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Journal articles on the topic 'Velocity'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lee, Hyun Seok, Ki Won Lee, Hyung Jin Shin, Seung Jin Maeng та In Seong Park. "표면유속과 평균유속의 관계 고찰". Crisis and Emergency Management: Theory and Praxis 19, № 1 (2023): 111–20. http://dx.doi.org/10.14251/crisisonomy.2023.19.1.111.

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Surface velocity measurement using electromagnetic waves is common in flood season discharge surveys in Korea. In order to expand the relatively safe non-contact discharge survey, this study investigated the reliability of the coefficient that converts surface velocity to mean velocity in rivers and waterways. Surface and mean velocity were investigated for agricultural reservoir spillways, gravel rivers, and irrigation canals, and the volumetric capacity of agricultural reservoirs was confirmed. As a result of the investigation, the mean velocity conversion coefficients according to the river

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2

García-Ramos, Amador, Francisco L. Pestaña-Melero, Alejandro Pérez-Castilla, Francisco J. Rojas, and G. Gregory Haff. "Mean Velocity vs. Mean Propulsive Velocity vs. Peak Velocity." Journal of Strength and Conditioning Research 32, no. 5 (2018): 1273–79. http://dx.doi.org/10.1519/jsc.0000000000001998.

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3

Cojanovic, Milos. "Stellar Distance and Velocity (II)." International Journal of Science and Research (IJSR) 8, no. 9 (2019): 275–82. http://dx.doi.org/10.21275/art2020906.

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4

Byun, Joongmoo. "Automatic Velocity Analysis Considering Anisotropy." Journal of the Korean Society of Mineral and Energy Resources Engineers 50, no. 1 (2013): 11. http://dx.doi.org/10.12972/ksmer.2013.50.1.011.

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5

Turner, Marie. "Velocity." Fourth Genre 25, no. 2 (2023): 38–52. http://dx.doi.org/10.14321/fourthgenre.25.2.0038.

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6

Baumgarten, Chelsea. "Velocity." Sewanee Review 133, no. 1 (2025): 81–102. https://doi.org/10.1353/sew.2025.a951040.

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7

Wang, Hongsong, Liang Wang, Jiashi Feng, and Daquan Zhou. "Velocity-to-velocity human motion forecasting." Pattern Recognition 124 (April 2022): 108424. http://dx.doi.org/10.1016/j.patcog.2021.108424.

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8

Rowell, A. L., C. S. Williams, and D. W. Hill. "CRITICAL VELOCITY IS MINIMAL VELOCITY 101." Medicine &amp Science in Sports &amp Exercise 28, Supplement (1996): 17. http://dx.doi.org/10.1097/00005768-199605001-00101.

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9

Lazarus, Max J. "Group Velocity Is Not Signal Velocity." Physics Today 56, no. 8 (2003): 14. http://dx.doi.org/10.1063/1.1611340.

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10

SAWADA, SHIRO. "OPTIMAL VELOCITY MODEL WITH RELATIVE VELOCITY." International Journal of Modern Physics C 17, no. 01 (2006): 65–73. http://dx.doi.org/10.1142/s0129183106009084.

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The optimal velocity model which depends not only on the headway but also on the relative velocity is analyzed in detail. We investigate the effect of considering the relative velocity based on the linear and nonlinear analysis of the model. The linear stability analysis shows that the improvement in the stability of the traffic flow is obtained by taking into account the relative velocity. From the nonlinear analysis, the relative velocity dependence of the propagating kink solution for traffic jam is obtained. The relation between the headway and the velocity and the fundamental diagram are

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11

Haitjema, Henk M., and Mary P. Anderson. "Darcy Velocity Is Not a Velocity." Groundwater 54, no. 1 (2015): 1. http://dx.doi.org/10.1111/gwat.12386.

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12

AYAKO, Yagi, Hiroshi TAKIMOTO, Chusei FUJIWARA, Atsushi INAGAKI, Yasushi FUJIYOSHI, and Manabu KANDA. "ESTIMATION OF CIRCUMFERENTIAL VELOCITY FROM OBSERVED RADIAL VELOCITY---Velocity Image Velocimetry(VIV)---." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 68, no. 4 (2012): I_1783—I_1788. http://dx.doi.org/10.2208/jscejhe.68.i_1783.

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13

Roh, Young-Sin, Byungman Yoon, and Kwonkyu Yu. "Estimatation of Mean Velocity from Surface Velocity." Journal of Korea Water Resources Association 38, no. 11 (2005): 917–25. http://dx.doi.org/10.3741/jkwra.2005.38.11.917.

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14

McDermott, G. "Velocity index factor sensitivity to velocity distribution." Australasian Journal of Water Resources 12, no. 3 (2008): 205–22. http://dx.doi.org/10.1080/13241583.2008.11465348.

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15

Hill, Reginald J. "Pressure–velocity–velocity statistics in isotropic turbulence." Physics of Fluids 8, no. 11 (1996): 3085–93. http://dx.doi.org/10.1063/1.869082.

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16

Fomel, Sergey. "Time‐migration velocity analysis by velocity continuation." GEOPHYSICS 68, no. 5 (2003): 1662–72. http://dx.doi.org/10.1190/1.1620640.

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Time‐migration velocity analysis can be performed by velocity continuation, an incremental process that transforms migrated seismic sections according to changes in the migration velocity. Velocity continuation enhances residual normal moveout correction by properly taking into account both vertical and lateral movements of events on seismic images. Finite‐difference and spectral algorithms provide efficient practical implementations for velocity continuation. Synthetic and field data examples demonstrate the performance of the method and confirm theoretical expectations.

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17

Suzuki, Takahiko. "Angular velocity sensor and angular velocity detector." Journal of the Acoustical Society of America 123, no. 1 (2008): 19. http://dx.doi.org/10.1121/1.2832822.

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18

Dong, Li-yun, Xu-dan Weng, and Qing-ding Li. "Velocity anticipation in the optimal velocity model." Journal of Shanghai University (English Edition) 13, no. 4 (2009): 327–32. http://dx.doi.org/10.1007/s11741-009-0415-3.

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19

Smith, A. T. "Velocity coding: Evidence from perceived velocity shifts." Vision Research 25, no. 12 (1985): 1969–76. http://dx.doi.org/10.1016/0042-6989(85)90021-5.

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20

Barron, J. L., R. E. Mercer, X. Chen, and P. Joe. "3D velocity from 3D Doppler radial velocity." International Journal of Imaging Systems and Technology 15, no. 3 (2005): 189–98. http://dx.doi.org/10.1002/ima.20048.

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21

Mccormack, Tyler, and Julia Hopkins. "PREDICTING INSTANTANEOUS SUBSURFACE VELOCITY USING SURFACE VELOCITY." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 103. https://doi.org/10.9753/icce.v38.management.103.

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Instantaneous measurements of water velocity at depth in the nearshore are rich with information about orbital velocities, longshore and cross shore currents, and forces that lead to sediment transport. Yet measurements of detailed subsurface velocities are scarce owing to the difficulties involved in installing and maintaining instruments such as acoustic velocimeters in high energy environments like the surf zone [Thornton and Guza, 1986]. Deploying in-situ instruments to measure velocity profiles often involves heavy machinery (e.g. cranes, waterjets, tripods, boats) and after deployment th

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22

ROTARU, Constantin. "NUMERICAL SOLUTIONS FOR COMBUSTION WAVE VELOCITY." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (2019): 184–93. http://dx.doi.org/10.19062/2247-3173.2019.21.25.

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23

Guo, Yong Ming. "Computer Modeling of Extrusion by the Rigid-Plastic Hybrid Element Method." Materials Science Forum 505-507 (January 2006): 703–8. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.703.

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In this paper, a rigid-plastic hybrid element method is formulated, which is a mixed approach of the rigid-plastic domain-BEM and the rigid-plastic FEM based on the theory of slightly compressible plasticity. Since compatibilities of velocity and velocity's derivative between adjoining boundary elements and finite elements can be met, the velocity and the derivative of velocity can be calculated with the same precision for this hybrid element method. While, the compatibility of the velocity's derivative cannot be met for the rigid-plastic FEMs.

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24

Yan, Xiao He, and Shao Xing Su. "Model Predictive Control for Velocity Tracking in Full-Motor Injection Molding." Advanced Materials Research 271-273 (July 2011): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.541.

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Because very high or low velocity tracking will influence on product quality, velocity tracking must be proper high. So Controller of tall requirement is putting forward, we achieve veloctiy control requirements with model predictive control, get predictive control model and simulation curve to increase control efficiency.

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25

Busse, Bret, Gregg Taylor, Kiran Tamvada, and Kais Al-Rawi. "Terminal Velocity." Civil Engineering Magazine 91, no. 1 (2021): 56–61. http://dx.doi.org/10.1061/ciegag.0001555.

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26

IOKA, Seiichiro. "Groundwater Velocity." Journal of Japanese Association of Hydrological Sciences 51, no. 3 (2021): 65–66. http://dx.doi.org/10.4145/jahs.51.65.

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27

Baker, D. N., T. A. Fritz, and P. A. Bernhardt. "Plasmoid Velocity." Science 243, no. 4892 (1989): 713. http://dx.doi.org/10.1126/science.243.4892.713.d.

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28

Divall, Colin. "Civilising Velocity." Journal of Transport History 32, no. 2 (2011): 164–91. http://dx.doi.org/10.7227/tjth.32.2.4.

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29

Rogerson, S. "Escape velocity." Power Engineer 18, no. 6 (2004): 16. http://dx.doi.org/10.1049/pe:20040603.

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30

Baker, D. N., T. A. Fritz, and P. A. Bernhardt. "Plasmoid Velocity." Science 243, no. 4892 (1989): 713. http://dx.doi.org/10.1126/science.243.4892.713-c.

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31

Herbert, Steven, and Terrence Toepker. "Terminal velocity." Physics Teacher 37, no. 2 (1999): 96–97. http://dx.doi.org/10.1119/1.880189.

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32

Maerfeld, Charles, Michel Josserand, and Claude Gragnolati. "Velocity hydrophone." Journal of the Acoustical Society of America 79, no. 4 (1986): 1204. http://dx.doi.org/10.1121/1.393717.

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33

Bjørne, Elias, Edmund F. Brekke, Torleiv H. Bryne, Jeff Delaune, and Tor Arne Johansen. "Globally stable velocity estimation using normalized velocity measurement." International Journal of Robotics Research 39, no. 1 (2019): 143–57. http://dx.doi.org/10.1177/0278364919887436.

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The problem of estimating velocity from a monocular camera and calibrated inertial measurement unit (IMU) measurements is revisited. For the presented setup, it is assumed that normalized velocity measurements are available from the camera. By applying results from nonlinear observer theory, we present velocity estimators with proven global stability under defined conditions, and without the need to observe features from several camera frames. Several nonlinear methods are compared with each other, also against an extended Kalman filter (EKF), where the robustness of the nonlinear methods comp

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34

Chanson, Hubert. "Velocity measurements within high velocity air-water jets." Journal of Hydraulic Research 31, no. 3 (1993): 365–82. http://dx.doi.org/10.1080/00221689309498832.

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35

Orphal, D. L., and C. E. Anderson. "The dependence of penetration velocity on impact velocity." International Journal of Impact Engineering 33, no. 1-12 (2006): 546–54. http://dx.doi.org/10.1016/j.ijimpeng.2006.09.054.

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36

Ihara, Tomonori, Hiroshige Kikura, and Yasushi Takeda. "Ultrasonic velocity profiler for very low velocity field." Flow Measurement and Instrumentation 34 (December 2013): 127–33. http://dx.doi.org/10.1016/j.flowmeasinst.2013.10.003.

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37

Blanford, Thomas E., Daniel C. Brown, and Richard J. Meyer. "Velocity estimation using a compact correlation velocity log." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A304. http://dx.doi.org/10.1121/10.0018939.

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Unmanned underwater vehicles require bottom-referenced acoustic navigation aids to maintain long-term positional accuracy without surfacing. When these platforms are small, they create new design constraints for acoustic navigation aids because of the limited available space and power. Traditional acoustic navigation techniques, such as Doppler Velocity Logs, are unsuitable for use on small platforms because of the power required to maintain adequate signal to noise ratio when they are scaled in size. A compact correlation velocity log (CVL) is an alternative approach that can meet the power,

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38

Guglielmi, Anatol, Boris Klain, and Alexander Potapov. "On the group velocity of whistling atmospherics." Solar-Terrestrial Physics 7, no. 4 (2021): 67–70. http://dx.doi.org/10.12737/stp-74202106.

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The dynamic spectrum of a whistling atmospheric is a signal of falling tone, and the group delay time of the signal as a function of frequency is formed as a result of propagation of a broadband pulse in a medium (magnetospheric plasma) with a quadratic dispersion law. In this paper, we show that for quadratic dispersion the group velocity is invariant under Galilean transformations. This means that, contrary to expectations, the group velocity is paradoxically independent of the velocity of the medium relative to the observer. A general invariance condition is found in the form of a different

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39

Bajewski, Łukasz, Aleksander Wilk, and Andrzej Urbaniec. "Porównanie modeli prędkości obliczonych z wykorzystaniem różnych wariantów prędkości i algorytmów na profilu sejsmicznym 2D na potrzeby migracji czasowej po składaniu." Nafta-Gaz 77, no. 7 (2021): 419–28. http://dx.doi.org/10.18668/ng.2021.07.01.

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This article presents a construction method of the velocity field for poststack time migration for 2D seismic calculated on the basis of interval velocities in boreholes and structural interpretation, as well as the results of poststack time migration based on this solution. Three velocity field models have been developed. The models used differ in the way of spatial interpolation and extrapolation in the adopted calculation grid in the depth domain, which was created on the basis of a structural interpretation of 2D seismic profiles. Three methods of interpolation and extrapolation were used:

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40

LI, Zhong. "Effect of velocity on ductility under high velocity forming." Chinese Journal of Mechanical Engineering (English Edition) 20, no. 02 (2007): 32. http://dx.doi.org/10.3901/cjme.2007.02.032.

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41

Browne, Rodrigo Alberto Vieira, Marcelo Magalhães Sales, Rafael da Costa Sotero, et al. "Critical velocity estimates lactate minimum velocity in youth runners." Motriz: Revista de Educação Física 21, no. 1 (2015): 1–7. http://dx.doi.org/10.1590/s1980-65742015000100001.

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In order to investigate the validity of critical velocity (CV) as a noninvasive method to estimate the lactate minimum velocity (LMV), 25 youth runners underwent the following tests: 1) 3,000m running; 2) 1,600m running; 3) LMV test. The intensity of lactate minimum was defined as the velocity corresponding to the lowest blood lactate concentration during the LMV test. The CV was determined using the linear model, defined by the inclination of the regression line between distance and duration in the running tests of 1,600 and 3,000m. There was no significant difference (p=0.3055) between LMV a

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42

Esquivel, Alejandro, and A. Lazarian. "Velocity Centroids as Tracers of the Turbulent Velocity Statistics." Astrophysical Journal 631, no. 1 (2005): 320–50. http://dx.doi.org/10.1086/432458.

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43

Zaroubi, S., E. Branchini, Y. Hoffman, and L. N. Da Costa. "Consistent values from density-density and velocity-velocity comparisons." Monthly Notices of the Royal Astronomical Society 336, no. 4 (2002): 1234–46. http://dx.doi.org/10.1046/j.1365-8711.2002.05861.x.

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44

Avellaneda, M., R. Ryan, and E. Weinan. "PDFs for velocity and velocity gradients in Burgers’ turbulence." Physics of Fluids 7, no. 12 (1995): 3067–71. http://dx.doi.org/10.1063/1.868683.

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45

Franca, M. J., and U. Lemmin. "Eliminating velocity aliasing in acoustic Doppler velocity profiler data." Measurement Science and Technology 17, no. 2 (2006): 313–22. http://dx.doi.org/10.1088/0957-0233/17/2/012.

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46

Khatib, Rémi, and Marialore Sulpizi. "Sum Frequency Generation Spectra from Velocity–Velocity Correlation Functions." Journal of Physical Chemistry Letters 8, no. 6 (2017): 1310–14. http://dx.doi.org/10.1021/acs.jpclett.7b00207.

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47

JUNGE, KENNETH. "Velocity concatenation and velocity as rate of position dissimilation." Scandinavian Journal of Psychology 28, no. 2 (1987): 144–49. http://dx.doi.org/10.1111/j.1467-9450.1987.tb00748.x.

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48

Strumpf, C., M. L. Braunstein, C. W. Sauer, and G. J. Andersen. "Velocity difference and velocity ratio in structure-from-motion." Journal of Vision 1, no. 3 (2010): 330. http://dx.doi.org/10.1167/1.3.330.

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49

Wang, Hao, Ye Li, Wei Wang, Min Fu, and Rong Huang. "Optimal velocity model with dual boundary optimal velocity function." Transportmetrica B: Transport Dynamics 5, no. 2 (2016): 211–27. http://dx.doi.org/10.1080/21680566.2016.1159149.

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50

MALMSTRÖM, TOR G., ALLAN T. KIRKPATRICK, BRIAN CHRISTENSEN, and KEVIN D. KNAPPMILLER. "Centreline velocity decay measurements in low-velocity axisymmetric jets." Journal of Fluid Mechanics 346 (September 10, 1997): 363–77. http://dx.doi.org/10.1017/s0022112097006368.

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The streamwise velocity profiles of low-velocity isothermal axisymmetric jets from nozzles of different diameters were measured and compared with previous experimental data. The objective of the measurements was to examine the dependence of the diffusion of the jet on the outlet conditions. As the outlet velocity was decreased, the centreline velocity decay coefficient began to decrease at an outlet velocity of about 6 m s−1.

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