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Relevant bibliographies by topics / Velocity Centroids

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Academic literature on the topic 'Velocity Centroids'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Velocity Centroids"

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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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Lazarian, A., and A. Esquivel. "Statistics of Velocity from Spectral Data: Modified Velocity Centroids." Astrophysical Journal 592, no. 1 (2003): L37—L40. http://dx.doi.org/10.1086/377427.

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Levrier, F. "Velocity centroids and the structure of interstellar turbulence." Astronomy & Astrophysics 421, no. 2 (2004): 387–98. http://dx.doi.org/10.1051/0004-6361:20047139.

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Esquivel, A., A. Lazarian, S. Horibe, J. Cho, V. Ossenkopf, and J. Stutzki. "Statistics of velocity centroids: effects of density-velocity correlations and non-Gaussianity." Monthly Notices of the Royal Astronomical Society 381, no. 4 (2007): 1733–44. http://dx.doi.org/10.1111/j.1365-2966.2007.12359.x.

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Passino, Kevin M. "Modeling and Cohesiveness Analysis of Midge Swarms." International Journal of Swarm Intelligence Research 4, no. 4 (2013): 1–22. http://dx.doi.org/10.4018/ijsir.2013100101.

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Midges (Anarete pritchardi) coordinate their flight motions to form a cohesive group during swarming. In this paper, individual midge motion dynamics, sensing abilities, and flight rules are represented with a midge swarm model. The sensing accuracy and flight rule are adjusted so that the model produces trajectory behavior, and velocity, speed, and acceleration distributions, that are remarkably similar to those found in midge swarm experiments. Mathematical analysis of the validated swarm model shows that the distances between the midges' positions and the swarm position centroid, and the mi

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Kandel, D., A. Lazarian, and D. Pogosyan. "Study of velocity centroids based on the theory of fluctuations in position–position–velocity space." Monthly Notices of the Royal Astronomical Society 464, no. 3 (2016): 3617–35. http://dx.doi.org/10.1093/mnras/stw2512.

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Xu, Siyao, and Yue Hu. "Measuring Magnetization with Rotation Measures and Velocity Centroids in Supersonic MHD Turbulence." Astrophysical Journal 910, no. 2 (2021): 88. http://dx.doi.org/10.3847/1538-4357/abe403.

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Xu, Dong Tao, Zhi Li Sun, and Yong Ying Du. "Analysis and Simulation of Velocity and Acceleration Based on Three-Translational Parallel Mechanism." Advanced Materials Research 299-300 (July 2011): 940–44. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.940.

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Aimed at three-translational parallel mechanism, the velocity Jacobian matrix is formulated on the basis of analytical method, so the velocity and acceleration of the moving platform is calculated. Then the velocity and acceleration formulas of all components’ centroids are deduced based on the vector method. The above formulas are very simple and easy to solve. Kinematic simulation is carried out by ADAMS virtual prototyping software. The operating data is obtained, it verifies the correctness of the theoretical calculation.

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Hernández-Padilla, D., A. Esquivel, A. Lazarian, D. Pogosyan, D. Kandel, and J. Cho. "Anisotropy of Velocity Centroids and the Signature of Different MHD Modes in the Turbulent ISM." Astrophysical Journal 901, no. 1 (2020): 11. http://dx.doi.org/10.3847/1538-4357/abad9e.

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Kaiser, Eurika, Bernd R. Noack, Laurent Cordier, et al. "Cluster-based reduced-order modelling of a mixing layer." Journal of Fluid Mechanics 754 (August 6, 2014): 365–414. http://dx.doi.org/10.1017/jfm.2014.355.

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AbstractWe propose a novel cluster-based reduced-order modelling (CROM) strategy for unsteady flows. CROM combines the cluster analysis pioneered in Gunzburger’s group (Burkardt, Gunzburger & Lee,Comput. Meth. Appl. Mech. Engng, vol. 196, 2006a, pp. 337–355) and transition matrix models introduced in fluid dynamics in Eckhardt’s group (Schneider, Eckhardt & Vollmer,Phys. Rev. E, vol. 75, 2007, art. 066313). CROM constitutes a potential alternative to POD models and generalises the Ulam–Galerkin method classically used in dynamical systems to determine a finite-rank approximation of the

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Dissertations / Theses on the topic "Velocity Centroids"

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Schlawin, Everett A. "Radiative Transfer Models of the Galactic Center." Oberlin College Honors Theses / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1249300204.

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Wang, Li-Nong, and 王立農. "Refined Doppler Centroid Estimation in Spaceborne SAR For Mapping Ocean Current Velocity." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/60032852448362348548.

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碩士<br>國立中央大學<br>太空科學研究所<br>99<br>ADCP(Acoustic Doppler Current Profiler) is the most common method to obtain the ocean current information. However, in order to obtain sufficient spatial resolution of the current-data, it is rather expensive both in time and cost. Theoretically, it is possible to extract the surface target velocity from the Doppler shift embedded in SAR phase history in which the azimuth frequency shift is related to the motion of surface target in the radial direction. In this thesis, Correlation Doppler Estimation(CDE) was used to compute the baseband Doppler centroi

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Books on the topic "Velocity Centroids"

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Statistical properties of line centroid velocity increments in the rho Ophiuchi cloud. National Aeronautics and Space Administration, 1998.

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Book chapters on the topic "Velocity Centroids"

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Gao, Ying, Lingxi Peng, Fufang Li, MiaoLiu, and Xiao Hu. "Velocity-Free Multi-Objective Particle Swarm Optimizer with Centroid for Wireless Sensor Network Optimization." In Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33478-8_84.

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Lis, D. C., T. G. Phillips, M. Gerin, et al. "Centroid Velocity Increments as a Probe of the Turbulent Velocity Field in Interstellar Molecular Clouds." In Interstellar Turbulence. Cambridge University Press, 1999. http://dx.doi.org/10.1017/cbo9780511564666.031.

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Furbish, David Jon. "Inviscid Flows." In Fluid Physics in Geology. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195077018.003.0014.

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This chapter covers an important step toward our development of dynamical equations of fluid motion. Herein we will develop explicit expressions for the forces that produce the fluid accelerations that we described kinematically in Chapter 7. In particular, we will consider the behavior of inviscid fluids. Viscous forces therefore are not involved; accelerations are wholly due to body forces and normal surface forces associated with fluid pressure. The results of our development are Euler’s equations, or the momentum equations for inviscid flow. One consequence of the inviscid assumption is that slip flow may occur at real boundaries, in contrast to the no-slip condition that occurs with real fluids. This is unrealistic for the viscous flows of interest in many geological problems. Nonetheless, situations exist in which viscous fluids can be treated as inviscid. Examples include fluids having small viscosity, and flows far from boundaries. The study of inviscid flow therefore is justified in its own right. A particularly important example involves the consideration of how velocity and pressure vary along a streamline, which leads to Bernoulli’s equation. Consider a rectangular control volume with edges of length dx, dy, and dz embedded within a local Cartesian coordinate system. This local system has an arbitrary orientation with respect to the Earth coordinate system; the x-axis is inclined at an angle α measured from the horizontal. Acceleration due to gravity g acts vertically, and the centroid of the control volume is at height h above a horizontal datum. The height h provides a measure of the position of the fluid within the gravitational field. Consider, now, forces acting on the control volume parallel to the x-axis. The weight W of fluid within the control volume possesses a component Wx parallel to the x-axis: . . . Wx = −ρg sin α dx dy dz . . . . . . (10.2) . . . where ρ is the fluid density, and the negative sign indicates that Wx acts in the direction of negative x.

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Conference papers on the topic "Velocity Centroids"

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Afanasiev, A. L., V. A. Banakh, D. A. Marakasov, and A. P. Rostov. "Method of estimation of the cross-wind velocity from statistics of energy centroids coordinates of binocular images of topographic objects." In XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2016. http://dx.doi.org/10.1117/12.2248613.

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Mesny, Alex W., Mark A. Glozier, Oliver J. Pountney, et al. "Vortex Tracking of Purge-Mainstream Interactions in a Rotating Turbine Stage." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59701.

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Abstract The use of purge flow in gas turbines allows for high turbine entry temperatures, which are essential to produce high cycle efficiency. Purge air is bled from the compressor and reintroduced in the turbine to cool vulnerable components. Wheel-spaces are formed between adjacent rotating and stationary discs, with purge air supplied at low radius before exiting into the mainstream gas-path through a rim-seal at the disc periphery. An aerodynamic penalty is incurred as the purge flow egress interacts with the mainstream. This study presents unparalleled three-dimensional velocity data fr

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Geerits, T., and X. Tang. "Centroid Phase Velocity and its Application in Dipole Acoustic Logging." In 62nd EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2000. http://dx.doi.org/10.3997/2214-4609-pdb.28.d41.

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Renga, Alfredo, and Antonio Moccia. "Ship velocity estimation by Doppler Centroid analysis of focused SAR data." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6946805.

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M. Moreira, José Antonio, Walter E. Medeiros, and Anderson F. do Nascimento. "Velocity-independent quality factor inversion based on the frequency centroid shift: basic theory." In Simpósio Brasileiro de Geofísica. Sociedade Brasileira de Geofísica, 2008. http://dx.doi.org/10.22564/3simbgf2008.058.

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Abiven, Claude, Pavlos P. Vlachos, and George Papadopoulos. "Comparative Study of Established DPIV Algorithms for Planar Velocity Measurements." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33170.

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This paper represents a continuation of our effort to develop a velocity evaluation scheme optimized to resolve multiphase flows. An improved adaptive hybrid scheme that integrates the dynamically adaptive cross-correlation method with a particle tracking velocimetry algorithm is developed, presented and evaluated in this paper. A detailed description of the methodology, error analysis using Monte-Carlo simulations and elaborate comparisons with established schemes and robust commercial packages are presented. Improvements were guided towards increased accuracy for resolving vortical and poly-

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Ting, Kwun-Lon, and Cody Leeheng Chan. "Curvature Theory on Contact and Transfer Characteristics of Enveloping Curves." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86378.

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In differential geometry, a curve is characterized by the curvature properties and so is a point trajectory in curvature theory. However, due to the rolling and sliding between contact curves, the characterization of enveloping curves embedded on rigid bodies in relative motion is not complete without the transfer (or shifting) characteristics of the contact point. This paper presents the new perspectives and the first comprehensive theory on not only the curvature characteristics but also the transfer characteristics between enveloping curves embedded on rigid bodies. The paper contains three

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Kang, Ki-mook, and Duk-jin Kim. "Retrieval of sea surface velocity during tropical cyclones from RAD ARS AT-1 ScanSAR Doppler centroid measurements." In 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2015. http://dx.doi.org/10.1109/apsar.2015.7306282.

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Ming, Hu, Zhang Miaomiao, Jin Yongping, Chen Wenhua, Chen Ming, and Qian Ping. "Design and Analysis of Eccentric Gear Centrodes for Driving Systems of Differential Velocity Vane Pump." In 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2011. http://dx.doi.org/10.1109/icmtma.2011.215.

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Baroon, Jasem, and Bahram Ravani. "A Three-Dimensional Generalization of Instant Center Method Using Line Geometry." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35053.

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For a planar motion of a body, there exists an instantaneous center of zero velocity or what is known as the centrode. In three-dimensions, the same is represented by the instantaneous screw axis. In two dimensions, however, there is a geometric method of construction the instant center by using the velocity vectors of two points of the body. The instant center is the point of intersection of the lines perpendicular to the two velocity vectors. This type of construction, however, did not exist for the instantaneous screw axis. In this paper, we present such a geometric construction for the ins

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