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.
Originalsprog | Engelsk |
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Titel | 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) |
Redaktører | Mohammed Eunus Ali, Shawn D. Newsam, Siva Ravada, Matthias Renz, Goce Trajcevski |
Antal sider | 4 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2016 |
Artikelnummer | 77 |
ISBN (Elektronisk) | 9781450345897 |
DOI | |
Status | Udgivet - 2016 |
Udgivet eksternt | Ja |
Begivenhed | 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - San Francisco, USA Varighed: 31 okt. 2016 → 3 nov. 2016 Konferencens nummer: 24 http://sigspatial2016.sigspatial.org/ |
Konference
Konference | 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems |
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Nummer | 24 |
Land | USA |
By | San Francisco |
Periode | 31/10/2016 → 03/11/2016 |
Internetadresse |