• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3100-3105
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• 2010

The permanent deformation of asphalt pavement is one of the most important load-related distresses in asphalt pavement. In order to evaluate the permanent deformation, the repeated triaxial load test with different temperature and air void of hot mix asphalt was carried out. The permanent deformation prediction model has been validated by the multiple regression approach and the artificial neural networks.

• International Commerce and Information Review
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• v.11 no.2
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• pp.329-342
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• 2009

The purpose of this study was to identify the issues which how situational constraints of negotiation affect outcomes. To achieve the purpose of this research, a multiple regression model was set up to identify the relationships between situational constraints of negotiation and negotiation outcome on international trade contracts. To implement the study, empirical questionnaires were collected from Korean business men who have actually conducted international trade with foreign firms. Reliability analysis and factor analysis were used to assess the reliability and validity of research variables. and multiple regression analysis were used for testing the relationships between situational constraints of negotiation and negotiation outcome. From this study, following results were identified; i) situational constraints of negotiation effects on negotiation outcomes ii) arbitrary and continuous situations affect significantly positive on negotiation outcomes iii) submissive situations affect significantly negative effects on negotiation outcomes In conclusion, participant of negotiation and their managers try to promote negotiation situation toward to arbitrary and continuous situations if they have any availability.

• Communications for Statistical Applications and Methods
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• v.19 no.5
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• pp.731-741
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• 2012

The Korean film industry has grown fast since the 2000s in terms of entering the 50% market share level, the emergence of 10million box-office movies and export performance improvement; however, the earning rate of production and investment part has decreased and recorded a minus value since 2005. This article aims to find key the determinants for the success of Korean movies from 2001~2006, a period of high growth and success of the Korean film industry through a multiple regression analysis. This paper introduces new determinants such as the interaction effect of the director and lead actor as well as mass culture codes. Finally, the authors suggest some proposals to make the Korean Film Industry more profitable.

• Geomechanics and Engineering
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• v.15 no.1
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• pp.631-643
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• 2018

The estimation of the strength and other mechanical parameters characterizing the tensile behavior of granites can play an important role in civil engineering tasks such as design, construction, rehabilitation and repair of existing structures. The purpose of this paper is to apply data mining techniques, such as multiple regression (MR), artificial neural networks (ANN) and support vector machines (SVM) to estimate the mechanical properties of granites. In a first phase, the mechanical parameters defining the complete tensile behavior are estimated based on the tensile strength. In a second phase, the estimation of the mechanical properties is carried out from different combination of the physical properties (ultrasonic pulse velocity, porosity and density). It was observed that the estimation of the mechanical properties can be optimized by combining different physical properties. Besides, it was seen that artificial neural networks and support vector machines performed better than multiple regression model.

• Journal of the Korean Society for Heat Treatment
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• v.2 no.4
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• pp.40-46
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• 1989

The hardenability of steel is related to its chemical composition. About this relationship, multiple regression analysis of hardenability data was proposed to explain the effect of chemical composition on a hardenability of steel. To establish the formula for calculation hardenability, given hardenability curve(U.S.S. Atlas) were quantitatively analyzed by multiple regression analysis program of computer. The established hardenability model was applied to predict the hardenability of commercial steel fair well. The effect of chemical composition was also expressed quantitatively.

• Journal of Korean Society on Water Environment
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• v.25 no.4
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• pp.580-588
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• 2009

In this study daily flow rates and delivered pollutant loads of Nakdong river basin are simulated with modified TANK model and minimum variance unbiased estimator. Based on the simulation results, flow duration curves, load duration curves, and delivery ratio duration curves have been established. Then GIS analysis is performed to obtain several hydrological geomorphic characteristics such as watershed area, stream length, watershed slope and runoff curve number. Finally, multiple regression analysis is carried out to estimate empirical equations for pollutants delivery ratio. The results show that there is positive relation between the flow rates and delivery ratios, and the proposed empirical formulas for delivery ratio can predict well river pollutant loads.

• YAKHAK HOEJI
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• v.20 no.1
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• pp.63-69
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• 1976

Prednisolone tablet product design problem was structured as constrained optimization problem and subsequently solved by multiple regression analysis and Lagrangian method of optimixation. Prednisolone was the drug chosen and anhydrous lactose and corn starch were the adjuvants. The effect of anhydrous lactose and corn starch concentrations on tablet hardness, volume, disintegration time and in vitro release rate was studied. The concentrations of anhydrous lactose and corn starch used in this experiment were 30-60 percent and 5-30 percent, respectively. A full second-order (quadratic) model with all possible two-factor interactions was employed. To obtain the values of anhydrous lactose and corn starch which miniumize the in vitro : release time (t$_{60%}$) subject to the constraint on tablet hardness, disintegration time and volume, we solved the Lagrange function. Multiple correlation coefficients for the regression models were correlated at less than 0.05 level and it was found that the optimum concentrations of anhydrous lactose and corn starch were 45 percent and 21 percent, respectively.

• Korean Journal of Social Welfare
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• v.45
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• pp.288-314
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• 2001

The purpose of this study is to examine the strategies that may influence the marital satisfaction of dual-earner men and women. General linear model, Pearson's correlation analysis, Stepwise multiple regression were employed for data analysis. the subjects are 396 dual-earner men and women. The result from the research were as follows: 1) coping strategy use differs significantly by life cycle stage. 2) The following strategies significantly correlated with the level of marital satisfaction: cognitive restructuring, delegation. using social support, modifying standards, personal time reducing. 3) The result of stepwise multiple regression analysis indicated that strategies which predict the level of marital satisfaction were cognitive restructuring, delegating, using social support, personal time reducing. these finding give us significant practical implications for social work intervention.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.134-135
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• 2015

This study was conducted to present basic improvement measures to improve the negative construction industry image of construction workers in the future, by investigating the construction industry images that construction workers have, through previous studies and analyzing the factors influencing these images, based on the multiple regression model. But this study is limited to construction workers and failed to establish specific improvement measures. Therefore, continued research which remedies the limitation of this study, will performed in the future.

• Women's Health Nursing
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• v.22 no.3
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• pp.162-169
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• 2016

Purpose: This study was done to investigate the prevalence and factors affecting body shape misperception among Korean adult women. Methods: We analyzed raw data from the fourth Korean Longitudinal Survey of Women and Families, for 7,658 women over 20 years of age. For the multiple logistic regression model, the dependent variable was existence of misperception (yes/no). Results: The prevalence of body shape misperception was 42.6% (overestimation 6.5%, underestimation 36.1%). Multiple logistic regression analysis revealed that age, education level, marital status, economic status and BMI were significantly associated with body shape underestimation. Education level and BMI were significantly associated with body shape overestimation. Conclusion: An effective obesity intervention program for women must reflect and monitor body shape perception as well as BMI.