• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.48.1-48.1
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• 2016

남십자자리(Crux)는 현재 북반구 중위도 지역에서는 관측할 수 없는 별자리지만 고대 중국의 전통 별자리 체계가 성립되던 시기인 춘추전국시대만 하더라도 지평선 부근에서 쉽게 관측할 수 있는 별자리였다. 우리는 세차운동 계산을 통해 남십자자리가 출몰성에서 전몰성으로 변했음을 확인하였고, 고대 중국의 문헌 기록과 성표, 성도의 별자리 그림 분석을 통해 남십자자리의 밝은 4개의 별이 중국의 전통 별자리인 고루성(庫褸星)과 일치함을 확인하였다. 또한 남십자자리가 관측되던 시기와 관측되지 않던 시기에 각각 작성되었던 성표와 성도 분석을 통해 고루성의 별자리 모양이 점차 변형되어 갔음을 제시하였다. 마지막으로 서양의 천문기술이 중국에 전해 진 이후 진행된 동서양의 별자리 상호 비교 및 동정 결과들을 분석하여 중국의 전통 별자리 체계에서 어떻게 고루성이 완전히 배제되게 되었는지에 대한 논의를 포함, 본 연구의 초기 결과들을 발표할 예정이다.

• 사회경제평론
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• v.31 no.3
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• pp.307-346
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• 2018

Gunnar Myrdal has struggled throughout his academic life with the problem of the role of valuations in social sciences. His earlier viewpoint was that valuations should be completely separated from scientific analysis on facts. But he soon fundamentally changed his viewpoint. His later viewpoint was that social scientists should disclose his valuations, for valuations intervene all the processes of scientific researches. Value premises are the valuations coherently reconstructed and manifestly articulated. Myrdal argued that social scientists should disclose value premises and perform his analysis and normative judgement based on the value premises. And the value premises should be derived from the valuations held by the large or significant groups of the society under study, not from the researcher's own valuations. This paper tried to show that Myrdal's later viewpoint must meet the crux, that researcher's own viewpoint must intervene in choosing valuations of particular group among diverse groups in the society under stduy, and in deriving and reconstructing value premises from the valuations of that group. And it argued that the reason why Myrdal met the crux could be explained by that he accepted the emotivism of Axel $H{\ddot{a}}gersr{\ddot{o}}m$. And it proposed some methodological solutions for escaping the crux Myrdal met, while preserving the positive elements of Myrdals' viewpoint.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.797-801
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• 2009

In the proposed u-health service platform mobile u-health served an a series of process of bio data collection and storage and bio data analyses and results notice, and I interpreted it to a process. I became a design so as the service platform which supported health management system construction easily loaded service applied mobile u-health, and to be able to operate it in mobile environments, and took utility of a service platform and usability into consideration, and I got the crux of u-health use service.

• Journal of the Korean Professional Engineers Association
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• v.37 no.6
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• pp.29-36
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• 2004

Human being have destroyed environment through rapid industrialization, so that the world is increasingly faced with golbal environmental problem such as destruction of ozone layer, global warming., acid rain, decertification and we are heading toward impending disaster of the earth. Especially, recent environmental pollution of China from rapid economic development threatens neighboring Korea and Japan. Regional development are necessary for promotion of national prosperity, but theses regional developments must have brought about environmental and preservation. Actually there are so many conflict cases; Saemankum reclamation project, construction of nuclear waste storage facility, dam construction of China etc. Here, harmony and balance between development and preservation are needed to solve these great crux. Under theses condition, the concept of ESSD(Environmentally Sound and Sustainable Development) emerged as a global issue. And staring point to solve present environmental problems is to perceive the truth that we have inherited only one earth and hence owe a debt to preserve its environment for the benefit of the future generations.

• International Journal of Ocean System Engineering
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• v.2 no.1
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• pp.57-61
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• 2012

In this paper we use the Kohonen neural network based Self Organizing Map (SOM) algorithm for Urdu Character Recognition. Kohenen NN have more efficient in terms of performance as compare to other approaches. Classification is used to recognize hand written Urdu character. The number of possible unknown character is reducing by pre-classification with respect to subset of the total character set. So the proposed algorithm is attempt to group similar character. Members of pre-classified group are further analyzed using a statistical classifier for final recognition. A recognition rate of around 79.9% was achieved for the first choice and more than 98.5% for the top three choices. The result of this paper shows that the proposed Kohonen SOM algorithm yields promising output and feasible with other existing techniques.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.438-441
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• 2004

In this study, we introduce a noble neurogenetic approach to the design of fuzzy controller. The design procedure dwells on the use of Computational Intelligence (CI), namely genetic algorithms and Fuzzy-Set based Neural Networks (FSNN). The crux of the design methodology is based on the selection and determination of optimal values of the scaling factors of the fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out by using GAs, and then the development of a nonlinear mapping for the scaling factors is realized by using GA based FSNN. The developed approach is applied to a nonlinear system such as an inverted pendulum where we show the results of comprehensive numerical studies and carry out a detailed comparative analysis.

• Journal of Electrical Engineering and Technology
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• v.5 no.4
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• pp.653-665
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• 2010

In this study, we introduce a neurofuzzy approach to the design of fuzzy controllers. The development process exploits key technologies of Computational Intelligence (CI), namely, genetic algorithms (GA) and neurofuzzy networks. The crux of the design methodology deals with the selection and determination of optimal values of the scaling factors of fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out. Next, we form a nonlinear mapping for the scaling factors, which are realized by GA-based neurofuzzy networks by using a fuzzy set or fuzzy relation. The proposed approach is applied to control nonlinear systems like the inverted pendulum. Results of comprehensive numerical studies are presented through a detailed comparative analysis.

• International Journal of Control, Automation, and Systems
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• v.2 no.3
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• pp.362-373
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• 2004

In this study, we introduce a noble neurogenetic approach to the design of the fuzzy controller. The design procedure dwells on the use of Computational Intelligence (CI), namely genetic algorithms and neurofuzzy networks (NFN). The crux of the design methodology is based on the selection and determination of optimal values of the scaling factors of the fuzzy controllers, which are essential to the entire optimization process. First, tuning of the scaling factors of the fuzzy controller is carried out, and then the development of a nonlinear mapping for the scaling factors is realized by using GA based NFN. The developed approach is applied to an inverted pendulum nonlinear system where we show the results of comprehensive numerical studies and carry out a detailed comparative analysis.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.31-34
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• 2018

We live in the digital era, and the characteristics of our customers in the digital era are constantly changing. That's why understanding business requirements and converting them to technical requirements is essential, and you have to understand the data model behind the business layout. Moreover, BI(Business Intelligence) is at the crux of revolutionizing enterprise to minimize losses and maximize profits. In this paper, we have described a leading study about the situation of desk-top BI(software product & programming language) in aspect of front-end side and the Data Lake platform based on Big Data by data modeling in aspect of back-end side to support the business intelligence.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.80.2-80.2
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• 2021

Galactic young massive clusters are the ideal laboratories to study massive stellar evolution. Unfortunately, such objects are rare. Of particular interest are so-called Red Supergiant Clusters (RSGCs) that are currently only found toward the Scutum-Crux Galactic arm. Confirming their nature as RSGC is often not straight-fortward as distinguishing RSGs from AGB stars is still difficult even with high spectral resolution spectra. Here we report that broad band colors using 2MASS JHK and GAIA G band data can be useful in reducing the AGB contamination, thus providing selection criteria that effectively reveal the known RSGCs with negligible false positives. On the other hand, we suggest that RSGC4, one of the proposed RSGC candidates, may not be a cluster of RSGs as their colors are not compatible with our selection criteria. We discuss the nature of these stars together with our IGRINS spectroscopic observations. We also employ the same selection criteria to search for RSGC candidates in other parts of the plane, resulting in no prominent candidates.