Adaptive mesh methods are commonly used to improve the accuracy of numerical solution of problems without essential increase in the number of mesh nodes (Lebedev et al., 2002). Within the scope of all adaptive mesh methods, there is an important class of methods in which the mesh is an image under an appropriate mapping of a fixed mesh over a computational domain (Bern & Plassmann, 1999). Most ...

Nowadays, numerical modelings play a key role in analyzing hydraulic problems in fractured rock media. The discrete fracture network model is one of the most used numerical models to simulate the geometrical structure of a rock-mass. In such media, discontinuities are considered as discrete paths for fluid flow through the rock-mass while its matrix is assumed impermeable. There are two main pa...

the aim of this investigation was to evaluate the use of polypropylene mesh and glycerol preserved bovine pericardium (gbp) to repaire abdominal wall defects in 24 clinically healthy mongrel dogs using inlay and underlay techniques. twenty four healthy mongrel dogs were used in this study. the animals were divided into two main groups according to the type of the prosthetic material used. each ...

With the widespread use of Deep Neural Networks (DNNs), machine learning algorithms have evolved in two diverse directions—one with ever-increasing connection density for better accuracy and other more compact sizing energy efficiency. The increase increases on-chip data movement, which makes efficient communication a critical function DNN accelerator. contribution this work is threefold. First...

Point cloud source data for surface reconstruction is usually contaminated with noise and outliers. To overcome this deficiency, a density-based point cloud denoising method is presented to remove outliers and noisy points. First, particle-swam optimization technique is employed for automatically approximating optimal bandwidth of multivariate kernel density estimation to ensure the robust perf...

We propose a convergent implicit stabilized finite element discretization of the nonstationary incompressible magnetohydrodynamics equations with variable density, viscosity, and electric conductivity. The discretization satisfies a discrete energy law, and a discrete maximum principle for the positive density, and iterates converge to weak solutions of the limiting problem for vanishing discre...

We study variational mesh adaptation for axially symmetric solutions to twodimensional problems. The study is focused on the relationship between the mesh density distribution and the monitor function and is carried out for a traditional functional that includes several widely used variational methods as special cases and a recently proposed functional that allows for a weighting between mesh i...

SUMMARY The objective of this paper is to investigate the eeects of the numerical dissipa-tion and the resolution of the solution on coarser grids for multigrid with the Euler equation approximations. The convergence is accomplished by multi-stage explicit time-stepping to steady state accelerated by FAS multigrid. A theoretical investigation is carried out for linear hyperbolic equations in on...

BACKGROUND In the MCF7 human breast cancer cell line, several patterns of cytokeratin networks are observed, depending on the intracellular localization. Our hypothesis is that architectural variations of cytokeratin networks depend on local tensions or forces appearing spontaneously in the cytoplasm. The aim of this work was to discriminate between the different patterns and to quantitate thes...