• Title/Summary/Keyword: Patents trends

Search Result 232, Processing Time 0.024 seconds

Patent Trend Analysis of Carbon Capture/Storage/Utilization Technology (이산화탄소 포집/저장/활용 기술 특허 동향 분석)

  • Bae, Junhee;Seo, Hangyeol;Ahn, Eunyoung;Lee, Jaewook
    • Economic and Environmental Geology
    • /
    • v.50 no.5
    • /
    • pp.389-400
    • /
    • 2017
  • In December 2015, 195 nations agreed to cut green house gas emissions in the Paris Climate Convention, and all over the world showed their willingness to participate in greenhouse gas mitigation. Accordingly, various technologies related to greenhouse gas reduction are being considered, among which carbon dioxide capture, storage, utilization (CCUS) technologies are attracting attention as an unique technology capable of directly removing greenhouse gases. However, CCUS technologies are still costly and have low efficiency. It is still more important to analyze the level of CCUS technology before commercialization and to understand trends and to predict future direction of technology. Therefore, this study analyzes the patent trends of CCUS technology and derives implications for future directions. As a result of country analysis, the United States had the highest number of applications, and sectoral analysis shows that 64% of total patents are from capture sector. Companies such as Alstom technology, Toshiba Corp, and Mitsubishi Heavy are focusing on capturing carbon dioxide. In Korea, government research institutes have focused on storage and utilization technologies. In addition, since the late 2000s, patent applications have increased rapidly, and many countries have been interested in the development of the technology and have made efforts to reduce greenhouse gas.

A study on trends and predictions through analysis of linkage analysis based on big data between autonomous driving and spatial information (자율주행과 공간정보의 빅데이터 기반 연계성 분석을 통한 동향 및 예측에 관한 연구)

  • Cho, Kuk;Lee, Jong-Min;Kim, Jong Seo;Min, Guy Sik
    • Journal of Cadastre & Land InformatiX
    • /
    • v.50 no.2
    • /
    • pp.101-115
    • /
    • 2020
  • In this paper, big data analysis method was used to find out global trends in autonomous driving and to derive activate spatial information services. The applied big data was used in conjunction with news articles and patent document in order to analysis trend in news article and patents document data in spatial information. In this paper, big data was created and key words were extracted by using LDA (Latent Dirichlet Allocation) based on the topic model in major news on autonomous driving. In addition, Analysis of spatial information and connectivity, global technology trend analysis, and trend analysis and prediction in the spatial information field were conducted by using WordNet applied based on key words of patent information. This paper was proposed a big data analysis method for predicting a trend and future through the analysis of the connection between the autonomous driving field and spatial information. In future, as a global trend of spatial information in autonomous driving, platform alliances, business partnerships, mergers and acquisitions, joint venture establishment, standardization and technology development were derived through big data analysis.

Exploring Potential Application Industry for Fintech Technology by Expanding its Terminology: Network Analysis and Topic Modelling Approach (용어 확장을 통한 핀테크 기술 적용가능 산업의 탐색 :네트워크 분석 및 토픽 모델링 접근)

  • Park, Mingyu;Jeon, Byeongmin;Kim, Jongwoo;Geum, Youngjung
    • The Journal of Society for e-Business Studies
    • /
    • v.26 no.1
    • /
    • pp.1-28
    • /
    • 2021
  • FinTech has been discussed as an important business area towards technology-driven financial innovation. The term fintech is a combination of finance and technology, which means ICT technology currently associated with all finance areas. The popularity of the fintech industry has significantly increased over time, with full investment and support for numerous startups. Therefore, both academia and practice tried to analyze the trend of the fintech area. Despite the fact, however, previous research has limitations in terms of collecting relevant databases for fintech and identifying proper application areas. In response, this study proposed a new method for analyzing the trend of Fintech fields by expanding Fintech's terminology and using network analysis and topic modeling. A new Fintech terminology list was created and a total of 18,341 patents were collected from USPTO for 10 years. The co-classification analysis and network analysis was conducted to identify the technological trends of patent classification. In addition, topic modeling was conducted to identify the trends of fintech in order to analyze the contents of fintech. This study is expected to help both managers and investors who want to be involved in technology-driven financial services seize new FinTech technology opportunities.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.3
    • /
    • pp.67-88
    • /
    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

A study on the Job Analysis and Curriculum Development of Technical Information Searcher with DACUM (기술정보검색사의 직무분석 및 교육과정 개발에 관한 연구)

  • Noh, Dong-Jo
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.15 no.1
    • /
    • pp.177-191
    • /
    • 2004
  • According to the shift from industrial society to knowledge-based society, prompt acquisition, organization, and analysis of technical information at a variety of industrial organizations are becoming more important than before. Education for professionals in acquisition and management of technical information should be accomplished systematically, and connected with in-service training. The purpose of this study is to develop curriculum of information professionals from the analysis of the tasks of technical information searchers using DACUM methods. The results of this study is as follows: First, professional technical information searcher's tasks are divided into 6 categories and these are also divided into 40 sub-categories. Second, selection of information sources are the most important tasks in education. And last, major educational areas should include planning and development of databases, practice of OA applied programs, practice of PC communications, analysis of trends information, classification and practice of Internet, practice of interview, information architecture, information retrieval, understanding and practice of information sources, patents management, and planning and development of home pages.

  • PDF

Factors Impacting Public Technology Transfer and Commercialization and Its Strategy for R&D Management (공공기술이전·사업화 영향요인 및 연구개발 관리전략)

  • Sung, Oong-Hyun;Moon, Hye-Jung;Kang, Hun
    • Journal of Korea Technology Innovation Society
    • /
    • v.18 no.3
    • /
    • pp.468-491
    • /
    • 2015
  • The major objective of this research is to suggest the proactive strategy and management of public R&D for the active transfer of technology based on the influential factor analysis of technology transfer. This study identified influential factors which make the greatest impact on the success of public technology transfer and commercialization through three points of view-technology supplier's view, technology adopter's view and view of commercialization-which contribute to successful technology transfer and commercialization. The core influential variables for blocking technology transfer are identified such as additional technological development, search for technology adopter followed by mass production technology and testing of confidence. Technology adopter is to create new markets or expand existing markets through the superiority (innovation) of licensing technology, increasing the internal innovation capabilities and maximizing the impacts of technology. This research suggests two effective strategies for improving technology transfer such as technology planning and marketing in the view of technology license. The strategy of technology planning should be established and executed to meet both technology trends and adopter's needs. And strong patents should be secured in terms of licensing of technology. Also the technological performance should be evaluated at mid-term appraisal, confirming the needs of adopter and competitive advantage of technology and patent. In addition to this, the customized technology marketing strategy for different fields of applications is also required in order to improve the likelihood of technology transfer. If the performance of R&D organization could be evaluated by global technological competitiveness and spillover effects of commercialization rather than quantitative output, the flow of technology transfer and commercialization would be accelerated.

Present and Future of Thermoplastic Elastomers As Environmentally Friendly Organic Materials (친환경 유기 소재로서 열가소성 탄성체의 오늘과 내일)

  • Choi, Eun-Ji;Yoon, Ji-Hwan;Jo, Jung-Kyu;Shim, Sang-Eun;Yun, Ju-Ho;Kim, Il
    • Elastomers and Composites
    • /
    • v.45 no.3
    • /
    • pp.170-187
    • /
    • 2010
  • Much interest on the thermoplastic elastomers (TPEs) has recently been attracted in commercial fields as well as scientific and applied researches. The TPEs have their own characteristic area especially in relation with block copolymers as well as many other polymeric materials, since they show interesting features displayed by the conventional vulcanized rubber, and at the same time, by the thermoplastics. In addition, they are characterized by a set of interesting properties inherent to block and graft copolymers, variety of blends and vulcanized materials. The importance of TPE as organic materials can be evaluated by the number of published reports (papers, patents, technical reports, etc). The input of the concept 'thermoplastic elastomer' to SciFinderScholar yields 18,508 results between 1939 and July 10, 2010, and the number increased exponentially after the mid of 1990. For the suitable introduction of the TPE, historic, scientific, technical and commercial considerations should be taken into account. This review article starts with a brief discussion on historical considerations, followed by a introduction of the main preparations and analytical techniques utilized in chemical, structural, and morphological studies. The properties, processing tools, the position among organic materials, and applications of TPEs are also briefly reviewed. Finally, the most probable trends of their future development are discussed in a short final remarks.

Analysis of Technology Association Rules Between CPC Codes of the 'Internet of Things(IoT)' Patent (CPC 코드 기반 사물인터넷(IoT) 특허의 기술 연관성 규칙 분석)

  • Shim, Jaeruen
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.12 no.5
    • /
    • pp.493-498
    • /
    • 2019
  • This study deals with the analysis of the technology association rules between CPC codes of the Internet of Things(IoT) patent, the core of the Fourth Industrial Revolution ICT-based technology. The association rules between CPC codes were extracted using R, an open source for data mining. To this end, we analyzed 369 of the 605 patents related to the Internet of Things filed with the Patent Office until July 2019, with a complex CPC code, up to the subclass-level. As a result of the technology association rules, CPC codes with high support were [H04W ${\rightarrow}$ H04L](18.2%), [H04L ${\rightarrow}$ H04W](18.2%), [G06Q ${\rightarrow}$ H04L](17.3%), [H04L ${\rightarrow}$ G06Q](17.3%), [H04W ${\rightarrow}$ G06Q](9.8%), [G06Q ${\rightarrow}$ H04W](9.8%), [G06F ${\rightarrow}$ H04L](7.9%), [H04L ${\rightarrow}$ G06F](7.9%), [G06F ${\rightarrow}$ G06Q](6.2%), [G06Q ${\rightarrow}$ G06F](6.2%). After analyzing the technology interconnection network, the core CPC codes related to technology association rules are G06Q and H04L. The results of this study can be used to predict future patent trends.

Technology Convergence & Trend Analysis of Biohealth Industry in 5 Countries : Using patent co-classification analysis and text mining (5개국 바이오헬스 산업의 기술융합과 트렌드 분석 : 특허 동시분류분석과 텍스트마이닝을 활용하여)

  • Park, Soo-Hyun;Yun, Young-Mi;Kim, Ho-Yong;Kim, Jae-Soo
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.4
    • /
    • pp.9-21
    • /
    • 2021
  • The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

A Study on Trend of Technology Development for Part Localization of Weapon System through Patent Information (특허정보를 이용한 무기체계 부품국산화 개발기술 동향조사 및 분석)

  • Kim, Sung-Kyu;Choi, Chung-Seok;Choi, Yoon-Hyeok;Kim, Jin-Ha
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.6
    • /
    • pp.524-533
    • /
    • 2021
  • Recently, due to the increasing necessity of developing core parts for weapons systems, the project for localization of parts for weapons systems is expanding. In order to apply the developed core parts to the domestic weapon system and advance into the overseas market, it is necessary to plan a project that reflects the technology trends in advance. This study derived trend of technology development through conducting the patent research and analysis. Also, suggested plan for applying the analysis results when project planning and selecting. As a detailed method, patents related to the 2019 year selection project were investigated. The number of patent applications by year and number of applicants from the time of the first application to the present were analyzed. And the growth stage of the technology market was derived. The comprehensive result was derieved through the portfolio analysis by arranging the parts localization technology in each area of the matrix consisting of market growth stage and the criteria for the selection of parts localization project. This research suggested the applying plan for improving project selection process. we expect the promotion of defense industry and the effective task planning.