• 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 Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2724-2730
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• 2015

Internet of Things (IoT) is possibly the most widely discussed technological concept in today's technology circles. This technology is expected to dramatically change not only how we work but also how we live. The concept of IoT basically means a web of connected devices which can be controlled over a data network. With cost of technology required to control these devices going down and increasing internet connectivity through smartphones, IoT is expected to be an all pervasive technology in the next 10 years. In this paper, we study the technological landscape of this fast growing technology domain from an Intellectual Property (Patents) perspective. We find that the patent distribution in this domain is very fragmented with the top patent applicants in the field holding around 5% of the total patents. Especially, the US geography has seen the maximum patent filings and is closely followed by the big Asian markets of Japan and Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5227-5237
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• 2011

Technology roadmap is a powerful tool that considers relationships of technology, product and market and referred as a supporting technology strategy and planning. There are numerous studies that have attempted to develop technology roadmap and case studies on specific technology areas. However, a number of studies have been dependant on brainstorming and discussion of expert group, delphi technique as qualitative analysis rather than systemic and quantitative analysis. To overcome the limitation, patent analysis considered as quite quantitative analysis is employed in this paper. Therefore, this paper proposes new technology roadmapping based on patent citation network considering technology life cycle and suggests planning for undeveloped technology but considered as promising. At first, patent data and citation information are collected and patent citation network is developed on the basis of collected patent information. Secondly, we investigate a stage of technology in the life cycle by considering patent application year and the technology life cycle, and duration of technology development is estimated. In addition, subsequent technologies are grouped as nodes of a super-level technology to show the evolution of the technology for the period. Finally, a technology roadmap is drawn by linking these technology nodes in a technology layer and estimating the duration of development time. Based on technology roadmap, technology planning is conducted to identify undeveloped technology through text mining and this paper suggests characteristics of technology that needs to be developed in the future. In order to illustrate the process of the proposed approach, technology for hydrogen storage is selected in this paper.

• Journal of Korean Society for Quality Management
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• v.49 no.1
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• pp.97-112
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• 2021

Purpose: The purpose of this paper is to analyze the technology convergence and its characteristics, focusing on the defense technologies in South Korea. Methods: Patents applied by the Agency for Defense Development (ADD) during 1979~2019 were utilized in this paper. Information Entropy analysis has been conducted on the patents to analyze the usability and potential for development. To analyze the trend of technology convergence in defense technologies, Social Network Analysis(SNA) and Association Rule Mining Analysis were applied to the co-occurrence networks of International Patent Classification (IPC) codes. Results: The results show that sensor, communication, and aviation technologies played a key role in recent development of defense science and technology. The co-occurrence network analysis also showed that the convergence has gradually enhanced over time, and the convergence between different technology sectors largely emerged, showing that the convergence has been diversified. Conclusion: By analyzing the patents of the defense technologies during the last 30 years, this study presents the comprehensive perspectives on trends and characteristics of technology convergence in defense industry. The results of this study are expected to be used as a guideline for decision making in the government's R&D policies in defence industry.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.455-465
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• 2011

User interface technology has applied to various fields. it is considered as the powerful tool to interact between users and devices efficiently. also. before the actual study, many companies are examining a patent. In this paper, we classified the UI technologies into seven categories and perform quantitative analysis. We can understand domestic technical level and research trends of advanced countries by in this research. We provided objective patent information and we proposed the direction of the development and the way of the securing patent.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.102-108
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• 2021

In this research, we would like to understand the measures to be taken in the event of a patent dispute by Chinese companies that are growing rapidly and competing with Korean companies in the global market, at a time when the fusion and compounding technology are accelerating. For this reason, the patent dispute countermeasures shown in the previous research were derived through deep interviews with experts, and a questionnaire survey was conducted with patent practitioners of Chinese companies. As a result of the analysis, the importance of cross licensing, patent invalidation proceedings, proceedings through collaboration with other companies, royalty payments, and patent invalidation proceedings in the case of a patent dispute in the Chinese industry is high. Shown. The results of this study provide practical guidelines to help corporate patent practitioners understand the best course of action in the event of a patent dispute, respond in a timely manner, and save time and money. It seems that it can be done.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1207-1216
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• 2023

As the domestic animation industry is shrinking, it is time to actively respond to changes in new technologies and animation production methods. From 2016 to 2020, through patent information registered in the United States, China, and Korea in the field of animation technology, applicants who are the subject of technology were analyzed and technical policies and strategies pursued by applicants in each country were reviewed. China registered the most patents, so the technical activity index was high, and the US family patent size was high. As a result of positioning analysis, the U.S. market expansion influence decreased over time, China's technological activity gradually increased over time, and Korea's technological activity and family patent size decreased. Reflecting China's rise as the world's largest animation producer, Korea should also develop a policy to support animation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.39-53
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• 2023

Recently, the market competition has been fiercer due to the acceleration of technological change and the launch of intelligent products. In this situation, technology cooperation activities through networks rather than independent technological innovation activities of a single company or institution are recognized as a crucial strategy to gain competitiveness. Technology cooperation can take various forms depending on the target technology, and researchers have conducted performance analyses of technology cooperation types. However, there have not been data-based quantitative studies on the types and trends of technology cooperation for the target technology. In this paper, we explored the difference between the technology cooperation types by technology and time using the formal concept analysis method and co-patent information. In particular, the proposed methodology has been verified through the case study of electric vehicles, and it is intended to suggest the direction of technological cooperation according to specific technologies and cooperation targets in the future

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.382-390
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• 2019

As there is severe competition in the global foldable display market, strategic technology planning is required. Patent analysis as a tool for technology planning has frequently been used due to data characteristics such as openness, formality, and detailed information. However, traditional patent analysis has various limitations such as quantitative approaches are limited in evaluating contents of patents and identifying core technologies of firms as they rely on number of patents, and qualitative approaches have time and cost problems as researchers have to investigate each patent on a case-by-case basis. In this research, we analyze core technologies of firms in the foldable display sector analyzing patent co-classification Network. Results show that the number of patent applications has rapidly increased since 2014, and 92% of these patents are held by two panel manufacturers, SDC and LGD, and two device manufacturers, SEC and LGE. Network analysis shows that the two panel manufacturers' core technologies are similar and two device manufacturers are notably different. This research provides implications to the sector. Moreover, this study provides unique results drawn from co-classification network analysis, and therefore, our research suggests patent co-classification analysis as an effective tool for technology planning.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.813-818
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• 2008

Highly cited patents (HCPs) were selected from the patents published from 2002 to 2006. Citation frequencies of patents were obtained from the database provided by DWPI and were analyzed with respect to the IPC (International Patent Classifications). HCPs were selected as those who occupy top 1% of citations in the sets of patents given by IPCs and publication year. After selecting the HCPs their distribution over IPCs, Industrial Classifications and patent assignees' nationalities were analyzed. According to the result the US held 5,634 patents (66.9%) out of the total 8,416 patents occupying the the first rank in the distribution of patent assignees' nationalities. Japan and Germany ranked the 2nd and 3rd place holding 885 (10.5%) and 521 (6.2%) HCPs, respectively. On the other hand, Korea were positioned at 6th holding 151 (1.8%) HCPs. Among the industrial sectors classified by the Industrial Classifications provided by the Korean Intellectual Property Office, Manufacturing Sector occupied the 1st place with 7,692 HCPs (81.7%) and Waste Treatment Sector occupied the 2nd place with 578 HCPs (5.9%).