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Análisis comparativo de los modelos dinámicos de una turbina eólica de velocidad fijaComparative analisys of dinamics models of a fixed speed wind turbine
(Universidad Politécnica Salesiana, 2016)
An energy-efficient hierarchical architecture for time-interleaved SAR ADC
(Institute of Electrical and Electronics Engineers, 2019-06)
An energy-efficient sampling architecture for time interleaved (TI) successive approximation register (SAR) analog-to-digital converters (ADCs) is proposed. The architecture avoids the use of sampling buffers in order to ...
High-speed and high-resolution interrogation of FBG sensors using wavelength-to-time mapping and Gaussian filters
(Optical Society of America, 2019-12)
In this work we report a novel intensity-based technique for simultaneous high-speed and high-resolution interrogation of fiber Bragg grating (FBG) sensors. The method uses a couple of intensity Gaussian filters and the ...
MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI
(Institute of Electrical and Electronics Engineers, 2017)
In this paper, we combine high-performance com- puting science with computational neuroscience methods to show how to speed-up cutting edge methods for mapping and evaluation of the large-scale network of brain connections. ...
Linear model for the identification of critical speeds in an MCIA turbochargerLinear model for the identification of critical speeds in an MCIA turbocharger
(Universidad Politécnica Salesiana, 2014)
Wind trends analysis in southern South America from weather station and reanalysis data
(Royal Meteorological Society, 2022-03)
Surface and upper-level wind speed changes were analysed for several weather stations distributed throughout Argentina from 1990 to 2020. Both annual and seasonal wind speed trends were estimated for individual surface ...
Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks
(Wiley Blackwell Publishing, Inc, 2020-01)
Building accurate movement decoding models from brain signals is crucial for many biomedical applications. Predicting specific movement features, such as speed and force, before movement execution may provide additional ...
GPU parallelization of a hybrid pseudospectral geophysical turbulence framework using CUDA
(Molecular Diversity Preservation International, 2020-02)
An existing hybrid MPI-OpenMP scheme is augmented with a CUDA-based fine grain parallelization approach for multidimensional distributed Fourier transforms, in a well-characterized pseudospectral fluid turbulence code. ...