Results 1 to 10 of about 7,666,006 (325)

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI [PDF]

open access: yesSASHIMI@MICCAI, 2023
In this work, we propose a realistic, physics-aware motion simulation procedure for T2*-weighted magnetic resonance imaging (MRI) to improve learning-based motion correction.
H. Eichhorn   +6 more
semanticscholar   +1 more source

Hair Motion Simulation [PDF]

open access: yes, 2004
Hair motion simulation in computer graphics has been an attraction for many researchers. The application we have developed has been inspired by the related previous work as well as our own efforts in finding useful algrithms to handle this problem. The work we present uses a set of representations, including hair strands, clusters and strips, that are ...
Sahillioglu, Y., Özgüç, B.
openaire   +2 more sources

Simulating Reach Motions [PDF]

open access: yesSAE Technical Paper Series, 1999
<div class="section abstract"><div class="htmlview paragraph">Modeling normal human reach behavior is dependent on many factors. Anthropometry, age, gender, joint mobility and muscle strength are a few such factors related to the individual being modeled.
Don B. Chaffin   +2 more
openaire   +1 more source

Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints’ Limitations

open access: yesIEEE Transactions on Vehicular Technology, 2020
Motion simulation platforms (MSPs) are widely used to generate driving/flying motion sensations for the users. The MSPs have a restricted workspace area due to the dynamical and physical restrictions of the Motion Platforms active joints as well as the ...
Mohammad Reza Chalak Qazani   +5 more
semanticscholar   +1 more source

Deep Learning in MR Motion Correction: a Brief Review and a New Motion Simulation Tool (view2Dmotion)

open access: yesInvestigative Magnetic Resonance Imaging, 2020
With the development of deep-learning techniques, the application of deep learning in MR imaging processing seems to be growing. Accordingly, deep learning has also been introduced in motion correction and seemed to work as well as do conventional motion-
S. Lee   +3 more
semanticscholar   +1 more source

Dynamics Modeling and Motion Simulation of USV/UUV with Linked Underwater Cable

open access: yesJournal of Marine Science and Engineering, 2020
This paper describes a study on the dynamic modeling and the motion simulation of an unmanned ocean platform to overcome the limitations of existing unmanned ocean platforms for ocean exploration.
S. Hong, K. Ha, Joon-Young Kim
semanticscholar   +1 more source

Direct numerical simulation of dispersed particles in a compressible fluid [PDF]

open access: yes, 2012
We present a direct numerical simulation method for investigating the dynamics of dispersed particles in a compressible solvent fluid. The validity of the simulation is examined by calculating the velocity relaxation of an impulsively forced spherical ...
G. Erlebacher   +3 more
core   +2 more sources

Hybrid broadband ground motion simulation validation of small magnitude earthquakes in Canterbury, New Zealand

open access: yesEarthquake spectra, 2020
Ground motion simulation validation is an important and necessary task toward establishing the efficacy of physics-based ground motion simulations for seismic hazard analysis and earthquake engineering applications.
Robin L. Lee   +4 more
semanticscholar   +1 more source

Elementary simulation of tethered Brownian motion [PDF]

open access: yes, 2006
We describe a simple numerical simulation, suitable for an undergraduate project (or graduate problem set), of the Brownian motion of a particle in a Hooke-law potential well.
Berg H.   +8 more
core   +4 more sources

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