Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU149747" target="_blank" >RIV/00216305:26220/24:PU149747 - isvavai.cz</a>
Result on the web
<a href="https://opg.optica.org/abstract.cfm?uri=OFS-2023-W4.39" target="_blank" >https://opg.optica.org/abstract.cfm?uri=OFS-2023-W4.39</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1364/OFS.2023.W4.39" target="_blank" >10.1364/OFS.2023.W4.39</a>
Alternative languages
Result language
angličtina
Original language name
Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification
Original language description
The paper introduces an enhanced method combining Φ-OTDR and CNNs for an accurate object classification for perimeter protection. The proposed approach achieves an accuracy of 91 % of common events in the optical fiber vicinity.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/VK01030121" target="_blank" >VK01030121: Middle range distributed fiber-optic sensing system for acoustic vibration and temperature monitoring on critical infrastructures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
In Prociideings of 28th International Conference on Optical Fiber Sensors
ISBN
978-1-957171-30-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
„“-„“
Publisher name
Neuveden
Place of publication
Hamamatsu, Japan
Event location
Hamamatsu
Event date
Nov 20, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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