• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.860-885
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• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• Food Science and Industry
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• v.42 no.4
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• pp.40-44
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• 2009

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.971-978
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• 2014

This study investigates the developmental conditions of functional clothes for the elderly. First, preceding studies and relevant web sites were analyzed along with a survey of commercial functional elderly clothes in Korea. A KIPRIS patent information database was used to study registered and disclosed patents and utility models in order to analyze patent application trends in relevant fields. Patents were searched by year of application from 1990 to 2013. Keywords used for searching included 'senior, aged, and elderly'. Among collected data, overlapping and irrelevant data were excluded to select 162 cases for analysis. Details of analysis are annual patent application trends of functional elderly clothes, topic analysis, shape and characteristics. An examination of commercially available functional clothing products for the elderly indicated that most of products were developed in the form of inner wear or protective clothing for seniors who have bodily discomfort. An annual patent application of functional elderly clothes showed slight fluctuations; however, there was an overall increase. For patent topics, technologies related to secretion and excretion were the most at 47 cases total (29%), followed by 23 cases (14%) on biometric information technology. However, the development of relevant technologies seems necessary in the future as therapeutic function and fiber technologies gradually stagnate.

• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.840-845
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• 2009

The purpose of this study is to analyze the trends of technique development of domestic textile industry and to guide the directions for researches to secure competitiveness of textile industry by analyzing domestic patent applications. This research used patent literature from Korean Patent Information database provided by Korea Intellectual Property Rights Information Service(KIPRIS), and the patent search scope, based on the application year, was from 1980 to 2007. The number of patents by natives was lower than that of foreigners in 1980's, but from the mid 90's, that number grew larger than that of foreigners. Also the number of patents by natives have shown steadily increasing tendency. However, the number of foreigner's patent in D03, D04, D05 of class was higher than the number of patents by natives. The technical fields where the patent application ratio is high varied from one country to another. In Korea, D01F of subclass had the most number of patents, and D05B, D04B had the most number of patents in Japan and Germany.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

• The Journal of Information Systems
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• v.30 no.3
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• pp.201-216
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• 2021

Purpose The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends. Design/methodology/approach The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network. Findings As a result of this analysis, it was found that 'manufacture' topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.

• Journal of the Korean Society of Radiology
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• v.13 no.5
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• pp.785-790
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• 2019

Convergence and advancement between technologies such as Artificial Intelligence, Big Data, and the Internet of Things have a significant impact on the regional flagship industry. All technical fields are used as a converged technology by connecting between technology and industry. In order to understanding the recent technical trend, it is possible to easily realized the technical trend research and analysis through keyword search using patent information. The purpose of this study is to identify patent trends applied to convergence technology in the 4th Industrial Revolution age in radiation technology development and to present patent trends and analysis for strengthening and utilizing radiation-related industrial technology competitiveness and to apply them to demand technology and forecast future promising technologies.

• Korean Journal of Organic Agriculture
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• v.22 no.3
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• pp.369-379
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• 2014

To investigate the technology trends in organic farming using patent analysis, total 1,026 patents in organic farming in Australia, EU, Japan, Korea and USA between 1974 and 2014 were analyzed. The number of the patents applied in organic farming was largest in Korea, followed by Japan and the USA. Since 2000, the patent application in Korea and USA increased drastically, while in Japan the patents in organic farming were applied steadily in the late 1980s. The applied patents in organic farming were mainly dominated in the field of organic production technology (AA) especially in Korea, while those in environmental assessment were merely applied. Most patent appliers were biased to private applier (80%) than national institutes including university. With this study, it is highly recommended that national interests and R&D on the organic farming fields are needed to meet the food safety.

• Electronics and Telecommunications Trends
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• v.20 no.4 s.94
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• pp.198-207
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• 2005

최근의 국제 표준화 동향은 특허 등 IPR(지적재산권)을 필수적으로 고려하고 있는 상황으로서, 선진 각국은 자국 개발 기술의 IPR 확보와 이의 국제 표준화를 연계시킴으로써 세계 정보통신 시장의 선점을 통하여 핵심적인 위치를 공고히 하고 있다. 본 고에서는 국제 표준화 기구(ITU-T)의 지적재산권 정책 및 관련 논의 동향을 살펴본다. 그리고 ITU-T에서 개발한 권고에 포함된 특허에 대하여 각 국가 및 기관이 대상 권고 및 특허 관련 정보 등을 ITU-T 사무국(TSB)에 통지한 Patent Statement and Licensing Declaration(특허 성명 및 라이선싱 선언서)로 구성된 Patent DB 분석을 통해 ITU-T의 개발 권고에 포함된 각 국가 및 주요 기관별 특허 현황을 살펴보고 그 함의를 모색해 보고자 한다.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.613-625
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• 2016

The development of technology has changed the world drastically. Patent data analysis helps to understand modern technology trends and predict prospective future technology. In this paper, we analyze the patent citation network using the USPTO data between 1985 and 2012 to identify technology trends. We use network centrality measures that include a PageRank algorithm to find core technologies and identify groups of technology with similar properties with statistical network models.