移动机器人气体类型判别的最优核分类器

2018 International Conference on Electrical Engineering and Computer Science (ICECOS) Pub Date : 2018-10-01 DOI:10.1109/ICECOS.2018.8605252

N. Husni, M. A. Muhaajir, E. Prihatini, A. Silvia, S. Nurmaini, I. Yani

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引用次数: 0

摘要

使用TGS传感器和Arduino可以创建一个能够检测和分类某些气体的机器人。在本研究中，研究了3种支持向量机核分类器。装有3个TGS传感器的机器人被用来对甲醇和丙酮进行分类。Xbee模块作为机器人与服务器之间的通信媒介。机器人在实验环境中运行。当他们探测到气体时，他们会靠近气源并对气体类型进行分类。然后将分类的气体数据发送到服务器。研究表明，多项式和RBF对甲醇和丙酮的分类效果更好。

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Optimal Kernel Classifier in Mobile Robots for Determining Gases Type

The use of TGS sensor and Arduino could create a robot to be capable of detecting and classifying some gases. In this research, 3 kinds of SVM Kernel Classifiers are investigated. Robots equipped with 3 TGS sensors are used to classify methanol and acetone. Xbee modul is used as a communication medium between robots and server. The robots are run in the experimental environment. When they detect the gas, they will get closer to the source and classify the gas type. The classified gas data is then sent to the server. From this research, it can concluded that polynomial and RBF have better performance in classifying methanol and acetone.

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2018 International Conference on Electrical Engineering and Computer Science (ICECOS)

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