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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : 金 尚弘 : 9 programs

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Authors and Chairs (J) field exact matches “金 尚弘”; 9 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
11:4012:00
BA109[Featured presentation] Prediction of a feed factor of two-component powder in a twin screw feeder
Process modeling
Feed factor
Multi-component powder
SY-64517
Day 1
13:0013:40
   Chair: Sugiyama Hirokazu, Kim Sanghong
AA113Introduction
Introduction
ST-26789
AA114Modeling approach for cost-effectiveness analysis of companion diagnostics
Antibody drugs
Medical costs
DALY
ST-26386
AA115Discussion 1
Discussion
ST-26780
Day 1
15:0016:00
   Chair: Kim Sanghong
FA119[Invited lecture] Development of Physical Model Based Integrated Fuel Cell System Simulator
fuel cell system
simulation
model based development
ST-2285
Day 1
16:4017:00
FA124Development of a control system of a fuel cell stack and auxiliary systems
Fuel cell system simulator
Controller design
Auxiliary systems
ST-22675
Day 1
17:0017:20
FA125Control design method of a fuel cell systems simulator for various applications
Fuel cell system simulator
Controller design
Auxiliary systems
ST-22678
Day 1
17:2017:40
FA126Integrated use of simulators of fuel cell catalyst layer and fuel cell system for material design
Fuel cell
Multi-scale simulation
Material design
ST-22638
Day 2
13:0014:00
   Chair: Kim Sanghong
BA213Requirement analysis of therapeutic antibody process simulators
Monoclonal antibody
Process simulation
Process design
SY-65179
BA214Set-point determination based on residence time distribution for pharmaceutical continuous manufacturing process control
Continuous manufacturing
Residence time distribution
process control
SY-6529
BA215Application of tunnel freezers in freezing processes for human induced pluripotent stem cells
CFD
Hybrid model
Regenerative medicine
SY-65457
Day 2
14:2014:40
BA217Reliability Assessment for a Multivariate Model from Closed-loop Data Based on the SPS Method
Finite-sample data
Closed-loop identification
Multivariate process
SY-65108
Day 3
15:4017:00
   Chair: Kim Sanghong
DC321Multimodal Artificial Intelligence for Data-driven Developments of Complex Composite Materials
Multimodal AI
Materials Informatics
Composite Material
ST-21669
DC322Effect of physics-based feature engineering in predicting product yields of catalytic cracking reactions
catalytic cracking
machine learning
feature engineering
ST-21101
DC323Developing identifiers to link materials databases
materials informatics
database
ST-21580
DC324Discusstion on initial sample selection for Bayesian optimization of compound combinations
Bayesian optimization
Machine learning
Clustering
ST-21328
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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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