Principle component analysis and random forest based all-fiber activity monitoring
Han, Shuying3,4; Xu, Wei2,5; You, Shanhong3; Dong, Bo2,5; Yu, Changyuan1; Zhao, Wei2,5
2019-11
会议日期2019-11-02
会议地点No. 1736 Tianfu Avenue North, Chengdu, China
卷号2019-November
英文摘要

An activity monitoring algorithm based on principle component analysis and random forest is proposed, identifying three kinds of activities obtained from Mach-Zehnder interferometer with accuracy of 99.5% within one second, namely, normal, nobody and movement. Asia Communications and Photonics Conference (ACP) © OSA 2019

产权排序2
会议录2019 Asia Communications and Photonics Conference, ACP 2019 - Proceedings
会议录出版者OSA - The Optical Society
语种英语
ISSN号2162108X
ISBN号9781943580705
WOS记录号WOS:000542671100477
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/93273]  
专题西安光学精密机械研究所_瞬态光学技术国家重点实验室
通讯作者You, Shanhong
作者单位1.Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong
2.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China;
3.School of Electronic and Information Engineering, Soochow University, Suzhou; 215006, China;
4.Anlight Optoelectronic Technology Inc., Suzhou; 215123, China;
5.University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式
GB/T 7714
Han, Shuying,Xu, Wei,You, Shanhong,et al. Principle component analysis and random forest based all-fiber activity monitoring[C]. 见:. No. 1736 Tianfu Avenue North, Chengdu, China. 2019-11-02.
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