Time | Prog. No. | Title/Author(s) | Keywords | Topics code | ACKN No. |
---|---|---|---|---|---|
Systems, information, and simulation technologies | |||||
(9:00-10:20) (Chairperson K. Funatsu) | |||||
C201 | (JPN) An Efficient Input Variable Selection Method based on the Correlation between Variables for Softsensor Construction | Variable Selection Partial least squares Correlation | 6-d | 25 | |
C202 | (JPN) On a new Method for Evaluation of Delay Risks in Chemical Batch Plant Operation | Delay Risk Evaluation PERT QE(:Quantifier elimination) | 6-f | 757 | |
C203 | (JPN) Optimal design of parallelized microreactors with gas and liquid slugs | Gas-liquid microreactor Slug flow Optimal design | 6-g | 280 | |
C204 | (JPN) Application of Agile and Balanced Scorecard for Program Management in Information Integration. | Program Management Agile Balanced Scorecard | 6-g | 302 | |
(10:20-11:20) (Chairperson Y. Yamashita) | |||||
C205 | (JPN) Similarity Analysis of Sequential Alarms by Levenshtein Distance | Plant Alarm System Sequential Alarm Levenshtein Distance | 6-a | 82 | |
C206 | (JPN) Intensification of combined sugar and bioethanol production by integrated modeling of agricultural and industrial processes | interdisciplinary approach bioethanol modeling | 6-b | 786 | |
C207 | (JPN) Rate constants estimation model for ultrasonic degradation process | ultrasonic degradation rate constant kinetic analysis | 6-c | 217 | |
(11:20-12:20) (Chairperson H. Kameyama) | |||||
C208 | (JPN) Estimation of Prediction Errors of Soft Sensor Models by Considering Data Density | soft sensor prediction error applicability domain | 6-d | 11 | |
C209 | (JPN) Reduction of both measurement of objective variables and degradation of soft sensor models | soft sensor process monitoring predictive accuracy | 6-d | 112 | |
C210 | (JPN) Development of material design method and new candidate search in multidimensional space for reducing the number of experiments | experimental design applicability domain QSPR | 6-e | 102 |