• Journal of Electrical Engineering and Technology
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• 제8권5호
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• pp.984-990
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• 2013

This paper develops a new Intelligent Electronic Device (IED), and then presents an application method of a monthly load forecasting algorithm on the smart IEDs. A Multiple Linear Regression (MLR) model implemented with Recursive Least Square (RLS) estimation is established in the algorithm. Case Study proves the accuracy and reliability of this algorithm and demonstrates the practical meanings through designed screens. The application method shows the general way to make use of IED's smart characteristics and thereby reveals a broad prospect of smart function realization in application.

• 한국산학기술학회논문지
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• 제11권8호
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• pp.3100-3105
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• 2010

본 아스팔트 포장의 소성변형은 우리나라 도로포장의 대표적인 파손유형 중 하나이다. 소성변형을 평가하기 위하여 동하중을 이용한 삼축압축 반복재하시험을 수행하였다. 실험결과(하중 및 변형)를 이용하여 국내 아스팔트 포장의 소성변형 파손을 평가 및 예측할 수 있는 파손모형을 개발하였다. 파손모형은 다중회귀분석 및 인공신경망을 이용하여 비교 및 평가하였다.

• 통상정보연구
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• 제11권2호
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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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• 제19권5호
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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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• 제15권1호
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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.

• 열처리공학회지
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• 제2권4호
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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.

• 한국물환경학회지
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• 제25권4호
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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.

• 약학회지
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• 제20권1호
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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.

• 한국사회복지학
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• 제45권
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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.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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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.