Relaxation Frequency and Relaxation Time Estimation for Phantom Modeling by Proposed Fitting Linear Models

Chew, Kim Mey and Rubita, Sudirman and Norhudah, Seman and Yong, Ching Yee (2013) Relaxation Frequency and Relaxation Time Estimation for Phantom Modeling by Proposed Fitting Linear Models. In: 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 17-19 December 2012, Langkawi, Malaysia.

[img] PDF
P10. Relaxation Frequency and Relaxation Time Estimation for Phantom Modeling by Proposed Fitting Linear Models (IEEE).pdf

Download (901kB)
Official URL: https://ieeexplore.ieee.org/document/6498180

Abstract

This study aims to investigate the effect of quantity of sugar to the relaxation time needed for a mixture to accomplish steady state. Fitting linear models were proposed for fitting and extrapolating the incomplete permittivity graph due to the lacking of Vector Network Analyzer (VNA) machine unable to operate at frequency higher than 20GHz. The proposed models gave an adequate internal consistency of relaxation time calculation for the four mixtures. Result shows that the quantity of element sugar is the main reason of affecting the permittivity and relaxation time of the mixture. This findings enable contribute to related field researchers due to the effect of sugar that may influence the relaxation time for a mixture model.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: dielectric; relative permittivity; relaxation frequency ; relaxation time; extrapolation.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Kim Mey
Date Deposited: 30 Aug 2024 02:49
Last Modified: 30 Aug 2024 02:49
URI: http://ir.unimas.my/id/eprint/45895

Actions (For repository members only: login required)

View Item View Item