Abstract
In the arrow manufacturing business, the distribution of impact points on a target after a repetitive shooting test is an important element in assessing arrow performance. The impact points of the arrows shown on shooting paper serve as crucial indicators when determining arrow performance. However, shooting paper lacks accuracy and requires regular replacement, and the digitization of the relationship among the impact points is a difficult task. Advanced research studies currently focus on the external factors of arrow performance and arrows in-flight vibration, but such studies have neglected to investigate the distribution of impact points because of insufficient methods of assessing arrow performance and intuitive numerical data. In this paper, we propose a system that can convert the position of a flying arrow into coordinates and an algorithm that expresses the arrow position coordinates. The precision of arrow position coordinate measurement system is improved from an initial error of 2.46 mm to 0.452 mm after the correction. In addition, we suggest an indicator for the objective assessment of arrow performance using the coordinates from the arrow position coordinate measuring system. By analyzing the arrow performance of multiple arrows and arrow types, it is possible to select the optimal arrow and arrow model for a designated bow installed on the launcher.
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Recommended by Associate Editor Sung Jin Yoo under the direction of Editor Euntai Kim. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0024110) and was supported by BK21PLUS, Creative Human Resource Development Program for IT Convergence.
Yeongsang Jeong received the B.S. and M.S. degrees in information and communication engineering from Kyungnam University, Masan, Korea, in 2010 and 2012, respectively. He is currently a Ph.D. candidate at Department of Electrical and Computer Engineering, Pusan National University, Busan, Korea. His research interests include intelligent system, data mining, adaptive noise control, fault prediction and diagnosis.
Suryo Adhi Wibowo received the B.S. and M.S. degrees in telecommunication engineering from Telkom Institute of Technology, Indonesia, in 2009 and 2012, respectively. He is currently a Ph.D. candidate at Department of Electrical and Computer Engineering, Pusan National University, Busan, Korea. His research interests include computer vision, computer graphics, pattern recognition, and intelligent system.
Moonjae Song received the B.S. degree in electronic engineering from Dong-A University, Busan, Korea, in 2002, respectively. He is currently a director in the ShinKwang Leports Co., Ltd, Busan, Korea. His research interests include arrow manufacturing industry, quality control, quality management and material development.
Sungshin Kim received his B.S. and M.S. degrees in electrical engineering from Yonsei University, Seoul, Korea, in 1984 and 1986, respectively, and his Ph.D. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, in 1996. He is currently a Professor in the Department of Electrical and Computer Engineering, Pusan National University, Busan, Korea. His research interests include intelligent control, fuzzy logic control, hierarchical learning structures and data mining.
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Jeong, Y., Wibowo, S.A., Song, M. et al. Position coordinate representation of flying arrow and analysis of its performance indicator. Int. J. Control Autom. Syst. 14, 1037–1046 (2016). https://doi.org/10.1007/s12555-015-0191-z
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DOI: https://doi.org/10.1007/s12555-015-0191-z