中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Principle component analysis and random forest based all-fiber activity monitoring

文献类型:会议论文

作者Han, Shuying1,2; Xu, Wei3,4; You, Shanhong2; Dong, Bo3,4; Yu, Changyuan5; Zhao, Wei3,4
出版日期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
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.Anlight Optoelectronic Technology Inc., Suzhou; 215123, China;
2.School of Electronic and Information Engineering, Soochow University, Suzhou; 215006, China;
3.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China;
4.University of Chinese Academy of Sciences, Beijing; 100049, China;
5.Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong
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.

入库方式: OAI收割

来源:西安光学精密机械研究所

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