Thermoelectric simulation of electric machines with permanent magnets

The objective of this work is to describe some numerical tools developed to perform the thermoelectric simulation of electric machines. From the electromagnetic point of view, we will focus on the computation of nonlinear 2D transient magnetic fields where the data concerning the electric current sources involve potential drops excitations. From the thermal point of view, once the electromagnetic losses are known, we will show an application of a Galerkin lumped parameter method (GLPM) to simulate the thermal behavior of an electric motor. The proposed methods are applied to the simulation of a permanent magnet synchronous electric motor

Chaotic Waveguide-Based Resonators for Microlasers

We propose the construction of highly directional emission microlasers using two-dimensional high-index semiconductor waveguides as {\it open} resonators. The prototype waveguide is formed by two collinear leads connected to a cavity of certain shape. The proposed lasing mechanism requires that the shape of the cavity yield mixed chaotic ray dynamics so as to have the appropiate (phase space) resonance islands. These islands allow, via Heisenberg's uncertainty principle, the appearance of quasi bound states (QBS) which, in turn, propitiate the lasing mechanism. The energy values of the QBS are found through the solution of the Helmholtz equation. We use classical ray dynamics to predict the direction and intensity of the lasing produced by such open resonators for typical values of the index of refraction.Comment: 5 pages, 5 figure

Trabajo de Fin de Máster

El presente Trabajo de Fin de Máster tiene como finalidad mostrar las competencias que he desarrollado durante el Máster de Profesorado de Educación Secundaria Obligatoria, Bachillerato, Formación Profesional y Enseñanzas de Idiomas, Artísticas y Deportivas en la especialidad de Orientación Educativa

Pollutants emission and particle behavior in a pre-turbo aftertreatment light-duty diesel engine

Diesel particulate filters are a standard technology used in diesel engines in order to comply with actual and forthcoming regulations, regarding soot emissions and particulate matter in exhaust gases. In recent years, pre-turbo aftertreatment response has been investigated as opposed to the traditional aftertreatment location downstream from the turbine but just regarding engine performance. Previous studies do not deal in detail with gaseous and particle emission analysis in a pre-turbo aftertreatment configuration. This paper focuses on these topics. The gaseous and particle emissions have been assessed in a 4-cylinder, light-duty diesel EURO 4 engine typically used in European passenger car vehicles. Different steady-state operating points have been considered in order to extend the study over a wide range of operating conditions. Additionally, the New European Driving Cycle has been performed with the aim of reaching a comprehensive understanding of the aftertreatment dynamic response in terms of pollutant emissions. An increase in the amount of NO2 converted from NO and a reduction in emitted CO have been found at low load steady-state operating conditions with pre-turbo aftertreatment placement In driving cycle conditions, a shift from nucleation to accumulation mode particles have been found, being the filtration efficiency scarcely affected. (C) 2014 Elsevier Ltd. All rights reserved.This work has been partially supported by the Spanish Ministerio de Ciencia e Innovacion through grant number DPI2010-20891-C02-02. The authors would like to thank Jose Ramon Serrano for his help.Bermúdez, V.; Luján, JM.; Piqueras, P.; Campos, D. (2014). Pollutants emission and particle behavior in a pre-turbo aftertreatment light-duty diesel engine. Energy. 66:509-522. https://doi.org/10.1016/j.energy.2014.02.004S5095226

Influencia del tiempo de uso de las tecnologías de información y comunicación y subprogramas sobre las habilidades informacionales en estudiantes de la Universidad del Zulia

The purpose of this research was to determine the influence of the time of use of technologies of information and communication and related subprograms in the informational skills of students at the University of the Zulia. The research was developed under a descriptive, field based methodology, with a non-experimental design of the trans-sectional type. The population was made up of 95 students in the economic and social sciences program at the LUZ COL. Nucleus. The sample was obtained by means of the Shiffer formula and made up of a group of 52 students in the subprogram of accounting, 15 students of economy, and 18 students of administration. A random sampling stratified by subprograms was used. For the compilation of information 3 instruments were designed, the first one with 8 simple questions, the second one with 29 questions and a Lickert’s scale with four alternatives, and the third one was an observation sheet. The validation of the instrument was made by three experts in the area and there was no the need to realize a reliability test of the instrument provided that they were questionnaires. The analysis of the information was realized by the statistical program SPSS Version 10, in which tests were realized for the calculations of arithmetic averages and standard deviation, as well as analysis of variance, studies of homogeneity and Tukey comparison tests in order to determine the value of the variables in the study. The results obtained showed an influence of the time of use of TIC across the dimension of frequency of hours per week,and informational skills, specifically in the aspects of access and communication of information, and also they revealed that the subprograms do not influence these skills, where students in the program possess high use of these informational skills.El propósito de esta investigación fue determinar la influencia del tiempo de uso de las tecnologías de información y comunicación y subprogramas sobre las habilidades informacionales en estudiantes de la Universidad del Zulia. La investigación fue desarrollada bajo la metodología descriptiva, de campo, con un diseño no experimental del tipo transeccional descriptivo. La población estuvo conformada por 95 estudiantes del programa de ciencias económicas y sociales del núcleo COL de LUZ. La muestra se obtuvo mediante la fórmula de Shiffer constituyéndose por una muestra de 52 estudiantes del subprograma de contaduría, 15 de economía y 18 de administración. Se utilizó un muestreo aleatorio estratificado por subprogramas. Para la recolección de datos se diseñarón 3 instrumentos, dos cuestionarios y una hoja de observación con su respectiva validación a cargo de tres expertos. El análisis de los datos se realizó a través del programa estadístico SPSS Versión 10, en el cual se realizaron pruebas para los cálculos de media aritmética y desviación estándar, además del análisis de la varianza, estudios de Homogeneidad y pruebas de comparación de Tukey y robustas, con el fin de determinar el valor de las variables en el estudio. Los resultados obtenidos mostraron una influencia del tiempo en el uso de las TIC a través de su dimensión frecuencia de horas a la semana sobre las habilidades informacionales, específicamente en los aspectos de acceso y comunicación de la información, también revelaron que los subprogramas no influyen sobre estas destrezas, donde los estudiantes del programa poseen un uso Alto de las habilidades Informacionale

Intelligent Financial Fraud Detection Practices: An Investigation

Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the problem. Traditional methods of detection involve extensive use of auditing, where a trained individual manually observes reports or transactions in an attempt to discover fraudulent behaviour. This method is not only time consuming, expensive and inaccurate, but in the age of big data it is also impractical. Not surprisingly, financial institutions have turned to automated processes using statistical and computational methods. This paper presents a comprehensive investigation on financial fraud detection practices using such data mining methods, with a particular focus on computational intelligence-based techniques. Classification of the practices based on key aspects such as detection algorithm used, fraud type investigated, and success rate have been covered. Issues and challenges associated with the current practices and potential future direction of research have also been identified.Comment: Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm 2014

Thermo- and Fluid-Dynamic Processes in Direct Injection Engines. THIESEL2016 special issue

Payri, R.; Margot, X. (2017). Thermo- and Fluid-Dynamic Processes in Direct Injection Engines. THIESEL2016 special issue. International Journal of Engine Research. 18(1-2):3-5. doi:10.1177/1468087416680663S35181-