35 resultados para Game Engine

em Universidad Politécnica de Madrid


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Con este proyecto se ha desarrollado una guía introductoria a uno de los aspectos más complejos y especializados de Blender, que es el control de su motor de videojuegos mediante programas escritos en Python. Está orientado a lectores que tienen un conocimiento amplio sobre el manejo de Blender, su interfaz y el funcionamiento de sus diferentes elementos, así como una mínima experiencia en cuanto a programación. Se ha organizado en una parte descriptiva, centrada en el lenguaje Python y en las bases de su uso para programar el motor de videojuegos (Game Engine) de Blender, y otra de práctica guiada, que constituye la mayoría del proyecto, donde se estudian de manera progresiva ejemplos concretos de uso del mismo. En la parte descriptiva se ha tratado tanto el funcionamiento más básico del lenguaje Python, especialmente las características que difieren de otros lenguajes de programación tradicionales, como su relación con Blender en particular, explicando las diferentes partes de la API de Blender para Python, y las posibles estrategias de uso. La parte práctica guiada, dado que esta interacción entre Blender y Python ofrece un rango de posibilidades muy amplio, se ha centrado en tres áreas concretas que han sido investigadas en profundidad: el control del objeto protagonista, de la cámara y la implementación de un mapa de orientación. Todas ellas se han centrado en torno a un ejemplo común, que consiste en un videojuego muy básico, y que, gracias a los ficheros de Blender que acompañan a esta memoria, sirve para apoyar las explicaciones y poder probar su efecto directamente. Por una parte, estos tres aspectos prácticos se han explicado exhaustivamente, y se han llevado hasta un nivel relativamente alto. Asimismo se han intentado minimizar las dependencias, tanto entre ellos como con la escena que se ha usado como ejemplo, de manera que sea sencillo usar los programas generados en otras aplicaciones. Por otra, la mayoría de los problemas que ha sido necesario resolver durante el desarrollo no son específicos de ninguna de las tres áreas, sino que son de carácter general, por lo que sus explicaciones podrán usarse al afrontar otras situaciones. ABSTRACT. This Thesis consists of an introductory guide to one of the most complex and specific parts of Blender, which is the control of its game engine by means of programs coded in Python. The dissertation is orientated towards readers who have a good knowledge of Blender, its interface and how its different systems work, as well as basic programming skills. The document is composed of two main sections, the first one containing a description of Python’s basics and its usage within Blender, and the second consisting of three practical examples of interaction between them, guided and explained step by step. On the first section, the fundamentals of Python have been covered in the first place, focusing on the characteristics that distinguish it from other programming languages. Then, Blender’s API for Python has also been introduced, explaining its different parts and the ways it can be used in. Since the interaction between Blender and Python offers a wide range of possibilities, the practical section has been centered on three particular areas. Each one of the following sections has been deeply covered: how to control the main character object, how to control the camera, and how to implement and control a mini-map. Furthermore, a demonstrative videogame has been generated for the reader to be able to directly test the effect of what is explained in each section. On the one hand, these three practical topics have been thoroughly explained, starting from the basis and gradually taking them to a relatively advanced level. The dependences among them, or between them and the demonstrative videogame, have been minimised so that the scripts or ideas can be easily used within other applications. On the other hand, most of the problems that have been addressed are not exclusively related to these areas, but will most likely appear in different situations, thus enlarging the field in which this Thesis can be used.

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Este proyecto consiste en crear una serie de tres pequeños videojuegos incluidos en una sola aplicación, para plataformas móviles Android, que permitan en cualquier lugar entrenar la estética de la voz del paciente con problemas de fonación. Dependiendo de los aspectos de la voz (sonidos sonoros y sordos, el pitch y la intensidad) a trabajar se le asignará un ejercicio u otro. En primer lugar se introduce el concepto de rehabilitación de la voz y en qué casos es necesario. Seguidamente se realiza un trabajo de búsqueda en el que se identifican las distintas plataformas de desarrollo de videojuegos que son compatibles con los sistemas Android, así como para la captura de audio y las librerías de procesado de señal. A continuación se eligen las herramientas que presentan las mejores capacidades y con las que se va a trabajar. Estas son el motor de juego Andengine, para la parte gráfica, el entorno Java específico de Android, para la captura de muestras de audio y la librería JTransforms que realiza transformadas de Fourier permitiendo procesar el audio para la detección de pitch. Al desarrollar y ensamblar los distintos bloques se prioriza el funcionamiento en tiempo real de la aplicación. Las líneas de mejora y conclusiones se comentan en el último capítulo del trabajo así como el manual de usuario para mayor comprensión. ABSTRACT. The main aim of this project is to create an application for mobile devices which includes three small speech therapy videogames for the Android OS. These videogames allow patients to train certain voice parameters (such as voice and unvoiced sounds, pitch and intensity) wherever they want and need to. First, an overview of the concept of voice rehabilitation and its uses for patients with speech disorders is given. Secondly a study has been made to identify the most suitable video game engine for the Android OS, the best possible way to capture audio from the device and the audio processing library which will combine with the latter. Therefore, the chosen tools are exposed. Andengine has been selected regarding the game engine, Android’s Java framework for audio capture and the fast Fourier transform library, JTransforms, for pitch detection. Real time processing is vital for the proper functioning of the application. Lines of improvement and other conclusions are discussed in the last part of this dissertation paper.

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Historically, teachers have always searched for a connection with their students to make education interesting and a vital experience. In the 19th century, pedagogue Johann Heinrich Pestalozzi taught children how to sum using wood blocks. His successors have followed his legacy and today they use a wide variety of media, including board games, in order to reach out to their students. These methods are denominated educational technologies, which are defined as the study and ethical practice of facilitating learning and improving performance by creating, using, and managing appropriate technological processes and resources. With the advent of the information technologies, teachers have at their disposal new media with which they can increase the interest of their students. This technologic revolution is changing the present educational model. The objective of this dissertation is to develop an educational videogame in order to help students learn mathematics. To reach this goal, the videogame has been developed with the game engine Unity as the main tool. Additionally, agile software development methodologies as well as other software engineering techniques have also been used. The result is Riskmatica, an educational videogame based on geographical domination in which knowledge is the best weapon. The players must conquer enemy teritories answering correctly a mathecatical question. Moreover the videogame has the functionality required to configure a new game and input new questions. To conclude, this project has created an educational technology which greatly appeals to students and that can be used by the educators to improve their lessons in mathematics.---RESUMEN---A lo largo de la historia, los educadores siempre han buscado conectar con los alumnos para poder captar su interés y hacer que la educación se convierta en una experiencia vital. El pedagogo Johann Heinrich Pestalozzi conseguía esto en el siglo XIX, enseñando a niños a contar con bloques de madera. Sus sucesores han seguido su legado y hoy en día utilizan variedad de medios con los que motivar a sus alumnos, en algunos casos los juegos de mesa. Estos métodos son denominados tecnologías educativas, que se definen como los estudios y prácticas éticas que facilitan y mejoran la enseñanza, mediante la creación, el uso y el empleo de procesos y recursos tecnológicos. Con el advenimiento de las tecnologías de la información, los educadores tienen a su disposición un nuevo medio con el que llegar al alumnado. Esta revolución tecnológica está cambiando el modelo educativo actual. El objetivo de este proyecto es el de crear un videojuego educativo que ayude a los alumnos a estudiar matemáticas. Para lograrlo se ha utilizado el popular motor de videojuego Unity como herramienta principal. También se han empleado metodologías ágiles de desarrollo además de otras técnicas de ingeniería del software. El resultado es Riskmática, un videojuego educativo de dominación geográfica en el que el arma más eficaz es el conocimiento. Los jugadores deberán conquistar territorios a sus adversarios mediante la respuesta de preguntas de carácter matemático. Además el videojuego cuenta con la funcionalidad necesaria para configurar una partida e introducir nuevas preguntas. Como conlusión, este proyecto ha logrado crear una tecnología educativa muy atractiva para los alumnos con la que los profesores pueden mejorar la enseñanza de las matemáticas.

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Desde su aparición en los años 50, los videojuegos han estado muy presentes en la vida de los jóvenes. Un mercado que nunca se ha mantenido estático, donde la revolución científica vivida en el siglo XX ha colaborado en su gran evolución. Empezando por un juego implementado en una máquina de rayos catódicos, pasando por las recreativas, hasta meterse en los hogares de cualquier familia con los PC y videoconsolas. Contando además con una calidad gráfica que hace difícil diferenciar hoy en día entre realidad y mundo virtual. Pero no sólo los videojuegos están concebidos para el ocio y desconectar de la realidad. Existe un concepto llamado “gamification”, una técnica que busca el transmitir conocimientos, ayudar a personas con discapacidades, facilitar las rehabilitaciones, etc… transformando actividades que puedan parecer aburridas, en algo divertido. Aquí es donde entran los juegos serios, juegos que buscan tales objetivos. Dado que los videojuegos hoy en día están muy metidos en la sociedad, y cada vez llegan a más público de distintas edades y género. Hemos elegido este proyecto para fomentar la creación de videojuegos serios, a través de un tutorial completo con el motor gráfico Unity, intentando usar el mayor número de herramientas posible. ABSTRACT. From the beginning in the 1950s, video games have played an important role in young people’s life. A market that has never been static, where scientific revolution lived in the twentieth century has contributed to a great evolution. Starting from a game implemented on a cathode ray machine, reaching arcade rooms and then getting into families with PCs and consoles. Nowadays the graphic quality makes difficult to differentiate between reality and the virtual world. Not only video games are designed for leisure and to disconnect from the real world for a while. There is a concept called “gamification”, a technique which tends to transmit knowledge, give help to people with disabilities, facilitate rehab, etc. Transforming activities, which might seem boring into fun ones. This is where serious games take place, games looking for the goals mentioned. Since nowadays video games are completely set in our society, and increasing a wider public with different ages and gender, this project has been chosen to promote the creation of serious video games, through a complete tutorial with the game engine - Unity - attempting to use as many tools as it can be possible.

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as tecnologías emergentes como el cloud computing y los dispositivos móviles están creando una oportunidad sin precedentes para mejorar el sistema educativo, permitiendo tanto a los educadores personalizar y mejorar la experiencia de aprendizaje, como facilitar a los estudiantes que adquieran conocimientos sin importar dónde estén. Por otra parte, a través de técnicas de gamificacion será posible promover y motivar a los estudiantes a que aprendan materias arduas haciendo que la experiencia sea más motivadora. Los juegos móviles pueden ser el camino correcto para dar soporte a esta experiencia de aprendizaje mejorada. Este proyecto integra el diseño y desarrollo de una arquitectura en la nube altamente escalable y con alto rendimiento, así como el propio cliente de iOS, para dar soporte a una nueva version de Temporis, un juego móvil multijugador orientado a reordenar eventos históricos en una línea temporal (e.j. historia, arte, deportes, entretenimiento y literatura). Temporis actualmente está disponible en Google Play. Esta memoria describe el desarrollo de la nueva versión de Temporis (Temporis v.2.0) proporcionando detalles acerca de la mejora y adaptación basados en el Temporis original. En particular se describe el nuevo backend hecho en Go sobre Google App Engine creado para soportar miles de usuarios, asó como otras características por ejemplo como conseguir enviar noticaciones push desde la propia plataforma. Por último, el cliente de iOS en Temporis v.2.0 se ha desarrollado utilizando las últimas y más relevantes tecnologías, prestando especial atención a Swift (el lenguaje de programación nuevo de Apple, que es seguro y rápido), el Paradigma Funcional Reactivo (que ayuda a construir aplicaciones altamente interactivas además de a minimizar errores) y la arquitectura VIPER (una arquitectura que sigue los principios SOLID, se centra en la separación de asuntos y favorece la reutilización de código en otras plataformas). ABSTRACT Emerging technologies such as cloud computing and mobile devices are creating an unprecedented opportunity for enhancing the educational system, letting both educators customize and improve the learning experience, and students acquire knowledge regardless of where they are. Moreover, through gamification techniques it would be possible to encourage and motivate students to learn arduous subjects by making the experience more motivating. Mobile games can be a perfect vehicle to support this enhanced learning experience. This project integrates the design and development of a highly scalable and performant cloud architecture, as well as the iOS client that uses it, in order to provide support to a new version of Temporis, a mobile multiplayer game focused on ordering time-based (e.g. history, art, sports, entertainment and literature) in a timeline that currently is available on Google Play. This work describes the development of the new Temporis version (Temporis v.2.0), providing details about improvements and details on the adaptation of the original Temporis. In particular, the new Google App Engine backend is described, which was created to support thousand of users developed in Go language are provided, in addition to other features like how to achieve push notications in this platform. Finally, the mobile iOS client developed using the latest and more relevant technologies is explained paying special attention to Swift (Apple's new programming language, that is safe and fast), the Functional Reactive Paradigm (that helps building highly interactive apps while minimizing bugs) and the VIPER architecture (a SOLID architecture that enforces separation of concerns and makes it easy to reuse code for other platforms).

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Some requirements for engineering programmes, such as an ability to use the techniques, skills and modern engineering tools necessary for engineering practice, as well as an understanding of professional and ethical responsibility or an ability to communicate effectively, need new activities designed for measuring students’ progress. Negotiations take place continuously at any stage of a project and, so, the ability of engineers and managers to effectively carry out a negotiation is crucial for the success or failure of projects and businesses. Since it involves communication between individuals motivated to come together in an agreement for mutual benefit, it can be used to enhance these personal abilities. The main objective of this study was to evaluate the adequacy of mixing playing sessions and theory to maximise the students’ strategic vision in combination with negotiating skills. Results show that the combination of playing with theoretical training teaches students to strategise through analysis and discussion of alternatives. The outcome is then more optimised.

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The runtime management of the infrastructure providing service-based systems is a complex task, up to the point where manual operation struggles to be cost effective. As the functionality is provided by a set of dynamically composed distributed services, in order to achieve a management objective multiple operations have to be applied over the distributed elements of the managed infrastructure. Moreover, the manager must cope with the highly heterogeneous characteristics and management interfaces of the runtime resources. With this in mind, this paper proposes to support the configuration and deployment of services with an automated closed control loop. The automation is enabled by the definition of a generic information model, which captures all the information relevant to the management of the services with the same abstractions, describing the runtime elements, service dependencies, and business objectives. On top of that, a technique based on satisfiability is described which automatically diagnoses the state of the managed environment and obtains the required changes for correcting it (e.g., installation, service binding, update, or configuration). The results from a set of case studies extracted from the banking domain are provided to validate the feasibility of this proposa

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In recent years, applications in domains such as telecommunications, network security or large scale sensor networks showed the limits of the traditional store-then-process paradigm. In this context, Stream Processing Engines emerged as a candidate solution for all these applications demanding for high processing capacity with low processing latency guarantees. With Stream Processing Engines, data streams are not persisted but rather processed on the fly, producing results continuously. Current Stream Processing Engines, either centralized or distributed, do not scale with the input load due to single-node bottlenecks. Moreover, they are based on static configurations that lead to either under or over-provisioning. This Ph.D. thesis discusses StreamCloud, an elastic paralleldistributed stream processing engine that enables for processing of large data stream volumes. Stream- Cloud minimizes the distribution and parallelization overhead introducing novel techniques that split queries into parallel subqueries and allocate them to independent sets of nodes. Moreover, Stream- Cloud elastic and dynamic load balancing protocols enable for effective adjustment of resources depending on the incoming load. Together with the parallelization and elasticity techniques, Stream- Cloud defines a novel fault tolerance protocol that introduces minimal overhead while providing fast recovery. StreamCloud has been fully implemented and evaluated using several real word applications such as fraud detection applications or network analysis applications. The evaluation, conducted using a cluster with more than 300 cores, demonstrates the large scalability, the elasticity and fault tolerance effectiveness of StreamCloud. Resumen En los útimos años, aplicaciones en dominios tales como telecomunicaciones, seguridad de redes y redes de sensores de gran escala se han encontrado con múltiples limitaciones en el paradigma tradicional de bases de datos. En este contexto, los sistemas de procesamiento de flujos de datos han emergido como solución a estas aplicaciones que demandan una alta capacidad de procesamiento con una baja latencia. En los sistemas de procesamiento de flujos de datos, los datos no se persisten y luego se procesan, en su lugar los datos son procesados al vuelo en memoria produciendo resultados de forma continua. Los actuales sistemas de procesamiento de flujos de datos, tanto los centralizados, como los distribuidos, no escalan respecto a la carga de entrada del sistema debido a un cuello de botella producido por la concentración de flujos de datos completos en nodos individuales. Por otra parte, éstos están basados en configuraciones estáticas lo que conducen a un sobre o bajo aprovisionamiento. Esta tesis doctoral presenta StreamCloud, un sistema elástico paralelo-distribuido para el procesamiento de flujos de datos que es capaz de procesar grandes volúmenes de datos. StreamCloud minimiza el coste de distribución y paralelización por medio de una técnica novedosa la cual particiona las queries en subqueries paralelas repartiéndolas en subconjuntos de nodos independientes. Ademas, Stream- Cloud posee protocolos de elasticidad y equilibrado de carga que permiten una optimización de los recursos dependiendo de la carga del sistema. Unidos a los protocolos de paralelización y elasticidad, StreamCloud define un protocolo de tolerancia a fallos que introduce un coste mínimo mientras que proporciona una rápida recuperación. StreamCloud ha sido implementado y evaluado mediante varias aplicaciones del mundo real tales como aplicaciones de detección de fraude o aplicaciones de análisis del tráfico de red. La evaluación ha sido realizada en un cluster con más de 300 núcleos, demostrando la alta escalabilidad y la efectividad tanto de la elasticidad, como de la tolerancia a fallos de StreamCloud.

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Abstract This work is focused on the problem of performing multi‐robot patrolling for infrastructure security applications in order to protect a known environment at critical facilities. Thus, given a set of robots and a set of points of interest, the patrolling task consists of constantly visiting these points at irregular time intervals for security purposes. Current existing solutions for these types of applications are predictable and inflexible. Moreover, most of the previous centralized and deterministic solutions and only few efforts have been made to integrate dynamic methods. Therefore, the development of new dynamic and decentralized collaborative approaches in order to solve the aforementioned problem by implementing learning models from Game Theory. The model selected in this work that includes belief‐based and reinforcement models as special cases is called Experience‐Weighted Attraction. The problem has been defined using concepts of Graph Theory to represent the environment in order to work with such Game Theory techniques. Finally, the proposed methods have been evaluated experimentally by using a patrolling simulator. The results obtained have been compared with previous available

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Background: There are 600,000 new malaria cases daily worldwide. The gold standard for estimating the parasite burden and the corresponding severity of the disease consists in manually counting the number of parasites in blood smears through a microscope, a process that can take more than 20 minutes of an expert microscopist’s time. Objective: This research tests the feasibility of a crowdsourced approach to malaria image analysis. In particular, we investigated whether anonymous volunteers with no prior experience would be able to count malaria parasites in digitized images of thick blood smears by playing a Web-based game. Methods: The experimental system consisted of a Web-based game where online volunteers were tasked with detecting parasites in digitized blood sample images coupled with a decision algorithm that combined the analyses from several players to produce an improved collective detection outcome. Data were collected through the MalariaSpot website. Random images of thick blood films containing Plasmodium falciparum at medium to low parasitemias, acquired by conventional optical microscopy, were presented to players. In the game, players had to find and tag as many parasites as possible in 1 minute. In the event that players found all the parasites present in the image, they were presented with a new image. In order to combine the choices of different players into a single crowd decision, we implemented an image processing pipeline and a quorum algorithm that judged a parasite tagged when a group of players agreed on its position. Results: Over 1 month, anonymous players from 95 countries played more than 12,000 games and generated a database of more than 270,000 clicks on the test images. Results revealed that combining 22 games from nonexpert players achieved a parasite counting accuracy higher than 99%. This performance could be obtained also by combining 13 games from players trained for 1 minute. Exhaustive computations measured the parasite counting accuracy for all players as a function of the number of games considered and the experience of the players. In addition, we propose a mathematical equation that accurately models the collective parasite counting performance. Conclusions: This research validates the online gaming approach for crowdsourced counting of malaria parasites in images of thick blood films. The findings support the conclusion that nonexperts are able to rapidly learn how to identify the typical features of malaria parasites in digitized thick blood samples and that combining the analyses of several users provides similar parasite counting accuracy rates as those of expert microscopists. This experiment illustrates the potential of the crowdsourced gaming approach for performing routine malaria parasite quantification, and more generally for solving biomedical image analysis problems, with future potential for telediagnosis related to global health challenges.

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The numerical analysis of certain safety related problems presents serious difficulties, since the large number of components present leads to huge finite elementmodels that can only be solved by using large and expensive computers or by making rough approaches to the problem. Tangling, or clashing, in the turbine of a jet engine airplane is an example of such problems. This is caused by the crash and friction between rotor and stator blades in the turbine after an eventual shaft failure. When facing the study of an event through numerical modelling, the accurate simulation of this problem would require the engineer to model all the rotor and stator blades existing in the turbine stage, using a small element size in all pieces. Given that the number of stator and rotor blades is usually around 200, such simulations would require millions of elements. This work presents a new numerical methodology, specifically developed for the accurate modelling of the tangling problem that, depending on the turbine configuration, is able to reduce the number of nodes up to an order of magnitude without losing accuracy. The methodology, which benefits from the cyclic configuration of turbines, is successfully applied to the numerical analysis of a hypothetical tangling event in a turbine, providing valuable data such as the rotating velocity decrease of the turbine, the braking torque and the damage suffered by the blades. The methodology is somewhat general and can be applied to any problem in which damage caused by the interaction between a rotating and static piece is to be analysed.

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We present ARGoS, a novel open source multi-robot simulator. The main design focus of ARGoS is the real-time simulation of large heterogeneous swarms of robots. Existing robot simulators obtain scalability by imposing limitations on their extensibility and on the accuracy of the robot models. By contrast, in ARGoS we pursue a deeply modular approach that allows the user both to easily add custom features and to allocate computational resources where needed by the experiment. A unique feature of ARGoS is the possibility to use multiple physics engines of different types and to assign them to different parts of the environment. Robots can migrate from one engine to another transparently. This feature enables entirely novel classes of optimizations to improve scalability and paves the way for a new approach to parallelism in robotics simulation. Results show that ARGoS can simulate about 10,000 simple wheeled robots 40% faster than real-time.

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A novel algorithm based on bimatrix game theory has been developed to improve the accuracy and reliability of a speaker diarization system. This algorithm fuses the output data of two open-source speaker diarization programs, LIUM and SHoUT, taking advantage of the best properties of each one. The performance of this new system has been tested by means of audio streams from several movies. From preliminary results on fragments of five movies, improvements of 63% in false alarms and missed speech mistakes have been achieved with respect to LIUM and SHoUT systems working alone. Moreover, we also improve in a 20% the number of recognized speakers, getting close to the real number of speakers in the audio stream

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Este Proyecto Fin de Carrera (PFC) tiene como objetivos el análisis, diseño e implementación de un sistema web que permita a los usuarios familiarizarse con el Índice de Desarrollo Humano (IDH), publicado anualmente por Naciones Unidas, ofreciendo un servicio de gestión y descarga de una aplicación móvil relacionada con dicho índice. La aplicación móvil es un juego educativo basado en preguntas sobre el IDH de los países, desarrollada en paralelo con este proyecto. El servicio web implementado en este proyecto facilita tanto la descarga, administración y actualización de contenidos como la interacción entre los usuarios. El sistema está formado por un servidor web, una base de datos de usuarios y contenidos y un portal web desde el cual puede descargarse la aplicación móvil, realizar consultas sobre estadísticas de juego y conocer el IDH sin necesidad de jugar. El buscador avanzado que ha sido desarrollado para conocer el IDH permite al usuario adquirir destrezas y entrenarse por sí solo para mejorar sus resultados de juego. Los administradores del sistema tienen la capacidad de gestionar el contenido del portal, los usuarios que solicitan darse de alta y la funcionalidad ofrecida, es decir, actualización del juego, foros y noticias. La instalación del sistema implementado en un servidor web ha permitido su verificación exitosa así como la provisión del servicio de información y sensibilización sobre el IDH, actualizado mediante la información de Naciones Unidas, motivación original del proyecto. ABSTRACT This Final Year Project takes as targets the analysis, design and implementation of a web system that allows to the users to familiarize with the Human Development Index (HDI), published annually by United Nations, offering a service of management and download a mobile application associated with that index. The mobile application is an educational game based on questions on the IDH of the countries, developed in parallel with this project. The web service implemented by means of this Project facilitates download, administration and update of contents and the interaction between the users across the cooperative game. The system consists of a web server, a database of users and content and a web portal from which you can download the mobile application, perform queries on game statistics, or discover the HDI without need for play. The advanced search engine that has been developed for the HDI allows the user to purchase and train for skills to improve their game results. System administrators have the ability to manage the content of the portal, users requesting register and the functionality offered, i.e., update to the game, forums and news. The installation of the system that was implemented has allowed successful verification and the provision of an information and awareness on the HDI, updated with the information from the United Nations, original motivation of the project.

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Addition of hydrogen to natural gas could be a short-term alternative to nowadays fossil fuels as the emissions of greenhouse gases may be reduced. The aim of this study is to evaluate the performance and emissions of a park ignition engine fuelled with pure natural gas, pure hydrogen and different blends of hydrogen and natural gas (HCNG). The increase of the hydrogen fraction leads to variations in the cylinder pressure and CO2 emissions. In this work, a combustion model based on thermodynamic equations is used considering separated zones for the burned and unburned gases. The results show that the maximum cylinder pressure gets higher as the fraction of hydrogen in the blend increases. The presence of hydrogen in the blend leads to a drecrease in the CO2 emissions. Due to hydrogen properties, leaner fuel-air mixtures can be used along with the appropiate spark timing, leading to an engine emissions improvement without a performance worsening.