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SCEJ 51st Autumn Meeting (2020)

Program search result : Kim Sanghong : 3 programs

All sessions can be attended from the On-line (Virtual) Meeting Site.
Preprints(Abstracts) are now open. Click the Paper IDs. (Registered participants and invited persons only)
The ID/PW was sent on Sept. 10 (for earlybird registered participants) or on Sept. 23 (for on-site registered participants).
(Aug. 8) Flash session of SY-69 has been cancelled.
(Aug. 24,27) Schedule of SY-74 (X306, X307) and HQ-11 (D301) has been changed.

Authors field exact matches “Kim Sanghong”; 3 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 1
15:4016:20
   Chair: Sugiyama Hirokazu, Kim Sanghong
C121[Requested talk] Redefining healthcare system by technologizing medical processes
(Keio U.) (Reg)Yahagi Naohisa
Healthcare
Medicine
Technology
SP-2466
Day 2
13:2013:40
T214[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
SY-67801
Day 2
13:4014:40
   Chair: Kim Sanghong, Takaba Hiromitsu
T215PID 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
SY-67172
T216Analysis 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
SY-67239
T217Data-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
SY-67521

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SCEJ 51st Autumn Meeting (2020)


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