Facultad de Ingeniería

This article describes smart grids basically concepts, an introduction to current problems involving traditional distribution problems. With the advances in smart grids, there will be environmental actions, reducing the environment degradation impact and integrating in a conscientious way natural resources and their exploration. Moreover, this work clarifies the basic structure of smart grids, how they Works, the electrical bidirectional behaviour, the benefits in terms of efficiency and transparency, the most relevant aspects that helps in control and management, for industrial and residential consumers. In this work, many related works have been analyzed in order to understand which solutions are being developed in Brazil. As conclusions, one can notice that smart grids are slowing evolving, however it is expected that in a few years it is completely implemented in Brazil.

Este artigo contextualiza a computação ubíqua, um novo paradigma de computação com características de pró-atividade, onipresença, imperceptibilidade e naturalidade. Apresentam-se conceitos básicos, características do modelo, tecnologias essenciais para seu uso, áreas de aplicações, exemplos de dispositivos, sistemas já desenvolvidos e projetos na área. Além disso, é realizada uma abordagem sobre os desafios da segurança em cenários ubíquos. Em termos metodológicos, parte-se da primeira definição teórica e citação científica do termo por Weiser (1991), e passa-se por alguns trabalhos científicos nacionais e internacionais, assim como por produtos de mercado, que concretizam muito da proposta teórica do autor. Palavras-chave: Computação ubíqua, Computação pervasive, Computação móvel.

A patient with recent myocardial infarction underwent elective direct current countershock because of atria1 tibrillation. After several shocks, the ST segments were strikingly raised throughout the precordial leads, which disappeared with the administration of a perfusion of nitroglycerin. This case is evidence that electrical cardioversion can cause myocardial damage.

RESUMEN Se presenta un sistema software que permite simular y controlar robots móviles, parametrizar características hardware, visualizar el estado de sensores y accionar actuadores (simulados o reales). K++ utiliza un lenguaje de programación propio. Se describen los re-ABSTRACT A software system for simulation and control of mobile robots is presented, which allows hardware characteristic parametrization, sensors state visualization and to drive actuators (simulated or real). K++ uses sultados obtenidos en la programación de un algoritmo de control.

Categoría (1). El labio y/o paladar hendido (LPH) es una malformación de tipo multifactorial, que tiene orígenes principalmente genéticos y ambientales. En Colombia, 6 de cada 10.000 niños nacen con esta malformación, mientras en el resto del mundo la proporción se encuentra en 1 de cada 10.000. El LPH trae consigo patologías en el habla tales como: hipernasalidad, hiponasalidad, golpe glótico, entre otras. De todas estas patologías, la hipernasalidad es la más recurrente en pacientes con LPH, apareciendo aproximadamente en el 90% de los casos. En este trabajo se analiza, experimentalmente, el desempeño del Operador de Energía de Teager (TEO, por las siglas en inglés de Teager Energy Operator), en la detección de dicha patología en pacientes con LPH, cuandoéste es calculado sobre intervalos espectrales alrededor del primer formante F1. Se efectuaron diversas pruebas usando diferentes implementaciones del TEO y aplicándolo a una base de datos compuesta por 550 registros de voces sanas (110 por vocal), y 783 registros de voces hipernasales (aproximadamente 156 por vocal). Los resultados obtenidos indican que es posible mejorar la capacidad de discriminación del TEO para detectar hipernasalidad. Palabras Claves-Hipernasalidad, Operador de energía de Teager (TEO), Labio y/o Paladar Hendido (LPH).

Autonomous systems can assist humans in the important task of safe driving. Such systems can warn people about possible risks, take actions to avoid accidents or guide the vehicle without human supervision. In railway scenarios a camera in front of the train can aid drivers with the identification of obstacles or strange objects that can pose danger to the route. Image processing in these applications is not easy of performing. The changing conditions create scenes where background is hard to detect, lighting varies and process speed must be fast. This article describes a first approximation to the solution of the problem where two complementary approaches are followed for detecting and tracking obstacles on videos captured from a train driver perspective. The first strategy is a simple-frame-based approach where every video frame is analyzed using the Hough transform for detecting the rails. On every rail a systematic search is done detecting obstacles that can be dangerous for the train course. The second approach uses consecutive frames for detecting the trajectory of moving objects. Analyzing the sparse optical flow the candidate objects are tracked and their trajectories computed in order to determine their possible route to collision. For testing the system we have used videos where preselected fixed and moving obstacles have been superimposed using the Chroma key effect. The system had shown a real time performance in detecting and tracking the objects. Future work includes the test of the system on real scenarios and the validation over changing weather conditions.