• Title/Summary/Keyword: Analysis of Patents

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Innovation of technology and social changes - quantitative analysis based on patent big data (기술의 진보와 혁신, 그리고 사회변화: 특허빅데이터를 이용한 정량적 분석)

  • Kim, Yongdai;Jong, Sang Jo;Jang, Woncheol;Lee, Jongsu
    • The Korean Journal of Applied Statistics
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    • v.29 no.6
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    • pp.1025-1039
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    • 2016
  • We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

Technology Trends and Patents Analysis of Auger bit for Deep Cement Mixing (DCM) Method (심층혼합처리 공법용 오거비트의 기술동향 및 특허분석)

  • Min, Kyongnam;Lee, Dongwon;Lee, Jaewon;Kim, Keeseok;Yu, Jihyung;Jung, Chanmuk;Hoang, Truong Xuan;Kwon, Yong Kyu
    • The Journal of Engineering Geology
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    • v.28 no.3
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    • pp.431-441
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    • 2018
  • To set up the future research and development direction for Auger bit, this study analyzed publicized patent trends of Deep Cement Mixing method (DCM) in Korea, USA, Japan, and Europe. DCM method was firstly classified into wing shapes and the number of rods according to the technical scope, and secondly, classified into 8 types according to type of screw and rotation axial. A total of 2,815 patents were searched and 448 validated patents were selected through de-duplication and filtering. As a result of the analysis of the portfolio through the number of patents and growth stages, it was selected as the core technology that auger is deemed to have high growth potential and if there is a patent similar to core technology through a patent barrier analysis, the basic data is suggested to develop the design around and differentiated technologies.

Quantifying the Process of Patent Right Quality Evaluation : Combined Application of AHP, Text Mining and Regression Analysis (특허권리성의 정량적 평가방법에 대한 연구 : AHP, 텍스트 마이닝, 회귀분석의 활용)

  • Yoon, Janghyeok;Song, Jaeguk;Ryu, Tae-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.2
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    • pp.17-30
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    • 2015
  • Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

Research trends in obesity & obesogenic environments in Korea

  • Lee, Myoungsook
    • Nutrition Research and Practice
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    • v.13 no.6
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    • pp.461-472
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    • 2019
  • BACKGROUND/OBJECTIVES: Globally, it has been projected that there will be 2 billion overweight and 1 billion obese individuals by 2030. In Korea, the prevalence of adult obesity (BMI > 25) increased from 29.7% in 2009 to 32.4% in 2015. Moreover, childhood obesity, which leads to adulthood obesity, has increasingly become a social problem. The purpose of this review is to summarize the scientific basis for the development of effective models and policies aimed at preventing obesity over a lifetime based on research modeling obesogenic environments. MATERIALS/METHODS: The review focuses on the characteristics of obesity prevalence and trends in 3P analysis (papers, patents, and products) as well as government-funded projects in Korean obesity obesogenic environments over the last 10 years. RESULTS AND DISCUSSION: As a result of the 3P analysis, studies on obesity risk factors were frequently carried out, according to two data bases RISS (4.9%) and PubMed (24.7%). Since there were only 17% patents related to the mechanism of preventing obesity in 7,951 Korean patents related to obesity, new paradigms of technologies to dominate the global obesity markets are needed. After government-funded projects were analyzed, communication and cooperation in multi-governmental departments were suggested to elucidate the characteristics of Korean obesity. Government should also produce short- and long-term road maps to develop a practical, successful outcome. Although the rate of obesity in Korea is currently lower than in other developed countries according to WHO criteria, without adequate governmental intervention, obesity rates will approach those of the top countries with high incidence rates of obesity within the next 10 years.

Patent Information Analysis of Cycling Wear (사이클 의류의 특허정보 분석)

  • Kim, Chunjeong;Choi, Kyeyoun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.5
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    • pp.901-913
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    • 2017
  • This study analyzed the current state of art by investigating related patents of cycling wear, and suggested fundamental data to develop clothing - originated in Korea. Patent trends were then analyzed after the related patents applied in Korea, USA, and Japan from 1975 to 2015 were extracted using WIPS ON, classified as nation, applicant, technology, use, and technological maturity of the applicant country. The number of patent applications has steadily increased since the 1990s, and has steeply grown since the 2000s. The USA accounted for 55.6% of all collected patents in the study, Japan for 30.6%, and Korea for 13.7%. Technologies related to patterns and functional materials have been dominated by the USA and Japan; however, smart technologies have been actively developed in Korea. According to use, USA focused on functionality, Korea concentrated on safety, and Japan uniformly combined functionality, safety, and convenience. According to the positioning of technology by application, water repellency, stretchability, muscle strengthening, pad, panel, finishing, and weaving technologies were positioned in the functionality.

Technology Trend Analysis of CO2 Capture and Storage by Patent Information (특허정보를 활용한 CCS(CO2 Capture and Storage) 기술동향 분석)

  • Lee, Su-Jin;Lee, Yun-Seock;Lee, Jeong-Gu;Hong, Soon-Jik;Lee, Joong-Beom
    • Journal of Powder Materials
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    • v.22 no.4
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    • pp.289-297
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    • 2015
  • As recognized by all scientific and industrial groups, carbon dioxide($CO_2$) capture and storage(CCS) could play an important role in reducing greenhouse gas emissions. Especially carbon capture technology by dry sorbent is considered as a most energy-efficient method among the existing CCS technologies. Patent analysis has been considered to be a necessary step for identifying technological trend and planning technology strategies. This paper is aimed at identifying evolving technology trend and key indicators of dry sorbent from the objective information of patents. And technology map of key patents is also presented. In this study the patents applied in korea, japan, china, canada, US, EU from 1993 to 2013 are analyzed. The result of patent analysis could be used for R&D and policy making of domestic CCS industry.

A Study on prediction of patent big data using supervised learning with dimension reduction model (지도학습 기반의 차원축소 모델을 이용한 특허 빅데이터 예측에 관한 연구)

  • Lee, Juhyun;Lee, Junseok;Kang, Jiho;Park, Sangsung;Jang, Dongsik;Hong, Sungwook;Kim, Sunyoung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.4
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    • pp.41-49
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    • 2019
  • Patents are system to promote the development of industry by disclosing technology. The importance of recent patent is being emphasized. For this reason, companies apply for many patents. And they analyze the patent. Patent analysis helps to protect and foster their technology. Previously this method has been carried out by experts. Expert-based patent analysis, however, has the disadvantage of being time-consuming and expensive. Consequently, we try to solve this problems by developing prediction model. Therefore, this paper proposes a data-based patent analysis method using quantitative indicator and textual information. We confirmed the practical applicability of the proposed method through 1,831 autonomous vehicle patents. As a result, it was possible to confirmed that safety and lane detection related technologies are important.

A Study on the Technology Spillover Effects on Industries by Analyzing Patents (특허분석을 이용한 기술이 산업에 미치는 경제적 파급효과에 관한 연구)

  • Jung, Ha-Gyo;Whang, Kyu-Seung
    • Journal of the military operations research society of Korea
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    • v.32 no.2
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    • pp.143-164
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    • 2006
  • This paper considers the technology spillover effects on industries by analyzing patents. Registered patents in the United States from Korea in 1990 and 1995 are compared by quantity of registrations as well as patent analysis indices, namely, cites per patent, technology cycle time and science linkage. Several regression models between these indices as predictor variables and the value added of an industry as a dependent variable were investigated. The results show that the value added of an industry positively correlates to the number of patent registrations and cites per patent.

A Study on the Influence of Self-driving Patents on the Firm Performance in the Automotive Parts Industry (자율주행 관련 특허의 자동차 부품 산업 내 기업 성과에 미치는 영향에 관한 분석)

  • Cho, Hyunseok;Kwak, Chanhee;Choi, HanByeol Stella;Lee, Minhyung;Lee, Heeseok
    • 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.

A Study of the Characteristics and Productivity of the University Entrepreneurship Ecosystems - Discrete and complementary effects of patents, entrepreneurship education, and student entrepreneurship clubs - (대학 창업생태계의 특성과 생산성에 관한 연구 - 특허, 창업교육, 창업동아리의 개별효과와 상호보완효과를 중심으로 -)

  • Lee, Kyoung-Joo;Kim, Eun-Young
    • Journal of Engineering Education Research
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    • v.21 no.6
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    • pp.108-117
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    • 2018
  • Given the substantial industrial and economic contributions of university start-ups, a growing number of studies have adopted the ecosystem perspectives to systematically explain creating start-ups in universities. Despite the huge theoretical potential, few studies have analyzed the complex, complimentary interactions of the core components in the university entrepreneurship ecosystems (UEEs). Addressing the limitation, this research not only discusses the role of the core ecosystem components, such as patents, entrepreneurship education, and student entrepreneurship clubs, but also analyzes their discrete and complimentary effects on the productivity of UEEs. Based on a national survey of universities, this study shows that all the core components have a positive effect on the ecosystem productivity. More importantly, this study investigated the complimentary relationships among components and tested the moderation effects of both the entrepreneurship education and the student clubs on the relationship between the patents and the productivity of UEEs. The analysis results show that the student clubs intensify the patents' positive effect on the productivity of UEEs. The research results could provide the crucial policy insights for the successful design of UEEs.