http://hdl.handle.net/10553/120 2013-05-24T18:09:00Z http://hdl.handle.net/10553/9923 Título : Los sistemas complejos y el mundo del deporte Autor : García Manso, Juan M.; Martín-González, J.M.; Da Silva-Griggoletto, M.E. Resumen : [ES] En el campo del deporte y del entrenamiento deportivo, un terreno particularmente multidisciplinar, pocos trabajos se han hecho hasta el momento desde la óptica de los sistemas complejos. Tampoco el mundo de la medicina ha asumido de forma sólida esta forma de entender el mundo. La tradicional visión del deporte y de las ciencias que lo alimentan es simple y siempre realizada desde un punto de vista lineal del mundo. Un fenómeno es lineal si la respuesta es proporcional al estímulo. Tratamos en este trabajo de plantear nuestro entorno desde el principio de la no-linealidad, del comportamiento caótico y de la interconexión de los procesos y los sucesos. Entendemos que esto nos ayudará a mejorar la idea que tradicionalmente nos determina la estructura del deporte y su propia lógica interna; [EN] In the sports and the sports training fields, an especially multidisciplinary area, only a few works have been made so far from a complex systems standpoint. Neither has the medical world solidly attained this way of understanding the world. The traditional view of sports and the sciences that nurture it, is simple and always performed from a lineal standpoint. A phenomenon is only considered lineal if the response is proportional to the stimulus. In this paper, we try to outline our environment from the non-linearity principle, the chaotic behavior, and the interconnection of processes and events. We understand this might help improve the idea that has traditionally determined the structure of sports and its own internal logic. 2012-01-01T00:00:00Z http://hdl.handle.net/10553/9883 Título : Analysis of competitiveness in the NBA regular seasons Autor : Saá Guerra, Yves de; Martín-González, J.M.; Arjonilla López, Nieves; Sarmiento Montesdeoca, Samuel; Rodríguez Ruiz, David; García Manso, Juan M. Resumen : [EN] Research background and hypothesis. Several attempts have been made to understand some modalities of sport from the point of view of complexity. Most of these studies deal with this phenomenon with regard to the mechanics of the game itself (in isolation). Nevertheless, some research has been conducted from the perspective of competition between teams. Our hypothesis was that for the study of competitiveness levels in the system of league competition our analysis model (Shannon entropy), is a useful and highly sensitive tool to determine the degree of global competitiveness of a league. Research aim. The aim of our study was to develop a model for the analysis of competitiveness level in team sport competitions based on the uncertainty level that might exist for each confrontation. Research methods. Degree of uncertainty or randomness of the competition was analyzed as a factor of competitiveness. It was calculated on the basis of the Shannon entropy. Research results. We studied 17 NBA regular seasons, which showed a fairly steady entropic tendency. There were seasons less competitive (? 0.9800) than the overall average (0.9835), and periods where the competitiveness remained at higher levels (range: 0.9851 to 0.9902). Discussion and conclusions. A league is more competitive when it is more random. Thus, it is harder to predict the fi nal outcome. However, when the competition is less random, the degree of competitiveness will decrease signifi cantly. The NBA is a very competitive league, there is a high degree of uncertainty of knowing the fi nal result. 2013-01-01T00:00:00Z http://hdl.handle.net/10553/4362 Título : Cálculo de velocidades oceánicas superficiales en el área del afloramiento del NW de África mediante imágenes del sensor AVHRR Autor : García Weil, Luis; Tejera Cruz, Alicia; Cantón Garbín, Manuel; Nykjaer, L. Resumen : En el presente estudio, una serie de pares de imágenes consecutivas del sensor Advance Very High Resolution Radiometer separadas entre si 24 horas son utilizadas con el objetivo de deducir velocidades de flujo superficial en el área del afloramiento del NW de África. El método utilizado es el método de las correlaciones cruzadas bidimensionales entre imágenes de satélite sucesivas, que representan el movimiento de las estructuras observadas. Los resultados de aplicar este método son analizados y discutidos. ABSTRACT In this study, some pairs of consecutive satellite images from the Advance Very High Resolution Radiometer (AVHRR) with a time separation of 24 hours are used in order to derive the sea surface flow velocities in the Northwest African up welling area. The method used is the Maximum Cross Correlation Method (MCC), and it consists in locate the maxima of bidimensional cross correlations between consecutive images. That maxima represent the movement of the observed features. The results are analyzed and discussed 1994-01-01T00:00:00Z http://hdl.handle.net/10553/4361 Título : Observación radiométrica de la superficie del mar en condiciones de nubosidad persistente Autor : Maroto, Leire; Pérez Marrero, Javier; Llinás González, Octavio; Rueda-López, María José; García Weil, Luis; Cardona, L.; Villagarcía Ubeda, Guadalupe del Mar Resumen : Se presenta un producto de satélite optimizado para estudios de mesoescala, obtenido como una mejora de la imagen media. El producto optimizado como media que es, no ofrece una visión instantánea del medio, pero sin embargo es adecuado para el estudio en mesoescala de áreas marinas sometidas a condiciones de nubosidad persistente, ya que proporciona una visión continuada en el espacio y en el tiempo. Ambas características le confieren una gran utilidad en la observación y seguimiento de las estructuras oceanográficas. El ritmo de la variación en el tiempo para fenómenos marinos es del orden de varios días, por lo que el proceso estadístico no merma de forma significativa ninguna característica física sino que por el contrario aumenta la posibilidad de observarlas ya que es capaz de secuestrar las señales que más se conservan y elimina las que provocan ruido en la información. Se presentan también los resultados de la validación de este producto. ABSTRACT obtained as an improvement of average image is presented. The average optimal product does not provide an instantaneous view of the area; however it is adequated to study at mesoescale level marine areas under cloudy conditions. It gives a continous vision in time and in space. Both characteristics confer it a great use for observation and monitoring of oceanographic structures. The rate of time variation in the ocean of marine phenomena is in the order of several days so the statistical process does not significantly affect any physical charactheristic. On the contrary, it improve the possibility to catch the permanent signal and remove noisy signals. Validation results are also presented for the proposed product. 2006-01-01T00:00:00Z