120 resultados para Computación de altas prestaciones


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Este trabajo estudia los orígenes y el desarrollo de la política de inclusión activa a través del empleo como estrategia de lucha contra la pobreza y la exclusión social. Se indican las otras políticas que, en el marco de la Unión Europea, dificultan o impiden la consecución de los objetivos de la política de inclusión, entre ellas la versión puramente flexibilizadora de la flexiseguridad y las ambigüedades y varias alternativas que plantean las políticas de activación. Se expone la relación de la política de inclusión con las prestaciones económicas de garantía de rentas, con especial detalle al caso de la Comunidad Autónoma del País Vasco y a las nuevas condiciones provenientes de las políticas de recorte del gasto público social impulsadas por las instituciones estatales, comunitarias e internacionales.

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El objetivo de este proyecto ha sido el de diseñar un sistema de suspensión englobado en el ámbito de la competición interuniversitaria MotoStudent. Además de la normativa de la competición, dicha suspensión debe cumplir una serie de requisitos extra impuestos por el equipo de MotoStudent de la ETSI de Bilbao. Las características principales de la suspensión en cuestión deben ser las siguientes:  La rigidez del sistema de suspensión debe ser progresiva, de forma que se comporte como una suspensión blanda a bajas solicitaciones, y como una suspensión dura a altas solicitaciones.  A fin de poder adaptar la suspensión de la moto a diferentes circuitos, el esta deberá estar dotada de un sistema de regulación. Para ello el sistema de suspensión elegido es el sistema por bieletas tipo Pro- Link, cuya principal característica es que, en dicha solución, el balancín no solo tiene movimiento angular, sino que tiene también movimiento lineal, de forma que es mucho más versátil a la hora de diseñar. Figura[

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Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Mod- ern award-winning architectures have systematically surpassed previous attempts at tackling computer vision problems and keep winning most current competitions. After a brief study of deep learning architectures and readily available frameworks and libraries, the LeNet handwriting digit recognition network study case is developed, and lastly a deep learn- ing network for playing simple videogames is reviewed.

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Desde siempre se han utilizado las terapias alternativas o complementarias (MAC) para tratar los problemas de salud. Hoy en día han ido sustituyéndose por la medicina convencional que conocemos. A pesar de ello, las cifras de personas en el mundo que las utilizan son muy altas. En este trabajo pondremos en el punto de mira el empleo de las MAC por parte de los profesionales de enfermería para el control del dolor en pacientes crónicos y/o paliativos. Objetivos: Describir el estado de la investigación y la evidencia científica de las MAC, analizar su grado de implantación en la formación enfermera y su empleo en los cuidados a pacientes con enfermedades crónicas que puedan requerir unos cuidados paliativos que cursan con dolor e identificar diferentes técnicas de las MAC aplicables al manejo del dolor por parte de enfermería. Metodología: Para alcanzar los objetivos se ha realizado una revisión narrativa. Se ha buscado en diferentes bases de datos utilizando criterios de inclusión y exclusión que han permitido seleccionar las fuentes bibliográficas necesarias. Conclusión: Las MAC demuestran ser eficaces a la hora de realizar los cuidados y controlar el dolor de los pacientes con enfermedades crónicas que puedan requerir de cuidados paliativos, los profesionales de enfermería son aptos para el empleo de las MAC a nivel hospitalario, las MAC son ya utilizadas por los profesionales de enfermería dentro de la medicina convencional, las MAC no sostienen una MBE, no obstante, están respaldadas por numerosas investigaciones que avalan su eficacia.

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En este proyecto se describirá como construir un modelo predictivo de tipo gradient boosting para predecir el número de ventas online de un producto X del cual solo sabremos su número de identificación, teniendo en cuenta las campañas publicitarias y las características tanto cualitativas y cuantitativas de éste. Para ello se utilizarán y se explicarán las diferentes técnicas utilizadas, como son: la técnica de la validación cruzada y el Blending. El objetivo del proyecto es implementar el modelo así como explicar con exactitud cada técnica y herramienta utilizada y obtener un resultado válido para la competición propuesta en Kaggle con el nombre de Online Product Sales.

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El presente trabajo analiza la eficiencia de la conducción, comprendida en términos de consumo de combustible y las diferencias entre conductores, medidas en un autobús de la compañía Bizkaibus en Vizcaya. El trabajo se realiza a través del análisis multivariante de datos. Los principales métodos de exploración de datos que se han utilizado han sido la regresión (lineal y por mínimos cuadrados parciales) y los árboles de regresión. Los datos provienen de un único autobús, contando para ello con un total de 8 variables. Los datos corresponden al periodo comprendido entre el 10 de diciembre de 2014 y el 30 de marzo de 2015. El análisis se realizó en el lenguaje R, haciendo uso de algunas de sus librerías para diferentes propósitos.

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[EN] This PhD work started in March 2010 with the support of the University of the Basque Country (UPV/EHU) under the program named “Formación de Personal Investigador” at the Chemical and Environmental Engineering Department in the Faculty of Engineering of Bilbao. The major part of the Thesis work was carried out in the mentioned department, as a member of the Sustainable Process Engineering (SuPrEn) research group. In addition, this PhD Thesis includes the research work developed during a period of 6 months at the Institut für Mikrotechnik Mainz GmbH, IMM, in Germany. During the four years of the Thesis, conventional and microreactor systems were tested for several feedstocks renewable and non-renewable, gases and liquids through several reforming processes in order to produce hydrogen. For this purpose, new catalytic formulations which showed high activity, selectivity and stability were design. As a consequence, the PhD work performed allowed the publication of seven scientific articles in peer-reviewed journals. This PhD Thesis is divided into the following six chapters described below. The opportunity of this work is established on the basis of the transition period needed for moving from a petroleum based energy system to a renewable based new one. Consequently, the present global energy scenario was detailed in Chapter 1, and the role of hydrogen as a real alternative in the future energy system was justified based on several outlooks. Therefore, renewable and non-renewable hydrogen production routes were presented, explaining the corresponding benefits and drawbacks. Then, the raw materials used in this Thesis work were described and the most important issues regarding the processes and the characteristics of the catalytic formulations were explained. The introduction chapter finishes by introducing the concepts of decentralized production and process intensification with the use of microreactors. In addition, a small description of these innovative reaction systems and the benefits that entailed their use were also mentioned. In Chapter 2 the main objectives of this Thesis work are summarized. The development of advanced reaction systems for hydrogen rich mixtures production is the main objective. In addition, the use and comparison between two different reaction systems, (fixed bed reactor (FBR) and microreactor), the processing of renewable raw materials, the development of new, active, selective and stable catalytic formulations, and the optimization of the operating conditions were also established as additional partial objectives. Methane and natural gas (NG) steam reforming experimental results obtained when operated with microreactor and FBR systems are presented in Chapter 3. For these experiments nickel-based (Ni/Al2O3 and Ni/MgO) and noble metal-based (Pd/Al2O3 and Pt/Al2O3) catalysts were prepared by wet impregnation and their catalytic activity was measured at several temperatures, from 973 to 1073 K, different S/C ratios, from 1.0 to 2.0, and atmospheric pressure. The Weight Hourly Space Velocity (WHSV) was maintained constant in order to compare the catalytic activity in both reaction systems. The results obtained showed a better performance of the catalysts operating in microreactors. The Ni/MgO catalyst reached the highest hydrogen production yield at 1073 K and steam-to-carbon ratio (S/C) of 1.5 under Steam methane Reforming (SMR) conditions. In addition, this catalyst also showed good activity and stability under NG reforming at S/C=1.0 and 2.0. The Ni/Al2O3 catalyst also showed high activity and good stability and it was the catalyst reaching the highest methane conversion (72.9 %) and H2out/CH4in ratio (2.4) under SMR conditions at 1073 K and S/C=1.0. However, this catalyst suffered from deactivation when it was tested under NG reforming conditions. Regarding the activity measurements carried out with the noble metal-based catalysts in the microreactor systems, they suffered a very quick deactivation, probably because of the effects attributed to carbon deposition, which was detected by Scanning Electron Microscope (SEM). When the FBR was used no catalytic activity was measured with the catalysts under investigation, probably because they were operated at the same WHSV than the microreactors and these WHSVs were too high for FBR system. In Chapter 4 biogas reforming processes were studied. This chapter starts with an introduction explaining the properties of the biogas and the main production routes. Then, the experimental procedure carried out is detailed giving concrete information about the experimental set-up, defining the parameters measured, specifying the characteristics of the reactors used and describing the characterization techniques utilized. Each following section describes the results obtained from activity testing with the different catalysts prepared, which is subsequently summarized: Section 4.3: Biogas reforming processes using γ-Al2O3 based catalysts The activity results obtained by several Ni-based catalysts and a bimetallic Rh-Ni catalyst supported on magnesia or alumina modified with oxides like CeO2 and ZrO2 are presented in this section. In addition, an alumina-based commercial catalyst was tested in order to compare the activity results measured. Four different biogas reforming processes were studied using a FBR: dry reforming (DR), biogas steam reforming (BSR), biogas oxidative reforming (BOR) and tri-reforming (TR). For the BSR process different steam to carbon ratios (S/C) from 1.0 to 3.0, were tested. In the case of BOR process the oxygen-to-methane (O2/CH4) ratio was varied from 0.125 to 0.50. Finally, for TR processes different S/C ratios from 1.0 to 3.0, and O2/CH4 ratios of 0.25 and 0.50 were studied. Then, the catalysts which achieved high activity and stability were impregnated in a microreactor to explore the viability of process intensification. The operation with microreactors was carried out under the best experimental conditions measured in the FBR. In addition, the physicochemical characterization of the fresh and spent catalysts was carried out by Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES), N2 physisorption, H2 chemisorption, Temperature Programmed Reduction (TPR), SEM, X-ray Photoelectron Spectroscopy (XPS) and X-ray powder Diffraction (XRD). Operating with the FBR, conversions close to the ones predicted by thermodynamic calculations were obtained by most of the catalysts tested. The Rh-Ni/Ce-Al2O3 catalyst obtained the highest hydrogen production yield in DR. In BSR process, the Ni/Ce-Al2O3 catalyst achieved the best activity results operating at S/C=1.0. In the case of BOR process, the Ni/Ce-Zr-Al2O3 catalyst showed the highest reactants conversion values operating at O2/CH4=0.25. Finally, in the TR process the Rh-Ni/Ce-Al2O3 catalyst obtained the best results operating at S/C=1.0 and O2/CH4=0.25. Therefore, these three catalysts were selected to be coated onto microchannels in order to test its performance under BOR and TR processes conditions. Although the operation using microreactors was carried out under considerably higher WHSV, similar conversions and yields as the ones measured in FBR were measured. Furthermore, attending to other measurements like Turnover Frequency (TOF) and Hydrogen Productivity (PROD), the values calculated for the catalysts tested in microreactors were one order of magnitude higher. Thus, due to the low dispersion degree measured by H2-chemisorption, the Ni/Ce-Al2O3 catalyst reached the highest TOF and PROD values. Section 4.4: Biogas reforming processes using Zeolites L based catalysts In this section three type of L zeolites, with different morphology and size, were synthesized and used as catalyst support. Then, for each type of L zeolite three nickel monometallic and their homologous Rh-Ni bimetallic catalysts were prepared by the wetness impregnation method. These catalysts were tested using the FBR under DR process and different conditions of BSR (S/C ratio of 1.0 and 2.0), BOR (O2/CH4 ratio of 0.25 and 0.50) and TR processes (at S/C=1.0 and O2/CH4=0.25). The characterization of these catalysts was also carried out by using the same techniques mentioned in the previous section. Very high methane and carbon dioxide conversion values were measured for almost all the catalysts under investigation. The experimental results evidenced the better catalytic behavior of the bimetallic catalysts as compared to the monometallic ones. Comparing the catalysts behavior with regards to their morphology, for the BSR process the Disc catalysts were the most active ones at the lowest S/C ratio tested. On the contrary, the Cylindrical (30–60 nm) catalysts were more active under BOR conditions at O2/CH4=0.25 and TR processes. By the contrary, the Cylindrical (1–3 µm) catalysts showed the worst activity results for both processes. Section 4.5: Biogas reforming processes using Na+ and Cs+ doped Zeolites LTL based catalysts A method for the synthesis of Linde Type L (LTL) zeolite under microwave-assisted hydrothermal conditions and its behavior as a support for heterogeneously catalyzed hydrogen production is described in this section. Then, rhodium and nickel-based bimetallic catalysts were prepared in order to be tested by DR process and BOR process at O2/CH4=0.25. Moreover, the characterization of the catalysts under investigation was also carried out. Higher activities were achieved by the catalysts prepared from the non-doped zeolites, Rh-Ni/D and Rh-Ni/N, as compared to the ones supported on Na+ and Cs+ exchanged supports. However, the differences between them were not very significant. In addition, the Na+ and Cs+ incorporation affected mainly to the Disc catalysts. Comparing the results obtained by these catalysts with the ones studied in the section 4.4, in general worst results were achieved under DR conditions and almost the same results when operated under BOR conditions. In Chapter 5 the ethylene glycol (EG) as feed for syngas production by steam reforming (SR) and oxidative steam reforming (OSR) was studied by using microchannel reactors. The product composition was determined at a S/C of 4.0, reaction temperatures between 625°C and 725°C, atmospheric pressure and Volume Hourly Space Velocities (VHSV) between 100 and 300 NL/(gcath). This work was divided in two sections. The first one corresponds to the introduction of the main and most promising EG production routes. Then, the new experimental procedure is detailed and the information about the experimental set-up and the measured parameters is described. The characterization was carried out using the same techniques as for the previous chapter. Then, the next sections correspond to the catalytic activity and catalysts characterization results. Section 5.3: xRh-cm and xRh-np catalysts for ethylene glycol reforming Initially, catalysts with different rhodium loading, from 1.0 to 5.0 wt. %, and supported on α-Al2O3 were prepared by two different preparation methods (conventional impregnation and separate nanoparticle synthesis). Then, the catalysts were compared regarding their measured activity and selectivity, as well as the characterization results obtained before and after the activity tests carried out. The samples prepared by a conventional impregnation method showed generally higher activity compared to catalysts prepared from Rh nanoparticles. By-product formation of species such as acetaldehyde, ethane and ethylene was detected, regardless if oxygen was added to the feed or not. Among the catalysts tested, the 2.5Rh-cm catalyst was considered the best one. Section 5.4: 2.5Rh-cm catalyst support modification with CeO2 and La2O3 In this part of the Chapter 5, the catalyst showing the best performance in the previous section, the 2.5Rh-Al2O3 catalyst, was selected in order to be improved. Therefore, new Rh based catalysts were designed using α-Al2O3 and being modified this support with different contents of CeO2 or La2O3 oxides. All the catalysts containing additives showed complete conversion and selectivities close to the equilibrium in both SR and OSR processes. In addition, for these catalysts the concentrations measured for the C2H4, CH4, CH3CHO and C2H6 by-products were very low. Finally, the 2.5Rh-20Ce catalyst was selected according to its catalytic activity and characterization results in order to run a stability test, which lasted more than 115 hours under stable operation. The last chapter, Chapter 6, summarizes the main conclusions achieved throughout this Thesis work. Although very high reactant conversions and rich hydrogen mixtures were obtained using a fixed bed reaction system, the use of microreactors improves the key issues, heat and mass transfer limitations, through which the reforming reactions are intensified. Therefore, they seem to be a very interesting and promising alternative for process intensification and decentralized production for remote application.

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Gordon E. Moore, cofundador de Intel, predijo en una publicación del año 1965 que aproximadamente cada dos años se duplicaría el número de transistores presentes en un circuito integrado, debido a las cada vez mejores tecnologías presentes en el proceso de elaboración [1]. A esta ley se la conoce como Ley de Moore y su cumplimiento se ha podido constatar hasta hoy en día. Gracias a ello, con el paso del tiempo cada vez se presentan en el mercado circuitos integrados más potentes, con mayores prestaciones para realizar tareas cada vez más complejas. Un tipo de circuitos integrados que han podido evolucionar de forma importante son los dispositivos de lógica programable, circuitos integrados que permiten implementar sobre ellos las funciones lógicas deseadas. Hasta hace no muchos años, dichos dispositivos eran capaces de incorporar circuitos compuestos por unas pocas funciones lógicas, pero gracias al proceso de miniaturización predicho por la Ley de Moore, hoy en día son capaces de implementar circuitos tan complejos como puede ser un microprocesador; dichos dispositivos reciben el nombre de FPGA, siglas de Field Programmable Gate Array. El presente proyecto tiene como objetivo construir un marco de fotos digital con reloj y despertador programable, valiéndose para ello de la FPGA Cyclone II de Altera y una pantalla táctil de la casa Terasic. Con este fin, se documentará en primera instancia los dispositivos a utilizar con sus características y posibilidades que plantean, para pasar posteriormente al diseño de la aplicación y su implementación e integración en la placa para comprobar su correcto funcionamiento.

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Proyecto de Fin de Grado, especialidad en Computación. Se ha desarrollado un software en ROS para detectar posturas y movimientos de personas. Para ello, se utiliza la información del esqueleto proporcionada por el sensor Kinect y la biblioteca OpenNI. Se ha realizado un enfoque basado en técnicas de aprendizaje supervisado para generar modelos que clasifiquen posturas estáticas. En el caso de los movimientos, el enfoque se ha basado en clustering. Estos modelos, una vez generados, se incluyen como parte del software, que reacciona ante las posturas y gestos que realice un usuario.

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Gordon E. Moore, co-fundador de Intel, predijo en una publicación del año 1965 que aproximadamente cada dos años se duplicaría el número de transistores presentes en un circuito integrado, debido a las cada vez mejores tecnologías presentes en el proceso de elaboración. A esta ley se la conoce como Ley de Moore y su cumplimiento se ha podido constatar hasta hoy en día. Gracias a ello, con el paso del tiempo cada vez se presentan en el mercado circuitos integrados más potentes, con mayores prestaciones para realizar tareas cada vez más complejas. Un tipo de circuitos integrados que han podido evolucionar de forma importante por dicho motivo, son los dispositivos de lógica programable, circuitos integrados que permiten implementar sobre ellos las funciones lógicas que desee implementar el usuario. Hasta hace no muchos años, dichos dispositivos eran capaces de implementar circuitos compuestos por unas pocas funciones lógicas, pero gracias al proceso de miniaturización predicho por la Ley de Moore, hoy en día son capaces de implementar circuitos tan complejos como puede ser un microprocesador; dichos dispositivos reciben el nombre de FPGA, siglas de Field Programmable Gate Array. Debido a la mayor capacidad y por lo tanto a diseños más complejos implementados sobre las FPGA, en los últimos años han aparecido herramientas cuyo objetivo es hacer más fácil el proceso de ingeniería dentro de un desarrollo en este tipo de dispositivos, como es la herramienta HDL Coder de la compañía MathWorks, creadores también Matlab y Simulink, unas potentes herramientas usadas ampliamente en diferentes ramas de la ingeniería. El presente proyecto tiene como objetivo evaluar el uso de dicha herramienta para el procesado digital de señales, usando para ello una FPGA Cyclone II de la casa Altera. Para ello, se empezará analizando la herramienta escogida comparándola con herramientas de la misma índole, para a continuación seleccionar una aplicación de procesado digital de señal a implementar. Tras diseñar e implementar la aplicación escogida, se deberá simular en PC para finalmente integrarla en la placa de evaluación seleccionada y comprobar su correcto funcionamiento. Tras analizar los resultados de la aplicación de implementada, concretamente un analizador de la frecuencia fundamental de una señal de audio, se ha comprobado que la herramienta HDL Coder, es adecuada para este tipo de desarrollos, facilitando enormemente los procesos tanto de implementación como de validación gracias al mayor nivel de abstracción que aporta.