The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari

Electromagnetic tomography (EMT) is a type of electrical tomography based on electromagnetic induction. Reconstructing images with EMT involves solving inverse problems, which are often poorly defined due to limited prior information about imaging features. Optimization methods such as conjugate gra...

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Main Author: Sari, Michelle Ubong
Format: Thesis
Language:English
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/106180/1/106180.pdf
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spelling my-uitm-ir.1061802024-11-30T22:57:06Z The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari 2024 Sari, Michelle Ubong Analytical methods used in the solution of physical problems Electromagnetic tomography (EMT) is a type of electrical tomography based on electromagnetic induction. Reconstructing images with EMT involves solving inverse problems, which are often poorly defined due to limited prior information about imaging features. Optimization methods such as conjugate gradient (CG), QuasiNewton, and Steepest Descent can help minimize these problems. The conjugate gradient (CG) algorithm is an iterative method that efficiently handles equations with multiple inputs, saving time but requiring more memory. In this research, a hybrid CG method is used to reduce the number of iterations (NOI) and CPU time, achieving excellent numerical performance. This hybrid CG method is then implemented into the EMT system. The efficiency of the EMT and EMT-CG systems is evaluated based on error analysis using RMSE. The findings highlight the hybrid CG method's capability within the EMT system. 2024 Thesis https://ir.uitm.edu.my/id/eprint/106180/ https://ir.uitm.edu.my/id/eprint/106180/1/106180.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Zull Pakkal, Norhaslinda
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Zull Pakkal, Norhaslinda
topic Analytical methods used in the solution of physical problems
spellingShingle Analytical methods used in the solution of physical problems
Sari, Michelle Ubong
The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
description Electromagnetic tomography (EMT) is a type of electrical tomography based on electromagnetic induction. Reconstructing images with EMT involves solving inverse problems, which are often poorly defined due to limited prior information about imaging features. Optimization methods such as conjugate gradient (CG), QuasiNewton, and Steepest Descent can help minimize these problems. The conjugate gradient (CG) algorithm is an iterative method that efficiently handles equations with multiple inputs, saving time but requiring more memory. In this research, a hybrid CG method is used to reduce the number of iterations (NOI) and CPU time, achieving excellent numerical performance. This hybrid CG method is then implemented into the EMT system. The efficiency of the EMT and EMT-CG systems is evaluated based on error analysis using RMSE. The findings highlight the hybrid CG method's capability within the EMT system.
format Thesis
qualification_level Bachelor degree
author Sari, Michelle Ubong
author_facet Sari, Michelle Ubong
author_sort Sari, Michelle Ubong
title The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
title_short The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
title_full The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
title_fullStr The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
title_full_unstemmed The implementation of hybrid conjugate gradient method in electromagnetic tomography / Michelle Ubong Sari
title_sort implementation of hybrid conjugate gradient method in electromagnetic tomography / michelle ubong sari
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Mathematics
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/106180/1/106180.pdf
_version_ 1818588169680977920