
http://sigspatial2016.sigspatial.org/

Konference

Konference24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Nummer24
LandUSA
BySan Francisco
Periode31/10/201603/11/2016
Internetadresse

Citer dette

Baba, A. I., Lu, H., Ku, W-S., & Pedersen, T. B. (2016). Cleansing indoor RFID data using regular expressions. I M. E. Ali, S. D. Newsam, S. Ravada, M. Renz, & G. Trajcevski (red.), Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016: (ACM SIGSPATIAL GIS 2015) [77] Association for Computing Machinery. https://doi.org/10.1145/2996913.2996979