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바이오어쎄이 측정오차의 통계적 분포가 섭취량 추정판에 미치는 영향
이태영,김종경,Lee, T.Y.,Kim, J.K. 대한방사선방어학회 2006 방사선방어학회지 Vol.31 No.1
본 연구의 목적은 바이오어쎄이 측정오차의 통계적 분포가 섭취량 추정값에 미치는 영향을 분석하여 오차의 분포를 선정하는데 필요한 기준을 제시하는데 있다. 이를 위하여 본 연구에서는 오차가 정규분포와 대수정규분포를 따른다고 가정한 경우에 대해 최대우도법을 사용하여 섭취량을 평가하였고 그 결과를 서로 비교해 보았다. 본 연구의 결과에 따르면, 검출한도보다 약간 높은 값을 갖는 폐 잔류량 측정결과의 경우 두 분포사이에서의 차는 거의 무시할 수 있을 정도로 작게 나타났다. 그러나 일일 소변 배설률에 대한 측정결과의 경우 오차가 대수정규분포를 따른다고 가정하였을 때의 결과가 정규분포를 따른다고 가정하였을 때의 결과보다 거의 10 % 정도 높게 평가되었다. 이러한 사실로 비추어 볼 때 불착도 요소가 계측통계 오차에 주로 기인되는 경우 오차의 분포가 섭취량 추정값에 거의 영향을 미치지 않는 것으로 사료되나, 불확도 요소에서 그 이외의 오차가 지배적인 경우에는 대수정규분포를 가정하여 섭취량을 추정하는 것이 바람직하다고 판단된다. The purpose of this study is to provide the guidance necessary for making a selection of error distributions by analyzing influence of statistical distribution for a type of bioassay measurement error on the intake estimation. For this purpose, intakes were estimated using maximum likelihood method for cases that error distributions are normal and lognormal, and comparisons between two distributions for the estimated intakes were made. According to the results of this study, in case that measurement results for lung retention are somewhat greater than the limit of detection it appeared that distribution types have negligible influence on the results. Whereas in case of measurement results for the daily excretion rate, the results obtained from assumption of a lognormal distribution were 10 % higher than those obtained from assumption of a normal distribution. In view of these facts, in case where uncertainty component is governed by counting statistics it is considered that distribution type have no influence on intake estimation. Whereas in case where the others are predominant, it is concluded that it is clearly desirable to estimate the intake assuming a lognormal distribution.
이태영(T. Y. Lee),김영무(Y. M. Kim),이성호(S. H. Lee),이경훈(K. H. Lee) 한국소성가공학회 2013 한국소성가공학회 학술대회 논문집 Vol.2013 No.10
The finite element based process model has been very successful in the industry to model a wide range manufacturing processes. However, the current finite element method based process modeling system is deterministic in nature. In real production environment, variations in material properties, processing conditions, and boundary conditions impact the robustness of the process models, a capability to carry out DOE(Design of Experiments) has been developed in the commercial software system, DEFORM<SUP>TM</SUP>. The liner should have a small grain size to supplement its own structural weakness. In this paper, based on DOE, minimum and maximum effective stain in the specific region of interest on final product with respect to the variations of the variations of the billet height and punch geometry is studied. The effective strain, as alternative parameter to show its grain size, was analyzed to find the best manufacturing process for the liner.
이태영(T. Y. LEE),서연미(Y. M. SEO),한경호(K. H. HAN),남기일(K. I. Nam) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
Natural gas liquefaction is one of highly energy-intensive processes throughout the overall natural gas supply chain. The optimization of the liquefaction processes offers a lot of opportunities to reduce the operational and capital costs. Thus, many previous studies have tackled this kind of problems of optimizing natural gas liquefaction process conditions and have also suggested new liquefaction processes. In this study a single mixed refrigerant (SMR) process on the LNG FPSO is optimized using genetic algorithm. The objective function value (OFV) of the problem is the total energy consumption, and the variables including operational conditions (pressures, temperatures and flowrates) and the composition values of the mixed refrigerant used in this process are considered to solve this optimization problem. In addition, an analysis procedure fully using the merits of genetic algorithm is suggested to evaluate the optimization results.