The tracking architecture is based on particle filtering methods where each particle represents the 3D state of the object, rather than its state in the image, therefore overcoming the nonlinearity caused by the projection model.
Analysis was performed by using a direct fibre simulation based on Particle Simulation Method (PSM) especially focusing on structure changes under shear flows.
The proposed optimization method is exploiting an interactive approach based on particle swarm optimization (PSO) method and a fuzzy mechanism to improve the computational efficiency of the algorithm.
The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load.
The modified FEM of treating the SWCNT as a spatial cylindrical frame structure is very simple to use, very economical, and efficient computationally compared with those based on particle or molecular dynamics (MD) methods, simulation and continuum mechanics (CM) methods where huge computational resources are necessary.
Recently there have been several proposed methods based on particle filters [10, 11] which are highly computationally intensive and hence practically intractable.
In an approach using in vitro methods based on particle interactions, polyethylene glycol grades (PEG) showed the lowest interaction forces suggesting a more favorable in vivo performance than hydroxypropyl methylcellulose (HPMC), which was found to have the highest particle interaction.
However, because the tracking performance of particle filter is combined in proportion to the number of the corresponding particles in target tracking, the maneuvering target tracking methods based on particle filter are difficult to satisfy the real tracking requirement of tracking systems.
To improve the mixing performance of the chaotic mixer for a microchannel, the staggered herringbone mixer (SHM) with patterns of herringbone grooves on the floor of the channel is studied using lattice Boltzmann method (LBM), which is a relatively new numerical method based on particle mesoscopic kinetic equations.
In this paper, a structural damage identification method based on particle filters, will therefore be introduced.
