A discrete event system, is a dynamical system whose state evolves in time by the occurrence of events at possibly irregular time intervals. Place-transitions Petri nets (commonly called Petri nets) are a graphical and mathematical modeling tool ...

Herein, a fault-tolerant parallel pattern matching algorithm with load balancing support is presented, targeting at both homogeneous and heterogeneous clusters of workstations from the perspective of computational power. The algorithm is capable of ...

Computing grid is a promising platform that provides plenty of resource for large scientific computing applications. To achieve the performance of applications in the grid environment, careful resource management is needed. Protein alignment analysis, a ...

Motion estimation (ME) is a process for removing temporal redundancies in video sequences. It contributes most of the compression ratio and consumes typically 60-80% of the video encoding time. This paper investigates parallel execution of ME on the ...

Back Propagation (BP) training algorithm has received intensive research efforts to exploit its parallelism in order to reduce the training time for complex problems. A modified version of BP based on matrix-matrix multiplication was proposed for ...

Current Grid enabling technologies consist of stand-alone architectures. A typical architecture provides middleware access to various services at different hierarchical levels. Services exposed at these levels may be leveraged by the application ...

The academic literature suggests that the extent of exporting by multinational corporation subsidiaries (MCSs) depends on their strategic role in the multinational corporation (MNC), their age and size, and whether their products are targeted at niche ...

On-Line Analytical Processing (OLAP) has become a popular management decision-making tool due to its user-friendly visualization abilities. With this popularity, user's expectation and demands from existing OLAP systems have increased. The described ...

Time-dependent regulation by the network of intracellular proteins that leads a cell to its duplication through cell-division can be modeled by nonlinear autonomous coupled ordinary differential equations. Two such models restricted to different phases ...

The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be well represented using several connectionist paradigms and soft computing ...

This paper describes a neuro-fuzzy modeling framework for predicting the properties of ashes originated from combustion processes for electric generation. The prediction problem is tackled by means of a neuro-fuzzy system in which a neural network and a ...

In this paper, we introduce a new class of kernel functions and try to combine Kmean, EM, and new kernels together, instead of using linear function, we introduce nonlinear softmax output function and cross entropy error function into RBF networks. The ...

The paper presents an integrated methodology for detection and classification of corrosion that can be used to effectively characterize corrosion in critical areas such as lap joints for the aging aircraft. The approach involves a wavelet analysis based ...

Neural network approaches using Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs) for protein secondary structure prediction are presented. A two-stage SVM approach is proposed to capture the contextual relationship of secondary ...

By adding extra input nodes and connecting them through nonlinear elements to the original inputs, it became possible to realize a neural network for any desired output. All digital logic functions are produced by this simple circuit with minimum use of ...

In this paper, a two-dimensional modular architecture for Hopfield neural network and a distance based training algorithm that improves the storage capacity and reduces the structural complexity of Hopfield neural network are presented. Our approach ...

This paper studies task scheduling in a distributed system. A simulation model is used to address performance issues associated with scheduling. Three policies are employed to schedule parallel jobs over a variety of workloads. Their performance is ...

While Peer-To-Peer systems find application on several every day issues, a number of file swapping networks started to emerge. As they got increasingly widespread, certain patterns became apparent. Uneven flow of data and intersperse congestion points ...

The primary constraining factor of the overall performance of a multicomputer system is communication delay. In this work a performance evaluation framework for a distributed memory parallel computer system is investigated. The evaluation is carried out ...