This paper presents a review of the power and torque coefficients of various wind generation systems, which involve the real characteristics of the wind turbine as a function of the generated power. The coefficients are described by mathematical functions that depend on the trip speed ratio and blade pitch angle of the wind turbines. These mathematical functions are based on polynomial, sinusoidal, and exponential equations. Once the mathematical functions have been described, an analysis of the grouped coefficients according to their function is performed with the purpose of considering the variations in the trip speed ratio for all the coefficients based on sinusoidal and exponential functions, and with the variations in the blade pitch angle. This analysis allows us to determine the different coefficients of power and torque used in wind generation systems, with the objective of developing algorithms for searching for the point of maximum power generated and for the active control of wind turbines with variations in the blade pitch angle.

This paper presents a review of different mathematical models of both the power coefficient and torque coefficient in wind turbines. These coefficients are used to realize the analysis of a wind turbine, depending on the type of turbine, which is used. The coefficients of power and torque establish the relationship between wind power and power obtained in the turbine. In the review were found various models, the goal of this paper is to classify to find a general model, however, due to the characteristics of the models found, the models were classified into three general groups. Each group was classified according to their mathematical expression, which was exponential, sinusoidal and polynomial. The exponential and sinusoidal models include variations in relation to the specific speed and the pitch angle; and the polynomial models only depend on the specific speed. The models consider the real characteristics of wind turbines. The purpose of this review is to establish mathematical models of power coefficient and torque coefficient, in order to evaluate different models of wind turbines on the emulator.

Sign language is the basic communication method between deaf people. A translator is usually needed when an ordinary person wants to communicate with a deaf one. This paper presents a system for sign language recognition of Mexican sign language to Spanish oral language. In sign language recognition, there are important challenges as to develop methods that solve signer-independent continuous sign problems. This system uses one movement sensor of image for capturing depth images and obtaining information from the skeleton of the human hand than tracking movements in the SRL. Data of this information obtained by the movement sensor. Classification and pattern recognition algorithms as random forests, decision trees and artificial neural networks process them. No gloves, special clothing or accessories are required to work it. Experimental results demonstrate than the proposed system achieves recognition Mexican signs language to letters of Spanish alphabet with an accuracy of 76.19% for sign language recognition. This system is open for future extension.