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Interactive Visual Optimization and Analysis for RFID Benchmarking
November/December 2009 (vol. 15 no. 6)
pp. 1335-1342
ASCII Text
x 
 
Yingcai Wu, Ka-Kei Chung, Huamin Qu, Xiaoru Yuan, S.C. Cheung, "Interactive Visual Optimization and Analysis for RFID Benchmarking," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1335-1342, November/December, 2009.
 
 
BibTex
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@article{ 10.1109/TVCG.2009.156,
author = {Yingcai Wu and Ka-Kei Chung and Huamin Qu and Xiaoru Yuan and S.C. Cheung},
title = {Interactive Visual Optimization and Analysis for RFID Benchmarking},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1335-1342},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.156},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Interactive Visual Optimization and Analysis for RFID Benchmarking
IS - 6
SN - 1077-2626
SP1335
EP1342
EPD - 1335-1342
A1 - Yingcai Wu,
A1 - Ka-Kei Chung,
A1 - Huamin Qu,
A1 - Xiaoru Yuan,
A1 - S.C. Cheung,
PY - 2009
KW - Visual analytics
KW - Visualization
KW - RFID
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Yingcai Wu, The Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, Clear Water Bay,Kowloon, Hong Kong.
Ka-Kei Chung, The Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, Clear Water Bay,Kowloon, Hong Kong.
Huamin Qu, The Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, Clear Water Bay,Kowloon, Hong Kong.
Xiaoru Yuan, The Key Laboratory of Machine Perceptio (Ministry of Education) and School of EECS, Peking University, Beijing, P.R. China
S.C. Cheung, The Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, Clear Water Bay,Kowloon, Hong Kong.
Radio frequency identification (RFID) is a powerful automatic remote identification technique that has wide applications. To facilitate RFID deployment, an RFID benchmarking instrument called aGate has been invented to identify the strengths and weaknesses of different RFID technologies in various environments. However, the data acquired by aGate are usually complex time varying multidimensional 3D volumetric data, which are extremely challenging for engineers to analyze. In this paper, we introduce a set of visualization techniques, namely, parallel coordinate plots, orientation plots, a visual history mechanism, and a 3D spatial viewer, to help RFID engineers analyze benchmark data visually and intuitively. With the techniques, we further introduce two workflow procedures (a visual optimization procedure for finding the optimum reader antenna configuration and a visual analysis procedure for comparing the performance and identifying the flaws of RFID devices) for the RFID benchmarking, with focus on the performance analysis of the aGate system. The usefulness and usability of the system are demonstrated in the user evaluation.

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Index Terms:
Visual analytics, Visualization, RFID
Citation:
Yingcai Wu, Ka-Kei Chung, Huamin Qu, Xiaoru Yuan, S.C. Cheung, "Interactive Visual Optimization and Analysis for RFID Benchmarking," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1335-1342, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.156
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