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Analysis of Defense Communication-Electronics Technologies using Data Mining Technique (데이터 마이닝 기법을 이용한 군 통신·전자 분야 기술 분석)

  • Baek, Seong-Ho;Kang, Seok-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.6
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    • pp.687-699
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    • 2020
  • The government-led top-down development approach for weapons system faces the problem of technological obsolescence now that technology has rapidly grown. As a result, the government has gradually expanded the corporate-led bottom-up project implementation method to the defense industry. The key success factor of the bottom-up project implementation is the ability of defense companies to plan their technologies. This paper presented a method of analyzing patent data through data mining technique so that domestic defense companies can utilize it for technology planning activities. The main content is to propose corporate selection techniques corresponding to the defense communication-electronics sectors and conduct principal component analysis and cluster analysis for the International Patent Classification. Through this, the technology was classified into four groups based on the patents of nine companies and the representative enterprises of each group were derived.

Research on the Development Direction of Language Model-based Generative Artificial Intelligence through Patent Trend Analysis (특허 동향 분석을 통한 언어 모델 기반 생성형 인공지능 발전 방향 연구)

  • Daehee Kim;Jonghyun Lee;Beom-seok Kim;Jinhong Yang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.279-291
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    • 2023
  • In recent years, language model-based generative AI technologies have made remarkable progress. In particular, it has attracted a lot of attention due to its increasing potential in various fields such as summarization and code writing. As a reflection of this interest, the number of patent applications related to generative AI has been increasing rapidly. In order to understand these trends and develop strategies accordingly, future forecasting is key. Predictions can be used to better understand the future trends in the field of technology and develop more effective strategies. In this paper, we analyzed patents filed to date to identify the direction of development of language model-based generative AI. In particular, we took an in-depth look at research and invention activities in each country, focusing on application trends by year and detailed technology. Through this analysis, we tried to understand the detailed technologies contained in the core patents and predict the future development trends of generative AI.

Analysis of Global Smart Logistics Trends Using Patent Analysis: Focusing on the Development of the Domestic Logistics Industry (특허 분석을 이용한 글로벌 스마트 물류 트렌드 분석: 국내 물류 산업 발전을 중심으로)

  • Youngchul, Song;Seulgi Ryu;Minyoung Park;Daye Lee;Byungun Yoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.3
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    • pp.181-190
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    • 2024
  • The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.

Technology Trend for Carbon Nanomaterials Hydrogen Storage by the Patent Analysis (특허분석에 의한 탄소 나노재 수소저장 기술 동향)

  • Park, Soo-Jin;Lee, Young-Seak;Kang, Kyung-Seok;Choi, Mi-Jeong;Kim, Jong-Wook
    • Journal of Hydrogen and New Energy
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    • v.19 no.1
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    • pp.77-89
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    • 2008
  • There are several materials for the hydrogen storage such as hydrogen storage alloy, carbon nanomaterials, non-carbon nanomaterials, compounds etc. Efficient and inexpensive hydrogen storage is an essential prerequisite for the utilization of hydrogen, one of the new and clean energy sources. Many researches have been widely performed for the hydrogen storage techniques and materials having high storage capacity and stability. In this paper, the patents concerning the carbon nanomaterial hydrogen storage method were gathered and analyzed. The search range was limited in the open patents of Korea(KR), Japan(JP), USA(US) and European Union(EP) from 1996 to 2006. Patents were gathered by using key-words searching and filtered by filtering criteria. The trends of the patents was analyzed by the years, countries, companies, and technologies.

Technology Trend for Non-carbon Nanomaterials Hydrogen Storage by the Patent Analysis (특허분석에 의한 비탄소계 나노재료 수소저장 기술 동향)

  • Lee, Jin-Bae;Kang, Kyung-Seok;Han, Hye-Jeong;Kim, Jong-Wook;Kim, Hae-Jin
    • Journal of Hydrogen and New Energy
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    • v.19 no.3
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    • pp.248-259
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    • 2008
  • There are several well-known materials for the hydrogen storage such as metallic alloy, carbon nanomaterials, non-carbon nanomaterials, and compounds etc. Efficient and inexpensive hydrogen storage methods are an essential prerequisite for the utilization of hydrogen, one of the new and clean energy sources. Many researches have been widely performed for the hydrogen storage techniques and materials to improve the high storage capacity and stability. In this paper, the patents concerning the non-carbon nanomaterial hydrogen storage method were collected and analyzed. The search range was limited in the open patents of Korea(KR), Japan(JP), USA(US) and European Union(EP) from 1996 to 2007. Patents were collected by using key-words searching and filtered by filtering criteria. The trends of the patents was analyzed by the years, countries, companies. and technologies.

Establishing "Green Regionalism" Environmental Technology Generation across East Asia and Beyond

  • Shapiro, Matthew A.
    • Journal of Contemporary Eastern Asia
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    • v.13 no.2
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    • pp.41-56
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    • 2014
  • This research paper advances our understanding of complex interdependence among countries. Existing research has found that total factor productivity (TFP), the residual from the economic growth function, is hindered in the absence of a country's strong political and legal institutions or if a country does not already have a sufficiently high level of TFP. We also know that regional efforts to eliminate pollution are complex. Bridging these two areas while focusing on a high polluting yet high innovating region, the following research questions are posed: Are Northeast Asian countries key collaborators in pursuit of green R&D? Are Northeast Asian countries collaborating extensively with each other? What are the implications for other regions' attempts to establish these kinds of relations? To answer the above questions, biofuels-related technology as defined in the International Patent Classification's "green inventory" of environmentally sound technologies is examined. Patent data is drawn from the USPTO and inventors' country origin as the unit of analysis. For the 1990-2013 period, the Northeast Asian countries are in the core of a small set of collaborating countries. There is evidence that their centrality has increased in recent years. Most importantly, East Asia is becoming a singular research hub in terms of biofuels-related R&D, offering a counter in the foreseeable future to the dominance of the American and European research network hubs.

Issues for Technology-Humanities Convergence : Patent Keyword Analysis (특허 키워드 분석을 활용한 기술인문융합 현황 분석)

  • Kim, Jeeeun;Lee, Sungjoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.3
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    • pp.231-240
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    • 2016
  • As the limitation of the existing convergence is pointed out, technology-humanities convergence which highlights the enhancement of the quality of life of humans, is focused as a solution to facilitate sustainable technological innovation. Technology-humanities convergence has already occurred in various industries, of which a considerable number of successful cases can be noted. However, few efforts have been made to investigate technologyhumanities convergence as an independent academic field. Therefore, this paper aimed to identify the status of technology-humanities convergence. To do this, first, a definition of technology-humanities convergence was proposed. Second, based on Maslow's theory, the types of human needs and related key words were extracted. Third, patents related to human needs were collected from the United States Patent and Trademark Office (2000~2014). Fourth and last, the status of technology-humanities convergence was analyzed in terms of "convergence trends" and "convergence areas." This research is expected to promote more creative and human-centered performances of innovation as well as to support decision-making when the innovation strategy-as attempted by the quantitative analysis of technology-humanities convergence in the perspective of sustainable competitiveness-is established.

The Strategy of Wireless Power Transfer for Light Rail Transit By Core Technologies Analysis Based on Text Mining

  • Meng, Xiang-Yu;Han, Young-Jae;Eum, Soo-Min;Cho, Sung-Won
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.193-201
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    • 2018
  • In this paper, we extracted relevant patent data and conducted statistical analysis to understand the technical development trend related to Wireless Power Transfer (WPT) for Light Rail Transit (LRT). Recently, with the development of WPT technologies, the Light Rail Transit (LRT) industry is concentrating on applying WPT to the power supply system of trains because of their advantages compared wired counterpart, such as low maintenance cost and high stability. This technology is divided into three areas: wireless feeding and collecting technology, high-frequency power converter technology and orbital and infrastructure technology. From each specific area, key words in patent document were extracted by TF-IDF method and analyzed by social network. In the keyword network, core word of each specific technology were extracted according to their degree centrality. Then, the multi-word phrases were also built to represent the concept of core technologies. Finally, based on the analysis results, the development strategies for each specifics technical area of WPT in LRT filed will be provided.

Analysis of Patent Trends and Cooperative Network of Future-leading Items in the Field of Autonomous Driving (완전 자율주행분야 미래선도품목의 특허동향 및 협력 네트워크 분석)

  • Junghwan Lee;Jinyong Kim;Ji-hyuk Cho;Hyengsuk Kim
    • Journal of Information Technology Applications and Management
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    • v.29 no.6
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    • pp.1-12
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    • 2022
  • In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.

Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis (토픽모델 및 특허분석을 통한 차량용 반도체 기술 추세 분석)

  • Nam, Daekyeong;Choi, Gyunghyun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.1155-1178
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    • 2018
  • Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.