Results 51 to 60 of about 4,872,758 (330)
FluidsParticle image velocimetry and particle tracking velocimetry (PTV) have developed from two-dimensional two-component (2D2C) velocity vector measurements to 3D3C measurements.
Mao Takeyama +2 more
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Confidence-Level-Based New Adaptive Particle Filter for Nonlinear Object Tracking
International Journal of Advanced Robotic Systems, 2012 Nonlinear object tracking from noisy measurements is a basic skill and a challenging task of mobile robotics, especially under dynamic environments. The particle filter is a useful tool for nonlinear object tracking with non-Gaussian noise.
Xiaoyong Zhang +3 more
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An improved quantum particle swarm photovoltaic multi‐peak mPPT method combined with Lévy flight
Energy Science & Engineering, 2020 Inertial weight adaptive quantum particle swarm optimization (DCWQPSO) algorithm can effectively improve the problem of particle falling into local extreme value.
Lei Chen +3 more
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Trajectory data of antero- and retrograde movement of mitochondria in living zebrafish larvae
Data in Brief, 2020 Recently, a large number of single particle tracking (SPT) approaches have been developed. Generally, SPT techniques can be split into two groups: ex post facto approaches where trajectory extraction is carried out after data acquisition and feedback ...
Frank Mieskes +5 more
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Four-dimensional multi-particle tracking in living cells based on lifetime imaging
Nanophotonics, 2022 Research on dynamic events in living cells, such as intracellular transportation, is important for understanding cell functions. As movements occur within cells, the microenvironment of the moving vesicles or biomacromolecules may affect the behavior of ...
Chen Danni, Li Heng, Yu Bin, Qu Junle
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Propagation of numerical noise in particle-in-cell tracking
, 2015 Particle-in-cell (PIC) is the most used algorithm to perform self-consistent tracking of intense charged particle beams. It is based on depositing macro-particles on a grid, and subsequently solving on it the Poisson equation.
Franchetti, Giuliano, Kesting, Frederik
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Particle tracking around surface nanobubbles [PDF]
Journal of Physics: Condensed Matter, 2013 The exceptionally long lifetime of surface nanobubbles remains one of the biggest questions in the field. One of the proposed mechanisms for the stability is the \emph{dynamic equilibrium} model, which describes a constant flux of gas in and out of the bubble. Here, we describe results from particle tracking experiments to measure this flow.
Dietrich, Erik +3 more
openaire +4 more sources
IEEE Access, 2018 In order to obtain accurate underwater target tracking results in forward-looking sonar image sequences, an adaptive particle swarm optimization (APSO) algorithm is proposed to track the underwater target.
Xingmei Wang, Guoqiang Wang, Yanxia Wu
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Research on Particle Filter Video Tracking Algorithms
Journal of Harbin University of Science and Technology, 2020 Aiming at the problem of insufficient robustness of moving target tracking in complex scenes, a particle filter target tracking algorithm based on CNN feature extraction is proposed CNN selflearning mechanism is used to extract highlevel semantic ...
YU Shuchun, TONG Xiaoyu
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Georges: A modular Python library for seamless beam dynamics simulations and optimization
SoftwareX, 2023 Particle tracking codes such as MAD-X or TRANSPORT commonly use a matrix formalism to propagate beams through magnetic elements as it simplifies the analysis of particle behavior, facilitates beam optimization and component design, and enables accurate ...
Robin Tesse +5 more
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