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

Translated title of the contribution: Comparing Two Fitting Algorithms to Determine Cole-Cole Parameters

Uǧur Berkay Çalişkan, Cemanur Aydinalp, Tuba Yilmaz Abdolsaheb

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Translated title of the contribution	Comparing Two Fitting Algorithms to Determine Cole-Cole Parameters
Original language	Turkish
Title of host publication	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350343557
DOIs	https://doi.org/10.1109/SIU59756.2023.10223749
Publication status	Published - 2023
Event	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023

Publication series

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

Conference

Conference	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Country/Territory	Turkey
City	Istanbul
Period	5/07/23 → 8/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Access to Document

10.1109/SIU59756.2023.10223749

Cite this

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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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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

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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

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