• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.1
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• pp.146-157
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• 2007

Fishing villages have rich potential on account of serving as a base of fishing activities with various maritime ecosystem, culture and maritime resources as well. The object of the study is ports located in Gijang, Busan and it presents the overall development direction in ports within this area. Through systematic and well-planned developing small-sized ports, this research analyzes regional economic implications by improving settlement conditions for fishing villagers scattered around this area taking the ports' natural traits into consideration. The research correlates regional input output analysis by fishing port arrangement project with connection between inter-industries and inter-regions according to the model of input-output analysis and attempts to systematically analyze regional economic structure with the economic implication divided into production, employment and income, influenced upon by the change of political exogenous variable.

• Electronics and Telecommunications Trends
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• v.19 no.2 s.86
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• pp.9-17
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• 2004

지속적인 경제성장을 위한 기술정책방향은 다음과 같은 두 가지 경제적 환경변화를 고려해야 한다. 첫째, 신기술을 중심으로 하는 새로운 차세대성장산업을 창조함으로써, 지속적으로 우리나라 경제성장을 견인하는 “신기술중심의 경제성장정책기조”이다. 둘째, 신무역질서에서 우리나라 경제를 안정화시켜야 하는 정책기조와, 더 나아가 세계경제발전에 기여하는 “세계경제질서에서 대한민국경제위상확보정책기조”이다. 본 논고에서는 신기술발전과 신무역질서라는 연관관계에서 어떤 신성장 기술정책방향이 바람직한 것인지 알아보자. 이 연관분석을 위하여 우리나라 주요 교역국가를 중심으로 우리나라 신기술발전이 다른 무역대상국가에 어떤 경제적 영향을 미치며, 다른 주요 교역국가인 미국과 일본의 기술발전이 우리나라에 어떤 경제적 영향을 미치는지를 정량적으로 분석하였다. 본 연구결과를 바탕으로 간단한 국제무역환경을 고려한 기술정책방향에 대하여 제언하였다.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.314-334
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• 2008

This study aims to analyze the economic impact of IT industries to the Korean economy using IO tables from 1980 to 2003. As a result for the comparison with the economic impacts subject to 9 major industries, an importance of IT industries in Korean economy is likely to have increased very rapidly since 1980. And we also found that the production effect and spillover effect of Korean IT industry has steadily reduced whereas its price effect is still large.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.33-43
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• 2012

Semantic web is utilized to construct advanced information service by using semantic relationships between entities. Text mining can be applied to generate semantic relationships from unstructured data resources. In this study, ontology schema guideline, ontology instance generation, disambiguation of same name by text mining and advanced historical people finding service by reasoning have been proposed. Various relationships between historical event, organization, people, which are created by domain experts, are linked to literatures of National Institute of Korean History (NIKH). It improves the effectiveness of user access and proposes advanced people finding service based on relationships. In order to distinguish between people with the same name, we compares the structure and edge, nodes of personal social network. To provide additional information, external resources including thesaurus and web are linked to all of internal related resources as well.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.443-449
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• 2014

Preferences of users on movies are observables of various factors that are related with user attributes and movie features. For movie recommendation, analysis methods for relation among users, movies, and preference patterns are mandatory. As a relational analysis tool, we focus on the Infinite Relational Model (IRM) which was introduced as a tool for multiple concept search. We show that IRM-based co-clustering on preference patterns and movie descriptors can be used as the first tool for movie recommender methods, especially content-based filtering approaches. By introducing a set of well-defined tag sets for movies and doing three-way co-clustering on a movie-rating matrix and a movie-tag matrix, we discovered various explainable relations among users and movies. We suggest various usages of IRM-based co-clustering, espcially, for incremental and dynamic recommender systems.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.79-81
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• 2005

산업이 발전함에 따라 지적재산권에 대한 가치는 점정 중요해지고 있고, 기업의 흥망성쇄를 결정짓는 가장 큰 요인중 하나로 자리잡고 있다. 엄청난 비용을 투자하여 사업화하고 있던 세계 굴지의 기업들도 경쟁회사의 핵심특허 단 몇 건만으로 순식간에 몰락하는 경우도 발생하고 있다. 이제 지적재산권은 살아남기 위한 유일한 방어수단이자 공격수단이 되었다. 이와 같은 급박한 상황하에서 각 기업은 경쟁회사의 지적재산권을 분석하고, 이를 통해 자사의 연구개발 전략을 수립하기 위해 노력하고 있다. 그러나 이와 같은 분석작업은 다수의 전문가 일지라도 상당한 시일이 소요되는 방대한 작업이며, 이를 자동으로 실행하기 위해 많은 소프트웨어 회사들은 Clinent base 특허분석용 툴과 Web base site를 개발하여 서비스를 하고 있다. 그러나 이들 종래의 특허분석용 툴과 Web site들은 특허에대한 정량분석 정보와 정성분석 정보를 제공하지만 해당 특허가 기술분야에서 얼마나 영향력을 미치는 객관적으로 제시를 하지 못하고 있다. 본 논문에서는 개술 개발시 해당 분야의 특허 기술의 흐름을 빠르게 파악하고 동 기술 분야에서 영향력이 있는 특허의 랭킹을 제시하여 기술 개발시의 위험성을 줄이고자 하는데 그 목적이 있다. 이에 특허 출원시 인용했던 선행특허들의 인용 관계를 분석하여 특허간 연관관계를 규명하고, 각 기술 분야에서 영향력이 높은 특허를 찾는 방법과 시스템을 제시하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.67-72
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• 2021

Association rule mining is a method of showing the relationship between patterns hidden in several tables. These days, granulation logic is used to add more detailed meaning to association rule mining. In addition, unlike the existing system that recommends using existing data, the granulation related rules can also recommend new subscribers or new products. Therefore, determining the qualitative size of the granulation of the association rule determines the performance of the recommendation system. In this paper, we propose a granulation method for subscribers and movie data using fuzzy logic and Shannon entropy concepts in order to understand the relationship to the movie evaluated by the viewers. The research is composed of two stages: 1) Identifying the size of granulation of data, which plays a decisive role in the implications of the association rules between viewers and movies; 2) Mining the association rules between viewers and movies using these granulations. We preprocessed Netflix's MovieLens data. The results of meanings of association rules and accuracy of recommendation are suggested with managerial implications in conclusion section.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.53-57
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• 2010

현재 많은 포털 사이트에서는 인기가 있거나 중요도가 높은 키워드에 대해 정보를 제공해주는 태그 클라우드나 연관 검색어 등의 기능이 제공되고 있다. 하지만 대부분의 뉴스기사 페이지들은 날짜와 분야별로 기사들이 나열되어 있으며 사용자는 카테고리별로 나누어진 기사를 읽을 수만 있을 뿐 그 기사와 연관된 다른 기사의 정보에 대해서 한눈에 알아 볼 수 있는 방법은 미흡한 실정이다. 또한 연관 검색어 서비스도 사용자가 검색한 입력 내용을 기반으로 연관성 정도를 분석하여 객관성을 보장하지 못하고 있다. 본 논문에서는 기존의 태그 클라우드 방식에서 좀 더 나아가 축적된 뉴스 기사로 부터 검색 키워드와 밀접히 연관된 키워드를 추출하여 제공하는 기사 검색 시스템을 소개한다. 이 시스템은 사용자가 기사 검색을 하였을 때, 키워드와 가장 밀접한 기사를 검색해 주는 것뿐만 아니라 검색어와 관련된 연관 키워드들을 보여주고 연관된 키워드간의 관계성을 보여줌으로써 뉴스 기사들 속에 숨겨진 연관정보의 탐색을 가능하게 한다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.4 s.304
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• pp.25-34
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• 2005

We had research to conduct interrelationships between sensors using postprocessing analysis with the Fuzzy-Kalman Filtering Auto-Correlation about Real Time Simulator data of the NaroSC LCS in case of a fully blind situation scenario. The conducted interrelations are same harmony with relations in scenario. We had analyzed signals of sensors reverse-using a optimization character of Fuzzy-Kalman Filter. As our research conclusion, We had recognized possibilities of signal processing about the KSLV-1, on-board payloads, general equipments of ground support which apply to multi sensor systems.

• Journal of the Korean Society for Railway
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• v.11 no.4
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• pp.410-416
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• 2008

The inter-industrial inducement effects of the korean railway services on the output, value-added, imports of the 403 industrial sectors of the korean economy have been computed by the input-output analysis technique utilizing the 2003 Input-Output Tables, which was published most recently in April 2007 by the Bank of Korea. The korean railway service industry produced \2,766 billion worth of passenger and freight railroad services in the 2003 year, and it has induced \1,701 billion worth of output, \781 billion worth of value-added, and \580 billion worth of imports of the korean industry as a whole. The energy sector industries such as diesel fuel, thermal power generation, nuclear power generation, crude oil, liquid natural gas, bituminous coal, liquid propane gas have been most affected by the korean railway services. Other industries mainly affected by the korean railway services include railroad car manufacturing, cleaning and decontamination, medical and health service, machinery equipment and rental, construction and maintenance, transportation related services, business R&D, property insurance, and telecommunication.