Desde finales de los años noventa, los sistemas GNSS se han convertido en una herramienta generadora de valor añadido en los procesos de negocio de las empresas de la mayoría de sectores de actividad. La aparición de nuevos equipos de uso personal que incorporan GPS, como Smartphone, tabletas, PCs y equipos multimedia, junto con la capacidad de almacenar datos geográficos y de tener acceso a servicios de telecomunicación, han permitido a empresas y organizaciones poder ofrecer nuevos servicios que ayuden a optimizar los recursos móviles y a abrir nuevos mercados. Además, la definitiva desactivación...

The Interaction of electromagnetic waves with dielectric bodies and metals has been extensively studied because of its importance to problems including propagation through rain or snow, scattering by and detection of air borne particles, coupling to missiles with plasma plumes or dielectric-filled apertures, performance of communication antennas in the presence of dielectric and magnetic inhomogeneities, and medical diagnostics and power absorption in biological bodies. Computational electromagnetics methods (CEM) offer and indispensable tool for calculating the electromagnetic scattering from an internal field distribution of arbitrarily shaped, inhomogeneous, dielectric bodies. The aim of this thesis is the study and simulation of a RF coils system design by developing a novel parallel fast Method of Moments (MoM) modeling approach suitable for the simulation of dielectric bodies and metals. The parallel fast MoM implementation uses volume and surface basis functions with special properties appropriate for the representation of flux current densities for perfect electric conductors (PEC) and dielectrics. The results obtained with our modeling method were confirmed by comparisons with analytical solutions and other commercial software results, yielding very good agreement. The RF coil is employed in high field Magnetic Resonance Imaging (MRI) to obtain high quality brain images. Among all the clinical imaging techniques, MRI stands as a noninvasive technique that provides accurate, detailed anatomic images, which has had a major impact in the diagnosis of human diseases. MRI is a widely use soft-tissue imaging modality that has involved over the past several years into a powerful and versatile medical diagnostic tool capable of providing in-vivo diagnostic images of human anatomy. Current research areas in MRI system design are driven by the need to obtain detailed high resolution images with improved image signal-to-noise ratio (SNR) at a given magnetic field strength. One of the most critical factor that influences the quality and resolution of the MRI is the homogeneity of the RF field. To this end, this requirement demands the development of high performance MRI radio frequency (RF) coils and a standard procedure for enhancing the uniformity of the field directly at the modeling stage of the RF Coil.

hina’s air pollution has reached a critical state, and is characterized by heavy coal smoke and a wide presence of ozone and particulate matter (PM2.5). From 2011, through the 12th five year plan, the prevention and control of air pollution entered a new ‘transition stage’ guided by the principles of sustainability and energy conservation, and also intensified by pressure from the society. This article is divided into two parts: first, it introduces the most important changes, problems and advances during this transition, including a brief explanation of the policy mechanisms. Second, it illustrates how research in the area of Science and Technology Studies (STS) can bring about new ways to understand the problems of the knowledge-policy and public engagement of air pollution in China.

Se presenta una metodología para aplicar calidad de servicio sobre redes ópticas de transporte (OTN), se realizara un análisis de conceptos básicos de las redes OTN y algunas de sus funcionalidades que permiten calidad de servicio en entorno de protección para redes IP. También se presentan simulaciones en la conmutación de paquetes fotónicos y la conmutación de longitud de onda para proporcionar calidad de servicio.

Los peatones representan uno de los principales actores y también las principales víctimas en los sistemas de movilidad a nivel mundial. Según cifras de la Corporación Andina de Fomento, el 51% de las víctimas de accidentes de tránsito en el mundo, son peatones. Esto representa impactos económicos, sociales y morales directamente sobre las víctimas, así como sobre su entorno familiar y sobre las ciudades. De acuerdo con la Organización Mundial de la Salud y la Organización Panamericana de la Salud, la reducción de la accidentalidad es una prioridad para el desarrollo de los países. A pesar de su importancia, los peatones y su dinámica no son considerados en la mayoría de estudios y métodos de diseño de sistemas de movilidad. Las normas para el diseño de sistemas de movilidad no consideran los peatones como entes autónomos, sino que presentan ciertos lineamientos únicamente referidos al diseño y dimensionamiento de la infraestructura; las guías para el diseño de sistemas peatonales, no tienen en cuenta su comportamiento, sino que se centran en ciertos componentes estáticos del sistema; los enfoques académicos se centran en el estudio del flujo de peatones en lugares específicos de la ciudad sin considerar sus relaciones con otros puntos u otros elementos del sistema de movilidad; y por último, los planes de movilidad peatonal solo consideran algunos de los componentes del sistema peatonal. Sin embargo, ningún modelo existente se centra en el estudio del comportamiento de los actores del sistema peatonal y de sus comportamientos emergentes. En este proyecto se propone un modelo de inteligencia colectiva que permite estudiar, analizar y explicar el comportamiento de los sistemas de movilidad peatonal considerando la complejidad de los sistemas sociales y consolidando el uso de la simulación. El modelo se construye siguiendo la metodología definida por el grupo de investigación Sistemas Expertos y Simulación (SES) para el análisis de problemas sociales y la metodología de análisis de factores (MicMac) de Michael Godet, robusteciendo las teorías sobre inteligencia colectiva. Se cuenta con un modelo computarizado basado en dinámica de sistemas, como resultado del despliegue del modelo de inteligencia propuesto, así como con una base de conocimiento sobre los sistemas peatonales, que permite verificar su aplicabilidad en un caso de estudio real en la ciudad de Bogotá-Colombia.

Abstract: The standard IEC 61400-1, v.4.0 proposes at appendix J a method to determine the probability of extreme winds, based on the simulation of artificial cyclones and the theory of gradient wind. This method considers marginal statistical distributions for 5 main descriptors of cyclones (pressure depth, radius of maximum wind speed, translation speed, angle to the point of reference and mini-mum distance), a “modified orthogonal decomposition” to generate artificial cyclones and its own formulas to determine surface wind, cumulative probabilities and annual maximum surface wind. This research pursued to implement and to validate the standard at North West Pacific. Due to the difficulty and highly empirical elements of IEC 61400-1, v.4.0, it was required to modify it and include in the model other inputs such as well known statistical distributions after testing them, Nataf trans-formation (ERANataf) to generate artificial cyclones and empirical cumulative distribution functions to determine the probability of annual maximum surface wind. For the verification and validation, the results of 9 locations distributed in South Korea, Japan, HongKong and Taiwan were compared with the database of the Joint Typhoon Warning Center and theRSMC-Tokyo. The implementation of this research underestimated surface wind in all the locations.Simultaneously, the greatest contribution of input variables to sensitivity was more frequent from super index B of Holland. It would be desirable to continue validating this standard (that is presumed to have a global application), to understand the challenges of its theory during the computation of surface wind from gradient wind and to overcome the issues of its implementation.

Abstract: Essential Tremor (ET) is the most frequent movement disorder in adults. Upper-limb exoskeletons are a promising solution to alleviate ET symptoms. We propose a novel wrist exoskeleton for tremor damping. The TuMove exoskeleton is light-weight, portable, easy to use, and designed for ADLs and activities requiring hand dexterity. We validated the effectiveness of our exoskeleton by inducing forearm tremors using TENS on 5 healthy subjects. Our results show that wrist ranges are generally kept in most of the ROM needed in ADLs. The damping system reduced more than 30% of the tremor's angular velocity during drinking and pouring tasks. Furthermore, the completion time of the Archimedes spiral was decreased by 2.76 seconds (13.0%) and for the 9-Hole-Peg-Test by 2.77 seconds (11.8 %), indicating a performance improvement in dexterity tasks.

Abstract: Adequate initial bolt preload is necessary to ensure the strength and stiffness of bolted connections. In this study, an experimental torque control method was used to determine the relationship between tightening torque and preload of nine Extended Hollo-Bolt (EHB) blind bolted connections to Concrete-Filled Steel Hollow Sections (CFSHS). In order to obtain the EHB nut factors, which allow to calculate the level of preload for any value of applied torque, torque versus preload curves were drawn based on the experimental results and curve fitting method was carried out. Bolt preload relaxation was also recorded for a period of 7 days while concrete hardening occurred. Additionally, a detailed 3D Finite Element (FE) model of the tightening stage of the EHB was established. The experimental and numerical results show that the nut factor for the EHB is higher than that of standard bolts and bolt relaxation is not affected by the concrete presence during the hardening stage. Adequate friction coefficients were proposed as well as an equation for calculating the residual preload of the EHB. Resumen: Es necesaria una precarga inicial adecuada del perno para garantizar la resistencia y rigidez de las conexiones atornilladas. En este estudio, se utilizó un método experimental de control de torque para determinar la relación entre el torque de apriete y la precarga de nueve conexiones empernadas ciegas Extended Hollo-Bolt (EHB) a secciones huecas de acero rellenas de concreto (CFSHS). Para obtener los factores de tuerca EHB, que permiten calcular el nivel de precarga para cualquier valor de torque aplicado, se dibujaron curvas de torque versus precarga con base en los resultados experimentales y se llevó a cabo el método de ajuste de curvas. También se registró la relajación de la precarga de los pernos durante un período de 7 días mientras se producía el endurecimiento del hormigón. Además, se estableció un modelo 3D detallado de elementos finitos (FE) de la etapa de apriete del EHB. Los resultados experimentales y numéricos muestran que el factor de tuerca para el EHB es mayor que el de los pernos estándar y la relajación del perno no se ve afectada por la presencia del concreto durante la etapa de endurecimiento. Se propusieron coeficientes de fricción adecuados así como una ecuación para calcular la precarga residual del EHB.

Abstract: This study investigates the combustion characteristics of blends of bituminous coal (BC) with two by products of the coffee industry, spent coffee ground (SCG) and coffee husk (CH), at 10, 30, and 50 wt% using a thermogravimetric analyzer (TGA). For comparison purposes, blends of BC and wood pellets (WP) at the same mass ratios were also investigated. The thermal behavior and fuel interactions in the blends during combustion were characterized by the ignition index (Di), combustion index (S), and potential synergistic effects. The interactions between the materials in the blends led to an enhancement of up to 93.5% and 128.5% in Di, and 175.2% and 96.35% in S of the bituminous coal when blended at 50 wt% with SCG and CH, respectively. Furthermore, clear synergistic effects were observed with the combustion of BC-SCG blends, whereas the combustion of BC-CH blends did not show any appreciable synergistic effects.

Abstract: The aim of this research was to investigate the combustion behaviour of coal and biomass blends using a pilot-scale bubbling fluidised bed reactor. The blends were prepared with a traditionally used biomass fuel (i.e. wood) and selected rich in alkali-metals biomass fuels (i.e. wheat straw and spent coffee grounds (SCG)) to investigate the potential of SCG as a fuel and the effect of ilmenite on agglomeration tendency when used as an additive and alternative bed material. To elucidate the interaction between the fuels in the blends and the effect of ash composition, thermogravimetric and ash fusibility studies were performed looking at both the parent fuels and blends. Initially, thermogravimetric studies focused on understanding the thermal decomposition of coal blended with by-products (spent coffee ground (SCG), and coffee husk (CH)) of coffee crop. Blends with wood were included for comparison purpose. The blends were prepared by blending coal with biomass at 10, 30 and 50 wt%. The experiments were performed under inert and oxidising conditions to elucidate the thermal behaviour and fuel interactions. The results showed that the inclusion of either spent coffee grounds or coffee husk in coal combustion can enhance the combustion performance. Indeed, the blends with spent coffee grounds were found to be more reactive than those with coffee husk and with similar characteristics to the blends with wood. It was attributed to the existence of synergistic effects. These results offer compelling evidence of the potential of by-products from the coffee crop, especially spent coffee grounds for energetic applications. The study of ash fusibility characteristics investigated the ash fusibility temperatures under oxidising conditions of coal ash blended with ash from spent coffee grounds. Blends with wheat straw ash were included for comparison purpose. Particular attention was paid to the blending ratio effect on ash fusibility temperatures. The results showed that SCG is an interesting fuel in co-processing due to the low ash content and high ash fusibility temperatures when blended with coal. The high ash fusibility temperatures of the blends were attributed to the high content of CaO, MgO, and P2O5 in SCG with negligible content of SiO2 and Cl, complementing the high content of Al2O3 and Fe2O3 in coal. Evidence from this study suggests that the high ash fusion temperatures in the blends of coal with spent coffee grounds can reduce the common operational issues related to biomass ash such as agglomeration. This can also provide confidence for large scale thermochemical conversion systems fuelled by such kind of coal and biomass blends to be able to maintain long-term stable operation. The final part of this research focused on co-combustion experiments in a pilot-scale BFB aiming to investigate the potential of SCG as a fuel, and ilmenite as an additive and alternative bed material. For comparison purpose blends of coal with wheat straw and wood pellets were also combusted in the same BFB reactor under similar combustion conditions. Similarly, kaolin and bauxite, and silica sand were compared to ilmenite when used as an additive and alternative bed material, respectively. The inclusion of biomass in coal combustion showed marked differences in the temperature profiles, gas emissions, and combustion performance. The results showed that coal and SCG blends can be combusted for energy applications with improved combustion efficiency compared to wheat straw and wood commercial pellets. Nevertheless, high N content in SCG represents a challenge in terms of NOx emissions that should be addressed.