Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Hall K, Day 3 | |||||
(13:00–14:00) (Chair: Hasebe S.) | |||||
K313 | [The SCEJ Award for Outstanding Young Researcher] Soft Sensors for Improvement of Control Performance in Chemical Plants | 6-d | 624 | ||
K314 | Plant-wide monitoring with Invariant analysis based on MISO ARX model including common factors for large scale plants | Plant-wide monitoring MISO ARX model | 6-a | 597 | |
K315 | A new kinetic lumping model for design of refinery process under petroleomics framework | petroleomics molecular based lumping model design of refinery processes | 6-b | 391 | |
(14:00–15:00) (Chair: Funatsu K.) | |||||
K316 | Kinetic Model for Expansion Culture of iPS Cells by Considering the Deviation from Undifferentiated State on Feeder Layers | Deviation iPS cell Simulation | 6-c | 264 | |
K317 | A method for planning regional energy system based on industrial symbiosis | Renewable resources Energy integration Multi-industry collaboration | 6-b | 602 | |
K318 | A Mathematical Method for Extracting Parameters to be Criterion for Revision Timing in Reactive Scheduling | reactive scheduling schedule revision limit of tolerance | 6-d | 671 | |
Break | |||||
(15:20–16:20) (Chair: Hirao M.) | |||||
K320 | Development of flatness control method for silicon wafer | silicon wafer flatness control | 6-e | 615 | |
K321 | Generative topographic mapping and graph theory combined approach for non-linear fault identification and diagnosis | Process Monitoring Generative Topographic Mapping Graph Theory | 6-c | 471 | |
K322 | Input Variable Selection for Softsensor Design based on Weighted Nearest Correlation Spectral Clustering | Softsensor Input variable selection Spectral clustering | 6-d | 247 | |
(16:20–17:00) (Chair: Kaneko H.) | |||||
K323 | Modeling, Simulation and Optimization Research for Pharmaceutical Manufacturing | Process design Multiobjective optimization Decision-support | 6-e | 250 | |
K324 | Technical requirements for virtual sensing technology application | Virtual sensing Technical requirement Industrial application | 6-f | 340 |