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Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors
Abstract
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.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 39th International Microelectronics and Packaging IMAPS Poland 2015 Conference strony 1 - 6
- ISSN:
- 1757-8981
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Lentka Ł., Smulko J..: Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors, W: 39th International Microelectronics and Packaging IMAPS Poland 2015 Conference, 2015, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1088/1757-899x/104/1/012032
- Verified by:
- Gdańsk University of Technology
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