@article{ART002149104},
author={Sang-Il Choi},
title={Combined Features with Global and Local Features for Gas Classification},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2016},
volume={21},
number={9},
pages={11-18}
TY - JOUR
AU - Sang-Il Choi
TI - Combined Features with Global and Local Features for Gas Classification
JO - Journal of The Korea Society of Computer and Information
PY - 2016
VL - 21
IS - 9
PB - The Korean Society Of Computer And Information
SP - 11
EP - 18
SN - 1598-849X
AB - In this paper, we propose a gas classification method using combined features for an electronic nose system that performs well even when some loss occurs in measuring data samples. We first divide the entire measurement for a data sample into three local sections, which are the stabilization, exposure, and purge; local features are then extracted from each section. Based on the discrimination analysis, measurements of the discriminative information amounts are taken. Subsequently, the local features that have a large amount of discriminative information are chosen to compose the combined features together with the global features that extracted from the entire measurement section of the data sample. The experimental results show that the combined features by the proposed method gives better classification performance for a variety of volatile organic compound data than the other feature types, especially when there is data loss.
KW - Gas classification;Electronic nose;Discriminant analysis;Global feature;Local feature;Feature selection;Combined feature
DO -
UR -
ER -
Sang-Il Choi. (2016). Combined Features with Global and Local Features for Gas Classification. Journal of The Korea Society of Computer and Information, 21(9), 11-18.
Sang-Il Choi. 2016, "Combined Features with Global and Local Features for Gas Classification", Journal of The Korea Society of Computer and Information, vol.21, no.9 pp.11-18.
Sang-Il Choi "Combined Features with Global and Local Features for Gas Classification" Journal of The Korea Society of Computer and Information 21.9 pp.11-18 (2016) : 11.
Sang-Il Choi. Combined Features with Global and Local Features for Gas Classification. 2016; 21(9), 11-18.
Sang-Il Choi. "Combined Features with Global and Local Features for Gas Classification" Journal of The Korea Society of Computer and Information 21, no.9 (2016) : 11-18.
Sang-Il Choi. Combined Features with Global and Local Features for Gas Classification. Journal of The Korea Society of Computer and Information, 21(9), 11-18.
Sang-Il Choi. Combined Features with Global and Local Features for Gas Classification. Journal of The Korea Society of Computer and Information. 2016; 21(9) 11-18.
Sang-Il Choi. Combined Features with Global and Local Features for Gas Classification. 2016; 21(9), 11-18.
Sang-Il Choi. "Combined Features with Global and Local Features for Gas Classification" Journal of The Korea Society of Computer and Information 21, no.9 (2016) : 11-18.