• Journal of Global Scholars of Marketing Science
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• v.4
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• pp.173-196
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• 1999

현대의 급변하는 환경 하에서 다양한 고객의 욕구를 총족시켜야 하는 기업으로서는 기업성장에 관련된 전략을 끊임없이 수립하여야 한다. 특히 기존 시장 및 새로운 시장에 대해 지속적으로 소비자의 욕구 및 기업의 목적 등에 어느 정도 기여하는 가를 반드시 평가하여야 한다. 효과적인 시장의 선정은 기업의 목표를 달성하는 데 필요한 시장을 유지하게 할 뿐 아니라 기업의 가용자원을 사업과정에서 할당할 수 있게 해준다. 본 연구에서는 기업의 시장 평가와 선정을 위한 모형을 구축하였다. 기존 시장선정모형에서는 시장 성장률, 판매 수익, 현금 흐름 등과 같은 속성들의 단일 목표에 대한 최적해를 구하고자 하였다. 그러나 기업의 의사결정과정은 여러 상충하는 목적들을 동시에 고려하는 경우가 대부분이기 때문에 이러한 상황에 적합한 다목표 지향적인 수리모형 구축의 필요성이 제시되었다. 또한 제공되는 데이터의 불명확성과 여러 목적들을 동시에 고려할 경우 발생할 수 있는 의사결정자의 열망수준과 그 만족정도를 반영하기 위해 본 연구에서는 퍼지집합을 적용한 3 유형의 다목적계획모형을 제시하였다. 최소연산자 모형, 가중치 다목적계획 모형 및 선제우선순위 다목적계획모형의 구축 후, 설례를 통해 그 적용가능성을 알아보았다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.286-286
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• 2016

기후변화를 고려한 위한 미래 수자원 계획은 신뢰성 있는 수문기상인자의 산정을 통한 수자원 영향 평가 결과로 수립되는 것이 중요하다. 본 연구에서는 DHSVM모형과 TOPLATS모형에서 생산된 결과를 가지고 제약조건을 가지는 다중선형회귀 모형을 통하여 2012년-2014년 동안의 한반도 유역에 대한 수문기상인자를 산정하였다(Fig. 1). 다중선형회귀 모형은 하나의 종속변수의 변화를 설명하기 위하여 두 개 이상의 독립변수를 사용하는 모형으로 일반적으로 다중선형회귀 모형의 회귀 계수는 음의 값을 가질 수 있으므로 본 연구의 적용을 위하여 검정지점에 대하여 산정된 음의 회귀계수 값이 그대로 적용될 경우 적합하지 않으므로 회귀 계수에 제약조건을 부여하였다. 제한된 회귀 계수의 범위는 0-1사이를 가진다. 동적 다중선형 모형의 구성은 광릉 GCK, GDK 지점자료를 활용하였다.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.125-133
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• 2010

In general, curved bends raises a risk of overtopping due to floods and also threatens a bank safety due to a local flow concentration. This study aims to test the applicability of CCHE2D model for experimental flumes with two different types of bends and then investigate flow characteristics in the sharply-curved bend of a natural channel. The results demonstrated that the percent error of water level was within 4.9% for experimental flume applications and the simulated spatial distribution of velocity matched the observed results very closely. The calibrated model based on the experimental flumes was also applied to analyze the flow characteristics in natural channel bends of the Daeyu reach, located in a downstream of the Youngdam Dam. The results showed that in upstream, the simulated water level by the CCHED was observed at 1.5 m higher than the 1-D numerical model (HEC-RAS) result since the HEC-RAS could not represent the bend geometry effect on streamflow. However, the calculated results by several empirical formula support that the CCHE2D is suitable for the super elevation simulation as well as flood stage and velocity in a natural channel bend.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.141-154
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• 2018

In order to meet the ever-increasing demand for international air travel, several plans are underway to open new airports and expand existing provincial airports. However, existing air demand forecasts have been based on the total air demand in Korea or the air demand among major cities. There is not much forecast of regional air demand considering local characteristics. In this study, the outbound air travel demand in the southeastern region of Korea was analyzed and the fixed-effects model using panel data was proposed as an optimal model that can reflect the inherent characteristics of metropolitan areas which are difficult to observe in reality. The results of model validation show that panel data analysis effectively addresses the spurious regression and unobserved heterogeneity that are difficult to handle in a model using only a few macroeconomic indicators with time series characteristics. Various statistical validation and conformance tests suggest that the fixed-effects model proposed in this study is superior to other econometric models in predicting demand for international demand in the southeastern region.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3477-3483
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• 2015

A reasonable process for the activity duration estimation is required for the successful construction management because it directly affects the entire construction duration and budget. However, the activity duration is being generally estimated by the experience of the construction manager. This study suggests an estimation model of construction activity duration using neural network theory. This model estimates the activity duration by considering both the quantitative and qualitative elements, and the model is verified by a case study. Because the suggested model estimates the activity duration by a reasonable schedule plan, it is expected to reduce the error between planning duration and actual duration in a construction project.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.895-907
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• 2006

In this study, in order to maximize the accuracy and efficiency of the existing interpolation method fractal methods are applied. Developed FEDISA model revives the irregularity of the real terrain with only a few information about base terrain, which can produce almost complete geographic information. The area of the model is set to $150m{\times}150m$, $300m{\times}300m$, $600m{\times}600m$, $1,200m{\times}1,200m$ to compare the real data with the data of the existing interpolation method and FEDISA model. By statistical verification of the results, the adaptability and efficiency of FEDISA model are investigated. It seems that FEDISA model will help a lot to obtain the terrain information about the changed terrain, such as the bottom of reservoirs and dams as well as large amount of destruction due to cutting and banking.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.121-142
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• 2007

The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.369-378
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• 2013

The Korean Won-Dollar exchange markets showed radical price movements in the late 1990s and 2008. Therefore it provides good sources for studying volatility phenomena. Using the GARCH option models, I analysed how the prices of foreign exchange options react volatilities in the foreign exchange spot prices. For this I compared the explanatory power of three option models(Black and Scholes, Duan, Heston and Nandi), using the Won-Dollar OTC option markets data from 2006 to 2013. I estimated the parameters using MLE and calculated the mean square pricing errors. According to the my empirical studies, the pricing errors of Duan, Black and Scholes models are 0.1%. And the pricing errors of the Heston and Nandi model is greatest among the three models. So I would like to recommend using Duan or Black and Scholes model for hedging the foreign exchange risks. Finally, the historical average of spot volatilities is about 14%, so trading the options around 5% may lead to serious losses to sellers.

• Journal of Wetlands Research
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• v.13 no.1
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• pp.105-116
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• 2011

Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Therefore, the exact relationship and the spatial variability analysis of hydrometeorological elements and characteristic factors is critical elements to reduce the uncertainty in rainfall -runoff model. In this study, radar rainfall grid resolution and grid resolution depending on the topographic factor in rainfall - runoff models were how to respond. In this study, semi-distribution of rainfall-runoff model using the model ModClark of Inje, Gangwon Naerin watershed was used as Gwangdeok RADAR data. The completed ModClark model was calibrated for use DEM of cell size of 30m, 150m, 250m, 350m was chosen for the application, and runoff simulated by the RADAR rainfall data of 500m, 1km, 2km, 5km, 10km from 14 to 17 on July, 2006. According to the resolution of each grid, in order to compare simulation results, the runoff hydrograph has been made and the runoff has also been simulated. As a result, it was highly runoff simulation if the cell size is DEM 30m~150m, RADAR rainfall 500m~2km for peak flow and runoff volume. In the statistical analysis results, if every DEM cell size are 500m and if RADAR rainfall cell size is 30m, relevance of model was higher. Result of sensitivity assessment, high index DEM give effect to result of distributed model. Recently, rainfall -runoff analysis is used lumped model to distributed model. So, this study is expected to make use of the efficiently decision criteria for configurated models.