THE METHOD OF BASELINE MANIPULATION TO OVERCOME THE SENSOR DRIFT ON GAS SENSOR TEST FOR HERBAL DRINKS DISCRIMINATION
Kuwat Triyana, Jurusan Fisika, Fakultas MIPA, Universitas Gadjah Mada, Yogyakarta Grup Riset Halal, Universitas Gadjah Mada, Yogyakarta, Indonesia
Abstract
Abstract
Gas sensor system is widely used for the detection of aroma. The main problem in this system is the sensor drift that makes poor reproducibility of the sensor. The reproducibility of the sensor can be improved by applying the feature selection of the sensor’s output response and baseline manipulation. This research focused on determining methods that can reduce the dift sensor of gas sensor by using basaeline manipulation and selecting the optimal type of baseline manipulation when gas sensor system detects three different types of herbal drinks. The data that have been feature selected were then applied to three different types of baseline manipulation (differential, relative and fractional) and inserted into the pattern recognition system, Principal Component Analysis (PCA). From the analysis of PCA baseline manipulation that gives optimal results is differential one with the value of PC1 82.71%. This shows that differential baseline manipulation is effective in reducing the occurrence of sensor drift.
Keywords: electronic nose, gas sensor, baseline manipulation, feature selection
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Polikar R., Shinar R., Honavar V., Udpa L., Porter, M.D., “Detection And Identification Of Odorants Using An Electronic Nose”, Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). IEEE International Conference on Environment and Engineering
Jun Z., Yu.X.L, Wei W., Zhu Z. Wei Zi., Wu X., 2009 “Determination Freshwater Fish Freshness with Gas Sensor Array”. IEEE World Congress on Computer Science and Information Engineering.
Haugen J.E., Tomic O., Kvaal K., 2000, A calibration method for handling the temporal drift of solid state gas-sensors, Analytica Chimica Acta, Volume 407, Issues 1-2, Elsevier Science
Tomic O., Ulmer H., Haugen J.E., 2002, Standardization methods for handling instrument related signal shift in gas-sensor array measurement data, Analytica Chimica Acta, Volume 472, Issues 1-2, Elsevier Science,
Schiffman, S.S., Gutierrez-Osuna, R., Nagle, H. T., Kermani, B., 2003, Handbook of Machine Olfaction, WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Guyon, I., dan E. Andre. 2007, “An Introduction to Feature Extraction”, Volume 207 of the series Studies in Fuzziness and Soft Computing pp 1-25
Mallikarjunan P., Irudayaraj, J. and Reh, C. 2008, Nondestructive Testing of Food Quality, Blackwell Publishing Professional USA
Shlens, J. 2009, A Tutorial on Principal Component Analysis, New York University, New York
DOI: https://doi.org/10.21831/jsd.v5i1.12667
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