Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors

39th International Microelectronics and Packaging IMAPS Poland 2015 Conference

无线电电子学

Lentka, L.^1 ; Smulko, J.^1

Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland^1

关键词: Fluctuation-enhanced sensing;    Gas detection;    Gas sensing;    Input data vector;    Mobile gas;    Resistance fluctuation;    Resistive gas sensors;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/104/1/012032/pdf
DOI  :  10.1088/1757-899X/104/1/012032

来源: IOP

【 摘 要 】

This paper considers complexity and accuracy of data processing for gas detection using resistance fluctuation data observed in resistance gas sensors. A few selected methods were considered (Principal Component Analysis - PCA, Support Vector Machine - SVM). Functions like power spectral density or histogram were used to create input data vector for these algorithms from the observed resistance fluctuations. The presented considerations are important for proposing relatively cheap and mobile gas detection devices of limited computations abilities and utilizing fluctuation enhanced gas sensing method.