This paper describes a new method for harvesting maximum electrical energy in wind farms. In proposing technique, the stochastic process principles are applied for detecting fault measurements of sensors. On the other hand, the wind farm is modeled by using fuzzy concept. Thereby the turbines are controlled against continuous changes in speed, direction and eddy currents of the blowing wind. To...

In the present work, a stainless steel wire was etched by hydrochloric acid during a chemical etching process. The obtained black layer on the surface of the fiber was used as sorbent for extraction of trace amount of phthalates in the aqueous samples by solid phase microextraction. New fiber efficiency was investigated using a home-made solid-phase microextraction (SPME) device and gas chr...

This paper presents novel voice activity detection (VAD) approach based on incremental subspace learning using harmonicity-based features. Harmonic structure is well known as noise robust speech feature. We develop novel harmonicitybased feature based on temporal-spectral co-occurrence patterns. At statistical decision stage, many conventional statistical VAD methods rely on Gaussian model; how...

The use of analytics in decision-making processes is a key element for organizations to be competitive. However, experience indicates that many organizations still have not managed to fully understand how to use properly the available data for diagnosing, improving and controlling processes or modelling, predicting and discovering business opportunities. This situation is even more exaggerated ...

We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty detection is the problem of classifying new observations from previous samples, as either novel or belonging to the background class. An adaptive background model, based on a linear PCA model in combination with local, spatial tr...