Kim Sanghong - Program search result - SCEJ 53rd Autumn Meeting (Nagano, 2022)

`SCEJ 53rd Autumn Meeting (Nagano, 2022)`

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Program search result : Kim Sanghong : 9 programs

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Authors field exact matches “Kim Sanghong”; 9 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 11:40– 12:00	BA109	[Featured presentation] Prediction of a feed factor of two-component powder in a twin screw feeder (Kyoto U.) *(Stu·PCEF)Kobayashi Yuki, (TUAT) (Reg)Kim Sanghong, (Powrex) (Reg)Nagato Takuya, Uchida Kazuhiro, (Reg)Oishi Takuya, (Kyoto U.) (Reg)Kano Manabu	Process modeling Feed factor Multi-component powder	SY-64	517
Day 1 13:00– 13:40	Chair: Sugiyama Hirokazu, Kim Sanghong
	AA113	Introduction (UTokyo) (Reg)Sugiyama Hirokazu	Introduction	ST-26	789
	AA114	Modeling approach for cost-effectiveness analysis of companion diagnostics (UTokyo) *(Stu)Okamura Kozue, (Reg)Ohta Seiichi, (Reg)Sugiyama Hirokazu	Antibody drugs Medical costs DALY	ST-26	386
	AA115	Discussion 1 (UTokyo) (Reg)Sugiyama Hirokazu	Discussion	ST-26	780
Day 1 15:00– 16:00	Chair: Kim Sanghong
Day 1 15:00– 16:00	FA119	[Invited lecture] Development of Physical Model Based Integrated Fuel Cell System Simulator (Kyoto U./Toyota Motor) *(Reg)Hasegawa S., (TUAT) (Reg)Kim S., (Kyoto U.) (Reg)Kageyama M., (Reg)Kawase M.	fuel cell system simulation model based development	ST-22	85
Day 1 16:40– 17:00	FA124	Development of a control system of a fuel cell stack and auxiliary systems (Kyoto U.) (Reg)Hasegawa Shigeki, (Toyota Motor) Miyamoto Yusuke, (TUAT) *(Reg·APCE)Kim Sanghong, (Toyota Motor) Ikogi Yoshihiro, (Kyoto U.) (Reg)Kageyama Miho, (Reg)Kawase Motoaki	Fuel cell system simulator Controller design Auxiliary systems	ST-22	675
Day 1 17:00– 17:20	FA125	Control design method of a fuel cell systems simulator for various applications (TUAT) *(Stu)Kaneoka Taiyo, Matsumoto Miyuki, (Reg·APCE)Kim Sanghong, (Kyoto U.) (Reg)Hasegawa Shigeki, (Reg)Kageyama Miho, (Reg)Kawase Motoaki	Fuel cell system simulator Controller design Auxiliary systems	ST-22	678
Day 1 17:20– 17:40	FA126	Integrated use of simulators of fuel cell catalyst layer and fuel cell system for material design (Kyushu U.) *(Reg)Inoue Gen, (Kyoto U.) (Reg)Hasegawa Shigeki, (TUAT) (Reg·APCE)Kim Sanghong, (Kyoto U.) (Reg)Kageyama Miho, (Reg)Kawase Motoaki	Fuel cell Multi-scale simulation Material design	ST-22	638
Day 2 13:00– 14:00	Chair: Kim Sanghong
	BA213	Requirement analysis of therapeutic antibody process simulators (U. Tokyo) *(Reg·SPCE)Yamada Akira, (Reg)Sugiyama Hirokazu	Monoclonal antibody Process simulation Process design	SY-65	179
	BA214	Set-point determination based on residence time distribution for pharmaceutical continuous manufacturing process control (Kyoto U.) *(Stu)Nabetani Ayumu, (Reg)Kato Shota, (Reg)Kano Manabu	Continuous manufacturing Residence time distribution process control	SY-65	29
	BA215	Application of tunnel freezers in freezing processes for human induced pluripotent stem cells (U. Tokyo) *(Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu	CFD Hybrid model Regenerative medicine	SY-65	457
Day 2 14:20– 14:40	BA217	Reliability Assessment for a Multivariate Model from Closed-loop Data Based on the SPS Method (Kyoto U.) *(Stu·PCEF)Oshima Masanori, (TUAT) (Reg·APCE)Kim Sanghong, (TU Ilmenau) Shardt Yuri, (Kyoto U.) (Reg)Sotowa Ken-Ichiro	Finite-sample data Closed-loop identification Multivariate process	SY-65	108
Day 3 15:40– 17:00	Chair: Kim Sanghong
	DC321	Multimodal Artificial Intelligence for Data-driven Developments of Complex Composite Materials (AIST) *(Reg)Muroga Shun, Miki Yasuaki, (ADMAT) Honda Takashi, (AIST) Morita Hiroshi, Okazaki Toshiya, Hata Kenji	Multimodal AI Materials Informatics Composite Material	ST-21	669
	DC322	Effect of physics-based feature engineering in predicting product yields of catalytic cracking reactions (Shinshu U.) *(Stu)Yasuike Shun, (Reg)Osada Mitsumasa, (Reg)Shimada Iori	catalytic cracking machine learning feature engineering	ST-21	101
	DC323	Developing identifiers to link materials databases (UTokyo) *(Reg)Muraoka Koki, Munekata Tsubasa, Nakayama Akira	materials informatics database	ST-21	580
	DC324	Discusstion on initial sample selection for Bayesian optimization of compound combinations (Meiji U.) *(Stu)Morishita Toshiharu, (Reg)Kaneko Hiromasa	Bayesian optimization Machine learning Clustering	ST-21	328

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SCEJ 53rd Autumn Meeting (Nagano, 2022)

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