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AI is not perfect -- Domain knowledge is a key in engineering


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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.
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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. ....

South Korea , Seung Seop Jin , Korea Institute Of Civil Engineering , National Research Foundation Of Korea , Building Technology , Korea Institute , Civil Engineering , Incheon Bridge , Power Spectrum Density , Brain Engineering , Raman Spectroscopy , Statistical Process , National Research Foundation , தெற்கு கொரியா , கொரியா நிறுவனம் ஆஃப் சிவில் பொறியியல் , தேசிய ஆராய்ச்சி அடித்தளம் ஆஃப் கொரியா , கட்டிடம் தொழில்நுட்பம் , கொரியா நிறுவனம் , சிவில் பொறியியல் , இன்செோன் பாலம் , பவர் ஸ்பெக்ட்ரம் அடர்த்தி , மூளை பொறியியல் , ராமன் ஸ்பெக்ட்ரோஸ்கோபி , புள்ளிவிவர ப்ரோஸெஸ் , தேசிய ஆராய்ச்சி அடித்தளம் ,