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SCEJ 87th Annual Meeting (Kobe, 2022)

Last modified: 2022-03-04 12:00:00

Program search result : 自動 : 8 programs

Program of CS-2 is updated.
The preprints are now open (Mar. 2nd). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required. (The participants registered in Period III will get the ID/PW on Mar. 15th.)
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Title (J) field includes “自動”; 8 programs are found.
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:20– 14:20		PA143Comprehensive multi-factor analysis of immobilized-peptide-modified ambience using high content analysis and laboratory automation
(Nagoya U.) *(Stu)Sugiyama Ayato, (Reg)Kanie Kei, (Stu)Shimofuruta Kazumasa, (NIMS) Uto Koichiro, (Nagoya U.) Ogata Aika, (NIMS) Ebara Mitsuhiro, (Nagoya U.) Narita Yuji, (Reg)Kato Ryuji
Biomaterial
High content analysis
Laboratory automation
7-e304
Day 2
14:20– 14:40		K217Recycling platinum group metals from automotive exhaust catalysts based on selective leaching into hydrophobic ionic liquids
(Kyushu U.) *(Stu)Hanada Takafumi, Takaoka Sayako, (Reg)Goto Masahiro
Non-aqueous leaching
Platinum group metals
Ionic liquids
4-f425
Day 2
15:20– 15:40		M220Towards automatic physical model building. Part 1: Development of variable annotation tool
(Kyoto U.) *(Stu)Kato Shota, Numoto Masaki, (Reg)Kano Manabu
Physical model
Automatic physical model building
Information extraction
6-f44
Day 2
15:40– 16:00		M221[Featured presentation] Towards automatic physical model building. Part 2: ProcessBERT: a pre-trained language model for chemical engineering
(Kyoto U.) Kanegami Kazuki, *(Stu)Kato Shota, (Reg)Kano Manabu
Physical model
Automatic physical model building
Pre-trained language model
6-f45
Day 3
9:20– 10:20		PD369Kinetic analysis of alkaline hydrolysis of ester at various temperatures using automated flow reactor
(Chuo U.) *(Stu)Kimijima Fumitaka, (AIST) (Reg)Takebayashi Yoshihiro, (Reg)Sue Kiwamu, (Chuo U.) (Reg)Funazukuri Toshitaka
flow reactor
kinetic analysis
temperature control
5-f300
Day 3
10:20– 10:40		M305Automatic Detection of Self-excited Oscillatory Response and Re-Tuning of Poor Controller
(TUAT) *(Stu)Otakara Shigeki, (Reg)Yamashita Yoshiyuki
Process Control
PID Control
Oscillation Detection
6-d368
Day 3
11:00– 11:20		M307Automatic annotation method for growth diagnosis using image analysis by AI in smart agriculture
(U. Tokyo) *(Reg)Matsuo S., (Reg)Tokoro C., (NARO) Isozaki M.
Smart agriculture
object detection
automatic annotation
6-g21
Day 3
13:40– 13:45		G314[Invited lecture] Technology introducing of TSKcontainer
(Tsukishima Machine Sales) (Cor)Nitta Hirofumi
container
weighing
automation
SS-6196

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SCEJ 87th Annual Meeting (Kobe, 2022)

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