• KEPCO Journal on Electric Power and Energy
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• v.2 no.4
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• pp.627-630
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• 2016

Recently, the size of wind farms is becoming larger, and the integration of high wind generation resources into power gird is becoming more important. Due to intermittency of wind generating resources, it is an essential to predict power outputs. In this paper, we introduce the basic concept of curvilinear regression, which is one of the method of wind power prediction. The empirical data, wind farm power output in Jeju Island, is considered to verify the proposed prediction model.

• Journal of Biosystems Engineering
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• v.35 no.3
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• pp.175-181
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• 2010

This study compared moisture content measured by moisture meter of microwave resistance type(MMMRT) and standard moisture content of paddy, and developed the correction equation using linear and curvilinear regression analysis, and to explore its significance test. The correction factor according to the range of moisture content was developed to improve the measurement precision of MMMRT. The results were as followings. The coefficients of determination of correction equation by linear and curvilinear regression analysis with comparing the MMMRT and standard moisture content were 0.946 and 0.968, respectively. The moisture content error of MMMRT and standard moisture content measured after the MMMRT were corrected by moisture content rate of every 5% using the correction equation by curvilinear regression analysis appeared with 0~0.5% and 0.9~1.8% respectively in the moisture content range of 15~20% and 20~25%.

• Proceedings of the KWS Conference
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• 2006.10a
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• pp.271-273
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• 2006

This paper focuses on the developed empirical models for the prediction on top-bead width in GMA(Gas Metal Arc) welding process. Three empirical models have been developed: linear, curvilinear and an intelligent model. Regression analysis was employed fur optimization of the coefficients of linear and curvilinear model, while Genetic Algorithm(GA) was utilized to estimate the coefficients of intelligent model. Not only the fitting of these models were checked, but also the prediction on top-bead width was carried out. ANOVA analysis and contour plots were respectively employed to represent main and interaction effects between process parameters on top-bead width.

• Journal of Welding and Joining
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• v.27 no.1
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• pp.65-70
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• 2009

Ir-192 radiation sealed sources are widely employed to the therapeutic applications as well as the non-destructive testing. Production of Ir-192 sources requires a delicate but robust welding technique because it is employed in a high radioactive working environment. A GTA(Gas Tungsten Arc) welding technique is currently well established for this purpose. However, this welding method requires a frequent replacement of the electrode, which results in the delay of the production to take a preparatory action such as to isolate the radiation sources from the working place before getting access to the welding machine. Hence, a resistance welding technique is considered as an alternative method of the GTA welding technique. The advantages of resistance welding are high welding speed and high-rate production. Also it has very long life of electrode comparing to GTA welding. In this study, the resistance welding system and proper welding conditions were established for sealing Ir-192 source capsule. As a results of various experiments, it showed that electrode displacement can be employed as a indicator to predict welding quality. We proposed two mathematical models(linear and curvilinear) to estimate electrode displacement with process parameters such as applied force, welding current and welding time by using regression analysis method. Predicting results of both linear and curvilinear model were relatively good agreement with experiment.

• Korean Journal of Veterinary Research
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• v.27 no.2
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• pp.339-345
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• 1987

Each of twenty blood samples taken from apparently healthy Korean Cows was used to produce five different mixtures of autologous plasma and blood corpuscles such that their values of packed cell volume (PCV) lay between 10 to 50ml/l00ml. The measurements of erythrocyte sedimentation rate (ESR) using 45 degree-angled capillary hematocrit tube, 1.1-1.2mm bore, ($45^{\circ}-micro-ESR$) were practised for the blood of various levels of PCV under the ambient temperature of ${10^{\circ}C}$, ${20^{\circ}C}$ and ${30^{\circ}C}$. Correlation of ESR to ambient temperature showed linear regression each in five levels of PCV. ESR increased with ascending ambient temperature, and magnitude of the increase of ESR became greater as the level of PCV lowered. Correlation of ESR, of which values were transformed by the linear regression equation correlated to ambient temperature to PCV showed curvilinear regression each in three levels of ambient temperature, and ESR was increased with decreasing PCV. The data were statistically analysed and a list of relative anticipate $45^{\circ}-micro-ESR$ values for PCV and ambient temperature was presented.

• Korean Journal of Veterinary Research
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• v.28 no.1
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• pp.187-192
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• 1988

Each of twenty blood samples taken from apparently healthy Korean cows was used to produce five different mixtures of autologous plasma and blood corpuscles such that their values of packed cell volume(PCV) lay between 10 to 50ml/100ml. The measurement of erythrocyte sedimentation rate (ESR) using 45 degree-angled Wintrobe hematocrit tube, 3mm bore, ($45^{\circ}$-Wintrobe-ESR) was practiced for the blood of various levels of PCV under the ambient temperature of $10^{\circ}C$, $20^{\circ}C$ and $30^{\circ}C$. Correlation of the ESR to the ambient temperature showed linear regression each in five levels of PCV. The ESR increased with ascending ambient temperature, and magnitude of the increase of the ESR became greater as the level of PCV lowered. Correlation of the ESR to PCV showed curvilinear regression each in three levels of the ambient temperature, and the ESR was increased with decreasing PCV. The data were statistically analysed and a list of relative anticipated $45^{\circ}$-Wintrobe-ESR values for PCV and ambient temperature was presented.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.311-322
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• 2020

This study aims to examine curvilinearly moderating effects of task interdependence on the relationship between demographic faultlines and group performance. It posits that the degree of task interdependence has an impact on the effects of demographic faultlines. It was conducted in six organizations in Korea, their industries including heavy industries, hospital, construction, petrochemical, fine chemicals, and system integration. The survey was distributed to 1330 individuals in 162 teams and 1082 individuals in 137 teams responded to the questionnaire. To test the hypotheses including nonlinear interactions, we conducted a hierarchical regression analysis to the survey data from 82 groups within six firms in Korea. The results show that for groups that experience a high level of task interdependence, the slope for the regression of demographic faultlines on group performance is comparatively low and, at the low level of task interdependence, insignificant. However, at intermediate levels of task interdependence, the association was strongly negative and significant. This study finds that the negative relationship between demographic faultlines and group performance is stronger when task interdependence is moderate than when task interdependence is high or low. Therefore, managers should pay attention to optimal group design by carefully assigning tasks in diverse and divided groups.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.1
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• pp.18-22
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• 2009

Short-term load forecasting (STLF) is an important task in power system planning and operation. Its accuracy affects the reliability and economic operation of power systems. STLF is to be classified into load forecasting for weekdays, weekends, and holidays. Due to the limited historical data available, it is more difficult to accurately forecast load for holidays than to forecast load for weekdays and weekends. It has been recognized that the forecasting errors for holidays are large compared with those for weekdays in Korea. This paper presents a polynomial regression with data mining technique to forecast load for holidays. In statistics, a polynomial is widely used in situations where the response is curvilinear, because even complex nonlinear relationships can be adequately modeled by polynomials over a reasonably small range of the dependent variables. In the paper, the coefficient of determination is proposed as a selection criterion for screening weekday data used in holiday load forecasting. A numerical example is presented to validate the effectiveness of the proposed holiday load forecasting method.

• Journal of Welding and Joining
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• v.14 no.4
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• pp.33-42
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• 1996

In recent years there has been a significant growth in the use of the automated and/or robotic welding system, carried out as a means of improving productivity and quality, reducing product costs and removing the operator from tedious and potentially hazardous environments. One of the major difficulties with the automated and/or robotic welding process is the inherent lack of mathematical models for determination of suitable welding process parameters. Partial-penetration, single-pass bead-on-plate welds were fabricated in 12mm AS 1204 mild steel flats employing five different welding process parameters. The experimental results were used to develop three empirical equations: curvilinear; polynomial; and linear equations. The results were also employed to find the best mathematical equation under weld bend width to assist in the process control algorithms for the Gas Metal Arc Welding(GMAW) process and to correlate welding process parameters with weld bead width of bead-on-plates deposited. With the help of a standard statistical package program. SAS, multipe regression analysis was undertaken for investigating and modeling the GMAW process, and significance test techniques were applied for the interpretation of the experimental data.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.67-81
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• 2013

Domestic telecommunication companies have increased in marketing expenditures and capital investments in their plants and equipments. Their expectation for their investment sometimes results in the shrinking of their ARPUs(average revenues per user) as well as decreasing of net profits. Those financial efforts have not always been positive relation with their ARPUs. Since western and european telecommunication industry recently have similar situation with our market where their mobile and network users have been saturated so that no more increased users are estimated. Therefore, this paper aims for first to explore methods maximizing the investments efficiency for the telecommunication company so that we choose bechmarked telecommmunication companies to explore their investment managing situation with resepct to their marketing and capital expenditure. Secondly this paper tried to suggest several public policy guidelines for domestic telecommunication industry. Total seventeen foreign telecommunication companies were selected and data set through official IR as well as AR were chosen. Curvilinear logarithmic regression analysis were tested to obtain elasticities as well as marginal effects. As a result, overspending on the marketing investment showed more negative indicators to their revenues, on the other hand, more investment in the Capex such as network infrastructures and other service facilities were more likely related to positive revenues.