• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.6
• /
• pp.51-61
• /
• 2020

Ever since the Act on the Promotion of Industrial Education and Industry-Academic Cooperation (IAC) was enacted in 2003, domestic universities have been focusing on commercialization research that can be applied to basic research industries by collaborating with industry and government agencies. Despite these efforts, the ratio of technology transfer and commercialization through IAC is low. Most technology transfer and technology commercialization studies have derived core technologies by analyzing the applied patents. First, this study collected expired patents from major domestic universities, compared quality characteristics of the expired and live patents, and finally found key patents among expired patents in order to identify companies and fields of application to which the patents can be utilized. The results of the study focus on expired university patents in terms of methodology and present a framework to identify patents capable of continuous IAC and technology transfer and match them with those in need. The results of this study are expected to contribute to increasing the efficiency of technology commercialization.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.294-299
• /
• 2009

The studies were conducted constantly to detect emerging technology, in order to make sustainable growth of business and to make development of future nations. But there were many controversies because definition of emerging technology might be dependent of the subject's viewpoint and because it might be different to a point of time that emerging technology is applied to the present or the future. This paper sets times of emerging technology to the present and defines emerging technology as patents significantly used in developing current technology. US Patents and patent citation data were gathered from 1976 to 2007. We constructed hot patents pools that were utilized actively in developing new technologies regardless of times. We built a mapping table from IPC classification code to WIPO 32 technology category and analysed a half-life cycle according to specific technology groups.

• Journal of Korea Technology Innovation Society
• /
• v.15 no.3
• /
• pp.722-743
• /
• 2012

Confronted with increasing global competition and rising research and development risks, the global open innovation has receiving increased attention. This study empirically investigates whether or not international cooperative R&D is effective by evaluating the quality indicators with the patents with international co-applications. The number of patents with international co-applications has dramatically increased in recent years. According to the results, the outcome from international cooperative R&D is prominent in term of all the evaluation criteria such as the number of citation, patent families, claims, and et cetera, compared with that from domestic cooperative R&D. Based on the patent quality, the information technology sector holds the top spot and high-tech sectors such as bio and automobile industries show the better quality performances. By identifying high betweeneess centrality in the network analysis of international cooperative R&D, the US is indicated as the most central country in such cooperative activity, and then Germany, the UK, Canada, and France come after.

• The Korean Journal of Applied Statistics
• /
• v.29 no.6
• /
• pp.1025-1039
• /
• 2016

We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.4
• /
• pp.39-52
• /
• 2023

In this study, project information of government-funded research institute in the food field was collected and analyzed to systematically identify the factors affecting the process of transferring technological achievements of public research institute to the private sector. This study hypothesized that human resources, financial resources, and technological characteristics as input factors of R&D projects affect output factors, such as research papers or patents produced by R&D projects. Moreover, these outputs would serve as drivers of the technology transfer as one of the R&D outcomes. Linear Regression Analysis and Poisson Regression Analysis were conducted to empirically and sequentially investigate the relationship between input factors and output and outcome of R&D projects and the results are as follows: First, the principle investigator's career and participating researcher's size as human resource factors have an influence on both the number of SCI (science citation index) papers and patent registration. Second, the research duration and research expenses for the current year have an influence on the number of SCI papers and patent registrations, which are the main outputs of R&D projects. Third, the technology life cycle affects the number of SCI papers and patent registrations. Lastly, the higher the number of SCI papers and patent registrations, the more it affected the number of technology transfers and the amount of technology transfer contract.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.9 no.4
• /
• pp.247-258
• /
• 2011

Analysis of foreign and domestic patents for pyroprocessing technology of spent nuclear fuels was carried out in this study. The current status of pyroprocessing technology development in such countries as Korea, USA, Japan and EU was analyzed by classifying the patents for 1975 through 2009 according to registration country, assignee, calendar year and technology area. The major assignees' activity indices were compared in order to find out whether there is any concentrated area of technical details. Technology competitiveness of the countries was also investigated from the information of patent citation number and family size. Furthermore, some essential unit technologies required for the commercialization of pyroprocessing were derived and examined in the aspect of the state of art as well as the trend of technology development.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.2
• /
• pp.25-32
• /
• 2020

Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

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

• Proceedings of the Technology Innovation Conference
• /
• 2005.06a
• /
• pp.116-139
• /
• 2005

ICT(information and communication technology) has played a pivotal role in the world economy, and the out look for ICT has improved markedly. One of the noticeable characteristics in the ICT sector Is the global rationalization of its technology and service. Specialization on the specific ICT capability is a pressing problem for many countries. Along the line of classical innovation cluster and network studies, this paper suggests a way to find and analyze the role of core technologies on the ICT network First, technology network is constructed by using patent citation data from USPTO. Then, a couple of cluster is generated by K-means clustering technique. Finally, brokerage analysis is applied to manifest the role of principal technologies. The network visualization and some stylized facts on dynamics are briefly given altogether Based on the role and relationship of technologies across clusters, it is expected that this research could contribute to the ICT cluster formation and the vision-making for ICT specialization at the viewpoint of technology Policy.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2006.11b
• /
• pp.397-409
• /
• 2006

연구결과는 학술적인 논문, 기술의 기반이 되는 특허, 기술이 체화된 상품 등 다양한 방법으로 도출되고 있다. 현재까지 연구 성과를 측정하는데 있어서 수치로 표시되는 정량적인 평가는 용이하게 활용하고 있다. 하지만 질적인 우수성을 평가하기 위한 정성적인 방법은 많은 연구를 필요로 한다. 각기 다른 목적이나 용도로 만들어진 평가지표나 방법론이 적절하게 적용하여 평가지표로 적용되어 지기는 힘든 상황이다. 특히 연구자나 기관 등의 평가 시 연구논문을 활용한 계량정보기법을 근간으로 하는 다양한 방법이 많은 연구자들을 통해 제시되고 있다. 또한 학술적인 논문뿐아니라 산업으로 대표되는 특허의 평가시도 유사한 방법을 활용하고 있다. 문헌의 경우는 SCI DB를 활용하여 정성적인 부분을 대체하고 있다. 하지만 산업으로 대표되는 특허의 정성 평가는 많이 활용하지 못하고 있다. 이에 특히 문헌 및 특허의 인용정보를 대상으로 최근 제안되고 있는 연구 성과 지표인 h-지수 등을 활용하여 사례를 분석하여 보고자 한다.