In this Letter, we investigate the correlation rate of a random sequence data set which is collected by RFID (Radio Frequency IDentification) readers in an indoor location. Using a passive RFID tag introduces reading error, which causes a loss of original data. From the question of how sensing errors of RFID readers affect the location prediction algorithm used for context awareness services at home, we analyze the correlation rate of a collected data set with respect to RFID reader-sensing error rate. Through our analysis, we conclude that the prediction accuracy can be better or worse than the one of the original data streams according to the error rate. We suggest that the reader specification has to be satisfied by the error boundary which is found in this work for the tolerant location prediction.
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June HWANG, Seong-Lyun KIM, "Effect of Reading Errors on Location Prediction in RFID Indoor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 2, pp. 567-571, February 2008, doi: 10.1093/ietcom/e91-b.2.567.
Abstract: In this Letter, we investigate the correlation rate of a random sequence data set which is collected by RFID (Radio Frequency IDentification) readers in an indoor location. Using a passive RFID tag introduces reading error, which causes a loss of original data. From the question of how sensing errors of RFID readers affect the location prediction algorithm used for context awareness services at home, we analyze the correlation rate of a collected data set with respect to RFID reader-sensing error rate. Through our analysis, we conclude that the prediction accuracy can be better or worse than the one of the original data streams according to the error rate. We suggest that the reader specification has to be satisfied by the error boundary which is found in this work for the tolerant location prediction.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.2.567/_p
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@ARTICLE{e91-b_2_567,
author={June HWANG, Seong-Lyun KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Effect of Reading Errors on Location Prediction in RFID Indoor Networks},
year={2008},
volume={E91-B},
number={2},
pages={567-571},
abstract={In this Letter, we investigate the correlation rate of a random sequence data set which is collected by RFID (Radio Frequency IDentification) readers in an indoor location. Using a passive RFID tag introduces reading error, which causes a loss of original data. From the question of how sensing errors of RFID readers affect the location prediction algorithm used for context awareness services at home, we analyze the correlation rate of a collected data set with respect to RFID reader-sensing error rate. Through our analysis, we conclude that the prediction accuracy can be better or worse than the one of the original data streams according to the error rate. We suggest that the reader specification has to be satisfied by the error boundary which is found in this work for the tolerant location prediction.},
keywords={},
doi={10.1093/ietcom/e91-b.2.567},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Effect of Reading Errors on Location Prediction in RFID Indoor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 567
EP - 571
AU - June HWANG
AU - Seong-Lyun KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.2.567
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2008
AB - In this Letter, we investigate the correlation rate of a random sequence data set which is collected by RFID (Radio Frequency IDentification) readers in an indoor location. Using a passive RFID tag introduces reading error, which causes a loss of original data. From the question of how sensing errors of RFID readers affect the location prediction algorithm used for context awareness services at home, we analyze the correlation rate of a collected data set with respect to RFID reader-sensing error rate. Through our analysis, we conclude that the prediction accuracy can be better or worse than the one of the original data streams according to the error rate. We suggest that the reader specification has to be satisfied by the error boundary which is found in this work for the tolerant location prediction.
ER -