Japanese page
SCEJ

SCEJ 51st Autumn Meeting (2020)

List of received applications (By topics code)


SY) SCEJ Division Symposium

SY-67. [Symposium of Division of Systems, Information and Simulation Technologies] Recent Research and Development of Process Systems Engineering

Organizer(s): Kobayashi Daisuke (Tokyo Denki Univ.), Horie Takafumi (Kobe Univ.), Kim Sanghong (Kyoto Univ.)

Most recent update: 2021-02-07 15:20:01

The keywords that frequently used
in this topics code.
KeywordsNumber
continuous manufacturing2
process control2
Pharmaceuticals1

ACKN
No.
Title/Author(s)KeywordsStyle
20[The Outstanding Paper Award] Process-Identification and Design of Robust PI Controller for a Self-Oscillating Integral Process with Dead Time
(Mitsubishi Chemical Eng.) *(Cor)Takeda Hironobu, (TUAT) (Reg)Yamashita Yoshiyuki
Process Control
Integrating Process
Self-excited Oscillation
O
172PID control design suitable for chemical plant level control based on IMC theory
(TUAT) *(Stu)Otakara Shigeki, (Reg)Yamashita Yoshiyuki
process control
PID control
Internal model control
O
222Holistic design of biopharmaceutical production processes considering single-use technology and continuous manufacturing
(U. Tokyo) *(Reg)Shirahata Haruku, (Int)Badr Sara, (Reg)Sugiyama Hirokazu
pharmaceutical manufacturing
single-use technology
continuous manufacturing
O
239Analysis of the effects of process parameters on start-up operation in continuous wet granulation
(UGent/U. Tokyo) *(Stu)Matsunami Kensaku, (UGent) Nopens Ingmar, (U. Tokyo) (Reg)Sugiyama Hirokazu, (UGent) De Beer Thomas
Pharmaceuticals
continuous manufacturing
process assessment
O
282Development of polymer blends using machine learning
(ADMAT/DIC) *(Cor)Takada Shingo, (DIC) (Cor)Suzuki Toru, (AIST) (Reg)Takebayashi Yoshihiro, (Reg)Ono Takumi, (Reg)Yoda Satoshi
Machine learning
Polymer composite
O
521Data-driven failure detection and root-cause analysis in changeover processes in biopharmaceutical drug product manufacturing
(U. Tokyo) *(Stu)Zeberli Anicia, (Int)Badr Sara, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (U. Tokyo) (Reg)Sugiyama Hirokazu
Classification
Big data
O
592Knowledge-based variable extraction from scientific papers for automatic physical model building
(Kyoto U.) *(Stu)Kato Shota, (Reg)Kano Manabu
Physical model
Math information retrieval
Automatic physical model building
O
616Deep Learning for identification of organic molecules from mass spectrum and visualization of the attribution of substructure to peaks.
(Kogakuin U.) *(Stu)Kusachi Takashi, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu
Identification
mass spectrometry
deep learning
O
703Process design simulator for continuous synthesis system with catalyst regeneration
(Tohoku U.) *(Stu·PCEF)Hida Yuki, (Reg·PCEF)Hiromori Kousuke, (Reg)Takahashi Atsushi, (Reg)Shibasaki-Kitakawa Naomi
process design simulator
fatty acid ester
catalytic deactivation
O
801[The Outstanding Paper Award] Database Management Method Based on Strength of Nonlinearity for >> Locally Weighted Linear Regression
(Kyoto U.) *(Reg·APCE)Kim Sanghong, (Reg)Mishima Kazuki, (Reg)Kano Manabu, (Reg)Hasebe Shinji
Database management
Soft-sensor
Non-linearity
O
882Concept Definition and Functional Model Description Towards Resilient Chemical Industry
(Keio U.) *(Reg)Ishizaka Akira, Nishimura Hidekazu
IDEF0
Resilience
Conceptual Model
O

List of received applications (By topics code)

List of received applications
SCEJ 51st Autumn Meeting (2020)

(C) 2021 The Society of Chemical Engineers, Japan. . All rights reserved.
Most recent update: 2021-02-07 15:20:01
For more information contact Organizing Committee, SCEJ 51st Autumn Meeting (2020)
E-mail: inquiry-51fwww3.scej.org
This page was generated by easp 2.46; update.pl 2.37 (C)1999-2015 kawase