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CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element

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CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)

Pages 588 - 589

https://doi.org/10.1145/3632410.3632492

Published: 04 January 2024 Publication History

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Abstract

In the present work, a multifunction sensor is developed using convolutional neural network (CNN) and multiple linear regression to measure temperature and pressure simultaneously. First, the hardware sensor is built using piezo-resistive material. When the hardware sensor is excited by electric signals, it produces an aggregated output (emf). A hybrid CNN and MLR based approach is devised to extract temperature and pressure values from the aggregated output.

References

[1]

C Pramanik, H Saha and U Gangopadhyay, An integrated pressure and temperature sensor based on nanocrystalline porous silicon, Journal of Micromechanics and Microengineering, 16, 2006, pp. 1340–1348.

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[2]

Alessandra Flammini, Daniele Marioli, Andrea Taroni, Application of an Optimal Look-up Table to Sensor Data Processing, IEEE Transaction on Instrumentation and Measurement, Vol. 48, No. 4, August, 1999, pp. 813-816.

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[3]

Jinwei Sun, Katsunori Shida, Multilayer Sensing and Aggregation Approach to Environmental Perception with One Multifunctional Sensor, IEEE Sensors Journal, Vol. 2, No. 2, April, 2002, pp. 62-72.

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CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element

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CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)

January 2024

627 pages

ISBN:9798400716348

DOI:10.1145/3632410

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

New York, NY, United States

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Published: 04 January 2024

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CODS-COMAD 2024

CODS-COMAD 2024: 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)

January 4 - 7, 2024

Bangalore, India

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A resistive sensing and dual-slope ADC based smart temperature sensor

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