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정세란 ( Jeong Seran ),배숙경 ( Bae Suk-kyoung ),김병현 ( Kim Byunghyun ),민지영 ( Min Jiyoung ),조수진 ( Cho Soojin ) 한국구조물진단유지관리공학회 2021 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.25 No.1
구조물 이미지 데이터를 딥러닝 학습하여 구조물 손상 자동 탐지 모델을 개발할 때, 이미지의 해상도를 높여 균열형상을 더욱 선명하게 하면 손상 탐지의 정확도를 향상할 수 있다. 본 연구에서는 이미지 초해상화(Image Super-Resolution) 기술을 균열 탐지 모델의 학습데이터에도 적용하여 (1) 학습데이터 초해상화 (2) 균열탐지모델 학습 (3) 테스트데이터 초해상화 (4) 균열 탐지 네 단계의 새로운 초해상화 기반 고정확도 균열 탐지 프로세스를 제안하였다. 본 프로세스를 이용하여 100장의 이미지로 균열 탐지 테스트를 수행한 결과, 균열 탐지 정확도가 매우 높아짐을 확인하였다.
Yoon Hye Lee,Jiyong Park,Seran Min,Oklim Kang,Hyuktae Kwon,Seung Won Oh 대한가정의학회 2020 Korean Journal of Family Medicine Vol.41 No.4
Background: Although both obesity, measured by body mass index, and visceral obesity are known to be major risk factors of metabolic syndrome and its components, there have been debates on the relative contribution of general obesity and visceral obesity to the development of metabolic syndrome. Methods: We performed a large longitudinal cohort study of 3,093 subjects (age range, 18–65 years) who were metabolically healthy and had a normal weight who received health screenings over a 3-year follow-up period. Cox proportional hazards models were used to estimate the adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for incident metabolic syndrome and its components per sex-specific 1-standard deviation (SD) increase in visceral adipose tissue (VAT) and body mass index. Results: Both obesity and visceral obesity increased the risk of incident metabolic syndrome, but when HR was compared per sex-specific 1-SD, visceral obesity appeared to confer more risk than simple obesity. The HR for 1-SD of body mass index was 1.19 (95% CI, 1.07–1.32; P=0.001) in men and 1.29 (95% CI, 1.10–1.52; P=0.002) in women, while the HR for 1-SD of VAT was 1.29 (95% CI, 1.15–1.44; P<0.001) in men and 1.50 (95% CI, 1.28–1.75; P<0.001) in women. Conclusion: Visceral obesity and obesity were longitudinally associated with an increased risk of incident metabolic syndrome among metabolically healthy adults, and visceral fat accumulation appears to be better predictor of metabolic syndrome.