学際科学フロンティア研究所活動報告書_令和4年度
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the sensor selection method, Neetu Tiwari, Kazuki Uchida, Ryoma Inoba, Yuji Saito, Keisuke Asai, Taku Nonomura, Experiments in Fluids, 63, 11 (2022年11月), pp. -. 4. Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise, Takayuki Nagata, Keigo Yamada, Taku Nonomura, Kumi Nakai, Yuji Saito, Shunsuke Ono, IEEE Transactions on Signal Processing, 70, (2022年10月), pp. 1-13. 5. Proof-of-concept study of sparse processing particle image velocimetry for real time flow observation, Naoki Kanda, Chihaya Abe, Shintaro Goto, Keigo Yamada, Kumi Nakai, Yuji Saito, Keisuke Asai, Taku Nonomura, Experiments in Fluids, 63, 9 (2022年9月), pp. -. 6. Feasibility Study of Controlling Supersonic Boundary-layer Flows Using Jets Flapping at Several Tens of Kilohertz, Rui AOKI, Ikuhiro FUJIMURA, Taro HANDA, Chungil LEE, Yuta OZAWA, Yuji SAITO, Taku NONOMURA, Keisuke ASAI, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 65, 5 (2022年9月), pp. 221-229. 7. Optimal gate selection method for simultaneous lifetime-based measurement of PSP and TSP, Miku Kasai, Takayuki Nagata, Taku Nonomura, Yuji Saito, Keisuke Asai, Measurement Science and Technology, 33, 9 (2022年9月1日), pp. 95203-95203. 8. Optimization of sparse sensor placement for estimation of wind direction and surface pressure distribution using time-averaged pressure-sensitive paint data on automobile model, Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Takayuki Nagata, Yuta Ozawa, Yuji Saito, Taku Nonomura, Keisuke Asai, Journal of Wind Engineering and Industrial Aerodynamics, 227, (2022年8月), pp. 105043-105043. 9. Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition, Yuto Iwasaki, Taku Nonomura, Kumi Nakai, Takayuki Nagata, Yuji Saito, Keisuke Asai, IEEE Access, 10, (2022年7月), pp. 80748-80763. 10. Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise, Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai, IEEE Access, 10, (2022年7月), pp. 79356-79364. 11. Time-resolved particle image velocimetry and pressure sensitive paint measurements of afterbody flow dynamics, Fernando Zigunov, Prabu Sellappan, Farrukh Alvi, Yuta Ozawa, Yuji Saito, Taku Nonomura, Keisuke Asai, Physical Review Fluids, 7, 2 (2022年2月1日), pp. -. 12. Single-pixel correlation applied to background-oriented schlieren measurement, Hikaru Sugisaki, Chungil Lee, Yuta Ozawa, Kumi Nakai, Yuji Saito, Taku Nonomura, Keisuke Asai, Yu Matsuda, Experiments in Fluids, 63, 1 (2022年1月), pp. -.2. Optimizing Sparse Sensor Placement for Flow Field Estimation Using Time-Averaged Pressure-Sensitive Paint Data: Application to Ground Vehicle, Ryoma Inoba, Kazuki Uchida, Yuto Iwasaki, Takayuki Nagata, Yuta Ozawa, Yuji Saito, Taku Nonomura, Keisuke Asai, AIAA AVIATION 2022 Forum, 2022年6月27日, 英語.―67―○国際会議発表1. Applying single-pixel ensemble correlation to process of calculating displacements in background oriented schlieren, Hikaru Sugisaki, Chungil Lee, Yuta Ozawa, Kumi Nakai, Yuji Saito, Taku Nonomura, Keisuke Asai, Yu Matsuda, AIAA AVIATION 2022 Forum, 2022年6月27日, 英語.

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