@article{ART002649834},
author={Eun-Kyung You and Chan-Gyu Bae and Kim, Hyeock-Jin},
title={Implementation of JDAM virtual training function using machine learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={11},
pages={9-16},
doi={10.9708/jksci.2020.25.11.009}
TY - JOUR
AU - Eun-Kyung You
AU - Chan-Gyu Bae
AU - Kim, Hyeock-Jin
TI - Implementation of JDAM virtual training function using machine learning
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 11
PB - The Korean Society Of Computer And Information
SP - 9
EP - 16
SN - 1598-849X
AB - The TA-50 aircraft is conducting simulated training on various situations, including air-to-air and air-to-ground fire training, in preparation for air warfare. It is also used for pilot training before actual deployment. However, the TA-50 does not have the ability to operate smart weapon forces, limiting training. Therefore, the purpose of this study is to implement the TA-50 aircraft to enable virtual training of one of the smart weapons, the Point Direct Attack Munition (JDAM). First, JDAM functions implemented in FA-50 aircraft, a model similar to TA-50 aircraft, were analyzed. In addition, since functions implemented in FA-50 aircraft cannot be directly utilized by source code, algorithms were extracted using machine learning techniques(TensorFlow). The implementation of this function is expected to enable realistic training without actually having to be armed. Finally, based on the results of this study, we would like to propose ways to supplement the limitations of the research so that it can be implemented in the same way as it is.
KW - TA-50 aircraft;JDAM;Smart Weapon;Mission Computer;Machine Learning
DO - 10.9708/jksci.2020.25.11.009
ER -
Eun-Kyung You, Chan-Gyu Bae and Kim, Hyeock-Jin. (2020). Implementation of JDAM virtual training function using machine learning. Journal of The Korea Society of Computer and Information, 25(11), 9-16.
Eun-Kyung You, Chan-Gyu Bae and Kim, Hyeock-Jin. 2020, "Implementation of JDAM virtual training function using machine learning", Journal of The Korea Society of Computer and Information, vol.25, no.11 pp.9-16. Available from: doi:10.9708/jksci.2020.25.11.009
Eun-Kyung You, Chan-Gyu Bae, Kim, Hyeock-Jin "Implementation of JDAM virtual training function using machine learning" Journal of The Korea Society of Computer and Information 25.11 pp.9-16 (2020) : 9.
Eun-Kyung You, Chan-Gyu Bae, Kim, Hyeock-Jin. Implementation of JDAM virtual training function using machine learning. 2020; 25(11), 9-16. Available from: doi:10.9708/jksci.2020.25.11.009
Eun-Kyung You, Chan-Gyu Bae and Kim, Hyeock-Jin. "Implementation of JDAM virtual training function using machine learning" Journal of The Korea Society of Computer and Information 25, no.11 (2020) : 9-16.doi: 10.9708/jksci.2020.25.11.009
Eun-Kyung You; Chan-Gyu Bae; Kim, Hyeock-Jin. Implementation of JDAM virtual training function using machine learning. Journal of The Korea Society of Computer and Information, 25(11), 9-16. doi: 10.9708/jksci.2020.25.11.009
Eun-Kyung You; Chan-Gyu Bae; Kim, Hyeock-Jin. Implementation of JDAM virtual training function using machine learning. Journal of The Korea Society of Computer and Information. 2020; 25(11) 9-16. doi: 10.9708/jksci.2020.25.11.009
Eun-Kyung You, Chan-Gyu Bae, Kim, Hyeock-Jin. Implementation of JDAM virtual training function using machine learning. 2020; 25(11), 9-16. Available from: doi:10.9708/jksci.2020.25.11.009
Eun-Kyung You, Chan-Gyu Bae and Kim, Hyeock-Jin. "Implementation of JDAM virtual training function using machine learning" Journal of The Korea Society of Computer and Information 25, no.11 (2020) : 9-16.doi: 10.9708/jksci.2020.25.11.009
