• Spatial Information Research
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• v.16 no.1
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• pp.101-112
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• 2008

This study aims to show why we have to introduce SOA paradigm in the Cadastral Information System for coping with domestic and foreign IT environments flexibly and strengthening inner capability. We search the trend of up-to-date IT paradigm such as Enterprise GIS, SOA and etc. from this, we worked out the concept of Cadastral Information System. we also could see the introduction case of the domestic and foreign next generation Cadastral Information System, there is implications for us. also, we analysis the general condition about information system which KCSC(Korea Cadastral Survey Corporation) own in a general way and estimate the SOA level degree for each information system. and on that base, we set up SOA loadmap for implementation the next generation of Cadastral Information Service. This is an important step for building ideal future information systems which KCSC hope to be. For realizing this, we focus our inner capability on integration without duplicate and re-using the inner information infra.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.1
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• pp.73-97
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• 2018

The study is to make a development initiative for humanities and social assets one-stop portal services intended for researchers, thereby establishing long-term road map for Korean Research Memory(KRM) in National Research Foundation of Korea(NRF). The empirical studies conducted for this purpose are as follows: SWOT analysis of KRM's internal and external environment; Usability test for 90 graduate students; Focus group interview for 8 experts. The results of the studies are as follows. First, KRM needs to focus on the sustainability of information provision as well as the integration of research provision. Second, KRM needs to establish the strategy of acquisition for R&D products in quality. Third, KRM needs to be the hub of humanities and social assets and social network platform for researchers. Forth, KRM needs to develop education service for lay users as well as research services for professional researchers.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.88-112
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• 2009

This study attempts to define IT high-level human resources and to investigate past IT high-level human resources development (HRD) policies in order to promote IT HRD policy efficiently. Benchmarking implications were derived from comparative studies of foreign high-level HRD policies and we suggest IT high-level HRD Policy in the framework of National Future Strategy. The results of this study are rich in implications for implementation of IT HRD related to national R&D road-map in the field of information technology, the supply spread maintenance and the vision change of high-level HRD to cultivate global competitiveness, IT-based Fusion Technology HRD, and R&D related HRD policies and action plans.

• Land and Housing Review
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• v.2 no.4
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• pp.379-385
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• 2011

Energy consumption of building is given a sizable portion in total national energy conservation and if current trends continues, energy conservation level will rise as level of developed country. For this reason, a basic plan is proposed for integrated management system to manage energy conservation of buildings using a link with energy information and building information. Specifically, the questionnaire investigation conducted by building energy expert is performed to determine the projects along with time schedule and demands level of management system. In addition, to investigate study on energy usage information and management situation the management architecture of energy supplier is also studied.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.291-298
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• 2019

This study discusses the core contents and implications of the design support policy of government in the creation of the designer-makers' business ecosystem through the analysis of 'Young man's Creative Work & Startup Support Project'. This case, which aims to cultivate a design brand based on maker technology and to create jobs for young people, suggests the role of government as a creative culture creator so that designer-makers are able to create creative activities in a more free and creative atmosphere. Furthermore, this study emphasizes the importance of efficient integration and reorganization of similar maker support policies implemented by each government department, the necessity of a roadmap for realizing this, and the support for quality improvement. As a result, the design support policy of government for the designer-makers' business activation should evolve into the qualitative development of intellectual property based on a mature shared culture and the discovery of a new production paradigm model of the manufacturing industry based on the open manufacturers beyond the economic and numerical goals of creating new jobs.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.306-317
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• 2021

With a global shift from carbon economy towards hydrogen economy, leading countries such as the U.S., Europe, China, and Japan are focusing their research capabilities on hydrogen research and development(R&D) by announcing various hydrogen economy policies. South Korea also has been following this global trend by announcing hydrogen economy roadmap in January 2019 and legislating hydrogen economy related law. In this paper, we tried to figure out the national R&D trend of Fuel Cell Electric Vehicle(FCEV) and its knowledge structure by using recent 10-year project data of National Technology and Information Service(NTIS). We collected 1,479 FCEV-related projects and conducted text mining and network analysis. According to the analysis, FCEV-related R&D has been actively carried out over the entire process of hydrogen production, transport, storage, and utilization. Furthermore, the paper provides insights into the government's policy agenda building and market strategy on the hydrogen economy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.261-270
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• 2020

In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.

• Journal of the Korean Institute of Gas
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• v.25 no.6
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• pp.85-91
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• 2021

In January 2019, the Korean government announced the 「Hydrogen Economy Activation Roadmap」 to be a world-class leading country in Hydrogen economy. Korea has established a strategy that can lead the hydrogen economy with its strong points of 'hydrogen car' and 'fuel cell'. As a part of that, a target of supplying hydrogen vehicle charging stations to 310 by 2022 and 1,200 by 2040 was established. In line with this, Korea Gas Safety Corporation will operate a pre-consulting system of hydrogen vehicle charging station in February 2021 to solve in advance construction delays due to various on-site problems according to safety standards during the construction stage to build a hydrogen refueling station with a sense of speed. This paper is to find out about the pre-consulting system and to analyze its effects.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.24-32
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• 2022

In Korea, the productivity of the construction industry is evaluated at a very low level, and the utilization of the elemental technology of the Fourth Industrial Revolution is also very low compared to other industries. In order to solve this problematic situation, it is necessary to identify the demand for technology improvement in the specialty construction industry that is directly in charge of construction in projects. Therefore, this study aims to investigate improving construction competitiveness and the demand for technology improvement in Korea's specialty construction industry. First, the concept and status of classification of the specialized construction industry were identified, and a questionnaire was organized. Second, a survey was conducted on experts construction experts, and the demand for technical improvement of the specialty construction industry was derived by applying AHP and cluster analysis. The results of this study will serve as a practical reference for policy development, R&D direction, and technology development roadmap to enhance construction competitiveness in the future, and ultimately will help to present directions to improve the construction competitiveness of the construction industry.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.491-491
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• 2021

댐·보 운영은 과거부터 많은 양의 데이터를 근간으로 분석 및 의사결정을 진행하였으나, 자연 현상의 복잡성 및 다양한 영향 관계로 인해 기술개발은 답보 상태에 머물러 있다. 또한 댐·보 운영의 기술개발은 개별적인 일부 요소기술에 국한되어 있는 실정으로 댐·보 운영의 전체 의사결정체계에 대한 미래의 방향성에 대한 전략이 부재한 상황이다. 이에 기후변화, 물관리일원화, 환경대응용수의 활용, 복합적 제약사항 도출 등 최적 댐·보 운영을 위한 의사결정지원 고도화에 대한 사회적 니즈가 증가를 반영하고, 기존의 재래적 의사결정지원 시스템 및 홍수분석기술에서 탈피하여 AI, Big Data 등 혁신 기술적용 및 최신기술 트렌드를 반영한 미래 물관리 로드맵의 제시가 필요한 상황이다. 본 연구의 목적은 홍수기 댐운영을 위해 기존 반복 분석하는 일련의 절차 자동화와 운영자의 경험에 따라 달라지는 운영방법의 일반화를 위한 AI의 도입에 있다. 기존 홍수분석체계를 살펴보면 저수지 홍수분석, 저수지 수위계산, 방류량 결정, 분석결과와 제약사항의 비교 같은 일련의 절차에 대해서 합리적인 결과가 도출될 때까지 반복 분석을 수행하여야 한다. 분석모형간 연계와 재래적 방법의 자동화를 도입하면 홍수분석에 소요되는 시간을 줄일 수 있어, 사전에 대비할 수 있는 시간을 추가적으로 확보할 수 있게 된다. 또한 홍수기 댐운영 방법이 운영자의 경험에 의존하다 보니 운영자마다 다른 운영방법을 도출하게 되는데, 과거사례의 최적 운영방안을 학습시킨 AI를 도입하게 되면 일관성있는 최적 댐운영이 가능할 것으로 판단된다. 이에 본 연구에서는 홍수분석 절차의 자동화, DB 및 통계모형 구축, 분석결과 및 제약사항의 직관적인 표출화, AI 도입을 통한 운영방안의 일반화 등 기존 재래기술의 개선을 통해 최적 댐운영 의사결정지원시스템의 고도화를 추진하고자 한다.