Position coordinate representation of flying arrow

Authors: Yeongsang Jeong Suryo Adhi Wibowo Moonjae Song Sungshin Kim

Publish Date: 2016/06/01

Volume: 14, Issue: 4, Pages: 1037-1046

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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 inflight 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 246 mm to 0452 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 launcherRecommended 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 20100024110 and was supported by BK21PLUS Creative Human Resource Development Program for IT ConvergenceYeongsang Jeong received the BS and MS degrees in information and communication engineering from Kyungnam University Masan Korea in 2010 and 2012 respectively He is currently a PhD 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 diagnosisSuryo Adhi Wibowo received the BS and MS degrees in telecommunication engineering from Telkom Institute of Technology Indonesia in 2009 and 2012 respectively He is currently a PhD 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 systemMoonjae Song received the BS degree in electronic engineering from DongA 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 developmentSungshin Kim received his BS and MS degrees in electrical engineering from Yonsei University Seoul Korea in 1984 and 1986 respectively and his PhD 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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