• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.160-166
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• 2014

Patent and utility indicate international competitiveness in the knowledge-based society of the $21^{st}$century where both the quantity and quality of the nation's scientific intelligence and innovative technology represent key criteria to evaluate its strength. Thus, discerning the trends of patents is inevitable for further development. This research is centered on apprehending the technological current of the functional clothing of Korea, through an analysis of patents and utility models. The number of patent applications in Korea was low until the mid-1990s. However, it began to grow rapidly in the 2000s and the number of patents surpassed the number of utility starting in 2006. The technological level of invention in this field has been turned into a higher level. The IPC code with the strongest application was the field related to temperature controllable clothing (A41D 13/005), followed by surgeon or patient apparel related fields (A41D 13/12), and reflective or luminous safety devices (A41D 13/01).The main technological idea was to give functionality that could protect the human body from various hazards and represents the goal of various applied techniques. About 66% of domestic patent applications belong to individuals; however, the proportion of corporate or institutional applications(including universities) remains poor. Consequently, more systematic and long-term support for research on patents is required.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.251-257
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• 2018

As the use of big data is necessary for increasing business value, the size of the big data market is getting bigger. Accordingly, it is important to apply competitive patents in order to gain the big data market. In this study, we conducted the patent analysis based keyword network to analyze the trend of big data patents. The analysis procedure consists of big data collection and preprocessing, network construction, and network analysis. The results of the study are as follows. Most of big data patents are related to data processing and analysis, and the keywords with high degree centrality and between centrality are "analysis", "process", "information", "data", "prediction", "server", "service", and "construction". we expect that the results of this study will offer useful information in applying big data patent.

• Transactions of the Korean Society of Automotive Engineers
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• v.23 no.3
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• pp.315-325
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• 2015

Smart Car market has been experiencing continuous growth to drive leading companies in automotive and IT industries to focus on advancing related technologies. As the IT technologies fuse into automotive technologies, the patent litigation has been showing changes. One of the prominent changes in patent litigation pattern of Smart Car field is the increased activities of the Non-Practicing Entities (NPEs), whose main field has been the IT area. However, the automotive companies have been mainly focusing on preventing patent disputes against competitors through trend analysis, which caused them to become relatively vulnerable to the attacks from NPEs. In this study, we developed a methodology for monitoring and analyzing the activities of NPEs using network analysis tools to suggest effective strategies for manufacturing companies to fortify their ability to respond against unanticipated attacks. Our methodology, which is developed for the Smart Car field, can also be useful for other fields such as IT and electronics.

• The Korean Journal of Food And Nutrition
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• v.35 no.2
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• pp.137-149
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• 2022

The purpose of this paper was to analyze domestic patents for food using edible insects. From January 1, 1980 to December 31, 2021, patents filed with the Korean Intellectual Property Office were searched, and a total of 242 valid patents were selected. The trend of Korean patent applications for edible insect food has increased since 2015, with 57 cases (the highest number) in 2017. As for the edible insects used in food, Bombyx mori L. were the most common with 127 cases, followed by Tenebrio molitor L. with 118 cases. By type of applicant, individuals accounted for the most, with 132 cases. As a result of grouping patents by food classification, 67 cases of edible insects were used in snacks, breads, and rice cakes. As a result of patent analysis, an effort was made to supplement insufficient nutrients by adding nutritionally excellent edible insects to existing foods, and efforts were made to improve the sensory properties of insect foods. It is expected that this study will contribute to establishing future R&D directions and patent application strategies related to edible insect food.

• Journal of the korean Society of Automotive Engineers
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• v.24 no.2
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• pp.108-113
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• 2002

• Proceedings of the KSR Conference
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• 2006.05b
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• pp.1199-1208
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• 2006

• Journal of the Korean Society of Safety
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• v.35 no.4
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• pp.92-100
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• 2020

Along with the rapid development of industrial technology, the industrial structure has been continuously changed. Accordingly, safety technologies have been gradually developed to be applied into various industrial fields as well, not limited to a specific industry area. As a result, it became important to analyze and predict trends of safety technology development in order to establish technology strategies for industrial safety. In particular, since patents are easily accessible to gather the technology and business information, many studies have highlighted technology forecasting using patent information. Thus, this study proposes the patent analysis of monitoring trends of safety technologies of industry fields, taking into account both static and dynamic aspects through index and text analysis. First, patent documents containing safety-related keywords are collected from the WIPSON database for extracting technology information. Then, the development trends of safety technologies by industry fields are identified and analyzed through the analysis of indicators such as marketability, growth, and activation. The results of various indicator analyses of safety technologies are visualized to compare among industrial safety technologies for businesses and technology developers. Second, textmining algorithm is applied to identify trends of specific technology keywords of major industries extracted from patent index analysis. As a result, it is expected that the safety manager uses the patent analysis of safety technologies to provide safety technology information with safety-related companies and institutes. The extracted safety technologies are applicable to business practice and predict future promising technologies.

• Journal of Technology Innovation
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• v.30 no.3
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• pp.35-64
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• 2022

Currently, The budget expenditure for national R&D has been on the rise, and the quantitative performance in national R&D programs has been increasing accordingly. However, a growth of qualitative performance can not reach to an upward trend of quantitative performance. For a poor qualitative performance such as patent grades and technologies with low efficiency of technology transfer, the performance evaluation centered on "number of cases" is necessary to improve and start to introduce various "qualitative performance indicators". This paper focuses on "Triadic Patent Families" being measurable the overseas competitiveness of patent applied in major countries(the US, Europe and Japan). It analyzes the influencing factors to evaluate the quality of qualitative performance of R&D program. The result of this analysis shows a significant effect on the creating of triadic patent families within factors of R&D scale and project characteristics. This paper is significantly meaningful to expand insufficient triadic patent families to the target of interest rather than early study relatively, and to analyze the influencing factors of the creation of triadic patent families.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.566-582
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• 2016

This study aims to analyze knowledge extension and diffusion trend among industries through technological convergence in non-Capital rural areas. A case of Sunchang, Korea examines knowledge extension trend of fermented soy product manufacturing industry. Patent application data are used to make technology convergence analysis and knowledge network analysis. Patent analysis results show that there are differences of knowledge extension trend between the whole country and Sunchang. Technologies of fermented soy product manufacturing in Sunchang is inclined to extend toward technologies related to fermented microorganism. Contrary to the whole country, knowledge extension in rural area like Sunchang is converged to technologies suitable for specialized but limited regional assets and human resources. Core actors of knowledge network of fermented soy product manufacturing in Sunchang are mainly public organizations such as local government, universities, and agencies or institutes. Recently technology sharing and extension is likely to occur through the cooperation between associative corporations and public organizations.

• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.420-429
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• 2009

Patent text is a rich source for discovering technological trends. In order to automate such a discovery process, we attempt to identify phrases corresponding to the problem and its solution method which together form a technology. Problem and solution phrases are identified by a SVM classifier using features based on a combination of a language modeling approach and linguistic clues. Based on the occurrence statistics of the phrases, we identify the time span of each problem and solution and finally generate a trend. Based on our experiment, we show that the proposed semantic phrase identification method is promising with its accuracy being 77% in R-precision. We also show that the unsupervised method for discovering technological trends is meaningful.