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![]() ![]() |
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
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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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