Pyrite oxidation, Acid Rock Drainage (ARD) generation, and associated release and transport of toxic metals are a major environmental concern for the mining industry. Estimation of the metal loading in ARD is a major task in developing an appropriate remediation strategy. In this study, an expert system, the Multi-Output Adaptive Neuro-Fuzzy Inference System (MANFIS), was used for estimation of...

A global multi-grid/GMRES solution methodology on distributed memory machines is successfully developed in this study. To preserve the effectiveness of the multigrid scheme, the grid partitioning is based on the communication graph of the coarsest grid, so that all levels of the multi-grids are located in the same zone (processor). Each node of the graph is weighted with the total number of the...

This report presents a proposal for a new discrete global grid (DGG) that is recommended for implementation within IPF's software for processing scatterometer data and generating soil moisture products. The new grid is to improve the current adapted sinusoidal grid used within WARP4.0. An overview of the three main methods for implementing DGG'S; partitioning, tiling and subdivision, is present...

A new, mixed decanethiol (DT)/mercaptohexanol (MH) partition layer with dramatically improved properties has been developed for glucose sensing by surface-enhanced Raman spectroscopy. This work represents significant progress toward our long-term goal of a minimally invasive, continuous, reusable glucose sensor. The DT/MH-functionalized surface has greater temporal stability, demonstrates rapid...

there area lot of mobile computer devices with a variety of applications and users tend to use them more. due to the limitations of mobile devices, running most of the procedures are impossible. to resolve this problem, mobile devices can be connected to the grid, to use the facilities of grid. on the other hand the communication mechanisms are different for each device and they cannot be conne...

It is a large and complex task to design and implement a workflow management system that supports scalable executions of largescale scientific workflows in distributed and unstable Grid environments. In this paper we describe the Distributed workflow Enactment Engine (DEE) of the ASKALON application development environment for Grid computing. DEE proposes a de-centralized architecture that simp...

We study two implementations of the Conjugate Gradient method for solving large sparse linear systems of equations on a heterogeneous computing grid, using GridSolve as grid middleware. We consider the standard CG algorithm of Hestenes and Stiefel, and as an alternative the Chronopoulos/Gear variant, a formulation that is potentially better suited for grid computing since it requires only one s...

Running workloads in a grid environment is often a challenging problem due the scale of the environment, and to the resource partitioning based on various sharing strategies. A resource may be taken down during a job execution, be improperly setup or just fail job execution. Such elements have to be taken in account whenever targeting a grid environment for execution. In this paper we explore t...

In this paper, two methods that are capable to efficiently partition 3-D unstructured grids for parallel processing, will be presented. Implicit to either of these methods are a recursive bisection pattern, a multilevel acceleration scheme and local refinement heuristics. Although both are based on Genetic Algorithms (GAs), their concept and formulation are completely different. The first metho...

Data is one of the domains in grid research that deals with the storage, replication, and management of large data sets in a distributed environment. The all-data-to-all sites replication scheme such as read-one write-all and tree grid structure (TGS) are the popular techniques being used for replication and management of data in this domain. However, these techniques have its weaknesses in ter...