Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107168
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Wang, J | - |
dc.creator | Xu, W | - |
dc.creator | Dong, B | - |
dc.creator | Yu, C | - |
dc.creator | Han, S | - |
dc.date.accessioned | 2024-06-13T01:04:20Z | - |
dc.date.available | 2024-06-13T01:04:20Z | - |
dc.identifier.isbn | 978-1-7281-2764-4 (Electronic) | - |
dc.identifier.isbn | 978-1-7281-2763-7 (USB) | - |
dc.identifier.isbn | 978-1-7281-2765-1 (Print on Demand(PoD)) | - |
dc.identifier.uri | http://hdl.handle.net/10397/107168 | - |
dc.description | 2019 18th International Conference on Optical Communications and Networks (ICOCN), 05-08 August 2019, Huangshan, China | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication J. Wang, W. Xu, B. Dong, C. Yu and S. Han, "Fiber-optic MZI activity monitoring based on RLS algorithm," 2019 18th International Conference on Optical Communications and Networks (ICOCN), Huangshan, China, 2019 is available at https://doi.org/10.1109/ICOCN.2019.8933918. | en_US |
dc.subject | Activity monitoring | en_US |
dc.subject | MZI | en_US |
dc.subject | RLS algorithm | en_US |
dc.title | Fiber-optic MZI activity monitoring based on RLS algorithm | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/ICOCN.2019.8933918 | - |
dcterms.abstract | A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (RLS) algorithm is performed to classify presence and absence activity states with accuracy higher than 98.5% within 1 second. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In Proceedings of 2019 18th International Conference on Optical Communications and Networks (ICOCN), 05-08 August 2019, Huangshan, China | - |
dcterms.issued | 2019 | - |
dc.identifier.scopus | 2-s2.0-85078573932 | - |
dc.relation.conference | International Conference on Optical Communications and Networks [ICOCN] | - |
dc.description.validate | 202403 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0337 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 26114385 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Yu_Fiber-Optic_Mzi_Activity.pdf | Pre-Published version | 559.93 kB | Adobe PDF | View/Open |
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