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장지간 FSM공법을 위한 편심브라켓을 설치한 온도프리스트레싱 공법의 해석적 연구
원성환,정치영,김상효 한국구조물진단유지관리학회 2012 한국구조물진단학회 학술발표회논문집 Vol.2012 No.1
The existing Full-staging method(FSM) has problems of economic efficiency and clearhead decline due to short applicable span length. This study proposes the thermal prestressing method (TPSM) with eccentric bracket in FSM. The study contains an analysis of TPSM as well as static loading analysis for the proposed method. It was verified that sectional stiffness of applied H beam girder is increased and ultimate strength is improved as well.
안쪽세로활 변형을 가진 고교 남자 태권도 선수의 근활성도, 근피로도 및 균형의 평가
원성환 ( Seong-hwan Won ),유경태 ( Kyung-tae Yoo ),이호성 ( Ho-seong Lee ) 대한물리의학회 2021 대한물리의학회지 Vol.16 No.4
PURPOSE: This study aimed to examine the evaluation of muscle activity, muscle fatigue and balance in male high school Taekwondo athlete with a deformity of the medial longitudinal arch. METHODS: The 20 male high school Taekwondo athletes participated in the study they have been measured radiographic a medial longitudinal arch and divided into a medial longitudinal arch group (higher than 18.8°; MLA group, n = 12) and control group (lower than 18.8°; CON group, n = 8). All subjects were measured muscle activity (TA, PT, PL and PB), muscle fatigue (TA, PT, PL and PB) and balance (A-, AL-, L-, PL-, P-, PM-, M-, AM-direction and composite score; CS). RESULTS: The muscle activity of TP was significantly higher in MLA group compared to CON group (p = 031) and the muscle fatigue of TA was significantly lower in MLA group compared to CON group (p = .043). However, balance did not show significant differences between the groups. CONCLUSION: These results confirmed that male high school Taekwondo athlete with a deformity of medial longitudinal arch increase TP and decrease TA, but there was no difference on balance.
원성환(Won, Sung-Hwan),송익호(Song, Iick-Ho),민황기(Min, Hwang-Ki),안태훈(An, Tae-Hun) 한국정보전자통신기술학회 2012 한국정보전자통신기술학회논문지 Vol.5 No.1
이 논문에서는 얼개가 새로운 회귀 신경망을 제안하고, 그 신경망이 어떤 이산 시간 동적 시스템도 동정화 할 수 있음을 보인다. 또한, 제안한 신경망을 써서 유한 상태 자동기계를 부호화, 동정화, 그리고 추출하는 데에 적용하여 그 성능을 살펴본다. 제안한 신경망에 고친 비용함수를 쓰고 혼합 그리디 모의 담금질 방법으로 학습시키면 유한 상태 자동기계를 동정화하는 성능이 일반적으로 다른 기법보다 더 낫다는 것을 모의실험으로 보인다. A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The applications of the proposed network are addressed in the encoding, identification, and extraction of finite state automata. Simulation results show that the identification of finite state automata using the proposed network, trained by the hybrid greedy simulated annealing with a modified error function in the learning stage, exhibits generally better performance than other conventional identification schemes.
진동대 실험을 통한 외부보강형 판넬조립식 물탱크의 내진성능평가
박세준,원성환,최문석,김상효,정진환 한국지진공학회 2013 한국지진공학회논문집 Vol.17 No.4
In this study, an externally reinforced structural system for SMC(Sheet Molding Compound) panel water tank, designed according to the Japanese design code, is experimented to evaluate its seismic performance. The test tank is 3m long, 2m wide and 3m high, considering the capacity and size of the shaking table. The measured hydrodynamic pressures are found to be approximately 70% of the Japanese design code values. It may be partially due to the convex shape effect of the unit panels. The analytical results of externally reinforced system based on the measured dynamic water pressures are found in good agreement with the test results. If the design hydrodynamic pressures are estimated properly, the proposed analytical model for the externally reinforced water tank becomes a useful design tool and the Japanese design code is found to provide a safe design for the external frames of SMC panel water tank.
이승원,원성환,송익호,윤석호,김선용 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.4
We address the identifi cation and generation of the discrete-time chaotic system (DTCS) with a two-layered recurrent neural network (RNN). First, we propose an identifi cation procedure of the DTCS in which the RNN is required to have less layers than in the conventional procedures. Next, based on Li–Yorke theorem, we propose a generation procedure which enables us to predict a range of chaotic behavior of the DTCS in advance. Simulation results demonstrate that the proposed identifi cation procedure, employing the Levenberg–Marquardt algorithm and a two-layered RNN, requires lower computational complexity than the conventional identifi cation procedures at comparable performance.