인공지능을 활용한 한국전통건축 부재의 형태 인지와 유형 분류 모델 제안

초록

Due to earthquakes in Gyeongju and Pohang in 2016 and frequent after shocks, the possibility of earthquakes in Korea has greatly increased. In terms of architecture, the damage from the earthquake was concentrated on buildings with specific types or structures, exposing a number of problems in design, construction and management. In addition, the study on earthquakes in Korea conducted a study on seismic data analysis, but it has placed greater importance on the investigation of damage to buildings and the data aggregation of the occurrence status than the correlation analysis among data. Therefore, in this study, we propose a plan for disaster response korean traditional architecture management through an artificial intelligence utilization model that can recognize the type of korean traditional architecture member and classify the type.

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