• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2835-2839
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• 2010

This paper estimated the technical specialization of UAV system by analyzing related patents. For that, variable indicators such as patent numbers regarding country, subsystem technic, periods and revealed number of patents are used in this paper. RPA and PII index are also used to estimate technical specialization of the coutry. Positive RPA value means superior competitiveness, and vice versa. PII means the quality of the patent. PII value more than 1 means that the quality of the patent is better than others, Otherwise the quality of the patent is worse. This paper estimated the specialization of technologies among countries using above two index.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.314-315
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• 2016

본 논문에서는 한정된 자원으로 선택과 집중을 통한 국민안전처(구 소방방재청) 연구개발 사업의 효율성을 증대하기 위한 종합발전계획 수립을 위한 선행 조사로서 주요 특허분석 지표인 특허활동지수(AI), 인용도 지수(CPP), 영향력 지수(PII), 기술력 지수(TS), 시장 확보 지수(PFS) 등을 이용하여 미국, 일본, 중국, 유럽과 우리나라의 재난 안전 분야 특허 동향을 비교 분석하였다. 분석 결과 주요 5개국의 재난 안전 분야 기술 성숙 단계를 보면 한국과 중국은 발전기, 미국은 성숙기의 기술성장 단계를 보이며, 유럽과 일본은 답보 상태 기술수준 단계라고 판단할 수 있었다. 기술 분류별 특허출원 현황을 분석한 결과 예방 대비 기술 분야가 출원된 특허 중 36%로 가장 높은 비중을 보이고 있으며, 예측 기술 분야는 29%로 두 번째로 높은 비중을 보이고 있었다. 우리나라는 특허 점유율 및 특허 영향력 부분에서 주요 5개국 중 4위로 나타났다.

• Korean Journal of Medicinal Crop Science
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• v.27 no.2
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• pp.75-85
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• 2019

Background: Medicinal plants are widely used in Asia. They have proven to be an invaluable asset in modern drug discovery and their demand has been steadily increasing across various industries. Methods and Results: Using 4,867 valid patents related to 12 oriental medicinal plants of 10 country groups, the growth and development potential of patents was evaluated. The cites per patent (CPP) and patent family size (PFS) indices were used to evaluate the market capability and technological level of the collected patents. Meanwhile, the patent impact index (PII) and technology strength (TS) were used to compare the technological competitiveness of patents among various technology types and markets. Both CPP and PFS indices showed that magnolia-vine and balloon flower have numerous core or original patents. Furthermore, an increase in both PII and TS indices was observed. A newly designed intellectual property multi-layer (IPM) model predicted that the medicine, genome and cosmetic categories have a high possibility of patent application growth. Conclusions: The IPM model can be used to provide the scope of particular technology fields for patent development. In addition, this study can assist patents to advance in the international market and guide the development of a national industrial strategy.

• Korean Journal of Agricultural Science
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• v.45 no.1
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• pp.114-119
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• 2018

This study analyzed the trends of patents for unmanned technology used in agriculture. The target countries for this survey of patent data were Korea, the USA and Japan as well as the countries in Europe. The indices used in this study to analyze the patents were the CPP (Cites Per Patent), PII (Patent Impact Index), and PFS (Patent Family Size). The total effective patents for unmanned technology used in agriculture were 1,080 cases. The number of patents in the USA, Japan, Europe, and Korea were 541, 326, 128 and 85 cases, respectively. Among the total effective patents, the evaluation scores for selected important patents were calculated by applying commonly used weights to each index, and the top 10 patents were selected as important patents. The results showed that all the top ten patents are owned by the United States and that the United States is an advanced country in the field of unmanned technology used in agriculture. The evaluation score of the important patents using the existing method was biased toward the PII index among the three patent evaluation standards, and the effects of the number of claims and the PFS were relatively small. Therefore, a reliable patent analysis in the field of unmanned technology used in agriculture needs to reflect the overall evaluation factors taking into consideration the scope of the evaluation factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.66-67
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• 2014

This study is to compare and analyze the technology competitiveness of Big Data sector through patent analysis. According to results of the analysis, the United States is the most active country on the patent activities and its applied and registered patents have multiplied in recent times. However, both CPP(Cited Per Patent) and PII(Patent Impact Index) of the US would have declined, indicating that the growth of technology in the US seems to be biased to quantitative growth of technologies. Korea has been relatively active patent activities with Japan, China and Canada, whereas it has tended to be biased to quantitative growth with the US; Therefore, Korea government needs to concentrate efforts to retain the high quality technologies.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.141-163
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• 2013

As the importance of biotechnology has been increased as a growth engine for country, most countries get focused on securing technological competitiveness in the field of biotechnology. Under the fierce global competition, it is very important to identify technological competitiveness of Korea and our neighboring countries in order to carry out effective research and development. Expert opinion survey such as Delphi is mainly conducted to analyze the technological competitiveness, but the method based on experts' intuition may produce different results depending on survey respondents due to the strong subjective inclination. In this study, the patent registered in US was utilized to analyze the technological competitiveness based on objective data. Targeting countries were Korea, China and Japan which were leading nations in the Northeast Asia. As analytical indexes, NP(Number of Patents), CPP(Cites per Patent), PII(Patent Impact Index), TS(Technology Strength), TI(Technology Independence), PFS(Patent Family Size) were used for analysis. Moreover, the industrial linkage with biotechnology was analyzed by matching IPC code of patents with 44 industries. Based on this analysis, technological convergence and utilization were quantified. The findings can be utilized as basic data when policy is established to improve technological competitiveness in the field of biotechnology.