Gas identification system based on temperature modulation tin-oxide sensors and bio-inspired processing

A. Far, F. Flitti, B. Guo, A. Bermak
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引用次数: 5

Abstract

This paper presents a gas identification system for electronic nose inspired from the biological olfactory system. Temperature modulation is first used to virtually boost the number of sensors by periodically sampling the sensorspsila response at different temperatures. Convex tin-oxide sensor technology is used to increase the thermal efficiency of our in-house gas sensors. The response of each sensor is seen as a fingerprint map which is further processed using various image processing techniques. Indeed, SOM algorithm is used to create a 2D map for each gas and the image moments are calculated to retrieve the blighter regions in the SOMpsilas nodes that show high activity to the input gas. The obtained results using the proposed technique are very encouraging.
基于温度调制氧化锡传感器和仿生处理的气体识别系统
本文提出了一种以生物嗅觉系统为灵感的电子鼻气体识别系统。温度调制首先用于通过周期性采样传感器在不同温度下的响应来增加传感器的数量。凸锡氧化物传感器技术用于提高我们内部气体传感器的热效率。每个传感器的响应被看作是一个指纹图,使用各种图像处理技术进一步处理。实际上,SOM算法用于为每种气体创建2D地图,并计算图像矩,以检索SOMpsilas节点中对输入气体显示高活性的较亮区域。使用该技术获得的结果是非常令人鼓舞的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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