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올해 KAIST 최고 연구는 AI로 풀HD→울트라HD 실시간 변환 기술
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KAIST의 파격, 20년 연구만 한다… 싱귤래리티 교수 된 2인
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20년간 평가 안 받고 연구 몰두… 세상 바꿀 원리 찾을 것
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IMAGE: Based on different sixty data from the real cable-stayed bridges in South Korea, the developed method is evaluated with other methods. The deep-learning based method does not work well in. view more
Credit: Korea Institute of Civil Engineering and Building Technology (KICT)
The Korea Institute of Civil Engineering and Building Technology (KICT) has announced the development of a fully-automated peak-picking method for cable monitoring. The developed method will improve reliability of the method. Such as Incheon Bridge in South Korea, Cable-stayed bridges have received significant attention as efficient structural systems worldwide. In this regard, newly developed cable monitoring systems have become an essential and efficient maintenance approach for cable-stayed bridges. As structural integrity for stay-cables, tension force and damping ratio have been widely utilized as efficient metrics.
뉴스핌 - NH투자증권, KAIST 정재승 교수 초빙 유튜브 생방송 특강 실시
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