• Title/Summary/Keyword: 로드맵. 특허 분석

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Technology Planning through Technology Roadmap: Application of Patent Citation Network (기술로드맵을 통한 기술기획: 특허인용네트워크의 활용)

  • Jeong, Yu-Jin;Yoon, Byung-Un
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5227-5237
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    • 2011
  • Technology roadmap is a powerful tool that considers relationships of technology, product and market and referred as a supporting technology strategy and planning. There are numerous studies that have attempted to develop technology roadmap and case studies on specific technology areas. However, a number of studies have been dependant on brainstorming and discussion of expert group, delphi technique as qualitative analysis rather than systemic and quantitative analysis. To overcome the limitation, patent analysis considered as quite quantitative analysis is employed in this paper. Therefore, this paper proposes new technology roadmapping based on patent citation network considering technology life cycle and suggests planning for undeveloped technology but considered as promising. At first, patent data and citation information are collected and patent citation network is developed on the basis of collected patent information. Secondly, we investigate a stage of technology in the life cycle by considering patent application year and the technology life cycle, and duration of technology development is estimated. In addition, subsequent technologies are grouped as nodes of a super-level technology to show the evolution of the technology for the period. Finally, a technology roadmap is drawn by linking these technology nodes in a technology layer and estimating the duration of development time. Based on technology roadmap, technology planning is conducted to identify undeveloped technology through text mining and this paper suggests characteristics of technology that needs to be developed in the future. In order to illustrate the process of the proposed approach, technology for hydrogen storage is selected in this paper.

Forecasting of Green Technologies on Intelligent Transportation System using Patent Analysis (특허 분석을 활용한 ITS 녹색 기술 예측)

  • Lee, Joo-Hyeon;Lee, Chul-Ung
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.233-241
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    • 2014
  • In this paper, it predicts green technology in the future with "Co-word" which is patent analysis, "technology road-map, life cycle graph of patent activation and trend analysis. Analysis result shows that it would help environment preservation because development of ITS green technology makes carbon emission effectiveness and ITS green technology is especially expected to develop in fuel saving field. In addition, fuel saving field is predicted to be advance more practically technology field with convergence with IT.

An Empirical Study on Predictive Modeling to enhance the Product-Technical Roadmap (제품-기술로드맵 개발을 강화하기 위한 예측모델링에 관한 실증 연구)

  • Park, Kigon;Kim, YoungJun
    • Journal of Technology Innovation
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    • v.29 no.4
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    • pp.1-30
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    • 2021
  • Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.

A study on making strategies for securing essential patent of standard in ICT (기술개발 기획 기반의 정보통신 표준화 로드맵 체계 수립)

  • Min, Jae-hong;Cho, Pyung-Dong;Hahm, Jin-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.487-490
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    • 2012
  • Under the situation of the world becoming a unified global economy, our country should make efforts to get standard patents as well as to take out essential patents in order to maintain the competitiveness against advanced country. In recent years, R&D related standardization is very important. Besides, R&D planning considering standardization becomes more important than ever before. Therefore, this treatise is designed to lay infrastructure on promoting international standardization through suggesting a effective standardization planning framework based on R&D planning and analyzing cases regarding R&D planning and standardization planning.

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FinTech Security Technology Roadmap Based on Patent Analysis and Fintech Security Market Trend Analysis (특허분석을 통한 핀테크 보안 기술로드맵 수립과 시장 추이분석)

  • Ahn, Jungjin;Choi, Eunmi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.843-846
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    • 2015
  • 모바일 시장의 급경한 성장세와 기존의 복잡한 결제방식 절차 간소화에 대한 사용자 요구의 증가는 ICT 기반 금융산업에서 최신 기술과 융합된 핀테크 기술을 등장시켰다. 핀테크에 대한 관심도가 높아짐에 따라 핀테크 기업에 대한 투자규모, 핀테크 기업 수, 핀테크를 기반으로 한 모바일 결제의 세계시장 규모가 빠른 속도로 증가하고 있다. 이에 핀테크 기업이 서비스를 함에 있어서 하나의 운영 요소로 취급되던 보안 기능이 보안을 위한 처리 기술 자체로 하나의 서비스 유형으로 부각되기 시작했으며, 핀테크 내 보안 분야에 대한 시장규모의 비중, 업체 수는 꾸준히 증가할 것으로 보인다. 본 논문은 이러한 추세에 맞춰 핀테크 보안에 대한 기술로드맵을 수립하여 기술의 추세를 전망하였으며 시장 추이 분석을 하였다.

Development of a Technical Road Map for Future Research in Wind Power Generation using Grading Criteria as a Rubric for Research Focus (풍력 발전에서 미래 연구를 위한 연구 집중으로서 등급 기준을 이용한 기술 로드맵 개발)

  • Park, Jong-Kyu;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.3
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    • pp.417-423
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    • 2011
  • Generally, in order to avoid overlap with previous research and to initiate the innovative research, researchers must analyze patent information before research can begin. In this paper, the development of grading criteria using current trends in the wind power generation will be performed by analyzing the following criteria: technology position of major countries, impact factor each countries, patent family size, patent portfolios analysis, patent applied analysis, and analysis of nationality for a patent. This patent information for the wind power generation is expected to be useful in deciding the direction of future research.

Technology Development Strategy of Piggyback Transportation System Using Topic Modeling Based on LDA Algorithm

  • Jun, Sung-Chan;Han, Seong-Ho;Kim, Sang-Baek
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.261-270
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    • 2020
  • In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.

An SAO-based Text Mining Approach for Technology Roadmapping Using Patent Information (기술로드맵핑을 위한 특허정보의 SAO기반 텍스트 마이닝 접근 방법)

  • Choi, Sung-Chul;Kim, Hong-Bin;Yoon, Jang-Hyeok
    • Journal of Technology Innovation
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    • v.20 no.1
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    • pp.199-234
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    • 2012
  • Technology roadmaps (TRMs) are considered to be the essential tool for strategic technology planning and management. Recently, rapidly evolving technological trends and severe technological competition are making TRM more important than ever before. That is because TRM plays a role of "map" that align organizational objectives with their relevant technologies. However, constructing and managing TRMs are costly and time-consuming because they rely on the qualitative and intuitive knowledge of human experts. Therefore, enhancing the productivity of developing TRMs is one of the major concerns in technology planning. In this regard, this paper proposes a technology roadmapping approach based on function of which concept includes objectives, structures and effects of a technology and which are represented as Subject-Action-Object structures extractable by exploiting natural language processing of patent text. We expect that the proposed method will broaden experts' technological horizons in the technology planning process and will help to construct TRMs efficiently with the reduced time and costs.

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Discovering locally customized and future promising industries using patent analysis : Centered on the Case of Busan city (특허 분석을 통한 지역맞춤형 미래유망산업 발굴 및 도출에 관한 연구 : 부산 지역 사례를 중심으로)

  • Kim, Hyun-Woo;Shim, We;Kwon, Oh-Jin;Noh, Kyung-Ran
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.129-138
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    • 2017
  • The aim of this paper is to suggest methodology for local governments when discovering locally customized future promising industries with regard to policies of central government, regional competencies, and industrial promising. Firstly, key industries by region specified in '5-years regional industrial development master plan(2014)' were utilized. Secondly, science and technology competency by region was calculated with analyzing patent data in each key industries. Thirdly, industrial promising was verified by calculating Knowledge Stock and Activity Index based on measuring industry-IPC linkage. Based on the methodology proposed above, case study(case of Busan city) was done. Finally, 7 core industries and 94 candidates of future promising industries were extracted on the basis of 5 digit of KSIC subdivision. The methodology is expected to contribute local governments to establish evidence-based, efficient, and future-oriented local R&D roadmapping.

Hydrogen Fuel Cell Patent Analysis: Using Knowledge Persistence-based Main Path Analysis and Text Mining (수소연료전지 특허 동향 분석: 지식 지속성 기반 주경로 분석 및 텍스트 마이닝 방법 활용)

  • Sejun Yoon;Hyunseok Park
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.127-145
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    • 2023
  • This paper analyzed a patent trend for technological domain of hydrogen fuel cell, can improve future energy and pollution problems. Patent analysis is used in establishing a technological roadmap which it can discover the current technology capability and future technological development direction. However, the previous patent analysis is qualitative analysis and simple statistical analysis. The reason why it incorrectly analysis patent does not reflect the current technology environment. The current technology environment is development through recombination of technologies. In addition to, the speed of technological development is rapidly growing. So, qualitative analysis does not satisfy the analysis requirements of the times. This paper utilized KP(Knowledge Persistence)-based main path analysis and text mining methods to reflect the current technological environment. As a result, we found core patents, main technology development, and promising technologies for technological domain of the hydrogen fuel cell.