Results 121 to 130 of about 144,951 (303)

Assessment of power spectral density of microvascular hemodynamics in skeletal muscles at very low and low-frequency via near-infrared diffuse optical spectroscopies. [PDF]

open access: yesBiomed Opt Express, 2023
Amendola C   +21 more
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar   +2 more
wiley   +1 more source

Power spectral density estimation of tweeting activity for each class.

open access: yes, 2013
Log-log plots showing power spectral density (power per frequency in units of dB/Hz) vs. frequency (Hz) for each account class. This scale-free relationship suggests that there are no relevant dominant frequencies in tweeting activity.
Gabriela Tavares (430357)   +1 more
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Investigation and development of DSP algorithms/hardware for real time power spectral density estimation [PDF]

open access: yes, 1993
This research is concerned with the Power Spectrum Density Estimation with em- phasIze on the bigh-resolution algorithms and their real-time implementations. Tl-ie classical PSD estimation methods are fast and robust.
Sung-Yuan, Ko
core  

Simulation Study of Stochastic Wind Field of Catenaries with Spatial Correlativity

open access: yes机车电传动, 2010
According to catenary construction, at unreduced precision, a multivariable simulation model of catenary stochastic pulsation wind field based on the harmonic synthesis was proposed, which properly simplifies wind speed coherence function and power ...
曹树森, 秦剑, 柯坚, 刘晓红
doaj  

Enhanced Classification of Video-Evoked Stress Response Using Power Spectral Density Features

open access: yesApplied Sciences
The analysis of stress in response to videos using electroencephalography (EEG) has emerged as a significant field of research. In this study, we propose a methodology for classifying stress responses to videos using the Database for Emotion Analysis ...
Madiha Anjum   +3 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

Generalized spectral tests for the martingale difference hypothesis [PDF]

open access: yes, 2003
^aThis article proposes a test for the Martingale Difference Hypothesis (MDH) using dependence measures related to the characteristic function. The MDH typically has been tested using the sample autocorrelations or in the spectral domain using the ...
Velasco Gómez, Carlos   +4 more
core  

ECoG data: spectral power.

open access: yes, 2013
Mean spectral density and cross power spectral density of two ECoG channels, averaged across trials. The errorbars represent the standard error computed across trials.
Vasily A. Vakorin (287766)   +4 more
core   +1 more source

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