Hideaki Ogawa

Scopus著者プロファイル

ウェブサイトhttps://hyoka.ofc.kyushu-u.ac.jp/search/details/K007212/index.html

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年別の研究成果

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント

Hideaki Ogawaが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

1 類似のプロファイル

114 会議への寄与
50 学術誌
3 コメント/討論
2 章 (査読審査付き)
その他
- 2 総説

Multi-objective Design Optimization and Uncertainty Analysis of a Downscaled Cusped Field Thruster
Hyun Yeo, S. & Ogawa, H., 2023, The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2. Lee, S., Han, C., Choi, J-Y., Kim, S. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1397-1410 14 p. (Lecture Notes in Electrical Engineering; vol. 913).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay
Candon, M., Levinski, O., Ogawa, H., Carrese, R. & Marzocca, P., 1月 15 2022, In: Mechanical Systems and Signal Processing. 163, 107999.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
6 被引用数 (Scopus)
Correction: Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion(26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022, (2022), 10.2514/6.2022-2734)
Ghosh, D. & Ogawa, H., 2022, In: 26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022.
研究成果: ジャーナルへの寄稿 › コメント/討論 › 査読
Deep-learning prediction and uncertainty quantification for scramjet intake flowfields
Fujio, C. & Ogawa, H., 11月 2022, In: Aerospace Science and Technology. 130, 107931.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
4 被引用数 (Scopus)
Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion
Ghosh, D. & Ogawa, H., 2022, 26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2022-2734. (26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

小川秀朗

フィンガープリント

過去5年の共同研究と上位研究分野

詳細を開く

Multi-objective Design Optimization and Uncertainty Analysis of a Downscaled Cusped Field Thruster

A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay

Correction: Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion(26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022, (2022), 10.2514/6.2022-2734)

Deep-learning prediction and uncertainty quantification for scramjet intake flowfields

Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion

小川 秀朗

フィンガープリント

過去5年の共同研究と上位研究分野

研究成果

Multi-objective Design Optimization and Uncertainty Analysis of a Downscaled Cusped Field Thruster

A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay

Correction: Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion(26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, ADSTCS 2022, (2022), 10.2514/6.2022-2734)

Deep-learning prediction and uncertainty quantification for scramjet intake flowfields

Design and Numerical Investigation of a Hypersonic Waverider based Entry, Descent, and Landing Architecture Assisted by Supersonic Retro-Propulsion

小川秀朗