Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi

Uǧur Berkay Çalişkan; Cemanur Aydinalp; Tuba Yilmaz Abdolsaheb

doi:10.1109/SIU59756.2023.10223749

Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi

Uǧur Berkay Çalişkan, Cemanur Aydinalp, Tuba Yilmaz Abdolsaheb

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

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

1 Atıf (Scopus)

Özet

Dielectric property characterization of biological tissues plays a vital role during microwave diagnosis and treatment. Cole-Cole model is used commonly in the literature to express this frequency dependent properties. This modelling provides an effective and accurate representation of complex permittivity in a large frequency spectrum for the biological tissues. Many optimization techniques are used to calculate the Cole-Cole parameters. In this research, execution time and number of iteration of Particle Swarm Algorithm and Generalized Newton-Raphson method to calculate Cole-Cole parameters are listed. During this research, the frequency band is 0.5 - 6 GHz and between this frequency interval 271 equidistant points are selected. During the analysis, it is observed that Generalized Gauss Newton method took much less time to calculate the Cole-Cole parameters. At the same time, Particle Swarm Optimization calculated the Cole-Cole parameters with less number of iteration.

Tercüme edilen katkı başlığı	Comparing Two Fitting Algorithms to Determine Cole-Cole Parameters
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350343557
DOI'lar	https://doi.org/10.1109/SIU59756.2023.10223749
Yayın durumu	Yayınlandı - 2023
Etkinlik	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Süre: 5 Tem 2023 → 8 Tem 2023

Yayın serisi

Adı	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

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

???event.eventtypes.event.conference???	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	5/07/23 → 8/07/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Keywords

Cole-Cole model
Generalized Newton-Raphson Algorithm
Particle Swarm Algorithm
dielectric properties

Belgeye Erişim

10.1109/SIU59756.2023.10223749

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çalişkan, U. B., Aydinalp, C., & Abdolsaheb, T. Y. (2023). Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU59756.2023.10223749

Çalişkan, Uǧur Berkay ; Aydinalp, Cemanur ; Abdolsaheb, Tuba Yilmaz. / Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

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abstract = "Dielectric property characterization of biological tissues plays a vital role during microwave diagnosis and treatment. Cole-Cole model is used commonly in the literature to express this frequency dependent properties. This modelling provides an effective and accurate representation of complex permittivity in a large frequency spectrum for the biological tissues. Many optimization techniques are used to calculate the Cole-Cole parameters. In this research, execution time and number of iteration of Particle Swarm Algorithm and Generalized Newton-Raphson method to calculate Cole-Cole parameters are listed. During this research, the frequency band is 0.5 - 6 GHz and between this frequency interval 271 equidistant points are selected. During the analysis, it is observed that Generalized Gauss Newton method took much less time to calculate the Cole-Cole parameters. At the same time, Particle Swarm Optimization calculated the Cole-Cole parameters with less number of iteration.",

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note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 ; Conference date: 05-07-2023 Through 08-07-2023",

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doi = "10.1109/SIU59756.2023.10223749",

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Çalişkan, UB, Aydinalp, C & Abdolsaheb, TY 2023, Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi. in 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Institute of Electrical and Electronics Engineers Inc., 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Istanbul, Turkey, 5/07/23. https://doi.org/10.1109/SIU59756.2023.10223749

Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi. / Çalişkan, Uǧur Berkay; Aydinalp, Cemanur ; Abdolsaheb, Tuba Yilmaz.
31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

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

TY - GEN

T1 - Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi

AU - Çalişkan, Uǧur Berkay

AU - Aydinalp, Cemanur

AU - Abdolsaheb, Tuba Yilmaz

PY - 2023

Y1 - 2023

N2 - Dielectric property characterization of biological tissues plays a vital role during microwave diagnosis and treatment. Cole-Cole model is used commonly in the literature to express this frequency dependent properties. This modelling provides an effective and accurate representation of complex permittivity in a large frequency spectrum for the biological tissues. Many optimization techniques are used to calculate the Cole-Cole parameters. In this research, execution time and number of iteration of Particle Swarm Algorithm and Generalized Newton-Raphson method to calculate Cole-Cole parameters are listed. During this research, the frequency band is 0.5 - 6 GHz and between this frequency interval 271 equidistant points are selected. During the analysis, it is observed that Generalized Gauss Newton method took much less time to calculate the Cole-Cole parameters. At the same time, Particle Swarm Optimization calculated the Cole-Cole parameters with less number of iteration.

AB - Dielectric property characterization of biological tissues plays a vital role during microwave diagnosis and treatment. Cole-Cole model is used commonly in the literature to express this frequency dependent properties. This modelling provides an effective and accurate representation of complex permittivity in a large frequency spectrum for the biological tissues. Many optimization techniques are used to calculate the Cole-Cole parameters. In this research, execution time and number of iteration of Particle Swarm Algorithm and Generalized Newton-Raphson method to calculate Cole-Cole parameters are listed. During this research, the frequency band is 0.5 - 6 GHz and between this frequency interval 271 equidistant points are selected. During the analysis, it is observed that Generalized Gauss Newton method took much less time to calculate the Cole-Cole parameters. At the same time, Particle Swarm Optimization calculated the Cole-Cole parameters with less number of iteration.

KW - Cole-Cole model

KW - Generalized Newton-Raphson Algorithm

KW - Particle Swarm Algorithm

KW - dielectric properties

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M3 - Konferans katkısı

AN - SCOPUS:85173465086

T3 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

BT - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

Y2 - 5 July 2023 through 8 July 2023

ER -

Çalişkan UB, Aydinalp C , Abdolsaheb TY. Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). doi: 10.1109/SIU59756.2023.10223749

Cole-Cole Parametreleri Hesaplanirken Kullanilan iki Oturtma Algoritmasinin Karşilaştirilmasi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

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