999 resultados para Redes inalámbricas móviles


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Hasta hace algunos años, el interés por la historia de la familia, aunque no era escaso, estaba orientado a enfoques de tipo macrohistórico, ya que el énfasis estaba puesto en las estructuras de la sociedad. La dominación de los planteamientos cuantitativistas impuestos por los Annales, así como la fuerte influencia del marxismo, coadyuvaron en la consideración de la familia, fio como objeto de investigación en sí misma, sino como expresión o ilustración de un funcionamiento económico social global.

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La situación actual del mercado y del sector de las nuevas tecnologías genera la necesidad de que las marcas y las empresas, se comuniquen como entes sociales y a través de medios como las aplicaciones móviles. En este artículo se describe un análisis basado en la valoración de los usuarios de aplicaciones móviles.

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Los nuevos hábitos de consumo de medios en el marco de la convergencia digital están propiciando un cambio en las estrategias de los medios de comunicación. Mientras unos usuarios siguen prefiriendo la radio, la televisión y la prensa tradicional para informarse otros participan de la experiencia digital en internet (blogs, redes sociales...) y dispositivos móviles, etc. En este panorama es complicado precisar dónde nace y termina el contenido o hasta qué punto es la participación del usuario quien (re) construye la información; así los contenidos mutan y se diluyen en varios soportes. En este contexto, la prensa local también vive las consecuencias del nuevo paradigma y asume los retos del reacomodo del sector ante la nueva realidad. Esta comunicación presenta las conclusiones del estudio cualitativo con entrevistas en profundidad a los responsables de medios locales en Cataluña sobre sus usuarios, contenidos y soportes en el marco de la convergencia digital.

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El lanzamiento de las tabletas, especialmente la iPad de Apple en 2010, abrió la competencia entre las compañías de comunicación en el sentido de hacer disponible el contenido para este entorno de medios emergentes. La fuga de lectores de periódicos impresos y la consecuente caída en las ganancias por publicidad, forzó a las compañías periodísticas a que buscaran los otros medios de mantener sus negocios. La diversificación de productos y la penetración de los periódicos en dispositivos móviles constituyen un escenario prometedor para el medio. El vertiginoso volumen de ventas de las tabletas indica que en 2012 serán comercializadas más de 140 millones de unidades en el mundo. El diseño de los periódicos en tabletas está íntimamente ligado al diseño de la versión impresa por la fuerza de su metáfora. El desafío es encontrar un diseño de páginas propio, aprovechando el potencial multimedia sin interferir negativamente en la legibilidad y en el carácter intrínseco de informar.

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Proyecto de aplicación para dispositivos móviles que utiliza la Realidad Aumentada (RA) para contextualizar obras artísticas. Es un producto pensado para museos y galerías pero también para espacios exteriores que posean elementos de valor cultural. Sin embargo, y para servir de ejemplo se ha aplicado en seis piezas destacadas del Museo Episcopal de Vic. Aunque en Europa y EE.UU. los museos ya están innovando en este terreno, en España, que es donde se enmarca el proyecto, existe una carencia de elementos de mediación cultural como estos; sobre todo en los museos de arte donde las obras acostumbran a presentarse despojadas de cualquier herramienta que proporcione información complementaria. Existe, por tanto, una descontextualización del arte que crea barreras para el entendimiento del público general. De esta situación de carencia parte el objetivo principal del producto, el de aprovechar las posibilidades de la RA para mejorar la experiencia y el diálogo entre el visitante y la obra, aportando conocimiento y fomentando el aprendizaje.

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In 2009 the University of Girona (Spain) created four interest groups on teaching innovation. The objective of the project is that lecturers with an interest in teaching innovation can exchange their points of view and learn from one another, so University teaching is improved as a result. There are four such groups: “Problem based learning (ABP)”, “Cooperative learning”, “Evaluation”, and “Information and Communication Technologies (ICTs) and Teaching”. The coordinators of the groups or networks, as they are also called, are chosen on a free basis by its members. This paper presents their point of view as regards the current activity of encouragement of interest in higher education and they elaborate on the main difficulties involved. The implications of the interdisciplinary work are explored, as well as the challenges of an initiative of this kind. The evolution of the ongoing work is reviewed, taking into account the context of a changing University, the lack of previous experience regarding projects of this kind, the asynchronous communication among the participants, and the necessity of a flexible approach in organizational matters

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Although several chemical elements were not known by end of the 18th century, Mendeleyev came up with an astonishing achievement: the periodic table of elements. He was not only able to predict the existence of (then) new elements but also to provide accurate estimates of their chemical and physical properties. This is certainly a relevant example of the human intelligence. Here, we intend to shed some light on the following question: Can an artificial intelligence system yield a classification of the elements that resembles, in some sense, the periodic table? To achieve our goal, we have fed a self-organized map (SOM) with information available at Mendeleyev's time. Our results show that similar elements tend to form individual clusters. Thus, SOM generates clusters of halogens, alkaline metals and transition metals that show a similarity with the periodic table of elements.

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El desarrollo de este trabajo se basa en el análisis de los diferentes tipos de certificados digitales para la tecnología en la Nube y adicionalmente se realiza una recomendación para que se implemente en Ancert una herramienta comercial de firma electrónica.

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The multilayer perceptron network was used to classify the gasoline. The main parameters used in the classification were established by the Ordinance nº 309 of the Agência Nacional do Petróleo, but without informing the network the legal limits of these parameters. The network used had 10 neurons in a single hidden layer, learning rate of 0.04 and 250 training epochs. The application of artificial neural network served classify 100% of the commercialized gas in the region of Londrina-PR and to identify the tampered gasoline even those suspected of tampering.

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Multivariate models were developed using Artificial Neural Network (ANN) and Least Square - Support Vector Machines (LS-SVM) for estimating lignin siringyl/guaiacyl ratio and the contents of cellulose, hemicelluloses and lignin in eucalyptus wood by pyrolysis associated to gaseous chromatography and mass spectrometry (Py-GC/MS). The results obtained by two calibration methods were in agreement with those of reference methods. However a comparison indicated that the LS-SVM model presented better predictive capacity for the cellulose and lignin contents, while the ANN model presented was more adequate for estimating the hemicelluloses content and lignin siringyl/guaiacyl ratio.

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This work propose a recursive neural network to solve inverse equilibrium problem. The acidity constants of 7-epiclusianone in ethanol-water binary mixtures were determined from multiwavelength spectrophotmetric data. A linear relationship between acidity constants and the %w/v of ethanol in the solvent mixture was observed. The proposed method efficiency is compared with the Simplex method, commonly used in nonlinear optimization techniques. The neural network method is simple, numerically stable and has a broad range of applicability.

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In this paper we built three co-authorship networks displaying the acquaintances between countries, universities and authors that have published papers in Quimica Nova from 1995 to 2008. Our research was conducted applying a bibliometric approach to 1782 papers and over 4200 authors. Centrality measures were used and the most significant actors of each network were pointed out. The results using the centrality metrics and the network structures indicated that Quimica Nova resembles a typical scientific community.

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Metal-organic frameworks (MOFs) form a new class of materials with well-defined yet tunable properties. These are crystalline, highly porous and exhibit strong metal-ligand interactions. Importantly, their physical and chemical properties, including pore size, pore structure, acidity, and magnetic and optical characteristics, can be tailored by choosing the appropriate ligands and metal precursors. Here we review the key aspects of synthesis and characterization of MOFs, focusing on lanthanide-based and vanadium-based materials. We also outline some of their applications in catalysis and materials science.

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The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.

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As transformações da prática médica nos últimos anos - sobretudo com a incorporação de novas tecnologias da informação - apontam a necessidade de ampliar as discussões sobre o processo ensino-aprendizagem na educação médica. A utilização de novas tecnologias computacionais no ensino médico tem demonstrado inúmeras vantagens no processo de aquisição de habilidades para a identificação e a resolução de problemas, o que estimula a criatividade, o senso crítico, a curiosidade e o espírito científico. Nesse contexto, ganham destaque as Redes Neurais Artificiais (RNA) - sistemas computacionais cuja estrutura matemática é inspirada no funcionamento do cérebro humano -, as quais têm sido úteis no processo ensino-aprendizagem e na avaliação de estudantes de Medicina. Com base nessas ponderações, o escopo da presente comunicação é revisar aspectos da aplicação das RNA na educação médica.