• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.10a
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• pp.689-701
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• 2005

최근 특허청의 특허정보 활용 확산 정책으로 인하여 특허정보에 대한 관심이 집중되고 있다. 또한 특허정보를 연구하는 분야에서도 기술혁신 추세 분석, 기술혁신과 기술개발 주체에 대한 관계 분석을 수행하는 특허정보, 전산과학, 문헌정보학을 융합하는 특허정보학 (patinformatics)이라는 분야가 등장하였다. 특허정보를 이용한 최근의 연구동향은 특허 인용정보를 이용하여, 기술 파급효과 분석, 특허 인용지수, 기술영향력 지수, 특허가치 평가등 대부분의 연구가 인용정보를 기반으로 진행퇴고 있다. 기존의 연구 및 분석에 사용된 데이터는 미국특허의 인용정보를 이용하여 수행되고 있다. 한국특허 정보에는 인용정보가 존재하지 않기 때문이다. 한국특허의 분석을 위해서는 미국에 출원된 미국특허 데이터를 수집하여 한국의 연구개발 동향을 분석해야하는 문제점을 내포하고 있다 본 연구는 한국특허청 심사관의 인용정보 생성에 관한 업무 부하를 최소화하는 것을 목적으로 미국특허의 비 특허 문헌정보가 가지고 있는 문제점을 살펴봄으로써 국내에 구축되어 있는 과학기술문헌의 연계를 통한 효과적인 특허인용정보생성 방안을 제시하고자 한다.

• The Journal of Korean Medicine
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• v.44 no.1
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• pp.38-55
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• 2023

Objectives: The purpose of this study was to provide direction for future research in the field of Korean medicine by analyzing microbiome based technologies emerging as a new diagnostic and treatment paradigm. Methods: To achieve the purpose of the study intellectual property data was used. After establishing citation network from registered microbiome-related US patents, citation network was analyzed by knowledge persistence-based main path approach to understanding technological trajectories. Furthermore, community detection algorithms were used to quantitatively identifying specific technological domain in a particular time period. Results: Results shows that early technologies in livestock industry contribute most to the recent patents. Knowledge in the patents flow through the path of food and beverage technological domain, and finally are inherited to the recent development of diagnosis, treatment and prevention technic. Conclusions: This study indicate that developing diagnostic tools which can link the composition of microbiome to specific diseases should be given high priority. Researches should lead to novel therapeutic strategies. Specifically, improving reliability of pattern identification and finding effective therapeutic compositions based on principles of Korean medicine is necessary.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.327-333
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• 2016

An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.385-419
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• 2018

This study suggests an integrated model composed of factors of industrial environments and technology capacity for corporate diversification decision based on industrial organization theory and resource based perspectives. We examine the proposed model using patents and financial data of 272 applicants for 6 years (2010~2015) in the smart factory ICT convergence technology (application and platform field) sectors. The result of analyzing the fixed effect panel model shows that technological competitiveness has a positive effect on corporate diversification. Also, the additional result of analyzing the two-stage least square fixed effect model indicates that the convergence patent ratio increases technological competitiveness. Based on the results, we provide implications for corporate diversification strategies and government R & D policies for commercialization of corporate convergence technology resources and competencies.

• Proceedings of the Technology Innovation Conference
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• 2005.06a
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• pp.69-91
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• 2005

나노 기술은 국가와 기업 차원에서 전략적으로 활발하게 연구, 개발되고 있는 분야로 기술과 산업 전 분야에 걸쳐 있으며 계속 확대되고 있다. 이중 탄소나노튜브는 약 10년여 전부터 활발히 연구되고 있으며, 소재, 소자 등 나노 기술의 전 분야에 걸쳐서 적용될 수 있는 물질로 현재까지 실용화된 기술이나 제품이 많이 나오지는 않았으나 앞으로 다양한 적용분야가 창출될 전망이다. 그러나 전략적인 기술 개발을 위한 연구는 미비한 실정이다. 전략적이고 효과적인 기술 개발의 대안으로 특허 분석(patent analysis)이 제시되고 있으며 나노 기술에 대한 전반적인 특허 분석은 각 기업 연구소나 국가 연구소에서 진행되어 왔으나, 여기서 도출된 정보만으로는 전략적인 문제들을 분석하기에는 미흡하였다. 따라서 전략적인 기술 개발을 위한 특허 분석의 필요성이 제기되고 있다. 이에 본 연구에서는 특허의 인용(citation) 정보를 이용하여 특허와 특허 사이의 관계를 분석하고 이를 바탕으로 관련된 특허를 군집화(clustering) 하여 각 군집의 특성을 살펴보았다. 먼저 탄소나노튜브에 관한 특허를 USPTO 자료를 통해 추출하고, 이 특허들이 인용한 특허들을 추출하여 각 특허들이 어느 정도로 관련이 되어 있는가를 상관 행렬(correlation matrix)을 이용하여 조사하였다. 인용 특허의 분석은 기초 기술 분야에 이르기까지 광범위하게 조사하여 기술별로 특허를 군집화 하였을 뿐만 아니라, 특허 출원인 정보도 활용하여 군집화 하였다. 이를 통하여 기술별, 특허 출원인 별로 특허의 군집을 만들어서 각 군집의 특성을 도출하였고, 마지막으로 각 군집의 특성에 맞게 기술 개발측면에서 전략적인 시사점을 도출하였다. 각각의 군집들은 시간이 지날수록 확대, 통합되는 결과를 보이고 있으며, 융합기술화 되고 있다. 군집을 이루는 주요한 특성으로는 출원인 정보가 큰 비중을 차지하였으며, 이는 출원인의 기술 개발 전략과 이에 따른 기술개발경로나 특허 전략과 관련이 있는 것으로 나타났다. 다양한 기술에 관하여 군집의 크기가 계속 확대되고 있는 경향을 보이고 있기 때문에, 앞으로 지속적인 연구를 통하여 향후 특허 관리와 특허 전략에 적용할 수 있도록 하는 것이 중요하다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.323-337
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is in need of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation by USPTO. After gathering knowledge flow data between science and technology through mapping citing patent and cited pater, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Based on these knowledge flow data, it examines knowledge flow science to industry by applying overlap function that is a network link weight function.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1186-1190
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• 2009

Activities to search for the new business items of the future in the public and private sectors, has been actively progressed. These generally come from the situation that current technology can not guarantee the future as the technologies and products are going to reach a certain limit. However, prior to these activities, it is necessary that watching for existing technology they're now actively using. It can provides keys to how to find new business items for the future based on the current situation of the technology and products lies. This study collects citation information from U.S. patents from 1976 to 2007 and analyses quantitatively top 1% of cited patents during the last five years of from 2003 to 2007 in the metal sector. It is shown that traditional patents have very long life cycle in the metal sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2631-2638
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• 2013

In this study, to understand the technology development trend of super-speed maglev, the patents applied by major countries are analyzed. And based on the analyzed results, the domestic technology development direction are suggested. For patent analysis, the major technologies for super-speed maglev are classified into 14 parts. Then, through the quantitative analysis method such as number, increase rate and share rate, the overview of technology development and focused parts by each country are investigated. Also through the qualitative analysis method such as concentration degree, citation index and market share index, the technology level and market securing ability of each country are anticipated. Considering the analyzed results and technology development trend, the domestic technology development direction such as priority development fields and methods are proposed.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.63-81
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• 2021

The advent of the convergence era led to the convergence of industries while increasing the uncertainty of R&D. R&D uncertainty can be addressed by identifying and addressing industrial innovation patterns, which Neo-Schumpeterian suggested can be identified through the process of identifying the technical characteristics of a particular industry, which can be embodied in the concept of technology trajectory. Thus, this study considered and proposed a method to track the technology trajectory of the convergence industry through topic modeling and patent citation network analysis, and applied it to the micro medical robot industry, which is a representative convergence industry, to track the technology trajectory of active catheter. In particular, it is intended to identify the unique characteristics of the industry by identifying the industry before the promotion of the national-led medical robot industry support policy. Therefore, we tried to understand the innovation pattern of the industry by tracking the technology trajectory of the industry before 2017, the time of full-scale support for the medical robot industry in the United States. Through tracking technology trajectories, the role of each technology classification, the development path, and the knowledge flow between applicants were analyzed empirically. The results of this study are expected to contribute to resolving the remaining uncertainties in the process of establishing an active catheter R&D strategy, one of the leading convergence industries, and furthermore, it is expected to be available for tracking technology trajectories in other industries.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.1-19
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• 2014

The purpose of this research is to analyze the performance of technology transfer of university and professors' capability based on their research activities and performance. For this study, paper citation index, patenting activities, R&D funding scales from public and private sectors separately, careers before and after being professor, scale of research team of 80 professors, who had experienced in technology transfer, were collected. Major result of this research shows that patenting activities rather than paper publishing, R&D funding from private sectors rather than public sectors, and careers after being professor rather than before, are significant factors to affect the performance of university's technology transfer.