http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
심호식,장문준,하영록,정순미,이한식 大韓應急醫學會 1997 대한응급의학회지 Vol.8 No.1
Overcrowding of emergency departments is a growing problem. Delays in admitting patients to inpatient units have been reported as a contributing factor to overcrowding. Overcrowding in ED results in many patients not receiving needed care and impairs the ability of the ED provider to meet the needs of those patients that are treated. The effect of the critically ill patients on the overcrowded emergency department make emergency physicians frustrated. So we created the 'special unit for observation' of critically ill patients and managed them continuously and closely. The special unit for observation have 4 physical beds and monitors and 2 ventilators. One nurse and senior ED residents were asigned to the management of the patients in the special unit. 160 patients(3.4% of all ED visits) admitted to special unit during the period of March 1, 1996 to May 31, 1996. we could continue assessment and management of critically ill patients without psychologic strain or burnout generated by overcrowding. We think that special unit for critically ill patients is a very effective alternative to overcrowded ED.
원전 고등제어 알고리즘 설계를 위한 소규모 시뮬레이터 개발
나만균,심영록,신선호,노희천 조선대학교 에너지.자원신기술연구소 2003 에너지·자원신기술연구소 논문지 Vol.25 No.2
There has been a difficulty in implementing control algorithms (including even proportional-integral-derivative control algorithms) designed to verify and test to many small-scale simulators. In particular, it was almost impossible to implement advanced control algorithms to them. Therefore, it is required to develop a new simulator that facilitates the implementation of advanced control algorithms and the interface between different kinds of application programs. The objective of this work is to improve the existing small-scale simulator (FISA-2/WS) for the Kori unit 2 nuclear power plant and thus enable advanced control algorithms to be tested and verified by being applied to it. The developed simulator consists of FORTRAN, Visual C++, and MATLAB programs and an advanced control method using a receding horizon control method was applied to it to control the steam generator water level.
심영록(Sim Young Rok),서상문(Suh Sang Moon),박근옥(Park Geun Ok),구인수(Koo In Soo) 한국철도학회 2006 한국철도학회 학술발표대회논문집 Vol.- No.-
The accidents are often resulted from multiple causes with hardware failure and human errors. So to ensure the safety of rail operation, human error should be prevented effectively. The purpose of this paper is to present an analysis system on factors of influencing human error in korean rail industry especially for engine driver and train despatcher. To achieve it, ESFs(error shaping factors) classification system was derived from several PSFs(performance shaping factors) classification system. Based on them, two kinds of questionnaires for engine driver and train despatcher each were developed. Then Analytic Hierarchy Process (AHP) methodology was used to evaluate what factors were critical to human error.
심영록(Sim Young Rok),서상문(Suh Sang Moon),박근옥(Park Geun Ok) 한국철도학회 2007 한국철도학회 학술발표대회논문집 Vol.- No.-
This paper presents a review guideline for evaluating SERPs(standard emergency response procedure) in rail accidents. In order to develope it, design elements of the SERPs, that impact the performance of emergency responding personnel, were identified. Then several review guidelines and standards, being used in other industries including nuclear domain, were surveyed. Finally, the review guides and criteria corresponding to those elements were derived from the survey.
퍼지 논리 추론 방법을 이용한 사고시 대기확산 평가 개선
나만균,심영록,김숭평 대한방사선 방어학회 2001 방사선방어학회지 Vol.26 No.1
사고시 대기확산을 평가하기 위해서 USNRC Reg. Guide 1.145에 기초하여 개발된 PAVAN과 XOQAR 코드는 X/Q 값을 계산할 때, 누적빈도에 대하여 X/Q 값이 log-normal 용지에 그려진다. 이 그래프에서 가장 높은 X/Q 값으로부터 시작하여 이 점으로부터 10개의 X/Q을 포함하는 영역내의 모든 다른 점 사이와 경사를 비교하여 가장 작은 음의 경사를 갖는 선을 생성하는 계수들이 저장되며, 이 선의 끝점이 다음 영역의 시작점으로 이용되어 반복적으로 선이 그려진다. 이와 같이 그려진 선을 이용하여 누적빈도 0.5%, 5% 혹은 50%에 상응하는 X/Q 값이 계산되어, 사고 후 0∼2 시간의 X/Q 값으로 이용되며 매우 보수적인 경향을 갖게 된다. 본 논문에서는 퍼지 논리 추론계통을 이용하여 누적빈도에 대한 X/Q 값의 비선형 보간을 수행하였다. 퍼지 논리 추론계통은 비선형 보간을 위해 탁월한 방법으로 알려져 있다. 제안된 방법을 영광 원자력발전소의 잠재적 방사성물질 누출에 적용한 결과, 좀 더 현실적인 값을 제공하는 것으로 확인되었다. In order to assess the atmospheric dispersion for the accidental releases of nuclear power plants, in calculating X/Q values in the XOQAR and PAVAN codes which are based on Reg. Guide 1.145, the X/Q and frequency values are plotted on log-normal paper. Starting with the highest X/Q value of this plot, the codes compare the slope of the line drawn from this point to every other point within an increment containing ten X/Q values. If there are fewer than ten values, only the number available are used. The coefficients that produce the line with the least negative slope are saved. The end point of this line is used as the next starting point, from which slopes to the points within the next increment, containing ten X/Q values, are compared. The X/Q values corresponding to the cumulative frequency values 0.5%, 5% or 50% are calculated to search fur the 0∼2 hour X/Q values that tends to be a very conservative value. In this work, a fuzzy logic inference method is used for nonlinear interpolation of the X/Q values versus the cumulative frequency. The fuzzy logic inference method is known to be a good technique for nonlinear interpolation. The proposed method was applied to a potential accidential radioactive release of the Yonggwang nuclear power plant, which gives more realistic X/Q values.
An Input Feature Selection Method Applied to Fuzzy Neural Networks for Signal Estimation
Na, Man-Gyun,Sim, Young-Rok Korean Nuclear Society 2001 Nuclear Engineering and Technology Vol.33 No.5
It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.