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Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN

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CODS-COMAD '23: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

Pages 276 - 277

https://doi.org/10.1145/3570991.3571003

Published: 04 January 2023 Publication History

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Abstract

In this work, a multi-class classifier based on Markov transition field (MFT) and convolutional neural network (CNN) is developed for discrimination and authentication of water samples belonging to six bottled water brands (Aquafina (AF), Bisleri (BS), Kingfisher (KF), Oasis (OS), Dolphin (DL) and McDowell (MD)) existing in Indian market. Electronic tongue artificially tastes the water samples and generates current waveforms (CWFs), which are turned into two-dimensional (2D) images by using MFT. The CNN model trained on the MFT images predicts class labels, for unknown water samples, with low misclassification rate.

References

[1]

Podrażka M., Bączyńska E., Kundys M., Jeleń P. S. and Witkowska Nery E. 2017. Electronic tongue-a tool for all tastes. Biosensors, 8, 3.

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Palash K. Kund, P.C. Panchariya and Madhusree Kundu. 2011. Classification and authentication of unknown water samples using machine learning algorithms. ISA Transactions, 50, 487-495.

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Seshu K. Damarla, Xiuli Zhu and Madhusree Kundu. 2021. Classification and authentication of mineral water samples using electronic tongue and deep neural networks. In Proceedings of IEEE CogMI-2022, University of Pittsburgh, US.

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Zhiguang Wang and Tim Oates. 2015. Imaging time-series to improve classification and imputation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina

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Ian Goodfellow, Yoshua Bengio and Aaron Courville. 2016. Deep learning. MIT Press, US.

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CODS-COMAD '23: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

January 2023

357 pages

ISBN:9781450397971

DOI:10.1145/3570991

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 04 January 2023

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CODS-COMAD 2023

CODS-COMAD 2023: 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)

January 4 - 7, 2023

Mumbai, India

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Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE

Pantura Water Quality: Comparing the Pollution Distribution Model of Comal River and Garang River

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