This book provides an excellent foundation for the principles of database and data management. It explains some of the more difficult concepts fairly well. The book is meant for an introductory course in database management which is usually required as…

Designed for a one-year course on DSP, the book Digital Signal Processing, A Computer Based Approach aims to give seniors or first-year graduate students strong foundations of the analysis and design of discrete-time systems for digital signal processing. Anyway, is…

A book that describes and applies Software Engineering methods according to the state of the art of the subject matter; it is integrated with a proper exemplification and evolves as each topic is introduced. The material is designed for undergraduates…

One of the main challenges of modern processor
designs is the implementation of scalable and
efficient mechanisms to detect memory access
order violations as a result of out-of-order
execution. Conventional structures performing this
task are complex, inefficient and power-hungry.
This…

One of the major breakthroughs in VLSI technology has been its ability to implement signal processing algorithms and architectures onto cost-effective ASIC and DSP chips.
Works in this area are highly interdisciplinary; they involve interaction among areas such as VLSI…

Artificial Neural Networks belong to the sub-symbolic branch of Artificial Intelligence since they allow to find the solution of a problem without the need of knowing the algorithm necessary to solve it. This turns them into a tool based on…

Magnetic Resonance Imaging is one of the most important medical imaging techniques for the investigating diseases of the human brain. A novel method for automatic segmentation Magnetic resonance brain image framework is proposed in this paper. This method consists of…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

Who uses requirements engineering and design methodologies besides the people who invented them? Are researchers -at least- actually trying to use them in real-world complex projects and not in "paper project"? In this paper, we dare to recount the experience…

Modern requirement engineering approaches divide the elicitation process in two different stages: one focused on analyzing the context where the system-to-be will be used and another centered on designing software solutions appropriated to the context modeled. An adequate framework for…