The International Thermonuclear Experimental Reactor (ITER) is a cutting-edge project that aims to develop sustainable energy source by harnessing the power of nuclear fusion. One key challenges in development ITER complex electrical grid required support its operations. To address this challenge, digital twin (DT) Central Solenoid (CS) Converter Power Supply has be developed, and real-time sim...

One of the more promising recent approaches to turbulence modelling is the Variational Multiscale Large Eddy Simulation (VMS LES) method proposed by Hughes et al. [Comp. Visual. Sci., vol. 3, pp. 47-59, 2000]. This method avoids several conceptual issues of traditional filter-based LES by employing a priori scale partitioning in the discretization of the Navier-Stokes equations. Most applicatio...

Photo-realistic rendering of inhomogeneous participating media with light scattering in consideration is important in computer graphics, and is typically computed using Monte Carlo based methods. The key technique in such methods is the free path sampling, which is used for determining the distance (free path) between successive scattering events. Recently, it has been shown that efficient and ...

XML has become the de facto standard for data representation and exchange over the Internet. Nevertheless, along with the increasing size of XML documents and complexities to evaluate XML queries, existing query processing performance in a single-centralized environment will deteriorate. Parallelism is, thus, a viable solution. One possible approach of exploiting parallelism is to adopt a PC cl...

Image segmentation is a crucial problem in image processing and can determine the final outcome of many image processing tasks. A great deal of research has gone into segmentation of monotone images, however, only recently has research gone into segmenting colour images. Genetic algorithms have been shown to be a viable method to segment an image. However, little research has gone into developi...

Data grid is a distributed computing architecture that integrates a large number of data and computing resources into a single virtual data management system. It enables the sharing and coordinated use of data from various resources and provides various services to fit the needs of high-performance distributed and data-intensive computing. Here data partitioning and dynamic replication in data ...

Topographic data are increasingly available at high resolutions (<10 m) over large spatial extents to support detailed flood inundation modeling and loss estimation analyses required for flood risk management. This paper describes ParBreZo, the parallel implementation of a two-dimensional, Godunovtype, shallow-water code, to address the computational demand of high-resolution flood modeling at ...

This paper explores the behaviour and sensitivity of a watershed model used for simulating lateral soil water redistribution and runoff production. In applications such as modelling the effects of land-use change in small headwater catchments, interactions between soil moisture, runoff and ecological processes are important. Because climate, soil and canopy characteristics are spatially variabl...

In this paper, we present a new discrete formulation that maintains discrete invariance and is suitable for use on nonorthogonal meshes. This formulation, unlike its predecessors , allows us to easily use adaptive mesh reenement to concentrate grid points where error contributions are large (near vortex centers). In this way we reduce the total number of grid points required to accurately captu...

Clustering is one of most important methods of data mining. It is used to identify unknown yet interesting and useful patterns or trends in datasets. There are different types of clustering algorithms such as partitioning, hierarchical, grid and density-based. In general, clustering methods are considered unsupervised, however, in recent years the new branch of clustering algorithms has emerged...