Màster universitari en Enginyeria Informàtica

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Treballs de fi de màster universitari en Enginyeria Informàtica de l'Escola Politècnica Superior [Més informació del màster]

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    Open Access
    ACQUAOUNT: Combining the Web-Of-Things and Sensorthings standards to build an IoT platform for efficient water use in farms and river basins
    (2024-06) Aumedes Serrano, Joel
    The ACQUAOUNT Project is dedicated to creating innovative tools, services and solutions used to provide smart recommendations to farmers and basin managers on efficient use of water. This project describes the work done in Work Package 3 of the ACQUAOUNT Project, mainly focused on the design and implementation of the WoT platform, an IoT platform that combines two different IoT standards, Web-Of-Things (WoT) and SensorThings, so it can be used to expedite the storing and retrieving of data later used by irrigation water management models. These models are used to propose a more efficient use of the water in agricultural exploitations and hydrographical basins. This WoT Platform is to be developed and tested in 4 pilot zones of the south of Europe and north of Africa by the Mediterranean Sea: Sardinia, Jordan, Tunisia and Lebanon.
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    Open Access
    Machine Learning techniques for detection of contaminated seeds of wheat
    (2022-09) Câmara Pereira, Rafael
    Nowadays, we have a big amount of regulations regarding the limitations in the consumption of different substances that can harm our health, enabling us to have a healthier lifestyle. We are also living in an era of a big amount of technological advances, with the advent of the computer and many Data Science algorithms and applications. In many countries, the control of the said substances does not come only in the usage of illicit drugs, but also in toxic substances found in regular food that can harm the human and animal health. The technological advance has taken too many steps inside the production process, but in some aspects, the mankind still uses archaic methods to work. In this project, we aim to unite both the necessity of a regulation and the automation of a process in order to generate a raise in the quality of life to the maximum number of persons possible. Applying several Machine Learning techniques to data collected through spectral images of wheat grains, we aim to provide a better and faster selection of the seeds, improving the food quality, meeting the European Union’s regulation for the contamination levels of cereals by Deoxinivalenol. After the application of the techniques, the main focus was to compare its results taking into account the liability of the data, by its metrics, in order to provide a good option to escalate its usage in large production chains, producing healthier food in less time, with automated steps.
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    Open Access
    Analysis and migration to Scala of the BLAST Algorithm
    (2022-09) López Luna, Óscar
    Los objetivos de este proyecto, tal como se menciona en la introducción, consisten en el análisis y migración de una solución previamente realizada en Python y Cassandra, que actúa como base de datos para las cadenas de ADN, para obtener mayor integración, rendimiento y prestaciones. El objetivo principal será, como se ha comentado en el párrafo superior, la mejora de rendimiento y para ello se realizará una migración a Scala (lenguaje de programación funcional, pionero en el área de Big Data) y se comprobará este hecho llevando a cabo un análisis de la “performance” de ambas soluciones. El rendimiento se verá afectado debido a que la migración supondría poder aprovechar mejor la conexión con Cassandra, ya que nos permite un uso más preciso del conector [8] (estándar de acceso a las bases de datos). En otras palabras, accesos más rápidos debido a la reducción en el tiempo de conexión con la base de datos y sobretodo, en las consultas realizadas. Una vez realizados el análisis y la migración, se proseguirá con una explicación de los resultados en base a los tiempos obtenidos en ambos casos. En conclusión, la migración a Scala, debería aportar una mejora sustancial de rendimiento, prestaciones y productividad debido a que el conector tiene más afinidad con el nuevo lenguaje en el que estará implementado.
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    Open Access
    Administration and geolocation of puffers and other plant protection products
    (2022-06) Visa Pascual, Marc
    This project studies the existing puffers [13] administration system in a company in the agricultural sector with more than XX years of experience in pest control, and it proposes to implement a new easily scalable web application designed to facilitate the treatment and data profitability. The development of the new platform includes analysing the necessary functional requirements, designing the system taking into account scalability criteria and future extensions, implementation and evaluation of changes. The system consists of a NodeJS [1] backend and an Angular [2] frontend. The new system will be a substantial improvement over the previous solution, although not definitive, as it is ready to meet future extensions. With this new system, it is been increased the efficiency of the company service related to the use of that application and, consequently, projected towards new business goals in order to obtain better monetary returns from the generated data.
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    Open Access
    Data integration tool for transform existing data sources to homogeneous linked data
    (2022-06) Contreras Perez, Francesc
    The background of this project is related to the project BIGG (Building Information aGGrega- tion, harmonisation and analytics platform) launched in December 2020. It aims to demonstrate the application of big data technologies and data analytic techniques in the complete building life-cycle, in more than 4000 buildings in 6 large-scale pilots, 3 in Spain (Catalonia) and 3 in Greece. BIGG is firmly grounded in reality and will start from a set of 6 high-level business cases, spanning a broad range of use cases and distinct international settings. A bottom-up business- case based methodology will be followed to define a widely applicable reference architecture. Each case will be demonstrated through its real-life pilots, building on the common architecture and toolbox.