Title | ||
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Fiber Fault Monitoring for Passive Optical Network using a Kernel-Based Support Vector Machine |
Abstract | ||
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In order to avoid service level agreement violation in a passive optical network, effective failure detection and localization is of paramount importance for early fault identification. In this paper, we focus on a technique that can be used to detect and identify a failure in the physical layer using fiber Bragg grating (FBG) sensor integrated with machine learning (ML) technology. A kernel-based... |
Year | DOI | Venue |
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2021 | 10.1109/APCC49754.2021.9609856 | 2021 26th IEEE Asia-Pacific Conference on Communications (APCC) |
Keywords | DocType | ISSN |
Passive Optical Network,Support vector Machine,FBG Sensor,GPON | Conference | 2163-0771 |
ISBN | Citations | PageRank |
978-1-7281-7254-5 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Auwalu Usman | 1 | 0 | 0.34 |
Nadiatulhuda Zulkifli | 2 | 15 | 3.54 |
Mohd Rashidi Salim | 3 | 0 | 0.68 |
K. Khairi | 4 | 0 | 1.01 |