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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