• Journal of the Korean Geosynthetics Society
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• v.15 no.2
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• pp.65-75
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• 2016

In this study, we constructed a database by collecting field pullout test data of the soil nailing using pressurized grouting, and suggested a method to estimate the ultimate pullout resistance using nonlinear regression analysis to overcome the problems of ultimate pullout resistance estimation using graphical methods. The load-displacement curve estimated by nonlinear regression showed a very high correlation with the field pullout test data. Estimated ultimate pullout load by nonlinear regression method was average 29% higher than estimated ultimate pullout load using previous graphical method. A sigmoidal growth model was found to be the best-fitting nonlinear regression model against rapid pullout failure. Further, an asymptotic regression model was found to be the best fit against progressive nail pullout. The unit ultimate skin friction suggested in this research reflected in the domestic geotechnical characteristics and the specifications of the pressurized grouting method. This research is expected to contribute towards establishing an independent design standard for the soil nailing by providing solutions to the problems that occur when using design charts based on foreign research.

• Journal of Nutrition and Health
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• v.9 no.2
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• pp.24-39
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• 1976

The present study was undertaken to investigate the metabolic problems of high carbohydrate and cellulose diets of Korean. Forty males and same number of females of Albino rats, aged $45{\pm}5$days were divided into 95% high carbohydrate (H. CHO)group, 83.8% medium carbohydrate (M. CHO)group, 50% low carbohydrate (L. CHO) group and standard (Stand). group containing 72.2% sugar. Each group was divided into two again-1.55% cellulose group and non-cellulose group, 10 rats each of eight groups in both sexes. Cellulose was added to each of non-cellulose diets in the forms of spinach powder and rice bran. After 14 weeks the rats were sacrificed for chemical analysis and the results were elucidated as follows. (1) H. CHO+Cell. group showed the lowest value in body weight gained and shrinkage of almost all organs, in contrast with this group the L.CHO group showed higher body weight gained than Stand. group. M. CHO+Cell, group showed much the same body weight gained curve as Stand. group. (2) It was observed that cellulose group showed lower F.E.R and P.E.R value than non-cellulose group comparatively. (3) Total nitrogen retention and retention rate were decreaced in H. CHP groups compared with M. CHO or L. CHO groups. (4) The amount of feces was increased due to addition of cellulose to experimental diets and in accordance with the increasing total fecal excretion of nitrogen and glucose was also increased, especially noticeable in fecal glucose excretion. (5) It was noteworthy that serum cholesterol level was decreased due to addition of cellulose in H. CHO group and L. CHO group. (6) M. CHO+Cell. group was designed to reflect the average survey data of Korean diets and there was no significant differences on body weight gained, F.E.R, P.E.R, total nitrogen retention and hematology between M. CHO+Cell. and Stand. group. Total glucose excretion was increased due to dietary cellulose in M. CHO+Cell. group, but it seemed to be no metabolic problems in this group.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.27-31
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• 2011

우리나라의 지점들은 강우자료 관측기간이 다른 나라에 비해 상대적으로 짧고 50년이 넘는 지점이 적기 때문에 지점빈도해석에 의한 확률강우량 추정시 불확실성을 내포하는 문제점을 갖고 있다. 또한, 긴 재현기간에 대한 확률강우량 추정시 더 큰 불확실성이 내포되는데 이러한 이유로 짧은 강우 관측기간의 문제를 보완하고자 지역빈도해석 기법에 대한 연구가 진행되고 있다. 본 연구에서는 전국의 838개소 지점자료로부터 지속기간별 연 최대 강우자료를 추출하였으며, FORGEX 기법의 절차에 따라 확률강우량을 추정하고자 하는 대상지점을 중심으로 네트워크를 구성하였다. 강우자료에 대하여 자료 이상치 보정 후 지속시간별 연 최대강우량 자료를 추출하여 신뢰성 있는 자료를 구축하였다. 구축된 자료를 토대로 중앙값(median)을 이용하여 표준화하였으며 자료 보존기간이 상대적으로 긴 대상지점들을 중심으로 네트워크를 형성하였다. 네트워크별로 pooled points 자료와 netmax 자료를 매년마다 추출하여 구축하였고 이 자료를 이용하여 성장곡선을 유도한 뒤 긴 재현기간에 대한 확률강우량을 구하였다. 또한, 우리나라 강우자료의 지역빈도해석에 적합한 모집단 성장곡선으로부터 netmax 자료의 분포 위치를 조사하기 위하여 강우지점자료를 토대로 기존의 영국에서 사용된 $lnN_e$식이 아닌 새로운 $lnN_e$식을 산정하여 FORGEX기법을 적용하였다. $lnN_e$식은 GEV분포를 토대로 기상청 산하 545개소 지점자료를 이용하여 산정하였다. 지점빈도해석과 FORGEX 그리고 새로운 $lnN_e$식이 도입된 FORGEX기법을 적용하였고, 긴 재현기간에 대한 확률강우량 값을 비교 분석하였다.

• Journal of Microbiology and Biotechnology
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• v.28 no.7
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• pp.1209-1216
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• 2018

This study aimed to evaluate the antimicrobial activity of 2-phenylethynyl-butyltellurium (PEBT) in Escherichia coli and the relation to its pro-oxidant effect. For this, we carried out the disk diffusion test, minimum inhibitory concentration (MIC) assay, and survival curve analysis. We also measured the level of extracellular reactive oxygen species (ROS), activity of the antioxidant enzymes superoxide dismutase (SOD) and catalase (CAT), and level of non-protein thiols (NPSH). PEBT at 1.28 and 0.128 mg/disk exhibited antimicrobial capability in the disk diffusion test, with an MIC value of 1.92 mg/ml, whereas PEBT at 0.96, 1.92, and 3.84 mg/ml inhibited bacterial growth after a 9-h exposure. PEBT at 3.84, 1.92, and 0.96 mg/ml increased extracellular ROS production, decreased the intracellular NPSH level, and reduced the SOD and CAT activities. Glutathione or ascorbic acid in the medium protected the bacterial cells from the antimicrobial effect of PEBT. In conclusion, PEBT exhibited antimicrobial activity against E. coli, involving the generation of ROS, oxidation of NPSH, and reduction of the antioxidant defenses in the bacterial cells.

• Environmental and Resource Economics Review
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• v.28 no.4
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• pp.583-615
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• 2019

This paper investigates the level of decoupling between greenhouse gas emissions and economic growth in Korea. Despite previous studies mainly stressed the existence of the Environmental Kuznets Curve, the lack of investigations in the level of decoupling constraints further policy suggestions. This study analyzes the level of decoupling in the short- and long-term, focusing on short-term volatility of GHG emissions income elasticity. In the long run, there is no decoupling in Korea because a robust causal relationship exists between GHGs, GDP, and fossil fuels. However, the short-term volatility is clearly identified under the long-term equilibrium(coupling), indicating there is the relative decoupling in the short run. The results show that fossil fuel dependence is a significant factor that increases short-term volatility(decoupling) and breaks the causal link(coupling) between GHGs and GDP.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.335-335
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• 2012

기후변화에 의한 미래 수문량 전망에 대한 연구는 전지구 모델 결과를 바탕으로 이루어진다. 현재 전지구 모델의 모의 결과 생산된 강우 자료는 기상청에서 제공되며, 제공된 자료는 기상청 관측 지점에 국한되어 있다. 어떤 유역의 확률홍수량 전망은 유역내 강우 지점의 확률강우량을 강우-유출 모형인 HEC-1에 입력하여 추정할 수 있다. 한강 유역과 같은 대유역의 확률홍수량을 구하기 위해서는 유역내 기상청 관측 지점만으로는 지점수가 부족하기 때문에 국토해양부나 수자원공사 관할의 지점 자료를 활용한다. 하지만 이러한 대유역의 미래 확률홍수량을 전망하고자 하는 경우에 제공되는 전지구 모델 결과가 기상청 지점에 국한되어 있어 다른 지점의 확률강우량을 산정하는 데 어려움이 있다. 본 연구에서는 이러한 문제를 보완하기 위해 지역빈도해석을 이용하여 미래 전망 자료가 없는 지점들의 확률강우량을 추정하였다. 지역빈도해석을 수행하기 위해서는 관측 자료가 있는 유역내 지점들의 특성치(site characteristics)를 바탕으로 지역을 구분하고, Hosking and Wallis(1997)가 제안한 이질성 척도(heterogeneity measure)를 근거로 구분된 지역의 수문학적 동질성 여부를 검토하며, 각 지역에 대한 성장곡선(growth curve)를 추정한다. 지역별로 추정된 성장곡선에 지점의 연최대값 평균을 곱하면 그 지점의 확률강우량을 추정할 수 있다. 따라서 미래 기간의 지역별 성장곡선과 지점의 연최대값 평균을 전망할 수 있으면, 미래 기간의 지점별 확률강우량을 산정할 수 있고, 이를 바탕으로 확률홍수량도 전망할 수 있다. 이를 위해 본 연구에서는 전지구 모델에서 모의된 강우 자료를 바탕으로 미래 기간의 성장곡선을 추정하고, 과거 대비 미래 기간의 지속기간별 연최대값 평균의 비율을 산정하여 모의 자료가 없는 지점에 적용함으로써 미래 기간의 연최대값 평균을 산정하였으며, 이를 바탕으로 미래 기간의 확률강우량을 산정하도록 하였다. 이 기법의 신뢰도를 검증하기 위해 관측 자료를 두 기간으로 구분하여, 이 기법을 적용하여 추정한 확률강우량과 관측 자료로부터 산정한 확률강우량을 비교하였다.

• Journal of agriculture & life science
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• v.45 no.3
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• pp.9-18
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• 2011

This study was performed to investigate species diversity of understory in Mt. Biryong. The quadrat size was installed based on the result of analysis of Species-Area Curve. The vascular plants were enlisted 107 taxa: 47 families, 80 genera, 91 species, 11 varieties, 2 subspecies, and 3 forms. The three taxa such as Carex okamotoi, Philadelphus schrenkii var. schrenkii, and Weigela subsessilis were enlisted from the surveyed sites as the Korean endemic plants. Due to the list from the Korea Forestry Administration, Rhododendron micranthum was enlisted as the rare plant. The growth from was categorized followed by forbs, shrubs and trees, respectively.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.836-840
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• 2011

In order to isolate thermophilic compost-promoting bacteria with high activity of cellulase and xylanase, spent mushroom substrates with sawdust were collected from mushroom cultivation farm, Jinju, Gyeongnam in Korea. Among of the isolates, one strain, designated SJ21 was selected by agar diffusion method. The strain SJ21 was identified as members of the Bacillus lincheniformis by biochemical characteristics using Bacillus ID kit and VITEK 2 system. Comparative 16S rDNA gene sequence analysis showed that strain SJ21 formed a distinct phylogenetic tree within the genus Bacillus and was most closely related to Bacillus subtilis with 16S rDNA gene sequence similarity of 99%. On the basis of its physiological properties, biochemical characteristics and phylogenetic distinctiveness, strain SJ21 was classified within the genus Bacillus, for which the name Bacillus sp. SJ21 is proposed. The cellulase and xylanase activity of Bacillus sp. SJ21 was slightly increased according to bacterial population from exponential phase to stationary phase in growth curve for Bacillus sp. SJ21.

• Korean Journal of Metals and Materials
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• v.46 no.8
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• pp.495-505
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• 2008

With the high proportion of zinc coated steels in body-in-white assembly, newly developed surface roughness textured galvannealed steel sheets have been introduced. In this study, zinc coated and surface roughness textured steel sheets were welded by resistance spot welding to investigate its weldability including electrode wear test. Based on the results of tensile-shear test, nugget diameter changes, and electrode tip growth test, it was clear that both surface roughness textured steels (GA-T and GA-E) showed good weldability. Also, there was no large difference in weldability and electrode wear behavior between GA-T and GA-E steels which have different surface roughness morphology. An analysis of electrode degradation showed Fe and Zn penetration through the electrode tip surface at 2400 welds reached $55{\sim}60{\mu}m$ and $75{\sim}80{\mu}m$, respectively. Therefore, there is no significant effect of surface roughness morphology on spot weldability of surface roughness textured galvannealed steel sheets. However, slight difference in thickness of alloying layers existing on electrode tip was found between GA-T and GA-E steels.

• Communications for Statistical Applications and Methods
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• v.29 no.5
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• pp.499-512
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• 2022

Intervention measures have been implemented worldwide to reduce the spread of the COVID-19 outbreak. The COVID-19 outbreak has occured in several waves of infection, so this paper is divided into three groups, namely those countries who have passed the pandemic period, those countries who are still experiencing a single-wave pandemic, and those countries who are experiencing a multi-wave pandemic. The purpose of this study is to develop a multi-wave Richards model with several changepoint detection methods so as to obtain more accurate prediction results, especially for the multi-wave case. We investigated epidemiological trends in different countries from January 2020 to October 2021 to determine the temporal changes during the epidemic with respect to the intervention strategy used. In this article, we adjust the daily cumulative epidemiological data for COVID-19 using the logistic growth model and the multi-wave Richards curve development model. The changepoint detection methods used include the interpolation method, the Pruned Exact Linear Time (PELT) method, and the Binary Segmentation (BS) method. The results of the analysis using 9 countries show that the Richards model development can be used to analyze multi-wave data using changepoint detection so that the initial data used for prediction on the last wave can be determined precisely. The changepoint used is the coincident changepoint generated by the PELT and BS methods. The interpolation method is only used to find out how many pandemic waves have occurred in given a country. Several waves have been identified and can better describe the data. Our results can find the peak of the pandemic and when it will end in each country, both for a single-wave pandemic and a multi-wave pandemic.