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SCEJ 90th Annual Meeting (Tokyo, 2025)

Last modified: 2025-01-18 14:10:04

Session programs : 6. Systems, information, and simulation technologies

The chairs are under negotiation.
Yellow-back on the Technical sessions and session list denotes the on-site/virtual hybrid sessions.
All other sessions will be the on-site only sessions.

6. Systems, information, and simulation technologies

Hall H, Day 2 | Hall H, Day 3

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Hall H(3F 307), Day 2(Mar. 13)
(9:00–10:20)
9:009:20H201Effective usage of trouble cases in petrochemical complex
*(Reg)Eguchi H., (NITech) (Reg)コシジマ イチロウ
petrochemical complex
trouble cases
6-a488
9:209:40H202Techno economic analysis of thermal power plants with post-combustion CO2 capture in electricity market
(Waseda U.) *(Reg)Isogai Hirotaka, (Reg)Nakagaki Takao, (Yokohama Nat. U./IEEJ) Otsuki Takashi, (Ritsumeikan Asia Pacific U./IEEJ) Matsuo Yuhji
Carbon capture and storage
Linear programming
Chemical absorption
6-a529
9:4010:00H203Development of a multidimensional assessment platform for cryoprotective agents applied to stem cell-derived products
(U. Tokyo) *(Reg)Hayashi Yusuke, Shimizu Atsunori, (Stu)Tamaki Rei, (Reg)Sugiyama Hirokazu
Material design
Process design
Regenerative medicine
6-b167
10:0010:20H204Bi-objective Bayesian optimization for successive process of CO2 absorption and methanol synthesis
(AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho
CCUS
Bi-objective optimization
MeOH synthesis
6-b241
(10:20–11:40)
10:2010:40H205Design of mesenchymal stem cell manufacturing processes considering spatial heterogeneity and dynamic variations
(U. Tokyo) *(Stu)Hirono Keita, (Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu
Regenerative medicine
Kinetic model
Stochastic simulation
6-b203
10:4011:00H206Optimal design of thermally coupled distillation sequences
(Tohoku U.) *Wang Anqing, Ying Ruixuan, (Reg)Fukushima Yasuhiro
thermally coupled distillation
nonsharp separation
process synthesis
6-b475
11:0011:20H207Modeling and design of the drying steps in freeze-drying processes combining efficiency and product quality aspects
(U. Tokyo) *(Int)Badr Sara, Shinjo Mari, Gaddem Mohamed Rami, Lombardini Gianluca, (Powrex) Kuse Junko, Matsui Ko, (U. Tokyo) (Reg)Sugiyama Hirokazu
Biopharmaceuticals
cake collapse
drying time optimization
6-b574
11:2011:40H208Consideration of the relationship between entropy generation rate and process/equipment design
(Kyoto U.) *(Stu·PCEF)Fukuoka Norihiko, (Reg)Sotowa Ken-Ichiro
entropy generation
process design
equipment design
6-b583
Hall H(3F 307), Day 3(Mar. 14)
(9:00–10:00)
9:009:20H301On Modeling Arbitrary Boundary Deformations for Granular Flow Simulations
(U. Tokyo) *(Reg)Li Shuo, (Reg)Sakai Mikio
Discrete element method
Signed distance function
Boundary deformation
6-c81
9:209:40H302Optimizing Water Intake for Run-of-River Hydropower Using Chemical Plant Control Technology
(Resonac) *(Cor)Kurauchi Yuji, (Cor)Yoshida Katsuhisa, (Cor)Okuno Yoshishige, (Cor)Yoshihara Kazuki, (Cor)Aoyagi Tatsuya, (Cor)Takei Masahiro, (Cor)Kondo Takumi, (Cor)Kihara Hiroyuki, (Cor)Komuta Daiki, (Cor)Takinami Akitoshi
Hydropower
Model Predictive Control
process control
6-d251
9:4010:00H303An approximate model of a complex reaction process for controlling a product property.
(ENEOS) *(Reg)Daiguji Masaharu, (TUAT) (Reg)Yamashita Yoshiyuki
process control
6-d557
(10:00–11:00)
10:0010:20H304Development of uroflowmetry using urine jet images
(Saitama U.) *(Reg)Homma Shunji, (Stu)Kaneko Riki, Kiyama Akihito, Kan Donghyuk, (Saitama Med. U.) Takeshita Hideki
uroflowmetry
Machine learning
CFD
6-f27
10:2010:40H305Construction of Property Prediction Model for Polyimide Aerogels Using Semi-Supervised Learning
(Kyoto U.) *(Stu)Yoshikawa Itsuki, (U. Toronto) Tafreshi Omid, Sun Yu-Chen, Matsuura Naomi, (Kyoto U.) (Reg)Sotowa Ken-Ichiro, (U. Toronto) Naguib Hani
Materials Informatics
Polyimide Aerogel
Semi-Supervised Learning
6-g221
10:4011:00H306Identifying Challenges in the Development of an Ocular Deviation Detection System: The Need for Stratification Based on the Difference in Deviation Between Distance and Near Vision
(Miyazaki-M.U.) *(Reg)Takatsuka Kayoko, (U. Miyazaki) Nagatomo Yoki, Hiwatashi Shogo, Yamaura Yuki, Usuzaki Shotaro, Chuman Hideki, Mukunoki Masayuki
Ocular Deviation Detection System
Clinical Data Evaluation
6-g490
(11:00–12:00)
11:0011:20H307Chemical process design using bayesian optimization
(MI-6) (Int)Vasquez Mauro
Process design
Bayesian optimization
Open source process simulator
6-e21
11:2011:40H308Optimization Study of Plot Plan Using Genetic Algorithm
(JGC Global) *(Cor)Kokubo Hiroki, (Cor)Yamada Yoshinori, (Cor)Koito Hiroyuki, (Cor)Iwamuro Norito, (Waseda U.) Arakawa Masao
Plant Design
Plot Plan
Genetic Algorithms
6-g333
11:4012:00H309Process flow analysis using graph clustering and deployment to Plot Plan design automation
(JGC Global) *(Cor)Yamada Yoshinori, (Cor)Koito Hiroyuki, (Cor)Kokubo Hiroki, (Cor)Iwamuro Norito, (Cor)Sawayanagi Kaoru
Process Flow Diagram
Plant Design
Graph Clustering
6-g334

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SCEJ 90th Annual Meeting (Tokyo, 2025)


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