Abstract. Accurate modeling of the dynamic stall remains a challenge for design and construction turbine blades helicopter rotors. At same time, wind turbines, instance, are becoming steadily larger, further increasing demands on their structure necessitating even more detailed forces at hand. The primarily used (semi-)empirical models today have long research history invariably based phase-ave...

In this work, a virtual sensor for PM10 concentration monitoring is presented. The based on wavenet models and uses daily mean NO2 meteorological variables (wind speed rainfall) as input. methodology has been applied to the reconstruction of levels measured from 14 stations in Lombardy region (Italy). This region, usually affected by high PM10, challenging benchmarking area implemented sensors....

In this paper we will review the pattern recognition by wavelet transform in the way that it is applied in medical diagnosis and we will discuss about the idea of wavelet networks as a classifier of vital signals. For example, this method can be used for resolution of preprocessed signals to determine the people who subject to exacerbation of Ventricular Tachycardia (VT). Keywords-component; wa...

It is well known that the dynamic position of the rod pumping aid in the diagnosis of onshore oil wells and can be used to control the pumping unit. Even today the acquisition of the position of the polished rod is made using physical transducers of position. However, this paper shows that the dynamic position of the polished rod can be inferred from torque current (which is given by sensorless...

We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks. Deep Voice lays the groundwork for truly end-to-end neural speech synthesis. The system comprises five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-tophoneme conversion model, a phoneme duration prediction model, a fundamental frequency pre...

Anomalous diffusion, which shows a deviation of transport dynamics from the framework standard Brownian motion, is involved in evolution various physical, chemical, biological, and economic systems. The study such random processes fundamental importance unveiling physical properties walkers complex However, classical methods to characterize anomalous diffusion are often disqualified for individ...

An application of wavelet neural network/wavenet in control problems of nonlinear systems is investigated in this study. A wavelet neural network is constructed as an alternative architecture to a neural network to approximate a nonlinear system. Based on approximation capability of wavelet network, a suitable adaptive control law and parameter updating algorithm as applied to nonlinear system ...