Trains Detection Using State of Polarization Changes Measurement and Convolutional Neural Networks

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dc.contributor.authorDejdar, Petrcs
dc.contributor.authorMyška, Vojtěchcs
dc.contributor.authorMünster, Petrcs
dc.contributor.authorBurget, Radimcs
dc.date.accessioned2021-11-30T15:56:21Z
dc.date.available2021-11-30T15:56:21Z
dc.date.issued2021-05-25cs
dc.description.abstractFiber optic infrastructure security is of growing interest. The current distributed sensor systems are robust and expensive solutions, and their practical applications are uncommon. Research into simple and cost-effective solutions based on changes in the state of polarization is crucial. This paper expands the use of a vibration sensor based on the sensing of rapid changes in the state of polarization (SOP) of light in a standard single-mode optical fiber by using a convolutional neural network to detect trains running along the optical fiber infrastructure. It is a simple system that determines ongoing events near the optical fiber route by simply determining the signal boundaries that define the idle state. By using a neural network, it is possible to eliminate the distortion caused by the temperature changes and, for example, to improve detection in the the zones where the vibrations are not strong enough for a simple threshold resolution.en
dc.formattextcs
dc.format.extent1-4cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citation2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Proceedings. 2021, p. 1-4.en
dc.identifier.doi10.1109/INERTIAL51137.2021.9430469cs
dc.identifier.isbn978-1-7281-5099-4cs
dc.identifier.other171700cs
dc.identifier.urihttp://hdl.handle.net/11012/203013
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartof2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Proceedingscs
dc.relation.urihttps://ieeexplore.ieee.org/document/9430469cs
dc.rights(C) IEEEcs
dc.rights.accessopenAccesscs
dc.subjectartificial intelligenceen
dc.subjectmachine learningen
dc.subjectoptical fiber sensoren
dc.subjectstate of polarization changesen
dc.subjectvibrationen
dc.titleTrains Detection Using State of Polarization Changes Measurement and Convolutional Neural Networksen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen
sync.item.dbidVAV-171700en
sync.item.dbtypeVAVen
sync.item.insts2021.11.30 16:56:21en
sync.item.modts2021.11.30 16:15:22en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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