TY - GEN
T1 - Gas concentration analysis of resistive gas sensor array
AU - Wijaya, Dedy Rahman
AU - Sarno, Riyanarto
AU - Zulaika, Enny
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/24
Y1 - 2017/3/24
N2 - The concept of Mobile Electronic Nose (MoLen) is very promising for Sensing as a Service (S2aaS) applications. In Internet of Things (IoT) era, MoLen can be implemented in many real-world applications such as food quality assessment, medical applications, gas leakage detection, home or automotive safety system, environment monitoring, etc. The most important component of MoLen is gas sensor array used to detect and to collect the odor data. In this study, the resistive gas sensor is used to detect various gasses associated with beef spoilage. Metal-Oxide Semiconductor (MOS) gas sensor is one example of resistive gas sensor which is utilized to arrange MoLen gas sensor array. This work has following contributions to assist researchers and practitioners for MoLen applications. First, the mathematical model is proposed to analyze various gas concentrations based on low-cost MOS gas sensor. Second, we demonstrate gas sensor response and MoLen capability to detect various gasses associated with beef spoilage based on proposed model. The experimental result shows that the MoLen and the proposed model are feasible to be implemented for real-world applications.
AB - The concept of Mobile Electronic Nose (MoLen) is very promising for Sensing as a Service (S2aaS) applications. In Internet of Things (IoT) era, MoLen can be implemented in many real-world applications such as food quality assessment, medical applications, gas leakage detection, home or automotive safety system, environment monitoring, etc. The most important component of MoLen is gas sensor array used to detect and to collect the odor data. In this study, the resistive gas sensor is used to detect various gasses associated with beef spoilage. Metal-Oxide Semiconductor (MOS) gas sensor is one example of resistive gas sensor which is utilized to arrange MoLen gas sensor array. This work has following contributions to assist researchers and practitioners for MoLen applications. First, the mathematical model is proposed to analyze various gas concentrations based on low-cost MOS gas sensor. Second, we demonstrate gas sensor response and MoLen capability to detect various gasses associated with beef spoilage based on proposed model. The experimental result shows that the MoLen and the proposed model are feasible to be implemented for real-world applications.
KW - Beef quality detection
KW - Gas sensor response
KW - Mathematical model for gas analysis
KW - Mobile electronic nose
UR - http://www.scopus.com/inward/record.url?scp=85018247329&partnerID=8YFLogxK
U2 - 10.1109/ISESD.2016.7886744
DO - 10.1109/ISESD.2016.7886744
M3 - Conference contribution
AN - SCOPUS:85018247329
T3 - 2016 International Symposium on Electronics and Smart Devices, ISESD 2016
SP - 337
EP - 342
BT - 2016 International Symposium on Electronics and Smart Devices, ISESD 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Symposium on Electronics and Smart Devices, ISESD 2016
Y2 - 29 November 2016 through 30 November 2016
ER -