• Title/Summary/Keyword: Patent technology

Search Result 1,115, Processing Time 0.023 seconds

Analysis of Factors Influencing Patent Citations (특허 인용에 영향을 미치는 요인 분석)

  • Yoo, Jae-Bok;Chung, Young-Mee
    • Journal of the Korean Society for information Management
    • /
    • v.27 no.1
    • /
    • pp.103-118
    • /
    • 2010
  • Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

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
    • /
    • v.15 no.4
    • /
    • pp.41-49
    • /
    • 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 Trend of Technology for the Treatment of Oil from Oilsands by Patent Analysis (오일샌드 오일 처리기술의 특허분석에 의한 기술동향 연구)

  • Park, Kun-Yik;Han, Sam-Duck;Han, Hye-Jung;Kang, Kyung-Seok;Bae, Wi-Sup;Rhee, Young-Woo
    • Clean Technology
    • /
    • v.15 no.3
    • /
    • pp.210-223
    • /
    • 2009
  • As a kind of an energy source to replace petroleum, the importance of oilsands is being emphasized as time goes on. In this paper, the trend of technology for the treatment of oil from oilsands was scrutinized using the patent analysis. The patents analyzed here were limited to them issued from 1973 to 2009. The technology trend of oil treatment of oilsands was analyzed by classifying each patent based on the year of publication, the country, the type of technology, and the major applicant of the patent.

A Study on the Improvement of the Defense-related International Patent Classification using Patent Mining (특허 마이닝을 이용한 국방관련 국제특허분류 개선 방안 연구)

  • Kim, Kyung-Soo;Cho, Nam-Wook
    • Journal of Korean Society for Quality Management
    • /
    • v.50 no.1
    • /
    • pp.21-33
    • /
    • 2022
  • Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

Patent citation network analysis (특허 인용 네트워크 분석)

  • Lee, Minjung;Kim, Yongdai;Jang, Woncheol
    • The Korean Journal of Applied Statistics
    • /
    • v.29 no.4
    • /
    • pp.613-625
    • /
    • 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.

Technical Analysis of Unmaned Aircraft System using Revealed Patent Advantage and Patent Impact Index (현시특허우위지수와 특허영향력지수를 활용한 무인항공기 기술경쟁력 분석)

  • Park, Seung;Hong, Sung-Dae;Hong, Hyun-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.11 no.8
    • /
    • pp.2835-2839
    • /
    • 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.

Patent Trend of Unmanned and Automated Agricultural Production - Open Field Operation -

  • Kim, YongJoo;Chung, SunOk;Lee, ChoongHan;Lee, DaeHyun;Lee, KyeongHwan
    • Agribusiness and Information Management
    • /
    • v.6 no.1
    • /
    • pp.30-36
    • /
    • 2014
  • This study was conducted to determine the major patent and analyze the patent trend of unmanned and automated agricultural production for the open field operation. As a result of conducting a search for patent applications related to these technologies, 1,080 valid patents were selected by evaluating the relevance of the patents and removing noise patents. As a result of the country-based analysis using the selected valid patents, it was found out that the largest number of patent applications were filed in the United States with 541 cases, followed by Japan with 326 cases, the European Union with 128 cases, and Korea with 85 cases. Upon classifying the valid patents into core technology, the path generation and tracking technology accounts for 33% with 353 cases; the implementing control with environmental condition technology accounts for 22% with 236 cases; the robot design technology accounts for 21% with 228 cases; the plant and environment sensing technology accounts for 19% with 206 cases; the yield and quality monitoring technology accounts for 5% with 58 cases. Finally, 10 core patents were selected by performing a patent index evaluation. The United States registered all of the 10 core patents. The results showed that Korea falls behind in the open field-related unmanned and automated agricultural production, compared to other developed agricultural countries.