Hussein I. Shahein

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Presented in this paper is a tool that automatically migrates analog designs from one process to another while keeping circuit and layout topologies. A netlist migration engine recalculates the new device dimensions in the target technology followed by a layout migration engine that compacts the design according to the new process design rules. The overall(More)
This paper investigates the problem of how an emergency case is taken care of from its location until the time the case reaches an emergency medical center or a hospital. The result of this investigation is an on-line Emergency Medical Services Management Information System (ESMIS). ESMIS is implemented using the TOTAL database management system. Part 1(More)
This paper outlines an algorithm for solving the maximum mixture likelihood clustering problem using an integer-coded genetic algorithm (IGA-ML) where a fixed length chromosome encodes the object-to-cluster assignment. The main advantage of the outlined algorithm (IGA-ML) compared with other known algorithms, such as the k-means technique, is that it can(More)
In this paper, the emergency medical services system of a health care organization are investigated. The result of this investigation is an on-line Emergency Medical Services Management Information System (ESMIS). ESMIS is implemented using the TOTAL database management system. Reports illustrating the system's performance are also provided. Part 1 (this(More)
This work outlines an evolutionary algorithm for image vector quantization. An integer-coded genetic algorithm (GA) that employs the maximum likelihood (ML) measure as the fitness function is introduced. The proposed algorithm allows for different chromosome representations and provides an adaptation to the genetic operators to suit the image quantization(More)
Aspects of a computer-based education (CBE) are described. Recent developments in the use of computer in health-sciences education are highlighted. An interactive computer system ( CALE ) has been developed to provide individualised instruction and testing for biomedical and medical sciences students. CALE is a system for computer assisted learning of(More)
We present an automatic coin classifier mainly depending on visual features. Our multistage system starts out by segmentation using circular Hough Transform, features extraction by two complementary cues and finally classification by simple nearest neighbor measure. Our features extraction process relies on rotation invariant edge orientation followed by(More)
In this paper, a novel technique based on graph theory is introduced to solve sparse linear systems. The proposed technique enhances the ability to build sparse parallel solvers for circuit simulation matrices. Thus the proposed technique improves the performance of circuit simulation algorithms. The new technique represents sparse linear system as a signal(More)