• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집B
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• pp.865-870
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• 2000

The flow and the moisture contamination of the dry room in the manufacturing process of lithium ion battery are analyzed numerically by finite volume method. Standard ${\kappa}-{\varepsilon}$ turbulent model widely applied in predicting turbulent flow is adopted in this study. Moisture contamination and distribution are studied by assumption of two cases; one-point generation and uniform generation throughout the room. To evaluate ventilation efficiency on moisture contamination, scales of ventilation efficiency are introduced. From these analyses, moisture contamination is strongly dependent on the flow field and the radius of moisture contamination can be reduced by closing a part of outlets in a dry room.

• Journal of Advanced Marine Engineering and Technology
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• 제20권5호
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• pp.45-57
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• 1996

Flow characteristics and contamination behavior in a three-dimensional room with the desk-type obstacle have been investigated numerically by the k-${\varepsilon}$ two equation turbulence model. The room model has one supply opening on the ceiling and two exhaust openings on the side walls. Thirty six sets of calculation have been performed for twelve contamination sources of $1{\times}10^{-4}kg_c/(m^3{\cdot}s)$ strength at different inlet velocities(0.1, 1, 10m/s). This study can conclude that the source points of contaminant are located near the obstacle edge of Z-axis, at which the maximum contaminant diffusion fields are occured.

• Geomechanics and Engineering
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• 제12권5호
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• pp.753-770
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• 2017

The coagulation or flocculation of cohesive clay suspensions is one of the most widely used treatment technologies for contaminated water. Flocculated clay can transport pollutants and nutrients in ground water. Coagulants are used to accelerate these mechanisms. However, existing coagulants (e.g., polyacrylamide, polyaluminum chloride) are known to have harmful effects in the environment and on human health. As an alternative, eco-friendly coagulant, this study suggests ${\varepsilon}-polylysine$, a cationic biopolymer fermented by Streptomyces. A series of sedimentation experiments for various ${\varepsilon}-polylysine$ concentrations were performed, and the efficiency of sedimentation with ${\varepsilon}-polylysine$ was estimated by microscopic observation and light absorbance measurements. Two types of sedimentation were observed in the experiments: accumulation sedimentation (at 0.15%, 0.20%, 0.25% ${\varepsilon}-polylysine$) and flocculation sedimentation (at 0%, 0.1%, 0.5%, 1.0%, 2.0% ${\varepsilon}-polylysine$). These sedimentation types occur as a result of the concentration of counter ions. Additionally, the performance of ${\varepsilon}-polylysine$ was compared with that of a previously used environmentally friendly coagulant, chitosan. The obtained results indicate that flocculation sedimentation is appropriate for contamination removal and that ${\varepsilon}-polylysine$ functions more efficiently for clay removal than chitosan. From the experiments and analysis, this paper finds that polylysine is an alternative eco-friendly coagulant for removing chemical contaminants in groundwater.

• Journal of Radiation Protection and Research
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• 제41권2호
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• pp.149-154
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• 2016

Background: Any real application of Bayesian inference must acknowledge that both prior distribution and likelihood function have only been specified as more or less convenient approximations to whatever the analyzer's true belief might be. If the inferences from the Bayesian analysis are to be trusted, it is important to determine that they are robust to such variations of prior and likelihood as might also be consistent with the analyzer's stated beliefs. Materials and Methods: The robust Bayesian inference was applied to atmospheric dispersion assessment using Gaussian plume model. The scopes of contaminations were specified as the uncertainties of distribution type and parametric variability. The probabilistic distribution of model parameters was assumed to be contaminated as the symmetric unimodal and unimodal distributions. The distribution of the sector-averaged relative concentrations was then calculated by applying the contaminated priors to the model parameters. Results and Discussion: The sector-averaged concentrations for stability class were compared by applying the symmetric unimodal and unimodal priors, respectively, as the contaminated one based on the class of ${\varepsilon}$-contamination. Though ${\varepsilon}$ was assumed as 10%, the medians reflecting the symmetric unimodal priors were nearly approximated within 10% compared with ones reflecting the plausible ones. However, the medians reflecting the unimodal priors were approximated within 20% for a few downwind distances compared with ones reflecting the plausible ones. Conclusion: The robustness has been answered by estimating how the results of the Bayesian inferences are robust to reasonable variations of the plausible priors. From these robust inferences, it is reasonable to apply the symmetric unimodal priors for analyzing the robustness of the Bayesian inferences.

• Environmental Analysis Health and Toxicology
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• 제21권4호
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• pp.375-380
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• 2006

Endocrine disrupting chemicals (EDC) have been emphasized due to their threats in human health. Waste incinerator emission has been emphasized as a source of EDC including polychlorinateddibenzofurans(PCDD/F) and other carcinogenic polycyclic aromatic hydrocarbons (PAHs). Urinary 1-hydroxypyrene (1-OHP) has been used as an exposure biomarker for the PAHs. On the other hand, etheno-DNA adducts, e.g. 1, $N^6-ethenodeoxyadenosine({\varepsilon}dA)$, has been developed as an useful effective or response biomarker for carcinogenesis. Thus, I investigated association between urinary 1-OHP and ${\varepsilon}dA$ levels due to distance from an incinerator which was built more 10 years ago in the middle of a farm in P city. I designated the EDC-high and low exposed group due to distance from the incinerator, i.e. within 2.5km and $5.0{\sim}7.5km$ from the incinerator, respectively. The study subjects were age and sex-matched males and females (mean age, $61.3{\pm}9.6$ yrs; total 40 persons, male, 10; female, 10 for the each group). Urinary 1-OHP and ${\varepsilon}dA$ were analyzed with HPLC-FD and IP-HPLC-FD, respectively. As results, the distance from the incinerator was not associated with urinary 1-OHP nor ${\varepsilon}dA$ levels (p=0.43 and 0.82, respectively). On the other hand, urinary ${\varepsilon}dA$ levels were significantly higher in the hyperlipidemia group (N=10) than normal group (N=30). In conclusion, urinary 1-OHP nor ${\varepsilon}dA$ levels can not be suggested as an incinerator-related exposure nor effective biomarker. However, not only distance from the incinerator bot also systemic approaches including wind and soil contamination are required to assume exposure levels of incinerator-related EDC.

• Journal of Radiation Protection and Research
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• 제24권4호
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• pp.205-213
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• 1999

지표에 오염된 방사성핵종의 단위방사능당 유효선량환산계수를 남성과 여성 인형모의피폭체와 MCNP4A 코드를 이용하여 계산하였다. 모사실험은 40 keV에서 10 MeV 영역의 19개 단일 에너지에 대한 유효선량 계산을 수행하였다. 에너지에 따른 단위 선원강도에 대한 유효선량 E를 기존 연구자들의 결과물인 유효선량당량 $H_E$와 비교한 결과, 본 연구의 E값이 USEPA의 FGR에 주어진 $H_E$ 값에 비해 30%의 편차를 보였다. 에너지와 유효선량의 관계를 polynomial fitting을 통해 구한 유효선량 감응함수는 다음과 같다. $f({\varepsilon})[fSv\;m^2]=\;0.0634\;+\;0.727{\varepsilon}-0.0520{\varepsilon}^2+0.00247{\varepsilon}^3$ 여기서, ${\varepsilon}$는 감마선의 에너지(MeV)이다. 감응함수와 ICRP 38의 방사성핵종 붕괴 자료를 이용하여 지표면과 공기 오염의 단위 방사능농도에 대한 유효선량환산계수를 계산한 후 DOSEFACTOR코드를 사용하여 계산한 베타선에 의한 피부선량을 합하여 90개의 중요 핵종들에 대한 환산계수를 평가하여 도표로 제시하였다. 기존 자료들과 비교를 통해 기존 환산계수를 사용할 경우 특히 저에너지 감마선이나 고에너지 베타선을 방출하는 핵종에 대해서 상당한 과소평가가 이루어질 수 있음을 확인할 수 있었다.

• Communications for Statistical Applications and Methods
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• 제6권2호
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• pp.511-522
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• 1999

The paper considers the problem of robustness in hierarchical bayesian models. In specific we address Bayesian robustness in the estimation of normal means. We provide the ranges of the posterior means under $\varepsilon$-contamination class as well as the density ratio class of priors. For the class of priors that are uniform over a specified interval we investigate the sensitivity as to the choice of the intervals. The methods are illustrated using the famous baseball data of Efron and Morris(1975).

• Journal of the Korean Statistical Society
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• 제27권3호
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• pp.331-348
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• 1998

In this paper, we have proposed some robust Bayes estimators using ML-II priors as well as certain empirical Bayes estimators in estimating the finite population mean in the presence of auxiliary information. These estimators are compared with the classical ratio estimator and a subjective Bayes estimator utilizing the auxiliary information in terms of "posterior robustness" and "procedure robustness" Also, we have addressed the issue of choice of sampling design from a robust Bayesian viewpoint.

• 한국자동차공학회논문집
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• 제8권3호
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• pp.181-189
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• 2000

The aerodynamic characteristics of large transport vehicle has become more and more important in recent vehicle design to improve driving performance in high speed cruising and raise the product valve with regard to a comfortable driving condition. Hence, detailed knowledge of the flow field around truck coner vane is essential to improve fuel efficiency and reduce the dirt contamination on vehicle body surface. In this study, three-dimensional flow characteristics around corner vane attached to truck cabin were computed for the steady, incompressible, and high speed viscous flow, adopting the RNG k-$\varepsilon$ turbulence model. In order to investigate the influence of configuration and structure of corner vane, computations were carried out for four cases at a high Reynolds number, Re=4.1$\times$106 (based on the cabin height). The global flow patterns, drag coefficient and the distributions such as velocity magnitude, turbulent kinetic energy around the corner vane, were examined. As a result of this study, we could identify the flow characteristics around corner vane for the variation of corner vane length and width. Also, suggest the improved structure to reduce the dirt contamination in cabin side.

• 설비공학논문집
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• 제3권5호
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• pp.350-364
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• 1991

The movements of small particles distributed uniformly in a steady flow in rectangular chambers having inlets and outlets were simulated numerically. Low Reynolds number turbulent model with a two-equation ($k-{\varepsilon}$) which describes the turbulent characteristics was applied to predict the air flow pattern and particles movements under the condition of the various locations and size of ducts. The calculation results show that the prediction of recirculation zone and stagnation point of flow is important to determine the particles behavior according to the design change. These results will be useful in designing the rectangular chambers for collective protection.