• 한국BIM학회 논문집
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• 제10권2호
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• pp.1-11
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• 2020

BIM(Building Information Modeling) is a salient technology for influential innovation in the construction industry. The patent network analysis is useful for suggesting the direction of technology development and exploring the research and development field. Therefore, the purpose of this study is to analyze the BIM technology structure and core technologies according to the convergence of BIM technology and market expansion. In this study, social network analysis was conducted by establishing a co-classification IPC network for the United States BIM patent. In particular, the characteristics of the major technical areas in the BIM technology network were identified through centrality analysis. G06F017/00, digital computing or data processing method, is a core technology field in the BIM network. Arrangements, apparatus or systems for transmission of digital information, H04L029/00 is an influential technology across the network. B25J009/00 for program controlled manipulators is an intermediary technology field and G06T019/00, manipulating 3D models or images for computer graphics, is an important field for technological development competitiveness.

• Asian Journal of Innovation and Policy
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• 제6권2호
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• pp.111-137
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• 2017

This study analyzes a language network of Science and Technology Basic Plan, which is the basis for science and technology policy in Korea, for the next Science and Technology Basic Plan. Language network analysis was adopted for a quantitative approach measuring the trend of policies. Several techniques such as keyword analysis, language network map analysis, quantitative characteristics analysis and keyword-related major-word analysis have been performed. Results show that there are common policies emphasized by all Science and Technology Basic Plans in the past, and there are also specific policies emphasized in each period of the Science and Technology Basic Plan. These specific policies come from a 'change of times' when the Science and Technology Basic Plans were established, as well as the philosophy of the national government.

• International Journal of Knowledge Content Development & Technology
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• 제8권4호
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• pp.75-98
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• 2018

In this study, the network analysis of researchers, institutions, and research principal agent was conducted to understand structure characteristics of international cooperation research project implemented from 1997 to 2018. The network of researchers and institutions were decentralized structure. On the other hands, the network of research principal agent was centralized structure. The Soul National University is the leading organization of international cooperation research project. In terms of research principal agent, corporation is the leading principal agent. In additions, the results of the network centroid analysis of the researchers and institutions were correlated with the research funds. As a result, it was confirmed that the network centroid of research organization was linearly related to research funds.

• Journal of Platform Technology
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• 제11권5호
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• pp.84-96
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• 2023

네트워크 슬라이싱 (network slicing)은 네트워크 인프라를 여러 개로 분할하는 기술을 의미한다. 네트워크 슬라이싱은 네트워크 분할에 들어가는 물리적 자원을 최소화하면서, 유연한 네트워크 구성을 가능하게 한다. 이러한 이유로 최근 네트워크 슬라이싱 기술은 대규모 네트워크 환경의 효율적인 관리를 위해 5G 환경에 적합한 형태로 개발 및 도입되었다. 하지만, 5G 환경에서의 네트워크 슬라이싱 연구에 대한 체계적인 분석이 이루어지고 있지 않아 해당 기술에 대한 체계적인 분석이 부족한 실정이다. 이에 본 논문에서는, 5G 네트워크 환경에서의 네트워크 슬라이싱 기술에 대한 비교 분석을 수행함으로써 해당 기술에 대한 통찰을 제공한다. 본 연구의 비교 분석에서는 체계적인 절차를 통해 5G 환경에서의 네트워크 슬라이싱에 대한 13개의 문헌을 식별하고 비교 분석하였다. 분석 결과, 5G 네트워크를 대상으로 자주 사용되는 3가지 네트워크 슬라이싱 기술인 RAN(radio access network) 슬라이싱, CN(core network) 슬라이싱, E2E(end-to-end) 슬라이딩은 확인하였으며, 이러한 기술은 주로 네트워크 서비스 품질 향상과 네트워크 격리를 달성하기 위해 연구되고 있음을 확인했다. 본 비교 분석 연구 결과는 앞으로의 네트워크 슬라이싱 연구 방향과 활용방안으로서 6G 기술 연구에도 기여할 수 있을 것이라고 판단한다.

• 한국안전학회지
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• 제32권5호
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

• 대한산업공학회지
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• 제40권6호
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• pp.618-627
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• 2014

This paper aims to construct and analyze the domestic collaborative research network in industrial engineering. Using co-authorship information contained in the papers published in the two journals of the Korean Institute of Industrial Engineers, the collaborate research network at the institutional level is constructed. The core institutions in the network are identified by means of the centrality indexes of social network analysis. In addition, the five types of roles of the institutions in industry-university-institute cooperation are examined through brokerage analysis: coordinator, consultant, gatekeeper, representative, and liaisons. The findings are expected to be fruitfully utilized in formulation of R&D strategy of relevant organizations and technology policy making for promoting collaborative research in industrial engineering.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.154-163
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• 2022

The purpose of this paper is to illuminate the role and importance of National Research & Education Network (NREN) in the national research and education field and to establish the future strategy of KREONET in Korea. To this end, we first carefully analyze the footsteps of NREN in major overseas countries, KREONET achievements, and future demand for KREONET. The history of NREN's development is divided into the 2000s, 2010s, and present by era, and classified into network infrastructure, network service, and next-generation network technology by subject. KREONET achievements are divided into advanced research support, network backbone and operation, and network service. Future demand analysis of users who use KREONET was conducted through Korea Research International Incorporation, a survey company. This paper presents the future development strategy of KREONET by analyzing KREONET achievements and future demand.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1994년도 추계학술발표회 및 정기총회
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• pp.12-12
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• 1994

Simulation output knowledge analysis is one of problem-solving and/or knowledge adquistion process by investgating the system behavior under study through simulation . This paper describes an approach to simulation outputknowldege analysis using fuzzy neural network model. A fuzzy neral network model is designed with fuzzy setsand membership functions for variables of simulation model. The relationship between input parameters and output performances of simulation model is captured as system behavior knowlege in a fuzzy neural networkmodel by training examples form simulation exepreiments. Backpropagation learning algorithms is used to encode the knowledge. The knowledge is utilized to solve problem through simulation such as system performance prodiction and goal-directed analysis. For explicit knowledge acquisition, production rules are extracted from the implicit neural network knowledge. These rules may assit in explaining the simulation results and providing knowledge base for an expert system. This approach thus enablesboth symbolic and numeric reasoning to solve problem througth simulation . We applied this approach to the design problem of broadband communication network.

• 산업경영시스템학회지
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• 제39권3호
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• pp.156-169
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• 2016

The objective of this study is to investigate patent trends of Daegu city which tries to introduce environment friendly energy and to develop new technology or new industry sprung from technology convergence on smart decentralized energy technology and other technologies. After applying network analysis to corresponding groups of technology or industry convergence, strategy for future energy convergence industry is provided. Patent data applied in Daegu city area are used to obtain research goal. The technology which contains several IPC codes (IPC Co-occurrence) is considered as a convergence technology. Path finder network analysis is used for visualizing and grouping by using IPC codes. The analysis results categorized 13 groups in energy convergence industry and reclassified them into 3 cluster groups (Smart Energy Product Production Technology Group, Smart Energy Convergence Supply Technology Group, Smart Energy Indirect Application Technology Group) considering the technical characteristics and policy direction. Also, energy industry has evolved rapidly by technological convergence with other industries. Especially, it has been converged with IT industry, and there is a trend that energy industry will be converged with service industry and manufacturing industry such as textile, automobile parts, mechanics, and logistics by employing infrastructure as well as network. Based on the research results on core patent technology, convergence technology and inter-industry analysis, the direction of core technology research and development as well as evolution on decentralized energy industry is identified. By using research design and methodology in this study, the trend of convergence technology is investigated based on objective data (patent data). Above all, we can easily confirm the core technology in the local industry by analyzing the industrial competitiveness in the macro level. Based on this, we can identify convergence industry and technology by performing the technological convergence analysis in the micro level.

• 한국산학기술학회논문지
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• 제21권12호
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• pp.688-701
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• 2020

본 연구는 자동차 산업의 기술협력 네트워크의 특성과 변화 요인들에 대해 분석한다. 전 세계 주요 자동차 기업들이 2000년부터 2017년까지 출원한 112,009건의 자율주행 관련 특허를 사회연결망 분석(SNA: Social Network Analysis, 이하 SNA)을 활용하여 기술협력 네트워크의 구조를 분석한다. 네트워크 분석지표 중 구조적 특성 분석을 통해 밀도 등의 네트워크 특성을 분석한다. 연결 정도 중심성, 매개 중심성 및 관계 중심성 등의 지위적 특성 지표 분석을 통해서는 기술협력 네트워크의 구조적 특성을 확인한다. 분석 결과는 토요타, 현대자동차 등 완성차 기업들과 부품 공급 업체인 보쉬, 콘티넨탈 등이 자율주행과 관련한 기술 개발 실적이 높은 것으로 확인되었다. 네트워크의 구조적 특성 분석 결과 자율주행 기술 개발의 협력 네트워크에 참여한 기업들의 수가 증가하고 다양해졌으며 지위적 특성 지표들은 모두 감소하는 결과를 보였다. 이는 기업 간의 수평적이며 보완적인 기술협력 형태가 증가하는 현상으로 해석할 수 있다. 그리고 자동차 자율주행 기술 분야의 참여자가 많아지고 네트워크가 더 복잡해짐을 확인하였다.