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Mingyin Yao on Muck Rack

Mingyin Yao

As seen in: MDPI, Royal Society of Chemistry
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Articles

Online Identification and Classification of Gannan Navel Oranges with Cu contaminates by LIBS with IGA Optimized SVM

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By Lin Huang, Jiang Yan Xu, Mingyin Yao, Hua-Mao Zhou
| Royal Society of Chemistry Verified
Online Identification and Classification of Gannan Navel Oranges with Cu contaminates by LIBS with IGA Optimized SVM Lin Huang, Yangfan Chen, Jianbo Wang, Zhandong Cheng, Lei Tao, Hua-Mao Zhou, Jiang Xu, Mingyin Yao, Muhua Liu and Tianbing Chen Abstract Elements like minerals and heavy metals play important roles in nutrients and safety of agricultural products. It is necessary to develop rapid, online, real time and in-situ methods for monitoring the substances in farm products.
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Online Detection of Impurities in Corn Deep-Bed Drying Process Utilizing Machine Vision

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By Tao Li, Muhua Liu, Mingyin Yao, Jinjie Tong
| MDPI
Open AccessArticle by Tao Li 1, Jinjie Tong 2, Muhua Liu 1, Mingyin Yao 1, Zhifeng Xiao 1 and Chengjie Li 3,4,* 1 College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China 2 Jiangxi Institute of Science and Technology Information, Nanchang 330000, China 3 College of Engineering, South China Agricultural University, Guangzhou 510642, China 4 Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC V6T1Z3, Canada * Author to whom...
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Detection model of the plasma spectrum based on the polarization recognition rate induced by a low energy density laser

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By Jiang Yan Xu, Mingyin Yao, Muhua Liu, Xiao Wang
| optica.org
Abstract Laser-induced breakdown spectroscopy (LIBS) is a fast recognition method for heavy-metal detection. The recognition rate of the characteristic spectrum is related to the laser-induced energy. In order to analyze the polarization characteristics of plasma and the improvement mechanism of recognition rate under the condition of low energy density, a detection model of polarization recognition rate was established by exploring the intensity formula of discrete spectral data.
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