Literatura académica sobre el tema "Particle dynamic"
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Artículos de revistas sobre el tema "Particle dynamic"
Liu, Xueqing, Song Yue, Luyi Lu, Wei Gao y Jianlan Li. "Numerical Simulations of a Gas–Solid Two-Phase Impinging Stream Reactor with Dynamic Inlet Flow". Energies 11, n.º 7 (23 de julio de 2018): 1913. http://dx.doi.org/10.3390/en11071913.
Texto completoWang, Wenxu, Damián Marelli y Minyue Fu. "Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering". Sensors 21, n.º 4 (5 de febrero de 2021): 1090. http://dx.doi.org/10.3390/s21041090.
Texto completoHabibi, A. y A. Luciani. "Dynamic particle coating". IEEE Transactions on Visualization and Computer Graphics 8, n.º 4 (octubre de 2002): 383–94. http://dx.doi.org/10.1109/tvcg.2002.1044523.
Texto completoOuriemi, Malika y Petia M. Vlahovska. "Electrohydrodynamics of particle-covered drops". Journal of Fluid Mechanics 751 (16 de junio de 2014): 106–20. http://dx.doi.org/10.1017/jfm.2014.289.
Texto completoMalama, Terence, Agripa Hamweendo y Ionel Botef. "Molecular Dynamics Simulation of Ti and Ni Particles on Ti Substrate in the Cold Gas Dynamic Spray (CGDS) Process". Materials Science Forum 828-829 (agosto de 2015): 453–60. http://dx.doi.org/10.4028/www.scientific.net/msf.828-829.453.
Texto completoYU, K. W., G. Q. GU, J. P. HUANG y J. J. XIAO. "DYNAMIC ELECTRORHEOLOGICAL EFFECTS OF ROTATING PARTICLES: A BRIEF REVIEW". International Journal of Modern Physics B 19, n.º 07n09 (10 de abril de 2005): 1163–69. http://dx.doi.org/10.1142/s0217979205030013.
Texto completoTemitope Oyinbo, Sunday y Tien-Chien Jen. "Molecular Dynamics Simulation of Dislocation Plasticity Mechanism of Nanoscale Ductile Materials in the Cold Gas Dynamic Spray Process". Coatings 10, n.º 11 (10 de noviembre de 2020): 1079. http://dx.doi.org/10.3390/coatings10111079.
Texto completoStratmann, F., E. Herrmann, T. Petäjä y M. Kulmala. "Modelling Ag-particle activation and growth in a TSI WCPC model 3785". Atmospheric Measurement Techniques Discussions 2, n.º 5 (25 de septiembre de 2009): 2217–39. http://dx.doi.org/10.5194/amtd-2-2217-2009.
Texto completoStratmann, F., E. Herrmann, T. Petäjä y M. Kulmala. "Modelling Ag-particle activation and growth in a TSI WCPC model 3785". Atmospheric Measurement Techniques 3, n.º 1 (25 de febrero de 2010): 273–81. http://dx.doi.org/10.5194/amt-3-273-2010.
Texto completoKok, S. y J. A. Snyman. "A Strongly Interacting Dynamic Particle Swarm Optimization Method". Journal of Artificial Evolution and Applications 2008 (31 de marzo de 2008): 1–9. http://dx.doi.org/10.1155/2008/126970.
Texto completoTesis sobre el tema "Particle dynamic"
Kim, JaeMo. "Dynamic simulation of suspended particles and drops at finite Reynolds numbers by dissipative particle dynamics /". For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.
Texto completoWang, Ge 1965. "Particle modeling of dynamic fragmentation". Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102230.
Texto completoConsequently, we test this new PM by simulating fracture response of an elastic-brittle material---epoxy, with randomly distributed holes, in tension and then comparing the model results with the experiments.
Then, we use this developed PM to many applications, such as (i) simulating dynamic fragmentation of minerals encountered in comminution and blasting processes in the mining industry. In particular, we simulate single as well as multi-phase materials in two dimensions (2-D) and 3-D. We redefine the interactive particle relationship by which material impact-collision problems are realistically simulated and computational time is saved as well; (ii) investigating cracking propagation of a plate with crack-tip under mode-I loading.
Rafferty, Thomas. "Dynamic properties of condensing particle systems". Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/91746/.
Texto completoUrade, Hemlata S. y Rahila Patel. "Performance Evaluation of Dynamic Particle Swarm Optimization". IJCSN, 2012. http://hdl.handle.net/10150/283597.
Texto completoIn this paper the concept of dynamic particle swarm optimization is introduced. The dynamic PSO is different from the existing PSO’s and some local version of PSO in terms of swarm size and topology. Experiment conducted for benchmark functions of single objective optimization problem, which shows the better performance rather the basic PSO. The paper also contains the comparative analysis for Simple PSO and Dynamic PSO which shows the better result for dynamic PSO rather than simple PSO.
Devarakonda, SaiPrasanth. "Particle Swarm Optimization". University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032.
Texto completoCavallo, Antonio. "Four dimensional particle tracking in biological dynamic processes". [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964904667.
Texto completoLi, Changhe. "Particle swarm optimization in stationary and dynamic environments". Thesis, University of Leicester, 2011. http://hdl.handle.net/2381/10284.
Texto completoSharma, Samvaran. "DARTPIV : Dynamic Adaptive Real-Time Particle Image Velocimetry". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85496.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
Particle Image Velocimetry (PIV) is a technique that allows for the detailed visualization of fluid flow. By performing computational analysis on images taken by a high-sensitivity camera that monitors the movement of laser-illuminated tracer particles over time, PIV is capable of producing a vector field describing instantaneous velocity measurements of the fluid captured in the field of view. Nearly all PIV implementations perform offline processing of the collected data, a feature that limits the scope of the applications of this technique. Recently, however, researchers have begun to explore the possibility of using FPGAs or PCs to greatly improve the efficiency of these algorithms in order to obtain real-time speeds for use in feedback loops. Such approaches are very promising and can help expand the use of PIV into previously unexplored fields, such as high performance Unmanned Aerial Vehicles (UAVs). Yet these real-time algorithms have the potential to be improved even further. This thesis outlines an approach to make real-time PIV algorithms more accurate and versatile in large part by applying principles from another emerging technique called adaptive PIV, and in doing so will also address new issues created from the conversion of traditional PIV to a real-time context. This thesis also documents the implementation of this Dynamic Adaptive Real- Time PIV (DARTPIV) algorithm on a PC with CUDA parallel computing, and its performance and results analyzed in the context of normal real-time PIV.
by Samvaran Sharma.
M. Eng.
Wu, Yadong Carleton University Dissertation Mathematics. "Dynamic particle systems and multilevel measure branching processes". Ottawa, 1991.
Buscar texto completoBao, Yanyao. "Smoothed Particle Hydrodynamics Simulations for Dynamic Capillary Interactions". Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/19592.
Texto completoLibros sobre el tema "Particle dynamic"
Falk, Martin, Sebastian Grottel, Michael Krone y Guido Reina. Interactive GPU-based Visualization of Large Dynamic Particle Data. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02604-1.
Texto completoBrockmann, J. E. The response of the aerodynamic particle sizer to nonspherical particles and use in experimental determination of dynamic shape factor. Washington, DC: Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.
Buscar texto completo1922-, Soo S. L., ed. Instrumentation for fluid-particle flow. Norwich, N.Y: Noyes Publications, 1999.
Buscar texto completoCoutinho, Murilo G. Guide to Dynamic Simulations of Rigid Bodies and Particle Systems. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4417-5.
Texto completoCoutinho, Murilo G. Guide to Dynamic Simulations of Rigid Bodies and Particle Systems. London: Springer London, 2013.
Buscar texto completoPaone, N. Application of particle image displacement velocimetry to a centrifugal pump. Rhode Saint Genese, Belgium: von Karman Institute for Fluid Dynamics, 1988.
Buscar texto completoBernard, Guerts, Clercx H. J. H y Uijttewaal Wim S. J, eds. Particle-laden flow: From geophysical to Kolmogorov scales. Dordrecht: Springer, 2007.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Motion of the heliospheric termination shock at high heliographic latitude. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoB, Marion Jerry, ed. Classical dynamics of particles and systems. 5a ed. Belmont, CA: Brooks/Cole, 2004.
Buscar texto completoStumpf, Harald. Composite particle dynamics in quantum field theory. Braunschweig [Germany]: Vieweg, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Particle dynamic"
Pusey, P. N. y R. J. A. Tough. "Particle Interactions". En Dynamic Light Scattering, 85–179. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2389-1_4.
Texto completoCoutinho, Murilo G. "Particle Systems". En Dynamic Simulations of Multibody Systems, 61–153. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3476-8_3.
Texto completoFernandes, Carlos M., J. L. J. Laredo, J. J. Merelo, C. Cotta y A. C. Rosa. "Dynamic Topologies for Particle Swarms". En Transactions on Computational Collective Intelligence XXIV, 1–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53525-7_1.
Texto completoStock, Ruth S. y W. Harmon Ray. "Measuring Particle Size Distribution of Latex Particles Using Dynamic Light Scattering". En Particle Size Distribution, 105–14. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch007.
Texto completoRathi, Yogesh, Samuel Dambreville y Allen Tannenbaum. "Particle Filtering with Dynamic Shape Priors". En Lecture Notes in Computer Science, 886–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11867586_80.
Texto completoBlackwell, Tim. "Particle Swarm Optimization in Dynamic Environments". En Studies in Computational Intelligence, 29–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49774-5_2.
Texto completoZheng, Binbin, Yuanxiang Li, Xianjun Shen y Bojin Zheng. "A New Dynamic Particle Swarm Optimizer". En Lecture Notes in Computer Science, 481–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11903697_61.
Texto completoKiranyaz, Serkan, Turker Ince y Moncef Gabbouj. "Dynamic Data Clustering". En Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition, 151–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37846-1_6.
Texto completoVaidya, R. A., M. J. Mettille y R. D. Hester. "A Comparison of Methods for Determining Macromolecular Polydispersity from Dynamic Laser Light Scattering Data". En Particle Size Distribution, 62–73. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch004.
Texto completoBorowska, Bożena. "Dynamic Inertia Weight in Particle Swarm Optimization". En Advances in Intelligent Systems and Computing II, 79–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70581-1_6.
Texto completoActas de conferencias sobre el tema "Particle dynamic"
Wang, Guozhi, Shuyan Wang, Shan Feng y Zhengrong Wang. "Dynamic particle holographic instrument". En 19th Intl Congress on High-Speed Photography and Photonics. SPIE, 1991. http://dx.doi.org/10.1117/12.24080.
Texto completoKennedy, James. "Dynamic-probabilistic particle swarms". En the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1068009.1068040.
Texto completoCheng, W., K. Farhang y Y. Kwon. "On the Dynamics of Particle-Particle Interaction". En ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81375.
Texto completoZhang, Chao, Zhijian Li, Xin Du y Hui Qian. "DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/679.
Texto completoWang, Yizhou, Dennis Wai y Masayoshi Tomizuka. "Steady-State Marginalized Particle Filter for Attitude Estimation". En ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5981.
Texto completoBastos-Filho, C. J. A., D. F. Carvalho, E. M. N. Figueiredo y P. B. C. de Miranda. "Dynamic Clan Particle Swarm Optimization". En 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE, 2009. http://dx.doi.org/10.1109/isda.2009.10.
Texto completoAssadi, Armand D. y James H. Oliver. "Real-Time Particle Simulation for Virtual Environments". En ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dfm-4422.
Texto completoKassab, Asmaa Sadek, Victor M. Ugaz, Maria D. King y Yassin A. Hassan. "Dynamic Measurements of Micro-Meter Particle Detachment on Glass Surfaces". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87786.
Texto completoZhang, D., P. H. Shipway y D. G. McCartney. "Particle-Substrate Interactions in Cold Gas Dynamic Spraying". En ITSC2003, editado por Basil R. Marple y Christian Moreau. ASM International, 2003. http://dx.doi.org/10.31399/asm.cp.itsc2003p0045.
Texto completoLi, Nai-Jen y Wen-June Wang. "Fuzzy dynamic turning for particle swarm optimization with weighted particle". En 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6870922.
Texto completoInformes sobre el tema "Particle dynamic"
Hu, M. Z.-C. Dynamic Particle Growth Testing - Phase I Studies. Office of Scientific and Technical Information (OSTI), mayo de 2001. http://dx.doi.org/10.2172/786478.
Texto completoCrawford, O. (Symposium on dynamic particle-condensed matter interactions). Office of Scientific and Technical Information (OSTI), diciembre de 1988. http://dx.doi.org/10.2172/7093946.
Texto completoDatta, Subhendu K. Dynamic Behavior of Fiber and Particle Reinforced Composites. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1993. http://dx.doi.org/10.21236/ada266905.
Texto completoCHHABILDAS, LALIT C., DENNIS EDWARD GRADY, CLINT A. HALL, WILLIAM D. REINHART y GREG A. MANN. Dynamic Properties of Concrete through Particle Velocity Profile Measurements. Office of Scientific and Technical Information (OSTI), octubre de 2002. http://dx.doi.org/10.2172/802024.
Texto completoYamamoto, Yosuke, Takayuki Sato y Genki Anraku. Dynamic Simulation of Water and Soil Using Particle Method. Warrendale, PA: SAE International, noviembre de 2011. http://dx.doi.org/10.4271/2011-32-0563.
Texto completoSchmalz, Mark S. Computational Particle Dynamic Simulations on Multicore Processors (CPDMu) Final Report Phase I. Office of Scientific and Technical Information (OSTI), julio de 2011. http://dx.doi.org/10.2172/1019271.
Texto completoChen, Kuangcai. Development and applications of single particle orientation and rotational tracking in dynamic systems. Office of Scientific and Technical Information (OSTI), febrero de 2016. http://dx.doi.org/10.2172/1342544.
Texto completoHughes, Kyle y John Charonko. Shocked Transport: Experiments to Study Dynamic Particle Behavior under Varying Volume Fraction Conditions. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1779626.
Texto completoMorkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk y Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, abril de 2021. http://dx.doi.org/10.31812/123456789/4373.
Texto completoAiken, Allison C. Submicron Aerosol Chemical Composition and Optical Properties: In Situ Field Measurements and Controlled Laboratory Studies to Probe Dynamic Particle Processes for Climate. Office of Scientific and Technical Information (OSTI), junio de 2019. http://dx.doi.org/10.2172/1529506.
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