Zobrazeno 1 - 10
of 755
pro vyhledávání: '"Saito Yuji"'
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 by a ridge-regression estimator which is trained based on the data. T
Externí odkaz:
http://arxiv.org/abs/2402.10596
Autor:
Kanda, Naoki, Abe, Chihaya, Goto, Shintaro, Yamada, Keigo, Nakai, Kumi, Saito, Yuji, Asai, Keisuke, Nonomura, Taku
Publikováno v:
Experiments in Fluids 63, Article number: 143 (2022)
In this paper, we overview, evaluate, and demonstrate the sparse processing particle image velocimetry (SPPIV) as a real-time flow field estimation method using the particle image velocimetry (PIV), whereas SPPIV was previously proposed with its feas
Externí odkaz:
http://arxiv.org/abs/2207.06774
Autor:
Nagata, Takayuki, Nakai, Kumi, Yamada, Keigo, Saito, Yuji, Nonomura, Taku, Kano, Masayuki, Ito, Shin-ichi, Nagao, Hiromichi
A seismic wavefield reconstruction framework based on compressed sensing using the data-driven reduced-order model (ROM) is proposed and its characteristics are investigated through numerical experiments. The data-driven ROM is generated from the dat
Externí odkaz:
http://arxiv.org/abs/2206.09231
Autor:
Nakai, Kumi, Nagata, Takayuki, Yamada, Keigo, Saito, Yuji, Nonomura, Taku, Kano, Masayuki, Ito, Shin-ichi, Nagao, Hiromichi
Publikováno v:
Geophysical Journal International, Volume 234, Issue 3, September 2023, Pages 1786-1805
The ``big'' seismic data not only acquired by seismometers but also acquired by vibrometers installed in buildings and infrastructure and accelerometers installed in smartphones will be certainly utilized for seismic research in the near future. Sinc
Externí odkaz:
http://arxiv.org/abs/2206.04273
Autor:
Inoba, Ryoma, Uchida, Kazuki, Iwasaki, Yuto, Nagata, Takayuki, Ozawa, Yuta, Saito, Yuji, Nonomura, Taku, Asai, Keisuke
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics Volume 227, August 2022, 105043
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 optimized sparse pressure sensors. Positions of sparse pressure sensor
Externí odkaz:
http://arxiv.org/abs/2205.07513
Publikováno v:
IEEE Transactions on Signal Processing 70 (2022) 5251-5264
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 on proximal optimization and determines sensor locations by minimizin
Externí odkaz:
http://arxiv.org/abs/2205.06067
Publikováno v:
IEEE Sensors Journal (2023)
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 straightforwardly to the group-greedy method, and a customized method is
Externí odkaz:
http://arxiv.org/abs/2205.04161
Publikováno v:
IEEE Transactions on Signal Processing, vol. 70, pp. 5694-5707, 2022
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 of experiments. The proposed method simultaneously considers multiple
Externí odkaz:
http://arxiv.org/abs/2204.12695
Optimization of sensor selection has been studied to monitor complex and large-scale systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor selection is presented under the assumption of correlated noise in the sensor
Externí odkaz:
http://arxiv.org/abs/2104.12951
Publikováno v:
Sensors, Vol. 21, No. 4, 1062 (2021)
The effects of oxygen mole fraction on the static properties of pressure-sensitive paint (PSP) were investigated. Sample coupon tests using a calibration chamber were conducted for polymer-based PSP (PHFIPM-PSP), polymer/ceramic PSP (PC-PSP), and ano
Externí odkaz:
http://arxiv.org/abs/2012.15696