The proportional integral derivative (PID) controller is still the most used in industry. Many of the PID design techniques are based on the process model and formulated for systems with one input and one output. The desired ...

This work presents techniques for designing codebooks applied to vector quantization (VQ) of speech signals and images. The first technique, referred to as SOA (selforganizing algorithm), is inspired on Kohonen's algorithm. ...

The main objective of this thesis is to develop an analytic method for designing translation-invariant operators via neural network training. A new neural network architecture, called Modular Morphological Neural Network ...

Computational errors and quantum erasures are the types of changes that may occur naturally due to the interaction between quantum systems and the environment. The aim of this thesis is to propose a code capable of performing ...

The study of human error generally focuses on the investigation of its causes. Analyzing accident and incident reports has been the path taken by many authors in the context of the human error studies. These reports tend ...

This work deals with the application of a hybrid technique (parametric and statistical), which uses Linear Prediction Analysis, Vector Quantization, Neural Networks and Hidden Markov Models, to develop an automatic vocal ...

This thesis presents a new methodology for polygonal model based 2D shape recognition. This methodology enables a unified treatment to the model building and recognition problems, through the use of discriminant functions. ...

This work presente a multiple classifier system applied to the handwritten word recognition (HWR) probiem. The goal is to investigate the use of perceptual models in the development of recognition systems. The handwritten ...

In this work, it was developed a data acquisition system capable of acquiring impulsive signal of voltage and current. With these data it is possible to evaluate the degradation conditions of energized ...

This work dcals with the study of artificial neural networks(ANN) to solve optmization problems and their applications in the mid-tcrm operation planning of hydrothermal gencration systcms. The operation planning problem ...