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축하중을 받는 CFCT의 3차원 비선형 유한요소 모델링
허윤정 ( Yoon-jung Heo ),박진영 ( Jin-young Park ),윤석한 ( Suk-han Yoon ),홍원기 ( Won-kee Kim ),김희철 ( Hee-cheui Kim ) 한국구조물진단유지관리공학회 2002 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.6 No.2
In this study, FEM Model was developed to estimate the behavior of CFCT (Concrete Filled Carbon Tube) columns subjected to uniaxial compression load. 8-noded solid element for concrete and 4-noded membrane shell element for carbon tube were used in FEM model. The classical laminate theory was used to compute the mechanical properties of a carbon tube. A nonlinear finite element model with a Druker-Prager was introduced to account for nonlinear characteristics of a confined concrete by carbon tube. A sensitivity analysis was carried out in order to obtain the values of Druker-Prager parameters(c, φ, φ, k) which affect the result of analysis of CFCT. The result of a FEM analysis with proposed model was well compared with experimental data.
경기도 어린이 의료비 상한제 도입에 대한 시나리오 분석
정재연 ( Jeong Jae Yeon ),윤인혜 ( Yoon In Hye ),황성완 ( Hwang Sung Wan ),허윤정 ( Heo Yun Jung ) 경희대학교 경영연구원 2021 의료경영학연구 Vol.15 No.2
Purposes: This study purposed to predict the government finances required for the introduction of children’s medical expenditure limit system in gyeonggi-do. Methodology: Status analysis, scenario analysis and trend prediction analysis were conducted to estimate using Korea Health Panel Survey 2014-2017. In study, children were classified into 4 categories, preschool children, elementary school students, middle school students, high school students, all analyzes were conducted in 4 categories. Findings: In the analysis of the current status of medical expenditure for children, preschooler were the highest percentage of total medical expenditure and high school students were highest medical expenditure per person. In the scenario analysis, the financial requirements for the introduction of the limit system were 1,489~2,566 billion won(at 0.5 million won upper limit), 818~1,640 billion won(at 1 million won upper limit), 728~1,554 billion won(at 1.5 million won upper limit). In the trend prediction analysis, medical expenditure of more than 1 million won are predicted to increase to 1 trillion 98.1 billion won in 2030. Practical Implications: So, the introduction of the 1 million won limit system on children’s medical expenditure as a way to strengthen medical coverage for children is a system with high possibility and reality. This further improves the quality of life of children and their families, it will be a system that enables children to grow into healthy adults.
세그멘테이션 라벨링 없는 최소 전처리를 통한 AI 의료 영상에서의 다 질병 진단 효율화
서동준 ( Dong-jun Seo ),이승찬 ( Yoon-jung Heo ),허윤정 ( Seung-chan Lee ),원일용 ( Il-yong Won ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
AI 의료 영상 분석 기술은 의료 분야의 인력 부족 문제를 해결하는 방법으로 주목받고 있다. 이전 연구들은 세그멘테이션 라벨링과 질병 유무를 결합하여 판단하는데, 이 방법은 큰 비용과 시간이 소요된다. 본 논문은 의료 전문가의 세그멘테이션 라벨링 없이 병명 라벨만의 학습으로 질병을 어느 정도 진단할 수 있음을 보인다. 실험에 따르면 의미있는 결과를 확인할 수 있었다.