Experimental Study on Advancement of Measurement Technology in Cryogenic Two-Phase Flow Using Deep Learning

Authors :: NAKAO, Keigo
AKUTSU, Motohide
OINUMA, Mizuki
MIYASE, Takumi
SAKAMOTO, Yuki
SATO, Tetsuya
Source :: 令和3年度宇宙輸送シンポジウム: 講演集録 = Proceedings of Space Transportation Symposium FY2021.
Publication Year :: 2022
Publisher :: 宇宙航空研究開発機構宇宙科学研究所(JAXA)(ISAS), 2022.
Abstract: 令和3年度宇宙輸送シンポジウム（2022年1月13日-14日. オンライン開催)<br />Space Transportation Symposium FY2021 (January 13-14, 2022. Online Meeting)<br />化学推進優秀学生賞<br />資料番号: SA6000173032<br />STCP-2021-033

Subjects :: Multiphase Flows
Deep Learning, Bidirectional LSTM
Two-Phase Flow
Flow Meter

Language :: Japanese
Database :: OpenAIRE
Journal :: 令和3年度宇宙輸送シンポジウム: 講演集録 = Proceedings of Space Transportation Symposium FY2021
Accession number :: edsair.jairo.........d49462860635c2b320de1d9bd59040b0

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