SY-65. [Symposium of Division of Systems, Information and Simulation Technologies] Recent Research and Development of Process Systems Engineering

Organizer(s): Kim Sanghong (Tokyo Univ. of Agri. and Tech.), Hayashi Yusuke (The Univ. of Tokyo)

Most recent update: 2024-04-11 13:19:01

The keywords that frequently used
in this topics code.
KeywordsNumber
Cryopreservation2
optimization2
Process simulation2
Continuous manufacturing2
Model Predictive Control1

ACKN
No.
Title/Author(s)KeywordsStyle
34Step-by-step Graphic Calculation of Actual Stages for Design of a Packed Distillation Column
(Kansai Chem Eng) *(Reg)Kataoka Kunio, (Reg)Nishimura Goro, (Reg)Noda Hideo
Step-by-step calculation
packed distillationcolumn
practical design
O
51Development of automatic process simulation optimization system for new continuous distillation column
(Daikin Industries) *(Cor)Iwanaga Yuusuke, (Cor)Tanaka Yoshinori, (Cor)Niwa Takashi, (Cor)Hirakawa Taku
process simulation
distillation column
optimization
O
149Optimization of operating conditions using a crystallizer model with local temperature control
(TUAT) *(Stu)Iizuka Saki, (Reg,APCE)Kim Sanghong, (Stu)Ishikawa Kano
Crystallization
Process synthesis
Distributed parameter system
O
298Dynamic analysis of process operation behavior applying new informative method
(TUAT) *(Stu)Wada Tetsuya, (Reg)Yamashita Yoshiyuki
Fault detection
Machine learning
Clustering
O
340Bi-objective Bayesian optimization for successive process of CO2 absorption and methanation
(AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho
CCUS
Bi-objective Bayesian optimization
CO2 emissions
O
362Data-driven Process Variable Prediction Based on Orthogonal Autoencoder
(TUAT) *(Reg,PCE)Xia Junqing, (Reg)Yamashita Yoshiyuki
data-driven process monioring
process variable prediction
O
378Screening support method of cryoprotective agents for stem cells
(U. Tokyo) *(Reg)Hayashi Yusuke, (Stu)Shigeyama Akinori, (Reg)Sugiyama Hirokazu
Molecular design
Environmental assessment
Cryopreservation
O
415Development of a decision support system for schedule management considering delay risks
(U. Miyazaki) *(Reg)Takatsuka Kayoko, Tayano Ryo, (JGC) (Reg)Sato Tomoichi, (U. Miyazaki) Aburada Kentaro, Okazaki Naonobu
Schedule management
Delay risk
schedule network
O
431Attempt to apply process systems engineering to solve technical problems in antibody drug manufacturing
(U. Tokyo) *(Reg,SPCE)Yamada A., (Reg)Sugiyama H.
Antibody drug manufacturing
Process simulation
Mammalian cell cultivation
O
479Elucidation of the impact of mixing and tableting conditions in the continuous manufacturing process of solid dosage forms on intermediate and final products
(Kyoto U.) *(Stu,PCEF)Kobayashi Yuki, (TUAT) (Reg)Kim Sanghong, (Powrex) (Reg)Nagato Takuya, (Reg)Oishi Takuya, (Kyoto U.) (Reg)Kano Manabu
Process modeling
Continuous manufacturing
Product quality
O
598Fokker-Planck equation based Stochastic Model Predictive Control
(Kyoto U.) (Int)Oh Tae_Hoon
Process Control
Model Predictive Control
Stochastic Control
O
659A Soft-sensor Tool for Accelerating Digital Transformation in the Process Industry
(Fuji Electric) *(Div)Murakami Kenya, (Reg)Tanaka Masaki, (Div)Katou Taisuke, (Div)Matsui Tetsuro, (Div)Iizaka Tatsuya
Soft-sensor
Digital transformation
Process industry
O
699Kinetic study and design space exploration of amination reaction in flow synthesis of drug substances
(U. Tokyo) *(Reg)Kim Junu, (Reg)Hayashi Yusuke, (Int)Badr Sara, (Pharmira) Okamoto Kazuya, Hakogi Toshikazu, (Reg)Furukawa Haruo, (Shionogi Pharma) (Reg)Yoshikawa Satoshi, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu
Flow chemistry
Active pharmaceutical ingredients
Continuous manufacturing
O
724Simulation Evaluation of Quality Improvement by Deep Reinforcement Learning Method for Semi-Batch Process
(Fuji Electric) *(Div)Tange Yoshio, (Div)Ikekawa Shogo, (Div)Matsui Tetsuro
Reinforcement Learning
Semi-Batch Process
O
725CFD-based modeling of a continuous forced convection-based freezer unit for human induced pluripotent stem cells considering supercooling
(U. Tokyo) *(Stu)Scholz Benedikt_Xaver, (Reg)Hayashi Yusuke, (Int)Gaddem Mohamed_Rami, (Osaka U.) Higashi Yuka, Uno Yuki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Sugiyama Hirokazu
Regenerative medicine
Cryopreservation
Computational fluid dynamics
O
781Study of Scaling factor optimization based on accuracy in training data to improve MSPC accuracy
(Powrex/TUAT) *(Reg)Oishi Takuya, (Powrex) (Reg)Nagato Takuya, (TUAT) (Reg)Kim Sanghong
Continuous Pharmaceutical Manufacturing
Wet Granulation
Multivariate Statistical Process Control
O
950Can ChatGPT extract variable from papers related to chemical engineering?
(Kyoto U.) *(Reg)Kato Shota, (Reg)Kano Manabu
Artificial intelligence
Language model
Natural language processing
O
993Optimization of the chemical production process using biomass as feedstock
(Kyoto U.) *(Reg)Sotowa Ken-Ichiro, Kinoshita Makoto, (Reg)Tonomura Osamu, (Int)Oh Tae_Hoon
biomass
supply chain
optimization
O

List of received applications (By topics code)

List of received applications
SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Most recent update: 2024-04-11 13:19:01
This page was generated by easp 2.51b; update.pl 2.37 (C)1999-2015 kawase