• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.101-107
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• 2018

Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

• The Journal of Fisheries Business Administration
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• v.43 no.3
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• pp.75-87
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• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.984-990
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• 2017

The domestic cultural contents industry has been growing rapidly since the 2000s. The government has designated the cultural content industry as the next generation domestic growth industry. In order to cultivate this, various regulations are made and the budget is supported. Local governments are preparing various policies of cultural contents industry. This study presents the economic ripple effect by analyzing the status level and competence of the cultural contents industry in region based on LQ(location quotient) analysis and GAP analysis. Through this, this study will examine the competitiveness of the cultural content industry with high added value in Busan and draw out the plan for activation of cultural contents. Also, this study will compare competitiveness of Busan with other regions and show the economic contribution of Busan City.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.233-263
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• 2015

This study considers the improvement of R&D promotion program and its investment efficiency for regional industry. We find out some problems of R&D promotion program and suggest plans to improve investment efficiency of R&D through practical analysis of achievement. Since the 2000s, our country has implemented diverse policies for regional industry; R&D for regional industry has become a core part of business from the point of view of regional industry. As ever, these policies are highly supported for the purpose of securing industrial competitiveness by the central government and local governments. This study, through practical analysis of certain region (Jeonbuk), reviews some problems of R&D promotion program and suggests plans to enhance the achievements of a variety of policies, strategies, and projects. We perform practical analysis using three methods for three different aspects: shift-share analysis for each industry type, performance analysis for each investment type and characteristic analysis for each company type. Reviewing the results of practical analysis, we suggest some plans to promote the collaboration of main R&D support organizations and to minimize the doubleness caused sporadically by the central government and local governments. This research will be used effectively in setting up, implementing, and evaluating R&D investments for regional Industry.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.345-371
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• 2017

Traditionally, the construction industry field is one of the typical fields using facet analysis method. Internationally the facet analysis method is applied to the classification scheme "Uniclass" or thesaurus "Construction Industry Thesaurus(CIT)". In the case of Korea, the facet analysis method is being used in classification scheme "Construction Industry Classification System" but it is difficult to find studies on facet analysis method in thesaurus or building case study. This study aims to establish facet types by introducing building of thesaurus for information retrieval in construction field using facet analysis method and to suggest building plan of thesaurus in construction field using facet analysis method. In this paper, We establish the 11 top facets(agent/patient, artifacts, abstract, material, parts/component, works, attribute, media, process, space, time) and the 13 subfacet as rudimental facets and suggest building plan according to thesaurus building procedure which is suggested by International Standard(ISO 25964-1). The result of this study is expected to apply to facet based thesaurus. And it is also expected to reuse in Taxonomy or Ontology etc. and to use in interoperability with the classification scheme of Construction filed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.239-244
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• 2009

Digital Music Industry of Korea has had its dominance over existing Record-based Music Industry since the year 2000 influencing the entire music industry. This implies the perspective for this emerging field by defining various factors based on environmental analysis. SWOT analysis, mostly used for setting up the marketing strategy is very useful analytic tool for this manner. The potentials and possibilities were saught for this emerging Digital Music Industry to have connectivity with other Media and Entertainment Industry, focusing on its strength, weakness, opportunities and threats, four variables of SWOT analysis.

• Spatial Information Research
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• v.20 no.6
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• pp.69-76
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• 2012

In this study, we derived the characteristics of the geo-spatial information industry by using input-output analysis. For this analysis, we classified the geo-spatial information industry and reorganized the input-output table. And we derived the production inducement coefficient, index of the power of dispersion and index of the sensitivity of dispersion in the geo-spatial information industry. We confirmed that geo-spatial information industry has a small production inducement coefficient and a great forward linkage effect. Based on these facts, we suggested the strategy direction as follows: 1) building the industrial eco-system, 2) managing both advance and applicability enhancement, 3) Establishing from a long-term point of view.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.611-612
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• 2006

Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.270-275
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• 2024

Introduction. In this study, purpose is to analize the types of golf tourism, inbound or outbound, by using big data and see how movement of industry is being changed and what changes have been made during and after Covid-19 in golf industry. Method Using Textom, a big data analysis tool, "golf tourism" and "Covid-19" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 1 st January, 2023 to 31st December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "golf tourism" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, top 36 keywords with the highest relevance and search frequency were selected and applied to this study. The top 36 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. Results By using big data analysis, it was found out option of oversea golf tourism is affecting on inbound golf travel. "Golf", "Tourism", "Vietnam", "Thailand" showed high frequencies, which proves that oversea golf tour is now the re-coming trends.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.247-255
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• 2010

The media industry is becoming more important around the world and there are changes over this industry. Therefore this is the time that the economic impacts is needed about media industry. This study attempts to examine the economic impacts of the media industry using an inter-industry analysis. Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the media industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the media industry by using supply-driven model and Leontief price model. The results of this analyses are presented; 0.5461 won in production-inducing effect, 0.3143 won in value added inducing effect when 1 won is produced by media industry, 5.0459 persons in employ-inducing effect when 1 billion won is produced, 1 won of supply shortage in this industry results 0.7353 won in supply shortage effect which affect the other industries. Sectoral price effect is 0.2389% due to the 10% increase of price.