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황의준,전경수 한국수자원학회 1997 한국수자원학회논문집 Vol.30 No.5
한강 본류구간에 대한 폐합형 부정류 계산모형을 수립하였다. 수립된 모형은 가변 매개변수 모형으로서 공간적 위치 및 유량 값에 따라 각 계산점마다 조도계수의 값이 달리 주어질 수 있도록 하였다. 조도계수 및 월류 유량계수에 관한 모형도 민감도 분석을 수행하였으며, 그 결과로 Manning 조도계수를 추정 대상 매개변수로 선정하였다. 과거 홍수사상들에 대한 관측자료를 이용하여 모형의 보정 및 검증을 수행하였다. 조도계수의 최적 추정 방법으로는 수정 Gaus A multiply-connected network unsteady flow model for the main reach of the Han River is developed. It is a variable parameter model which allows variable roughness coefficient for each computational point according to the spatial position and the value of
Racing Car의 ECU 제어에 의한 가속성능 향상에 관한 연구
황의준,허장욱 한국기계가공학회 2020 한국기계가공학회지 Vol.19 No.11
The fuel injection amount and timing along with the ignition timing for the gasoline engine of a racingcar were adjusted using an electronic control unit (ECU), and the engine performance was evaluated throughan acceleration test. The fuel map for the fuel injection amount and ignition map for the ignition timingwere derived. Using the transient throttle control, the air–fuel ratio could be maintained at a constant valueeven in the case of a sudden throttle operation. In the flat shift, ignition blocking was more effective thanfuel blocking. In a 75 m acceleration test, the required duration without and with ECU control was 4.47 sand 3.99 s, respectively. Notably, the acceleration could be improved by approximately 10.7% when the ECUcontrol was implemented.
비터비 디코더의 성능 향상을 위한 역추적 알고리듬의 설계
황의준,이종화,임신일,황선영 대한전자공학회 1994 전자공학회논문지-A Vol.31 No.8
This paper proposes an efficient traceback method for parallel hardware implementation of the Viterbi algorithm. Compared to the conventional Viterbi algorithm where initial state for traceback is selected arbitrarily the proposed algorithm decides decoding output by analyzing the survivor paths of consecutive tracebacks. This makes Viterbi algorithm more efficient in error correction event when more than one survivor path exists. The proposed traceback algorithm together with its hardware realization is presented in this paper. Experimental results show tht the proposed algorithms is efficient in error correction in noisy channels compared to the existing algorithms.