دورية أكاديمية

Lumped Element Method Based Conductivity Reconstruction Algorithm for Localization Using Symmetric Discrete Operators on Coarse Meshes

التفاصيل البيبلوغرافية
العنوان: Lumped Element Method Based Conductivity Reconstruction Algorithm for Localization Using Symmetric Discrete Operators on Coarse Meshes
المؤلفون: Zoltan Sari, Mihaly Klincsik, Peter Odry, Vladimir Tadic, Attila Toth, Zoltan Vizvari
المصدر: Symmetry, Vol 15, Iss 5, p 1008 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: inverse conductivity problem, nonlinear overdetermined system of equations, electrical impedance tomography, Mathematics, QA1-939
الوصف: The inverse conductivity problem in electrical impedance tomography involves the solving of a nonlinear and under-determined system of equations. This paper presents a new approach, which leads to a quadratic and overdetermined system of equations. The aim of the paper is to establish new research directions in handling of the inverse conductivity problem. The basis of the proposed method is that the material, which can be considered as an isotropic continuum, is modeled as a linear network with concentrated parameters. The weights of the obtained graph represent the properties of the discretized continuum. Further, the application of the developed procedure allows for the dielectric constant to be used in the multi-frequency approach, as a result of which the optimized system of equations always remains overdetermined. Through case studies, the efficacy of the reconstruction method by changing the mesh resolution applied for discretizing is presented and evaluated. The presented results show, that, due to the application of discrete, symmetric mathematical structures, the new approach even at coarse mesh resolution is capable of localizing the inhomogeneities of the material.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2073-8994
Relation: https://www.mdpi.com/2073-8994/15/5/1008; https://doaj.org/toc/2073-8994
DOI: 10.3390/sym15051008
URL الوصول: https://doaj.org/article/674a0beeb9214e6bb1a389a12750fa65
رقم الأكسشن: edsdoj.674a0beeb9214e6bb1a389a12750fa65
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20738994
DOI:10.3390/sym15051008