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정다운,이소정,권채령,박이화,허서원,김동은,Jeong, Dawun,Lee, Sojung,Kwon, Chae-Ryung,Park, Ihwa,Heo, Seowon,Kim, Dong-Eun 복식문화학회 2018 服飾文化硏究 Vol.26 No.4
This study aims to contribute to the development of sports wearables. It was conducted by a convergence team of professionals in the fashion industry, kinesiology and sports studies, and computer science and engineering. The purpose of the current study was to design and develop a fabric-type fitness band for a sensor to measure acceleration during jump rope exercises. Computer science and engineering professionals developed the Arduino board and sensor, kinesiology and sports studies provided the necessary exercise protocol, and the fashion industry professionals developed the band. First, a fitness band preference survey was completed by men and women between the ages of 20 and 50. Typical uses of the band included tracking exercise amount as measured by the number of steps taken and calories burned. Strap watch closure, a single color and achromatic color, and soft and smooth touch materials were preferred as band design. Second, two fabric-type fitness bands were designed and developed. Design 1 had a 3-dimensional pocket for the sensor, bright blue color, and stretch binding around the edges and for a loop. Design 2 had a flat pocket for the sensor, achromatic color, mesh binding around the edges and two metal loops. Both designs had Velcro as a closure. Third, wear testing of both bands with the sensor were conducted of 15 women in their 20s. They wore the bands during jump rope exercises. Both bands generally satisfied the participants. The Design 2 band was slightly more satisfying than the Design 1 band.
CT Radiomic Features의 재현성 향상을 위한 Super-Resolution GAN 기반의 CT 영상 변환 연구
정다운(Dawun Jeong),이지나(Jina Lee),홍영택(Youngtaek Hong),조연진(Yeon Jin Cho),심학준(Hackjoon Shim),장혁재(Hyuk-Jae Chang) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
Computed tomography (CT) is a widely used modality for diagnosing lesions, but the physician decides imaging protocols. Depending on the imaging protocol, different Radiomic features are varied, which is a significant obstacle to Radiomics research. Therefore, in this study, abdominal phantom images from various protocols were converted to reference protocol images using a generative adversarial network. The radiomic features by the proposed generative adversarial network showed improved correlation with reference protocol imaging in texture features. In this study, we showed the feasibility of CT image standardization.