• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.603-615
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• 2012

Durability testing method trends of the thermal barrier coating(TBC) for the combustion chamber of the liquid-propellant rocket engine has been investigated. Many types of the durability testing method such as the mechanical tests to measure surface cohesion force, the thermal fatigue tests with laser, furnace, burner or plasma, the small scale combustion tests using injectors, and the thermo-mechanical fatigue tests were observed. The TBC with sufficient durability can be selected for the use of combustion chamber through such specimen-level tests and the durability can be verified by the tests using the real scale combustion chambers.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.73-87
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• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.

• The Korean Journal of Financial Studies
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• v.6 no.1
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• pp.23-45
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• 2000

기존연구에 의하면 무상증자의 공시는 공시기간 중 정(+)의 가격효과를 초래하는 것으로 나타나고 있다. 무상증자에 대한 이러한 시장의 호의적인 반응을 설명하기 위해 여러 가설이 제기되어 왔으며, 그 중 무상증자는 좋은 내부정보를 외부에 신빙성 있게 전달하는 신호기제가 될 수 있다는 신호가설이 특히 지지를 받고 있다. 그런데 짧은 공시기간 중의 정(+)의 주가반응만을 보고 신호가설이 지지된다고 단정짓는데는 무리가 있다. 본 연구에서는 과연 신호가설이 주장하는 것처럼 무상증자가 사업기회의 확대, 미래현금흐름의 증대, 추후 차입여력의 증대를 가져오는가를 더 면밀히 검증하기 위하여 무상증자 실시기업의 장기성과를 조사하였다. 본 연구의 특징은 (1)공시기간 이후의 1년 이내의 기간에 중점을 둔 대부분의 기존연구와 달리 증자 후 36개월간의 장기성과를 측정하였으며, (2)주가수익률 자료와 회계자료를 동시에 이용하여 장기성과를 조사하였고, (3)장기 초과수익률 측정과 검증에 있어 통계적 오류가 있는 누적초과수익률(CAR)을 보완하기 위해 매입보유초과수익률(BHAR)을 사용했으며, 이를 위해 엄격한 기준을 적용하여 표본기업과 비교기업을 선정하였다는 데 있다. 실증분석 결과 신호가설을 지지하는 증거는 발견하지 못하였으며 오히려 무상증자 실시기업이 시장평균 또는 비교기업인 비증자기업에 비해 장기적으로 주가수익률 및 영업성과에 있어 저성과를 보이는 증거를 상당 수 발견하였다. 구체적으로 동일가중평균수익률로 조정한 보유기간 초과수익률의 경우 증자 후 1개월에서 24개윌까지의 BHAR이 5% 미만 수준에서 부(-)의 값을 보였으며, 비모수통계치를 사용할 경우 $1{\sim}36$개월까지의 전기간에서 유의한 부(-)의 저성과를 보이고 있다. 또한 영업성과면에서도 증자기업이 비증자기업에 비해 증자 후 수익성과 현금흐름이 저조하게 나타나고 있다.해 현물시장의 수익률, 변동성이 높은 것으로 나타났으나, 변경후에는 현물시장에 비해 선물시장의 수익률 변동성이 높은 것으로 나타났다. VAR 분석에 의하면 변경후가 변경전에 비하여 선물이 현물을 선도하는 시차가 다소 커진 것으로 나타나 현물시장과 선물시장이 동시에 가격제한폭 확대후에 비효율적으로 되었다는 의미로 판단된다.기간에서는 선물의 15분 선도효과와 현물의 1분 선도효과가 발견되어 선물의 선도효과가 지배적임을 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을 개발 및 활용할 수 있으며, 특히, 한국주식시장에 적합한 거래전략은 반전거래전략이고, 이 전략의 유용성은

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.287-298
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• 2014

This study is to identify how social capital is accumulated and used in SNS space, furthermore, is to examine the impact of structural and relational social capital on SNS user satisfaction, and continuous intention of information sharing. The empirical test showed that social interaction ties have a significant and positive impact on relational social capital(trust in SNS site, trust in SNS user, reciprocity). In addition, it was proven that trust in SNS site played a critical role in satisfying SNS user whereas trust in user and reciprocity was not related to SNS user satisfaction. Finally, trust in SNS site and reciprocity were proven to be key determinants of continuous information sharing intention, whereas trust in user was not related to continuous information sharing intention.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.463-470
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• 2016

Construction companies calculate their revenues and costs from constructing activities using the 'Percentage of Completion Method', which is based on ratio of actual construction cost to total costs estimated. The reliability of the net profit of construction companies is being evaluated lower than other industries due to incorrect application of 'Percentage of Completion Method' to cover losses actually occurred. Therefore, the purpose of this study is to verify the quality of earnings calculated based on 'Percentage of Completion Method' in terms of information usefulness. Results from empirical analysis show that investors in stock market underestimate the value of the construction companies' earning information by applying 'Percentage of Completion Method' and not actively use in investment decision making. Accordingly, it has been confirmed that the association between income information and stock prices falling. These results suggest the need for strict supervision of the supervisory authorities and the practical application of 'Percentage of Completion Method' in reliability.

• Journal of Soil and Groundwater Environment
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• v.12 no.1
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• pp.44-52
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• 2007

This study reviewed the overall process of application of contaminant fate and transport model as part of risk assessment. Site characterization and establishment of a conceptual model prior to establishing or selecting a appropriate model were described. Types of models, model selection guidance, and generic site conditions for model application were presented, the process of model calibration, validation, and sensitivity analysis were reviewed. Objectives of modeling should be defined before model selection, and the complexity of selected models should balance the quantity and quality of available input data with the desired model output. If model output is highly sensitive to an assumed or default value of input parameter, or fate and transport models cannot be adequately calibrated or validated, consideration should be given to other options such as using measured data or using another model.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.141-152
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• 2013

This study investigates the determinants of users' continuance intention in mobile application market, and examines the structural relationships between predictors and users' continuance intention. Based on the intensive review of prior research related to Internet and mobile services, mobile application richness, brand awareness, user habit, user loyalty were selected as the predictors of users' continuance intention. Using 259 surveys, the research model was assessed and the research hypotheses were tested. The findings show that mobile application richness is positively related with brand awareness and user loyalty. Brand awareness is proven to be a key predictor of user habit and user loyalty. Futhermore, it is shown that user habit has a direct impact on user loyalty and users' continuance intention. Finally, it was proven that user loyalty is a pretty important determinant of users' continuance intention.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.35-35
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• 2019

본 연구에서는 분포형 수문 모형 Drying Stream Assessment Tool and Water Flow Tracking (DrySAT-WTF)을 활용해 우리나라의 1976년부터 2015년까지의 유출량을 산정하고, 이를 다층퍼셉트론(Multi Layer Perceptron) 인경신경망 모형(Artificial Neural Network Model)에 적용해 미래 유출을 예측하였다. DrySAT-WFT은 전국 표준 유역을 대상으로 하천 건천화 원인 추적 및 평가를 위해 개발된 모형으로 유출모의를 위한 기상자료 외에 건천화 영향 요소를 고려하기 위한 산림 높이, 도로망, 지하수 이용량, 토지이용, 토심 변화에 대한 DB를 적용 가능한 것이 특징이다. DrySAT-WFT를 위한 기상자료로 모의 기간에 대한 일별 강우량, 상대습도, 평균풍속, 평균 및 최고, 최저 기온, 일조시간을 구축하였으며, 연대별 건천화 영향 요소 DB를 구축하여 적용하였다. 전국 다목적 댐 보 12지점의 유량을 활용해 모형의 보정(2005-2010) 및 검증(2011-2015)을 실시한 결과, 평균 결정계수(Coefficient of determination, $R^2$)는 0.76, 모형효율성계수(Nash-Sutcliffe efficiency, NSE)는 0.62, 평균제곱근오차(average root mean square error, RMSE)는 3.09로 신뢰성 있는 유출 모의 결과를 나타내었다. 미래 유출량 예측을 위한 MLP-ANN은 1976년부터 2015년까지의 유출 모의 결과를 Training Set으로 훈련하여 $R^2$가 0.5 이상이 되어 신뢰성을 확보하였고, 2016년부터 2018년까지의 기간을 1개월 단위로 실제 유출량과 예측 유출량을 비교하며 적용성을 검증 및 향상시켰다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.2 s.5
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• pp.129-140
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• 2004

In this paper, we conduct the research about optimal aggregation interval of travel time data on interrupted traffic flow and verify the reliability of AVI collected data by using car plate matching method in RTMS for systematic collection and analysis of link travel time data on interrupted traffic flow rural arterial. We perform Kolmosorov-Smirnov test on AVT collected sample data and on entire population data, and conclude that the sample data does not represent pure random sampling and hence includes sample collection error. We suggest that additional review is necessary to investigate the effectiveness of AVI collected sample data as link representative data. We also develop statistical model by applying two estimation techniques namely point estimation and interval estimation for calculating optimal aggregation interval. We have implemented our model and determine that point estimate is preferable over interval estimate for exactly selecting and deciding optimal aggregation interval. Our final conclusion is that 5-minute aggregation interval is optimal to estimate travel time in RTMS, as is currently being used our investigation is based on AVI data collected from Yang-ji to Yong-in $42^{nd}$ National road.

• Information Systems Review
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• v.20 no.4
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• pp.79-96
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• 2018

This study started by focusing on the internalization of the technology appraisal model into the credit rating model to increase the discriminative power of the credit rating model not only for SMEs but also for all companies, reflecting the items related to the financial stability of the enterprises among the technology appraisal items. Therefore, it is aimed to verify whether the technology appraisal model can be applied to identify high-stability SMEs in advance. We classified companies into industries (manufacturing vs. non-manufacturing) and the age of company (initial vs. non-initial), and defined as a high-stability company that has achieved an average debt ratio less than 1/2 of the group for three years. The C5.0 was applied to verify the discriminant power of the model. As a result of the analysis, there is a difference in importance according to the type of industry and the age of company at the sub-item level, but in the mid-item level the R&D capability was a key variable for discriminating high-stability SMEs. In the early stage of establishment, the funding capacity (diversification of funding methods, capital structure and capital cost which taking into account profitability) is an important variable in financial stability. However, we concluded that technology development infrastructure, which enables continuous performance as the age of company increase, becomes an important variable affecting financial stability. The classification accuracy of the model according to the age of company and industry is 71~91%, and it is confirmed that it is possible to identify high-stability SMEs by using technology appraisal items.