Ponencias

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http://hdl.handle.net/20.500.14454/1637

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    Actividades transversales entre materias de primer curso de grado y trabajo en equipo para aumentar la motivación del alumno
    (Universidad de Zaragoza, Servicio de Publicaciones, 2021) Fonseca Escudero, David ; Necchi, Silvia; Aláez, Marian ; Romero Yesa, Susana; Centeno Hernández, Efraim
    Motivar al alumno de primer curso de grado, no solo mejora su grado de satisfacción y su rendimiento, sino que puede prevenir el riesgo de abandono temprano de los estudios. En este sentido, para potenciar la motivación se antoja como estrategia importante trabajar las competencias específicas desde un abordaje transversal, menos específico y que permita al alumno vislumbrar las potencialidades de sus estudios y de sus relaciones entre iguales. El presente artículo muestra el resultado de dos actividades transversales realizadas en el primer curso del grado de Estudios en Arquitectura, donde el trabajo en equipo es esencial para su entrega. Los resultados han permitido identificar tanto fortalezas como debilidades de cada práctica gracias a su enfoque mixto (cuantitativo / cualitativo), lo que permitirá un rediseño de las actividades para el siguiente curso.
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    Adaptability and efficiency in population management: a multi-population CMA-ES strategy for high-dimensional optimization
    (Elsevier B.V., 2024) Morales Castañeda, Bernardo; Rodríguez Esparza, Erick; Oliva, Diego; Navarro, Mario A.; Aranguren, Itzel; Casas Ordaz, Ángel; Beltran, Luis A.; Zapotecas Martínez, Saúl
    In the context of evolutionary algorithms, having the ability to adapt to any search space within an optimization problem is an essential task. Appropriately adapting the population can lead to better solutions and more efficient use of function call resources. This article presents a renewed approach to population management inspired by modifying the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The proposed strategy aims to improve the algorithm's population adaptability to the search space and optimize function evaluations. Statistically evaluated experimental test outcomes demonstrate significantly better performance on high-dimensional problems in comparison to the original CMA-ES and seven other known evolutionary algorithms in the literature.
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    Analytical fractional reduced-order model identification method for processes with overdamped and underdamped response
    (Elsevier B.V., 2024) Gude, Juan José; Baraldi, Flavia B.; Oleagordia Ruiz, Ibon; García Bringas, Pablo
    In this paper, an analytical procedure to identify a fractional-first order plus dead time (FFOPDT) model is presented. This procedure is applied to processes with overdamped or underdamped step response, i.e., fractional order values in the range 0.5 ≤ α ≤ 2.0 can be estimated. The required process information is obtained through a simple open-loop step experiment and is based on fitting three arbitrary points (x1-x2-x3%) on the process reaction curve. Some numerical examples are proposed to show the effectiveness and applicability of this procedure for the identification of fractional-order models. The main feature of this approach is that it estimates the FFOPDT model of overdamped and underdamped processes.
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    Architecture for WSN nodes integration in context aware systems using semantic messages
    (Springer, 2010) Larizgoitia, Iker; Muguira Urtubi, Leire; Vazquez, Juan-Ignacio
    Wireless sensor networks (WSN) are becoming extremely popular in the development of context aware systems. TraditionallyWSN have been focused on capturing data, which was later analyzed and interpreted in a server with more computational power. In this kind of scenario the problem of representing the sensor information needs to be addressed. Every node in the network might have different sensors attached; therefore their correspondent packet structures will be different. The server has to be aware of the meaning of every single structure and data in order to be able to interpret them.Multiple sensors, multiple nodes, multiple packet structures (and not following a standard format) is neither scalable nor interoperable. Context aware systems have solved this problem with the use of semantic technologies. They provide a common framework to achieve a standard definition of any domain. Nevertheless, these representations are computationally expensive, so a WSN cannot afford them. The work presented in this paper tries to bridge the gap between the sensor information and its semantic representation, by defining a simple architecture that enables the definition of this information natively in a semantic way, achieving the integration of the semantic information in the network packets. This will have several benefits, the most important being the possibility of promoting every WSN node to a real semantic information source. © 2010 ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
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    Berri corpus manager: a corpus analysis tool using MongoDB technology
    (IOS Press BV, 2020-09-15) Sanjurjo González, Hugo
    Nowadays, there are many options for corpus linguistic analysis that make use of different approaches for corpus storage. There are tools based on SQL databases, dedicated implementations such as CQP/CWB and others that employ plain-text corpora. NoSQL databases have been widely used for big data, data mining and even sentiment analysis. However, as far as we can see, there is a lack of a widespread concordancer or consolidated framework that makes use of MongoDB architecture for the purposes of corpus linguistics. This paper aims to describe the architecture of a software that allows users to analyse monolingual and bilingual parallel corpora with grammatical annotation using MongoDB technology. Our premises are that MongoDB is ideal for non-structured data and provides high flexibility and scalability, so it may be also useful for corpus linguistic research. We analyse functionalities of MongoDB such as text search indexes and query format in order to examine its suitability.
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    Collaborative Robots in e-waste management
    (Elsevier B.V., 2017) Álvarez de los Mozos, Esther; Rentería Bilbao, Arantxa
    Nowadays manufacturing companies are going through an increasing public and government pressure to reduce the environmental impact of their operations. But when dealing with e-waste, some difficulties arise in classifying and dismantling electronic devices. Manual operations are financially prohibitive and full automation is also discarded due to the lack of uniformity of the disposed devices. A halfway solution is to let a human operator and a robot share the process. The goal of this research is the optimization of the recycling process of electronic equipments, applying both technical and economic criteria, and taking into account the latest developments in collaborative robots.
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    Connections between a tourist destination, the digital ecosystem, and ICT actors
    (Springer Nature, 2024) Alzua Sorzabal, Aurkene; Herasimovich, Volha; Guereño-Omil, Basagaitz; Thiel-Ellul, Daniela
    The tourism sector and tourist destinations are undergoing a digital transition in order to improve their resilience and competitiveness. The way in which tourist destinations address this digital transition differs, as some incorporate more technology in their ecosystem than others, giving rise to the emergence of different types of digital tourism networks. This study seeks to determine the different ways in which a tourist destination connects with a digital ecosystem, specifically focusing on the connections with ICT actors. It is based on the theoretical framework of tourism as an ecosystem. Using web crawling, network data have been compiled on 670 tourism actors and more than 36,000 websites to which they are connected through hyperlinks. The most frequently linked entities of the discovered digital ecosystem have been identified and classified (n = 447), distinguishing between 13 types of ICT actors. The results show how the online destination network has been incorporated into the digital ecosystem. The study reveals that the configuration of the digital ecosystem surrounding a tourist destination is characterised by the different levels of importance for the network of destination actors in which the ICT actors play a central role.
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    Cross-generational perceptions on climate change: resolutive insights from youth and elder
    (Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Quesada Granja, Carlos; Casado Mansilla, Diego; Cubillo Eguizabal, Iker; Aguayo Mendoza, Armando; Borges Hernández, Cruz E.
    In a world increasingly dominated by conversations about climate change, this research delves deeper, exploring the disconnect between widespread awareness and the implementation of concrete actions to mitigate global warming and adapt to the energy transition. The study investigates this gap by focusing on the concerns of two distinct demographic groups: teenagers and adults. Conceived during the Zientzia Azoka event and developed through other events and sessions, the project actively engaged over 131 participants in a series of workshops. These participants spanned various age groups: 16 individuals under the age of 18, 110 adults between 18 and 65 years old, and 5 adults over 65 years old. The workshops employed qualitative methods, presenting participants with a range of potential climate crisis scenarios encompassing environmental challenges, energy shortages, and mobility restrictions. These scenarios explored situations such as insufficient renewable energy development leading to electricity shortages, extreme weather events causing food scarcity, and disruptions to travel due to fuel shortages. Participants’ responses to these scenarios were then subjected to a process of semi-quantification, enabling a more nuanced analysis of their concerns. The analysis revealed not only a clear awareness of these impending challenges among both teenagers and adults, but also a recognition of the substantial barriers hindering proactive solutions. These barriers encompassed economic constraints, a perceived lack of general awareness about the gravity of the situation, and the ever-evolving social landscape shaped by recent global events like the COVID-19 pandemic and the war in Ukraine. However, amidst these anxieties, a glimmer of hope emerged. Participants identified a potential shift in societal behavior, possibly driven by these very crises. Thematic analysis of their responses revealed a strong emphasis on the crucial role of sufficiency in mitigating climate change. This highlights the importance of reducing consumption and waste rather than solely relying on technological advancements as the solution. Additionally, peer influence was recognized as a significant force in shaping attitudes and behaviors, suggesting a powerful avenue for promoting positive change. The political dimension of climate action also came into sharp focus. Participants demonstrated a sophisticated understanding of the complexities surrounding political processes and the challenges they present. They emphasized the need for clear and effective communication from political leaders, while acknowledging concerns about political motivations and the influence of special interest groups. This underscores the intricate relationship between politics, media, and public perception, highlighting the need for a multi-faceted approach to climate communication.
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    A data-driven model for the analysis of energy consumption in buildings
    (EDP Sciences, 2024-05-07) Borgato, Nicola; Prataviera, Enrico; Bordignon, Sara; Garay Martínez, Roberto; Zarrella, Angelo
    Data-driven models are gaining traction in Building Energy Simulation, driven by the increasing role of smart metering and control in buildings. This paper aims to enhance the knowledge in this sector by introducing a practical method to analyse heating consumption. The methodology involves the analysis of hourly total heating demand and outdoor temperature measurements to create and calibrate Energy Signature Curves. Importantly, the building Energy Signature Curve is calibrated independently for each daily hour, resulting in a subset of 24 data-driven models. After calibration, a disaggregation algorithm is proposed to distinguish space heating from domestic hot water usage. The method also evaluates the building's thermal inertia, examining the correlation between the hourly global energy consumption and the outdoor air temperature moving average. It also presents a methodology for improving the DHW heat consumption model. The methodology is applied to a case study of 51 buildings in Tartu, Estonia, with complete yearly demand measurements from the district heating operator. Thanks to the hourly calibration approach, R2 is 0.05 higher on average than the yearly Energy Signature Curve approach. The difference between estimated and measured annual energy consumption is 8% on average, demonstrating the practicality and effectiveness of the proposed method.
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    Design of monitoring tool for decision making in buildings with solar energy generation
    (Elsevier B.V., 2024) García Quintanilla, José Ignacio; Macarulla, Ana María; Sainz Bedoya, Nekane Ione; Canivell Castillo, Verónica
    The work presented in this article is part of a project that focuses on the field of energy and sustainability and is aligned with the objectives of sustainable development, specifically goal seven, affordable and clean energy, and goal eleven, sustainable cities and communities. The photovoltaic solar installation for self-consumption at the Deusto University's residence hall been modelled using generation data, consumption data, meteorological data, and installation components. Although the actual installation features an anti-feeding system, the model allows to evaluate potential energy surpluses. To achieve this objective, it has been necessary to collect, transform, and thoroughly clean the data from the solar inverters, as well as store them for later representation. To process, visualize, and analyse data, the web application developed allows users to understand quickly and easily the patterns and trends related to energy consumption through various graphics, providing a clear and accessible visual presentation of the data that helps them make decisions to optimize energy consumption. In addition, an application has been developed that allows to assess whether or not removing the anti-feeding system and modifying the contract with the distribution company may be favourable.
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    Elaboración de un portafolio electrónico para el desarrollo docente a través de una Unidad Didáctica Virtual
    (Universidad de Zaragoza, Servicio de Publicaciones, 2021) Romero Yesa, Susana; Aláez, Marian; García Olalla, Ana María; Segú Odriozola, Mabel
    La docencia de calidad es una preocupación fundamental en las universidades. La evaluación acreditativa del profesorado a través de las agencias de calidad responde a esa inquietud. En la Universidad de Deusto, esta acreditación se estructura en tres niveles: la acreditación de la planificación de la docencia, la acreditación de su puesta en práctica y la revisión y mejora desde un enfoque de colegialidad. En esta comunicación nos centramos en la segunda. El profesorado se debe presentar a una evaluación acreditativa mediante la preparación de un portafolio docente. La Unidad de Innovación Docente ofrece talleres en los que los coordinadores de los centros acompañan a los profesores en su elaboración. Además de esta formación presencial, el profesorado necesita contar con documentación de apoyo accesible y actualizada. Para dar respuesta a esta necesidad, se ha elaborado en la plataforma institucional tipo Moodle, mediante un proyecto de innovación docente, una Unidad Didáctica Virtual (UDV) de apoyo a la formación presencial. En ella se ha elaborado una plantilla y se han incluido recursos como presentaciones, vídeos, foros y ejemplos de las evidencias a presentar. Los resultados han sido muy satisfactorios en relación con el cumplimiento de los objetivos establecidos e indicadores de impacto.
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    Elementos epistémicos para un debate postconvencional en Trabajo Social
    (Tirant lo Blanch, 2019) Sobremonte de Mendicuti, Emma; Rodríguez Berrio, Arantxa
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    Energy consumption monitoring in DED-LB for enhancing the process sustainability
    (Elsevier B.V., 2024) Urresti, Aizpea; Arrizubieta, Jon Iñaki; Loroño, Agathe; Ukar Arrien, Olatz
    Energy efficiency is a highly relevant aspect in modern manufacturing processes, not only for economic reasons, but also because of the environmental impact it generates. With the aim of contributing to a more efficient and environmentally friendly manufacturing process, this research analyses the energy consumption of the Laser Directed Energy Deposition (DED-LB). First, the energy efficiency of the laser generator is characterized. In a second step, the deposition process is evaluated, which enables to categorize the process according to the amount of energy required per gram of material deposited, and the mass-deposition efficiency. For this purpose, a 3-level design of experiment (DOE) is performed in order to study the effect of the laser power, mass rate, and machine feed rate on the process efficiency. Besides, a metallographic study is also performed to ensure the metallurgical quality. Energy and material saving of 35% are obtained without influencing the clad quality.