Gilmar Barreto

Sequential and parallel algebraic Riccati equations solutions via ESST on the Schur method

A method for solving the discrete/continuous algebraic Riccati equation in sequential and parallel and distributed forms, that modifies and proposes a parallelization for the Schur method of Laub (1979) is presented. To transform the symplectic/Hamiltonian matrix in a simple form, elementary stabilized similarity transformations (ESSTs) are utilized. A sequential implementation of the proposed algorithm for dense matrices is made and a parallel implementation on a distributed memory system with an asynchronous parallelization strategy over a workstations network is proposed.

River Water Quality Modeling via Verhaegen and Dewilde's Method

Abstract In this work a proposal for state space modeling of multivariate time series for interconnected river water quality systems is made. It is based on the subspace identification methodology developed by Verhaegen and Dewilde, and it benefits from the traditional river reaches sampling structure for water quality monitoring, management and or control.

A mobile learning that uses ECOLIG and a brain computer interface with Android

A new electronic learning device generation can be created from a new paradigm in human sense and efferent resources. The brain computer interfaces (BCI) with ECOLIG protocol can be used to get the advantages from “Near To Eye” and “Augmented Reality” technologies. In this way, this paper describes the results from an experiment using a mobile phone emulator system, a BCI and ECOLIG protocol to demonstrate the benefits in eliminating the use of touch screen and keyboards features. Finally, it concludes that ECOLIG can be an option for communication in the Human-Machine Singularity world.

Towards in SSVEP-BCI Systems for Assistance in Decision-Making

In recent years, Brain Computer-Interfaces (BCI) has a major focus on systems out of clinical scope. These systems have been used to control electrical and electronic equipment, control of digital games and other kinds of “control”. Such control can be accomplished through decision-making by a BCI system. A paradigm known for this purpose is SSVEP (system based on steady-state visually evoked potential paradigm), in which it is possible to distinguish targets with different frequency flicker through visual evocations. This paper proposes a human-computer interaction system using SSVEP for assistance in decision-making. In particular, the work describes a prototype of traffic lights proposed as a case study. The experiments with this prototype, have created decision-making situations, allowing the SSVEP-BCI system assists the individual to decide correctly.

Kalman Filtering Solution Converges on a Personal Computer

Instantaneous observability is used to watch a system output with very fast signals as well as it is a system property that enables to estimate system internal states. This property depends on the pair of discrete matrices {A(k),C(k)} and it considers that the system state equations are known. The problem is that the system states are inside and they are not always accessible directly. A process, which is a time-varying running program in four parts composes the system under investigation here. It is shown it is possible to apply Kalman filtering on a digital personal computer’s system with particularly the four parts like the ones under investigation. A computing process is performed during a period of time called latency. The calculation of latency considers it as a random variable with Gaussian distribution. The potential application of the results attained is the forecasting of data traffic-jam on a digital personal computer, which has very fast signals inside. In a broader perspective, this method to...

Utilização dos critérios de informação na seleção de modelos de regressão linear

Este trabalho visa demonstrar o comportamento de seis criterios de informacao quando utilizados para a selecao de ordem de modelos do tipo regressao linear.

Sistema Neuro-Nebuloso para Identificação de Processos de Incineração Multivariáveis Não-Lineares Discretos no Tempo

O controle de processos complexos não lineares com múltiplas entradas e múltiplas saídas é um problema importante e desafiador. Para desenvolver um controle que seja adaptativo e eficiente na manipulação das variáveis é necessário realizar a identificação do processo de forma a obter um modelo deste sistema. Sistemas neuro-nebulosos tem sido efetivamente usados para identificar sistemas dinâmicos não lineares, mas geralmente sistemas com única entrada e única saída são considerados. Processos de incineração de efluentes líquidos necessitam do desenvolvimento de controladores inteligentes em seu sistema de combustão e a identificação deste sistema complexo de incineração é a primeira etapa para o desenvolvimento do controlador. Este trabalho apresenta um modelo neuro-nebuloso que pode ser efetivamente usado para representar sistemas dinâmicos multivariáveis. Realizamos uma identificação do sistema de incineração de efluentes da empresa BASF, através da rede neuro-nebulosa ANFIS, onde utilizamos o algoritmo de agrupamento Gath-Geva modificado[1] para determinar a parte do antecedente do conjunto neuro-nebuloso.

Tesla Coil: History and Didactic Construction

Nikola Tesla, with his unconventional interpretation of nature, brought countless inovations. The analysis of his vision brings us a greater comprehension of subjects previously established as having one purpose. By reproducing one of his experiments, the Tesla Coil, we can evince the simplicity and genius in the proposed interpretations.

ANÁLISE DOS CRITÉRIOS DE INFORMAÇÃO PARA A SELEÇÃO DE ORDEM EM MODELOS AUTO-REGRESSIVOS

A modelagem de dados é largamente utilizada em várias áreas do conhecimento, tanto da engenharia, quanto de áreas que, a princípio, não têm relação com engenharia, como arqueologia e psicologia [1]. Um dos problemas com que o pesquisador se depara ao modelar um conjunto de dados é sobre qual a ordem de modelo utilizar. O que se procura é a menor ordem possível, que consiga se adequar satisfatoriamente aos dados. Porém, dados reais têm uma grande chance de nunca se adequarem perfeitamente a algum modelo, seja porque os dados contêm distúrbios (ruídos de medição ou interferências), ou porque o modelo escolhido simplesmente não consegue captar todas as características dos dados a serem modelados. Uma solução para o segundo problema é aumentar a ordem do modelo, permitindo, assim, que o modelo capte características mais complexas dos dados. A questão se torna, então, até onde é razoável aumentar a ordem do modelo para conseguir uma melhor adequação aos dados. Pensando neste ponto, Akaike sugeriu um critério, chamado de “Critério de Informação de Akaike” (Akaike’s Information Criterion – AIC)[2], que pode ser explicado como um critério que dá uma pontuação para o modelo, baseado em sua adequação aos dados e na ordem do modelo.

Didactic videos about basic concepts on alternating current circuits

This work emphasizes the importance of the formulation and application of didactic videos mainly in subjects where the classes are exclusively theoretical, as in the case of the subject ET016 — Electrotechnics, taught at the School of Electrical and Computer Engineering — UNICAMP. It is mandatory and it is offered to the students of the following Colleges: Food Engineering, Agricultural Engineering, Control and Automation Engineering, Mechanical Engineering and Chemical Engineering. In this subject, basic concepts of electricity are taught: single-phase and three-phase circuits; electrical energy production, transmission and application; physical principles and main application of transformers; electrical machinery of induction, asynchronous and direct current; and basic concepts of electric installations and protection devices. Upon elaborating and making these videos available, we aim at arousing a larger interest on the students, causing them to complement and reinforce the content taught at the attended theoretical classes.