Ponencias

URI permanente para esta colección

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

Examinar

Examinando Ponencias por Título

Mostrando 1 - 20 de 29
  • No hay miniatura disponible
    Ítem
  • No hay miniatura disponible
    Ítem
    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.
  • Miniatura
    Ítem
    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.
  • Miniatura
    Ítem
    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.
  • Miniatura
    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, 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.
  • No hay miniatura disponible
    Ítem
  • Miniatura
    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.
  • Miniatura
    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, 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.
  • No hay miniatura disponible
    Ítem
  • No hay miniatura disponible
    Ítem
  • Miniatura
    Ítem
  • No hay miniatura disponible
    Ítem
    Elementos epistémicos para un debate postconvencional en Trabajo Social
    (Tirant lo Blanch, 2019) Sobremonte de Mendicuti, Emma; Rodríguez Berrio, Arantxa
  • No hay miniatura disponible
    Ítem
    An environment adaptive ZigBee-based indoor positioning algorithm
    (IEEE, 2010) Larranaga, Janire; Muguira Urtubi, Leire; López Garde, Juan Manuel; Vazquez, Juan-Ignacio
    Lately, 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.
  • No hay miniatura disponible
    Ítem
    A generic matching algorithm for semantic discovery
    (IEEE, 2007) Aguilera, Unai; Abaitua, Joseba; Díaz Labrador, Josuka; Buján Carballal, David; López de Ipiña González de Artaza, Diego
    This paper presents a generic semantic discovery algorithm, based in OWL, for UDDI registries that is not bound to any specific ontology or concepts from it. It enables to match instances and properties without specifically knowing the ontologies being matched and it enables to use all concepts contained in the request resulting in a matching closer to the user needs. Also, the generality of the proposed algorithm enables to change the ontology being used to describe an element in the registry without needing to modify the algorithm and therefore, it enables to use other OWL ontologies to describe the information stored in the registry
  • Miniatura
    Ítem
    Human-robot collaboration as a new paradigm in circular economy for WEEE management
    (Elsevier B.V., 2019) Rentería Bilbao, Arantxa; Álvarez de los Mozos, Esther
    E-waste is a priority waste stream as identified by the European Commission due to fast technological changes and eagerness of consumers to acquire new products. The value chain of the Waste on Electric and Electronic Equipment (WEEE) has to face several challenges: the EU directives requesting collection targets for 2019-2022, the costs of disassembly processes which is highly dependent on the applied technology and type of discarded device, and the sale of the obtained components and/or raw materials, with market prices varying according to uncontrolled variables at world level. This paper presents a human-robot collaboration for a recycling process where tasks are opportunistically assigned to either a human-being or a robot depending on the condition of the discarded electronic device. This solution presents some important advantages; i.e. tedious and dangerous tasks are assigned to robots whereas more value-added tasks are allocated to humans, thus preserving jobs and increasing job satisfaction. Furthermore, first results from a prototype show greater productivity and profitable projected investment.
  • No hay miniatura disponible
    Ítem
    Interacting with the digital world through RFID-powered gadgets
    (IEEE, 2009) Muguira Urtubi, Leire; Ruiz de Garibay Pascual, Jonathan; Vazquez, Juan-Ignacio
    The 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.
  • No hay miniatura disponible
    Ítem
    Internet browsing through RFID-powered gadgets
    (IOS Press, 2009) Muguira Urtubi, Leire; Ruiz de Garibay Pascual, Jonathan; Vazquez, Juan-Ignacio
    The 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.
  • Miniatura
    Ítem
    Komunikazioko graduko euskal ikasleen matematika-antsietatea neurtzeko RMARS galdetegiaren euskarazko bertsioaren garapena
    (Udako Euskal Unibertsitatea (UEU), 2023) Berasategi, Miren
    Datuek gero eta presentzia handiagoa duten egungo errealitate konplexua ulertzeko gaitasunari eragiten dioten faktore mugatzaileen artean kokatzen da matematika-antsietatea. Kazetariek datuetan oinarritutako informazioaren zabalkundean jokatzen duten bitartekari paper nabarmena dela eta (Kovach eta Rosenstiel, 2014), ikerketa-objektu esanguratsua dira, bereziki zabaldua egonik kazetaritzako ikasleak “matematikarekin txarrak” direla (Bradshaw, 2018; Maier, 2002). Ikerlan honek Deustuko Unibertsitateko Komunikazioko graduko 185 ikasleren matematikaantsietatea neurtzen du, eta antsietate honek haien matematika-errendimendua zein neurritan oztopatzen duen. Aldi berean, neurketa hori egiteko euskarazko tresna proposatu eta balioztatzen du, euskal hiztunek ohikoa ez den hizkuntzan matematikekin aritzean jasan dezaketen antsietate gehigarria saihestu eta hizkuntza-aldaketaren eragina ikertzeko helburuz
  • No hay miniatura disponible
    Ítem
    A model of non functional properties for grid resources
    (Springer, 2009) Buján Carballal, David; Corcho García, Óscar; Díaz Labrador, Josuka
    So 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.
  • No hay miniatura disponible
    Ítem
    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.