TY - GEN
T1 - Predicting the Patterns of Technology Convergence in Defense Technologies
AU - Kim, Kyung Soo
AU - Cho, Nam Wook
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Technology convergence is one of the most efficient ways to make innovation. This study aims to predict the technology convergence in the defense field using link prediction. Based on the patent data from 2010 to 2019, a link prediction model for convergence technology has been presented. The result shows that IT technologies are likely to play a crucial role in converging military technologies. In particular, measurement, control, and computing technologies are intermediaries, driving convergence across the present and future. While the importance of gunpowder and traditional weapon technologies will diminish, the importance of aircraft technologies such as drones will be greater. Furthermore, the network analysis shows that the convergence network structure will be more centralized and dense, which means that the convergence of technologies will strengthen in the future. This paper's main contribution is to present the future direction of defense R & D promotion from the viewpoint of technology convergence.
AB - Technology convergence is one of the most efficient ways to make innovation. This study aims to predict the technology convergence in the defense field using link prediction. Based on the patent data from 2010 to 2019, a link prediction model for convergence technology has been presented. The result shows that IT technologies are likely to play a crucial role in converging military technologies. In particular, measurement, control, and computing technologies are intermediaries, driving convergence across the present and future. While the importance of gunpowder and traditional weapon technologies will diminish, the importance of aircraft technologies such as drones will be greater. Furthermore, the network analysis shows that the convergence network structure will be more centralized and dense, which means that the convergence of technologies will strengthen in the future. This paper's main contribution is to present the future direction of defense R & D promotion from the viewpoint of technology convergence.
KW - Defense Technology
KW - Link Prediction
KW - Social Network Analysis
KW - Technology Convergence
UR - http://www.scopus.com/inward/record.url?scp=85127561240&partnerID=8YFLogxK
U2 - 10.1109/BigComp54360.2022.00024
DO - 10.1109/BigComp54360.2022.00024
M3 - Conference contribution
AN - SCOPUS:85127561240
T3 - Proceedings - 2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022
SP - 72
EP - 75
BT - Proceedings - 2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022
A2 - Unger, Herwig
A2 - Kim, Young-Kuk
A2 - Hwang, Eenjun
A2 - Cho, Sung-Bae
A2 - Pareigis, Stephan
A2 - Kyandoghere, Kyamakya
A2 - Ha, Young-Guk
A2 - Kim, Jinho
A2 - Morishima, Atsuyuki
A2 - Wagner, Christian
A2 - Kwon, Hyuk-Yoon
A2 - Moon, Yang-Sae
A2 - Leung, Carson
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022
Y2 - 17 January 2022 through 20 January 2022
ER -