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http://dx.doi.org/10.5391/JKIIS.2012.22.4.521

Measuring System for Impact Point of Arrow using Mamdani Fuzzy Inference System  

Yu, Jung-Won (부산대학교 전자전기공학과)
Lee, Han-Soo (부산대학교 전자전기공학과)
Jeong, Yeong-Sang (부산대학교 전자전기공학과)
Kim, Sung-Shin (부산대학교 전자전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.4, 2012 , pp. 521-526 More about this Journal
Abstract
The performance of arrow from a manufacturing process depends on arrow's trajectory(archer's paradox) and intensity of an impact points. Especially, when conducting a shooting experiment over and over in the same experiment condition, the intensity of impact point is an objective standard to judge the performance of the arrow. However, the analysis method for the impact point is not enough, a previous research of the arrow's performance has been focused on a skill to optimize a manufacturing variables(feathers of an arrow, barb of an arrow, arrow's shaft, weight, external diameter, spine). In this paper, We propose measurement system of arrow's impact point with Mamdani fuzzy inference system and similarity of polygon for automation of impact point's measurement. Measuring the impact point data of the arrow moving with a high speed(approximately 275km/h) by using line laser and photo diode array, then the measured data are mapped to arrow's impact point with fuzzy inference and similarity of polygon.
Keywords
Mamdani Fuzzy Inference System; Impact Point of Arrow; Similarity of Polygon;
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Times Cited By KSCI : 2  (Citation Analysis)
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