Yıl 2020, Cilt 1 , Sayı 2, Sayfalar 4 - 12 2020-12-21

Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation
SNR Bağımlı Veri Üretimi kullanılarak Fiber Optik Dağıtılmış Akustik Algılama için Derin Öğrenmeye Dayalı Tehdit Sınıflandırması

Emre UZUNDURUKAN [1] , Ali KARA [2]


In this study, a novel method is proposed to generate SNR dependent database and classify seismic events for fiber optic distributed acoustic sensing (DAS) systems. Optical time-domain reflectometry (OTDR) is used to acquire DAS signals. Proposed data creation method generates signals with different SNR values which is based on real channel noise characteristics. By this way, from the limited dataset, huge dataset consists of three different seismic events such as hammer hit, digging with pickaxe and digging with shovel is generated. In the classification part, two different Deep Learning algorithm (Convolutional Neural Network and fully connected neural networks) are used to identify three different seismic events. Results show that remarkable identification accuracy for the three different SNR ranges is achieved.
Bu çalışmada, SNR bağımlı veri tabanı oluşturmak ve fiber optik dağıtılmış akustik algılama (DAS) sistemler için sismik olayları sınıflandırmak yöntemi önerilmiştir. DAS sinyallerini almak için optik zaman alanı reflektometrisi (OTDR) kullanılmıştır. Önerilen veri oluşturma yöntemi, gerçek kanal gürültü özelliklerine dayanan farklı SNR değerlerine sahip sinyaller üretir. Bu şekilde, sınırlı veri kümesinden, çekiç vuruşu, kazma ile kazma ve kürekle kazma gibi üç farklı sismik olaydan oluşan büyük veri kümesi elde edilmiştir. Sınıflandırma bölümünde, üç farklı sismik olayı tanımlamak için iki farklı Derin Öğrenme algoritması (Evrişimsel Sinir Ağları ve tam bağlantılı sinir ağları) kullanılır. Sonuçlar, üç farklı SNR aralığı için dikkate değer tanımlama doğruluğunun elde edildiğini göstermektedir
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Birincil Dil en
Konular Mühendislik, Elektrik ve Elektronik
Bölüm Araştırma Makaleleri
Yazarlar

Yazar: Emre UZUNDURUKAN (Sorumlu Yazar)
Kurum: ATILIM UNIVERSITY
Ülke: Turkey


Orcid: 0000-0002-9739-7619
Yazar: Ali KARA
Kurum: ATILIM UNIVERSITY
Ülke: Turkey


Tarihler

Başvuru Tarihi : 16 Temmuz 2020
Kabul Tarihi : 9 Ağustos 2020
Yayımlanma Tarihi : 21 Aralık 2020

Bibtex @araştırma makalesi { jster768659, journal = {Journal of Scientific, Technology and Engineering Research}, issn = {}, eissn = {2717-8404}, address = {Eymir mah. Tek küme evleri, No.59/6 Gölbaşı-ANKARA}, publisher = {Mehmet BULUT}, year = {2020}, volume = {1}, pages = {4 - 12}, doi = {10.5281/zenodo.3977620}, title = {Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation}, key = {cite}, author = {Uzundurukan, Emre and Kara, Ali} }
APA Uzundurukan, E , Kara, A . (2020). Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation . Journal of Scientific, Technology and Engineering Research , 1 (2) , 4-12 . DOI: 10.5281/zenodo.3977620
MLA Uzundurukan, E , Kara, A . "Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation" . Journal of Scientific, Technology and Engineering Research 1 (2020 ): 4-12 <https://dergipark.org.tr/tr/pub/jster/issue/55056/768659>
Chicago Uzundurukan, E , Kara, A . "Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation". Journal of Scientific, Technology and Engineering Research 1 (2020 ): 4-12
RIS TY - JOUR T1 - Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation AU - Emre Uzundurukan , Ali Kara Y1 - 2020 PY - 2020 N1 - doi: 10.5281/zenodo.3977620 DO - 10.5281/zenodo.3977620 T2 - Journal of Scientific, Technology and Engineering Research JF - Journal JO - JOR SP - 4 EP - 12 VL - 1 IS - 2 SN - -2717-8404 M3 - doi: 10.5281/zenodo.3977620 UR - https://doi.org/10.5281/zenodo.3977620 Y2 - 2020 ER -
EndNote %0 Journal of Scientific, Technology and Engineering Research Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation %A Emre Uzundurukan , Ali Kara %T Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation %D 2020 %J Journal of Scientific, Technology and Engineering Research %P -2717-8404 %V 1 %N 2 %R doi: 10.5281/zenodo.3977620 %U 10.5281/zenodo.3977620
ISNAD Uzundurukan, Emre , Kara, Ali . "Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation". Journal of Scientific, Technology and Engineering Research 1 / 2 (Aralık 2020): 4-12 . https://doi.org/10.5281/zenodo.3977620
AMA Uzundurukan E , Kara A . Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation. JSTER. 2020; 1(2): 4-12.
Vancouver Uzundurukan E , Kara A . Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation. Journal of Scientific, Technology and Engineering Research. 2020; 1(2): 4-12.
IEEE E. Uzundurukan ve A. Kara , "Deep Learning Based Threat Classification for Fiber Optic Distributed Acoustic Sensing Using SNR Dependent Data Generation", Journal of Scientific, Technology and Engineering Research, c. 1, sayı. 2, ss. 4-12, Ara. 2020, doi:10.5281/zenodo.3977620