Accurate and Numerically Stable FDTD Modeling of Human Skin Tissues in THz Band
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jaesun | - |
dc.contributor.author | Baek, Jae-Woo | - |
dc.contributor.author | Jung, Kyung-Young | - |
dc.date.accessioned | 2022-07-06T05:15:46Z | - |
dc.date.available | 2022-07-06T05:15:46Z | - |
dc.date.created | 2022-06-03 | - |
dc.date.issued | 2022-04 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/138827 | - |
dc.description.abstract | We propose finite-difference time-domain (FDTD) modeling suitable for healthy skin, basal cell carcinoma, dysplastic pigmentary nevus, and non-dysplastic pigmentary nevus in the frequency range of 0.25 THz to 1.05 THz. Toward this purpose, we utilize the complex-conjugate pole-residue (CCPR) dispersion model, because it is very simple to extract the accurate CCPR coefficients using the powerful vector fitting tool. In the FDTD method, it is of great importance to check the numerical stability conditions. If the coefficients extracted through the vector fitting tool do not satisfy the numerical stability conditions, the particle swarm optimization (PSO) algorithm is employed to obtain the accurate and numerically stable coefficients. Numerical examples are provided to validate our proposed FDTD modeling. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Accurate and Numerically Stable FDTD Modeling of Human Skin Tissues in THz Band | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jung, Kyung-Young | - |
dc.identifier.doi | 10.1109/ACCESS.2022.3168160 | - |
dc.identifier.scopusid | 2-s2.0-85129147058 | - |
dc.identifier.wosid | 000794149000001 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.10, pp.41260 - 41266 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 10 | - |
dc.citation.startPage | 41260 | - |
dc.citation.endPage | 41266 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | DIFFERENCE TIME-DOMAIN | - |
dc.subject.keywordPlus | PERFECTLY MATCHED LAYER | - |
dc.subject.keywordPlus | BASAL-CELL CARCINOMA | - |
dc.subject.keywordPlus | DISPERSIVE MEDIA | - |
dc.subject.keywordPlus | WAVE-GUIDES | - |
dc.subject.keywordPlus | EX-VIVO | - |
dc.subject.keywordPlus | STABILITY | - |
dc.subject.keywordAuthor | Time-domain analysis | - |
dc.subject.keywordAuthor | Numerical models | - |
dc.subject.keywordAuthor | Finite difference methods | - |
dc.subject.keywordAuthor | Dispersion | - |
dc.subject.keywordAuthor | Skin | - |
dc.subject.keywordAuthor | Numerical stability | - |
dc.subject.keywordAuthor | Skin cancer | - |
dc.subject.keywordAuthor | Dispersion model | - |
dc.subject.keywordAuthor | dispersive media | - |
dc.subject.keywordAuthor | finite-difference time-domain (FDTD) method | - |
dc.subject.keywordAuthor | human skin tissues | - |
dc.subject.keywordAuthor | terahertz (THz) | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9758742 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.