Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Seokyoung Hong"'
Publikováno v:
International Journal of Intelligent Systems. 2023:1-13
In multiobjective particle swarm optimization (MOPSO), the global-best particle is randomly selected for each population particle from a nondominated solution set. However, this Roulette wheel-based global particle selection is ineffective for conver
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:827-834
Deep learning has recently emerged as a promising method for nonlinear process monitoring. However, ensuring that the features from process variables have representative information of the high-dimensional process data remains a challenge. In this st
Publikováno v:
Engineering with Computers.
Publikováno v:
Engineering with Computers.
Soft sensors are widely used to predict hard-to-measure quality variables in industrial processes. For efficient quality control, prediction of quality dynamics is essential to prevent off-specification production in a process. Recently, dynamic soft
Publikováno v:
Journal of the Korean Society of Hazard Mitigation. 19:275-281
Publikováno v:
Energy. 256:124583
Publikováno v:
Powder Technology. 355:309-319
In this study, we introduce a novel index for evaluating the continuous mixing process with pulse-injected bimodal particles. This mixing index is defined by multiplying the Variance among Bimodal Bin Counts (VBBC) by the Residence Time Distribution
Publikováno v:
Journal of Cleaner Production. 359:132133
Autor:
Yeongryeol Choi, Nahyeon An, Seokyoung Hong, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim
Publikováno v:
Computers & Chemical Engineering. 161:107758