Ponencias

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https://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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    Adulterio, honor y divorcio: las criadas de los territorios históricos vascos en el siglo XVIII
    (Fundación Española de Historia Moderna, 2023) Intxaustegi Jauregi, Nere Jone
    El objetivo de esta comunicación es el estudio de la criada en un ámbito muy concreto: los procesos de divorcio. Por una parte, se tendrá en cuenta el papel quelas criadas jugaron como testigos en los procesos de divorcio que llevaron a cabo los señores de la casa en la que llevaban a cabo sus labores del hogar. Y, por otra parte, también se verán casos en los que las propias criadas fueron las protagonistas de los divorcios, después de que los esposos hubieran solicitado el fin de la convivencia marital. Así, estos casos nos permitirán ver los lazos de unión que existían en la comunidad, qué podía romperlos, y cuáles podían ser las consecuencias. Todo ello estaba estrechamente relacionado con los ideales de honor y adulterio de aquella época. Para eso, se utilizarán diversos ejemplos de divorcio que tuvieron lugar en el siglo XVIII en los territorios de Álava, Guipúzcoa y Vizcaya, y que se encuentran en los archivos de los obispados de Calahorra y Pamplona.
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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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    Detailed study of tube hot rolling process by means of FEM
    (Association of American Publishers, 2023) García Gil, Eduardo ; Llamazares Duran, Gorka; Conde Fernández, Aintzane; Murillo Marrodán, Alberto; Barco Atutxa, Jon
    In this paper seamless tubes hot manufacturing calibration rolling is studied by means of a finite element model, to improve product quality and process performance. Based on real data provided by an industrial partner, Tubos Reunidos Group, a finite element model of the process has been created and validated for the thermo-mechanical analysis of the process. The model has been used for the study of the wall thickness evolution and peripherical distribution during process, the eccentricity and the polygonization effects. Results show that the tube velocity in the process is one of the factors affecting wall thickness eccentricity, due to mass flow conservation. Regarding polygonization and eccentricity effect it has been found that both effects increase in the rolling stands with higher reduction ratio, and are corrected afterwards. These effects are mainly due to the ovality of the rolls. However, the effect the different sliding velocity along roll perimeter has implications in the local deformation of the material in contact with the roll, causing local compressive stress areas in addition to the predominant tension areas.
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    Digital twin development for the sensitivity analysis of near solidus forming process
    (Association of American Publishers, 2023-04-19) Sajjad, Muhammad; Plata Redondo, Gorka ; Lozares Abasolo, Jokin; Mendiguren Olaeta, Joseba
    Near Solidus Forming (NSF) process, performed at semi-solid material state is gaining popularity due to its good physical properties, low manufacturing cost and material waste. Although the process possesses many advantages over traditional hot forging, the nature of the process itself is very complex and due to this the researcher struggles to identify the material behavior at NSF conditions. Especially the material model in this condition has not been stated clearly before and therefore it is important to develop a reliable digital twin (DT) strategy which can validate the material model efficiently. Therefore, the objective of this work is to investigate the influence of all DT parameters like billet material and dimensions, billet and dies temperature, heat transfer coefficient, emissivity, ambient temperature, and friction coefficient, in two industrial components such as H spindle and R spindle. The Taguchi Design of Experiments (DOE) approach combined with numerical simulation in FORGE NxT® is employed to develop the sensitivity analysis of the process. The impact of all parameters in the DT are evaluated in terms of die filling and forming forces, and its importance in the material model is studied. Results show that the newly developed approach proposed a novel optimum NSF-DT calibration strategy for material-model validation. Which can be used to develop an accurate model of the NSF process at the laboratory and industrial scale.
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