• Journal of Korea Multimedia Society
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• v.9 no.3
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• pp.279-286
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• 2006

Classification method used in this paper is applied for the first time to Korean traditional music. Among the frequency distribution vectors, average peak value is suggested and proved effective comparing to previous classification success rate. Mean, variance, spectral centroid, average peak value and ZCR are used to classify Korean traditional musical instruments. To achieve Korean traditional instruments automatic classification, Spectral analysis is used. For the spectral domain, Various functions are introduced to extract features from the data files. k-NN classification algorithm is applied to experiments. Taegum, gayagum and violin are classified in accuracy of 94.44% which is higher than previous success rate 87%.

• Journal of Sericultural and Entomological Science
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• v.46 no.1
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• pp.38-43
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• 2004

The strings of Gayageum and Geomungo are usually made of raw silk. It needs good vibration as well as good durability to endure during play the Gayagum and Geomungo. This study was carried out to discuss some effects of twisting number of first and final twisting on the mechanical properties of silk Gayageum strings. Tenacity of strings were largely decreased proportionally with the increase of number of twisting of strings but elongation of strings were in the opposition direction. However, it was needed to hard twisting string for the good vibration. The proper S direction twisting velocity of moving twister during final twisting (Z direction) until three thread become one thread, was 40% of basic twister.