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SCEJ 50th Autumn Meeting (Kagoshima, 2018)

Last modified: 2018-09-04 10:00:00

Program search result : SY-68 : 15 programs

The abstracts can be viewed by clicking the Paper IDs.
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Topics Code field begins with “SY-68”; 15 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 2
9:00– 9:20		EA201Management of project cost estimation process based on its resource flow
(Kanagawa U.) *(Reg)Ishii Nobuaki, (U. Tsukuba) Takano Yuichi, (Tokyo Tech) (Reg)Muraki Masaaki
engineering-to-order
project management
simulation
SY-6818
Day 2
9:20– 9:40		EA202Freeze-thaw process design of induced pluripotent stem cells using mechanistic models
(U. Tokyo) *(Stu)Hayashi Yusuke, (Osaka U.) (Reg)Horiguchi Ikki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Hirao Masahiko, (Reg)Sugiyama Hirokazu
Cryobiology
Numerical simulation
Multiobjective process design
SY-68431
Day 2
9:40– 10:00		EA203Natural vitamin E purification process design based on the competitive adsorption model ~ development from model system to actual system ~
(Tohoku U.) *(Stu·PCEF)Watanabe Tomoya, (Reg·PCEF)Hiromori Kousuke, (Reg)Takahashi Atsushi, (Reg)Shibasaki-Kitakawa Naomi
process design model
vitamin E purification
actual biomass system
SY-681021
Day 2
10:00– 10:20		EA204Approach to quantitative improvement of the trade-off relationship between the risks of infection with foot-and mouth disease and budget for epidemic prevention
(U. Miyazaki) *(Reg)Takatsuka Kayoko, Sekiguchi Satoshi, Mukunoki Masayuki, Okazaki Naonobu
Keeling model
risks of infection
budget
SY-68473
Day 2
10:40– 11:00		EA206Model predictive control of Czochralski process producing 300 mm single crystal silicon ingot
(Kyoto U.) *(Stu)Kato Shota, (Stu)Yoshioka Hironobu, (Reg·APCE)Kim Sanghong, (Reg)Kano Manabu, (SUMCO) Fujiwara Toshiyuki, (Reg)Mizuta Masahiko, (Kyoto U.) (Reg)Hasebe Shinji
Model predictive control
Czochralski process
Gray-box model
SY-68501
Day 2
11:00– 11:20		EA207Physical-knowledge based extension of attributes for process monitoring
(TUAT) *(Stu·PCEF)Xia Junqing, (Reg)Yamashita Yoshiyuki
Fault detection
Grey-box modeling
Multi-variable analysis
SY-68670
Day 2
11:20– 11:40		EA208Optimization of monomer compositions with non-linear regression model for functional polymer design
(U. Tokyo) *(Stu)Shibayama Shojiro, (Reg)Funatsu Kimito
Mixture designs
Optimization
Design of Experiments
SY-681057
Day 2
13:00– 13:20		EA213Framework for data-driven process improvement and operations support in biopharmaceutical drug product manufacturing
(U. Tokyo) *(Stu)Casola Gioele, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (U. Tokyo) (Reg)Sugiyama Hirokazu
Digitalization
Smart manufacturing
Decision-making
SY-68232
Day 2
13:20– 13:40		EA214Data-driven predictive monitoring and operation support for decontamination processes in biopharmaceutical manufacturing
(U. Tokyo) *(Stu)Zeberli Anicia, Badr Sara, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (U. Tokyo) (Reg)Sugiyama Hirokazu
machine learning
predictive maintenance
big data
SY-68249
Day 2
13:40– 14:00		EA215A new method of identifying major quality factors from multivariate process data
(Fuji Electric) *(Div)Murakami K., (Div)Iisaka T., (Div)Matsui T., (Reg)Tanaka M.
multivariate process data
quality
factor identification
SY-68461
Day 2
14:00– 14:20		EA216Quantification of variable importance based on nonlinear regression model and its application to causal analysis of defective steel products
(Kyoto U.) Kawakita Takuya, *(Reg)Kano Manabu, (Nippon Steel & Sumitomo Metal) Tani Masahiro, Mori Junichi, Ise Junji, Nishimura Ryohichi, Harada Kohhei
Causal analysis
nonlinear regression model
steel product
SY-68457
Day 2
14:20– 14:40		EA217A study for estimation of internal state of a micro wave flow reactor using a absorption parameter
(Shizuoka U.) *(Stu)Kitagawa Akiko, (Stu)Uchiyama Taro, (Stu)Tanaka Tatsuya, (Reg)Takeda Kazuhiro
micro wave
flow reactor
estimation
SY-681065
Day 2
15:00– 15:20		EA219Investigation of the effect of utilizing the process knowledge for sample selection in soft-sensor design
(Kyoto U.) *(Stu·PCEF)Matsuyama Yukio, (Reg·APCE)Kim Sanghong, (Reg)Hasebe Shinji
Soft-sensor
Sample selection
Domain knowledge
SY-68280
Day 2
15:20– 15:40		EA220Development of a new evaluation method for soft sensors based on time series data
(Meiji U.) *(Stu)Kojima Takumi, (Reg)Kaneko Hiromasa
soft sensor
time series data
hyper-parameter
SY-68312
Day 2
15:40– 16:00		EA221Machine combination adjustment in multi-process production system for improving product yield
(Kyoto U.) Suzuki Yoshiaki, *(Reg)Kano Manabu, (Toshiba) Soga Akira, Yanagimachi Takeshi, Murao Ryo, Takaki Masaya
Machine combination
Product yield
Scheduling
SY-68455

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SCEJ 50th Autumn Meeting (Kagoshima, 2018)

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