Hall H, Day 3 - Hall and day program - SCEJ 90th Annual Meeting (Tokyo, 2025)

`SCEJ 90th Annual Meeting (Tokyo, 2025)`

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

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Hall and day program : Hall H, Day 3

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.

Hall H(3F 307), Day 3(Mar. 14)

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
6. Systems, information, and simulation technologies
(9:00–10:00)
9:00– 9:20	H301	On 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-c	81
9:20– 9:40	H302	Optimizing 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-d	251
9:40– 10:00	H303	An approximate model of a complex reaction process for controlling a product property. (ENEOS) *(Reg)Daiguji Masaharu, (TUAT) (Reg)Yamashita Yoshiyuki	process control	6-d	557
(10:00–11:00)
10:00– 10:20	H304	Development 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-f	27
10:20– 10:40	H305	Construction 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-g	221
10:40– 11:00	H306	Identifying 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-g	490
(11:00–12:00)
11:00– 11:20	H307	Chemical process design using bayesian optimization (MI-6) (Int)Vasquez Mauro	Process design Bayesian optimization Open source process simulator	6-e	21
11:20– 11:40	H308	Optimization 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-g	333
11:40– 12:00	H309	Process 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-g	334

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SCEJ 90th Annual Meeting (Tokyo, 2025)

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