• KDI Journal of Economic Policy
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• 제40권4호
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• pp.23-45
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• 2018

The Korean government has provided various policy devices to boost technology transfers between academia and industry since the establishment of the Technology Transfer Promotion Act in 2000. Along with the enactment of the law, the Korean government mandated the establishment of a technology transfer office at national and public universities and encouraged technology transfer activities. Despite the quantitative expansion of technology transfer offices (TTOs), operational inefficiency was brought up. As a supplementary policy, the Korean government implemented a line of projects to support the labor and business expenses of leading TTOs. This research questions whether the project greatly affected the technical efficiency of TTOs. We analyze publicly available university panel data from 2007 to 2015 using a one-step stochastic frontier analysis. The results suggest that the program was marginally effective at shifting the technical efficiency distribution to the right on average, but it failed to maximize its impact by diversifying the policy means based on targets. The marginal effects of the program on technical efficiency differ according to the research capability and size of each school. We also compare technical efficiency against the licensing income at the start and end of the program. Technical efficiency increased for the leading TTOs, and both measures show improvements for unsupported TTOs. Our empirical results imply that diversifying the program for universities with different characteristics may have improved the effectiveness of the policy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.296-297
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• 2008

This paper proposed a methods to ATC calculation using energy function. In this paper, ATC was calculated as PTDF, LODF, RPF and Energy Function method and calculation results of each methods was compared. Contingency ranking method decided the overloading branches by PI-index. As a result, a study proved the fast and accurate ATC calculation method considering contingency suggested in this paper.

• Journal of Electrical Engineering and Technology
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• 제5권2호
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• pp.209-219
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• 2010

In this paper, a novel dynamic available transfer capability (DATC) has been computed for real time applications using three different intelligent techniques viz. i) back propagation algorithm (BPA), ii) radial basis function (RBF), and iii) adaptive neuro fuzzy inference system (ANFIS) for the first time. The conventional method of DATC is tedious and time consuming. DATC is concerned with calculating the maximum increase in point to point transfer such that the transient response remains stable and viable. The ATC information is to be continuously updated in real time and made available to market participants through an internet based Open Access Same time Information System (OASIS). The independent system operator (ISO) evaluates the transaction in real time on the basis of DATC information. The dynamic contingency screening method [1] has been utilized and critical contingencies are selected for the computation of DATC using the energy function based potential energy boundary surface (PEBS) method. The PEBS based DATC has been utilized to generate patterns for the intelligent techniques. The three different intelligent methods are tested on New England 68-bus 16 machine and 39-bus 10 machine systems and results are compared with the conventional PEBS method.

• 지식경영연구
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• 제1권1호
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• pp.1-18
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• 2000

Knowledge management has recently emerged as an appealing subject in management literature. Although its history is short, it can benefit greatly from the long history of other related disciplines in building its theories. Innovation, organizational learning, knowledge creation, organizational capability building, technology transfer and network, information technology, organizational behavior, and intellectual capital are the disciplines that have accumulated theories related to knowledge management. This paper first presents a conceptual framework that integrates three dimensions: the characteristics of knowledge (tacit and explicit), knowledge process (acquisition, creation, diffusion, storing, measurement, and application of knowledge), and the unit of analysis (individual, organization, sector, and nation). The conceptual framework produces a number of cells that need to be filled by new theories in order to understand knowledge management better. It then reviews existing theories available in the related disciplines that may be used as building blocks in constructing new theories for these cells. Finally, based on the theories available in other disciplines, the paper suggests a set of future research directions for knowledge management at the level of individual, organization, sector, and nation.

• 에너지공학
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• 제14권4호
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• pp.232-240
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• 2005

경수 및 중수로 원자로계통에 대한 열수력 안전해석을 위해 개발된 MARS 코드가 고온가스로에 적용될 수 있을지 화인하기 위하여 IAEA TECDOC-1163에서 제시된 고온가스로 원자로공동냉각계통에 대한 Benchmark problem을 평가계산 하였다. HTR-10과 HTTR의 MARS 코드 계산결과는 기 보고된 THERMIX 코드와 THANPACST2 코드의 계산결과 그리고 가용한 실험결과와 비교한 바, 최대 오차범위 $4.5\%$ 정도로 전반적으로 일치하는 것으로 나타났다. 오차의 주요 원인은 복잡한 기하학적 구조를 단순하게 모델링한 부분과 MARS 코드에서 모사하기 어려운 냉각기 , 공기냉각기와 같은 고온가스로. Component에서 발생하였다. 경수형 원자로에서는 중요하게 고려하지 않았던 복사열전달이 고온가스로 원자로공동에서는 붕괴열 제거에 중요한 역할을 수행하는 것으로 나타났다. 결론적으로, 본 연구를 종합하여 볼 때 MARS 코드는 고온가스로 원자로공동냉각계통의 냉각능력을 잘 모사하고 있으며 향후 수소생산용 고온가스로 개발에 있어서 안전해석 코드로서의 역할을 충분히 수행할 수 있을 것으로 판단된다.

• 한국멀티미디어학회논문지
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• 제21권2호
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• pp.98-107
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• 2018

In this paper, we propose a method to classify the skeletal maturity with a small amount of hand wrist X-ray image using deep learning-based meta-learning. General deep-learning techniques require large amounts of data, but in many cases, these data sets are not available for practical application. Lack of learning data is usually solved through transfer learning using pre-trained models with large data sets. However, transfer learning performance may be degraded due to over fitting for unknown new task with small data, which results in poor generalization capability. In addition, medical images require high cost resources such as a professional manpower and mcuh time to obtain labeled data. Therefore, in this paper, we use meta-learning that can classify using only a small amount of new data by pre-trained models trained with various learning tasks. First, we train the meta-model by using a separate data set composed of various learning tasks. The network learns to classify the bone maturity using the bone maturity data composed of the radiographs of the wrist. Then, we compare the results of the classification using the conventional learning algorithm with the results of the meta learning by the same number of learning data sets.

• 조명전기설비학회논문지
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• 제21권2호
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• pp.86-93
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• 2007

본 논문은 가용송전용량(ATC)를 계산하기 위한 두 가지 빠른 계산 기법을 제안한다. 이 방법들은 선로의 열적용량한계(Thermal ATC)와 전압 안정도한계(Voltage ATC)를 제약조건으로 ATC를 계산한다. 먼저 선로의 열적용량을 고려한 방법에서는 모선의 전력 변화에 대한 선로의 조류 감도인 PTDF와 n-1 상정사고를 고려한 LODF를 이용하였으며, 전압안정도를 고려한 방법에서는 2모선 등가 시스템을 이용하여 최대 전력을 구하는 방법을 이용하였다. 제안된 방법은 IEEE 30모선 계통에 적용하였으며 그 결과를 다른 방법과 비교하여 제안된 방법의 타당성을 입증하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.63-65
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• 2005

Korea Electric Power Corporation (KEPCO) is in charge of the operation and the maintenance for transmission lines and substations in Korean power system which is under the deregulation power market. KEPCO has a main constrain of transmission line toward SEOUL area which is a capital of KOREA because SEOIJL is a huge load of Korean power system. The Korea Electric Power Research Institute (KEPRI)), a division of KEPCO was tasked to study the ATC enhancement of transmission line toward SEOUL using a new line or/and FACTS. This paper summarizes the results of those studies, enhancing the ATC and evaluating the economics.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.822-824
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• 2005

This paper presents a scheme to solve the congestion problem using phase-shifting transformer(PST) in power systems. Available transfer capability(ATC) is an important indicator of the usable amount of transmission capacity accessible by several parties for commercial trading in power transaction activities. This paper deals with an application of optimization technique for ATC calculation. Sequential quadratic programming(SQP) is used to maximize power flow of tie line subject to security constraints such as voltage magnitude and real power flow. The proposed method is applied to 10 machines 39 buses model systems to show its effectiveness.

• 대한전기학회논문지:전력기술부문A
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• 제48권10호
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• pp.1222-1230
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• 1999

This paper presents the framework for analysis of small-signal stability. In this framework the equilibrium points of system DAE model are traced using continuation method and instability points are determined on the solution path. Especially Implicit shift QR-modified Arnoldi method is utilized to calculated the rightmost eigenvalues. Small-signal stability is becoming one of the major factors that affect the ATC in the environment of deregulation. Stability limited ATC is easily evaluated in this stability analysis process.