Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey
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 parameter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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JES
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/45044/ http://umpir.ump.edu.my/id/eprint/45044/1/Computational%20extraction%20of%20dielectric%20properties%20from%20transmission.pdf |
| _version_ | 1848827242161897472 |
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| author | Nur Sofia Idayu, Didik Aprianto Nurfarhana, Mustafa Mohd Faizal, Jamlos Kitazawa, Toshihide Mohamad Shaiful, Abdul Karim |
| author_facet | Nur Sofia Idayu, Didik Aprianto Nurfarhana, Mustafa Mohd Faizal, Jamlos Kitazawa, Toshihide Mohamad Shaiful, Abdul Karim |
| author_sort | Nur Sofia Idayu, Didik Aprianto |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:57:36Z |
| format | Article |
| id | ump-45044 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:57:36Z |
| publishDate | 2024 |
| publisher | JES |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-450442025-07-09T03:48:03Z http://umpir.ump.edu.my/id/eprint/45044/ Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey Nur Sofia Idayu, Didik Aprianto Nurfarhana, Mustafa Mohd Faizal, Jamlos Kitazawa, Toshihide Mohamad Shaiful, Abdul Karim TK Electrical engineering. Electronics Nuclear engineering 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. JES 2024 Article PeerReviewed pdf en cc_by_nd_4 http://umpir.ump.edu.my/id/eprint/45044/1/Computational%20extraction%20of%20dielectric%20properties%20from%20transmission.pdf 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) https://journal.esrgroups.org/jes/article/view/7232 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nur Sofia Idayu, Didik Aprianto Nurfarhana, Mustafa Mohd Faizal, Jamlos Kitazawa, Toshihide Mohamad Shaiful, Abdul Karim Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title | Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title_full | Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title_fullStr | Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title_full_unstemmed | Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title_short | Computational extraction of dielectric properties from transmission and/or reflection coefficients: A survey |
| title_sort | computational extraction of dielectric properties from transmission and/or reflection coefficients: a survey |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/45044/ http://umpir.ump.edu.my/id/eprint/45044/ http://umpir.ump.edu.my/id/eprint/45044/1/Computational%20extraction%20of%20dielectric%20properties%20from%20transmission.pdf |