In this paper, we propose an efficient diagnosis scheme to detect and locate the switching network defects/faults in reconfigurable array architecture. This diagnosis scheme performs the test of switching network based on the scan path and fault intersection test methodology to locate the faults occurring in the switching network. After the diagnosis of switching network, the processing element...

PERFORMANCE EVALUATION OF ASYNCHRONOUS TRANSFER MODE SWITCHING SYSTEMS by EINIR VALDIMARSSON ADVISOR: Professor Jonathan S. Turner December, 1994 Saint Louis, Missouri The design of switching systems is an important and active research area because it is essential to the success of broadband communication systems. The work presented in this thesis provides models that evaluate the performance o...

Pulse Width Modulation (PWM) techniques are commonly used to control the output voltage and current of DC to AC converters. Space Vector Modulation (SVM), of all PWM methods, has attracted attention because of its simplicity and desired properties in digital control of Three-Phase inverters. The main drawback of this PWM technique is &#10its complex and time-consuming computations in real-time ...

Pulse Width Modulation (PWM) techniques are commonly used to control the output voltage and current of DC to AC converters. Space Vector Modulation (SVM), of all PWM methods, has attracted attention because of its simplicity and desired properties in digital control of Three-Phase inverters. The main drawback of this PWM technique is its complex and time-consuming computations in real-time im...

This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...

In our previous research, we confirmed that the chaotic switching noise generated by the cubic map gained a good performance for solving combinatorial optimization problems when the noise was injected to the Hopfield neural network. However, the reason of the good effect of chaotic switching noise has not been clarified completely. In this study, we investigate the solving ability of Hopfield n...

Optical switching cores are fast gaining importance for deployment in internet switches/routers. The reconfiguration of these switches requires a large timely switching overhead. The design of efficient algorithms that take into account the configuration overhead has been widely researched. However, all previous research solely focuses on switching algorithms that optimize the performance featu...

One of the most important issues in power system restoration is overvoltages caused by transformer switching. These overvoltages might damage some equipment and delay power system restoration. This paper presents a radial basis function neural network (RBFNN) to study transformer switching overvoltages. To achieve good generalization capability for developed RBFNN, equivalent parameters of the ...

In this paper, we show the recent progress of photonic network technologies for the new generation network (NWGN). The NWGN is based on new design concepts that look beyond the next generation network (NGN) and the Internet. The NWGN will maintain the sustainability of our prosperous civilization and help resolve various social issues and problems by the use of information and communication tec...

WDM technology has increased network link capacity dramatically, moving the network bottleneck from the transport to the routing layer. Hybrid electro-optical architectures seem at the moment a reliable and cost-effective solution for near-future implementations of the routing/switching layer. In this paper we present a novel approach to dynamic optical circuit switching based on the Optical IP...