Trabajos Fin del Máster - Curso 2014-15 (mctc)

Trabajos Fin del Máster - plan 2011

Normativa y documentación
Normativa de Proyectos Fin de Máster
Impreso de solicitud de Proyecto
Autorización para la defensa del Proyecto
Acta de la defensa del Proyecto
Carátula para las copias en formato electrónico
Instrucciones de uso de la carátula

Curso 2015-16

Asignación de Proyectos Fin de Máster

Fecha de publicación de títulos y tutores para Proyectos Fin de Máster: 7 de marzo de 2016

Fecha límite para la solicitud de Proyecto: 21 de marzo de 2016

Oferta de Proyectos Fin de Máster

Título	Tutor
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Asignación de Proyectos Fin de Máster

Título	Estudiante
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Curso 2013-14 - Lista de Proyectos

Representación de los estilos de conducción mediante lógica difusa y aplicaciones geoespaciales en un vehículo eléctrico.

FICHA

Autor: CORDERO ZAMBRANO, JORGE MARCOS

Tutor: JOSÉ EUGENIO NARANJO HERNÁNDEZ

Resumen: One of the main sources of pollution is from hazardous emissions from cars. The high content of pollutants in the atmosphere is a serious problem nowadays. The aim of this study is to represent the behavior of some drivers according to driving styles (ecological, normal, and aggressive) through the fuzzy logic and geospatial applications in order to evaluate the energetic efficiency of an electric vehicle. The fuzzy logic theory was used for representing the driving styles that characterizes drivers. At the beginning it was identified the variables that affect the energy consume of an electric car, to be used as input data for the classifier. After, the collected data from the driving tests were displaying in a map by means of a geospatial application. Finally, there are presenting the results from the driving tests in real highways. Therefore it is concluded that the fuel consumption and the emissions generate by an electric vehicle could reach a reduction of 20%, by modifying the driving style.

Soft Computing. Teoría y Aplicaciones.

FICHA

Autor: DÍAZ ÁLVAREZ, ALBERTO

Tutor: FRANCISCO SERRADILLA GARCÍA

Resumen: Soft Computing is a branch of Artificial Intelligence field. It studies the sub symbolic representation of knowledge, namely, the simulation of known low level elements of intelligent behaviors. These behaviors are hoping to arise spontaneously. Besides, Soft Computing uses a set of ever evolving techniques for problem solving. The assumption that ambiguity, uncertainty and/or complexity are an inherent part of the problem and they must be taken into account. Unlike other processes, they are modelled reducing the problem to a minimum, discarding any imperfections. The existing literature about Soft Computing is vast, even overwhelming for the novice in the field, such as students interested in the subject. Moreover, the set of existing tools, both academic and professional are not widespread. In addition, they are too generic and require a high knowledge about the subject for operation. The present work aims to provide an introduction to Soft Computing. It fosters a platform for those who intend to learn more about its techniques. Furthermore, it provides an implementation base for using both, the academic and the professional world.

Propuesta de simulador del vehículo eléctrico Mitsubishi i-MiEV.

FICHA

Autor: GARRIDO CARPIO, FERNANDO JOSÉ

Tutores:
NORBERTO CAÑAS DE PAZ
JOSÉ EUGENIO NARANJO HERNÁNDEZ

Resumen: The aim of this final master project is to obtain an approximate dynamic model of the Mitsubishi i-MiEV electric vehicle. In addition, the architecture and main components of a simulator will be given based on the above model. This simulator will offer in a continuous fashion the coordinates and guidance of the vehicle, depending on the position of throttle and steering wheel during the simulation interval.

Estudio de vulnerabilidades SQL de bases de datos relacionales que podrían reflejarse en bases de datos NoSql.

FICHA

Autor: GUAMÁN BASTIDAS, FRANCO OLIVIO

Tutores:
PEDRO PABLO ALARCÓN CAVERO
ROMMEL VICENTE TORRES TANDAZO

Resumen: This research was aimed at collecting and analyzing information about the securityvulnerabilities of SQL Injection on relational databases and their replication capabilities on. NoSQL databases, taking as a reference the MongoDB. In this context, the most commonSQL injection attacks, the logic employed and some practical examples were analyzed.Additionally, the way in which these attacks can be replicated or not in NoSQL databaseswas also examined. Finally, the similarities and the equivalence in SQL language of the statements written inunderstandable formats for non-relational databases were comparatively analyzed.

Captura y almacenamiento de tramas para la aplicación de algoritmos de machine learning sobre DATASET BIG DATA (ONTICAP).

FICHA

Autor: MARTÍNEZ BRAVO DE MEDINA, ÁLEX

Tutores:
B. ALBERTO MOZO VELASCO
SANDRA GÓMEZ CANAVAL

Resumen: Internet is a huge information highway with thousands of users concurrently accessing and transferring information. In addition, even more users and devices join this highway every day. The rules that used to take control over the Internet’s network traffic are deprecated or are about to be deprecated. If today there are millions of devices connected to Internet, in the next years, even more devices, from new smart phones to appliances, will have Internet connection to increase the number of “users” on Internet (taking users as real humans and machines). Because of that, traffic is characterization is an extremely complex procedure. There are tons of information to supervise and no time to do it. Characterization is very useful in order to manage network traffic depending on what is transmitted or what is the most common type of traffic along the supervised network. With network traffic characterization is possible to classify that traffic and act depending on the situation and the information found. Characterization is divided in three main phases: • Capture • Aggregation and preprocessing • Analytics and characterization We need new techniques and systems to guarantee characterization in the future. Networks are designed and ready for the present Internet characteristics, but the new needs requires new tools and methodology to deal with this situation. This project is related to phase 1 (capture). In order to develop such tools and methodologies, this project’s contribution provides an easy way to capture and store traffic from any network in order to analyze it. In this case, the dataset obtained from the capture will have Big Data specifications because the information captured comes from an ISP that guarantees an average of 320,000 frames per second and approximately 1TB of information per day. That captured network traffic can be characterized in order to develop new algorithms to improve the Internet in areas like: QoS (Quality of Service), information security and congestion control. This project provides an efficient and fault tolerant application that can be used to generate the mentioned dataset using any kind of hardware capable to connect to the Internet, from high--end servers to commodity hardware like PCs. The capture and storage management is completely transparent for the user and does not require any special training in order to use it. This tool can be installed and deployed in any network with minimum maintenance as it is fully automated. The only consideration is that from time to time new storage is needed in order to continue the capture. In addition this application is highly configurable and versatile in order to adapt it to the user’s needs. This software is currently used in real IPSs (Internet Service Providers) as a part of the research project FP7 ONTIC [WEB01] (Online Network Traffic Characterization) in order to cover the first of characterization’s phases. ONTIC Project is focused in capture, characterization and analysis of network traffic.

Structure, Contents and Importance of the Software Engineering Body of Knowledge.

FICHA

Autor: QUEZADA SARMIENTO, PABLO

Tutor: JUAN GARBAJOSA SOPEÑA

Resumen: The first requirement for any area of engineering to qualify as a profession is that it corresponds to an organized Body of Knowledge. The Body of Knowledge (Bok) describes relevant knowledge for a discipline, and will need show the consensus in the Knowledge Areas (KA) and related disciplines. The development of this consensus is a prerequisite to the adoption of coherent skills development in the academic area and continuing professional education programs both in public and private organizations. Systematic mapping studies are performed to evaluate quantity and types of primary studies in an area of interest in an unbiased and systematic manner. Systematic mapping studies will be used as the research method within this master thesis. The research method proposed will allow to sort and classify the information referent to the topics of this research in order to reply the proposed research questions. This master thesis is an attempt to analyze existing proposals on Bok contents and structure, and make a proposal what the kind of contents it should have, and how it should be structured so that this consensus among all parties can be described and best achieved. In the same way the relevance and useful of the Body of Knowledge for the discipline of software engineering for the different stakeholders is analyzed. Finally, this master thesis shows the conclusions and future work.

Calidad de datos en contextos de LINKED DATA.

FICHA

Autor: RAMÍREZ CORONEL, RAMIRO LEONARDO

Tutores:
PEDRO PABLO ALARCÓN CAVERO
ROMMEL VICENTE TORRES TANDAZO

Resumen: Hoy en día es una necesidad mantener los datos debidamente enlazados y estructurados en internet de las formas que puedan ser encontrados y posicionados en la red no solo por las personas sino también por los ordenadores. Es por ello la importancia de concepto de datos enlazados (Linked Data), como una manera eficiente para cumplir estos cometidos. Linked Data vincula varias tecnologías como HTTP, URI, OWD, RDF que hacen más fácil la manera de compartir y entender la información a través de ordenadores, formando a través de ellos una estructura global que abarca cada vez más conocimiento en todo el mundo. De ahí la importancia de que los datos estén correctamente estructurados semánticamente y brinden la confianza y la integridad para que puedan ser consumidos o enlazados por terceros. En el estudio de esta tesis de master se analizará las estrategias de encapsulamiento y almacenamiento de la información, especialmente se tratará los archivos RDF para mejorar la calidad de la información.

Revisión sistemática de placas de desarrollo que compitan con la plataforma GALILEO de INTEL e implementación de un sensor de ultrasonido

FICHA

Autor: ROUILLON VINTIMILLA, RODRIGO ANDRES

Tutores:
JOSÉ EUGENIO NARANJO HERNÁNDEZ
FRANCISCO SERRADILLA

Resumen: El presente proyecto es una revisión sistemática de las placas de desarrollo similar a la plataforma Intel galileo, siendo el último producto lanzado por Intel en esta categoría. Intel se alía con Arduino que es un líder que facilita un SKD simple y poderoso, dando una herramienta de desarrollo ideal para la interacción con sensores e interfaces. La interacción del conjunto permite censar el medio ambiente, procesarlo y en posterior interactuar con él. En la revisión se recopila las cualidades que tiene cada una de las plataformas y para que aéreas son más óptimas y cuáles son sus principales atractivos. Este documento está pensado para el uso de estudiantes, diseñadores, ingenieros, hobbistas que estén interesados en hacer experimentos con distintos shields, placas de expansión o sensores. Tomando en cuenta que es lo que desean realizar y optando por la placa que pueda ajustase más a su proyecto.

Análisis de la problemática asociada con la baja calidad de datos en los sistemas de información.

FICHA

Autor: SOTO GUERRERO, FERNANDA MARICELA

Tutores:
PEDRO PABLO ALARCÓN CAVERO
ROMMEL VICENTE TORRES TANDAZO

Resumen: The primary agent in society is constantly changing, so that companies can succeed or stay active, and a component to enhance to achieve is knowledge management. The data, information and knowledge systems consist of useful information to facilitate the achievement of competitive advantage where they are deployed. Based on that knowledge, the highest level in the hierarchy is the acquisition of meaning or analysis of information necessary for decision making, that information is an organized set of data or interpretation of the data to produce meaning on a given phenomenon and the data are made, values or symbols found isolated single or crude way. Looking at each hierarchical level of this structure, the lower level is considered the raw material, therefore it is essential that the base of this pyramid is optimal and quality so that the knowledge gained is correct and the decisions the right ones. This project aims to study the origin of the low quality of data with which we usually identify the problems about the low quality and define attributes to help compensate for this. To validate the proposed conceptual framework for both data quality to data quality attributes for one of the information systems of Universidad Tecnica Particula de Loja will be analyzed.

Módulo de comunicación entre vehículos DSRC.

FICHA

Autor: TALAVERA MUÑOZ, EDGAR

Tutor: JOSÉ EUGENIO NARANJO HERNÁNDEZ

Resumen: This project is based on the line of research that began with the final project “Sistema de comunicacion entre vehiculos con geoposicionamiento”. This project explains the detailed operation of the communication between vehicles through Zigbee modules. The main objective of this project is to apply the knowledge gained during the research to improve the sending information between vehicles building a DRSC module. The modules incorporate the necessary software to collect GPS data, the CAN bus and the data received from other modules for storage and forwarding if they meet the requirements of the communication algorithm. Also the DSRC modules is ready to be accessible and configurable, being able to send by TCP/IP information collected in real time. Communication algorithms implemented follow the standards ETSI TS 102 636-4-1.

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Trabajos Fin del Máster - Curso 2014-15 (mctc)

Máster Ciencias y Tecns. Computación