• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.267-274
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• 2016

This study is planned to investigate the change in blood limpid and oxygen-carrying factors of middle-aged women through 12 weeks of circuit weight training. The participants worked out three times a week for 50 minutes each, with 50-80% of 1RM intensity. As such, the purpose of the study and the procedure brought about the following conclusions. First, the query results of blood limpid showed that the total amount of cholesterol, triglycerides in the blood, and low-density lipoprotein cholesterol decreased significantly, and the amount of high density lipoprotein cholesterol did not show an increase. Second, the results of oxygen-carrying factors showed that the number of oxygen-carrying red blood cells, hemoglobin, and hematocrit showed an increase. Therefore, this circuit weight training program which used weights of the geological landscape is considered as an effective way to exercise, since it had a positive impact on the oxygen-carrying capacity and cardiovascular disease prevention

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.295-299
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• 2011

자연계에서 토양의 침식 및 퇴적 반복적 과정은 매우 복잡한 형태로 발생하며, 호우로 인한 토사유출은 유역의 지형 및 지질학적 특성과 수문기상학적 특성 등에 의해 매우 민감하게 반응한다. 즉, 토양 침식 및 퇴적은 유역의 형상, 토양종류, 토지 이용 및 피복상태, 강우사상 등에 따라 시 공간적 분포가 다양하게 변화한다. 따라서 유역내 침식 및 퇴적의 시·공간적 변동성을 분석하기 위해서는 지형학적 특성인자와 수문기상학적 특성인자에 따른 유역내 수문학적 응답을 이해해야 한다. 본 연구에서는 분포형 강우-유사-유출 모형을 이용하여 용담댐 상류 천천유역을 대상으로 Strahler 하천차수구분법에 의해 유역을 차수별 소유역으로 구분하고, 지형학적 특성인자(유역면적, 지표흐름 이동거리, 국부경사)와 수문학적 특성인자(총 강우량)에 따른 침식 및 퇴적의 공간분포 변화에 대하여 분석하였다.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2006.04a
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• pp.333-337
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• 2006

논산지역의 간이상수도 수질을 모니터링한 결과 약 13-21% 정도가 간이상수도 수질기준을 초과하는 것으로 확인되었으며 그 원인은 주로 질산성질소, 탁도, 일반세균 등에 의함을 알 수 있었다. 연구지역의 지하수 수질에 영향을 미치는 인자를 정량적으로 해석하기 위하여 토지이용도, 토양도 및 지질도를 작성하여 판별분석을 수행하였다. 판별분석 결과 지하수 수질과 지질은 겉보기 오차율이 5.56%로 매우 밀접한 상관성을 나타내었으나 토지이용과는 52.63%로 상관성이 없는 것으로 나타났으며 이는 점오염원의 효과를 고려하지 못하였기 때문으로 사료된다. 토양특성과는 오차율이 13.16%로 비교적 잘 일치하는 결과를 보여주었으며 이는 토양발달이 지질과 밀접한 상관성을 가지기 때문으로 판단된다.

• The Journal of Engineering Geology
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• v.26 no.1
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• pp.23-32
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• 2016

This study evaluates landslide susceptibility using statistical analysis by SVM (support vector machine) and the illite index of clay minerals extracted from ASTER(advanced spaceborne thermal emission and reflection radiometer) imagery which can be use to create mineralogical mapping. Landslide locations in the study area were identified from aerial photographs and field surveys. A GIS spatial database was compiled containing topographic maps (slope, aspect, curvature, distance to stream, and distance to road), maps of soil properties (thickness, material, topography, and drainage), maps of timber properties (diameter, age, and density), and an ASTER satellite imagery (illite index). The landslide susceptibility map was constructed through factor correlation using SVM to analyze the spatial database. Comparison of area under the curve values showed that using the illite index model provided landslide susceptibility maps that were 76.46% accurate, which compared favorably with 74.09% accuracy achieved without them.

• The Journal of Engineering Geology
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• v.8 no.1
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• pp.1-12
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• 1998

The fracture size among geometric parameters of the fracture system is treated as one of the most important factors in the geotechnical and hydrogeological analysis. However, several uncertainties in data acquisition and analysis pmcess about the fracture size are not clear yet. This study presents the current status on the estimation of the fracture size and verifies the estimating method using forward modeling approach. The factors considered are the variation of fracture intersection probabilities with different assumptions on the orientation of sampling planes and fracture size by using a simulated tleee dimensional fracture network model. If it is possible to analyze precisely the fracture intersection probabilities and the characteristics of probabilistic distnbution fiom cavern walls, outcrops or boreholes,the actual fracture size developed in rock rnass can be estimated confidently.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.673-687
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• 2023

Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

• Bulletin of Food Technology
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• v.15 no.1
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• pp.62-68
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• 2002

사과급여가 지질대사에 미치는 효과를 40마리의 Wistar rats에 0.3% 콜레스테롤을 첨가한 반정제식이를 급여하여 조사하였다. 사과첨가군는 일반식이중 전분함량(15%)을 동결건조시킨 사과(Gala 품종)로 대체하였으며, 대조군은 사과에서 유래되는 당함량을 대신하여 전분중 13%를 과당/포도당/ 전분의 혼합물로 대체하였다. 실험식이에서 지방원은 옥배유 사용하였으며, 식이중 비타민E는 요구량의 1/3정도 첨가하였다. 실험쥐는21일간의 적응기간을 걸쳐 선별하였다. 사과급여군에서, 사과에서 유래되는 식이섬유소량이 소량(약 2%)임에도 불구하고 혈장내 콜레스테롤이 유의적으로 낮아지는 경향을 보였으나, 콜레스테롤 첨가군에서는 간에 콜레스테롤 에스테르가 축적되는 결과를 보였다. 사과급여군에서 지단백질 형상이 크게 다르게 나타났는데, 이는 중성지방이 많은 지단백질(TGRLP) 콜레스테롤이 감소되고 HDL 콜레스테롤은 증가되는 결과를 보여 심장관련질환 예방에 효과가 있을 것으로 추정되었다. 또한, 사과가 콜레스테롤 흡수를 크게 저하시키는 것으로 추정되나 담즙산의 분해에는 영향을 주지 않는 것으로 나타났다. 이와 같은 결과로 사과식이군이 대조군에 비해 혈장 FRAP가 높고 뇨중의 MDA 추출물이 감소하는 경향을 보여 산화억제효과도 있는 것으로 나타났다. 따라서 후식으로 적당량의 사과를 섭식하는 것이 지질과 과산화성 인자에 바람직한 영향을 주는 것으로 나타났다.

• The Journal of Engineering Geology
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• v.17 no.2 s.52
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• pp.263-270
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• 2007

Tunnel behavior measured by monitoring during construction is a main item for safety evaluation and it depends widely upon local geological characteristics. To assess in this study how much the geological factors influence on tunnel behavior for each RMR factor, a quantification analysis was carried out using tunnel face maps and measurements as explanatory variables and dependent variables, respectively. The results showed that average significance of the influence of RMR factors - R1, R2, R3, R4 and R5, on tunnel displacements are 17.0%, 20.4%, 20.4%, 11.6% and 30.6%, respectively, and this probably indicates that the groundwater condition played a significant role for the tunnel displacement.

• Journal of radiological science and technology
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• v.34 no.3
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• pp.195-201
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• 2011

We studied the relationship between prediction parameters and bone mineral density for pre-and-post menopausal women. We measured BMI%Fat by BIA, blood pressure and lipid profiles for 483 adult women who are in NPO state. SBP, TC, TG, LDL have significant statistical value in the postmenopause women group and postmenopause woman. The value of postmenopause women of these parameters are lower than premenopause woman. BMD has the most strongest relationship with LBM. The BMD and LDL level of postmenopause women have statistically negative relationship. The results show that for the premenopause cases, weight, BF, and HDL level were the major factors which affect the BMD. For postmenopause cases, however, weight, age, and LDL level turned out to be the most significant factors.

• Tunnel and Underground Space
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• v.33 no.5
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• pp.348-372
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• 2023

In relation to the high-level radioactive waste disposal project in deep fractured rock aquifer environments, it is essential to evaluate hydrogeological characteristics for evaluating the suitability of the site and operational stability. Such subsurface hydrogeological data is obtained through in-situ tests using boreholes excavated at the target site. The accuracy and reliability of the investigation results are directly related to the selection of appropriate test methods, the performance of the investigation system, standardization of the investigation procedure. In this report, we introduce the detailed procedures for the representative test method, the constant pressure injection test (CPIT), which is used to determine the key hydrogeological parameters of the subsurface fractured rock aquifer, namely hydraulic conductivity and storativity. This report further refines the standard test method suggested by the KSRM in 2022 and includes practical field application case conducted in volcanic rock aquifers where this investigation procedure has been applied.