• 제목/요약/키워드: Patent Data Analysis

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A Study on Analysis of R&D Intensity based on Patent Citation Information: Case Study on Self-driving Car of Google (특허인용정보 기반의 연구집중도 분석에 관한 연구: 구글의 자율주행자동차 기술 중심으로)

  • Lee, Junseok;Kim, Jongchan;Lee, Joonhyuck;Park, Sangsung;Jang, Dongsik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.4
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    • pp.327-333
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    • 2016
  • An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.

Examining Incentives to License Technology in U.S. High-Tech Industries

  • Kim, Young-Jun
    • Management Science and Financial Engineering
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    • v.10 no.1
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    • pp.43-52
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    • 2004
  • This paper empirically investigates potential factors that might affect firms' incentives to license out technology. The analysis is done with the help of a panel data set of observed licensing transactions involving U.S. public companies in high-technology industries. The important explanatory factors relate to the firm characteristics such as the company's stock of technological knowledge (patent stock). prior involvement in technology licensing. the company size, R&D intensity and capital expenditure. The results suggest that there seems to be significant inter-sectoral differences as well as similarities in determinants of the propensity to transfer technology through licensing agreements.

Constructing an Internet of things wetland monitoring device and a real-time wetland monitoring system

  • Chaewon Kang;Kyungik Gil
    • Membrane and Water Treatment
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    • v.14 no.4
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    • pp.155-162
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    • 2023
  • Global climate change and urbanization have various demerits, such as water pollution, flood damage, and deterioration of water circulation. Thus, attention is drawn to Nature-based Solution (NbS) that solve environmental problems in ways that imitate nature. Among the NbS, urban wetlands are facilities that perform functions, such as removing pollutants from a city, improving water circulation, and providing ecological habitats, by strengthening original natural wetland pillars. Frequent monitoring and maintenance are essential for urban wetlands to maintain their performance; therefore, there is a need to apply the Internet of Things (IoT) technology to wetland monitoring. Therefore, in this study, we attempted to develop a real-time wetland monitoring device and interface. Temperature, water temperature, humidity, soil humidity, PM1, PM2.5, and PM10 were measured, and the measurements were taken at 10-minute intervals for three days in both indoor and wetland. Sensors suitable for conditions that needed to be measured and an Arduino MEGA 2560 were connected to enable sensing, and communication modules were connected to transmit data to real-time databases. The transmitted data were displayed on a developed web page. The data measured to verify the monitoring device were compared with data from the Korea meteorological administration and the Korea environment corporation, and the output and upward or downward trend were similar. Moreover, findings from a related patent search indicated that there are a minimal number of instances where information and communication technology (ICT) has been applied in wetland contexts. Hence, it is essential to consider further research, development, and implementation of ICT to address this gap. The results of this study could be the basis for time-series data analysis research using automation, machine learning, or deep learning in urban wetland maintenance.

The Spatial Analysis of Knowledge Production Activities Based on Korean Patent Data (특허 데이터에 기초한 지식창출활동의 공간분석)

  • Lee, Hee-Yeon;Kim, Hong-Joo
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.3
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    • pp.318-340
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    • 2006
  • In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

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Analysis of Domestic Patent Information on Hydroponics Field (수경재배 분야의 국내 특허 정보 분석)

  • Yu, Sung-Oh;Bae, Jong-Hyang;Park, Yun-Jum;Cho, Ja-Yong;Jang, Hong-Gi;Heo, Buk-Gu
    • Journal of Bio-Environment Control
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    • v.16 no.1
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    • pp.13-20
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    • 2007
  • This study was conducted to collect the basic data fo the development ot hydroponic technique and the efficient promotion of water culture. We have also analysed the water culture associated domestic patent application informations searching for on-line internet site with an admission fee (http://www2.wips.co.kr) from the year 1983 to January, 2006. Fifty nine patent applications related to the hydroponics were searched for in this study. Main patent contents applied were as followed in the order of that nineteen applications about the hydroponic equipments by 32.2%, thirteen applications about the materials used in water culture by 22.0%, eleven applications about the composition of nutrient solution by 18.6%, nine applications about the cultural methods by 15.3%, and seven applications about the cultural media by 11.9%. The compositions of nutrient solution and the cultural methods intended for specific crops were increased in number following five applications about tomato plants and four applications about potatoes. Thirty three patents (55.9%) were mainly applied before the year 2000. Main patent contents were the compositions of nutrient solution before the year 2000 in contrast to the cultural methods and substrates after the year 2000.

Achievement Characteristic Analysis for Large Scale Government R&D Projects Focusing on 21st Century Frontier R&D Program (대형 연구개발사업의 성과에 영향을 미치는 요인에 관한 연구 : 21세기 프론티어연구개발사업을 중심으로)

  • Kwon, Jae-Chul;Moon, Jong-Beom;Yoo, Wang-Jin;Lee, Cheol-Gyu
    • Journal of Korea Technology Innovation Society
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    • v.15 no.1
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    • pp.185-202
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    • 2012
  • This study analyzed the achievement characteristics of 21st Century Frontier R&D Program depending on the subject of study, type, period in order to provide necessary data required during planning and execution of the large scale R&D projects. 21st Century Frontier R&D Program is a representative national R&D project that has been supported for a decade. The research achievements were analyzed for researchers who participated in each four projects completed in 2010 and 2011 among 16 R&D projects of 21st Century Frontier R&D Program promoted by Ministry of Education, Science and Technology. The research is summarized as follows. First, the achievements varied depending on the main agent such as universities, R&D institutions, and industries. The achievement of universities includes significantly larger publications than those of R&D institutions and industries. Second, the rate of overseas patent application and registration were higher in industries significantly than those in other research agents. Third, the achievements differed depending on research type such as basic, applied, and development researches, and the development researches exhibited significantly higher achievements in domestic patent application and registration, overseas patent application, and technology transfer. Fourth, in terms of the research period, long-term projects show significantly larger number of domestic patent applications than those from short-term projects. Fifth, when achievements like the publication and overseas patent application were classified in such fields as bio, nano, and energy environment R&D, bio and nano fields showed higher achievement than the energy environment field. This research could empirically confirm that the achievement characteristics of large scale and long-term government support R&D projects vary for each research properties.

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Trends and Prospects of Domestic and Overseas Studies on Earth Energy Storage Minerals (지구 에너지저장광물 국내외 연구동향 및 전망)

  • Kim, Jung-min;Kim, Seong-Yong;Ahn, Eunyoung;bae, Junhee;Lee, Jae-Wook
    • Journal of the Korean earth science society
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    • v.41 no.5
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    • pp.437-446
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    • 2020
  • The rapid demand for electric vehicles and energy storage systems has increased interest in energy storage devices worldwide. New technological alternatives are needed to reliably supply energy storage mineral resources such as lithium and vanadium, which are key materials for energy storage devices. Already, research and development activities are taking place in various countries on technologies that can directly secure lithium and vanadium. Accordingly, it is very important to analyze each country's technological trends through patent and paper analysis to establish effective research and development strategies and to set future technological development directions. This study analyzed trends in the development of new technologies and the current status of research and development at home and abroad through patent data from Korea, the United States, Europe, and Japan that were disclosed or registered from 1970 to October 2019, and the data searched for papers from January 2000 to October 2019. According to the analysis, the current growth stage of the technology related to energy storage minerals is in the beginning stage. Therefore, it is believed that a strategy to rapidly upgrade technology by combining the development of new technologies and demonstration of developed technologies is needed in order to lead the technology market and strengthen the competitiveness of technologies.

Analysis of Generative AI Technology Trends Based on Patent Data (특허 데이터 기반 생성형 AI 기술 동향 분석)

  • Seongmu Ryu;Taewon Song;Minjeong Lee;Yoonju Choi;Soonuk Seol
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.1
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    • pp.1-9
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    • 2024
  • This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.

비모수적 방법을 이용한 OECD 국가별 R&D 효율성과 생산적 분석

  • Park, Su-Dong;Hong, Sun-Gi
    • Journal of Technology Innovation
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    • v.11 no.2
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    • pp.151-173
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    • 2003
  • This paper analyses the efficiency and productivity of R&D system across time (1991${\sim}$2000) and 16 OECD countries using multi-output and multi-input non-parametric frontier methods such as DEA (data envelopement analysis) and Malmquist productivity indexes. Malmquist productivity indexes are decomposed into two components measures, namely technical change and efficiency change. To calculate R&D efficiency and productivity, we used R&D stock and the number or researchers as R&D input proxies and the number of adjusted SCI papers and U.S. patent applications as R&D output proxies. Empirical result shows that Switzerland, Canada, U.S., Australia's R&D efficiencies are the highest and Korea's R&D productivity growth is the highest in the sample for the period. Technical efficiency growth was a more important source of productivity growth than technological innovation.

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Fifty Years of Innovation in Plastic Surgery

  • Kwasnicki, Richard M;Hughes-Hallett, Archie;Marcus, Hani J;Yang, Guang-Zhong;Darzi, Ara;Hettiaratchy, Shehan
    • Archives of Plastic Surgery
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    • v.43 no.2
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    • pp.145-152
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    • 2016
  • Background Innovation has molded the current landscape of plastic surgery. However, documentation of this process only exists scattered throughout the literature as individual articles. The few attempts made to profile innovation in plastic surgery have been narrative, and therefore qualitative and inherently biased. Through the implementation of a novel innovation metric, this work aims to identify and characterise the most prevalent innovations in plastic surgery over the last 50 years. Methods Patents and publications related to plastic surgery (1960 to 2010) were retrieved from patent and MEDLINE databases, respectively. The most active patent codes were identified and grouped into technology areas, which were subsequently plotted graphically against publication data. Expert-derived technologies outside of the top performing patents areas were additionally explored. Results Between 1960 and 2010, 4,651 patents and 43,118 publications related to plastic surgery were identified. The most active patent codes were grouped under reconstructive prostheses, implants, instruments, non-invasive techniques, and tissue engineering. Of these areas and other expert-derived technologies, those currently undergoing growth include surgical instruments, implants, non-invasive practices, transplantation and breast surgery. Innovations related to microvascular surgery, liposuction, tissue engineering, lasers and prostheses have all plateaued. Conclusions The application of a novel metric for evaluating innovation quantitatively outlines the natural history of technologies fundamental to the evolution of plastic surgery. Analysis of current innovation trends provides some insight into which technology domains are the most active.