@inproceedings{5eccccd2fdd24ce78174de7909fb998e,
title = "The implementation of preconcentrator in electronic nose system to identify low concentration of vapors using neural network method",
abstract = "Vapor identification system having high sensitive and discriminative capabilities is much needed in various applications such as in monitoring of environmental condition, detecting of hazardous substances, and producing of flavored foods or drinks and others. Nowadays, electronic nose technology which consists of gas sensor array and neural network pattern recognition could not recognize well for the low concentration vapors. In this research, the implementation of a preconcentrator was used to increase the vapor concentration allowing the electronic nose system to gain its high sensitivity and selectivity. The experimental result showed that the electronic nose system equipped with the preconcentrator could distinguish ethanol, benzene and acetone vapors in low concentrations successfully.",
keywords = "electronic nose, preconcentrator, selectivity, sensitivity",
author = "Muhammad Rivai and Talakua, \{Eddy Lybrech\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Information, Communication Technology and System, ICTS 2014 ; Conference date: 24-09-2014",
year = "2014",
doi = "10.1109/ICTS.2014.7010553",
language = "English",
series = "Proceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "31--36",
booktitle = "Proceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014",
address = "United States",
}