Pattern Recognition Applied to Analysis of Gas Sensors' Array Data

• Authors: P. Marczyński , A. Szpakowski , C. Tyszkiewicz , T. Pustelny
• Languages of publication: EN

Abstracts

EN

For an array of eight chemoresistive gas sensors a computer pattern recognition system was built. Multivariate data analysis was performed for measurements of three gases' dilutions: hydrogen (H_2), methane (CH_4), and carbon monoxide (CO). The pattern recognition system included a feature subset selection algorithm involving PCA and objective function. Dimensionality reduction was applied to two kinds of patterns: three aforementioned gases and six different concentrations of hydrogen. For patterns of the three gases, classification tests were performed using k-NN algorithm and N-fold based validation method.

Keywords

EN

02.50.Sk; 07.07.Df

Discipline

• 07.07.Df: Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
• 02.50.Sk: Multivariate analysis

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2012
• Volume: 122
• Issue: 5
• Pages: 847-849

Dates

published

2012-11

Contributors

author

P. Marczyński

• Department of Optoelectronics, Silesian University of Technology, B. Krzywoustego 2, 44-100 Gliwice, Poland

author

A. Szpakowski

• Department of Optoelectronics, Silesian University of Technology, B. Krzywoustego 2, 44-100 Gliwice, Poland

author

C. Tyszkiewicz

• Department of Optoelectronics, Silesian University of Technology, B. Krzywoustego 2, 44-100 Gliwice, Poland

author

T. Pustelny

• Department of Optoelectronics, Silesian University of Technology, B. Krzywoustego 2, 44-100 Gliwice, Poland

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Identifiers

DOI

10.12693/APhysPolA.122.847