• Journal of Information Management
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• v.41 no.3
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• pp.191-209
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• 2010

A reference linking service that is connection of each other different information resource need to setup the reference database and to match identifier. CrossRef, PubMed and Web Of Science etc. the many overseas agencies developed reference linking service, that they used the automatic tools of Inera eXstyles, Parity Computings Reference Extractor etc. and setup in base DOI and PMID etc. Domestic the various agencies of KISTI(Korea Institute Science and Technology of Information), KRF(Korea Research Foundation) etc are construction reference database. But each research communities adopts a various reference bibliography writing format. As, the data base construction which is collect is confronting is many to being difficult. In this paper, We developed the Citation Matcher System. This system is automatic parsing the reference string to metadata and matching DOI, PMID and KOI as Identifier. It is improved the effectiveness of reference database setup.

• Journal of Advanced Navigation Technology
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• v.16 no.1
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• pp.116-121
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• 2012

This research aimed an application method to connect traditional culture and information technology that is one of the digital convergence area. For this purpose, we proposed cloud digital archive framework for traditional culture. Actually, cloud computing environment is one of new technology trend and would be a important keyword for information technology. This research focus on functional framework that is able to support service in cloud computing environment to connect pansori archive model, one of traditional culture. We also make a data structure and metadata by each characteristics, and insert a service framework to support pansori archive. This structure consists of data evaluation, preservation, and access process. This archive has a relation model with digital archive and metadata.

• Electronics and Telecommunications Trends
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• v.28 no.4
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• pp.1-9
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• 2013

세계적으로 에너지 요구량이 날로 증가함에 따라, 새로운 오일과 가스에 대한 탐사, 개발 및 생산에 필요한 기술들이 도전적인 과제로 부상하고 있다. 반면, 오일과 가스 분야와 관련된 규제는 더욱 강화되고 있어 기존의 경험이 많은 인력에 의존하는 방식만으로 문제를 해결하기는 쉽지 않다. 따라서, 주요 오일 및 가스 메이저 업체들은 IT를 기존 업무 프로세스와 연계하여 오일 탐사시간 단축, 생산성 향상 및 높은 수준의 안전성을 제공할 수 있는 디지털 오일필드(Digital Oil Field) 구축을 위한 통합운영(IO: Integrated Operations) 시스템을 활용해 나가고 있다. 특히, 최근 오일 및 가스 산업 프로세스의 데이터 집약적인 특성을 반영하여 빅데이터 분석기반의 IT 융합 기술을 적극적으로 도입을 시도하고 있다. 따라서 본고는 디지털 오일필드의 요소 기술과 빅데이터 분석기반 IT 융합 기술 동향에 대해서 살펴본다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.798-805
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• 2015

본 연구는 국가과학기술지식정보서비스(NTIS) 데이터베이스에 등록된 국내 국가연구개발(R&D)사업 중에 플라즈마 기술 관련 Raw-data를 분석하여 플라즈마 기술 분야에 대한 정부 부처별, 연구수행주체별, 연구개발단계별 등 국내 산학연 전반에 투입된 연구개발(R&D) 예산을 조사 및 분석하였다. 특히, 2012~2014년을 기준으로 플라즈마 기술 관련 연구수행주체(정부부처, 국공립연구소, 출연(연), 대학, 대기업, 중소기업, 중견기업) 각각에 대해 연구 관심 분야 및 핵심기술을 알 수 있는 척도인 연구개발단계(기초, 응용, 개발)와 과학기술표준분류체계 등을 포함한 상호 연계성을 식별 가능한 네트워크로 가시화하였다. 이에 본 논문은 NTIS 데이터 기반 다양한 관점의 시사점을 플라즈마 기술 활성화 전략 수립 사례에 적용함으로써 사전기획 강화를 위한 데이터 분석 방법을 제안한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.136-145
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• 2006

SWAT includes a lot of parameters related with geography, hydrological time series, land management and water pollution, etc. So, it needs many spatial, non-spatial and time series data to run SWAT. If SWAT is operated in conjunction with GIS, we can use database which includes model input data and do all the processes which covers data creation, model input and analysis of simulation results in a system. The objective of this study is to develop HyGIS-SWAT which is the interface system to couple the SWAT model and HyGIS. To achieve this object, system operation process based on HyGIS-SWAT data model is evaluated and databases are designed and established. As a result, HyGIS-SWAT prototype system is developed. HyGIS data model and HyGIS-Model operation process can be applied effectively to the development of HyGIS-SWAT. The technologies from this study can be used as base technology to develop another HyGIS application which connect HyGIS with models.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.94-95
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• 2022

선박 운항 안전 확보를 위해 필요한 선박과 선박, 선박과 육상 및 기타 해양 안전 관련 주체와의 통신은 자율/무인 선박의 출현 및 유무인 선박이 혼재 운항하는 과도기적 상황에서 기존 VHF, AIS 등의 통신 기능을 능가하는 고용량, 고신뢰 선박 중심 직접통신 체계를 요구한다. IMO의 자율운항 선박 자율화 단계에 필요한 원격에서의 모니터링 및 제어 필요성(Ship to Shore), 나아가 완전한 자율운항을 위한 고용량의 선박중심통신(Ship to Ship) 및 해양 객체와의 통신(Ship to Shore, Air, People)이 구현되어야 유무인 선박의 혼재 운항 과도기를 거쳐 완전한 자율운항 시대로 나아갈 수 있다는 점에서 이를 포괄하는 S2X(Ship to Everything) 통신 기술의 개발 당위성을 찾을 수 있다. S2X 통신은 정보 교환 상대를 신뢰할 수 있고 이를 기반으로 선박의 안전 운항 관련 정보를 상호 교환하고 부가 서비스를 위한 고용량의 데이터를 자유롭게 교환할 수 있도록 하는 선박중심직접통신 기술이 될 것이다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.107-108
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• 2021

4차 산업혁명으로 시작된 해상물류 부분의 스마트 기술 도입은 무인 자동화 항만에 이어 데이터 기반과 인공지능(AI) 등의 최적화를 통한 생산성과 효율성을 높이는 방향으로 진행되고 있다. 이에 우리는 다양한 최신 IT 기술을 사용하여 기존 해양물류 프로세스를 최적화할 수 있는 해양물류 통합플랫폼을 설계하고자 한다. 제안하는 시스템은 해양 물류 주체들간의 원할한 데이터 전송 및 연계를 지원하여 기존 단절된 구간을 연계하는 최적의 물류 프로세스를 생성할 수 있다. 또한 사용자가 손쉽게 물류 프로세스를 생성할 수 있는 기능을 제공하여 사용자 맞춤형 물류 프로세스를 통해 효율적인 해양물류 프로세스 운영이 가능하다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.134-137
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• 2021

This study aims to develop a digital twin and big data-based port infrastructure control system that reflects smart maintenance technology. It is a technology that can evaluate aging and disaster risk by converting heterogeneous data such as sensing data and image data acquired from port infrastructure into big data, visualized in a digital twin-based control system, and comprehensively analyzed. The meaning of big data to express the physical world and processes by combining data, which are the core components of the virtual world, and the matters to be reflected in each stage of securing, processing, storing, analyzing and utilizing necessary big data, and we would like to define methods for linking with IT resources.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.101-115
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• 2020

In this paper, big data analysis method was used to find out global trends in autonomous driving and to derive activate spatial information services. The applied big data was used in conjunction with news articles and patent document in order to analysis trend in news article and patents document data in spatial information. In this paper, big data was created and key words were extracted by using LDA (Latent Dirichlet Allocation) based on the topic model in major news on autonomous driving. In addition, Analysis of spatial information and connectivity, global technology trend analysis, and trend analysis and prediction in the spatial information field were conducted by using WordNet applied based on key words of patent information. This paper was proposed a big data analysis method for predicting a trend and future through the analysis of the connection between the autonomous driving field and spatial information. In future, as a global trend of spatial information in autonomous driving, platform alliances, business partnerships, mergers and acquisitions, joint venture establishment, standardization and technology development were derived through big data analysis.

• Journal of Korea Technology Innovation Society
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• v.11 no.1
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• pp.91-117
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• 2008

The relationships between science, technology, and industry are very complicated and vary according to time. Thus, it would be almost impossible to combine the three categories in a single model. However, the linking of science, technology, and industry, which are divided according to their respective classification standards, is a starting point from which to understand how science and technology, technology and industry, and further science, technology, and industry are related to each other. Studies have been carried out to analyze the relationship between science and technology and between technology and industry, whereas no study has been undertaken to get an overall view of science, technology, and industry. Since an appropriate methodology or an analytical model has not been suggested, this paper proposes a model for generally analyzing science, technology, and industry. More specifically, this paper examines the methodology for linking science, technology, and industry. This paper uses citation analysis to analyze knowledge flow such as absorption and utilization of given knowledge, looks at the provision of knowledge to create new knowledge, and examines the use of network analysis to analyze the complicated phenomenon of knowledge flow. This paper proposes an empirical study of trend analysis of technological innovation by looking into a linkage structure of knowledge flow among science, technology, and industry based on the classification linkage and analysis methodology using scientific paper and patents.