Breast cancer could be cured 99.4% if all tumors are detected by the time they reach 0.4 cm. However, since many normal structures in the breast will be of this magnitude, to detect small tumors we need to align two breast ...

Various imaging procedures, providing different types of information and based on different physical properties of the tissues, are characterized by specific complexities, degrees of hazard, resolutions and price. Electrical ...

The analysis of scattering from an infinite periodic array of microstrip patches is used to study line-source-fed single-layer microstrip reflectarrays. An application of these reflectarrays is in high-gain conformal ...

This thesis concentrates on two subjects related to wave digital filter design and realization. Jarmasz provided an efficient cascade synthesis algorithm of lossless two-port networks by extracting elementary sections step ...

This thesis comprises the studies and results from the application of artificial neural networks (ANN) and fuzzy logic theory to the control of the high voltage direct current (HVdc) systems. The studies considered their ...

The compact transmission configurations such as the double-circuit and multi-phase systems have emerged as a result of the search for compact and efficient systems with minimal environmental hazards. Protective relaying ...

Geomagnetically Induced Currents (GIC), flowing in power systems during Solar Magnetic Disturbances (SMD), can cause severe offset saturation of power system transformers. Continuous saturation of transformers can result ...

The safe and reliable operation of a power system is directly related to the insulation condition of high voltage apparatus in service, which may age and deteriorate under normal operating conditions. Therefore, the detection ...

A Lattice-Gas Automaton (LGA) is an unconditionally stable discrete system in which particles with a small and finite number of states move about on a regular lattice. The dynamics of this system are governed by a reversible ...

Artificial Neural Networks (ANNs) are massively parallel systems which can benefit from technology which allows implementation of an unusually large number of simple computational elements on a single integrated circuit. ...