• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.37-50
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• 2005

This study analyzes the effect of airport investment on GRDP(Gross Regional Domestic Product) using Regional Production Function with public investment on social infrastructure. Particularly it includes the spillover effect of airport investment on the economies of neighbor regions beyond border. We estimate regional production function with the independent variable of airport investment stock using panel data with regional cross-section and time-series data. In the analysis with aggregate data of all industries, it shows the positive relationship between airport investment and GRDP which implies the affirmative effect of airport investment on regional economy in the aspects of direct and indirect spill-over effects. On the contrary, the research results of each industry do not appear to be the same. With the different characteristics of each industry, the direct and indirect effect may not be the same and the SOC investment contributes to the restructuring of regional economy by altering the industrial organizations of any specific region and its neighbors.

• Journal of the Korea Society for Simulation
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• v.24 no.3
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• pp.89-96
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• 2015

In order to use missiles more effectively, assessing methodologies was advanced about weapon effects for various target types. We tried to find out the most effective analysis methodologies for missiles to attack 3 dimensional building target's and analyzed adaptedness as an assessing methodology. There are EFD (Expected Fractional Damage) and SSPD (Single Sortie Probability of Damage) methodologies to assess building target damage. In order to calculate effectiveness we used input parameter such as size of the target and CEP (Circular Error Probable), MAE_bldg (Mean Area of Effects for Building) of weapons and impact angle as encountering condition between the target and the missile. We compared EFD and SSPD, in order to analyze adaptedness as a effective methodology by CEP and MAE. The result was that EFD methodology was more adaptive to assess 3 dimensional building targets by missile systems than SSPD.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.472-483
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• 2019

This study purposed to analyze how teacher experience of instructional change (EIC), teacher morale (TM), and school climate (SC) mediate or moderate the relationship between teacher efforts on instructional improvement (EII) and teacher efficacy (TE). For the purpose, the 6th year data of Gyeonggi Education Panel Study (GEPS) which was administered in 2017 for the 9th grade students and their teachers from 197 middle schools in Gyeonggi Province was used. As results, the mediation effects of EIC on the link between EII and TE was found only under the innovative climate. The moderation effects of TM on the connection between EIC and TE were appeared in both of the permissive and the innovative climate. Finally, the moderated mediation effects of the TM in the innovative climate were bigger rather than in the permissive climate.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.949-959
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• 2012

This article is to find the right size of decision trees that performs better for boosting algorithm. First we defined the tree size D as the depth of a decision tree. Then we compared the performance of boosting algorithm with different tree sizes in the experiment. Although it is an usual practice to set the tree size in boosting algorithm to be small, we figured out that the choice of D has a significant influence on the performance of boosting algorithm. Furthermore, we found out that the tree size D need to be sufficiently large for some dataset. The experiment result shows that there exists an optimal D for each dataset and choosing the right size D is important in improving the performance of boosting. We also tried to find the model for estimating the right size D suitable for boosting algorithm, using variables that can explain the nature of a given dataset. The suggested model reveals that the optimal tree size D for a given dataset can be estimated by the error rate of stump tree, the number of classes, the depth of a single tree, and the gini impurity.

• Journal of Animal Science and Technology
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• v.51 no.2
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• pp.129-134
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• 2009

The aim of this study was to estimate genetic parameters and annual trends on the racing performance of Thoroughbred horses by a statistical analysis of the resulting records. We used the racing results of 245,979 observations for 13,458 horses recorded in 19 years of race held at Seoul and Busan racing tracks, provided by Korea Racing Authority. After a careful adjustment of some variables such as racing times, jockey and trainer numbers and the average prize a horse won, we selected significant factors that explain the result of racing records of a horse by stepwise AIC and BIC methods. The estimated heritability and repeatability were 0.322 and 0.332, respectively. The average of annual phenotypic and genetic improvement was -0.166 seconds and -0.161 seconds, respectively. Based on the statistical approach, we established reasonable animal model of well-set variables, which is important in the study on estimating performance of racing horses.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.616-618
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• 2002

MLP(multilayer perceptron)는 다른 패턴인식 방법에 비해 몇 가지 이점이 있어 다양한 문제영역에서 사용되고 있다 그러나 MLP의 학습에 일반적으로 사용되는 EBP(error backpropagation) 알고리즘은 학습시간이 비교적 오래 걸린다는 단점이 있으며, 이는 실시간 처리를 요구하는 문제나 대규모 데이터 및 MLP 구조로 인해 학습시간이 상당히 긴 문제에서 제약으로 작용한다. 패턴인식에 사용되는 학습데이터는 풍부한 중복특성을 내포하고 있으므로 패턴마다 MLP의 내부변수를 갱신하는 은라인 계열의 학습방식이 속도의 향상에 상당한 효과가 있다. 일반적인 온라인 EBP 알고리즘에서는 내부 가중치 갱신시 고정된 학습률을 적용한다. 고정 학습률을 적절히 선택함으로써 패턴인식 응용에서 상당한 속도개선을 얻을 수 있지만, 학습률을 고정함으로써 온라인 방식에서 패턴별 갱신의 특성을 완전히 활용하지 못하는 비효율성이 발생한다. 또한, 학습도중 패턴군이 학습된 패턴과 그렇지 못한 패턴으로 나뉘고 이 가운데 학습된 패턴은 학습을 위한 계산에 포함될 필요가 없음에도 불구하고, 기존의 온라인 EBP에서는 에폭에 할당된 모든 패턴을 일률적으로 계산에 포함시킨다. 이 문제에 대해 본 논문에서는 학습이 진행됨에 따라 패턴마다 적절한 학습률을 적용하고 필요한 패턴만을 학습에 반영하는 패턴별 가변학습률 및 학습생략(COIL) 방댑을 제안한다. 제안한 COIL의 성능을 입증하기 위해 화자증명과 음성인식을 실험하고 그 결과를 제시한다.

• Journal of Korean Society of Transportation
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• v.12 no.4
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• pp.53-63
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• 1994

도시확산과 지방분권화의 시대적 추세는 도시경제 및 교통-토지이용모형의 구조에 도 영향을 미치고 있다. 첫째, 도시의 공간적 확산과 고밀도화로 인한 도시내 제반 경제.사 회활동이 이전보다는 훨씬 다양해지고 복잡해지고 있다. 둘째, 지방분권화로 인해 대도시내 작은 지역단위별 주민들이 자신의 지역문제에 대한 관심과 요구들이 증가하고 있다. 또한 대부분의 도시계획 및 정책은 대도시내 공간적으로 뿐만 아니라 서로 다른 이익집단에 상이 한 영향을 미치는 것으로 파악되고 있다. 이러한 요인으로 인해 대도시 모형은 1) 도시내 제반활동의 흐름을 체계적으로 분석할 수 있어야 하며, 2) 도시계획 및 정책의 효과를 도시 내 세분화된 공간별, 업종별로 분석할 수 있어야 한다. 본 연구는 Wilson의 모형에 도시내 중요한 경제활동인 통근과 shopping변수를 추가하여 Wilson의 모형이 대도시모형으로 이용 될 때 발생하는 문제를 해결하였다. 또한 모형을 구성함에 있어 Matrix Inversion과 Non-linear Programming Model의 두 가지 방법을 도입하고 그 장단점을 비교하였다. Matrix Inversion의 경우 해 (Solution)을 찾기가 쉬워 실질적이고 승수계산과정에서 각 Round마다 승수의 크기를 알 수 있는 반면 Programming을 통한 모형의 경우 제약식의 도 입이 용이하고 목적함수의 형태를 바꾸는 것이 가능하므로 이론적 기틀을 세우는데 유리한 접근방법으로 분석되었다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.2
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• pp.38-48
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• 2001

Kalman Filter model of demand for residental water and consumption pattern wore tested for their ability to explain the hourly residental demand for water in metro-politan distribution system. The daily residental demand can be obtained from Kalman Filter model which is optimized by statistical analysis of input variables. The hourly residental demand for water is calculated from the daily residental demand and consumption pattern. The consumption pattern which has 24 time rates is characterized by data granulization in accordance with season kind, weather and holiday. The proposed approach is applied to water distribution system of metropolitan areas in Korea and its effectiveness is checked.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.4
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• pp.209-234
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• 2011

The purpose of this study is to verify effects between the place attachment and the place value in public libraries; and also to identify whether frequency and purpose of usage, length of residence, and website use play a moderating role in the influential relationship between users' place attachment and the perception of place value for public libraries. Users' place dependence affected the library's value positively(+) due to moderating effect of usage frequency of the library and the users' length of residence. In order to estimate the moderating effect by purpose of use, the groups were divided by purpose of library use and the relationship between place attachment and place value by groups were analyzed. However, website usage bore no effect on users' place attachment or perception of place value to their local library. This study showed that place attachment as an affective indicator on users is very useful variable to explain the value of libraries as a social and cultural place.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.51-61
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• 2018

As Korean society becomes more matured, more people consider trust valuable, as a social capital. Researchers introduced trust literatures focusing on public policy, sociology than business. In this paper, it is empirically analyzed how Organizational Justice, Shared Values, Organizational Trust, 3 dimensions of social capital explained by Nahapiet & Ghoshall, together with Job Satisfaction and Innovative Behavior, as a proxy of performance at the organizational level. The results of this study are as below. Firstly Organizational Justice, consisted of 4 sub-variables of Distributional Justice, Procedural Justice, Interpersonal Justice and Informational Justice, classified by Colquitt, affects Job Satisfaction positively. Secondly Shared Values, consisted of 2 sub-variables of CEO's Core Value and Organizational Culture, availing Competing Value Model of Cameron & Quinn, affect Job Satisfaction positively. Thirdly Job Satisfaction, consisted of 2 sub-variables of economical satisfaction and self-efficacy, affects Innovative Behavior positively. Lastly Organizational Trust has mediating effect on the relationship between Job Satisfaction and Innovative Behavior. However, while the direct effect of Job Satisfaction on Innovative Behavior shows 69%, the indirect effect of Organizational Trust on Innovative Behavior shows 31%, which may not be ignorable. Furthermore in case of smaller organization with less than 30 members, the indirect effect of Organizational Trust shows 64%, comparing to 36% of direct effect of Job Satisfaction. This study was able to confirm that organizations need to maintain Organizational Trust as much as they strive to increase Job Satisfaction through securing Organizational Justice and Shared Values in order to effectively increase Innovative Behavior. For small organizations with less than 30 members, they can never achieve Innovative Behavior without Organizational Trust. Conclusively it is acknowledged that Organizational Trust is the most important prior condition for innovation and long-term survival of SME ventures.