DOI QR코드

DOI QR Code

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

빅데이터분석기반의 기술주도형 미래 국방무기체계 및 핵심기술 도출 방법연구

  • Kang, Hyunkyu (Defense Agency for Technology and Quality) ;
  • Park, Yongjun (Defense Agency for Technology and Quality) ;
  • Park, Jaehun (Division of Cosmetic Science and Technology, Daegu Haany University)
  • 강현규 (국방기술품질원) ;
  • 박용준 (국방기술품질원) ;
  • 박재훈 (대구한의대학교 화장품공학부 산업품질공학전공)
  • Received : 2018.05.20
  • Accepted : 2018.06.11
  • Published : 2018.06.30

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.

Keywords

References

  1. Cao, Q., Duan, W., Gan, Q., 2011. "Exploring determinants of voting for the 'helpfulness' of online user reviews: A text mining approach." Decision Support Systems 50(2):511-521. https://doi.org/10.1016/j.dss.2010.11.009
  2. Defense Agency for Technology and Quality, 2014. "Imagination, Idea-based Future Warfare Unmanned technology 2050."
  3. Erol, S., Schmacher, A., and Sihn, W., 2016, "Strategic Guidance Towards Industry 4.0. A Threestage Process Mode.l" International Conference on Competitive Manufacturing.
  4. Fung, G. P. C., Yu, J. X., Lam, W., 2003, "Stock prediction: Integrating text mining approach using real-time news." 2003 IEEE International Conference on, 395-402.
  5. Hallowell, M. R., Gambatese, J. A., 2010, "Qualitative Research : Application of the Delphi Method to CEM Research." Journal of Construction Engineering and Management, 136(1):99-107. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000137
  6. Im, H., Cho, S.-W., Jinxian Q., Kim, J.-J., Lee C., Lee, G.-M., 2017. "Prediction of Aviation Security Technologies through Cluster Analysis of Patent Big Data." Journal of Aviation Management Society of Korea, 15(5):43-63.
  7. Jimenez, H., Marvis, D., 2010. "An Evolution of Morphological Analysis Applications in Systems Engineering." AIAA Aerospace sciences Meeting Including the New Horizons Forum and Aerospace Exposition: 972.
  8. Kam, J. S., Kim, M. W., Park, S. -D., Hyun, B. -H., 2012. "A Study on the Promising Future Biotechnology." Journal of Korea Technology Innovation Society 15(2):345-368.
  9. Kim, J. O., Kim, J., Kim, S. K., 2007. "A Comparative Study of Technological Forecasting Methods with the Case of Main Battle Tank by Ranking Efficient Units in DEA." Journal of the Military Operations Research Society of Korea 33(2):61-73.
  10. Korea Institute of Science & Technology Evaluation and Planning, 2016. "A study on the Selection Process of 10 Promising Future Technologies."
  11. Korea Institute of Science & Technology Evaluation and Planning. 2017. "The 5th Science & Technology Foresight Assessment."
  12. Lee, W. J., 2018. "The Fourth Industrial Revolution and Changes in Management and Marketing." Journal of Korean Academic Society Of Business Administration 22(1):177-193.
  13. Yano, Y., Oguma, T., Nagata, H., Sasaki, S., 1998, "Application of Logistic Growth Model to Pharmacodynamic Analysis of in Vitro Bactericidal Kinetics." Journal of Pharmaceutical sciences 87(10):1177-1183. https://doi.org/10.1021/js9801337