• Cartoon and Animation Studies
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• s.16
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• pp.125-140
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• 2009

In the1970's, Korean movie industry was down because of widely supplied Television. During the time, directed by Kim Cheong-ki was Big hit at the box-office that is bring Korean feature animation industry back to life. In 80's, when new military regime started, SF animation was prohibited to be on air by government because that assumed have bad influences on children, and korean animation industry was faced with recession, such as various imported foreign animations which were on color TV and wildly provided video recorders. At that time, director KIM Cheong-ki try to overcome the recession of animation industry by producing, < David and Goliath>, which was based on the Bible. The Bible, was based on the historical facts and had written by the time flow, that made few changes while it was transformed to a feature animation. Animation does not only reproduce the reality as it is, but also analyzing the story to create a new reliable world, by changing characters, creating new supporting characters, and expanding and reducing of narrative. Despite of such an effort, didn't achieve it's goal at the box office and not satisfied audience either because it was excessive reproduction of the Bible, not standing on the basis of those days social and cultural environment and popularity. This study is aimed at confirming changed narrative shown Kim Cheong-Ki's, and compare it with two other animated, directed by others, so that suggest the new direction of the religious feature animation production.

• Digital Contents
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• no.6 s.97
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• pp.38-42
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• 2001

웹캐스팅 산업에 대한 대규모 자금유입도 가시화 되고 있고, 주요 대기업과 공중파를 비롯한 기존의 주요 미디어기업들이 상당수 웹캐스팅 시장에 접근하고 있다. 이제 다윗들이 일궈놓은 국내 웹캐스팅 산업에 골리앗이 본격 진입하게 되는 것이다. 국내 웹캐스팅 비즈니스는 2000년도를 기점으로 다윗과 골리앗이 웹캐스팅 사업에 본격적인 진출을 하기에 이르렀다. 대기업은 자본력과 마케팅, 브랜드 효과 등의 긍정적인 배경을 통해 시장진출에 유리한 입지를 점하게 될 것이며, 향후 웹캐스팅 시장의 확대에 유리한 입지를 점하게 될 것이며, 향후 웹캐스팅 시장의 확대에 큰 기여를 하게 될 것이다.

• Digital Contents
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• no.4 s.155
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• pp.15-15
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• 2006

• The Korean Publising Journal, Monthly
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• s.294
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• pp.28-29
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• 2001

• Venture DIGEST
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• s.106
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• pp.32-33
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• 2007

• The Science & Technology
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• no.11 s.414
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• pp.106-108
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• 2003

• 한국산학경영학회:학술대회논문집
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• 2005.11a
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• pp.13-25
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• 2005

기업의 신용평가는 기업의 위험도를 측정하여 어음, 사채 및 대출금 등의 회수 가능성을 평가하는 것이다. 이러한 기업의 신용평가 결과는 해당 기업의 채권 수익률이나 주가 등에 영향을 미치고, 또한 금융기관, 투자자 및 거래처 등이 대출 결정, 투자 결정, 신용판매 등의 의사결정을 내리는데 영향을 미친다. 본 논문에서는 보다 정확한 기업 신용 평가를 위해 다집단 분류 문제를 이집단 분류 문제화하는 신경망 분리 모형을 제안한다. 또한, 본 논문에서 제안한 신경망 분리 모형의 우수성을 검증하기 위해 기존의 일반적인 신경회로망, 판별분석 모형과 비교한다. 실험 결과 신경회로망을 분리시켜 학습을 단순화시키는 방법이 기존의 방법에 비해 우수한 결과를 보였다.

• The Science & Technology
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• v.21 no.12 s.235
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• pp.60-67
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• 1988

31년 전 창업한 디지틀 이큅먼트사(DEC)는 연간 매출고 1백억 달러에 이익 10억 달러를 올리는 컴퓨터계의 제2인자가 되었다. DEC는 IBM에 비해 규모는 6분의 1에 지나지 않지만 지난 20년대 이 '정보산업의 거인'IBM의 가장 두려운 도전자의 자리를 지켜왔다. 그래서 업계에서는 DEC를 골리앗IBM에 대항하는 '다윗'으로 비유하고 있다. DEC의 매출고는 1984년이래 중형 컴퓨터인 백스 미니컴퓨터의 큰 성공에 힘입어 불과 4년간에 2배로 급증했다. 대당 1만 5천 달러에서 70만 달러의 이 중형 컴퓨터시장에서 DEC의 시장점유율은 1984년의 19%에서 현재 25%으로 뛰어올랐으나 IBM은 24%에서 16%로 오히려 줄어들었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.109-113
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• 2016

In this paper, we propose efficient LED lighting control algorithm using a David star magic square. Such algorithms increases the power reduction, the heat efficiency and LED life cycle and the efficiency of the LED lighting control consumption. Lighting system using existing Magic square algorithm could be reduced to increase the heat efficiency of the LED because the LED lighting time of the reduced cross-lighting. but it has a limit to the lighting control. If should apply the this proposed algorithm, can reduces power consumption and increases LED life-cycle, heat efficiency of LED lighting module and efficiency of the lighting control of the LED. This paper proposed that algorithm is by using a David star magic square on the LED Matrix. Divided into twelve areas to move the pattern in constant time interval, to perform the cross rotation and inversion techniques to thereby light up. In this paper proposed algorithm of this paper was compared with existing Magic square approach. As a result, power consumption and heat-value and luminous flux was reduced as the conventional lighting system. And, the LED lighting control increase the efficiency.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.151-168
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• 2007

The corporate credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this study, the corporate credit rating model employs artificial intelligence methods including Neural Network (NN) and Case-Based Reasoning (CBR). At first we suggest three classification models, as partitioned neural networks, all of which convert multi-group classification problems into two group classification ones: Ordinal Pairwise Partitioning (OPP) model, binary classification model and simple classification model. The experimental results show that the partitioned NN outperformed the conventional NN. In addition, we put to use CBR that is widely used recently as a problem-solving and learning tool both in academic and business areas. With an advantage of the easiness in model design compared to a NN model, the CBR model proves itself to have good classification capability through the highest hit ratio in the corporate credit rating.