본문 바로가기
KERD
논문KCI 등재

빅데이터분석기반의 기술주도형 미래 국방무기체계 및핵심기술 도출 방법연구

A study on Technology Push-based Future Weapon System and Core Technology Derivation Methodology

1

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류학제간연구

초록

Purpose: Recent trends have shown that the usage of big data analysis is becoming the core of identifying promising future technologies and emerging technologies. Accordingly, applying these trends by analyzing defense related data in such sources as journals, articles, and news will provide crucial clues in predicting and identifying core future technologies that can be used to develop creative and unprecedented future weapon systems that could change the warfare. Methods: To identify technology fields that are closely related to the 4th industrial revolution and recent technology development trends, environmental analysis, text mining, and military applicability survey have been included in the process. After the identification of core technologies that are militarily applicable, future weapon systems based on these technologies as well as their operation concepts are suggested. Results: Through the study, 73 important trends, from which 11 mega trends are derived, are identified. These mega trends can be expressed by 13 promising technology fields. From these technology fields, 248 promising future technologies are identified. Afterwards, further assessment is performed, which leads to the selection of 63 core technologies from the pool. These are named as "future defense technologies" which then become the bases for 40 future weapons systems that the military can use. Conclusion: Predicting future technologies using text mining analysis have been attempted by various organizations across the globe, especially in the fields related to the 4th industrial revolution. However, the application of it in the field of defense industry is unprecedented. Therefore, this study is meaningful in that it not only enables the military personnel to see promising future technologies that can be utilized for future weapon system development, but helps one to predict the future defense technologies using the method introduced in the paper.

Abstract

Purpose: Recent trends have shown that the usage of big data analysis is becoming the core of identifying promising future technologies and emerging technologies. Accordingly, applying these trends by analyzing defense related data in such sources as journals, articles, and news will provide crucial clues in predicting and identifying core future technologies that can be used to develop creative and unprecedented future weapon systems that could change the warfare. Methods: To identify technology fields that are closely related to the 4th industrial revolution and recent technology development trends, environmental analysis, text mining, and military applicability survey have been included in the process. After the identification of core technologies that are militarily applicable, future weapon systems based on these technologies as well as their operation concepts are suggested. Results: Through the study, 73 important trends, from which 11 mega trends are derived, are identified. These mega trends can be expressed by 13 promising technology fields. From these technology fields, 248 promising future technologies are identified. Afterwards, further assessment is performed, which leads to the selection of 63 core technologies from the pool. These are named as "future defense technologies" which then become the bases for 40 future weapons systems that the military can use. Conclusion: Predicting future technologies using text mining analysis have been attempted by various organizations across the globe, especially in the fields related to the 4th industrial revolution. However, the application of it in the field of defense industry is unprecedented. Therefore, this study is meaningful in that it not only enables the military personnel to see promising future technologies that can be utilized for future weapon system development, but helps one to predict the future defense technologies using the method introduced in the paper.

참고문헌 (13)

  1. Cao, Q., "Exploring determinants of voting for the helpfulness of online user reviews: A text mining approach", Decision Support Systems, 50(2), pp.511~521 (2011)[DOI]
  2. Defense Agency for Technology and Quality, "Imagination, Idea-based Future Warfare Unmanned technology 2050" (2014)
  3. Erol, S., "Strategic Guidance Towards Industry 4.0. A Threestage Process Mode.l", International Conference on Competitive Manufacturing (2016)
  4. Fung, G. P. C., "Stock prediction: Integrating text mining approach using real-time news", 2003 IEEE International Conference on, pp.395~402 (2003)
  5. Hallowell, M. R., "Qualitative Research : Application of the Delphi Method to CEM Research", Journal of Construction Engineering and Management, 136(1), pp.99~107 (2010)[DOI]
  6. 임현우, "특허 빅데이터 군집분석을 통한 항공보안 미래기술 예측", 한국항공경영학회지, 15(5), pp.43~63 (2017), 한국항공경영학회
  7. Jimenez, H., "An Evolution of Morphological Analysis Applications in Systems Engineering", AIAA Aerospace sciences Meeting Including the New Horizons Forum and Aerospace Exposition, pp.972~ (2010)
  8. 감주식, "바이오 미래유망 연구분야 도출에 관한 연구", 기술혁신학회지, 15(2), pp.345~368 (2012), 한국기술혁신학회[DOI]
  9. 김재오, "DEA기반 순위선정 절차를 활용한 주력전차의 기술예측방법 비교연구", 한국국방경영분석학회지, 33(2), pp.61~74 (2007), 한국국방경영분석학회
  10. A study on the Selection Process of 10 Promising Future Technologies, "Korea Institute of Science & Technology Evaluation and Planning", ~ (2016)
  11. The 5th Science & Technology Foresight Assessment, "Korea Institute of Science & Technology Evaluation and Planning", ~ (2017)
  12. 이원준, "4차 산업혁명의 논의와 경영 및 마케팅 관리의 변화", Korea Business Review, 22(1), pp.177~194 (2018), 한국경영학회[DOI]
  13. Yano, Y., "Application of Logistic Growth Model to Pharmacodynamic Analysis of in Vitro Bactericidal Kinetics", Journal of Pharmaceutical sciences, 87(10), pp.1177~1183 (1998)[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (11건)