Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6205
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maral, Hakan | - |
dc.contributor.author | Akgün, Toygar | - |
dc.contributor.author | Aktaş, Metin | - |
dc.date.accessioned | 2021-09-11T15:35:17Z | - |
dc.date.available | 2021-09-11T15:35:17Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.citation | 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY | en_US |
dc.identifier.isbn | 978-1-5386-1501-0 | - |
dc.identifier.issn | 2165-0608 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6205 | - |
dc.description.abstract | In this paper, an adaptive power thresholding approach for real time treat detection on fiber optic based distributed acoustic sensing systems is presented. Since, the measured signal magnitude changes due to the optical system internal mechanisms and physical activities applied near the fiber optic cable and there is no approved statistical signal model, signal statistics are generated from the captured data directly. Since, it is not known a priori that the captured data contains only noise or noisy activity data, power threshold is computed by applying two step statistical model approach. To do this, first and second order Gaussian mixture models are tested and the most appropriate is used for computing power threshold. Additionally, the update mechanism of power thresholding is explained and the execution time of the algorithm is analyzed. | en_US |
dc.description.sponsorship | IEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univ | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2018 26Th Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Distributed acoustic sensing | en_US |
dc.subject | phase-OTDR | en_US |
dc.subject | adaptive thresholding | en_US |
dc.subject | threat detection | en_US |
dc.subject | real-time processing | en_US |
dc.title | Adaptive Power Thresholding for Real Time Threat Detection in Distributed Acoustic Sensing Systems | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.authorid | 0000-0001-9674-938X | - |
dc.identifier.wos | WOS:000511448500524 | en_US |
dc.identifier.scopus | 2-s2.0-85050821286 | en_US |
dc.institutionauthor | Akgün, Toygar | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 26th IEEE Signal Processing and Communications Applications Conference (SIU) | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | tr | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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