• The Journal of Engineering Geology
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• v.3 no.1
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• pp.1-20
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• 1993

In this study, laboratory direct shear tests on 37 core specimens of gneiss were performed to examine the characteristics of shear behavior on fractures by using a portable direct shear box. The multi-stage shear testing method was used and normal stress applied to specimens ranges from 5.60 to $25.67kg/\textrm{cm}^2$. On the basis of test results, the empirical equations for the shear strength on fractures were suggested. The methanical parameters that can influence the shear behavior were derived and compared between each parameter. The values of shear stiffness have a trend showing rapid increase with the increase of normal stress and joint roughness coeffident, and the average value of secant shear stiffness for all specimens is about $110.68kg/\textrm{cm}^3$ under the range of normal stress applied in this test In addition, the relationship between the length of specimen and shear stiffness is inversely correlated due to the size effect. Therefore, even the specimens with the same joint roughness coeffident show the trend of decreasing shear stiffness in case of the specimens being the longer length.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.136-136
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• 2010

해색원격탐사에서 해수 type을 광학적 성질에 따라 Case-I water와 Case-II water로 구분한다. Case-I water는 기본적으로 조류 세포 및 그 쇄설물 그리고 미량의 용존 유기물을 포함하며, 맑은 해수인 대양이 이에 속한다. Case-II water는 부유 무기입자, 육상 기원입자 및 높은 용존 유기물 농도, 인간이 만든 유입물을 포함한 탁한 해수이며, 연안 해역의 해수가 이에 속한다(Gordon, 1983). Case-II water에 속하는 연안 해역의 부유사 농도는 해양 연안 환경 변화를 모니터링 할 수 있는 중요한 지표 중 하나이다. 부유사가 연안 환경, 연안 양식장, 어장 환경에 어떤 영향을 주는지 파악할 수 있다. 채수를 통하여 부유사 농도를 추정하는 것은 시간적 경제적 제약이 따른다. 하지만 위성자료와 실측 자료간의 상관관계가 잘 나타나는 계수를 유도하면, 실측없이 위성영상만 있으면 연속적인 부유사 농도 분포를 볼 수 있을 것으로 기대된다. 이런 목적으로 Landsat ETM+ 자료를 이용하여 광양만의 표층 부유사 농도를 추정하였다. 위성 통과시간에 맞춰 2009년 9월 22일과 11월 25일 2차례에 걸쳐 부유사 농도와 반사도를 광양만 16개 정점에서 측정하였다. 부유사 농도는 표층의 해수를 채수하여 GF/F 필터를 이용해 측정되었고, 반사도는 Spectroradiometer를 사용하여 350nm부터 1050nm까지 1nm 간격으로 측정되었다. Landsat ETM+ 자료와 실측 반사도는 원격반사도 $R_{rs}$로 변환되었고, 두 가지 $R_{rs}$를 실측 부유사 농도와 비교하여 부유사 농도 산출 계수를 유도하였다. 경험적으로 구한 계수를 사용하여 위성영상을 부유사 농도로 계산하였으며, 이는 같은 날의 실측 부유사 농도와 비슷한 공간분포를 나타내었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.370-370
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• 2023

수자원이란 인간의 생활이나 경제활동 및 자연환경 유지 등을 하는데 이용할 수 있는 자원으로서의 물을 말하며 효율적인 수자원의 활용을 위해서는 수문조사가 필수적이라고 할 수 있다. 수문조사는 강수량, 수위, 유량, 유사량, 증발산량, 토양수분량을 측정, 조사, 분석하는 것이라고 할 수 있으며 이 중 유량은 강우-유출 관계 규명, 이수, 치수 등을 위해 높은 정확도의 관측자료가 필요하다. 그러나 하천유량은 장기간 연속적으로 관측하는 것이 어려우므로 특성 횟수의 유량조사를 통해 수위-유량관계곡선식(Rating curve)을 개발하여 수위로부터 연속적인 유량을 산정하여 활용하고 있어 이를 개선하기 위해 전자파표면유속계를 활용한 자동유량측정장치를 개발하였으며 측정자료 분석 및 알고리즘 고도화를 통해 신뢰도 높은 유량을 산정하고자 하였다. 운동하는 물체에 의하여 산란된 전자파의 주파수가 변하게 되는 현상을 도플러 효과라고 하며 이때의 주파수의 변화량을 도플러 주파수라고 한다. 전자파표면유속계는 하천 수면으로 전자파를 발사한 후 물 표면에서 반사되는 전자파의 도플러 효과를 이용하여 표면유속을 측정하는 것으로 전자파표면유속계를 교량 상류 방향으로 고정시켜 설치하였으며 측정된 자료는 유량관측 시스템에서 저장, 관리되고 물리적, 통계적 방법이 적용된 알고리즘을 통해 유량을 산정한다. 산정된 유량의 정확도 확보를 위해 바람 영향, 최적 환산계수 재산정, 통계분석 등을 통해 시스템의 유량산정 알고리즘 개선 방안을 도출하였으며 개선된 알고리즘이 적용된 유량은 NSE(Nash Sutcliffe Efficiency), PBIAS(Percent Bias), RSR(RMSE-observations standard edviation ratio)을 통해 평가하였다. 바람 영향은 유량 관측 고도화 매뉴얼(일본 토목연구소)의 경험식과 현장에서 관측된 풍향·풍속을 활용하여 분석하였으나 개선효과가 미미한 것으로 나타났으며 자동으로 관측된 유량자료에 포함된 무작위적인 변화량을 감소시키기 위해 경향성 분석을 병행하여 이동평균 방법을 적용하였다. 또한 ADCP 등을 활용한 유량측정성과와 수위-유량관계곡선식과의 비교·분석을 통해 수위별 최적 환산계수를 산정하여 유량산정 알고리즘에 적용한 결과 NSE는 0.980, PBIAS는 1.580, RSR은 0.142로 모두 Very Good(높은 상관성)으로 분석되어 유량자료의 정확도를 확보하였다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.12 no.2
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• pp.225-236
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• 2001

Introduction：Test anxiety is a pervasive problem among high school students in Korea. While anxiety in test situations may actually facilitate the performance of some students, more often it is disruptive and leads to performance decrements. Over the past years, many child psychiatrists have become concerned with understanding the nature of test anxiety, but it is not clearly understood yet. In order to understand the nature of test anxiety, the relationship between test anxiety and depression, state anxiety, trait anxiety was examined. In addition, the relationships between the subscores of test anxiety (worry and emotionality) and the subscores of CDI, state anxiety or trait anxiety were examined. Methods：The Test Anxiety Inventory, Chidlren's Depression Inventory, State-Trait Anxiety Inventory were administered to 425 high school students in Seoul. The relationships between test anxiety and other measures were tested using Pearson correlation coefficients and to test the causal ralationship among the variables, regression analysis was performed. Results：The correlation coefficients between test anxiety and depression, state anxiety, trait anxiety were 0.56(p<0.05), 0.75(p<0.05), 0.53(p<0.05) respectively. The correlation coefficients between subscales of test anxiety and depression were all significant. The correlation between subscales of test anxiety and state and trait anxiety were also statistically significant. Conclusions：This study indicates that test anxiety is closely related with depression, state and trait anxiety. In addition, the subscales of test anxiety are significantly related with those of the depression. The correlation coefficients between test anxiety and state-trait anxiety are also statistically significant. Thus, in order to develop the preventive and effective methods for treatment, these psychopathological characteristics should be kept in mind.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.970-980
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• 2021

The purpose of this study was to examine the effects of depression, sleep, and self-esteem on a dementia preventive behavior in rural elderly people. The participants were 235 elderly people aged 60 or older who lived in J-Gun, J-Do. Data were collected using structured questionnaires and analyzed using t-test, one-way ANOVA, Scheffe test, Pearson correlation coefficients, and stepwise multiple regression with SPSS/WIN 25.0 program. There were significant differences in the dementia preventive behavior according to religion, the level of education, a cohabitation type, an economic level, and dementia education experience. Participants' dementia preventive behavior was positively correlated with self-esteem (r=.52, p<.001) and sleep (r=.31, p<.001). However, it was negatively correlated with depression (r=-.57, p<.001). Factors affecting the dementia preventive behavior were depression, self-esteem, and religion. The explanatory power of variables was 37%. To increase a dementia prevention behavior in rural elderly people, it is necessary to develop dementia prevention programs to reduce depression and improve self-esteem and to create social conditions to facilitate various social participations such as a religious activity.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.130-145
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• 2016

Soil erosion processes are affected by weather factors, such as rainfall, temperature, wind, and humidity. Among these factors, rainfall directly influences soil erosion by breaking away soil particles. The kinetic energy of rainfall and water flow caused by rain entrains and transports soil particles downstream. Therefore, in order to estimate soil erosion, it is important to accurately determine the rainfall erosivity factor(R) in RUSLE(Revised Universal Soil Loss Equation). The objective of this study is to evaluate the average annual R using 14 years(2002~2015) of 1 minute rainfall data from 55 KMA(Korea Meteorological Administration) weather stations. The R results from 1 min rainfall were compared with previous R studies using 1 h rainfall data. The determination coefficients($R^2$) between R calculated using 1 min rainfall data and annual rainfall were 0.70-0.98. The estimation of 30 min rainfall intensity from 1 min rainfall data showed better $R^2$ results than results from 1 h rainfall data. For estimation of physical spatial rain erosivity(R), distribution of annual rainfall was estimated by IDW(Inverse Distance Weights) interpolation, taking elevation into consideration. Because of the computation burden, the R calculation process was programmed using the python GUI(Graphical User Interface) tool.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.304-314
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• 2020

This cross-sectional descriptive study investigated the influence of romantic relationships' characteristics, self-esteem and sexual autonomy on limerence in dating relationships among female college students who had or were currently engaged in a dating relationship. The data was collected through self-reported structured questionnaires from 167 female Korean college students using convenient sampling methods from November 25, 2012 to December 20, 2012. The data was analyzed using t-tests, one-way analyses of variance, Scheffe's test, Pearson's correlation coefficients, and multiple linear regression analysis with the IBM SPSS 23.0 program. The results showed that a significant difference was found in limerence according to the frequency of experiencing romantic breakup (F=4.16, p=.003), and limerence in dating relationships was negatively correlated with self-esteem (r=-.31, p<.001) and sexual autonomy (r=-.21, p=.006). Self-esteem and the frequency of romantic breakups explained 20% of limerence in dating relationships among the participants (F=8.03, p<.001). Therefore, as a strategy to solve the problems related to limerence during the period of dating, cognitive and educational interventions are needed to strengthen the self-esteem and sexual autonomy of college students who have had a high number of separations. In addition, early screening of college students with risk factors for limerence and providing problem-solving based counseling will help improve their psychological health.

• Proceedings of the Korean Geotechical Society Conference
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• 1991.10a
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• pp.332-347
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• 1991

Accurate prediction of future settlement is essential for the settlement control of soft soil by pre-loading method. To predict future settlement in clayey soft soils, several methods like Asaoka method, Hyperbolic Method and Hoshino method are currently being used. These methods predict the future sett1ement by mathmatical treatment of the measured settlement data on the basis of consolidtion theory and empiricism. But the correlation coefficient between the measured and the predicted settlement was relatively low (0.8~0.9). Also, the prediction of future settlemet for the design load is very difficult. In this article, the measured field settlement data was treated as the the field consolidation test. Hence, condolidation coefficient(Cv) and compression index(Cc) was evaluated from the field settlement data. Cv and Cc values from field data was used to calculate the degree of consolidation and settlement at desired time. By this method, the correlation coefficent between the measured and the predicted settlement was significantly increased(0.97~0.99). Also the settlement by the design load after the improvement of soft soil could be predicted reasonably. This method is quite rational and sound but it requires thousands of calculation steps. Today, by the aid of low priced personal computers above mentioned technique could be used much acre economically and effectively than conventional methods. This article presented the mechanisms and capacities of this method and demonstrated the enhanced correlation coefficient when applied to actual field settlement data.

• Journal of the korean academy of Pediatric Dentistry
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• v.45 no.3
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• pp.354-362
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• 2018

Periogen is a new caries activity test using real-time polymerase chain reaction. The aim of this study was to assess the validity of Periogen by evaluating the correlation with dmft, dmfts indices and comparing with Cariview and caries risk assessment tool (CAT). 83 children under 6 participated in this study. Dmft, dmfts indices and CAT were collected through an examination of oral health status. Plaque samples for Periogen and Cariview were collected and manipulated according to the manufactures' instructions. The correlation coefficient of Periogen, Cariview and CAT with the dmfts index were 0.38, 0.56 and 0.66 in each (p < 0.01). The sensitivity of Periogen, Cariview and CAT were 43%, 76% and 95% and specificity were 80%, 72% and 74% respectively. Area under curve under the receiver operating characteristic curves in each method indicated 0.69, 0.81 and 0.85. CAT and Cariview were more effective in evaluation the risk of dental caries than Periogen so far. To be used Periogen clinically, more improvements for higher validity were needed.

• Journal of Wetlands Research
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• v.21 no.spc
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• pp.61-68
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• 2019

Recently, climate indices represented by quantifying atmospheric-ocean circulation patterns have been widely used to predict hydrologic variables for considering long-term climate variability. Hydrologic forecasting models based on artificial neural networks have been developed to provide accurate and stable forecasting performance. Forecasts of hydrologic variables considering climate variability can be effectively used for long-term management of water resources and environmental preservation. Therefore, identifying significant indicators for hydrologic variables and applying forecasting models still remains as a challenge. In this study, we selected representative climate indices that have significant relationships with dam inflow time series in the Han-River basin, South Korea for applying the dam inflow forecasting model. For this purpose, the ensemble empirical mode decomposition(EEMD) method was used to identify a significance between dam inflow and climate indices and an artificial neural network(ANN) ensemble model was applied to overcome the limitation of a single ANN model. As a result, the forecasting performances showed that the mean correlation coefficient of the five dams in the training period is 0.88, and the test period is 0.68. It can be expected to come out various applications using the relationship between hydrologic variables and climate variability in South Korea.