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A mathematical model for contaminant species passing through fractured porous media is presented. In the numerical model, we combine two locally conservative methods, i.e. mixed finite element (MFE) and the finite volume (FV) methods. Adaptive triangle mesh is used for effective treatment of the fractures. A hybrid MFE method is employed to provide an accurate approximation of velocities field for...
The Control of high power density asynchronous motor (HPDAM) has received more attentions urgently by motion control experts. This paper discusses a drive method used to a kind of special high power density asynchronous motor which power density is more than 1.6 kW/kg. The motor nonlinear magnetic circuit model based on stator flux orient is analyzed. A stator-flux oriented senseless slip frequency...
The minimum rectilinear Steiner tree (MRST) problem is an NP-hard problem, which is one of the fundamental issues in electronic design automation (EDA). Particle swarm optimization (PSO) has been proved to be an efficient intelligent algorithm for optimization designs. This paper presents an application of discrete particle swarm optimization (DPSO) for resolving MRST in VLSI routing and proposes...
To maximize the potential of three-dimensional integrated circuit architectures, 3D CAD tools must be developed that are on-par with their 2D counterparts. In this paper, we present a statistical static timing analysis (SSTA) engine designed to deal with both the uncorrelated and correlated variations in 3D FPGAs. We consider the effects of intra-die and inter-die variation. Using the 3D physical...
The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, the most of existing improved PSO algorithms work well only for small-scale problems on low-dimensional space. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness, swarm size and the dimension size of solution space, is introduced...
The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, most of the existing improved PSO algorithms work well only for small-scale problems. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness and swarm size, is introduced to adjust the inertia weight adaptively. In a given generation,...
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