• 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.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.247-256
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• 2004

Recently, International Standardization is an important issue in competitive world market because of integration of standard, liberalization of international trade and globalization. Consequently, Korean companies need a strategy about corresponding to market circumstance and global standard. In this study, we examine Intellectual Property, Patent and Antitrust Law which are related to standardization. This study suggests company strategy and system integration model to dispose the global standard.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.61-79
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• 2006

To come up with the recommendations to improve the patent & trademark retrieval efficiency, 100,016 patent & trademark search requests by 17,559 unique users over a period of 193 days were analyzed. By analyzing 2,202 multi-query sessions, where one user issuing two or more queries consecutively, we discovered a number of retrieval efficiency improvements clues. The session analysis result also led to suggestions for new system features to help users reformulating queries. The patent & trademark retrieval users were found to be similar to the typical web users in certain aspects especially in issuing short queries. However, we also found that the patent & trademark retrieval users used Boolean operators more than the typical web search users. By analyzing the multi-query sessions, we found that the users had five intentions in reformulating queries such as paraphrasing, specialization, generalization, alternation, and interruption, which were also used by the web search engine users.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.365-378
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• 2010

For sustainable economic growth, the Korea government continues to increase its investment in R&D and at the same time, have reinforced the management of R&D outcomes and enlargement of its infrastructure for utilization. However, a strategic R&D planning that draws an outstanding outcomes is more important than the management of its post-outcomes. The purpose of this study is to propose an implication on the policy of R&D planning for obtaining a good R&D outcomes such as a high quality patent. We compared and analyzed the determinants of the patent quality in fuel cell and solar cell technology using the count data models. Estimated results showed that the determinants of the patent quality in technologies were different from each other. Therefore, having appropriate R&D planning strategies for all technologies was more effective than applying one same strategy for all because of technological differences, and based on the estimated results, we suggested the R&D planning strategy in fuel cell and solar cell technologies that could in result in high R&D outcomes.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.239-258
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• 2010

The purpose of this study is to develop a prediction model of patent citation counts based on major factors which affect patent citation. To this end, we performed multiple regression analysis between the patent citation counts and five explanatory variables such as the number of pages, the number of claims, the reference-average-citation rate, the strength of bibliographic coupling, and the document similarity proved as having 5% or more standardized variances($r^2$) with patent citation counts, with a test dataset of U.S. patents in five subject fields. As a result, our prediction models showed 58.3% to 89.6% predictability depending on subject fields and revealed the document similarity has the highest impact on citation counts among the five predictive variables in all the subject fields. The result of comparison between the predicted citation counts and the actual ones confirmed the usefulness of the citation prediction models built for each subject field.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.185-192
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• 2019

Polymer materials are used in a wide variety of fields such as automobiles, aerospace, energy, IT, and as well as simple household products. Despite high interest in the technological convergence of polymer materials for the sustaining progress, there have been only limited analyzes on the topic. This research attempted to analyze the types of convergence and the level of technology in the polymer materials field. For this purpose, we collected patent information from the PCT database and implemented a co-classification analysis. The research shows that Japan and Korea have more section-level convergence whilst US and Europe focus on field-level convergence. In terms of the quality measured by patent activity, patent competitiveness, and patent effect, Korean convergence technologies seem to be inferior to those of other countries.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.471-481
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• 2023

Digital twin is considered as a key technology of industry 4.0, thus being essential for the future of industrial production. Despite the significance, a systematic analysis of its technological landscape is lacking. This study aims to investigate the technological development trends and newly emerging technological convergence opportunities in the domain of digital twin by exploiting patent information derived from U SPTO. For this purpose, this study visualized and predicted the convergence dynamics among patent classification codes by adopting patent co-classification analysis and link prediction approach. The findings show that the number of digital twin-related patent applications has increased significantly since 2018. The CPC code G06F showed the highest eigenvector centrality, while G05B was characterized by highest betweenness centrality. According to the predictive model, 41 novel links were revealed, acting as potential technology convergence opportunities. These links were then categorized into 11 different domains. The most dominant category was "digital data processing and artificial intelligence", which could play a foundational role in the diffusion of digital twin technology. The presence of digital twin technology is dominant in manufacturing, but its applications are expected to expand, including "climate change", "healthcare" and "aerospace engineering". The derived insights can support R&D managers and policy makers in formulating R&D strategies and directing future R&D investment decisions.

• Korean Management Science Review
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• v.31 no.4
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• pp.1-13
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• 2014

This study aims to expand the future study methodology and to develop a methodology of future-oriented curriculum analysis with future skills needs derived from patent analysis. With the case of information security, the methodology is applied to the 16 universities, which have information security department in undergraduate course. From the results, the followings are suggested : 1) for the increasing importance area including hacking, infiltration and PC security, a practical exercise should be emphasized; 2) for the convergence area including security policy, security legislation and OS security, proper faculties should be filed with recruiting field-based experts; 3) for the increasing importance area including professional area including security audit and information security protocol, the advanced curriculum related to graduate level should be provided.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.387-391
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• 2013

디지털 기술의 발달로 세계가 정보 및 지식이 주도하는 사회로 급변하고, 지식 재산권의 발전이 급속하게 진행되면서, 각 기업 및 국가들은 그들의 경쟁력을 키우기 위해 지식재산권에 대한 중요성을 강조하고 있다. 이와 같이 지식재산권의 중요성이 강조되는 현실에서 지식재산권의 확보는 기업의 경쟁력을 좌우하는 요소라 할 수 있다. 따라서 본 논문에서는 빅데이터 분석 도구인 R을 이용하여 빠른 시간 안에 사용자가 목적으로 하고 있는 특허검색 결과를 효율적으로 도출할 수 있는 검색어 추출에 관한 연구를 진행하였다. 이를 위해 다섯 단계의 특허 검색 프로세스를 제안하였고 프로그램으로 구현하여 검색목적에 맞는 특허의 검색에 필요한 시간을 대폭 단축시키면서 목표로 하는 특허 검색을 효율적으로 할 수 있었다.

• Knowledge Management Research
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• v.20 no.4
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• pp.57-74
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• 2019

Self-driving technology is changing the paradigm of automotive industry. Since it is imperative to converge this emerging technology with ICT and there is a time lag between securing this emerging technology and occurrence of firm performance, it is difficult to make decisions on technology development. This study investigates patent indicators to understand the impact of self-driving technology on performance of automotive parts companies. We analyze 611 of self-driving technology patents from 2000 to 2016 and the financial performance of 270 small and medium businesses that register the corresponding patents with consideration of up to four years of time lag. Our analysis results show that patents related to self-driving has a positive impact on asset growth of 2 years and sales growth of 3 years in terms of time lag. This study contributes to the literature by analyzing the impact of technology development on the firm performance in case of convergence of the automotive and ICT industries. Additionally, this study provides a role of patent in knowledge management planning through technology development as a practical implication.