• 한국빅데이터학회지
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• 제4권2호
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• pp.93-103
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• 2019

본 논문에서는 수산과학 R&D 정보의 빅데이터 플랫폼 구축과 메타 데이터 관리기법에 관해 소개한다. 빅데이터 플랫폼에서는 다양한 유형의 수산과학 R&D 정보를 수집하여 통합 연계하고, 이를 데이터 레이크 형태로 구축하는 방안을 제시한다. 수산과학 분야에서 수집, 축적되고 있는 기존의 데이터와 함께 위성영상 데이터, 연구보고서 등 비정형 빅데이터까지 수집하여 다양한 분석을 지원하는 빅데이터 플랫폼의 구축방안을 제시한다. 다음으로 데이터 추출과 전처리 및 저장 과정에서 메타 데이터를 수집하고 관리함으로써 수산과학 빅데이터의 체계적인 관리가 가능하도록 한다. 빅데이터 플랫폼 구축과 함께 메타 데이터를 표준양식으로 구축함으로써 데이터의 수집, 저장, 활용 및 유통 등 데이터 수명주기 전반에 걸쳐 체계적이고도 지속적인 빅데이터 관리 방안을 제시하는데 의의가 있다.

• 대한수학회지
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• 제55권5호
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• pp.1177-1178
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• 2018

• Ocean and Polar Research
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• 제44권2호
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• pp.113-126
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• 2022

This study was carried out to investigate the benthic polychaetous community and benthic ecosystem quality status on the adjacent continental shelf of Jeju Island, and field surveys were conducted at 31 stations in July and August, 2020. The surface sediment was generally composed of muddy sand facies and sandy mud facies, and the average particle size was medium silt (6.1±1.6∅). The benthic polychaetous community revealed a total of 73 species with a mean density of 242 ind./m². The major dominant species were Notomastus latericeus, Ampharete arctica and Onuphis shirikishinaiensis. By the cluster analysis and nMDS results based on species composition of the benthic polychaetous community, the study area was divided into three station groups arranged from east to west by the water depth and sedimentary facies. The station group located in the west was subdivided into two station groups from south to north. From results of correlation analysis and PCA, it was found that the benthic polychaetous community in the study area had a strong correlation with the sedimentary environment and water depth. The benthic faunal community (or ecosystem) on the adjacent continental shelf of Jeju Island was assessed to be in a healthy state by biotic indices such as AMBI and BPI.

• Journal of the Korean Data and Information Science Society
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• 제19권4호
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• pp.1037-1046
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• 2008

Recently, the oil suppliers who supply the tax-exempt oil to the fishery are confronted with big trouble in their supply and demand system due to the unstable global oil prices. We applied the seasonal ARIMA(SARIMA) model to the low-sulfur and high-sulfur crude oil which are in great request and developed forecasting systems for them. Since there are many parameters in SARIMA, it is difficult to estimate the optimal parameters, but it is overcome by using simulation looping program. In conclusion, we found that the obvious seasonality in demand of low-sulfur and these demands are tending downwards gradually.

• 유통과학연구
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• 제13권7호
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• pp.53-61
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• 2015

Purpose - This research analyzes overseas expansion support systems for small- and medium-sized enterprises in Germany and Japan. Germany and Japan have developed overseas expansion support policies for such enterprises. The study then explores the implications for Korea and its local governments. Research design, data, and methodology - We did a comparative analysis of Japan and Germany and their support for overseas expansion of small and medium companies. Data were mainly collected from the Ministry of Economy, Trade and Industry (Japan) and the Germany Trade and Invest (Germany) agency through statistics and literature surveys, and analysis studies. Results - First, human resources cultivation and funding support policies, which both Germany and Japan use as part of small- and medium-sized enterprise policies, should be modified to Korean circumstances and to reflect its own small- and medium-sized enterprise support needs. Second, both the German policies that support overseas expansion of small- and medium-sized enterprises and those of Japan's include the philosophy and methods that put an emphasis on these enterprises, despite the fact that there are big differences in the overseas policies in these two countries. Third, German and Japanese governments are embracing the idea that small- and medium-sized enterprises are key to their national economies and implementing policies based on the ratio occupied by these enterprises in the domestic consumption or GDP. In other words, Germany and Japan consider small- and medium-sized enterprises as central to their nation's industry, and assess them as economic industry that should definitely exist for the continued survival of big businesses, and not just as merely supplemental to big business. Fourth, whereas Germany emphasizes support to product exhibition in its overseas expansion support policies, Japan is providing integrated support containing foreign direct investment to small- and medium-sized enterprises. Fifth, there are differences in the overseas expansion support in Germany and Japan in terms of their support to big business. Whereas Germany considers support to big business unnecessary, Japan is implementing active support policies to areas corresponding to big business. Korea will have to benchmark the policies of Germany and Japan, and decide whether or not to give full support to small- and medium-sized enterprises, while excluding areas supporting big business. Conclusions - Based on this analysis of German and Japanese overseas expansion support policies, we need to choose the policies that will engender a solid outcome and derive modified policies for the circumstances of Korea. Additionally, we can use the comparison of the overseas support policies of Japan and Germany to choose small- and medium-sized enterprise overseas expansion support policies for Korea. However, we cannot provide specific overseas support policies by industry. This point will be referenced as a limitation of this study. In future research, we expect that some researchers will take an empirical approach to exploring Korean overseas expansion support through collecting cases of overseas support policies and interviewing policy authorities.

• Journal of the Korean Data and Information Science Society
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• 제20권3호
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• pp.551-562
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• 2009

수협의 어선조업정보는 국가 공식 통계가 가지고 있지 못한 위치별 조업정보를 가지고 있다는 장점이 있다. 위치별 조업정보는 해당 지역의 어업피해보상, 자원가치 산출 등을 추정할 수 있어 국가통계자료로의 가치가 매우 높으나 어업인들의 자기 정보의 노출에 대한 기피로 인해 신뢰성이 떨어지는 단점을 지니고 있다. 본 연구는 유용성분석을 통해 이러한 수협의 어선조업정보의 활용을 위한 방안을 제시하고 위치별 조업패턴의 특성을 분류하여 해구별 유사성의 정보를 산출을 목적으로 하였다. 분석결과 수협의 어선조업정보는 정부 생산통계대비 어획량의 약 33% 수준이나 유용성 분석에서 그 패턴과 상관관계가 밀접해 위치별 패턴파악에 유용한 것으로 나타났다. 이를 바탕으로 대해구별 2단계 군집분석을 통해 어획량, 조업일수, 조업척수에 대해 각각 최적의 군집을 구분하고 이를 종합하여 8개의 군집으로 패턴을 구분하였다.

• 산업경영시스템학회지
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• 제45권4호
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• pp.199-209
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• 2022

As the uncertainty of technology development and market needs increases due to changes in the global business environment, the interest and demand for R&D activities of individual companies are increasing. To respond to these environmental changes, technology commercialization players are paying great attention to enhancing the qualitative competitiveness of R&D. In particular, R&D companies in the marine and fishery sector face many difficulties compared to other industries. For example, the R&D environment is barren, it is challenging to secure R&D human resources, and it is facing a somewhat more difficult environment compared to other sectors, such as the difficulty in maintaining R&D continuity due to the turnover rate of researchers. In this study, based on the empirical data and patent status of private companies closely related to the R&D technology status, big data analysis, and simulation analysis methods were used to identify the relative position of individual companies' R&D capabilities and industrial perspectives. In this study, based on industrial evidence and patent applications closely related to the R&D technology status, the R&D capabilities of individual companies were evaluated using extensive data analysis and simulation analysis methods, and a statistical test was performed to analyze if there were differences in capabilities from an industrial point of view. At this time, the industries to be analyzed were based on all sectors, the maritime industry, the fisheries industry, and the maritime industry integration sector. In conclusion, it was analyzed that there was a certain level of difference in the R&D capabilities of individual companies in each industry sector, Therefore when developing a future R&D capability system, it was confirmed that it was necessary to separate the population for each industry and establish a strategy.