SCEJ 55th Autumn Meeting
Sep. 11 (Wed) - 13 (Fri), 2024
Sapporo Campus, Hokkaido University
Japanese page
SCEJ 55th Autumn Meeting
Sep. 11 (Wed) - 13 (Fri), 2024
Sapporo Campus, Hokkaido University
Japanese page
There is a need to develop systematic methodologies for rational decision making in chemical plant design, control, planning, operation, diagnosis, and maintenance, consistent with the ever-increasing sophistication, automation, and informatization of chemical plants. This symposium aims to provide an opportunity for active discussion of recent research and technology in the field of process systems engineering. *This session is eligible for the SIS Section Award.
Most recent update: 2024-09-28 07:34:01
 The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| Machine learning | 4 |  | |
| Piping and Instrument Diagram | 4 | | |
| Plant Design | 3 | | |
| discrete element method | 2 | | |
| Optimization | 2 | | |
| Kinetic model | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 8 | Development of an integration algorithm of design of experiment for understanding chemical space and fast optimization | definitive screening design Bayesian optimization chemical space | O |
| 102 | Machine learning model estimating blood glucose monitoring from mid-infrared spectra measured by the photothermal monitoring method | mid-infrared spectra noninvasive blood glucose monitoring machine learning | O |
| 104 | Improved accuracy of anomaly detection through optimization of scaling factor in multiway-MSPC | Multivariate Statistical Process Control Multiway-Principal Component Analysis Pharmaceutical Manufacturing Process | O |
| 140 | Molecular design with direct inverse analysis of autoencoder-based QSAR/QSPR model | Machine learning Inverse analysis Molecular design | O |
| 161 | In-line near-infrared spectroscopic monitoring of molding process of polymer blends | in-line monitoring polymer processing near-infrared spectroscopy | O |
| 192 | Elucidation on suction effect for powder filling in a rotary tablet press | multi-physics simulation discrete element method powder die filling | O |
| 195 | Numerical study on ellipsoidal particle mixing in a cylindrical tank | discrete element method ellipsoidal particle powder mixing | O |
| 209 | Wavelength-weighting concentration prediction robust against spectra-unknown components using few samples | spectroscopic analysis | O |
| 214 | Validation on Multi-timescale Data-driven Reduced Order Model for Fast Predictive Simulations in a Fluidized Bed | Data-driven Multi-timescale ROM DEM-CFD Fast Predictive Simulations | O |
| 260 | Development of a soft sensor model that takes into account the dynamic characteristics of the process and two similar qualities | machine learning soft sensor time delay | O |
| 273 | Optimization of property prediction model in dynamic manufacturing process for carbon materials using a genetic algorithm | Machine learning Genetic-algorithm-based process variables and dynamics selection Multi-objective optimization | O |
| 275 | Digital Utilization of P&ID : Development and Practical Implementation of an Automated Routing Algorithm for Pipes and Cables | Piping and Instrument Diagram Plant Design Auto Routing | O |
| 304 | Design of Experiments for Identification Using Small-Sample Data: Minimizing the Volume of the Nonasymptotic Confidence Region of the Model Parameters | system identification design of experiments finite-sample data | O |
| 326 | A method for estimating the reaction rates by inverse analysis of elementary reaction and transport model simulating a denitrification system | Kinetic model Surface reaction Optimization | O |
| 457 | Modeling of monoclonal antibody production processes using data from automated cultivation experiment | Hybrid modeling Dynamic simulation Biopharmaceuticals | O |
| 468 | Development of Anomaly Classification Technology based on Measured Data | Anomaly Classification Trouble Prevention | O |
| 509 | Development of a Generative AI-Powered Support System for Creating Equipment Design Guidelines for Organizational Integration | Generative AI Large Language Models | O |
| 521 | Digital Utilization of P&ID: Challenges in Using Topology Data from PFD to P&ID and 3D | Piping and Instrument Diagram Plant Design Topology | O |
| 565 | Development of Plot Plan design automation system for chemical plant | Piping and Instrument Diagram Plant Design Plot Plan | O |
| 567 | Design space determination in freezing processes for human iPS cell-derived spheroids using hybrid models | Manufacturing Regenerative medicine Numerical simulation | O |
| 573 | Discussion toward the application of mathematical models in controlling cell cultivation and antibody production | Cell Cultivation Antibody production Process Control | O |
| 671 | Surrogate Modeling for Process Optimization Using Quantum Annealing Machines | Optimization Chemical Process Quantum Annealing | O |
| 677 | Deep Learning Prediction Model for Solubility of Nanoparticles From Perspective of Similarity | Nanoparticle solubility Deep learning | O |
| 734 | Process Topology-Enhanced Deep Learning for Small Data Analysis | Graph Convolutional Networks Process Flow Diagram Small Data Analytics | O |
| 806 | Application of Reinforcement Learning to the Control of Thermal Storage System in Concentrating Solar Power | Reinforcement Learning Concentrating Solar Power Plant Optimal Control | O |
| 940 | Digital Utilization of P&ID: Paradigm Shift in Design Processes Initiated by Plant Maintenance | Piping and Instrument Diagram Digital Twin Reverse Engineering | O |
| 1064 | The effect of the number of degree of freedoms of temperature control in cooling batch crystallization on the productivity and the quality of crystalline particles | Crystallization Process synthesis Distributed parameter system | O |
Organizing Committee of SCEJ 55th Autumn Meeting (2024)
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