• Journal of Families and Better Life
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• v.18 no.2
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• pp.109-123
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• 2000

The purpose of this study is to investigate decision making styles task management of urban homemakers. This study focuses on the following aspects: 1) to find out which variables of background variables (ie. age of couple, education of couple, duration of marriage, income, family life cycle, number of children) have effect on decision making styles & task management of urban homemakers. 2) to find out the relationships between decision making styles and task management of urban homemakers. 3) to find out independent influcene of background variables on task management. major findings are as follows; First, it is general tendency that decision making styles were human oriented in urban homemakers. Importance & Urgency of the task, age of homemakers, education of homemakers, family life cycle were significant variables to have influcence on task oriented decision making styles. Importance & urgency of task were variables to have influences on human oriented decision making styl s. Second, the tendency of dealing with task at once is the highest in the task management, on the other hand, the tendency of dealing with task in the next session is the lowest. Income is a variable to influence on dealing with task in delegation to others, education of homemaker is a variable to influence on dealing with task in next session and importance & urgency of the task and the number of children were variables to influence on dealing with task immediately. Third, human oriented decision marking style was a variable to influence on dealing with task in delegation with task in delegation to others, in the next session, and in suspending/ in neglecting. Task oriented decision making style was a variable to influence on dealing with task immediately. Fourth, The urgency of task & income were variables to have direct influence on dealing with task in delegation with task in next session, and the urgency of the task, age & education of homemaker and family life cycle were varia les to direct influence on dealing with the task immediately. The urgency & importance of the task and age of homemaker were variables to have indirect on dealing with the task urgency of task & the number of children were variables to have indirect influence on dealing with the task in suspending/in neglecting through the medium of the human oriented decision making styles.

• 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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.193-194
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• 2017

Effect of variable factors on carbon emissions in construction industry is hard to analysis. Therefore this study analyzies effect of variable factors on carbon emissions. This study shows importance of variable factors and emphasizes need of estimation of carbon emissions considering variable factors.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.81-90
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• 2023

Climate change has resulted in increased frequency and intensity of heat waves, which poses a significant threat to the health and safety of construction workers, particularly those engaged in labor-intensive and heat-stress vulnerable working environments. To address this challenge, this study aimed to propose an interpretable machine learning approach for forecasting personal heat strain by considering the cumulative effect of heat exposure as a situational variable, which has not been taken into account in the existing approach. As a result, the proposed model, which incorporated the cumulative working time along with environmental and personal variables, was found to have superior forecast performance and explanatory power. Specifically, the proposed Multi-Layer Perceptron (MLP) model achieved a Mean Absolute Error (MAE) of 0.034 (℃) and an R-squared of 99.3% (0.933). Feature importance analysis revealed that the cumulative working time, as a situational variable, had the most significant impact on personal heat strain. These findings highlight the importance of systematic management of personal heat strain at construction sites by comprehensively considering the cumulative working time as a situational variable as well as environmental and personal variables. This study provided a valuable contribution to the construction industry by offering a reliable and accurate heat strain forecasting model, enhancing the health and safety of construction workers.

• Communications for Statistical Applications and Methods
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• v.16 no.1
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• pp.185-193
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• 2009

Machine learning methods such as support vector machines and random forests yield nonparametric prediction functions of the form y = $f(x_1,{\ldots},x_p)$. As a sequel to the previous article (Huh and Lee, 2008) for visualizing nonparametric functions, I propose more sensible graphs for visualizing y = $f(x_1,{\ldots},x_p)$ herein which has two clear advantages over the previous simple graphs. New graphs will show a small number of prototype curves of $f(x_1,{\ldots},x_{j-1},x_j,x_{j+1}{\ldots},x_p)$, revealing statistically plausible portion over the interval of $x_j$ which changes with ($x_1,{\ldots},x_{j-1},x_{j+1},{\ldots},x_p$). To complement the visual display, matching importance measures for each of p predictor variables are produced. The proposed graphs and importance measures are validated in simulated settings and demonstrated for an environmental study.

• Korea journal of population studies
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• v.5 no.1
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• pp.17-53
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• 1982

Focusing on the strength of son preference obtained from two surveys of the same area, an attempt has been made to measure the change on the IS value scale that many have occurred over the last seven-year period, the underlying assumption here being that the strength of son preference wanes in inverse proportion to the level of society's socio-economic development. Various methodological approaches have been put to test to weigh the importance of the sex preference as a dependent variable, as an independent variable, and as an intermediate variable. A few methodological issues are suggested.

• The Bulletin of The Korean Astronomical Society
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• v.3
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• pp.36-39
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• 1978

• Journal of Information Technology Applications and Management
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• v.31 no.4
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• pp.33-45
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• 2024

In this study, we conducted a comparative study of Korea, China, and India on the influencing factors of internet shopping repurchase intention through SEM-ANN two-stage analysis, and analyzed changes in predictive performance and variable importance. As a result, through SEM analysis, it was confirmed that the factors influencing repurchase intention in internet shopping are different between Korea, China, and India. It has been proven that the R² of SEM is improved through ANN. And It has been proven that statistical-conclusion-validity was improved through which the size of the path coefficient in SEM remained similar to that of ANN's variable importance analysis.

• Journal of Environmental Science International
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• v.13 no.6
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• pp.505-512
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• 2004

This study was attempted to review the information data for minimizing the destruction of environmental naturalness and the visual damage of landscape from road construction by establishing a model of environmental naturalness for national roads in the suburb areas to suggest an answer to a research question, ' hat does decide the environmental naturalness of roadscape?'. We found that 1) The road-side slope showed no statistical significance in the description of environmental naturalness of roadscape, but the fact that the road-side slope from road construction is the destruction of natural topography cannot be overlooked. 2) In terms of the direction of value variations for independent variables, signboard and telegraph post, soundproofing and protection wall, structure, and building acted toward negative (-) direction, while mountains, sky, road trees, fields, and surrounding green including the road-side slope acted toward positive(+) direction. 3) The variable with highest relative contribution to dependent variables among independent variables is building, which has importance as many as 148 times of road-side slope, while the variable road-side slope has the least importance. Building has the importance of 7.22 times, mountains 5.51 times, road trees 2.59 times, surrounding green 2.54 times, structure 2.41 times, signboard and telegraph post 2.37 times, soundproofing and protection wall 2.20 times, and sky 1.32 times of the fields as a standard criterion values 1.

• The Research Journal of the Costume Culture
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• v.24 no.6
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• pp.756-776
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• 2016

The concern over beauty is increasing as the importance of appearance is becoming more prominent. Accordingly, the importance of studying beauty is now apparent. The purpose of this study is to analyze existing beauty-related research in order to assess current trends in beauty-related studies. Materials were collected from the master's theses and academic journals from 1997 through 2016. In addition, 81 beauty-related papers were selected and classified into 3 categories according to their subjects and content. There were 19 hair attitude papers, 52 papers about make-up and skincare, and 10 papers on cosmetic surgery. Each type was divided into detailed themes according to the study theme and its number was grasped. Consequently it was classified into 9 themes about the attitude toward hair and the relevant variable study, 10 themes about the attitude toward hair style and relevant variable study, 24 themes about the make-up attitude and relevant variable study, 28 themes about the skin care attitude and relevant variable study, and 10 themes about the cosmetic surgery attitude and relevant variable study. The results revealed that academic concern about beauty sharply increased starting in 2005. Moreover, we determined that the methodologies used in hair and make-up studies were sound and detailed, while cosmetic surgery studies were more inconsistent and poorly analyzed. Thus cosmetic surgery should be further researched in a more standardized and thorough manner. This review of attitudes toward beauty will serve as a basis for follow-up studies that employ meta-analyses to draw more quantitative conclusions by aggregating many more study results.