SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : 川瀬 進 : 2 programs
The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.
Authors and Chairs (J) field exact matches “川瀬 進”; 2 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 3 | Chair: | ||||
| (B304) | Remark | ||||
| Day 3 | Chair: | ||||
| Q301 | [Invited lecture] Smart factory for chemical manufacturers | Smart factory Practical theory Case study | SS-7 | 322 | |
| Q302 | [Requested talk] Data Utilization Activity for DX of Production Field and AI Platform | DX Data Utilization AI Platform | SS-7 | 324 | |
| Q303 | [Invited lecture] Salesforce reference case for Cx including Quality Management / Blockchain reference case for refrigerant circulation platform | Saleseforce Blockchain DX | SS-7 | 329 | |
| Q304 | [Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning | AI Decision Tree Damage Mechanism Prediction | SS-7 | 338 | |
| Q305 | [Invited lecture] Energy-saving operation by AI autonomous control | AI control Reinforcement learning Energy-saving | SS-7 | 345 | |
| Q306 | [Requested talk] Practical use of digital technology at chemical plant | chemical plant digital transformation machine learning | SS-7 | 348 | |
| Q307 | Inverse design of functional separation materials using deep generation models. | machine learning polymer membrane gas separation | SS-7 | 357 | |
| Q308 | [Requested talk] Introduction of AI support for overall plant operation including optimization and anomaly detection | AI anomaly detection operation improvement | SS-7 | 369 | |
| Q309 | [Requested talk] Recommendation of diagnosis of heating medium boilers and equipment using heat medium | diagnosis maintenance inspection | SS-7 | 373 | |
| Q310 | [Invited lecture] Utilizing Robotics for "Smart Inspection/DX" of Factories, Plants, etc. | drone robotics digital transformation | SS-7 | 376 | |
| Q311 | [Invited lecture] Inventory reduction through color mixing using CCM | CCM colormixing inventory | SS-7 | 382 | |
| Q312 | [Requested talk] Online Trainings on Process Safety Triggered by COVID-19 | On-line Training Process Safety | SS-7 | 383 | |
| Q313 | [Requested talk] Improvement of on-site capabilities through digitalization of production technology and improvement of productivity through autonomous control of processes | Production engineering AI IoT Gemba-ryoku kaizen(Field capabilities improvement) Productivity improvement | SS-7 | 388 | |
| Q314 | [Invited lecture] AI use cases in predictive maintenance that have entered the practical stage | AI Machine Learning Predictive Maintenance | SS-7 | 393 | |
| Q315 | [Requested talk] Eco-friendly semiconductor cleaning technology using ozone water | Semiconductor Cleaning | SS-7 | 396 | |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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