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Yonggyun Yu
Yonggyun Yu
Other names유 용균
Principal Researcher, AI Lab, Korea Atomic Energy Research Institute
Verified email at kaeri.re.kr - Homepage
Title
Cited by
Cited by
Year
Deep learning for determining a near-optimal topological design without any iteration
Y Yu, T Hur, J Jung, IG Jang
Structural and Multidisciplinary Optimization, 2018
3902018
Topology optimization for a frequency response and its application to a violin bridge
Y Yu, IG Jang, BM Kwak
Structural and Multidisciplinary Optimization 48, 627-636, 2013
282013
Nodal line optimization and its application to violin top plate design
Y Yu, IG Jang, IK Kim, BM Kwak
Journal of sound and vibration 329 (22), 4785-4796, 2010
242010
Unit module-based convergence acceleration for topology optimization using the spatiotemporal deep neural network
Y Joo, Y Yu, IG Jang
IEEE Access 9, 149766 - 149779, 2021
182021
Development of deep autoencoder-based anomaly detection system for HANARO
S Ryu, B Jeon, H Seo, M Lee, JW Shin, Y Yu
Nuclear Engineering and Technology 55 (2), 475-483, 2023
172023
Quantile-mixer: A novel deep learning approach for probabilistic short-term load forecasting
S Ryu, Y Yu
IEEE Transactions on Smart Grid, 2023
132023
Development of a CAD-based general purpose optimal design and its application to structural shape for fatigue life
YG Yu, BM Kwak
Proceeding of the KSME 2003 Autumn Annual Meeting, Korea (in Korean), 1340-1345, 2003
12*2003
Dual-fluid topology optimization of printed-circuit heat exchanger with low-pumping-power design
G Lee, Y Joo, Y Yu, HG Kim
Case Studies in Thermal Engineering 49, 103318, 2023
112023
Quantile autoencoder with abnormality accumulation for anomaly detection of multivariate sensor data
S Ryu, J Yim, J Seo, Y Yu, H Seo
IEEE Access 10, 70428-70439, 2022
112022
Comparison of machine learning-based radioisotope identifiers for plastic scintillation detector
B Jeon, J Kim, Y Yu, M Moon
Journal of Radiation Protection and Research 46 (4), 204-212, 2021
112021
Impact parameter prediction of a simulated metallic loose part using convolutional neural network
S Moon, S Han, T Kang, S Han, K Kim, Y Yu, J Eom
Nuclear Engineering and Technology, 2020
102020
Design sensitivity analysis of acoustical damping and its application to design of musical bells
Y Yu, BM Kwak
Structural and Multidisciplinary Optimization 44, 421-430, 2011
102011
Pipeline wall thinning rate prediction model based on machine learning
S Moon, K Kim, GG Lee, Y Yu, DJ Kim
Nuclear Engineering and Technology 53 (12), 4060-4066, 2021
82021
An advanced cargo handling system operating at sea
EH Kim, YS Jung, Y Yu, S Kwon, H Ju, S Kim, BM Kwak, IG Jang, KS Kim
International Journal of Control, Automation and Systems 12, 852-860, 2014
72014
Topology optimization for a knuckle using design space adjustment and refinement
IG Jang, YG Yu, BM Kwak
Transactions of the Korean Society of Mechanical Engineers A 30 (5), 595-601, 2006
52006
Design optimization of heat exchanger using deep reinforcement learning
G Lee, Y Joo, SU Lee, T Kim, Y Yu, HG Kim
International Communications in Heat and Mass Transfer 159, 107991, 2024
42024
Dynamic graph-based convergence acceleration for topology optimization in unstructured meshes
Y Joo, H Choi, GE Jeong, Y Yu
Engineering Applications of Artificial Intelligence 132, 107916, 2024
42024
Application of object detection algorithm for psychological analysis of children's drawing
J Yim, SO Lee, KP Kim, Y Yu
Journal of the Korea Industrial Information Systems Research 26 (5), 1-9, 2021
42021
Symmetry-informed surrogates with data-free constraint for real-time acoustic wave propagation
HS Choi, Y Yu, H Seo
Applied Acoustics 214, 109686, 2023
32023
Development of vibro-acoustic virtual sensing system for pipeline structure using digital twin
S Oh, KH Lee, K Ahn, Y Yu, K Kim, JG Kim
Transactions of the Korean Society of Mechanical Engineers, A 45 (9), 805-815, 2021
32021
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