The paper of Sung Youngho, an undergraduate student majoring in Biomedical Engineering IT Convergence at the Department of Smart Healthcare, Pukyong National University, was published in the SCIE-level international journal ‘Minerals Engineering’.
Sung Youngho recently published the paper titled ‘Automated classification of clay suspension using acoustic sensing combined with convolutional neural network’ as the first author in this journal.
‘Minerals Engineering’ is a globally prestigious journal ranked in the top 10% of the Journal Citation Reports (JCR) in the field of Mineralogy, with an impact factor (IF) of 4.8.
Sung Young-ho, an undergraduate student majoring in Biomedical Engineering IT Convergence at Pukyong National University.
In the research jointly conducted with Professor Won Jongmuk’s team from the Department of Civil and Environmental Engineering at Ulsan University, Sung Youngho revealed in the paper the development of an automated system that classifies clay particles using ultrasonic signals and convolutional neural networks (CNN).
Clay is commonly found in mining waste, and effective treatment of clay particles and stable waste management are important issues. In particular, continuous monitoring of clay particles during the dewatering process is essential, and the automated system developed in this study is evaluated as a solution to this problem and presents potential future applications.
Advisor Professor Lim Haegyun said, “This study applied artificial intelligence and technology to the actual field, demonstrating the potential use of technology combining ultrasonic-based acoustic measurement and artificial intelligence,” and added, “We expect artificial intelligence and ultrasonic technology to develop further through future research.”
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