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이백 계명대학교 산업기술연구소 1990 産業技術硏究所 論文報告集 Vol.13 No.2
선형제약식을 가지는 문제의 가능해를 구하기 위한 사영법에 근거한 해법을 제시하였다. 목적함수의 형태에 따라 해공간의 내부 혹은 경계상의 해를 쉽게 찾을 수 있으며 앞으로의 연구의 확장방향을 제시하였다. To find feasible points of linealry constrained problems, a projection method is developed with respect to the nonnegativity constrain, it is possible to generate both boundary and intetrior point. Further extension for the study is suggested.
李栢 啓明大學校 産業技術硏究所 1980 産業技術硏究所 論文報告集 Vol.2 No.-
에너지수요예측에 있어서 일반적으로 중요시 되고 있는 인자로서 경제성장을, 장래의 에너지가격, 경제성장과 에너지가격 변화가 에너지 수요에 미치는 파급효과의 크기, 에너지 사용 기술의 변화 등이 있다. 본 연구에서는 총합적 에너지수요예측을 위한 단순모형을 이용하여 상기 제인자가 에너지수요에 미치는 영향을 체계적으로 분석하고 모형의 매개변수 값의 적정범위를 결정하고자 한다. There are a few factors which are crucial in energy demand projections such as the rate of economic growth, the response of energy demand to economic growth, the response of energy demand to economic growth, the future level of energy price, the response of energy demand to energy price changes, and the speed of adjustment of energy efficiencies. In this note, using a simple model of aggregate energy demand, a useful sensitivity analysis method is developed, which investigates the uncertainty surrounding each factor described above.
분할기법에 근거한 시간-비용 절충형 프로젝트 일정문제의 해법
李栢 계명대학교 산업기술연구소 1991 産業技術硏究所 論文報告集 Vol.14 No.2
In the study, we consider a project in which activity has multiple durations with different costs associated. Subproblems can be generated in the form of scheduling problems. A solution method based on the decomposition is developed. A numerical example is presented.
Effectiveness and timing of ultrasound as early prenatal predictive factor of LGA
이백,손가현 대한산부인과학회 2012 대한산부인과학회 학술대회 Vol.98 No.-
To study the predictability of early prenatal diagnosis through fetal abdominal circumference measurement with serial ultrasound during pregnancy. A prospective study was performed among 125 pregnant women diagnosed with fetal macrosomia. Ultrasound was used to measure the abdominal circumference of the fetus. The timing of ultrasound and its diagnosis rate of macrosomia were investigated in order to analyze the statistical significance and correlation of the ultrasound timing and final macrosomia diagnosis. Among the group of pregnant women who had prenatal ultrasound at week 20 of pregnancy, 21 patients received a final diagnosis of macrosomia in the fetus group with less than a 75% percentile of abdominal circumference while 5 were diagnosed as macrosomia in those with over 75% percentile. As for the group who received ultrasound around week 28, 15 in the fetal group with an abdominal circumference of less than 75% were finally diagnosed as macrosomia while 11 in the group over 75% percentile received a final diagnosis of macrosomia. In the pregnant women group who had ultrasound performed at full term, 5 in the group less than 75% percentile of abdominal circumference were diagnosed as macrosomia, compared to the 21 fetuses in the group over 75% percentile. Comparing the results of prenatal ultrasound at week 20, week 28, and at full term, the chance of receiving final diagnosis of macrosomia through ultrasound was higher as they reached full term which was a statistically significant outcome. If there was no finding of macrosomia in the ultrasound performed around week 28 and if the mother did not have any other risk factors, the possibility of the fetus not being macrosomia until full term was high and also statistically significant. Prenatal ultrasound around week 28 could be used for negative prediction to some degree. Thus, if a proper formula is developed for pregnant Korean women through more studies, prenatal ultrasound could be meaningfully applied to predict the risk and account for the final diagnosis of macrosomia.
李栢 계명대학교 산업기술연구소 1984 産業技術硏究所 論文報告集 Vol.6 No.-
In this paper, we consider the optimal production lot size problem for multi-stage assembly systems where each may have many predecessors but only a single successor. Using the assumption that the optimal lot size at each stage is an integer multiple of the lot size at the successor stage, we construct a dynamic programming algorithm for computation of optimal lot sizes. In this paper, we consider the optimal production lot size problem for multi-stage assembly systems where each stage may have many predecessors but only a single successor. Using the assumption that the optimal lot size at each stage is an integer multiple of the lot size at the successor stage, we construct a dynamic programming algorithm for computation of optimal lot sizes.