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심층 학습을 이용한 인공위성 광학 관측 데이터의 궤도결정 정밀도 향상
윤현만 ( Hyeon-man Yun ),김찬호 ( Chan-ho Kim ),최인수 ( In-soo Choi ),이성섭 ( Soung-sub Lee ) 한국항행학회 2024 韓國航行學會論文誌 Vol.28 No.3
본 논문에서는 관측소에서 위성을 관측할 때 나오는 광학 관측 데이터인 각도 정보를 통해 A.I 기법 중 하나인 심층 학습을 적용하여 관측소에서 위성까지의 거리 정보를 학습시켜 거리 정보를 예측하게 만들어 위성의 궤도결정 정밀도를 높였다. 이를 위해 GMAT에서 관측 데이터를 생성하고, 생성된 관측 데이터를 전처리 과정을 통해 심층 학습의 학습 데이터 오차를 줄였으며, MATLAB을 통해 심층 학습을 진행하였다. 학습을 통해 나온 예측된 거리 정보를 토대로 궤도결정의 필터링 기법 중 하나인 확장 칼만 필터를 GMAT을 통해 사용하여 궤도결정을 실시 하였다. 거리 정보가 없는 각도 정보를 가지고 한 궤도결정과 모델을 통해 나온 예측된 거리 정보가 있는 궤도결정 결과를 비교 분석하여 모델의 신뢰성을 검증하였으며, 실제 관측 데이터를 기반으로 결과를 비교 분석하여 궤도결정의 정밀도가 향상됨을 보여준다. In this paper, by applying deep learning, one of the A.I. techniques, through angle information, which is optical observation data generated when observing satellites at observatories, distance information from observatories is learned to predict range data, thereby increasing the precision of satellite's orbit determination. To this end, we generated observational data from GMAT, reduced the learning data error of deep learning through preprocessing of the generated observational data, and conducted deep learning through MATLAB. Based on the predicted distance information from learning, trajectory determination was performed using an extended Kalman filter, one of the filtering techniques for trajectory determination, through GMAT. The reliability of the model was verified by comparing and analyzing the orbital determination with angular information without distance information and the orbital determination result with predicted distance information from the model.
신현진(Shin Hyeon-Jin),황선경(Hwang Sun-Kyoung),한병찬(Han Byung-Chan),최창식(Choi Chang-Sik),윤현도(Yun Hyun-Do),정수영(Chung Soo-Young) 대한건축학회 2003 大韓建築學會論文集 : 構造系 Vol.19 No.7
There are many advantages when high-strength concrete instead of normal-strength one is used, especially in the increase of both compressive strength and the higher durability. However, due to the brittleness of high-strength concrete, for the purpose of applying to real structure. Many researches were focused on an experimental study. Concrete columns subjected to triaxial compressive stresses have to consider that the properties of columns are nonlinear materials, an interaction between longitudinal bars and reinforcing steels, a variety of confined stresses about stress increment, a crack modeling, a buckling of longitudinal bars and etc. Analyses of concrete columns is presented. And then, for an active support of an experimental study, the analytical studies carried out. A computer software, ABAQUS/Standard 6.2, was used to analyze a nonlinear finite element analysis of high-strength concrete columns under axial loads. This study is to propose logical finite element models, and the construction of an efficient finite element. The purposes of analytical study are simplicity and efficiency of finite element models. The analytical models are applied to the stress-strain curves of proposed equations. This curves were considered to the effects of the volumetric ratio, intervals of lateral ties, and the distribution of the longitudinal steel around the core perimeter, etc.. The analytical models were composed to confine and unconfine and areas. Diagrams and charts illustrate the analytical and empirical results. Analytical results applied to the proposed method are equal to experimental results.
철골프레임으로 보강된 비내진 상세 철근콘크리트 골조의 유한요소해석
김지현 ( Kim Ji Hyeon ),윤다애 ( Youn Da Ae ),임성훈 ( Lim Seong Hoon ),장아연 ( Jang Ah Yeon ),윤현도 ( Yun Hyun Do ) 한국구조물진단유지관리공학회 2018 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.22 No.2
This paper was conducted to investigate analytically the non-ductile reinforced concrete frame and steel frame. The results of cyclic loading test and analysis was compared. The maximum strength and strength reduction point of test result were similar to analysis result.
1,600 MPa급 강섬유를 사용한 고강도 SFRC 보의 파괴거동
김지현 ( Kim Ji-hyeon ),윤다애 ( Youn Da-ae ),임성훈 ( Lim Seong-hoon ),장아연 ( Jang Ah-yeon ),윤현도 ( Yun Hyun-do ) 한국구조물진단유지관리공학회 2019 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.23 No.1
In this paper, fracture behavior of high-strength SFRC with high tensile strength steel fiber was investigated. Two different steel fibers with tensile strength of 1,200 and 1,600 MPa was used in SFRC specimens. Tst results showed that fracture behavior was more ductile with increasing the steel fiber tensile strength.