Examinar
Envíos recientes
Ítem Connections between a tourist destination, the digital ecosystem, and ICT actors(Springer Nature, 2024) Alzua Sorzabal, Aurkene; Herasimovich, Volha; Guereño-Omil, Basagaitz; Thiel-Ellul, DanielaThe 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.Ítem 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, AngeloData-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.Ítem 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.Ítem V2G-QUESTS integrating vehicle-to-grid technologies for equitable and sustainable transitions in positive energy districts(Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Macarulla, Ana María; García Quintanilla, José Ignacio; Borges Hernández, Cruz E.The Vehicle to Grid for Equitable Zero-Emission Transitions in positive energy districts (V2G-QUESTS) project is presented as a pioneering and crucial initiative in the context of a fair and equitable digital transition. In a world where technological development faces the challenge of mitigating environmental degradation caused by climate change, V2G-QUESTS stands out in preventing the unequal or harmful development of technologies such as Vehicle-to-Grid (V2G) in urban environments, particularly in socially disadvantaged communities, betting on social equity in the adoption of advanced technologies. The essence of V2G-QUESTS lies in its holistic approach that integrates social sciences to understand how technological innovations impact and are shaped by social, economic, and cultural structures. The project commits to ensuring that the transition to sustainable energy systems and mobility technologies is not only environmentally sustainable but also socially just and accessible to all strata of society. To discern the impact of the urban transition to this new technological model, an urban simulation environment based on Multi-Agent Systems will be developed, which will replicate social behavior at different degrees and case studies across the European territory. This approach allows an interdisciplinary analysis of the interactions and the impact of V2G technology in different social and technical spheres, enabling regional organizations and institutions to adapt to the future needs of their inhabitants. This task involves integrating into a multi-agent system a detailed model of the electrical energy system, as well as a model of daily transportation needs, a model of transportation mode selection that includes driving behavior and the interaction of drivers with V2G technologies, and a model of social impact on the various agents involved. Orchestrating all these models will allow capturing the complexity of the interactions between different agents, such as energy providers, electric vehicle users, and network operators to ensure that the simulations reflect realistic scenarios and provide valuable insights into how users can interact with the V2G system. To achieve these objectives, it is necessary to specify the main characteristics to be embodied in each scenario to be specified, considering the three urban dimensions; society, economy and technical infrastructure. The present study focuses its efforts on specifying these vital characteristics for the specification of the scenarios.Ítem El discurso del vencido por la vida: la percepción del envejecimiento y de la muerte en los Diarios de Rafael Chirbes(Fundación 26 de Diciembre, 2024) Soguero García, Francisco MiguelÍtem Trabajando conjuntamente: proyecto colaborativo entre asignaturas de inglés(Grupo de Comunicación Loyola, 2018) Gutiérrez Fernández, Nerea; Korres, OihaneÍtem A multi-parametric model for progression of metabolic dysfunction-associated steatohepatitis (MASH) in humans(IEEE, 2024) Baek, Jihye; Sanabria, Sergio; Oyarzabal, Ignacio; Echevarría Uraga, José Javier; Quesada Granja, Carlos; Dahl, Jeremy; Parker, Kevin J.Multiparametric analysis of quantitative ultrasound parameters was previously shown to improve assessment of metabolic dysfunction-associated fatty liver diseases (MAFLD). In this study, we aim to develop a multiparametric model for metabolic dysfunction-associated steatohepatitis (MASH), which contains more complex disease progression as an advanced version of MAFLD.We extracted quantitative ultrasound parameters, including H-scan frequency, Burr distribution λ and b, B-mode intensity, and shear wave speed (SWS). The parameters were categorized and displayed in multiparametric space. Support vector machine (SVM) was used to produce hyperplanes to differentiate MASH stages. Gaussian mixture model (GMM) was used to identify the centroids of the MASH stages. The centroids of MASH stages 0, 2, and 4 were then used to find early and late stage MASH progression vectors.To evaluate the multiparametric model, we performed an in vivo human study. 39 patients were enrolled and unterwent clinical tests, such as biopsy, blood biochemistry, metabolomics test (OWLiver), and ultrasound B-mode and shear wave elastography (SWE). A clinician confirmed MASH stages based on the clinical test results (M0: no disease; M1: steatosis; M2: steatohepatitis; M3: steatohepatitis with fibrosis; M4: steatohepatitis with cirrhosis).Complex disease progression was not well characterized by individual parameters, but the multiparametric model captured the trajectory of MASH progression. SVM classification resulted in 87.0% and 76.8% accuracy for training and testing, respectively. SVM and GMM produced a consistent trajectory in the multiparametric space. In conclusion, our multiparametric model was able to track nonlinear MASH progression trajectory accurately.Ítem El delito de enaltecimiento del terrorismo por medio de internet: ¿una respuesta penal proporcional a su capacidad lesiva?(Tirant lo Blanch, 2020) López Gorostidi, JonÍtem An environment adaptive ZigBee-based indoor positioning algorithm(IEEE, 2010) Larranaga, Janire; Muguira Urtubi, Leire; López Garde, Juan Manuel; Vazquez, Juan-IgnacioLately, there has been significant progress in the field of wireless communications and networking. Furthermore, the number of applications that require context information as the user's location will increase in the coming years. However, this issue still has not been solved indoors due to the RF (Radio Frequency) signals' behaviour in this kind of scenarios. In this paper, we present a robust, easy to deploy and flexible indoor localization system based on ZigBee Wireless Sensor Networks. It is important to mention that our localization system is based on RSSI (Received Signal Strength Indicator) level measurements since this information can be obtained directly from the messages exchanged between nodes, so no extra hardware is required. Our localization system consists of two phases: calibration and localization. Anytime a blind node needs to be located, our system performs calibration using a matrices system, so that the environment can be characterized, taking into account possible changes on it since the last request. Then, in the localization phase, the central server processes all the information and calculates the blind node's position with the new iterative algorithm we present. With this indoor positioning algorithm we can estimate the blind node's position with a good resolution (3 m average error), so we can say that this ZigBee localization algorithm provides very promising results.Ítem Architecture for WSN nodes integration in context aware systems using semantic messages(Springer, 2010) Larizgoitia, Iker; Muguira Urtubi, Leire; Vazquez, Juan-IgnacioWireless 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.Ítem Interacting with the digital world through RFID-powered gadgets(IEEE, 2009) Muguira Urtubi, Leire; Ruiz de Garibay Pascual, Jonathan; Vazquez, Juan-IgnacioThe Internet of Things is a field of the Future Internet that has a significant support from different institutions. Research has been done in this area for years and although it has progressed significantly, their goals remain the same: designing innovative Internet-connected experiences and augmenting existing objects' capabilities with Internet-related features. The scientific community has explored new ways and concepts, such as, service generation and consumption or user interaction. In this paper we present our work on creating RFID-based smart gadgets in order to take Internet experience to the next level, merging the on-line and the tangible worlds into a single continuous space.Ítem Internet browsing through RFID-powered gadgets(IOS Press, 2009) Muguira Urtubi, Leire; Ruiz de Garibay Pascual, Jonathan; Vazquez, Juan-IgnacioThe vision of the Internet of Things is challenging researchers from different fields with the common goal of designing innovative Internet-connected experiences or augmenting existing objects' capabilities with Internet-related features. During these first stages, researchers must explore new ways and concepts, and share the results with the scientific community. In this paper, we present our work on creating RFID-based smart gadgets in order to take Internet experience to the next level, merging the on-line and the tangible worlds into a single continuous space.Ítem RFIDGlove: a wearable RFID reader(IEEE, 2009) Muguira Urtubi, Leire; Vazquez, Juan-Ignacio; Arruti, Asier; Ruiz de Garibay Pascual, Jonathan; Mendia, Izaskun; Renteria, SilviaThere are different experiences in the use of RFID technology for warehouse inventories. However, there is future work to do on the design of advanced reading devices, applying wearable computation techniques and wireless communications. The aim of this work is to allow a natural interaction for the user who performs inventory tasks. In this paper we show the RFIDGlove system, which consists of a glove with an integrated RFID reader, an organic micro display and a communication system. The RFIDGlove system increases the efficiency of the activities in these areas, improving the user's experience and comfort while he/she uses the system. © 2009 IEEE.Ítem Elementos epistémicos para un debate postconvencional en Trabajo Social(Tirant lo Blanch, 2019) Sobremonte de Mendicuti, Emma; Rodríguez Berrio, ArantxaÍtem A model of non functional properties for grid resources(Springer, 2009) Buján Carballal, David; Corcho García, Óscar; Díaz Labrador, JosukaSo far, Grid information providers basically give functional values about resources, although some of them also provide aggregated information. Therefore, existing Grid information models essentially represent this syntactic information and also propose different taxonomies of resources. Hence, Grid information consumers commonly use functional properties to select resources in order to send jobs to a Grid. There are some approaches that try to use isolated techniques to take into consideration some QoS properties, like performance. In this paper, we propose a unified model for representing Grid resources and their non functional properties, adding semantics to Grid information systems. On one hand, this model is an ontology-based model developed to integrate existing approaches of Grid information models and non functional properties representations in general. But on the other hand, our model also proposes a measuring system - currently in development - for some non functional properties like reliability, availability and performance. Here we only present an overview about how to represent and measure reliability information of resources in Grids. This example is used to illustrate our work in progress.Ítem Spatial decision making for improvement of the resilience of the historic areas: SHELTER DSS(Springer Science and Business Media Deutschland GmbH, 2024) Villanueva Merino, Asel; López-de-Aguileta-Benito, Amaia; Izkara Martínez, José Luis; Egusquiza, AitziberOne of the challenges of Europe is how to adapt cultural heritage and historic areas to current climate change and natural disasters, these are causing irreversible losses on natural and historical heritage. The identification of the risk that heritage assets are suffering, and which are the best strategies or solutions to protect and conserve them is crucial. The article describes a decision support system that provides information in a GIS3D way, improving the analysis of the data and helps finding the best solutions for each heritage asset, working in an early-stage phase. The tool is divided in two components, on the one hand an interactive catalog of solutions, implementing multiple filters and multicriteria analysis methodology, making easier to find the solutions that better match each case. On the other hand, a risk assessment baseline visualization component that shows precalculated risk score for different hazards (Heat waves, wildfires, earthquakes, storms, flooding, and subsidence) in a table and in GIS 3D assets, and the same component allows the simulation of the impact of the solutions in the different capabilities of the assets. The tool allows saving the generated scenario for being loaded in the future. The components of the tool are flexible and can be used separately, accessing to visualization of solutions and their information, or making simulations.Ítem Discapacidad y guarda de hecho: la reforma del Código Civil derivada de la Convención internacional sobre los derechos de las personas con discapacidad(Tirant lo Blanch, 2020) Monje Balmaseda, ÓscarÍtem Consideraciones generales sobre la Mediación Civil y Mercantil, a próposito de la Ley 5/2012, de 6 de julio, de Mediación en Asuntos Civiles y Mercantiles(J.M. Bosch, 2014) Larena Beldarrain, JavierÍtem Berri corpus manager: a corpus analysis tool using MongoDB technology(IOS Press BV, 2020-09-15) Sanjurjo González, HugoNowadays, 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.Ítem New approaches in context modelling for tourism applications(Springer Berlin, 2012) Buján Carballal, David; Martín, David; Torices, Ortzi; Uriarte, AritzThe notion of context has been widely studied and there are several authors that have proposed different definitions of context. However, context has not been widely studied in the framework of human mobility and the notion of context has been directly imported from other computing fields without specifically addressing the tourism domain requirements. In order to store and manage context information a context data model is needed. Ontologies have been widely used in context modelling, but many of them are designed to be applied in general ubiquitous computing environments, do not contain specific concepts related to the tourism domain or some approaches do not contain enough concepts to represent context information related to the visitor or tourist on the move as we need in the TourExp project. That is why we propose a new approach to provide a better solution to model context data in tourism environments, adding more value to our solution reusing Open Data about tourist resources from Open Data Euskadi initiative and publishing it as Linked Data