Estudio de los esfuerzos que soporta un aerogenerador

Hoy en día ha cobrado una especial importancia en nuestras vidas la manera que tenemos de obtener energía, por ello una de las fuentes de energía renovable más utilizada es la energía eólica. Prácticamente cualquier ingeniero debe conocer en qué consiste este método y la infraestructura utilizada. Este trabajo consiste en analizar desde el punto de vista de la ingeniería, la infraestructura de un aerogenerador y su diseño óptimo. Elegir la mejor localización para instalarlo y analizar todas las fuerzas a las que debe hacer frente una estructura de estas características. Una torre eólica no es una estructura al uso comercial debido a su tamaño, por ello se debe analizar con métodos específicos los cuales han sido estudiados durante las asignaturas de este grado. También cobra especial importancia la interacción sólido-fluido.Nowadays, the way we obtain energy has reached special importance in our lives, so that one of the most widely used renewable energy sources today is wind energy. Almost any engineer should know what this method consists of, and the infrastructure used. This project consists of analyzing, from the point of view of engineering, the infrastructure of a wind turbine and optimizing its design. Choosing the best location to install it and analyzing all the forces that a structure with these characteristics must deal of. A wind tower is not a structure for commercial use due to its size, therefore it must be analyzed with specific methods which have been studied during the subjects of this degree. The solid-fluid interaction that exists between the tower and the wind takes special importance.Departamento de Construcciones Arquitectónicas, Ingeniería del Terreno y Mecánica de los Medios Continuos y Teoría de EstructurasGrado en Ingeniería en Tecnologías Industriale

Transition to convection in single bubble diffusive growth

We investigate the growth of gas bubbles in a water solution at rest with a supersaturation level that is generally associated with diffusive mass transfer. For CO2 bubbles, it has been previously observed that, after some time of growing in a diffusive regime, a density-driven convective flow enhances the mass transfer rate into the bubble. This is due to the lower density of the gas-depleted liquid which surrounds the bubble. In this work, we report on experiments with different supersaturation values, measuring the time t(conv) it takes for convection to dominate over the diffusion-driven growth. We demonstrate that by considering buoyancy and drag forces on the depleted liquid around the bubble, we can satisfactorily predict the transition time. In fact, our analysis shows that this onset does not only depend on the supersaturation, but also on the absolute pressure, which we corroborate in experiments. Subsequently, we study how the depletion caused by the growth of successive single bubbles influences the onset of convection. Finally, we study the convection onset around diffusively growing nitrogen N-2 bubbles. As N-2 is much less soluble in water, the growth takes much longer. However, after waiting long enough and consistent with our theory, convection still occurs as for any gas-liquid combination, provided that the density of the solution sufficiently changes with the gas concentration

State of the Art and System Overview

The promotion of changes in users’ behaviors with the aim of saving energy consumption in public buildings is a complex task that requires the use of multiple technologies. In this sense, context-aware technologies such as Wireless Sensor Networks and Real-Time Locating Systems, along with the use of Collaborative Learning, Virtual Organizations of Agents and Social Computing, provide a great potential for the development of serious games that foster the acquisition of good energy and healthy habits among workers and users in the public building. This paper presents the development of a serious game to change the users’ behaviors when using resources in public buildings using CAFCLA, a framework that allows the integration of multiple technologies that facilitate both context-awareness and social computing.info:eu-repo/semantics/publishedVersio

Detección de rostro y estimación de edad y género utilizando sistemas de visión portables de bajo coste

P. 21-46En este artículo presentamos una aplicación para detección de rostros y la estimación de su edad y género en un vídeo adquirido mediante una cámara conectada a un sistema SBC (en concreto, un modelo ODroid U3). Además, se ha probado el software con una base de datos de imágenes de rostros. La estimación de la edad se ha realizado con un error de 5.55–6.57 años en todos los grupos de edad evaluados. El reconocimiento del género varió dependiendo del grupo de edad: la tasa de aciertos fue alta (entre 70% y 82%), salvo en varones menores de 18 años y en mujeres mayores de 65, en consonancia con lo observado en (BenAbdelkader y Griffin, 2005).N

Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks

Wireless Sensor Networks (WSNs) represent a key technology for collecting important information from different sources in context-aware environments. Unfortunately, integrating devices from different architectures or wireless technologies into a single sensor network is not an easy task for designers and developers. In this sense, distributed architectures, such as service-oriented architectures and multi-agent systems, can facilitate the integration of heterogeneous sensor networks. In addition, the sensors’ capabilities can be expanded by means of intelligent agents that change their behavior dynamically. This paper presents the Hardware-Embedded Reactive Agents (HERA) platform. HERA is based on Services laYers over Light PHysical devices (SYLPH), a distributed platform which integrates a service-oriented approach into heterogeneous WSNs. As SYLPH, HERA can be executed over multiple devices independently of their wireless technology, their architecture or the programming language they use. However, HERA goes one step ahead of SYLPH and adds reactive agents to the platform and also a reasoning mechanism that provides HERA Agents with Case-Based Planning features that allow solving problems considering past experiences. Unlike other approaches, HERA allows developing applications where reactive agents are directly embedded into heterogeneous wireless sensor nodes with reduced computational resources

Predictive modeling of poor outcome in severe COVID-19: A single-center observational study based on clinical, cytokine and laboratory profiles

Producción CientíficaPneumonia is the main cause of hospital admission in COVID-19 patients. We aimed to perform an extensive characterization of clinical, laboratory, and cytokine profiles in order to identify poor outcomes in COVID-19 patients. Methods: A prospective and consecutive study involving 108 COVID-19 patients was conducted between March and April 2020 at Hospital Clínico Universitario de Valladolid (Spain). Plasma samples from each patient were collected after emergency room admission. Forty-five serum cytokines were measured in duplicate, and clinical data were analyzed using SPPS version 25.0. Results: A multivariate predictive model showed high hepatocyte growth factor (HGF) plasma levels as the only cytokine related to intubation or death risk at hospital admission (OR = 7.38, 95%CI—(1.28–42.4), p = 0.025). There were no comorbidities included in the model except for the ABO blood group, in which the O blood group was associated with a 14-fold lower risk of a poor outcome. Other clinical variables were also included in the predictive model. The predictive model was internally validated by the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.94, a sensitivity of 91.7% and a specificity of 95%. The use of a bootstrapping method confirmed these results. Conclusions: A simple, robust, and quick predictive model, based on the ABO blood group, four common laboratory values, and one specific cytokine (HGF), could be used in order to predict poor outcomes in COVID-19 patients.Instituto de Salud Carlos III - ( Proyecto COV20/00491)Consejeria de Educación de Castilla y León - (Proyecto VA256P20)Junta de Castilla y León y Fondo Europeo de Desarrollo Regional (FEDER) - (Proyecto EDU/1100/2017

Reliability of a novel electro-medical device for wheal size measurement in allergy skin testing: An exploratory clinical trial

Skin prick testing (SPT) is the cornerstone of IgE-mediated allergy diagnosis,1 due to its high sensitivity and specificity.2 However, a uniform method for wheal measurement does not exist. Ansotegui et al.2 recommends to measure wheals in millimeters with a ruler, in many centers they are outlined with a pen and transfer by tape to a paper and then measured. Subsequently, the specialist is able to manually measure the maximum (MD) and orthogonal diameter (OD) of the wheal. This procedure is time consuming and makes repro-ducible measurements difficult.2,3 Knowing the wheal's area could help make a more accurate diagnosis.4 Over the last 30 years, many attempts have been made to develop a device to measure the size of SPT.3 Nexkin DSPT® (Figure S1A,B) is a novel mechatronic system based on 3D laser technology, that automatically locates allergen's wheal and measures its size (MD, OD and area in square millimeters) (Figure S1C)

Can the Cytokine Profile According to ABO Blood Groups Be Related to Worse Outcome in COVID-19 Patients? Yes, They Can

Producción CientíficaSevere status of coronavirus disease 2019 (COVID-19) is extremely associated to cytokine release. Moreover, it has been suggested that blood group is also associated with the prevalence and severity of this disease. However, the relationship between the cytokine profile and blood group remains unclear in COVID-19 patients. In this sense, we prospectively recruited 108 COVID-19 patients between March and April 2020 and divided according to ABO blood group. For the analysis of 45 cytokines, plasma samples were collected in the time of admission to hospital ward or intensive care unit and at the sixth day after hospital admission. The results show that there was a risk of more than two times lower of mechanical ventilation or death in patients with blood group O (log rank: p = 0.042). At first time, all statistically significant cytokine levels, except from hepatocyte growth factor, were higher in O blood group patients meanwhile the second time showed a significant drop, between 20% and 40%. In contrast, A/B/AB group presented a maintenance of cytokine levels during time. Hepatocyte growth factor showed a significant association with intubation or mortality risk in non-O blood group patients (OR: 4.229, 95% CI (2.064–8.665), p < 0.001) and also was the only one bad prognosis biomarker in O blood group patients (OR: 8.852, 95% CI (1.540–50.878), p = 0.015). Therefore, higher cytokine levels in O blood group are associated with a better outcome than A/B/AB group in COVID-19 patients.Instituto de Salud Carlos III (grant COV20/00491)Junta de Castilla y León (grant 18IGOF