• 발명특허
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• v.10 no.10 s.116
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• pp.48-49
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• 1985

• 베이커리
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• no.2 s.319
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• pp.144-144
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• 1995

• Journal of the military operations research society of Korea
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• v.33 no.2
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• pp.61-73
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• 2007

We examined technological forecasting of extended TFDEA(Technological Forecasting with Data Envelopment Analysis) and thereby apply the extended method to the technological forecasting problem of main battle tank. The TFDEA has the possibility of using comparatively inefficient DMUs(Decision Making Units) because it is based on DEA(Data Envelopment Analysis), which usually leads to multiple efficient DMUs. Therefore, TFDEA may result in incorrect technological forecasting. Instead of using the simple DEA, we incorporated the concept of Super-efficiency, Cross-efficiency, and CCCA(Constrained Canonical Correlation Analysis) into the TFDEA respectively, and applied each method to the case study of main battle tank using verifiable practical data sets. The comparative analysis shows that the use of CCCA with TFDEA results in very comparable prediction accuracies with respect to MAE(Mean Absolute Error), MSE(Mean Squared Error), and RMSE(Root Mean Squared Error) than using the concept of Super-efficiency and Cross-efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.615-621
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• 2016

The selection of a flagship industry is based on whether the industry's developmental impact is great and whether the industry can be the center of the national economy. Here, a ripple effect may be derived by analyzing the forward and backward linkage effects, but in the case of industries that are the centerpieces of the national economy, each researcher reported different results. Consequently, they could not agree on their flagship industry despite belonging to the same time. This study presents a prestige centrality of network analysis as a way of analyzing an industry, which was the center of the national economy, and performed empirical analysis utilizing the 2013 I-O Table. The analysis showed that the industries classified as those with high centrality include the energy industry, which is essential for economic development, can create a synergy effect with other industries, such as the transportation industry, industries with a high level of export and employment, such as electronics and chemicals, and industries for domestic demand, such as wholesale and retail, food services and accommodation.

• Bulletin of the Society of Naval Architects of Korea
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• v.41 no.2
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• pp.25-34
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• 2004

현재 우리나라는 1995년 국민소득 1만불 진입 이후 8년간 1만불 장벽을 넘지 못하고 있으며 그 동안 국가 성장동력의 바탕을 이룩해 온 기간산업 경쟁력의 둔화와 선진국과의 기술격차는 줄어들지 않는 한편 중국 등 후발국가의 추격이 거세지고 있는 상황에 있다. 이에 따라 내부적으로 미래에 대한 확고한 비젼 부재상태를 극복함과 동시에 1인당 국민소득 2만불 대의 선진경제로의 도약을 위한 "새로운 성장동력의 창출"이란 국가적 명제를 안게 되었다. 정부는 이를 위해 2003년 5월 말 주력 기간산업, 미래 유망사업, 지식기반 서비스산업 등 3개 분야에서 총 60개의 차세대 성장품목을 발굴하고 산업군별로 종합적인 발전전략을 수립하였으며 이 중 조선$.$해양산업은 주력 기간 산업군에서 고부가가치 선박, 디지털기반 조선컨텐츠, 해양부체 강구조물의 3개 항목이 이에 포함되었다. 이후 10대 차세대 성장동력 산업(표 1) 선정과정에서 조선$.$해양산업이 이에 명시적 포함되지는 않았으나 지능형 로봇분야와 e-Biz/지능형 물류에 부분적으로 연계되어 있고 산자부에서는 조선$.$해양산업을 포함한 10개 주력 기간산업별 기획단을 구성하여 차세대 성장동력 기획단과 함께 연구기획을 통하여 산업기술혁신 5개년 계획에 반영하는 것으로 알려져 있다[1]. (중략)다[1]. (중략)

• Journal of the Economic Geographical Society of Korea
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• v.20 no.1
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• pp.1-15
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• 2017

This paper analyzes empirically how the three main industries (petrochemical industry, shipbuilding industry, automobile industry) that are driving the growth of Ulsan region in 2005~2013 have grown by what factors. For this purpose, we investigate the structural changes of the three main industries by using regional input-output tables announced by the Bank of Korea and examine the growth contribution rate of each industry that is divided into domestic final demand, export demand, import substitution for final goods, import substitution for intermediate goods and technological change, respectively. The growth rate of gross output and aggregate demand in petrochemical and automobile industries increased in 2010-1013 compared to 2005-2010, but the growth rate of gross output and aggregate demand in shipbuilding industry slowed down. As a result of analysis of factors contributing to the increase in gross output of the three main industries, export demand has the greatest effect. By industry, the rate of growth contribution of export demand in petrochemical industry is recorded as 209.23% in 2005-2010 and 113.78% in 2010-2013, respectively. The rate of growth contribution of export demand in automobile industry is recorded as 258.72% in 2005-2010 and 72.69% in 2010-2013, respectively. On the other hand, the rate of growth contribution of export demand in shipbuilding industry is recorded as 94.47% in 2005-2010, but it decreased to -255.32% in 2010-2013. Analysis of growth factors of Ulsan's three main industries is expected to serve as the basis for reorganizing related industrial policies and establishing them.

• The monthly packaging world
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• s.72
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• pp.118-121
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• 1999

• The monthly packaging world
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• s.75
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• pp.138-141
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• 1999

• The monthly packaging world
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• s.75
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• pp.107-109
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• 1999

• The monthly packaging world
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• s.110
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• pp.128-131
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• 2002