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Готові списки джерел за темами / Velocity / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Velocity.

Статті в журналах з теми "Velocity"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 31 липня 2024

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1

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 (May 2018): 1273–79. http://dx.doi.org/10.1519/jsc.0000000000001998.

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2

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 (30 січня 2023): 111–20. http://dx.doi.org/10.14251/crisisonomy.2023.19.1.111.

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Анотація:

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 riverbed slope or riverbed material were very diverse, such as 0.61, 0.90, 0.52, and 0.88. The above result makes it clear that each investigation point has a unique conversion coefficient according to the characteristics of the bed material. In other words, accurate discharge investigation is possible by knowing the unique conversion factor to each point. The importance of water management due to climate change is increasing day by day. Accurate flow rate for rivers and waterways will be used as an essential factor for quantitative water resource management in the future.

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3

Cojanovic, Milos. "Stellar Distance and Velocity (II)." International Journal of Science and Research (IJSR) 8, no. 9 (September 5, 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 (August 1, 2023): 38–52. http://dx.doi.org/10.14321/fourthgenre.25.2.0038.

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6

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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7

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 (May 1996): 17. http://dx.doi.org/10.1097/00005768-199605001-00101.

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8

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

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9

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

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Анотація:

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 examined by numerical simulation. We find that the results by the linear and nonlinear analysis of the model are in good agreement with the numerical results.

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10

Haitjema, Henk M., and Mary P. Anderson. "Darcy Velocity Is Not a Velocity." Groundwater 54, no. 1 (November 30, 2015): 1. http://dx.doi.org/10.1111/gwat.12386.

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11

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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12

Roh, Young-Sin, Byungman Yoon, and Kwonkyu Yu. "Estimatation of Mean Velocity from Surface Velocity." Journal of Korea Water Resources Association 38, no. 11 (November 1, 2005): 917–25. http://dx.doi.org/10.3741/jkwra.2005.38.11.917.

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13

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

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14

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

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15

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

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Анотація:

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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16

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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17

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 (July 30, 2009): 327–32. http://dx.doi.org/10.1007/s11741-009-0415-3.

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18

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

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19

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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20

ROTARU, Constantin. "NUMERICAL SOLUTIONS FOR COMBUSTION WAVE VELOCITY." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (October 8, 2019): 184–93. http://dx.doi.org/10.19062/2247-3173.2019.21.25.

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21

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

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22

IOKA, Seiichiro. "Groundwater Velocity." Journal of Japanese Association of Hydrological Sciences 51, no. 3 (December 25, 2021): 65–66. http://dx.doi.org/10.4145/jahs.51.65.

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23

Baker, D. N., T. A. Fritz, and P. A. Bernhardt. "Plasmoid Velocity." Science 243, no. 4892 (February 10, 1989): 713. http://dx.doi.org/10.1126/science.243.4892.713.d.

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24

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

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25

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

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26

Baker, D. N., T. A. Fritz, and P. A. Bernhardt. "Plasmoid Velocity." Science 243, no. 4892 (February 10, 1989): 713. http://dx.doi.org/10.1126/science.243.4892.713-c.

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27

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

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28

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

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29

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 (November 25, 2019): 143–57. http://dx.doi.org/10.1177/0278364919887436.

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Анотація:

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 compared with the EKF are demonstrated in simulations and experiments.

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30

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

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31

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

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32

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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33

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 (March 1, 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, space, and accuracy requirements for an acoustic navigation aid on such platforms. This device uses a single projector, a sparse receive array, and estimates platform motion using a multi-dimensional fitting algorithm over an ensemble of 3 or more pings. This presentation will discuss the theory of operation, simulation, and experimental results for a 300 kHz compact CVL that is 4 × 8 cm2. [The authors want to acknowledge Lockheed Martin Rotary and Mission Systems for their financial support of this work.]

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34

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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35

Guglielmi, Anatol, Boris Klain, and Alexander Potapov. "On the group velocity of whistling atmospherics." Solar-Terrestrial Physics 7, no. 4 (December 20, 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 differential equation. To explain the paradox, we introduce the concept of the dynamic spectrum of Green’s function of the path of propagation of electromagnetic waves from a pulse source (lightning discharge in the case of a whistling atmospheric) in a dispersive medium. We emphasize the importance of taking into account the motion of plasma in the experimental and theoretical study of electromagnetic wave phenomena in near-Earth space.

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36

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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37

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 (July 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: Gaussian distribution, kriging and moving average. The spatial distribution of the interval velocities in the boreholes was made using the Petrel software by Schlumberger. The interval velocities along the analyzed seismic profile were extracted from the computed spatial interval velocity models, and after conversion from the depth to the time domain, they were used for the poststack time migration. For comparison, poststack time migration was calculated for the same seismic profile based on the stacking velocities obtained in the seismic processing data as a result of velocity analyzes. The velocity field calculated on the basis of interval velocities and structural interpretation was used for the poststack time migration procedure performed with the Implicit FD Time Migration algorithm (finite difference), while the stacking velocities were used for the poststack time migration procedure performed with the Stolt and Kirchhoff algorithms in accordance with the technical conditions of correct operation of these algorithms. The selected percentage ranges of 60%, 100%, and 140% have been used for all velocity fields. Application of the element of directional velocity variation resulting from the spatial distribution of interval velocities in the boreholes to the velocity field for the poststack time migration allowed to obtain a better seismic image in relation to the one obtained as a result of applying the stacking velocities. The most reliable seismic image after poststack time migration was obtained for the velocity field calculated on the basis of the interval velocities with Gaussian distribution, using the finite difference algorithm with 60 percent value of the velocity field.

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38

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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39

Browne, Rodrigo Alberto Vieira, Marcelo Magalhães Sales, Rafael da Costa Sotero, Ricardo Yukio Asano, José Fernando Vila Nova de Moraes, Jônatas de França Barros, Carmen Sílvia Grubert Campbell, and Herbert Gustavo Simões. "Critical velocity estimates lactate minimum velocity in youth runners." Motriz: Revista de Educação Física 21, no. 1 (March 2015): 1–7. http://dx.doi.org/10.1590/s1980-65742015000100001.

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Анотація:

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 and CV. In addition, both protocols presented a good agreement based on the small difference between means and the narrow levels of agreement, as well as a standard error of estimation classified as ideal. In conclusion, CV, as identified in this study, may be an alternative for noninvasive identification of LMV.

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40

Esquivel, Alejandro, and A. Lazarian. "Velocity Centroids as Tracers of the Turbulent Velocity Statistics." Astrophysical Journal 631, no. 1 (September 20, 2005): 320–50. http://dx.doi.org/10.1086/432458.

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41

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 (November 11, 2002): 1234–46. http://dx.doi.org/10.1046/j.1365-8711.2002.05861.x.

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42

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

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43

Franca, M. J., and U. Lemmin. "Eliminating velocity aliasing in acoustic Doppler velocity profiler data." Measurement Science and Technology 17, no. 2 (January 4, 2006): 313–22. http://dx.doi.org/10.1088/0957-0233/17/2/012.

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44

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

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45

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

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46

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 (March 15, 2010): 330. http://dx.doi.org/10.1167/1.3.330.

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47

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 (March 21, 2016): 211–27. http://dx.doi.org/10.1080/21680566.2016.1159149.

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48

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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Анотація:

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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49

Rahmani, Abderrehmane, Fabrice Viale, Georges Dalleau, and Jean-René Lacour. "Force/velocity and power/velocity relationships in squat exercise." European Journal of Applied Physiology 84, no. 3 (March 12, 2001): 227–32. http://dx.doi.org/10.1007/pl00007956.

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50

Dong, Li-yun, and Qing-xun Meng. "Effect of relative velocity on the optimal velocity model." Journal of Shanghai University (English Edition) 9, no. 4 (August 2005): 283–85. http://dx.doi.org/10.1007/s11741-005-0037-7.

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