Results 51 to 60 of about 2,984,023 (326)

Finite-frequency sensitivity of body waves to anisotropy based upon adjoint methods [PDF]

open access: yes, 2007
We investigate the sensitivity of finite-frequency body-wave observables to mantle anisotropy based upon kernels calculated by combining adjoint methods and spectral-element modelling of seismic wave propagation.
Liu, Qinya   +3 more
core   +1 more source

Temporal and spatial evolution law of characteristic parameters for coal rock fracture induced seismic wave

open access: yesJournal of Industrial Safety
Quantitative study of the temporal and spatial evolution of seismic wave characteristic parameters is of great significance for accurately identifying the P-wave and S-wave in seismic waves and improving the accuracy in localizing microseismic events ...
Zhongquan Kang   +5 more
doaj   +1 more source

Study on Seismic Attenuation Based on Wave-Induced Pore Fluid Dissolution and Its Application

open access: yesApplied Sciences, 2022
Seismic wave attenuation is affected by wave-induced pore fluid dissolution. The mechanism of wave-induced pore fluid dissolution is the mutual dissolution between different fluids caused by pore fluid pressure.
Ziqi Jin   +3 more
doaj   +1 more source

Near‐Field Acoustic Imaging Using Fiber‐Optic Distributed Acoustic Sensing and Beamforming Techniques

open access: yesAdvanced Science, EarlyView.
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Marcelo A. Soto   +1 more
wiley   +1 more source

Towards the azimuthal characteristics of ionospheric and seismic effects of "Chelyabinsk" meteorite fall according to the data from coherent radar, GPS and seismic networks

open access: yes, 2015
We present the results of a study of the azimuthal characteristics of ionospheric and seismic effects of the meteorite 'Chelyabinsk', based on the data from the network of GPS receivers, coherent decameter radar EKB SuperDARN and network of seismic ...
Bakhtiyarov, V. F.   +8 more
core   +1 more source

Space-weighted seismic attenuation mapping of the aseismic source of Campi Flegrei 1983-84 unrest [PDF]

open access: yes, 2017
Peer reviewedPublisher ...
Amoruso, A   +5 more
core   +1 more source

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

open access: yesAdvanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa   +6 more
wiley   +1 more source

Discussion on “Impact of orientation of blast initiation on ground vibrations” [J Rock Mech Geotech Eng 15 (2022) 255–261]

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2023
Recently, Garai et al. (2022) published a paper on the impact of orientation of blast initiation on ground vibrations. However, some of the claims are not supported by the results of the given tests. In Fig. 1 (see Fig.
Tadeusz Chrzan
doaj   +1 more source

S wave velocity structure below central Mexico using high-resolution surface wave tomography [PDF]

open access: yes, 2010
Shear wave velocity of the crust below central Mexico is estimated using surface wave dispersion measurements from regional earthquakes recorded on a dense, 500 km long linear seismic network.
Clayton, R. W.   +6 more
core   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy