• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.2
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• pp.141-146
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• 2016

By occasion of propagation of 3D TV, technology of glassless 3D display is increasingly important. Currently, there was no lead technology In this technology. Thus it is important to develop differentiated technology for secure competitiveness. In this paper, We analyze patents for R&D strategy about glassless 3D display. Through Company-Technology matrix analysis and Patent trend analysis, We extract promising technology field and core technology. Lastly We suggest R&D strategy by using patent road map.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.299-300
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• 2011

본 논문은 한국의 특허정보를 이용한 경기도 산업기술의 비교우위를 특허활동지수(AI)로 분석한 논문이다. 이를 통해 앞으로 경기도의 과학기술정보 서비스 제공의 중점지원 기술 분야를 결정하는데 의사결정에 도움을 주고자 한다.

• Transactions of the Korean hydrogen and new energy society
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• v.23 no.2
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• pp.191-197
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• 2012

The hydrogen storage is one of the key technologies to achieve the successful hydrogen economy and a chain to connect hydrogen production to its utilization. In this paper, characteristics and strong candidates of hydrogen storage technologies were analyzed from the objective information of patents. Also, the hydrogen storage technology trends and gaps were assessed using statistical or qualitative analysis. In this study the patents applied in Korea, Japan, US and EU from 10 or 20 years ago to 2011 were analyzed. The result of patent analysis could be used for developing or searching for promising technology of the hydrogen storage.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.650-652
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• 2014

국가와 기업의 연구개발투자 및 경영정책 전략 수립에서 미래 부상기술 예측은 매우 중요한 역할을 한다. 기술예측을 위한 다양한 방법들이 사용되고 있으며 특허를 이용한 기술예측 또한 활발히 진행되고 있다. 최근에는 텍스트마이닝을 이용해 특허데이터의 정량적인 분석이 이루어지고 있다. 본 논문에서는 텍스트마이닝과 지수평활법을 이용한 기술예측 방법을 제안한다.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.227-240
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• 2011

New concepts and ideas often result from extensive recombination of existing concepts or ideas. Both researchers and developers build on existing concepts and ideas in published papers or registered patents to develop new theories and technologies that in turn serve as a basis for further development. As the importance of patent increases, so does that of patent analysis. Patent analysis is largely divided into network-based and keyword-based analyses. The former lacks its ability to analyze information technology in details while the letter is unable to identify the relationship between such technologies. In order to overcome the limitations of network-based and keyword-based analyses, this study, which blends those two methods, suggests the keyword network based analysis methodology. In this study, we collected significant technology information in each patent that is related to Light Emitting Diode (LED) through text mining, built a keyword network, and then executed a community network analysis on the collected data. The results of analysis are as the following. First, the patent keyword network indicated very low density and exceptionally high clustering coefficient. Technically, density is obtained by dividing the number of ties in a network by the number of all possible ties. The value ranges between 0 and 1, with higher values indicating denser networks and lower values indicating sparser networks. In real-world networks, the density varies depending on the size of a network; increasing the size of a network generally leads to a decrease in the density. The clustering coefficient is a network-level measure that illustrates the tendency of nodes to cluster in densely interconnected modules. This measure is to show the small-world property in which a network can be highly clustered even though it has a small average distance between nodes in spite of the large number of nodes. Therefore, high density in patent keyword network means that nodes in the patent keyword network are connected sporadically, and high clustering coefficient shows that nodes in the network are closely connected one another. Second, the cumulative degree distribution of the patent keyword network, as any other knowledge network like citation network or collaboration network, followed a clear power-law distribution. A well-known mechanism of this pattern is the preferential attachment mechanism, whereby a node with more links is likely to attain further new links in the evolution of the corresponding network. Unlike general normal distributions, the power-law distribution does not have a representative scale. This means that one cannot pick a representative or an average because there is always a considerable probability of finding much larger values. Networks with power-law distributions are therefore often referred to as scale-free networks. The presence of heavy-tailed scale-free distribution represents the fundamental signature of an emergent collective behavior of the actors who contribute to forming the network. In our context, the more frequently a patent keyword is used, the more often it is selected by researchers and is associated with other keywords or concepts to constitute and convey new patents or technologies. The evidence of power-law distribution implies that the preferential attachment mechanism suggests the origin of heavy-tailed distributions in a wide range of growing patent keyword network. Third, we found that among keywords that flew into a particular field, the vast majority of keywords with new links join existing keywords in the associated community in forming the concept of a new patent. This finding resulted in the same outcomes for both the short-term period (4-year) and long-term period (10-year) analyses. Furthermore, using the keyword combination information that was derived from the methodology suggested by our study enables one to forecast which concepts combine to form a new patent dimension and refer to those concepts when developing a new patent.

• Journal of Korea Technology Innovation Society
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• v.2 no.3
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• pp.48-60
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• 1999

과학기술지표는 전통적으로 R&D 투입 데이터와 특허자료가 사용되었지만 본 연구에서는 이들의 단점을 극복할 대안으로 기업의 혁신활동 지표를 제시하고자 한다 먼저 한국의 CIS 데이터가 소개되고 계량분석을 이용한 방법론이 소개된다. 한편 이를 이용하여 산업별 혁신 능력지수를 제시한다

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.3
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• pp.417-423
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• 2011

Generally, in order to avoid overlap with previous research and to initiate the innovative research, researchers must analyze patent information before research can begin. In this paper, the development of grading criteria using current trends in the wind power generation will be performed by analyzing the following criteria: technology position of major countries, impact factor each countries, patent family size, patent portfolios analysis, patent applied analysis, and analysis of nationality for a patent. This patent information for the wind power generation is expected to be useful in deciding the direction of future research.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.83-93
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• 2016

In this paper, I study to determine the effect on patent applicants across the network characteristics of innovation in the ICT sector in Korea. For that, I use the Social Network Analysis(SNA) and the Negative Binomial Regression(NBR). The results about the innovation network in Korea ICT is very dense type. And the degree centrality and the closeness centrality had such a positive effect on innovation performance. Also, the efficiency had not reached a significant effect and the constraint was found to have a negative effect on innovation performance. In the future, based on these results, we need to plan a proper policy of the Korea Technology Innovation Policy.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.25-44
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• 2014

This study analyzed technological competitiveness of five major countries by using patent information that is typical intellectual property. Technological activity, patent competitiveness, market securement and patent concentration were designed as evaluation items for the technological competitiveness analysis, and the number of patent applications, family patents and triad patent families, and the paten concentration index were reflected as evaluation factors to be scored. For technologies to be analyzed, it referred to the energy harvesting technologies selected as 500 future technologies in the future technologic white paper 2013 published by KISTI. They were classified into technologies using thermoelectric, piezoelectric and photovoltaic elements, which are main detailed technologies of the energy harvesting technology, to investigate and analyze patent information for each detailed technology to understand their technological competitiveness. As a result, the United States ranked top with 75 and 70 points in the technology using thermoelectric and piezoelectric elements respectively, and Japan ranked top with 90 points in the energy harvesting technology using photovoltaic elements. It was analyzed that Korea held the second rank in the field using piezoelectric and photovoltaic elements, and the fifth in the technology using thermoelectric elements.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.185-199
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• 2018

The purpose of this study is to derive the core technologies of VR using patent analysis and to explore the direction of social and public interest in VR using news analysis. In Study 1, we derived keywords using the frequency of words in patent texts, and we compared by company, year, and technical classification. Netminer, a network analysis program, was used to analyze the IPC codes of patents. In Study 2, we analyzed news articles using T-LAB program. TF-IDF was used as a keyword selection method and chi-square and association index algorithms were used to extract the words most relevant to VR. Through this study, we confirmed that VR is a fusion technology including optics, head mounted display (HMD), data analysis, electric and electronic technology, and found that optical technology is the central technology among the technologies currently being developed. In addition, through news articles, we found that the society and the public are interested in the formation and growth of VR suppliers and markets, and VR should be developed on the basis of user experience.