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Taku Nonomura
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2020 – today
- 2024
- [j35]Eihiro Li, Yoshinori Oka, Yuta Ozawa, Taku Nonomura:
Modal analyses of double pulsed pressure-sensitive paint data of impinging supersonic jet. J. Vis. 27(5): 775-793 (2024) - [j34]Takayuki Nagata, Yusuke Mukuhira, Jingyi Sun, Hirokazu Moriya, Takahiro Shiina, Taku Nonomura:
Polarization Analysis in Time-Frequency Domain by Complex Spectral Matrix: Application to Various Phases of Seismogram. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j33]Shun Takahashi, Yasuo Sasaki, Takayuki Nagata, Keigo Yamada, Kumi Nakai, Yuji Saito, Taku Nonomura:
Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices. IEEE Access 11: 67850-67864 (2023) - [j32]Keigo Yamada, Yasuo Sasaki, Takayuki Nagata, Kumi Nakai, Daisuke Tsubakino, Taku Nonomura:
Efficient Sensor Node Selection for Observability Gramian Optimization. Sensors 23(13): 5961 (2023) - 2022
- [j31]Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai:
Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise. IEEE Access 10: 79356-79364 (2022) - [j30]Yuto Iwasaki, Taku Nonomura, Kumi Nakai, Takayuki Nagata, Yuji Saito, Keisuke Asai:
Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition. IEEE Access 10: 80748-80763 (2022) - [j29]Kanta Endo, Takumi Ambo, Yuji Saito, Taku Nonomura, Lin Chen, Keisuke Asai:
Proposal and verification of optical flow reformulation based on variational method for skin-friction-stress field estimation from unsteady oil film distribution. J. Vis. 25(2): 263-280 (2022) - [j28]Tsuyoshi Shigeta, Takayuki Nagata, Taku Nonomura, Keisuke Asai:
Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition. J. Vis. 25(4): 697-712 (2022) - [j27]Kasumi Ohmizu, Yuta Ozawa, Takayuki Nagata, Taku Nonomura, Keisuke Asai:
Demonstration and verification of exact DMD analysis applied to double-pulsed schlieren image of supersonic impinging jet. J. Vis. 25(5): 929-943 (2022) - [j26]Yuta Ozawa, Takayuki Nagata, Taku Nonomura:
Spatiotemporal superresolution measurement based on POD and sparse regression applied to a supersonic jet measured by PIV and near-field microphone. J. Vis. 25(6): 1169-1187 (2022) - [j25]Kyosuke Suzuki, Tomoki Inoue, Takayuki Nagata, Miku Kasai, Taku Nonomura, Yu Matsuda:
Markerless Image Alignment Method for Pressure-Sensitive Paint Image. Sensors 22(2): 453 (2022) - [j24]Yoshinori Oka, Takayuki Nagata, Miku Kasai, Yuta Ozawa, Keisuke Asai, Taku Nonomura:
Practical Fast-Response Anodized-Aluminum Pressure-Sensitive Paint Using Chemical Adsorption Luminophore as Optical Unsteady Pressure Sensor. Sensors 22(17): 6401 (2022) - [j23]Kazuki Uchida, Yuta Ozawa, Keisuke Asai, Taku Nonomura:
Photostability Enhancement of Dual-Luminophore Pressure-Sensitive Paint by Adding Antioxidants. Sensors 22(23): 9470 (2022) - [j22]Takayuki Nagata, Keigo Yamada, Taku Nonomura, Kumi Nakai, Yuji Saito, Shunsuke Ono:
Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise. IEEE Trans. Signal Process. 70: 5251-5264 (2022) - [j21]Kumi Nakai, Yasuo Sasaki, Takayuki Nagata, Keigo Yamada, Yuji Saito, Taku Nonomura:
Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments. IEEE Trans. Signal Process. 70: 5694-5707 (2022) - 2021
- [j20]Kumi Nakai, Keigo Yamada, Takayuki Nagata, Yuji Saito, Taku Nonomura:
Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization. IEEE Access 9: 46731-46743 (2021) - [j19]Yuji Saito, Taku Nonomura, Keigo Yamada, Kumi Nakai, Takayuki Nagata, Keisuke Asai, Yasuo Sasaki, Daisuke Tsubakino:
Determinant-Based Fast Greedy Sensor Selection Algorithm. IEEE Access 9: 68535-68551 (2021) - [j18]Chungil Lee, Yuta Ozawa, Takanori Haga, Taku Nonomura, Keisuke Asai:
Comparison of three-dimensional density distribution of numerical and experimental analysis for twin jets. J. Vis. 24(6): 1173-1188 (2021) - [j17]Tomohiro Okudera, Takayuki Nagata, Miku Kasai, Yuji Saito, Taku Nonomura, Keisuke Asai:
Effect of Oxygen Mole Fraction on Static Properties of Pressure-Sensitive Paint. Sensors 21(4): 1062 (2021) - [j16]Miku Kasai, Daisuke Sasaki, Takayuki Nagata, Taku Nonomura, Keisuke Asai:
Frequency Response of Pressure-Sensitive Paints under Low-Pressure Conditions. Sensors 21(9): 3187 (2021) - [j15]Taku Nonomura, Shunsuke Ono, Kumi Nakai, Yuji Saito:
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem. IEEE Signal Process. Lett. 28: 284-288 (2021) - [i3]Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai:
Greedy Sensor Placement for Weighted Linear-Least Squares Estimation under Correlated Noise. CoRR abs/2104.12951 (2021) - 2020
- [j14]Taekjin Lee, Chungil Lee, Taku Nonomura, Keisuke Asai:
Unsteady skin-friction field estimation based on global luminescent oil-film image analysis. J. Vis. 23(5): 763-772 (2020) - [j13]Chungil Lee, Taekjin Lee, Taku Nonomura, Keisuke Asai:
Evaluating the applicability of a phase-averaged processing of skin-friction field measurement using an optical flow method. J. Vis. 23(5): 773-782 (2020) - [j12]Miku Kasai, Yosuke Sugioka, Masanori Yamamoto, Takayuki Nagata, Taku Nonomura, Keisuke Asai, Yasuchika Hasegawa:
Characteristic Evaluation of Chameleon Luminophore Dispersed in Polymer. Sensors 20(9): 2623 (2020) - [i2]Taku Nonomura, Shunsuke Ono, Kumi Nakai, Yuji Saito:
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem. CoRR abs/2009.09315 (2020) - [i1]Takayuki Nagata, Taku Nonomura, Kumi Nakai, Keigo Yamada, Yuji Saito, Shunsuke Ono:
Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM. CoRR abs/2010.09329 (2020)
2010 – 2019
- 2018
- [j11]Yoshiaki Abe, Issei Morinaka, Takanori Haga, Taku Nonomura, Hisaichi Shibata, Koji Miyaji:
Stable, non-dissipative, and conservative flux-reconstruction schemes in split forms. J. Comput. Phys. 353: 193-227 (2018) - [j10]Yosuke Sugioka, Kazuto Arakida, Miku Kasai, Taku Nonomura, Keisuke Asai, Yasuhiro Egami, Kazuyuki Nakakita:
Evaluation of the Characteristics and Coating Film Structure of Polymer/Ceramic Pressure-Sensitive Paint. Sensors 18(11): 4041 (2018) - 2017
- [j9]Taku Nonomura, Kozo Fujii:
Characteristic finite-difference WENO scheme for multicomponent compressible fluid analysis: Overestimated quasi-conservative formulation maintaining equilibriums of velocity, pressure, and temperature. J. Comput. Phys. 340: 358-388 (2017) - 2015
- [j8]Yoshiaki Abe, Takanori Haga, Taku Nonomura, Kozo Fujii:
On the freestream preservation of high-order conservative flux-reconstruction schemes. J. Comput. Phys. 281: 28-54 (2015) - 2014
- [j7]Shun Takahashi, Taku Nonomura, Kota Fukuda:
A Numerical Scheme Based on an Immersed Boundary Method for Compressible Turbulent Flows with Shocks: Application to Two-Dimensional Flows around Cylinders. J. Appl. Math. 2014: 252478:1-252478:21 (2014) - [j6]Taku Nonomura, Keiichi Kitamura, Kozo Fujii:
A simple interface sharpening technique with a hyperbolic tangent function applied to compressible two-fluid modeling. J. Comput. Phys. 258: 95-117 (2014) - [j5]Yoshiaki Abe, Taku Nonomura, Nobuyuki Iizuka, Kozo Fujii:
Geometric interpretations and spatial symmetry property of metrics in the conservative form for high-order finite-difference schemes on moving and deforming grids. J. Comput. Phys. 260: 163-203 (2014) - [c3]Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii:
Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. IEEE Congress on Evolutionary Computation 2014: 2849-2854 - 2013
- [j4]Yoshiaki Abe, Nobuyuki Iizuka, Taku Nonomura, Kozo Fujii:
Conservative metric evaluation for high-order finite difference schemes with the GCL identities on moving and deforming grids. J. Comput. Phys. 232(1): 14-21 (2013) - [c2]Tomoaki Tatsukawa, Taku Nonomura, Akira Oyama, Kozo Fujii:
A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions. EMO 2013: 528-542 - 2012
- [j3]Taku Nonomura, Seiichiro Morizawa, Hiroshi Terashima, Shigeru Obayashi, Kozo Fujii:
Numerical (error) issues on compressible multicomponent flows using a high-order differencing scheme: Weighted compact nonlinear scheme. J. Comput. Phys. 231(8): 3181-3210 (2012)
2000 – 2009
- 2009
- [j2]Hiroyuki Nishida, Taku Nonomura:
ADI-SGS scheme on ideal magnetohydrodynamics. J. Comput. Phys. 228(9): 3182-3188 (2009) - [j1]Taku Nonomura, Kozo Fujii:
Effects of difference scheme type in high-order weighted compact nonlinear schemes. J. Comput. Phys. 228(10): 3533-3539 (2009) - [c1]Akira Oyama, Taku Nonomura, Kozo Fujii:
Data mining of non-dominated solutions using proper orthogonal decomposition. GECCO 2009: 1935-1936
Coauthor Index
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last updated on 2024-10-04 21:05 CEST by the dblp team
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