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Review on Data Acquisition and Processing on E-nose

机译:电子鼻数据采集与处理研究述评

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摘要

With the increasing innovations in sensor module in almost all the fields of Information and Communication Technologies [ICT], this research work proposes a new device called Electronic nose (E-nose). The proposed module employs sensors to identify the chemical components of various odour and flavour. Additionally, the paper also discusses about the available various types of sensors. Machine learning [ML] algorithm called Support Vector Machine (SVM) is employed for classification purpose and it appears as a two-class problem. Research work mentioned in this paper is carried out in SIT research laboratory for conducting gas sensor, and further the current vs. voltage (I-V) graph is plotted based on the research done and finally the results are concluded.
机译:随着信息和通信技术[ICT]几乎所有领域中传感器模块的不断创新,这项研究工作提出了一种称为电子鼻(E-nose)的新设备。提议的模块采用传感器来识别各种气味和味道的化学成分。此外,本文还讨论了可用的各种类型的传感器。机器学习[ML]算法(称为支持向量机(SVM))用于分类目的,它表现为两类问题。本文提到的研究工作是在SIT研究实验室中进行的,用于进行气体传感器的研究,并根据所做的研究绘制了电流-电压(I-V)图,最后得出了结论。

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