Forecasting Network Traffic at Large Time Scales by Using Dual-Related Method

2017 ◽  
Vol E100.B (11) ◽  
pp. 2049-2059
Author(s):  
Liangrui TANG ◽  
Shiyu JI ◽  
Shimo DU ◽  
Yun REN ◽  
Runze WU ◽  
...  
Keyword(s):  
Time Scales ◽  
Network Traffic ◽  
Large Time ◽  
Related Method

scholarly journals Universal spectral profile and dynamic evolution of muscle activation: a hallmark of muscle type and physiological state

2020 ◽  
Vol 129 (3) ◽  
pp. 419-441 ◽  
Author(s):  
Sergi Garcia-Retortillo ◽  
Rossella Rizzo ◽  
Jilin W. J. L. Wang ◽  
Carol Sitges ◽  
Plamen Ch. Ivanov
Keyword(s):  
Time Scales ◽  
Muscle Activation ◽  
Large Time ◽  
Maximal Exercise ◽  
Muscle Tone ◽  
Physiological State ◽  
Dynamic Evolution ◽  
Spectral Profile ◽  
Muscle Type ◽  
Evolution Path

To understand coordinated function of distinct fibers in a muscle, we investigated spectral dynamics of muscle activation during maximal exercise across a range of frequency bands and time scales of observation. We discovered a spectral profile that is specific for each muscle type, robust at short, intermediate, and large time scales, universal across subjects, and characterized by a muscle-specific evolution path with accumulation of fatigue and aging, indicating a previously unrecognized multiscale mechanism of muscle tone regulation.

scholarly journals Bloch-Wave Homogenization on Large Time Scales and Dispersive Effective Wave Equations

2014 ◽  
Vol 12 (2) ◽  
pp. 488-513 ◽  
Author(s):  
T. Dohnal ◽  
A. Lamacz ◽  
B. Schweizer
Keyword(s):  
Time Scales ◽  
Wave Equations ◽  
Large Time ◽  
Bloch Wave ◽  
Effective Wave

scholarly journals Normality of Ethernet Traffic at Large Time Scales

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhiping Lu ◽  
Ming Li ◽  
Wei Zhao
Keyword(s):  
Time Scales ◽  
Time Scale ◽  
Large Time ◽  
Statistical Tests ◽  
Traffic Data ◽  
Different Time Scales

We contribute the quantitative descriptions of the large time scales for the Ethernet traffic to be Gaussian. We focus on the normality property of the accumulated traffic data under different time scales. The investigation is carried out graphically by the quantile-quantile (QQ) plots and numerically by statistical tests. The present results indicate that the larger the time scale, the more normal the Ethernet traffic.

scholarly journals Seismic studies of planet-harbouring stars

2013 ◽  
Vol 9 (S301) ◽  
pp. 353-358
Author(s):  
Sylvie Vauclair
Keyword(s):  
Time Scales ◽  
Large Time ◽  
Large Data ◽  
Precise Determination ◽  
Small Time ◽  
Light Curves ◽  
Stellar Oscillations ◽  
The Past ◽  
Central Stars

AbstractDuring the past decades, stellar oscillations and exoplanet searches were developed in parallel, and the observations were done with the same instruments: radial velocity method, essentially with ground-based instruments, and photometric methods (light curves) from space. The same observational data on one star could lead to planet discoveries at large time scales (days to years) and to the detection of stellar oscillations at small time scales (minutes), such as for the star μ Arae. Since the beginning, it seemed interesting to investigate the differences between stars with and without observed planets. Also, a precise determination of the stellar parameters is important to characterize the detected exoplanets. With the thousands of exoplanet candidates discovered by Kepler, automatic procedures and pipelines are needed with large data bases to characterize the central stars. However, precise asteroseismic studies of well-chosen stars are still important for a deeper insight.

scholarly journals On the Superposition of Heterogeneous Traffic at Large Time Scales

2011 ◽  
Vol 1 (2) ◽  
pp. 209-245
Author(s):  
Luis López-Oliveros ◽  
Sidney I. Resnick
Keyword(s):  
Time Scales ◽  
Large Time ◽  
Heterogeneous Traffic

scholarly journals Galaxies Unveiled: Rest-frame UV Clumps at 0.5 < z < 1.5

2016 ◽  
Vol 11 (S321) ◽  
pp. 364-365
Author(s):  
Emmaris Soto ◽  
Duilia F. de Mello ◽  
Marc A. Rafelski ◽  
Jonathan P. Gardner ◽  
Anton M. Koekemoer
Keyword(s):  
Star Formation ◽  
High Resolution ◽  
Galaxy Evolution ◽  
Time Scales ◽  
Rest Frame ◽  
Large Time ◽  
Hubble Space Telescope ◽  
High Redshift ◽  
High Redshift Galaxies ◽  
Intermediate Redshifts

AbstractStudies of high redshift galaxies reveal compact sub-galactic regions of star formation, known as ‘clumps’. These ‘clumpy’ galaxies are useful for the study of galactic outskirts by enabling us to examine the radial progression of clumps over large time scales. We use the first deep high resolution NUV image from the Hubble Space Telescope covering intermediate redshifts to explore the implications this radial progression may have on galaxy evolution. From the analysis of 209 clumpy galaxies, we find that higher redshift clumps dominate the outer regions of galactic outskirts. This indicates that clumps may be migrating from the outskirts inward toward their galactic centers.

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