Classification and concentration estimation of CO and NO2 mixtures under humidity using neural network-assisted pattern recognition analysis
- Authors
- Kim, Jin-Young; Bharath, Somalapura Prakasha; Mirzaei, Ali; Kim, Hyoun Woo; Kim, Sang Sub
- Issue Date
- Oct-2023
- Publisher
- ELSEVIER
- Keywords
- CO; NO2; Gas sensors; Noble metal; Pattern recognition; Neural networks
- Citation
- JOURNAL OF HAZARDOUS MATERIALS, v.459, pp.1 - 16
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF HAZARDOUS MATERIALS
- Volume
- 459
- Start Page
- 1
- End Page
- 16
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191271
- DOI
- 10.1016/j.jhazmat.2023.132153
- ISSN
- 0304-3894
- Abstract
- This study addresses the concerns regarding the cross-sensitivity of metal oxide sensors by building an array of sensors and subsequently utilizing machine earning techniques to analyze the data from the sensor arrays. Sensors were built using In2O3 Au-ZnO, Au-SnO2, and Pt-SnO2 and they were operated simultaneously in the presence of 25 different concentrations of nitrogen dioxide (NO2), carbon monoxide (CO), and their mixtures. To investigate the effects of humidity, experiments were conducted to detect 13 distinct CO and NO2 gas combinations in atmospheres with 40% and 90% relative humidity. Principal component analysis was performed for the normalized resistance variation collected for a particular gas atmosphere over a certain period, and the results were used to train deep neural network-based models. The dynamic curves produced by the sensor array were treated as pixelated images and a convolutional neural network was adopted for classification. An accuracy of 100% was achieved using both models during cross-validation and testing. The results indicate that this novel approach can eliminate the time-consuming feature extraction process.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 신소재공학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.