Articles with "field reconstruction" as a keyword



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Temperature-field reconstruction algorithm based on reflected sigmoidal radial basis function and QR decomposition

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Published in 2020 at "Applied Thermal Engineering"

DOI: 10.1016/j.applthermaleng.2020.114987

Abstract: Abstract Information on temperature-field distribution can reflect the combustion state within utility boiler furnaces, which is conducive for the formulation of control strategies to ensure safe boiler operation; therefore, it is significant for the realization… read more here.

Keywords: reconstruction; temperature; field reconstruction; reconstruction algorithm ... See more keywords
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Field reconstruction and off-design performance prediction of turbomachinery in energy systems based on deep learning techniques

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Published in 2022 at "Energy"

DOI: 10.1016/j.energy.2021.121825

Abstract: Abstract Obtaining the off-design characteristics of core components such as turbines and compressors is the basis of off-design analysis for energy systems. However, the characteristics are difficult to accurately acquire in the initial design stage… read more here.

Keywords: field reconstruction; performance prediction; design;
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Optimal and fast field reconstruction with reduced basis and limited observations: Application to reactor core online monitoring

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Published in 2021 at "Nuclear Engineering and Design"

DOI: 10.1016/j.nucengdes.2021.111113

Abstract: Abstract The fast reconstruction of neutronic field in a nuclear core using reduced modeling and limited observations has attracted considerable attention. In particular, four design parameters are considered for developing efficient and robust field reconstruction… read more here.

Keywords: reconstruction; field; field reconstruction; reduced basis ... See more keywords
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Remote dipole field reconstruction with dusty galaxies

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Published in 2020 at "Physical Review D"

DOI: 10.1103/physrevd.102.043520

Abstract: The kinetic Sunyaev Zel'dovich (kSZ) effect, cosmic microwave background (CMB) temperature anisotropies induced by scattering of CMB photons from free electrons, forms the dominant blackbody component of the CMB on small angular scales. Future CMB… read more here.

Keywords: field; dipole field; field reconstruction; cmb ... See more keywords
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On the Field-Reconstruction Method for Electromagnetic Modeling of Resolvers

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3224527

Abstract: In this article, field-reconstruction method (FRM) is proposed for predicting the performance of different types of rotational resolvers, including wound-rotor (WR) and variable reluctance (VR) ones. The main features of the developed method are comparable… read more here.

Keywords: reconstruction method; modeling resolvers; method electromagnetic; field reconstruction ... See more keywords
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Boundary-Element Methods for Field Reconstruction in Accelerator Magnets

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Published in 2020 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2019.2952092

Abstract: Magnetic fields in the aperture of particle accelerator magnets can be represented by boundary potentials, exploiting Kirchhoff’s integral equation. Depending on the formulation, magnetic measurement data can be represented by the discrete approximations of Dirichlet… read more here.

Keywords: reconstruction; accelerator magnets; field; field reconstruction ... See more keywords
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Sensor Placement for Field Reconstruction in Rotating Electrical Machines

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Published in 2021 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2021.3072095

Abstract: A method is proposed in this article to place sensors in an electrical machine in order to be able to reconstruct the magnetic field distribution. This method is based on the empirical interpolation method combined… read more here.

Keywords: field; reconstruction rotating; field reconstruction; sensor placement ... See more keywords
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Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications

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Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2018.2845393

Abstract: In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstruction can be efficiently modeled as angular restoration on… read more here.

Keywords: field; extended applications; field reconstruction; light field ... See more keywords
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Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks With Stochastic Energy Harvesting

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Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2018.2802452

Abstract: We address the two fundamental problems of spatial field reconstruction and sensor selection in heterogeneous sensor networks. We consider the case where two types of sensors are deployed: the first consists of expensive, high quality… read more here.

Keywords: spatial field; sensor; field reconstruction; selection ... See more keywords
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Multiagent Light Field Reconstruction and Maneuvering Target Recognition via GAN

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Published in 2019 at "Mathematical Problems in Engineering"

DOI: 10.1155/2019/9710974

Abstract: The lack of sample data and the limited visual range of a single agent during light field reconstruction affect the recognition of maneuvering targets. In view of the above problems, this paper introduces generative adversarial… read more here.

Keywords: field; target recognition; light field; field reconstruction ... See more keywords
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Doppler effect as a tool for ultrashort electric field reconstruction.

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Published in 2020 at "Optics letters"

DOI: 10.1364/ol.402935

Abstract: We present a new, to the best of our knowledge, variant of the spectral-shearing interferometry method for characterizing ultrashort laser pulses. This original approach, called Doppler effect e-field replication (DEER), exploits the rotational Doppler effect… read more here.

Keywords: doppler effect; electric field; field reconstruction; effect ... See more keywords