• Title/Summary/Keyword: Trend of Patent

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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.

Analysis of Technical Trend of Electric Agricultural Field Machinery

  • Kim, Yong Joo;Kim, Wan Su;Chung, Sun Ok;Lee, Dae Hyun
    • Agribusiness and Information Management
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    • v.6 no.2
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    • pp.40-48
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    • 2014
  • As basic research to develop HEV and EV agricultural field machinery, the present study analyzes the technical trend of electric agricultural field machinery through product analysis, paper analysis, and patent analysis concerning HEV and EV in the automobile, construction machinery, and agricultural machinery sectors. For product analysis, the homepages of companies in these sectors were consulted to analyze the number of products of each company. For paper analysis, key words related to HEV and EV were selected, a search formula was drawn up, and articles search sites were consulted. And for patent analysis too, key words were selected and then a search formula was drawn up to examine published patent applications or registered patent applications, and trends were analyzed by structure, country, and year. The number of HEV and EV products were 17 in the automobile area, 8 in construction machinery, and 4 in agricultural machinery. Notably, in the agricultural machinery area, all HEV and EV products were from advanced companies overseas. In terms of papers, papers published in the past 5 years were searched and 33,195 papers were from the automobile area, 3,806 were from construction machinery, and 2,687, the fewest papers, were from the agricultural machinery area. A search of patents in the electric drive technology area in Korea, USA, and Japan, and Europe showed 1,927 valid patents, with 1,120 in Japan, 497 in USA, 193 in Korea, and 117 in Europe. Analysis of the trend of research on electric agricultural field machinery by product, paper, and patent shows the development of HEV and EV technology in Korea is insufficient compared to USA, Japan, and Europe, which means rapid technological development is needed.

Survey of Intellectual Property Rights in the Ergonomics Field in Korea

  • Park, Jemo;Hwang, Jung Bo;Jung, Hwa Shik
    • Journal of the Ergonomics Society of Korea
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    • v.34 no.5
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    • pp.487-499
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    • 2015
  • Objective: The purpose of this study was to analyze the trend of ergonomics field in overall intellectual property rights in Korea, and suggest the direction for the future development. Background: Many ergonomists are trying to pursue optimal human well-being and safety, and create more convenient designs for human use. For these reasons, intellectual property rights may be used to protect the legitimate rights of originative and innovative ergonomic designs. Method: Intellectual property rights were reviewed by using Korea Intellectual Property Rights Information Service (KIPRIS), and then were classified and analyzed according to three intellectual property rights (patent, utility model, design), International Patent Classification (IPC) and ergonomics application areas. Results: The total number of intellectual property rights registered in the ergonomics field in terms of three intellectual property rights (patent, utility model, design) showed 48,814 which occupied 5.97% of the total registered Korea's intellectual property rights. Within three intellectual property rights, patent (87%) was recorded overwhelmingly higher than utility model (9%) and design (4%). Conclusion: The current trend of patent, utility model and design in the ergonomics field in Korea tend to increase over time. It is suggested based on the analysis in this study that continuing research and development should be focused on electricity section in accordance with the global trend. Application: The results of this study can direct the ergonomists to the areas of intellectual property rights in the ergonomics field that should focus on the research and development in terms of three intellectual property rights, IPC and ergonomics application areas.

Patent Analysis and Trend Report for liquid Crystal Display (국내 액정 디스플레이(LCD:Liquid Crystal Display)에 관한 특허 분석 및 동향)

  • Jeong, In-Seong;Choi, Hyun-Jae
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.06a
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    • pp.62-62
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    • 2007
  • It is analyzed with regard to LCD in Korea that national patent application, applicant patent application, IPC patent application. The Trends of patent application concentrated LCD manufacturing process and device, case and a cell of liquid crystal. Therefore, the future research and developments must be centralized these ranges. It is needed for competitive power and original technology that the search and analysis of the previous patent.

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Trend of Photo-Electrochemical Hydrogen Production Technology (광전기화학적 수소제조 기술 동향분석)

  • Han, Hye-Jung;Kang, Kyung-Seok;Baeg, Jin-Ook;Moon, Sang-Jin;Kim, Jong-Wook
    • Journal of Hydrogen and New Energy
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    • v.22 no.5
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    • pp.741-748
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    • 2011
  • Hydrogen is clean and renewable, and recognized as a very promising energy resource to solve both depletion of petroleum and environmental problems caused by the use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, the technology trend of photo-electrochemical (PEC) hydrogen production was scrutinized based on the patent and paper analysis. Open/registered patents of US, JP, EP, and KR and SCI Journals related to the PEC hydrogen production technology between 1996~2010 were reviewed. Patents and papers were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend was discussed by classifying each patent and paper based on the publishing year, country, and organization, and analyzing the core patents and papers.

A Novel Classification Model for Efficient Patent Information Research (효율적인 특허정보 조사를 위한 분류 모형)

  • Kim, Youngho;Park, Sangsung;Jang, Dongsik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.4
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    • pp.103-110
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    • 2019
  • A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

The Analysis of Patent Trends and Radiation Convergence Technology (방사선 융합기술과 특허 동향 분석)

  • Park, Jang-Hoon;Ock, Young Seok
    • Journal of the Korean Society of Radiology
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    • v.13 no.5
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    • pp.785-790
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    • 2019
  • Convergence and advancement between technologies such as Artificial Intelligence, Big Data, and the Internet of Things have a significant impact on the regional flagship industry. All technical fields are used as a converged technology by connecting between technology and industry. In order to understanding the recent technical trend, it is possible to easily realized the technical trend research and analysis through keyword search using patent information. The purpose of this study is to identify patent trends applied to convergence technology in the 4th Industrial Revolution age in radiation technology development and to present patent trends and analysis for strengthening and utilizing radiation-related industrial technology competitiveness and to apply them to demand technology and forecast future promising technologies.

Patents Map on the Desalination Technology Using Solar Energy (태양에너지를 이용한 해수담수화 기술관련 특허 분석)

  • Im, Eun-Jung;Kim, Sung-Hyun
    • New & Renewable Energy
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    • v.8 no.1
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    • pp.35-43
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    • 2012
  • Patent analysis is the extracting knowledge which is needed for the company's research and development strategy through accumulated worldwide patent database. In order to set the future direction corresponding technology which is scheduled to be developed, the technology trends and deployment processes are identified by analyzing results of present patent applications. The patent analysis provides the required results for analyzing present patent applications. In this paper, technology classification for related patent analysis methods and system, and patent analysis for desalination technology using solar energy development was carried out as well. The patents in Korea, USA, Japan, China, and Europe were searched. The technology trend desalination technology using solar energy was analyzed based on patent application year, countries, main applications, and each technologies. The application status of desalination patents showed a tendency to increase slightly. It was found that the number of patent for applied desalination was USA patent 21.0%, Japan patent 27.0%, China 24.8%, EU 2.7% and Korea patent 24.5%, respectively.

A Study on the Statistical Analysis of Korea Patent Information (한국특허정보의 통계분석에 관한 연구)

  • Uhm, Dai-Ho;Chang, Young-Bae;Jeong, Eui-Seop
    • Journal of Information Management
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    • v.41 no.3
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    • pp.27-44
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    • 2010
  • Most research about patent data analyzes the trend of technologies using a Patent Map(PM), and suggests the frequencies and trend of patents in a certain topic using tables or graphs in Excel. However, more advanced analysis tools are recently needed to compare the trends among national and international industries. This research discussed why statistical analysis is needed to improve the reliability in PM analysis, and the research compares the trends of patents in Korea between 1990 and 2004 by years, International Patent Classification(IPC) sections, and countries using the frequencies and Poisson regression model. The statistical analysis is also suggested and applied to R&D studies.

A Patent Trend Analysis for Technological Convergence of IoT and Wearables (IoT와 Wearables 기술융합을 위한 특허동향분석)

  • Kang, Ji Ho;Kim, Jong Chan;Lee, Jun Hyuck;Park, Sang Sung;Jang, Dong Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.306-311
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    • 2015
  • This study aims at analyzing the convergence of Internet-of-Things and wearables technologies using cooperative patent classification(CPC). CPC, introduced to an increasing number of technological fields of Korean patents, is expected to be widely used in Patent Informatics because the classification codes in CPC are more specific than those of IPC, which reflect the characteristics of technologies in detail with accuracy. CPC has seldom been used up to date and most of the previous researches on technological convergence used IPC. As a pre-analysis step for analyzing the trend of technological convergence of IoT and wearables, CPC and IPC codes assigned to each patent were compared. By applying association rule mining to the analysis of CPC codes, we identified the technological fields where convergence frequently takes place and examined the trend of technological convergence over time.