Presents the mathematical basis and some results, concerning the application of Haar's wavelets, as an expansion function, in the method of moments to solve electrostatic problems. Two applications regarding the evaluation of linear and surface charge densities were carried out: the first one on a finite straight wire, and the second one on a thin square plate. Some optimization techniques were used, whose main computational performance aspects are emphasized. Presents comparative results related to the use of Haar's wavelets and the conventional expansion functions.

This paper presents the mathematical basis, and some results, concerning the application of the Haar's Wavelets as the expansion function in the method of moments. Some computational optimization techniques are used, and their main aspects are stressed in the paper. As an example, the surface charge density on a finite and thin plane plate calculation is presented, in which the main computational performance aspects are evaluated.

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This study develops a method to detect trend reversals followed by significant drops in Brazilian Stock Market using wavelets. Applying the concept of the log-periodic power-law, whose oscillations present reduction in amplitude and period as the critical moment approaches (where there is a higher probability of market drop), it used the Continuous Wavelet Transform to detect the increasing oscillation frequency in the stock price, time series and generate sell signals. An algorithm was developed to test different kinds of wavelets and parameters to calculate the Wavelet Index, evaluating whose combination of parameters brings the best results and comparing these results with the existing Technical Analysis tools. The results show that the proposed method to calculate the Wavelet Index detects successfully the significant drops (over 10%) in the Brazilian Stock Market. Considering drops over 15%, there were losses due to early sales of 45% (average) in the search set and 43.9% in the test set, without false negatives, using mainly the Meyer wavelet. Its performance was also better than existing Technical Analysis tools, like MACD and RSI.

A demand clean and renewable energy through the use of submerged turbines. Using this new source of energy that we can grow the production of electrical energy from sustainable way. This paper presents the simulation of maritime currents using a wind tunnel which allows the comparison of speed variations of water compared to air. It also features a brake system that uses a magnetic sensor in real time using the wavelets. As an example, it can be the ones mentioned concerning the feedback control system applied in a brand WEG motor of 100 hp with 2 poles 3500rpm rotation. Using software tools, the Acquired data are post-processed.