This paper presents the study of the relationship between soil apparent electrical resistivity ρ _a and i) the moisture content, ii) clay content and iii) soil compaction, for use of the ρ _a as a mapping tool of spatial soil variability. It was held measures of ρa in different soil types, varying moisture content gradually while maintaining a constant compaction, and then varying the compaction and relating it to a constant humidity. For the study of spatial variability, it was chosen an area that would allow the change of moisture content and compaction in order to verify the measurement capacity of ρ _a as methodology of identification of change in soil dynamics. The results obtained are presented and discussed.

In view of the world's energy scenario, it is important to seek exploration of alternative resources of energy. In Brazil there is great availability of biomass that isn't exploited, as in the food industry. The soybean processing industry has production losses that increase the availability of waste and consequently emitting methane gas into the atmosphere. The use of such waste for clean energy generation is advantageous. The work discusses the evaluation of the biomethane generation through anaerobic digestion (AD) at the laboratory level using the AMPTS II equipment, using soybean processing waste as biomass. From the biogas estimative generation was estimation of theoretical energy generation, it was 19KJ/s.

The purpose of this work is to find the values of the electric parameters of synchronous and induction machines in order to validate the electrical interactions between an induction generator and a synchronous generator. The two generators will be connected in two ways: i) isolated to the common bus and ii) jointly connected to the common bus in permanent regime, subject to non-linear load. The results obtained from the comparison of the computational simulation and the experimental tests show that the model represents the real system. It is concluded that with the validation of the model it is possible to predict the behavior of the real system with the insertion of new perturbations.

This paper aims to simulate and analyze an isolated full-bridge DC/DC boost converter, for photovoltaic panels, running a modified perturb and observe maximum power point tracking method. The zero voltage switching technique was used in order to minimize the losses of the converter for a wide range of solar operation. The efficiency of the power transfer is higher than 90% for a large solar operating points. The panel enhancement due to the maximum power point tracking algorithm is 5.06%.

The purpose of this work is to develop devices capable of identifying sign language characters and comparing them in order to verify layout with better accuracy and robustness. The recognition is performed using Artificial Neural Networks and all the input data are signals from flex sensors, accelerometers and gyroscopes, positioned differently on each device. After being trained, validated and tested, the network reachs hit rate about 95.8%. It is proposed as solution to deaf people's accessibility and presents as layout proposal for the development of new devices for recognition of signals that express complete words and phrases.