Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response

Oleg Drobakhin; Vasil Tabatadze; Vladyslav Chuchva; Artem Huz

doi:10.1109/DIPED59408.2023.10269521

Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response

Oleg Drobakhin^*, Vasil Tabatadze, Vladyslav Chuchva, Artem Huz

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

The application of three-component stacked artificial neural networks (ANN) for discrimination of dielectric cylinders of different diameters by their radio images is considered. Neural networks include two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. Radio images were obtained using the method of auxiliary sources (MAS) for cylinders with the radius of 15 to 35 mm. The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 5 dB.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings
Yayınlayan	IEEE Computer Society
Sayfalar	133-137
Sayfa sayısı	5
ISBN (Elektronik)	9798350315332
DOI'lar	https://doi.org/10.1109/DIPED59408.2023.10269521
Yayın durumu	Yayınlandı - 2023
Harici olarak yayınlandı	Evet
Etkinlik	28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Tbilisi, Georgia Süre: 11 Eyl 2023 → 13 Eyl 2023

Yayın serisi

Adı	Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED
Hacim	2023-September
ISSN (Basılı)	2165-3585
ISSN (Elektronik)	2165-3593

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023
Ülke/Bölge	Georgia
Şehir	Tbilisi
Periyot	11/09/23 → 13/09/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/DIPED59408.2023.10269521

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Drobakhin, O., Tabatadze, V., Chuchva, V., & Huz, A. (2023). Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response. In 2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings (pp. 133-137). (Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED; Hac. 2023-September). IEEE Computer Society. https://doi.org/10.1109/DIPED59408.2023.10269521

Drobakhin, Oleg ; Tabatadze, Vasil ; Chuchva, Vladyslav et al. / Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response. 2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings. IEEE Computer Society, 2023. pp. 133-137 (Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED).

@inproceedings{124de73712db4b60874af70d4a843fb8,

title = "Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response",

abstract = "The application of three-component stacked artificial neural networks (ANN) for discrimination of dielectric cylinders of different diameters by their radio images is considered. Neural networks include two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. Radio images were obtained using the method of auxiliary sources (MAS) for cylinders with the radius of 15 to 35 mm. The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 5 dB.",

keywords = "artificial neural networks, autoencoder, dielectric cylinders, discrimination of targets, method of auxiliary sources (MAS), radio images, softmax",

author = "Oleg Drobakhin and Vasil Tabatadze and Vladyslav Chuchva and Artem Huz",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 ; Conference date: 11-09-2023 Through 13-09-2023",

year = "2023",

doi = "10.1109/DIPED59408.2023.10269521",

language = "English",

series = "Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED",

publisher = "IEEE Computer Society",

pages = "133--137",

booktitle = "2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings",

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Drobakhin, O, Tabatadze, V, Chuchva, V & Huz, A 2023, Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response. in 2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings. Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED, hac. 2023-September, IEEE Computer Society, pp. 133-137, 28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023, Tbilisi, Georgia, 11/09/23. https://doi.org/10.1109/DIPED59408.2023.10269521

Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response. / Drobakhin, Oleg; Tabatadze, Vasil; Chuchva, Vladyslav et al.
2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings. IEEE Computer Society, 2023. p. 133-137 (Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED; Hac. 2023-September).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response

AU - Drobakhin, Oleg

AU - Tabatadze, Vasil

AU - Chuchva, Vladyslav

AU - Huz, Artem

PY - 2023

Y1 - 2023

N2 - The application of three-component stacked artificial neural networks (ANN) for discrimination of dielectric cylinders of different diameters by their radio images is considered. Neural networks include two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. Radio images were obtained using the method of auxiliary sources (MAS) for cylinders with the radius of 15 to 35 mm. The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 5 dB.

AB - The application of three-component stacked artificial neural networks (ANN) for discrimination of dielectric cylinders of different diameters by their radio images is considered. Neural networks include two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. Radio images were obtained using the method of auxiliary sources (MAS) for cylinders with the radius of 15 to 35 mm. The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 5 dB.

KW - artificial neural networks

KW - autoencoder

KW - dielectric cylinders

KW - discrimination of targets

KW - method of auxiliary sources (MAS)

KW - radio images

KW - softmax

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U2 - 10.1109/DIPED59408.2023.10269521

DO - 10.1109/DIPED59408.2023.10269521

M3 - Conference contribution

AN - SCOPUS:85175236909

T3 - Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED

SP - 133

EP - 137

BT - 2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings

PB - IEEE Computer Society

T2 - 28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023

Y2 - 11 September 2023 through 13 September 2023

ER -

Drobakhin O, Tabatadze V, Chuchva V, Huz A. Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response. In 2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings. IEEE Computer Society. 2023. p. 133-137. (Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED). doi: 10.1109/DIPED59408.2023.10269521

Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response

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