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    우리나라 항공우주분야 기술 동향 탐색: 한국항공우주연구원 사례로 = Exploration of Technological Trends in the Aerospace Field in Korea

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    https://www.riss.kr/link?id=A108812128

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study is to explore technology trends in the aerospace field in Korea. To this end, domestic patents applied by the Korea Aerospace Research Institute were collected and topic modeling analysis was performed. As a result of the study, research topics in the aerospace field in Korea were largely identified as 15 technologies. Of the 15 technologies derived, 9 were common to the space sector, 2 to the aviation sector, and 4 to the aerospace sector. From the research results, it can be seen that Korea's aerospace research has mainly focused on space technology. In the case of space technology, based on the technology classification system of the National Key Space Technology Development Roadmap 2.0 (draft), research has been conducted on satellite payload technology, satellite main body technology, and launch vehicle engine technology. On the other hand, it was found that technologies for launch vehicle body and space observation and exploration were not appearing.
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    The purpose of this study is to explore technology trends in the aerospace field in Korea. To this end, domestic patents applied by the Korea Aerospace Research Institute were collected and topic modeling analysis was performed. As a result of the stu...

    The purpose of this study is to explore technology trends in the aerospace field in Korea. To this end, domestic patents applied by the Korea Aerospace Research Institute were collected and topic modeling analysis was performed. As a result of the study, research topics in the aerospace field in Korea were largely identified as 15 technologies. Of the 15 technologies derived, 9 were common to the space sector, 2 to the aviation sector, and 4 to the aerospace sector. From the research results, it can be seen that Korea's aerospace research has mainly focused on space technology. In the case of space technology, based on the technology classification system of the National Key Space Technology Development Roadmap 2.0 (draft), research has been conducted on satellite payload technology, satellite main body technology, and launch vehicle engine technology. On the other hand, it was found that technologies for launch vehicle body and space observation and exploration were not appearing.

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    참고문헌 (Reference)

    1 Erzurumlu, S., "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations" 156 : 1-12, 2020

    2 Venugopalan, S., "Topic based classification and pattern identification in patents" 94 : 236-250, 2015

    3 Ann, Y., "The current policy issues and challenges of the Korean Aerospace Industry" 2013

    4 Yan, E., "Research dynamics : Measuring the continuity and popularity of research topics" 8 (8): 98-110, 2014

    5 Blei, D., "Probabilistic topic models" 55 (55): 77-84, 2012

    6 Lee, W., "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents" 100 : 317-329, 2015

    7 He, B., "Mining diversity subgraph in multidisciplinary scientific collaboration networks : A meso perspective" 7 (7): 117-128, 2013

    8 Song, C., "Mapping the patent landscape in the field of personalized medicine" 12 (12): 238-248, 2017

    9 Rachit, A., "Latent dirichlet allocation based multi-document summarization" 2008

    10 Blei, D., "Latent dirichlet allocation" 3 : 993-1022, 2003

    1 Erzurumlu, S., "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations" 156 : 1-12, 2020

    2 Venugopalan, S., "Topic based classification and pattern identification in patents" 94 : 236-250, 2015

    3 Ann, Y., "The current policy issues and challenges of the Korean Aerospace Industry" 2013

    4 Yan, E., "Research dynamics : Measuring the continuity and popularity of research topics" 8 (8): 98-110, 2014

    5 Blei, D., "Probabilistic topic models" 55 (55): 77-84, 2012

    6 Lee, W., "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents" 100 : 317-329, 2015

    7 He, B., "Mining diversity subgraph in multidisciplinary scientific collaboration networks : A meso perspective" 7 (7): 117-128, 2013

    8 Song, C., "Mapping the patent landscape in the field of personalized medicine" 12 (12): 238-248, 2017

    9 Rachit, A., "Latent dirichlet allocation based multi-document summarization" 2008

    10 Blei, D., "Latent dirichlet allocation" 3 : 993-1022, 2003

    11 Song, M., "Identifying the landscape of Alzheimer’s disease research with network and content analysis" 102 (102): 905-927, 2014

    12 Yoon, J., "Identifying product opportunities using collaborative filtering-based patent analysis" 107 : 376-387, 2017

    13 Momeni, A., "Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling" 104 : 16-29, 2016

    14 Griffithes, T., "Finding scientific topics" 5228-5235, 2004

    15 Wang, H., "Finding complex biological relationships in recent PubMed articles using Bio-LDA" 6 (6): 2011

    16 Choi, D., "Exploring technological trends in Logistics : Topic modeling-based patent analysis" 10 (10): 1-26, 2018

    17 Ding, Y., "Community detection : Topological vs. topical" 5 (5): 498-514, 2011

    18 Choi, H. S., "Analyzing research trends in personal information privacy using topic modeling" 67 : 244-253, 2017

    19 Jiang, H., "A topic modeling based bibliometric exploration of hydropower research" 57 : 226-237, 2016

    20 Battisti, F. de., "A decade of research in statistics : A topic model approach" 103 (103): 413-433, 2015

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