Browse > Article
http://dx.doi.org/10.9766/KIMST.2016.19.5.629

Support Vector Machine based Ballistic Limit Velocity Measurement for Small Caliber Projectile  

Kim, Jong-Hwan (Department of Mechanical & Systems Engineering, Korea Military Academy)
Baik, Seungwon (Department of Mechanical & Systems Engineering, Korea Military Academy)
Yoon, Byengjo (Department of Mechanical & Systems Engineering, Korea Military Academy)
Jo, Sungsik (Department of Mechanical & Systems Engineering, Korea Military Academy)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.19, no.5, 2016 , pp. 629-637 More about this Journal
Abstract
This paper presents a ballistic limit velocity measurement using the support vector machine that classifies two classes, the partial penetration and the complete penetration, by generating a linear separating hyperplane that equally divides the classes. For the ballistic limit velocity measurement, the previous methods(MIL-STD-662F and NIJ-STD-0101.06) have required a large number of experiments that caused high cost and time. However, the proposed method is not only flexible, requiring 0.85 ~ 4.8 times fewer experiments but also reliable, providing less than 2 % difference in results compared to the previous methods. For its validation, live fire experiments were conducted using various thickness SS400 iron plates as a target and two different types of live bullets such as 5.56 mm M193 and 7.62 mm M80.
Keywords
Ballistic Limit Velocity; Support Vector Machine; Classification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 S. Jo and G. I. Kim, "Special Purpose Body-armor Acquisition and Technology," Hwarang-dae Research Institute, Vol. 1, pp. 1-179, Mar 2013.
2 J.-H. Kim and S. Jo, "Recursive Bayesian Filter based Strike Velocity Estimation for Small Caliber Projectile," Journal of the Korea Institute of Military Science and Technology, Vol. 19, pp. 177-184, 2016.   DOI
3 Y. Ma and G. Guo, Support Vector Machines Applications : Springer, 2014.
4 I.-Y. Na, "A Reliability Prediction Method for Weapon Systems using Support Vector Regression," Journal of the Korea Institute of Military Science and Technology, Vol. 16, pp. 675-682, Oct. 2013.   DOI
5 C. Cortes and V. Vapnik, "Support Vector Machine," Machine Learning, Vol. 20, pp. 273-297, 1995.
6 C.-W. Hsu and C.-J. Lin, "A Comparison of Methods for Multiclass Support Vector Machines," IEEE Transactions on Neural Networks, Vol. 13, pp. 415- 425, 2002.   DOI
7 N. Standard, "0101.06. Ballistic Resistance of Body Armor," Washington : National Institute of Justice, 2008. Vol. 1, pp. 1-74, 2008.
8 M. Military Standard, "662F. V50 Ballistic Test for Armor," US Army Research Laboratory : Aberdeen Proving Ground, MD, Vol. 18, pp. 1-18, 1997.