Retrato, autorretrato e identidad en educación infantil

La investigación recoge una experiencia didáctica en la etapa de Educación Infantil en la que se trabaja la identidad propia y la de los compañeros a través del arte, concretamente del género del retrato y del autorretrato. Este género es fácilmente reconocible por el alumnado de Infantil que, además, le permite representar la figura humana, sus atributos, así como las emociones o relaciones personales que ellos identifican. La experiencia didáctica se ha llevado a cabo en cinco centros de la provincia de Alicante (España) en aulas de Educación Infantil. Los resultados muestran la capacidad del alumnado de reconocer las partes del cuerpo, de representarlas sobre sí mismos y sobre los demás, e incluso de mostrar las emociones o las relaciones sociales presentes en su vida.

Adjustable compression method for still JPEG images

There are a large number of image processing applications that work with different performance requirements and available resources. Recent advances in image compression focus on reducing image size and processing time, but offer no real-time solutions for providing time/quality flexibility of the resulting image, such as using them to transmit the image contents of web pages. In this paper we propose a method for encoding still images based on the JPEG standard that allows the compression/decompression time cost and image quality to be adjusted to the needs of each application and to the bandwidth conditions of the network. The real-time control is based on a collection of adjustable parameters relating both to aspects of implementation and to the hardware with which the algorithm is processed. The proposed encoding system is evaluated in terms of compression ratio, processing delay and quality of the compressed image when compared with the standard method.

A Finite Element Numerical Algorithm for Modelling and Data Fitting in Complex Systems

Numerical modelling methodologies are important by their application to engineering and scientific problems, because there are processes where analytical mathematical expressions cannot be obtained to model them. When the only available information is a set of experimental values for the variables that determine the state of the system, the modelling problem is equivalent to determining the hyper-surface that best fits the data. This paper presents a methodology based on the Galerkin formulation of the finite elements method to obtain representations of relationships that are defined a priori, between a set of variables: y = z(x1, x2,...., xd). These representations are generated from the values of the variables in the experimental data. The approximation, piecewise, is an element of a Sobolev space and has derivatives defined in a general sense into this space. The using of this approach results in the need of inverting a linear system with a structure that allows a fast solver algorithm. The algorithm can be used in a variety of fields, being a multidisciplinary tool. The validity of the methodology is studied considering two real applications: a problem in hydrodynamics and a problem of engineering related to fluids, heat and transport in an energy generation plant. Also a test of the predictive capacity of the methodology is performed using a cross-validation method.