In 2013, Imsil Pilbong Culture Village installed a dome-shaped membrane structure off a ceiling of an outdoor performance hall in order to support performances under bad climate condition. However, sound energy during the performance is collected under the dome structure and bounced back to the stage, which produces mixed acoustic which causes a serious acoustic defects. So, in this study, in order to improve the acoustical performance of the outdoor performance hall in Korea Soriter, two sound performance improvements were proposed using sound simulation according to the installation suspension absorbers after identifying acoustic defects through field measurement. The results of study, the comparison between sound performance improvement test, sound pressure level (SPL500Hz) was 64.7dB at 69.0dB, the weighted sound level (SPLdB(A)) was 68.8dB(A) at 78.7dB(A), reverberation time (RT500Hz) was 1.28sec at 2.19sec, early decay time (EDT500Hz) was 1.48sec at 2.41 sec, definition (D50,500Hz) was 52.9% at 29.8%, clarity (C80.500Hz) was 2.2dB at -l.OdB, and RASTI was 584.4%(“Fair”) at 51.1%(“Fair”) was evaluated.

A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's λ, D&B(Rij) & Tou are discussed.