• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.462-463
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• 2006

본 논문에서는 당사에서 개발한 Digital Relay 및 Meter와 같은 IED들의 고장/이벤트 파형을 분석하는 툴인 Wave Analyzer를 소개한다. 기존 당사 파형 분석 툴들은 각기 하나의 IED에 대해서만 적용 가능하였으나 Wave Analyzer는 당사의 모든 IED에 대해 적용 가능하도록 통합형으로 개발하였다. 또한 고조파 분석, 벡터 다이어그램 등 파형 분석에 필요한 다양한 기능을 제공한다. Wave Analyzer는 다양한 기능을 가지고 있으며 모든 IED에 적용할 수 있어 당사 IED를 사용하는 사용자들에게 보다 편리함과 유용함을 제공할 것이다.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.67-82
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• 2013

Railway is paid attention as a means of environment-friendly transportation and logistics. Efforts to enhance the competitiveness by IT convergence, for railway vehicle market share of the world, has been promoted. This study proposes a technology development plan of railway IT convergence. We analyzed the results of legacy researches and technology patents related with railway IT convergence and derived the target tasks in accordance with our technologies classification. By adopting the multi-attributes utility theory methodology and using survey of experts, we selected the core research issues. The result of this study could help policy making and R&D planning about railway IT convergence.

• Journal of Animal Environmental Science
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• v.14 no.1
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• pp.39-46
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• 2008

Experiments were carried out to evaluate the air speed distribution of an enclosed growing-finishing pig house in summer and winter. The data taken by experiments were compared to validate with the calculated air speeds by a commercial CFD code, FLUENT. Air basically enters into the house through Baffled slot Inlet and leaves through a exhaust fan attached on the Exhaust fan in exiting wall of the house. Air speeds were measured as $2{\sim}2.5m/s$ at the two side slot in winter and 0.8 m/s in summer. The validation showed that a CFD simulation is one of feasible methods to predict airspeed distribution in the growing-finishing pig house.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.225-226
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• 2014

본 연구에서는 회귀분석을 통해 오피스 건물의 에너지 사용량을 예측하는 시스템을 개발하고 이를 실증하는 실험적 연구를 수행하였다. 회귀분석의 파라미터로는 외기온도, 에너지 사용량 등이 사용되었으며 예측 정확도 향상을 위해 파라미터를 확장해서 실험하였다. 에너지 사용량 예측에 대한 검증을 위해서 실시간 데이터 수집과 분석을 위한 시스템을 개발하였으며, 해당 시스템을 이용해 수원 소재 오피스 건물에서 실증한 결과에 따르면 겨울철 에너지 사용량에 대한 예측 오차율이 10% 미만으로 나타났다.

• The Journal of Society for e-Business Studies
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• v.20 no.4
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• pp.209-225
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• 2015

Research and development projects in railroad domain are different from those in other domains in terms of their close relationship with laws. Some cases are reported that new technologies from R&D projects could not be industrialized because of relevant laws restricting them. This problem comes from the fact that researchers don't know exactly what laws can affect the result of R&D projects. To deal with this problem, we suggest a model for law retrieval system that can be used by researchers of railroad R&D projects to find related legislation. Input of this system is a research plan describing the main contents of projects. After laws related to the R&D project is provided with their rankings, which are assigned by scores we developed. A ranking of a law means its order of priority to be checked. By using this system, researchers can search the laws that may affect R&D projects throughout all the stages of project cycle. So, using our system model, researchers can get a list of laws to be considered before the project they participate ends. As a result, they can adjust their project direction by checking the law list, avoiding their elaborate projects being useless.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.11a
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• pp.323-343
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• 2003

• Proceedings of the KSR Conference
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• 2009.05b
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• pp.165-170
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• 2009

The Korean high-speed rail network has been made a remarkable growth recording the world's 4th rank passenger transportation scale during last 5 years after opening the revenue service of Kyoung-bu high-speed line in 2004. However, in spite of it's outstanding growth, Korean Rail technology should meet a demand of intensive technology development in order to prepare a severe competition with an advance parties of worldwide high-speed rail technology. In this paper, the characteristics and new trend of world's rail industry was reviewed based on the most recent statistics and papers of worldwide rail network from UIC and WCR32008. In conclusion, new R&D strategy with choice an concentration for the Korean high-speed rail industry was suggested based on an analysis on the trend of evolution of the state of the art technologies in worldwide high-speed rail system.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.1-18
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• 2012

This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

• Journal of the Korean Society for Railway
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• v.20 no.1
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• pp.85-98
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• 2017

In general, under the repetitive dynamic load generated by rail cars running on the track, subgrade soil experiences changes of stress conditions such as deviatoric stress (${\sigma}_d$) and bulk stress (${\theta}$). Due to the repetitive change of deviatoric stress (${\sigma}_d$) with number of loadings, the resilient modulus ($M_R$) can be obtained by using the measured resilient strain (${\varepsilon}_r$) after a sufficient number of loadings. At present, no plausible and unified test method has been proposed to obtain the resilient modulus of railway track subgrade soil. In this study, a possible test method for obtaining the resilient modulus ($M_R$) of railway track subgrade soil is proposed; this test, by utilizing repetitive triaxial compression testing, can consider all the important parameters, such as the confining stress, deviatoric stress, and number of loadings. By adapting and using the proposed test method to obtain $M_R$, $M_R$ values for compacted track subgrade soil can be successfully determined using soil obtained in three field sites of railway track construction with changing water content range from OMC. In addition, shear modulus (G) ~ shear strain (${\gamma}$) relation data were also obtained using a mid-size RC test. A correlation analysis was performed using the obtained G and $M_R$ values while considering the strain levels and modes of strain direction.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.99-111
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• 2016

This paper presents a framework to analyze the change in the research and development (R&D) efficiency of government-funded research institutes (GRIs) in Korea. Cumulative data envelopment analysis/Malmquist index method is utilized to analyze the changes in R&D efficiency of GRIs. Data analysis of the R&D activities of 10 GRIs in Korea Research Council of Fundamental Science & Technology showed that the average R&D efficiency of the 10 GRIs improved from 2009 to 2013. However, the efficiency of a few GRIs decreased in terms of the catch-up index. The proposed framework can help management teams diagnose the current state of R&D activities and determine the efficacy of strategic actions by comparing efficiencies in the past.