THE IMPLEMENTATION OF PRECONCENTRATOR IN ELECTRONIC NOSE SYSTEM TO IDENTIFY LOW CONCENTRATION OF VAPORS USING NEURAL NETWORK METHOD

Rivai, Muhammad and Talakua, Eddy Lybrech (2014) THE IMPLEMENTATION OF PRECONCENTRATOR IN ELECTRONIC NOSE SYSTEM TO IDENTIFY LOW CONCENTRATION OF VAPORS USING NEURAL NETWORK METHOD. Proceeding The 8th International Conference on Information, Communication Technology and System (ICTS) 2014. pp. 31-36. ISSN 2338-185X

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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

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	PROSIDING & Call for Papers > Call For Papers
Depositing User:	HROD HROD
Date Deposited:	12 Apr 2019 03:47
Last Modified:	15 Apr 2019 02:21
URI:	http://repository.widyakartika.ac.id/id/eprint/812

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