• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.157-164
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• 2020

In 2020, due to COVID-19, all universities in Korea were conducting non-face-to-face classes. The purpose of this study is to study what factors affect academic achievement under such non-face-to-face instruction, especially for engineering students where practical training is important. Validity of the statistical hypothesis defined in this study by applying a structural equation model using questionnaires about academic achievement for engineering students at University D for this study. In addition, I would like to suggest what factors should be considered in non-face-to-face classes, especially in engineering colleges. As a result of the study, it was found that students' Q&A, feedback and e-learning system had a direct influence on academic achievement. In addition, it was confirmed that they had an indirect influence on academic achievement through the parameters of theory class and practical class.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.576-589
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• 2021

Live commerce as a new form of service that combines live streaming service with e-commerce is gaining a growing attention from many people with diffusion of a new trend of untact economy. In this context, this research examines what leads to user satisfaction of live commerce. In especial, this research conceptualized several determinants that might affect user satisfaction of live commerce from three dimensions of users, information sources and platforms. It also tested whether those factors had influences on user satisfaction of live commerce empirically. The sample in this study was responses of 218 people in their 20s and 30s who had experienced using live commerce. They were analyzed using a hierarchical regression analysis. The findings revealed that depression and innovativeness from the dimension of users, attractiveness of show host from that of information sources, and physical affordance and perceived interaction among users from that of platforms had significant influences on user satisfaction of live commerce.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.489-498
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• 2023

Advancements in hardware performance and computing technology have facilitated the progress of climate prediction models to address climate change. The Korea Meteorological Administration employs the GloSea6 model with supercomputer technology for operational use. Various universities and research institutions utilize the Low-GloSea6 model, a low-resolution coupled model, on small to medium-scale servers for weather research. This paper presents an analysis using Intel VTune Profiler on Low-GloSea6 to facilitate smooth weather research on small to medium-scale servers. The tri_sor_dp_dp function of the atmospheric model, taking 1125.987 seconds of CPU time, is identified as a hotspot. Nonlinear regression models, a machine learning technique, are applied and compared to existing functions conducting numerical operations. The K-Nearest Neighbors regression model exhibits superior performance with MAE of 1.3637e-08 and SMAPE of 123.2707%. Additionally, the Light Gradient Boosting Machine regression model demonstrates the best performance with an RMSE of 2.8453e-08. Therefore, it is confirmed that applying a nonlinear regression model to the tri_sor_dp_dp function during the execution of Low-GloSea6 could be a viable alternative.

• Journal of Environmental Policy
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• v.7 no.2
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• pp.49-66
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• 2008

The goal of current study is to carry out comparative analysis on the relationship between nature perspectives and their corresponding utilities by taking integrated approach combining economic values with environmental ones. The results are as follows. First, empirical evidence shows that the structures of happiness function differ according to nature perspectives. The anthropocentric-nature perspective is centered on economic value. Whilst, environment and social trust play an statistically insignificant role in deciding happiness levels. Secondly, the eco-centric perspective possesses a multi-facted structure of happiness function composing of income, environment, and social trust. In this vein, it is no reasonable behavior, from happiness maximization view, to focus on economic value vis-a-vis use value.

• The Korean Journal of Applied Statistics
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• v.11 no.1
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• pp.65-81
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• 1998

Simultaneous equation models, increasingly used in many detailed analyses, tend to get larger and more sophisticated to describe the structure of the study area to be close to the actual situations. In setting up such a system of equations, statistical results and simulation performance of the model as a whole may be meaningless and unrepresentative of the real world due to a structural instability that is built into the model when the equations are combined and solved simultaneously. Even though the use and subsequent analysis of an unstable system are likely to mislead us, most of the studies that take the simultaneous equation approaches neglect such a serious problem. Thus it is necessary to illustrate how to check the stability problem and apply to the actual model, then investigate how such as analysis is able to provide useful information about the structural characteristics of the model from the dynamic viewpoint.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.10
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• pp.1017-1024
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• 2002

In this paper, we present the analysis of radio wave propagation characteristics in curved tunnels. Tunnel propagation models are performed in two cases which are using ray-tracing method for straight tunnels and geometrical optics extension to the standard hybrid waveguide model for curved ones. By regression analysis for measured power based on distance between the transmitter and the received antenna in tunnels that have 3.5 m $\times$ 6 m cross section and limited wall depth path loss are 0.19 dB/m for straight section and 0.68 dB/m for curved ones. By comparing model analysis with measurement in tunnels, it has been shown that the simulated results of tunnel propagation models are similar to the measured values.

• Korean Journal of Social Welfare
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• v.63 no.3
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• pp.187-211
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• 2011

This study examines the effects of active labor market policy on unemployment by pooled cross-section time series analysis utilizing panel data of 18 OECD countries, and seeks implications for improvements of the Korean active labor market policy. The results of the analysis are summarized as follows. First, active labor market policy negatively affects unemployment rates. Second, vacational training program among three major active labor market programs has a negative effect on unemployment rates. Third, employment service program and employment subsidy program have partially negative effects on unemployment rates. The implications for the Korean active labor market policy are as follows. First, it is necessary to expand and systematize active labor market policies. Second, vocational training programs should be systematized and professionalized according to labor demand. Third, employment subsidy programs need to be planned and carried out under the condition of minimizing a substitution effect, a displacement effect and a deadweight loss effect. Fourth, employment service programs need to be developed and carried out under the consideration of not only the reduction of unemployment rates but also the prevention of re-unemployment, mitigation of income inequality and improvement of productivity.

• Korean Journal of Social Welfare
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• v.65 no.4
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• pp.341-365
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• 2013

This study attempts to examine the moderating effect of religiosity in the relationship between religion and secular giving behavior (absolute amount and philanthropic effort). For the analysis, this study utilizes 'Giving Korea 2012' by the Beautiful Foundation and employs Tobit regression model. Focusing on giving amount, major findings are that (1) Protestants and Catholics give greater amounts for secular cause than those with no religious affiliation; and (2) interaction between Protestants and religiosity and interaction between Catholics and religiosity have significant relationships with citizens' secular giving amount in a positive direction. Focusing on philanthropic effort (giving amount divided by family income), major findings are that (1) there is no significant relationship between religion types and citizens' philanthropic effort and (2) interaction between Protestants and religiosity and interaction between Catholics and religiosity have significant relationships with citizens'philanthropic effort in a positive direction. This study provides new knowledge foundation on citizens' secular giving behavior and contributes to developing effective fundraising strategies of nonprofit organizations on religion-related donor markets.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.135-140
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• 2007

이탈 고객 예측은 데이터 마이닝에서 다루는 주요한 문제 중에 하나이다. 이탈 고객 예측은 일종의 분류(classification) 문제로 의사결정나무추론, 로지스틱 회귀분석, 인공신경망 등의 기법이 많이 활용되어왔다. 일반적으로 이탈 고객 예측을 위한 모델은 고객의 인구통계학적 정보와 계약이나 거래 정보를 입력변수로 하여 이탈 여부를 목표변수로 보는 형태로 분류 모델을 생성하게 된다. 본 연구에서는 고객과의 지속적인 접촉으로 발생되는 추가적인 사건 정보를 활용하여 연관성 규칙을 생성하고 이 결과를 기존의 방식으로 생성된 분류 모델과 결합하는 이탈 고객 예측 방법을 제시한다. 제시한 방법의 유용성을 확인하기 위해서 특정 국내 신용카드사의 실제 데이터를 활용하여 실험을 수행하였다. 실험 결과 제시된 방법이 기존의 전통적인 분류 모델에 비해서 향상된 성능을 보이는 것을 확인할 수 있었다. 제시된 예측 방법의 장점은 기존의 이탈 예측을 위한 입력 변수들 이외에 고객과 회사간의 접촉을 통해서 생성된 동적 정보들을 통합적으로 활용하여 예측 정확도를 높이고 실시간으로 이탈 확률을 갱신할 수 있다는 점이다.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.61-69
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• 1999

In this study, the productivity factors of software maintenance are categorized into the three areas such as maintainer characteristics, software technical characteristics and maintenance environment characteristics. And the various regression analyses are performed for searching the most significant model by using actual project's data. At conclusion, an linear model including new variables derived from factor analysis to estimate the effort for software maintenance project is suggested.