한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

한국컴퓨터정보학회 (Korean Society of Computer Information)
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Implementation of JDAM virtual training function using machine learning

  • 투고 : 2020.07.20
  • 심사 : 2020.11.09
  • 발행 : 2020.11.30
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초록

TA-50 항공기는 공중전에 대비하여 공대공, 공대지 사격 훈련 등 다양한 상황에 대한 모의 훈련을 수행하고 있다. 또한 조종사의 실전 배치 전 훈련용으로도 사용되고 있다. 그러나 TA-50은 스마트 무장 운용 능력을 보유하고 있지 않아 훈련에 제한이 되고 있다. 이에 본 연구에서는 TA-50 항공기에 스마트 무장 중 하나인 합동정밀직격탄(JDAM)의 가상훈련이 가능하도록 구현하고자 하였다. 먼저, TA-50 항공기와 유사한 기종인 FA-50 항공기에 구현된 JDAM 기능을 분석하였다. 또한 FA-50 항공기에 구현된 기능은 소스코드의 직접 활용이 불가능하므로 머신러닝 기법(TensorFlow)을 활용하여 알고리즘을 추출하였다. 본 기능을 구현함으로써 실 무장을 장착하지 않아도 실제와 유사한 훈련이 가능할 것으로 기대된다. 마지막으로 본 연구 결과를 바탕으로 연구의 한계점을 보완하여 실제와 동일하게 구현할 수 있는 방안을 제안하고자 한다.

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.

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참고문헌

  1. BIAN Hong-wei, "Analysis of Transfer Alignment Technique of Joint Direct Attack Munition (JDAM)", Journal of Projectiles. Rockets. Missiles and Guidance 4 Apr 2003.
  2. EK You, CG Bae, and HJ Kim, "Implementation of OFP initialization function in IMDC for FA-50 aircraft", Journal of the Korea Society of Computer and Information, Vol. 24, No. 2, pp. 111-118, Feb 2019. https://doi.org/10.9708/JKSCI.2019.24.02.111
  3. EK You, and HJ Kim, "Implementation of Vertigo Warning function for FA-50 aircraft", Journal of the Korea Society of Computer and Information, Vol. 24, No. 10, pp. 1-9, Oct 2019.
  4. EK You, CG Bae, and HJ Kim, "A Study on Dynamic Launch Zone Algorithm Using Machine Learning", Journal of the Korea Society of Computer and Information Academic Presentation Papers, Vol. 28, No. 1, pp. 35-36, Jan 2020.
  5. M Yeo, "Guided weapons: Stand off munitions-essential for RAAF combat operations", Asia-Pacific Defence Reporter Vol. 45, No. 1, pp. 22, 2002.
  6. Strategy Page, Air Weapons: JDAM And Naval Mines, 2 Nov 2015.
  7. HN Dai, H Wang, G Xu, J Wan, and M Imran, "Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies", Enterprise Information Systems, pp. 1-25, 2019.
  8. JS Park, JC Kim, and GR Sim, "Supporting Air Transport Policies Using Big Data Analysis", The Korea Transport Institute Basic Research Report, pp. 1-218, 2014.
  9. JB Jane, and EN Ganesh, "Big Data and Internet of Things for Smart Data Analytics Using Machine Learning Techniques", In International conference on Computer Networks, Big data and IoT, pp. 213-223, Dec 2019.
  10. JM Jo, "The effect of normalization pre-processing of big data on the performance of machine learning", The Journal of the Institute of Electronics and Communication Sciences, Vol. 14, No. 3, pp. 547-552, 2019.
  11. A Geron, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems", O'Reilly Media, 2019.
  12. J Zhang, X Tian, and Y Man, "Design of Real Time Communication Software Based on ReWorks Operating System", Journal of Physics: Conference Series, Vol. 1486, pp. 1-7, 1 Apr 2020.
  13. Boeing, Interface Control Document JDAM to host aircraft core interface, Mar 2009.