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首页> 外文期刊>Sensors Journal, IEEE >A Bio-Inspired Pattern Recognition System for Tin-Oxide Gas Sensor Applications
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A Bio-Inspired Pattern Recognition System for Tin-Oxide Gas Sensor Applications

机译：用于氧化锡气体传感器应用的生物启发式模式识别系统

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摘要

In this paper, a bio-inspired pattern recognition system for tin-oxide gas sensor applications is proposed. To mimic the biological olfactory system, temperature modulation is first used to virtually increase the number of sensors by periodically sampling the sensors'' response at different temperatures. A convex microhotplate is used in order to improve the thermal properties of the structure enabling efficient temperature modulation process to be carried out. Temperature modulation is shown to increase the number of effective sensors from 16 physically available sensors (integrated on a single chip) to 12 000 virtual sensors (VSs). This enables the emulation of a very large number of sensors typically found in biological systems. The response of each sensor is seen as a fingerprint map, which is further processed using various image processing techniques. Self organized maps (SOMs) algorithm is used to create a 2D map for each gas and to combine the huge number of VSs in order to reduce the dimensionality. Image moments are used as a feature enabling to characterize the spatial distribution within the image lattice and to retrieve the brighter regions in the SOM'' nodes exhibiting high activity to the input gas. Experiments on real sensors data show improved performance (96%) as compared with standard gas discrimination algorithms.
机译：本文提出了一种用于氧化锡气体传感器的生物启发模式识别系统。为了模仿生物嗅觉系统，首先通过在不同温度下定期采样传感器的响应，通过温度调制来虚拟地增加传感器的数量。为了改善结构的热性能，使用了凸形微热板，从而可以进行有效的温度调节过程。温度调制显示可以将有效传感器的数量从16个物理可用传感器（集成在单个芯片上）增加到12 to000个虚拟传感器（VS）。这使得能够仿真通常在生物系统中发现的大量传感器。每个传感器的响应被视为指纹图谱，可以使用各种图像处理技术对其进行进一步处理。自组织映射（SOM）算法用于为每种气体创建2D映射，并结合大量VS，以降低维数。图像矩用作特征，可表征图像晶格内的空间分布，并检索对输入气体表现出高活性的SOM''节点中较亮的区域。在真实传感器数据上进行的实验表明，与标准气体识别算法相比，该方法的性能有所提高（96％）。

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