Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정경영 | - |
dc.date.accessioned | 2019-08-12T05:00:19Z | - |
dc.date.available | 2019-08-12T05:00:19Z | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | IEEE ACCESS, v. 7, Page. 3635-3643 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8581409 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/108469 | - |
dc.description.abstract | The finite-difference time-domain (FDTD) modeling of a human voxel model at millimeter-wave (mmWave) frequencies is presented. It is very important to develop the proper geometrical and electrical modeling of a human voxel model suitable for accurate electromagnetic (EM) analysis. Although there are many human phantom models available, their voxel resolution is too poor to use for the FDTD study of EM wave interaction with human tissues. In this paper, we develop a proper human voxel model suitable for mmWave FDTD analysis using the voxel resolution enhancement technique and the image smoothing technique. The former can improve the resolution of the human voxel model and the latter can alleviate staircasing boundaries of the human voxel model. Quadratic complex rational function is employed for the electrical modeling of human tissues in the frequency range of 6-100 GHz. Massage passing interface-based parallel processing is also applied to dramatically speed up FDTD calculations. Numerical examples are used to illustrate the validity of the mmWave FDTD simulator developed here for bio electromagnetics studies. | en_US |
dc.description.sponsorship | This work was supported in part by the Electronics and Telecommunications Research Institute (ETRI) Grant through the Korean Government (MSIT) (Robust Contactless Wearable Radar Technology with Motion Artifact Removal for Easy-to-Wear Vital-Sign Sensing Devices) under Grant 18ZH1600 and in part by the Institute for Information and Communications Technology Promotion (IITP) Grant through the Korean Government (MSIT) (Cloud-Based SW Platform Development for RF Design and EM Analysis) under Grant 2016-0-00130. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Finite-difference time-domain (FDTD) method | en_US |
dc.subject | electromagnetic wave | en_US |
dc.subject | human tissue | en_US |
dc.subject | dispersion model | en_US |
dc.subject | parallel processing | en_US |
dc.subject | bioelectromagnetics | en_US |
dc.subject | Doppler radar | en_US |
dc.title | Finite-Difference Time-Domain Modeling for Electromagnetic Wave Analysis of Human Voxel Model at Millimeter-Wave Frequencies | en_US |
dc.type | Article | en_US |
dc.relation.volume | 7 | - |
dc.identifier.doi | 10.1109/ACCESS.2018.2888584 | - |
dc.relation.page | 3635-3643 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | Baek, Jae-Woo | - |
dc.contributor.googleauthor | Kim, Dong-Kyoo | - |
dc.contributor.googleauthor | Jung, Kyung-Young | - |
dc.relation.code | 2019036307 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | kyjung3 | - |
dc.identifier.orcid | http://orcid.org/0000-0002-7960-3650 | - |
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