Primljeno (Received): 2011-10-10 Prihvaćeno (Accepted): 2011-12-20 Original scientific paper Virtual reality (VR), as a novel technology, represents one of the most powerful tools to assist or even play the major role in many areas, such as development of new designs, training medical practitioners or assembly operators, entertaining industry, etc. On the other hand, the finite element method (...

In linear thermoelasticity models, the temperature T and the displacement components u1, u2 exhibit large qualitative differences: While T typically is very smooth everywhere in the domain, the displacements u1, u2 have singular gradients (stresses) at re-entrant corners and edges. The mesh must be extremely fine in these areas so that stress intensity factors are resolved sufficiently. Among t...

In present-day IC’s, substrate noise can have a significant impact on performance. Thus, modeling the noise-propagation characteristics of the substrate is becoming ever more important. Two ways of obtaining such a model are the Finite Element Method (FEM) and the Boundary Element Method (BEM). The FEM makes a full 3D discretization of the entire substrate and is very accurate and flexible, but...

BACKGROUND The association between polymorphisms rs6265 and rs2030324 in brain-derived neurotrophic factor (BDNF) and Alzheimer's disease (AD) has been widely reported, but the results remain controversial. METHODS A comprehensive search of Pubmed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Med Online and China Biology Medical literature database (CBM) was perform...

The design and optimization of high performance ultrasound imaging probes often needs a reliable model to provide performance estimates related to project upgrades. Finite Element Model (FEM) is the most powerful and comprehensive tool available for this application, but needs a very fine preliminary tuning procedure in order to obtain consistent results. This was described in our previous work...

The power and validity of voxel based and tensor based morphometry methods depend on the accuracy of the brain image registration algorithms they employ. We propose a mutual information based quantitative evaluation method to compare the performance of two publicly available deformable registration packages: HAMMER and algorithms in the ITK package (FEM-Demons) The advantage of our approach is ...

BACKGROUND The finite element method (FEM) is a powerful mathematical tool to simulate and visualize the mechanical deformation of tissues and organs during medical examinations or interventions. It is yet a challenge to build up an FEM mesh directly from a volumetric image partially because the regions (or structures) of interest (ROIs) may be irregular and fuzzy. METHODS A software package,...

This paper considers the application of numerical techniques to modelling large 3D Extremely Low Frequency (ELF) electromagnetic problems in the time and frequency domains. The environment model consists of three material layers: air, sea and seabed. To represent a coastal region, the sea region is shallow with a variable depth and includes a sloping seabed. The electromagnetic source is a harm...

The finite element method (FEM) is a widely employed numerical technique for approximating the solution of partial differential equations (PDEs) in various science and engineering applications. Many of these applications benefit from fast execution of the FEM pipeline. One way to accelerate the FEM pipeline is by exploiting advances in modern computational hardware, such as the many-core stream...

This paper discusses the development of a methodology for multi-scale multi-domain predictive simulation of structural sensing. Tools are provided to extend the modeling capacities and improve quality and reliability of 1-D and 2-D guided wave propagation models using commercially available finite element method (FEM) packages. Predictive simulation of ultrasonic nondestructive evaluation (NDE)...