Results 241 to 250 of about 69,824 (264)

Accelerated Monte Carlo Rendering of Finite-Time Lyapunov Exponents

IEEE Transactions on Visualization and Computer Graphics, 2019
Time-dependent fluid flows often contain numerous hyperbolic Lagrangian coherent structures, which act as transport barriers that guide the advection. The finite-time Lyapunov exponent is a commonly-used approximation to locate these repelling or attracting structures.
Baeza Rojo, Irene; id_orcid0000-0002-3858-6612, Gross, Markus, Günther, Tobias   +2 more
openaire   +3 more sources

Analysis of body responses to an accelerating platform by the largest-Lyapunov-exponent method

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2008
Various disciplines have benefited from the advent of high-performance computing in achieving practical solutions to their problems, and the area of health care is no exception to this. Non-linear signal-processing tools have been developed to understand the hidden complexity of the time series, and these will help clinicians in diagnosis and ...
U R, Acharya, S C, Goh, K, Iijima, M, Sekine, T, Tamura   +4 more
openaire   +2 more sources

Acceleration of the gradual degradation in (GaAl)As double-heterostructure lasers as an exponent of the value of the driving current

Journal of Applied Physics, 1979
Double-heterostructure (GaAl)As lasers are tested at various temperatures and driving conditions, including spontaneous mode operation. Results show that the rate of degradation is primarily determined by driving current rather than optical output when aging at optical outputs of 10 mW/facet or less and heat-sink temperatures of 50–100 °C.
Ken’ichi Mizuishi, Naoki Chinone, Hitoshi Sato, Ryoichi Ito   +3 more
openaire   +1 more source

Erratum: “Fractional Brownian motion with random Hurst exponent: Accelerating diffusion and persistence transitions” [Chaos 32, 093114 (2022)]

Chaos: An Interdisciplinary Journal of Nonlinear Science
We point out a minor mistake in Fig. 10 in the published version of our paper [M. Balcerek et al., Chaos 32, 093114 (2022)]. The conclusions drawn from the illustration remain the same.
Michał Balcerek, Krzysztof Burnecki, Samudrajit Thapa, Agnieszka Wyłomańska, Aleksei Chechkin   +4 more
openaire   +1 more source

GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrödinger Equation

2023
Yea Rem Choi, Vladimir Stegailov
openaire   +1 more source

LYAPUNOV EXPONENT ESTIMATION FOR HUMAN GAIT ACCELERATION SIGNALS

Journal of Biomechanics, 2007
T.M. TenBroek, R.E.A. Van Emmerik, C.J. Hasson, J. Hamill   +3 more
openaire   +1 more source

A facile method for Tauc exponent and corresponding electronic transitions determination in semiconductors directly from UV–Vis spectroscopy data

Optical Materials, 2022
Łukasz Haryński, Adrian Olejnik, Katarzyna Grochowska   +2 more
exaly  

Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms

Measurement: Journal of the International Measurement Confederation, 2021
T Mohanraj
exaly  

Kibble-Zurek exponent and chiral transition of the period-4 phase of Rydberg chains

Nature Communications, 2021
Natalia Chepiga, Frederic Mila
exaly  

Behavioral and cognitive correlates of the aperiodic (1/f-like) exponent of the EEG power spectrum in adolescents with and without ADHD

Developmental Cognitive Neuroscience, 2021
Brendan D Ostlund, Brittany R Alperin, Sarah L Karalunas   +2 more
exaly