Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Václav Šmídl"'
Publikováno v:
Actuators, Vol 12, Iss 1, p 15 (2022)
We are concerned with the problem of fast and accurate tracking of currents in the general synchronous drive. The problem becomes complicated with decreasing available voltage, which is common in high-speed and field weakening regimes. The existing t
Externí odkaz:
https://doaj.org/article/4a3c9ffec3de4b6eabbce94f800b3f2f
Publikováno v:
Sensors, Vol 22, Iss 10, p 3865 (2022)
The estimation of the speed of human motion from wearable IMU sensors is required in applications such as pedestrian dead reckoning. In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost I
Externí odkaz:
https://doaj.org/article/a475305f582c4e8ea92666783f2d4813
Publikováno v:
Sensors, Vol 20, Iss 14, p 3824 (2020)
A new predictor–corrector filter for attitude and heading reference systems (AHRS) using data from an orthogonal sensor combination of three accelerometers, three magnetometers and three gyroscopes is proposed. The filter uses the predictor—corre
Externí odkaz:
https://doaj.org/article/1f0a2e062c7d470d9c59c26b07ec2b47
Autor:
Alecksey Anuchin, Galina L. Demidova, Chen Hao, Alexandr Zharkov, Andrei Bogdanov, Václav Šmídl
Publikováno v:
Energies, Vol 13, Iss 13, p 3317 (2020)
A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise to
Externí odkaz:
https://doaj.org/article/a8a32e0cbe0d492d8a39bb9997686b12
We propose an inversion methodology that allows to estimate large-scale spatio-temporal emission profiles from deposition measurements of airborne microplastics from the Western USA. Traditionally, each spatio-temporal element is solved separately us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a951c662ab5956031a24ea12feb1791
https://doi.org/10.5194/egusphere-egu23-12619
https://doi.org/10.5194/egusphere-egu23-12619
The goal of this contribution is to explore two-stage inversion algorithm for spatio-temporal emission estimation (2D and time) from deposition measurements of microplastics and microfibers from Western USA. We consider the linear inversion model for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5b371a02fc1bcb6f02662c4cccec38
https://doi.org/10.5194/egusphere-egu22-5424
https://doi.org/10.5194/egusphere-egu22-5424
Publikováno v:
Plasma Physics and Controlled Fusion. 64:125004
Correct and timely detection of plasma confinement regimes and edge localized modes (ELMs) is important for improving the operation of tokamaks. Existing machine learning approaches detect these regimes as a form of post-processing of experimental da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39c1d6f2637cef7a640ccdb831bdfcab
https://doi.org/10.1088/1361-6587/ac9926
https://doi.org/10.1088/1361-6587/ac9926
Abstract Low concentrations of 106Ru were detected across Europe at the turn of September and October 2017. The origin of 106Ru has still not been confirmed; however, current studies agree that the release occurred probably near Mayak in the southern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc0ab15855aee597df82c156277d2b77
https://doi.org/10.5194/amt-2020-205
https://doi.org/10.5194/amt-2020-205
Estimation of the temporal profile of an atmospheric release, also called the source term, is an important problem in environmental sciences. The problem can be formalized as a linear inverse problem where the unknown source term is optimized to mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae078c9f08cfa274c44c30577399fef0
https://gmd.copernicus.org/preprints/gmd-2020-121/
https://gmd.copernicus.org/preprints/gmd-2020-121/