Entre orquídeas e girassóis :o laboratório de Enfermagem na visão de estudantes

To study the teaching/learning process about the Nursing procedures carried out in the laboratory, and learn both the sapiens and the demens dimensions of such process, is the main purpose of this study. The objectives are to: identify the major laboratory contributions to the teaching/learning process from the point of view of undergraduate students and the feelings they express; describe the difficulties they have identified; and analyze the relevance of the laboratory to this process. As part of the inquiry procedure, four core group meetings were held with 26 undergraduate students who had completed the course on Semiology and Semiotics in Nursing, which is the course where the Nursing laboratory is most needed as a learning space. The analysis, based on a qualitative approach, had as fundamental theoretical support studies made by Friedlander and Hayashida, who deal with learning/teaching in the Nursing laboratory, and by authors who favor humanization in teaching such as, among others, Freire, Maturana, Morin, Assmann. Results point toward the relevance of the Nursing laboratory as a facilitator for the learning/teaching process. In their speech the students repeatedly state that the development of procedures in simulated situations enable them to become more self-assured and technically prepared for caring. In addition, they emphasize that feelings such as fear, lack of confidence, anxiety, anguish and panic become diminished at the time of their clinic experience when they have had previous learning in the laboratory. They have also acknowledged that some difficulties of structural nature have become obstacles to a high-quality learning development. In summary, in spite of the difficulties that have been pointed out by the students concerning the use of the Nursing laboratory in the learning/teaching process, they also recognize that this is the locus par excellence where they can develop their skills and appease their anxieties

Mapeamento robótico 2,5-D com representação em grade de ocupação-elevação

This work introduces a new method for environment mapping with three-dimensional information from visual information for robotic accurate navigation. Many approaches of 3D mapping using occupancy grid typically requires high computacional effort to both build and store the map. We introduce an 2.5-D occupancy-elevation grid mapping, which is a discrete mapping approach, where each cell stores the occupancy probability, the height of the terrain at current place in the environment and the variance of this height. This 2.5-dimensional representation allows that a mobile robot to know whether a place in the environment is occupied by an obstacle and the height of this obstacle, thus, it can decide if is possible to traverse the obstacle. Sensorial informations necessary to construct the map is provided by a stereo vision system, which has been modeled with a robust probabilistic approach, considering the noise present in the stereo processing. The resulting maps favors the execution of tasks like decision making in the autonomous navigation, exploration, localization and path planning. Experiments carried out with a real mobile robots demonstrates that this proposed approach yields useful maps for robot autonomous navigation

Acelerando algoritmos de baixo nível em visão robótica com hardware reconfigurável

A challenge that remains in the robotics field is how to make a robot to react in real time to visual stimulus. Traditional computer vision algorithms used to overcome this problem are still very expensive taking too long when using common computer processors. Very simple algorithms like image filtering or even mathematical morphology operations may take too long. Researchers have implemented image processing algorithms in high parallelism hardware devices in order to cut down the time spent in the algorithms processing, with good results. By using hardware implemented image processing techniques and a platform oriented system that uses the Nios II Processor we propose an approach that uses the hardware processing and event based programming to simplify the vision based systems while at the same time accelerating some parts of the used algorithms