• Journal of the Korean Society for Precision Engineering
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• v.14 no.6
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• pp.114-120
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• 1997

To assess the validity of the previously computed finite element analysis results, the photoelastic experiment was carried out to determine stress intensity factors for crack originating from thin section of integrally stiffened plates having discontinuous thickness interface. The stress intensity factors were deter- mined by using linear slope method of photoelastic data. Results are presented as variable thickness geometry factor. $F_{IV}$ , for various crack lengths and thickness ratios. The experimental values of F/ sub IV/are compared with 3-D finite element analysis results. The correlation between experimental values and analysis results is resonably good.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.248-255
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• 2013

The objective of this study is to optimize the Metal Injection Molding(MIM) process with design of experiments(DOE) and numerical analysis. To derive the optimal process condition, experiment or numerical analysis was performed under various process conditions. To analyze the interaction among influential factors contributing to the temperature at flow front and response surface in MIM, both central point and axial point were added to the full factorial design with 2 levels and 5 factors and then their impacts on response variable in 43 experimental conditions were analyzed and the significance was evaluated. As a result, sprue, runner, and gate were completely filled in about 0.247 seconds after injection, the front part of the green body was filled in about 0.3344 seconds, the green body except gate, etc changed to almost solid state in about 3.29 seconds, the Packinging pressure was completed in about 6.29 seconds, and the green body inside and outside and sprue, etc became solid in 13.2 seconds. The impact of individual or reciprocal action of factors on the temperature at flow front was analyzed through regular probability, test statistics, main effect, and interaction effect. As a result, of a total of 31 combinations of factors, 9 unit factors and reciprocal actions were significant, and the screening was also possible. A proper regression equation was drawn with regression analysis and response surface design on the response variable of temperature at flow front, and the applicability could be verified.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.5
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• pp.84-91
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• 2001

The purpose of this thesis is to search for appropriate design elements to manage ponds on golf courses. This paper showed that a variable, width, and volume have significant influence on satisfaction(Sig 0.001). This research investgated golf courses in Kyung-ki province. In short, we measured the physical design elements of ponds to bring out major factors which could determine satisfaction of golf courses for golfcourse manager(greenkeeper). The results between satisfaction and physical variable came out as follows; 1, Golfcourse managers(Green keepers) responded to questions that they were satisfied in only 29.9% of the ponds. We found that they considered management very highly. we could evaluated the value of necessity and importance are high, that is importance to manage ponds 2. Some physical design elements(volume, width) increased dependent variable(satisfaction) and others(length, area, circumference, index of shape) decreased dependent variable(satisfaction) 3. Volume has an influence on dependent variable more than depth on index of shape. 4 If the result of \`index of shape\` decreased, the result of \`management satisfaction\` would be high, and when volume is 8500ton∼17000ton, depth is 27m∼3.1m, \`management satisfaction\` would be high. The research findings can be used for planning and designing of golfcourses for designers, and by management for greenkeepers, and will provide pertinent design elements far design of golfcourses. We suggest that the interrelation between ponds and strategic play must be examined in future research.

• Journal of the Korean Solar Energy Society
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• v.33 no.5
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• pp.41-50
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• 2013

Economic feasibility study using weighted average variable Jeju System Marginal Price, SMP, was conducted for Gasiri wind farm of Jeju Island. To predict the variable Jeju SMP, generator share ratio for SMP was calculated from the real time wind power production and the power demand data for years. Also, sensitivity analysis on Net Present Value, NPV, and Benefit/Cost Ratio, B/C ratio, were performed to clarify which factors are more important in assessing economic feasibility. The result shows that the Gasiri wind farm has a minimum of 110 billion won and a maximum of 132 billion won difference between fixed and variable SMP. Also, Capacity Factor, C.F., had the highest sensitivity for NPV, followed by SMP. Accordingly, when economic analysis for a potential wind farm site is carried out, the variable SMP as well as C.F. should be considered for more accurate assessment of the wind farm.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.249-274
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• 2022

This study is to focuses on users' attitudes toward augmented reality games. Based on the Technology Acceptance Model (TAM) and Flow theory, continuous usage intention was set as a dependent variable, and immersion was set as a mediating variable. As independent variables, spatial presence, perceived interactivity, perceived pleasure, and sickness were set. Besides, this study strived to compare and analyze Korean and Chinese Data. The results of this study were as follows. First of all, Korean users significantly affected spatial presence, perceived pleasure, and immersion. Spatial presence and perceived pleasure had also mediated effects on continuous usage intention through immersion. However, perceived interactivity and sickness did not affect immersion and even no mediating effect to continuous usage intention. In the case of Chinese users, spatial presence, perceived interactivity, and perceived pleasure were grouped into one variable. This variable influenced immersion and also had mediated effect on continuous usage intention. However, sickness, like Korean users, did not affect the set path. This study had implications for analyzing user perspective using immersion, a significant variable in previous research. In addition, this study found similarities and characteristics through a comparative analysis between Korean and Chinese users indirectly.

• 한국노년학
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• v.37 no.3
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• pp.637-653
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• 2017

Meta-analysis was conducted on 56 studies published in Korea until April 2017 to systematically integrate factors of ego integrity of the elderly. The variables related to ego integrity were divided into 6 groups of variable, and the effect sizes were computed for each variable of their groups. The analysis results are as follows. First, the total effect size showed the middle effect size, and the effect size according to the variable group showed the largest effect size for the positive psychological variable group, followed by the negative psychological variable, the physical variable, the familial variable, the social variable and the demographic variable. Second, the largest effect size of the sub-variables on the each individual variable group showed positive psychological variable was life quality, negative psychological variable was depression, physical variable was health behavior, familial variable was children relationship, social variable was social support and demographic variable was economic status. As described above, suggesting that these variables may have a strong influence on ego integrity among the variables related to ego integrity because the quality of life, life satisfaction and depression were shown as the largest effective variables related to ego integrity.

• Korean Journal of Social Welfare
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• v.66 no.2
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• pp.179-202
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• 2014

This study was designed to explore the structural relationship of social support, acculturative stress and parenting stress which influenced child abuse among married immigrant women in Korea. For study 195 married immigrant women participated and structured questionnaire was used. This study identified that the variable of parenting stress directly affected child abuse and the variable of acculturation stress indirectly affected child abuse with a variable of parenting stress as a mediator variable. In addition, the variable of social support indirectly affected parenting stress with a variable of acculturation stress as a mediator variable. Also, the variable of social support did not directly affect child abuse, but it was verified as a protective factor to reduce the risk of child abuse. This study suggested the social interventions to prevent child abuse among multi-cultural families based on the study results.

• Geomechanics and Engineering
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• v.23 no.3
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• pp.289-300
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• 2020

With the rapid development of the distributed strain sensing (DSS) technology, the strain becomes an alternative monitoring parameter to analyze slope stability conditions. Previous studies reveal that the horizontal strain measurements can be used to evaluate the deformation pattern and failure mechanism of soil slopes, but they fail to consider various influential factors. Regarding the horizontal strain as a key parameter, this study aims to investigate the stability condition of a locally loaded slope by adopting the variable-controlling method and conducting a strength reduction finite element analysis. The strain distributions and factors of safety in different conditions, such as slope ratio, soil strength parameters and loading locations, are investigated. The results demonstrate that the soil strain distribution is closely related to the slope stability condition. As the slope ratio increases, more tensile strains accumulate in the slope mass under surcharge loading. The cohesion and the friction angle of soil have exponential relationships with the strain parameters. They also display close relationships with the factors of safety. With an increasing distance from the slope edge to the loading position, the transition from slope instability to ultimate bearing capacity failure can be illustrated from the strain perspective.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.137-145
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• 2008

Embedded industry has emerged as one of the important industry for u-IT based application service. Technology development related to embedded hardware and software provides the base for the development of U-IT convergence industry. This study intends to suggest a research model to investigate the influence of industry, organization, technology factors on technology performance in the embedded companies. This study adopted research variables such as global network, local network, industry intensity, and technology capability as independent variables, with technology performance as a dependent variable from the existing literatures. The purpose of this study is to analyze the influence of industrial and organizational factors on technology performance of embedded companies SCM systems, including the moderating effect of government support. 94 companies data were collected by survey. The result of this empirical study is summarized as follows. First, local network and technology capability are the important determinants to influence technology performance of embedded companies in direct effect model. Second, global network and industry intensity has more positive influence on technology performance of embedded companies through a moderating variable of government support.