Nur Sofia Idayu, Didik Aprianto and Nurfarhana, Mustafa and Mohd Faizal, Jamlos and Kitazawa, Toshihide and Mohamad Shaiful, Abdul Karim (2024) Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey. Journal of Electrical Systems, 20 (3). pp. 6972-6982. ISSN 1112-5209. (Published)
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Abstract
This survey examines the computational methodologies for extracting dielectric properties from transmission and/or reflection coefficients. The overview of conventional measuring techniques – free space measurement, transmission line, resonant methods – and the conversion of the scattering parameters method to dielectric properties such as analytical, numerical analysis, and machine learning techniques, are being explored briefly. Each method has advantages and disadvantages, such as the practicality of the sample size, high-frequency applications, and measurement conditions. The Nicholson-Ross-Weir, National Institute of Standards and Technology, and non-iterative methods provide a straightforward computational extraction technique of dielectric properties. Electromagnetic field analysis and root-finding algorithms improve computational accuracy and stability. Large datasets with varying degrees of complexity can be handled by artificial neural networks, deep neural networks, and neuro-fuzzy networks from machine learning models. This survey provides a computational framework through these various approaches while offering insights into their practicality and effectiveness in characterizing material properties.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Computational methodologies; Dielectric properties; Scattering parameters; Material characterization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 09 Jul 2025 03:48 |
| Last Modified: | 09 Jul 2025 03:48 |
| URI: | http://umpir.ump.edu.my/id/eprint/45044 |
| Download Statistic: | View Download Statistics |
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