PMID- 36696118
OWN - NLM
STAT- MEDLINE
DCOM- 20230227
LR  - 20230307
IS  - 2379-3694 (Electronic)
IS  - 2379-3694 (Linking)
VI  - 8
IP  - 2
DP  - 2023 Feb 24
TI  - Several ML Algorithms and Their Feature Vector Design for Gas Discrimination and 
      Concentration Measurement with an Ultrasonically Catalyzed MOX Sensor.
PG  - 665-672
LID - 10.1021/acssensors.2c02159 [doi]
AB  - Although gas-borne ultrasound catalysis has been developed as a new method to 
      discriminate gas species and measure the concentration, applications of machine 
      learning methods in gas analyses with a single metal oxide (MOX) gas sensor 
      catalyzed by gas-borne ultrasound are still scarce. In this work, with an 
      ultrasonically catalyzed MOX gas sensor, we explored the effectiveness of 
      K-nearest neighbors (KNN), support vector machine (SVM), and single-hidden-layer 
      BP-ANN (SHBP) in gas discrimination and the application of the SHBP in 
      concentration measurement. The target gases in this work are ethanol, acetone, 
      methanol, hydrogen, and n-butane in clean air, respectively, and the 
      discrimination and concentration regression are implemented by two different ML 
      models. With the properly designed feature vectors, the SHBP method has an 
      acceptable capability of both of species discrimination and concentration 
      regression (success rate of gas discrimination = 99.5%, relative error of 
      concentration regression = 6.406%). The KNN and SVM methods have similar 
      capabilities of gas discrimination as the SHBP. This work also demonstrates a 
      method to design the feature vectors for the ultrasonically catalyzed MOX gas 
      sensor and to choose the feature parameters.
FAU - Zhang, Tianyu
AU  - Zhang T
AUID- ORCID: 0000-0003-2192-7895
AD  - State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing 
      University of Aeronautics and Astronautics, Nanjing210000, China.
FAU - Lin, Shun
AU  - Lin S
AD  - State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing 
      University of Aeronautics and Astronautics, Nanjing210000, China.
FAU - Zhou, Yuchen
AU  - Zhou Y
AD  - State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing 
      University of Aeronautics and Astronautics, Nanjing210000, China.
FAU - Hu, Junhui
AU  - Hu J
AUID- ORCID: 0000-0002-9811-5863
AD  - State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing 
      University of Aeronautics and Astronautics, Nanjing210000, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230125
PL  - United States
TA  - ACS Sens
JT  - ACS sensors
JID - 101669031
RN  - 0 (Gases)
RN  - 0 (Oxides)
RN  - 7YNJ3PO35Z (Hydrogen)
SB  - IM
MH  - *Algorithms
MH  - *Gases/analysis
MH  - Machine Learning
MH  - Oxides
MH  - Hydrogen
OTO - NOTNLM
OT  - MOX gas sensor
OT  - concentration measurement
OT  - feature vector
OT  - gas discrimination
OT  - machine learning
EDAT- 2023/01/26 06:00
MHDA- 2023/03/03 06:00
CRDT- 2023/01/25 11:33
PHST- 2023/01/26 06:00 [pubmed]
PHST- 2023/03/03 06:00 [medline]
PHST- 2023/01/25 11:33 [entrez]
AID - 10.1021/acssensors.2c02159 [doi]
PST - ppublish
SO  - ACS Sens. 2023 Feb 24;8(2):665-672. doi: 10.1021/acssensors.2c02159. Epub 2023 
      Jan 25.