―64―○論文1. Aeroacoustic Fields of Supersonic Twin Jets at the Ideally Expanded Condition, Yuta OZAWA, Taku NONOMURA, Yuji SAITO, Keisuke ASAI, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 64, 6 （2021年11月4日），pp. 312-324．2. Proposal and verification of optical flow reformulation based on variational method for skin-friction-stress field estimation from unsteady oil film distribution, Kanta Endo, Takumi Ambo, Yuji Saito, Taku Nonomura, Lin Chen, Keisuke Asai, Journal of Visualization （2021年9月28日）．3. Fast greedy optimization of sensor selection in measurement with correlated noise, Keigo Yamada, Yuji Saito, Koki Nankai, Taku Nonomura, Keisuke Asai, Daisuke Tsubakino, Mechanical Systems and Signal Processing, 158 （2021年9月），pp. 107619-107619. 4. Data-Driven Determinant-Based Greedy Under / Oversampling Vector Sensor Placement, Yuji Saito, Keigo Yamada, Naoki Kanda, Kumi Nakai, Takayuki Nagata, Taku Nonomura, Keisuke Asai, Computer Modeling in Engineering & Sciences, 129, 1 （2021年8月），pp. 1-30. 5. Feasibility Study on Real-time Observation of Flow Velocity Field using Sparse Processing Particle Image Velocimetry, Naoki KANDA, Kumi NAKAI, Yuji SAITO, Taku NONOMURA, Keisuke ASAI, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 64, 4 （2021年7月4日），pp. 242-245. 6. Data-Driven Sparse Sensor Selection Based on A-Optimal Design of Experiment With ADMM, Takayuki Nagata, Taku Nonomura, Kumi Nakai, Keigo Yamada, Yuji Saito, Shunsuke Ono, IEEE Sensors Journal, 21, 13 （2021年7月1日），pp. 15248-15257. 7. Analysis of transonic buffet on ONERA-M4 model with unsteady pressure-sensitive paint, Kazuki Uchida, Yosuke Sugioka, Miku Kasai, Yuji Saito, Taku Nonomura, Keisuke Asai, Kazuyuki Nakakita, Yusuke Nishizaki, Yoshiyuki Shibata, Seiichi Sonoda, Experiments in Fluids, 62, 6 （2021年6月）．8. Data-Driven Sparse Sampling for Reconstruction of Acoustic-Wave Characteristics Used in Aeroacoustic Beamforming, Sayumi Kaneko, Yuta Ozawa, Kumi Nakai, Yuji Saito, Taku Nonomura, Keisuke Asai, Hiroki Ura, Applied Sciences, 11, 9 （2021年5月6日），pp. 4216-4216. 9. Determinant-Based Fast Greedy Sensor Selection Algorithm, Yuji Saito, Taku Nonomura, Keigo Yamada, Kumi Nakai, Takayuki Nagata, Keisuke Asai, Yasuo Sasaki, Daisuke Tsubakino, IEEE Access, 9 （2021年４月），pp. 68535-68551. 10. Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization, Kumi Nakai, Keigo Yamada, Takayuki Nagata, Yuji Saito, Taku Nonomura, IEEE Access, 9 （2021年3月），pp. 46731-46743. 11. Effect of Oxygen Mole Fraction on Static Properties of Pressure-Sensitive Paint, Tomohiro Okudera, Takayuki Nagata, Miku Kasai, Yuji Saito, Taku Nonomura, Keisuke Asai, Sensors, 21, 4 （2021年2月4日），pp. 1062-1062. 12. Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem, Taku Nonomura, Shunsuke Ono, Kumi Nakai, Yuji Saito, IEEE Signal Processing Letters, 28 （2021年1月），pp. 284-288.齋藤 勇士 助教 ［物質材料・エネルギー］
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