Abstract
When a gas is passed over a chemically sensitive layer, its electrical properties change due to adsorption of gas molecules. This phenomenon is implied in thin film sensors. To improve the sensitivity and selectivity of sensors, a parametric modeling approach is preferred. In this, the parameters affecting sensor response are varied, and the sensor response is acquired for developing a model based on variation of parameters. The developed model suggests changes in sensor design and operating parameters, enhancing sensor performance for detecting explosives. A system in which the parameters of temperature, cycle time, and gas concentration can be varied is implemented using an embedded system approach. To facilitate the development of model, the sensor response is made available in comma-separated values. Also, a real-time plot of the sensor response is made available for identification of presence of a nitroaromatic explosive.
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Ramdasi, D., Mudhalwadkar, R. (2018). Parameter-Controlled Gas Sensor System for Sensor Modeling. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 563. Springer, Singapore. https://doi.org/10.1007/978-981-10-6872-0_43
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DOI: https://doi.org/10.1007/978-981-10-6872-0_43
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