• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.767-771
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• 2012

남강댐은 평지에 위치하여 댐 높이가 낮고 댐운영 수위의 편차가 작기 때문에 계획홍수위 아래 완경사 비탈면이 갈수기인 3월부터 5월 사이에 장기간 노출되어 5월 전후에 발아하는 식생 특히, 버들류가 이입, 성장하여 대규모 군락을 이루고 있다. 현재 형성된 대규모의 버들류 군락은 댐수질을 악화시킬 뿐만 아니라 자기솎음질(self-thinning)에 의해 고사한 버들류의 유목으로 인하여 댐운영에 많은 애로를 초래하고 있다. 본 연구에서는 버들류 군락 형성과 댐운영수위와의 상관관계를 도출하여 버들류를 적절하게 제어할 수 있는 댐운영 방안을 마련하기 위한 기초자료로 활용하고자 하였다. 따라서, 버들류의 이입시점을 명확히 파악하기 위하여 현재의 남강댐 건설 직후인 1979년, 2003년 2010년의 항공사진과 수심측량에 의한 지형도를 이용하여 버들류 군락의 확장 경향을 분석하였다. 또한, 버들류의 이입시점을 명확히 파악하기 위하여 방형구를 설치하여 버들류의 밀도 및 흉고직경을 조사하고, 성장추에 의한 수령을 조사, 분석하였다. 연구결과를 요약하면 다음과 같다. 남강댐 연안대에 분포하는 버들류는 총 17종이며, 출현빈도가 높은 종은 선버들(Salix nipponica), 버드나무(Salix nipponica), 왕버들(Salix gracilistyla), 등으로서 선버들(Salix nipponica)이 우점종인 것으로 조사되었다. 남강댐 연안대에 분포하는 버들류의 수령을 조사한 결과 수령은 약 9년~10년, 흉고직경 10~15cm, 수고 7~8m인 것으로 조사되었다. 댐운영수위와 버들류의 수령을 분석한 결과 2002년 5월 댐수위 38.5~41.0m 일 때 연안대의 수면부근에서 1단계로 이입, 정착한 것으로 보이며, 2004년 및 2005년 5월경에 댐수위 36m일 때 2단계로 이입, 정착하여 현재 대규모 군락을 형성한 것으로 추정된다. 남강댐 버들류 군락의 형성은 버들류의 발아기에 댐수위 부근의 습지에서 발아환경이 최적인 온도와 저토환경에서 일시에 이입, 성장한 것으로 보인다. 따라서, 남강댐과 같이 평야부에 위치한 댐에서 댐운영 및 댐수질에 영향을 미치는 버들류를 제어하기 위해서는 버들류의 발아기에 댐운영 수위를 최대한 높여 현재의 버들류 군락에 의하여 발아, 성장이 불가능하도록 하거나 아니면 댐운영 수위를 낮추어 발아해도 홍수기 동안 장기간의 침수에 의하여 고사되도록 하는 댐운영 방안을 마련해야 할 것이다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.889-897
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• 2018

Since students of the College of Maritime Sciences will become professionals contributing to the development of the Korean shipping industry after graduation, they are required to successfully complete school life including theoretical and practical curriculum with health promotion behavior. The purpose of this study was to investigate the factors influencing health promotion behavior by students of the College of Maritime Science in order to collect basic data through a survey for the development of health promotion programs. Health promotion behavior by students of the College of Maritime Sciences was less frequent than by other college students, and the levels of health promotion behavior sub-domains were lower in order of interpersonal relations, spiritual growth, stress management, nutrition, physical activity, and health responsibility. The most influential factors for health promotion behavior were learner participation, health promotion self-efficacy, self-esteem, and social support. It is necessary to develop a differentiated health promotion program considering the characteristics of students and to apply it systematically from the time of admission to improve health promotion behavior by students of the College of Maritime Sciences.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.119-128
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• 2021

The most typical method to generate traffic information is installing vehicle detectors and collecting various traffic variables. The information collection accuracy of a vehicle detector affects the reliability of the generated traffic information. The most universal vehicle detector is an image detector. This study installed a magnetic detector in the same position as an image detector and evaluated the accuracy of traffic volume and speed data depending on a variety of environment. Based on the evaluation, more errors occurred as the image detector was placed farther from the camera, whereas more errors were found to occur during the night rather than the day. Although rainfall did not affect the collection of traffic volume, it negatively affected speed data collection. Therefore, an analysis of the camera's view angle and its optimization depending on the camera installation position and height are required to enhance the currently operated image detector performance. It is judged that a separate performance evaluation criterion should be prepared in a bad weather environment.

• Journal of the Korean GEO-environmental Society
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• v.12 no.11
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• pp.23-30
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• 2011

In this study, Terzaghi's formula was modified to solve problems considering the dilatancy effect of the soil for estimating the earth pressure acting on tunnel. It is performed for the comparison with Terzaghi's formula and modified Terzaghi's formula, tunnel model test result of Kobe University Rock Mechanics Laboratory. From comparison results of the earth pressure acting on tunnel, the earth pressure calculated by the Terzaghi's formula was estimated largest value. The earth pressure measured through the tunnel model test was least value. The difference between the earth pressure derived from Terzaghi's original formula and that derived from the modified formula was caused by the dilation effect, which was caused by the soil volume change. The difference between the earth pressure derived from the modified formula and the earth pressure measured through the tunnel model test, earth pressure results from the energy making failure surface. The results of FEM analysis were almost consistent with the results of mathematical analysis.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.482-491
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• 2020

This study proposed a research model based on self-determination theory and unified theory of acceptance and use of technology to explain the factors influencing intention to use sharing economy services. A total of 392 responses were collected, and structural equation analysis was performed with AMOS 22.0. The results are summarized as follows. First, self-technological aptness and trust had a positive effect on intention to use sharing economy services. Second, access bigger market and environmental friendliness had a positive effect on intention to use sharing economy services. Third, intention to use sharing economy services had a positive effect on actual usage of sharing economy services. Finally, benefits was found to strengthen the relationship between intention to use sharing economy services and actual usage of sharing economy services. The findings of this study would provide a theoretical framework for sharing economy services and important information for understanding individuals using the sharing economy services.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.183-201
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• 2022

Estimating the implicit value of housing assets is a very important task for participants in the housing market. Until now, such estimations were usually carried out using multiple regression analysis based on the inherent characteristics of the estate. However, in this paper, we examine the estimation capabilities of the Artificial Neural Network(ANN) and its 'Deep Learning' faculty. To make use of the strength of the neural network model, which allows the recognition of patterns in data by modeling non-linear and complex relationships between variables, this study utilizes geographic coordinates (i.e. longitudinal/latitudinal points) as the locational factor of housing prices. Specifically, we built a dataset including structural and spatiotemporal factors based on the hedonic price model and compared the estimation performance of the models with and without geographic coordinate variables. The results show that high estimation performance can be achieved in ANN by explaining the spatial effect on housing prices through the geographic location.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.336-339
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• 2022

In this study, we examine the cases of instructors who conducted subject management by understanding the learning patterns of convergence major students taking programming courses Therefore, we intend to find implications for the operation of SW curriculum for convergence majors in the future. In the programming class of the convergence major, students of various grades and majors take the course, and a survey was conducted to understand their learning patterns in a non-face-to-face environment. The instructor studied whether it would be possible to induce learners' participation in class even when face-to-face communication was not possible, and tried to operate the class by understanding the learning propensity of the learners. As there are many students who have maintained successful experiences in self-directed learning amid COVID-19, weekly assignments were set so that they could solve their own problems independently, and almost all students submitted assignments. This study is meaningful in that it studied students' learning patterns, task performance, and programming achievement by operating 'Machine Learning' subject to students of the convergence major in a non-face-to-face situation due to COVID-19.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.54-62
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• 2022

This exploratory study aims to identify effect on core nursing competency of nursing students who experienced convergence practice due to COVID-19. The subjects of this study surveyed 123 senior nursing students in U city with a structured self-report questionnaire analyzed by the SPSS 22.0 software, t-test, One-way ANOVA, correlation, and multiple regression analysis. The average scores for nursing competence scale, self-directed learning ability, learning satisfaction, learning outcomes were 3.99, 3.71, 4.11 and 4.25 out of 5.00. The factors affecting of students' nursing competencies were self-directed learning ability, learning outcomes with 29 percent being explained by these variables. Learning satisfaction did not affect core nursing competency. Through this study we found that high quality educational environment should be prepared to improve these limitations. it is considered that a clear and systematic standard for the educational environment and evaluation of clinical practice is needed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.26-41
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• 2024

To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerous-driving propensities in order to explore potential correlations with drivers' behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.

• Journal of Korean Clinical Nursing Research
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• v.30 no.2
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• pp.139-146
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• 2024

Purpose: This study aimed to examine the effects of the nursing work environment and self-efficacy on medical safety competence of nurses in general hospital. Methods: Participants included 183 nurses who were recruited through convenience sampling in a general hospital in South Korea. Questionnaires were collected from August 25 to September 22, 2023. The nursing work environment, self-efficacy and medical safety competence scales were used to assess the study variables. The t-test, one-way ANOVA, Scheffé test, Pearson correlation coefficients, and multiple regression tests were performed using IBM SPSS ver. 26.0. Results: Statistically significant correlations were found between nurses' medical safety competence and nursing work environment (r=.34, p<.001), and self-efficacy (r=.48, p<.001). Self-efficacy (β=.38, p<.001), nursing work environment (β=.25, p<.001), and clinical experience (β=.14, p=.043) had the greatest effect on nurses' medical safety competence (F=21.21, p<.001), with an explanatory power of 30.0%. Conclusion: This study confirmed that the nursing work environment and nurses' self-efficacy have a significant impact on nurses' medical safety competence. In order to implement patient safety in hospitals, it is necessary to develop and apply strategies to improve the nursing work environment and increase nurses' self-efficacy to enhance their medical safety capabilities.