• Title/Summary/Keyword: 국제특허분류(IPC)

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IPC Code Based Analysis of Technology Convergence of the IoT Patents in South Korea, China, and Japan : Focusing on PCT International Applications (한중일 사물인터넷(IoT) 관련 특허의 IPC 코드 기반 기술융복합 분석 : PCT 국제출원을 중심으로)

  • Shim, Jaeruen
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.7
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    • pp.949-955
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    • 2020
  • In this Study, Social Network Analysis of IoT related patents in South Korea, China, and Japan was conducted from the viewpoint of patent informatics. To this end, 2,526 patents filed by PCT until December 2019 were investigated up to the subclass level of the IPC code. As a result, in the case of South Korea, representative IPC codes are in the order of G06Q, H04L, G06F, H04W, and the highest frequency of interconnection is H04L→H04W, H04W→H04L, H04W→H04B. In China, the representative IPC codes are in the order of H04L, H04W, G05B, G06Q. South Korea has strong technological convergence centered on the G06Q, while China has strong convergence centered around H04L and H04W. Moreover, in China, H04L and H04W have more diverse combinations than in South Korea in Section A, B, G, and H. In the future, it is necessary to study the diversity of technology convergence of H04L and H04W in China.

International Patent Classificaton Using Latent Semantic Indexing (잠재 의미 색인 기법을 이용한 국제 특허 분류)

  • Jin, Hoon-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1294-1297
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    • 2013
  • 본 논문은 기계학습을 통하여 특허문서를 국제 특허 분류(IPC) 기준에 따라 자동으로 분류하는 시스템에 관한 연구로 잠재 의미 색인 기법을 이용하여 분류의 성능을 높일 수 있는 방법을 제안하기 위한 연구이다. 종래 특허문서에 관한 IPC 자동 분류에 관한 연구가 단어 매칭 방식의 색인 기법에 의존해서 이루어진바가 있으나, 현대 기술용어의 발생 속도와 다양성 등을 고려할 때 특허문서들 간의 관련성을 분석하는데 있어서는 단어 자체의 빈도 보다는 용어의 개념에 의한 접근이 보다 효과적일 것이라 판단하여 잠재 의미 색인(LSI) 기법에 의한 분류에 관한 연구를 하게 된 것이다. 실험은 단어 매칭 방식의 색인 기법의 대표적인 자질선택 방법인 정보획득량(IG)과 카이제곱 통계량(CHI)을 이용했을 때의 성능과 잠재 의미 색인 방법을 이용했을 때의 성능을 SVM, kNN 및 Naive Bayes 분류기를 사용하여 분석하고, 그중 가장 성능이 우수하게 나오는 SVM을 사용하여 잠재 의미 색인에서 명사가 해당 용어의 개념적 의미 구조를 구축하는데 기여하는 정도가 어느 정도인지 평가함과 아울러, LSI 기법 이용시 최적의 성능을 나타내는 특이값의 범위를 실험을 통해 비교 분석 하였다. 분석결과 LSI 기법이 단어 매칭 기법(IG, CHI)에 비해 우수한 성능을 보였으며, SVM, Naive Bayes 분류기는 단어 매칭 기법에서는 비슷한 수준을 보였으나, LSI 기법에서는 SVM의 성능이 월등이 우수한 것으로 나왔다. 또한, SVM은 LSI 기법에서 약 3%의 성능 향상을 보였지만 Naive Bayes는 오히려 20%의 성능 저하를 보였다. LSI 기법에서 명사가 잠재적 의미 구조에 미치는 영향은 모든 단어들을 내용어로 한 경우 보다 약 10% 더 향상된 결과를 보여주었고, 특이값의 범위에 따른 성능 분석에 있어서는 30% 수준에 Rank 되는 범위에서 가장 높은 성능의 결과가 나왔다.

Patent Application Research Analysis on Domestic Smart Factory Technology Through SNA (SNA를 통한 국내 스마트공장 기술에 관한 특허 출원 조사 분석)

  • Jae-Hyo Hwang;Ki-Jung Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.267-274
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    • 2024
  • In this paper, we investigated the number of domestic patent applications by year, the number of domestic patent disclosures by year, and the number of domestic registrations by year regarding smart factories. The number of patent applications by applicant type was investigated. Based on the patents studied, it was found that the IPC appearing in the most patents was G05B 19/418. In addition, through social network analysis of smart factory patented IPCs, it was found that G05B 19/418 was the IPC with the highest degree of centrality. From the above, if the IPC of the core technology of the patent submitted for smart factory is G05B 19/418, the technology combined with G05B 23/02, that is, the technology combining "factory control" and "monitoring" is the most patented. When the IPC of the core technology was G06Q 50/04, it was confirmed that the technology combined with G06Q 50/10, that is, the technology combining "manufacturing" and "service" was the most applied for patents. Through this, it was found that in order to apply for a patent for a smart factory, it would be necessary to file a patent application that takes into account the connectivity between IPCs.

A Study on Analysis of Pilates-related Patent Information (필라테스 분야 특허 정보 분석에 관한 연구)

  • Chi, Dong-Cheol;Kim, Jong-Hyuck
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.513-519
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    • 2022
  • The 4th industrial revolution has made our life convenient, and the development of new technologies has brought affluent life. Considering that the 4th industrial revolution is a next-generation industrial revolution led by robot technology, life science, and artificial intelligence, the need for convergence research in sports field stimulated the continuous efforts for the academic foundation of sports. Recently, as interest in home training has increased due to the COVID-19 pandemic, the Pilates has also attracted much attentions demand for related supplies has increased. This is an demonstration that COVID-19 has had an impact on the sports industry ecosystem. The purpose of this study was, accordingly, to identify current trends through accurate patent information related to Pilates and to provide basic data for future studies on sports convergence industry and sports intellectual property. For the purpose, based on the data from Jan. 1 to Dec. 31, 2021 provided by KIPRIS (www.kipris.or.kr), the patent information search service provided by the Korean Intellectual Property Office, patent status analysis, international patent classification (IPC) patent analysis, and detailed patent analysis by classification were performed.

Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data (논문 및 특허 데이터를 활용한 전기자동차 기술 동향 예측 연구)

  • Gu, Ja-Wook;Lee, Jong-Ho;Chung, Myoung-Sug;Lee, Joo-yeoun
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.165-172
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    • 2017
  • In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.

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
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    • v.50 no.1
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    • pp.21-33
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    • 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.

Analysis of Core Patent and Technology of Unmanned Ground Technology Using an Analytical Method of the Patent Information (특허정보 분석 방법을 이용한 지상무인화 기술 분야 핵심 특허 및 기술 분석)

  • Park, Jae Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.5
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    • pp.189-194
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    • 2018
  • Unmanned technology is a representative technology that integrates various technologies like electric, electronic, mechanical, artificial intelligence, ICT technology, ect. In special emphasize, ground technology has been developing exponentially in the military field and expanding its utilization area. The patent information analysis method presented in this study, proposes a new patent analysis methodology for patent information analysis and patent information on unmanned ground technology. The patent information analysis processor has 6 levels to extract core patents and technologies. The process consists of: selection of technology to be analyzed, classification of detailed technology / key keyword selection, patent information collection / noise reduction, selection of patent information analysis method, patent information analysis, finally, core patents and key technologies that are extracted. Patent information on unmanned ground technology is also analyzed in this study. First, the technical classification of ground unmanned technology is carried out in detail. The core technology and core patents of ground unmanned technology were extracted through CPP and IPC code connectivity analysis. The results of patent information analysis using proposed patent information analysis method that can be applied to various fields of technology and analysis. These can be used as a material to forecast the direction of future research and development on the technology to be analyzed.

Analysis of Research Trends and Technological Position of PMP Using Patent Information (특허정보를 통한 PMP 연구동향과 기술경쟁력 분석)

  • Park, Hyun-Woo;Kim, Ki-Il
    • The Journal of the Korea Contents Association
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    • v.7 no.9
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    • pp.117-126
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    • 2007
  • The purpose of this paper is to analyze the trends of technological development in the field of portable multimedia player (PMP) through patent information of major countries, and evaluate the technological Position of PMP. In the first place, we will carry out a quantitative analysis in terms of the annual trend of patent applications in the field of PMP, the technological position of PMP through portfolio analysis, the share of patents by applicant, the worldwide innovation leader of major countries, and the patent trend by IPC. Secondly, we will measure the technological level of PMP using indicators including cites per patent (CPP), science linkage (SL), and patent family size (PFS). Finally, we will evaluate the directions of research or technology development and the technological competitiveness of major countries. This evaluation could give us some useful policy implications on the strategy of R&D in PMP.

Analysis Study on Patent for Scan-to-BIM Related Technology (Scan-to-BIM 관련기술 특허동향 분석연구)

  • Ryu, Jeong-Won;Byun, Na-Hyang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.107-114
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    • 2020
  • Technologies related scan-to-BIM for BIM-based reverse engineering techniques are beginning to be actively introduced in the A.E.C. industry, and the scalability of the technology is growing considerably. This study uses patent analysis based on objective data to find the right direction for Korean Scan-to-BIM technology by identifying the trends in Korea, the United States, Europe, and Japan. This was done using the WIPSON patent search system to find previous research on patent analysis related to building technology, theoretical consideration of scan-to-BIM technology, and published patents. We collected information, verified the process, and extracted valid patents. We used the effective patent data to analyze the annual trend of patent applications, national trends, and technological trends through the International Patent Classification (IPC) code, the types of the top 20 major applicants, and family patent trends.

Analyzing Technology Competitiveness by Country in the Semiconductor Cleaning Equipment Sector Using Quantitative Indices and Co-Classification Network (특허의 정량적 지표와 동시분류 네트워크를 활용한 반도체 세정장비 분야 국가별 기술경쟁력 분석)

  • Yoon, Seok Hoon;Ji, Ilyong
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.85-93
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    • 2019
  • Despite its matchless position in the global semiconductor industry, Korea has not distinguished itself in the semiconductor equipment sector. Semiconductor cleaning equipment is one of the semiconductor fabrication equipment, and it is expected to be more important along with the advancement of semiconductor fabrication processes. This study attempts to analyze technology competitiveness of major countries in the sector including Korea, and explore specialty sub-areas of the countries. For this purpose, we collected patents of semiconductor cleaning equipment during the last 10 years from the US patent database, and implemented quantitative patent analysis and co-classification network analysis. The result shows that, the US and Japan have been leading the technological progress in this sector, and Korea's competitiveness has lagged behind not only the leading countries but also its competitors and even latecomers. Therefore, intensive R&D and developing technological capabilities are needed for advancing the country's competitiveness in the sector.