Caracterización y resistencia a la abrasión de aleaciones de magnesio con recubrimientos obtenidos a partir de líquidos iónicos

el principal objetivo de este proyecto será conseguir la formación de un recubrimiento sobre las aleaciones de magnesio MgAZ31B y MgEZ33A a partir de los líquidos iónicos LPM101, LMP102 y LEP102, mejorando las propiedades del metal base, con realización de ensayos de gota, inmersión y electroquímicos. El presente trabajo está formado de una parte teórica donde se explica al lector los conceptos previos y necesarios para facilitar la comprensión del estudio realizado, y una parte experimental, donde se describirán los experimentos realizados, analizando todo resultado mediante microscopía óptica y electrónica. Por último y sin adelantar ningún resultado, el lector podrá encontrar al finalizar la lectura de este proyecto una conclusión final con los resultados de dicha investigación.Escuela Técnica Superior de Ingeniería IndustrialUniversidad Politécnica de Cartagen

KNIT: Ontology reusability through knowledge graph exploration

Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting perspectives. These ontologies are usually published as OWL or OBO, and are often registered in open repositories, e.g., BioPortal. However, the task of finding the concepts (classes and their properties) defined in the existing ontologies and the relationships between these concepts across different ontologies – for example, for developing a new ontology aligned with the existing ones – requires a great deal of manual effort in searching through the public repositories for candidate ontologies and their entities. In this work, we develop a new tool, KNIT, to automatically explore open repositories to help users fetch the previously designed concepts using keywords. User-specified keywords are then used to retrieve matching names of classes or properties. KNIT then creates a draft knowledge graph populated with the concepts and relationships retrieved from the existing ontologies. Furthermore, following the process of ontology learning, our tool refines this first draft of an ontology. We present three BioPortal-specific use cases for our tool. These use cases outline the development of new knowledge graphs and ontologies in the sub-domains of biology: genes and diseases, virome and drugs.This work has been funded by grant PID2020-112540RB-C4121, AETHER-UMA (A smart data holistic approach for context-aware data analytics: semantics and context exploitation). Funding for open access charge: Universidad de Málaga / CBUA

Dual band circular polarization selector using asymmetric SRR mirrors

In this work we aim to design circularly polarized flat mirror/reflectarray to work at a dual frequency. The design approach uses a unit cell made by four assymetrical split-ring resonators with an opposite rotation plus an element size variation, a seen in Fig.1 Fig. 1. Proposed structure (unit cell). The SRRs are made on copper on a FR4 substrate. There is a metallic (copper) plane mirror behind the structure. The inner rings have a radius of 5.8 mm (1st and 3rd quadrant) and 5mm (2nd and 4th quadrant). The outer rings have a radius of 10.2mm and 10mm, respectively. As we may see in Fig.2, the proposed structure presents a dual-band circular polarization selection: in the band around 2.97 GHz it absorbs LHCP incident waves while reflecting LHCP incident waves, doing the opposite around 3.28 GHz Fig. 2. Reflection coefficient for a circularly polarized wave normally incident on a structure as shown in Fig.1. The superindexes +/- stand for right-handed/left-handed circular polarized waves

A Fine Grain Sentiment Analysis with Semantics in Tweets

Social networking is nowadays a major source of new information in the world. Microblogging sites like Twitter have millions of active users (320 million active users on Twitter on the 30th September 2015) who share their opinions in real time, generating huge amounts of data. These data are, in most cases, available to any network user. The opinions of Twitter users have become something that companies and other organisations study to see whether or not their users like the products or services they offer. One way to assess opinions on Twitter is classifying the sentiment of the tweets as positive or negative. However, this process is usually done at a coarse grain level and the tweets are classified as positive or negative. However, tweets can be partially positive and negative at the same time, referring to different entities. As a result, general approaches usually classify these tweets as “neutral”. In this paper, we propose a semantic analysis of tweets, using Natural Language Processing to classify the sentiment with regards to the entities mentioned in each tweet. We offer a combination of Big Data tools (under the Apache Hadoop framework) and sentiment analysis using RDF graphs supporting the study of the tweet’s lexicon. This work has been empirically validated using a sporting event, the 2014 Phillips 66 Big 12 Men’s Basketball Championship. The experimental results show a clear correlation between the predicted sentiments with specific events during the championship

Large Electromagnetic Activity Metamaterial Composed of Five-Segment Cranks

Producción CientíficaA new chiral material composed of a two-dimensional lattice of five-segment cranks, with the same handedness is experimentally and numerically studied. The sample, formed by a single layer of such structures, exhibits huge electromagnetic activity and a negative refraction index for linearly polarized waves. Both the chirality parameter and the bandwidth with the negative refraction index are larger than those observed in chiral media composed of three-segment cranks. The material also shows pronounced electromagnetic activity (larger than 500 per wavelength). This observed behaviour is attributed to the fact that the five-segment configuration enhances the electromagnetic coupling compared with the three-segment configuration.2020-01-012020-01-01Ministerio de Economía, Industria y Competitividad and the European Commission (ERDF)(Projects TEC2014-55463-C3-1- P and TEC2014-55463-C3-3-P

Identificación, evaluación y control de riesgos y plan de emergencia para el tanque estacionario de Glp de la Escuela de Gastronomia de la ESPOCH, aplicando la normativa Seveso y método Probit.

El presente trabajo de titulación se basa en identificar, evaluar y controlar los riesgos, además elaborar un plan de emergencia para el tanque estacionario de GLP de la Carrera de Gastronomía de la ESPOCH, en base al desarrollo de la normativa Seveso y el método Probit. Se evaluó la situación actual mediante la identificación y evaluación de los riesgos existentes aplicando la matriz de ánalisis y evaluación INSHT en la cual explosión e incendios son riesgos de accidentes mayores, se procede a la estimación del riesgo, mediante las consecuencias del daño, graduandole como extremadamente dañino y la probabilidad que ocurra el daño alta, esto resulta ser un riesgo intolerable. Se elaboró el método probit obteniendo los siguientes riesgos: muerte por lesiones pulmonares, rotura de timpano, daños estructurales menores, daños estructurales mayores, colapso de edificios y rotura de vidrios, una vez determinado el número probit se obtiene el porcentaje de afectación por el cambio súbito de presión o más conocido como la onda expansiva, se consideró las distancias desde 8 m, 12,5 m, 15 m, 30 m y hasta 135 m en el cual redujeron el porcentaje de afectación. Teniendo en cuenta el crecimiento poblacional aledaños a la ESPOCH, se debe considerar la reubicación del tanque GLP tomando en cuenta el análisis realizado, el cual se debe estimar un área libre de 135 m a la redonda. Por último se recomienda aplicar el presente plan de emergencia establecido, e incluir planes de capacitación y a la vez coordinar con el personal de la institución sobretodo de la Carrera de Gastronomía y el Cuerpo de Bomberos del cantón Riobamba; para la instrucción de la manera correcta de actuar frente a un accidente mayor.The present degree work is based on identifying, evaluating and controlling the risks, in addition to preparing an emergency plan for the stationary GLP tank of the ESPOCH Gastronomy Race, based on the development of the Seveso standard and the Probit method. The current situation was evaluated by identifying and assessing the existing risks by applying the INSHT analysis and evaluation matrix in which explosions and fires are major accident risks, the risk is estimated through the consequences of the damage, grading it as extremely harmful and the probability that high damage occurs, this turns out to be an intolerable risk. The probit method was developed, obtaining the following risks: death due to lung injuries, tympane rupture, minor structural damage, major structural damage, collapse of buildings and glass breakage. Once the probit number is determined, the percentage affected by the change is obtained. Sudden pressure or better known as the shock wave, we considered the distances from 8 m, 12.5 m, 15 m, 30 m and up to 135 m in which they reduced the percentage of affectation. Taking into account the population growth surrounding the ESPOCH, the relocation of the GLP tank should be considered taking into account the analysis carried out, which should estimate a free area of 135 m in all. Finally, it is recommended to apply the present emergency plan, and include training plans and at the same time coordinate with the staff of the institution, above all the Gastronomy Race and the Fire Department of the Riobamba canton; for the instruction of the correct way to act in the face of a major accident

Diode switchable chiral metamaterial structure for polarization manipulation

This communication presents a novel diode switchable chiral metamaterial structure that manipulates the polarization in different ways depending on the active bias lines. Three different bias states that provide three totally different behaviors have been considered: polarization rotator, circular polarization converter and linear to circular converter.This work has been partially supported by the Spanish Government MINECO through the ERDF co-funded Research Projects TEC2014-55463-C3-1-P, TEC2014-55463-C3-2-P and TEC2014-55463-C3-3-P

Injecting domain knowledge in multi-objective optimization problems: A semantic approach

In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, there is a lack of approaches where ontologies are ap-plied in a direct way into the optimization process, with the aim of enhancing it by allowing the systematic incorporation of additional domain knowledge. This is due to the high level of abstraction of ontologies, which makes them difficult to be mapped into the code implementing the problems and/or the specific operators of metaheuristics. In this paper, we present a strategy to inject domain knowledge (by reusing existing ontologies or creating a new one) into a problem implementation that will be optimized using a metaheu-ristic. Thus, this approach based on accepted ontologies enables building and exploiting complex computing systems in optimization problems. We describe a methodology to automatically induce user choices (taken from the ontology) into the problem implementations provided by the jMetal op-timization framework. With the aim of illustrating our proposal, we focus on the urban domain. Concretely, We start from defining an ontology repre-senting the domain semantics for a city (e.g., building, bridges, point of inte-rest, routes, etc.) that allows defining a-priori preferences by a decision ma-ker in a standard, reusable, and formal (logic-based) way. We validate our proposal with several instances of two use cases, consisting in bi-objective formulations of the Traveling Salesman Problem (TSP) and the Radio Net-work Design problem (RND), both in the context of an urban scenario. The results of the experiments conducted show how the semantic specification of domain constraints are effectively mapped into feasible solutions of the tackled TSP and RND scenarios. TUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech