29 citations · 156 across the 9 of their papers we have counts for
9 papers
Computational and Experimental Comparison of CLF5605 and roamx-0201 Martian Helicopter Rotor Airfoils
Lidia Caros, Witold J. F. Koning, Takayuki Nagata +7
This study compares aerodynamic performance of the CLF5605 rotor airfoil -- which flew on Ingenuity from 2021 to 2024 -- with that of a new optimized roamx-0201 airfoil designed fo…
Fast Data-driven Greedy Sensor Selection for Ridge Regression
Yasuo Sasaki, Keigo Yamada, Takayuki Nagata +2
We propose a data-driven sensor-selection algorithm for accurate estimation of the target variables from the selected measurements. The target variables are assumed to be estimated…
Seismic Wavefield Reconstruction based on Compressed Sensing using Data-Driven Reduced-Order Model
Takayuki Nagata, Kumi Nakai, Keigo Yamada +5
A seismic wavefield reconstruction framework based on compressed sensing using the data-driven reduced-order model (ROM) is proposed and its characteristics are investigated throug…
Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction
Kumi Nakai, Takayuki Nagata, Keigo Yamada +5
The ``big'' seismic data not only acquired by seismometers but also acquired by vibrometers installed in buildings and infrastructure and accelerometers installed in smartphones wi…
Spatiotemporal Superresolution Measurement based on POD and Sparse Regression applied to a Supersonic Jet measured by PIV and Near-field Microphone
Yuta Ozawa, Takayuki Nagata, Taku Nonomura
The present study proposed the framework of the spatiotemporal superresolution measurement based on the sparse regression with dimensionality reduction using the proper orthogonal…
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 +5
This study proposes a method for predicting the wind direction against the simple automobile model (Ahmed model) and the surface pressure distributions on it by using data-driven o…
Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise
Takayuki Nagata, Keigo Yamada, Taku Nonomura +3
The present paper proposes a data-driven sensor selection method for a high-dimensional nondynamical system with strongly correlated measurement noise. The proposed method is based…
Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems
Takayuki Nagata, Keigo Yamada, Kumi Nakai +2
The randomized group-greedy method and its customized method for large-scale sensor selection problems are proposed. The randomized greedy sensor selection algorithm is applied str…
Nondominated-Solution-based Multi-objective Greedy Sensor Selection for Optimal Design of Experiments
Kumi Nakai, Yasuo Sasaki, Takayuki Nagata +3
In this study, a nondominated-solution-based multi-objective greedy method is proposed and applied to a sensor selection problem based on the multiple indices of the optimal design…