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Publication Body x Materials: A workshop exploring the role of material-enabled body-based multisensory experiences(Association For Computing Machinery (ACM), 2023-04-19) Petreca, Bruna Beatriz; Baurley, Sharon; Tajadura Jiménez, Ana; Turmo Vidal, Laia ; O'Nascimento, Ricardo; Seifi, Hasti; Ley Flores, Judith Guadalupe; Singh, Aneesha; Berthouze, Nadia; Obrist, Marianna; Agencia Estatal de Investigación (España); European CommissionOver the last 15 years, HCI and Interaction Design have experienced a 'material turn'characterized by a growing interest in the materiality of technology and computation, and in methods that support exploring, envisioning, and crafting with and through materials. The community has experienced a similar turn focused on the body, on how to best design for and from a first-person, lived experience, and the moving and sensual body. In this workshop, we focus on the intersection of these two turns. The emerging developments in multimodal interfaces open opportunities to bring in materiality to the digital world as well as to transform the materiality of objects and bodies in the real-world, including the materiality of our own bodies. The different sensory qualities of (touchable and untouchable, physical and digital) objects and bodies, including our own, can be brought into the design of digital technologies to enrich, augment, and transform embodied experiences. In this 'materials revolution'[15], what are the current theories, approaches, methods, and tools that emphasize the critical role of materiality to body-based interactions with technology? To explore this, in this workshop we will focus on five related themes: material enabling expression, material as a catalyst for human action, material enabling reflection and awareness, material enabling transformation and material supporting the design process for the re-creation of the existing and the yet-to-exist. This workshop with technology presentations, panel sessions with experts, and multidisciplinary discussions will: (i) bring together researchers who work on (re)creating sensory properties of materials through technology with those who investigate experiential effects of materials and material-enabled interactions, (ii) discuss methods, opportunities, difficulties in designing materiality and material-enabled interactions, and (iii) form a multidisciplinary community to build synergies and collaborations.Publication Towards Advancing Body Maps as Research Tool for Interaction Design(Association For Computing Machinery (Acm), 2023-02-28) Turmo Vidal, Laia; Li, Yinchu; Stojanov, Martin; Johansson, Karin B.; Tylstedt, Beatrice; Eklund, Lina; European CommissionBody maps are a popular tool in body-centric design, facilitating a sensitization and expression of felt sensations and emotions. Yet, they also bring forth assumptions about the body and our somatic experience. Based on an open and exploratory design ideation inquiry, we have started to explore how body maps could be advanced so as to cater to a plurality of bodies and aspects that shape somatic experiences. We present an annotated portfolio featuring six design themes (temporality, sociality, representativeness, granularity, context, focus). These themes help us examine implicit assumptions of current body maps, and offer possible alternatives for what future body maps could become. We contribute our themes, inspirational design ideas and practical design techniques to help craft novel body maps. Our contributions can serve as inspiration to others, towards advancing body maps as a research tool for body-centric interaction design.Item Competition Supported by Information Technologies Including IoT Scenarios(IEEE. The Institute of Electrical and Electronics Engineers, 2022-06-29) Muñoz Merino, Pedro José; Moreno Marcos, Pedro Manuel; Delgado Kloos, Carlos; Agencia Estatal de Investigación (España); Comunidad de MadridPublication Statoodle: A Learning Analytics Tool to Analyze Moodle Students" Actions and Prevent Cheating(Springer, 2023-09-04) Moreno Marcos, Pedro Manuel; Barredo, Jorge; Muñoz Merino, Pedro José; Delgado Kloos, Carlos; Comunidad de Madrid; Agencia Estatal de Investigación (España)In higher education, Learning Management Systems (LMS) are widely used to enable a space where instructors can deliver the materials, propose and collect activities, and interact with students, among other functionalities. These LMSs allow collecting a vast amount of information whose analysis may improve the learning process and can even detect cheating situations. In the literature, there are some plugins to analyze LMS data, but the issue is that plugins need to be installed by the administrators. This demo presents Statoodle, a simple desktop tool aimed to analyze Moodle data based on exported logs, which can be obtained by any instructor. Among its functionalities, it can inspect activity within the exams to determine whether or not there are unauthorized accesses, which is something not often included in other plugins, it can provide detailed PDF reports about the overall performance of the quizzes (using algorithms, such as the Item Response Theory to analyze items’ difficulty), Excel reports with indicators about students’ activity and overall statistics about the grades. The tool has been tested in two courses, showing potential to detect exam fraud and/or prevent students from cheating when they are alerted that logs will be processed.Publication 3D Object Detection for Autonomous Driving: A Practical Survey(SCITEPRESS, 2023-04-26) Ramajo, Álvaro; Escalera Hueso, Arturo de la; Armingol Moreno, José María; Comunidad de Madrid; Ministerio de Ciencia e Innovación (España)Autonomous driving has been one of the most promising research lines in the last decade. Although still far off the sought-after level 5, the research community shows great advancements in one of the most challenging tasks: the 3d perception. The rapid progress of related fields like Deep Learning is one the reasons behind this success. This enables and improves the processing algorithms for the input data provided by LiDAR, cameras, radars and such other devices used for environment perception. With such growing knowledge, reviewing and structuring the state-of-the-art solutions becomes a necessity in order to correctly address future research directions. This paper provides a comprehensive survey of the progress of 3D object detection in terms of sensor data, available datasets, top-performing architectures and most notable frameworks that serve as a baseline for current and upcoming works.Publication Adaptive multi-tier intelligent data manager for Exascale(ACM DL, 2023-08-04) Carretero Pérez, Jesús; García Blas, Francisco Javier; Aldinucci, Marco; Besnard, Jean Baptiste; Acquaviva, Jean Thomas; Brinkmann, Andre; Vef, Marc Andre; Jeannot, Emmanuel; Miranda, Alberto; Nou, Ramon; Riedel, Morris; Torquati, Massimo; Wolf, Felix; European Commission; Ministerio de Ciencia e Innovación (España)The main objective of the ADMIRE project1 is the creation of an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, the elasticity of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy, while offering quality-of-service (QoS), energy efficiency, and resilience for accessing extremely large data sets in very heterogeneous computing and storage environments. We have developed a framework prototype that is able to dynamically adjust computation and storage requirements through intelligent global coordination, separated control, and data paths, the malleability of computation and I/O, the scheduling of storage resources along all levels of the storage hierarchy, and scalable monitoring techniques. The leading idea in ADMIRE is to co-design applications with ad-hoc storage systems that can be deployed with the application and adapt their computing and I/O behaviour on runtime, using malleability techniques, to increase the performance of applications and the throughput of the applications.Publication Caracterización híbrida en fibrilación auricular y ritmo sinusal durante mapeo electroanatómico de ultra alta densidad(Elsevier España, S.L., 2023-10-26) Ríos Muñoz, Gonzalo Ricardo; Carta-Bergaz, Alejandro; Lopez-Doriga Costales, Juan; Ávila Alonso, Pablo; Atienza-Fernández, F. ; González-Torrecilla, Esteban; Fernández-Avilés, Francisco; Arenal, ÁngelPublication GERT: Transformers for Co-Speech Gesture Prediction in Social Robots(Springer Nature Limited, 2023-12-03) Sevilla Salcedo, Javier; Fernández Rodicio, Enrique; Castillo Montoya, José Carlos; Castro González, Álvaro; Salichs Sánchez-Caballero, Miguel; Ministerio de Ciencia e Innovación (España); European Commission; Comunidad de MadridSocial robots are becoming an important part of our society and should be recognised as viable interaction partners, which include being perceived as i) animate beings and ii) capable of establishing natural interactions with the user. One method of achieving both objectives is allowing the robot to perform gestures autonomously, which can become problematic when those gestures have to accompany verbal messages. If the robot uses predefined gestures, an issue that needs solving is selecting the most appropriate expression given the robot¿s speech. In this work, we propose three transformer-based models called GERT, which stands for Gesture-Enhanced Robotics Transformer, that predict the co-speech gestures that better match the robot¿s utterances. We have compared the performance of the three models of different sizes to prove their usability in the gesture prediction task and the trade-off between size and performance. The results show that all three models achieve satisfactory performance (F-score between 0.78 and 0.86).Publication Recognizing the Value of Recognition in Education(IEEE, 2023) Delgado Kloos, Carlos; Alario-Hoyos, Carlos ; Ibáñez Espiga, María Blanca; Moreno-Marcos, Pedro Manuel; Muñoz Merino, Pedro José; Estévez Ayres, Iria Manuela; Comunidad de Madrid; Agencia Estatal de Investigación (España); Universidad Carlos III de MadridIf learning at the side of the student is important, it is also recognition of the learning happened. This occurs at different levels and through different instruments. It can be informal, for motivation purposes or formal, to show outside. In this paper, we analyse the concept of recognition from several vantage points.Item SHEILA policy framework: informing institutional strategies and policy processes of learning analytics(Association For Computing Machinery (Acm), 2018) Tsai, Yi-Shan; Moreno-Marcos, Pedro Manuel; Tammets, Kairit; Kollom, Kaire; Gasevic, Dragan; European CommissionABSTRACT: This paper introduces a learning analytics policy development framework developed by a cross-European research project team - SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed using the RAPID Outcome Mapping Approach (ROMA), which is designed to develop effective strategies and evidence-based policy in complex environments. This paper presents three case studies to illustrate the development process of the SHEILA policy framework, which can be used to inform strategic planning and policy processes in real world environments, particularly for large-scale implementation in higher education contexts.Item Success-Enablers of Learning Analytics Adoption in Higher Education: A Quantitative Ethnographic Study(Springer Nature Limited, 2022) Alzahrani, Asma; Tsai, Yi-Shan; Kovanovic, Vitomir; Moreno-Marcos, Pedro Manuel; Jivet, Ioana; Aljohani, Naif; Gasevic, DraganThis paper focuses on the area of success-enablers in learning analytics (LA) adoption from the perspective of senior managers in higher education institutions (HEIs). A significant body of academic literature exists about challenges in LA. However, to date, the success-enablers from the perspectives of institutional senior managers have received limited attention. This research aims to address this gap reporting on the findings of a study that conducted a series of semi-structure interviews with senior managers at 44 European HEIs. A detailed thematic analysis was conducted on the interviews to tease out the main success-enablers. Then, connections of different success-enablers were analyzed using epistemic network analysis (ENA). The analysis showed that the success-enablers in HEIs that had fully adopted LA depended on the involvement of high-level stakeholders, setting an embedded strategy, getting a technology support from the external partnership, or having a strategic analytical culture. The HEIs that were preparing or only partly adopted LA depended on success-enablers such as having a developing analytical culture or a delegation of expertise in LA-related activity. The findings of this study can help HEIs create strategies that can support successful adoption of LA.Publication Programming Teaching Interaction(IEEE. The Institute Of Electrical And Electronics Engineers, Inc, 2022-03-28) Delgado Kloos, Carlos; Fernández Panadero, María Carmen; Alario-Hoyos, Carlos; Moreno-Marcos, Pedro Manuel; Ibáñez Espiga, María Blanca; Muñoz Merino, Pedro José; García Gutiérrez, Boni; Estévez Ayres, Iria Manuela; Comunidad de Madrid; Agencia Estatal de Investigación (España)Publication Frequency support technologies analysis for WECS in the isolated Grid System of Gran Canaria(IEEE, 2023) Nicolás-Martín, Carolina; Santos-Martín, David; Chinchilla-Sánchez, Mónica; Martínez-Crespo, Jorge; Agencia Estatal de Investigación (España)Different frequency support techniques for Wind Energy Conversion Systems are studied in this paper to avoid system shutdown in the isolated power grid of Gran Canaria under a frequency event: synthetic one loop inertia, Fast Power Reserve with a classic profile, and with a ramp profile. Their overall performance is numerically measured and compared in terms of frequency stability behavior and wind turbine energetic efficiency. A detailed model of the Gran Canaria power system is developed and implemented in Matlab/Simulink for such purpose. Its structure and parameters are based on real data obtained from Red Eléctrica de España. The use of a correctly tuned Fast Power Reserve technique provides a more efficient use of the extra power provided by the Wind Energy Conversion Systems than synthetic inertia in terms of the stability of the system. The Fast Power Reserve profile must be designed according to a set of guidelines to provide optimum results: a short power inrush (preferably in a ramp shape), a smooth transition from the power inrush to the recovery phase and an optimum recovery time of 3 to 4 times the power inrush time.Publication A statistical analysis of predictive maintenance tests on synthetic ester-filled railway transformers(IEEE, 2023) Sorrentino, Elmer; García de Burgos, María Belén; Urquiza Cuadros, Domingo Javier; García Gómez, Diego F.; Agencia Estatal de Investigación (España); European CommissionThe use of natural and synthetic esters as transformer liquid insulation has increased significantly in the last 15 years. These insulating liquids have much higher flash points than mineral oils, reducing the fire risk of transformers. Moreover, esters are biodegradable materials and their use limits the environmental damages and risks in case of a leak into the ground or water. For this reason, synthetic esters are often used in transformers for electrical trains and offshore windmills. Despite the advantages offered by natural and synthetic esters, there are challenges for their generalized use, such as the scarce information available on the interpretation of the predictive maintenance tests. This paper provides a statistical analysis carried out on a database of oil analysis on railway transformers. Reference values are calculated for several maintenance tests as dissolved oil gas analysis or physical-chemical properties of the oil. One part of the tests corresponds to synthetic ester-filled transformers, while the other part is from mineral oil-filled units. All the transformers are installed in Spanish high-speed trains. The percentiles 90, 95 and 98 were calculated for the key gases, furanic compounds and physical-chemical properties of oils. The typical increase rates for the key gases were also obtained.Publication Temperature Dependency of the Dielectric Response of Nanofluid-based Transformer Insulation Systems(IEEE, 2022) Pérez Rosa, Daniel; García de Burgos, María Belén; Burgos Díaz, Juan Carlos; Agencia Estatal de Investigación (España); Ministerio de Economía y Competitividad (España)In the last decade the interest in the development of nanofluids for electrotechnical applications has raised notably; these fluids provide improvements in some of the main properties of conventional dielectric oils. An important number of authors have studied the properties of different nanofluids and the knowledge about this fluids is significant at the moment. As a further step it is important to study how nanofluids behave when interacting with other transformer components. In this line, the study of the interaction with the Kraft paper that constitutes part of the transformer solid insulation is one of the most important topics to be addressed. The interaction between these materials and the properties of nanofluid-cellulose insulation systems under transformer working conditions should be studied before NFs could be used in real transformers. A study on the dielectric properties of the system is presented in this work which analyses the effect of the operating temperature in the dielectric response of nanofluid-based insulation systems.Publication Experimental Study on the Insulation Permittivity of Transformers Retrofilled with Natural Esters(IEEE, 2022) Montero Romero, Andrés; García de Burgos, María Belén; Mina, Juan David; Burgos Díaz, Juan Carlos; Agencia Estatal de Investigación (España); European CommissionEnvironmental or safety aspects might lead utilities to replace the mineral oil that serves as liquid insulation of transformers with a natural or synthetic ester. Although transformers retrofilling is becoming common for certain applications, the replacement of the dielectric fluid by a liquid with different properties has its own challenges and some aspects of the process have not been studied in depth yet. One of the factors that might vary when the mineral oil is replaced with an ester is its impact on the electric field distribution within the transformer. The relative permittivities of esters and mineral oil differ and, in the case of retrofilled transformers, where the insulation system becomes a mixture of both fluids, the values of this parameter are uncertain. In this paper, an experimental study is carried out to investigate how the retrofilling process affects the permittivities of the transformer insulation system. The evolution of this parameter along time has also been studied, finding that, although there is certainly some migration of mineral oil towards the ester, the process is slow and it mostly affects the surface of the solid insulation.Publication Weblogs y periodismo participativo(Universidade da Beira Interior (UBI), 2005) Lara Padilla, María TíscarPublication A comparative study on the dielectric properties of mineral oils and natural esters(IEEE, 2023) Montero Romero, Andrés; García, Diego; García de Burgos, María Belén; Burgos Díaz, Juan Carlos; Agencia Estatal de Investigación (España); European CommissionThe relevance of natural and synthetic esters as insulating liquids for transformer insulation has grown significantly in the last years. Its use has spread in small and medium sized distribution transformers and, although their use for large transformers is still residual, an increasing number of experiences are being reported. On the other hand, commercial natural esters differ in their composition and the accumulated experience with these kinds of fluids is still limited, what hinders the use of this type of insulating liquids as transformer insulation. More experience is needed to increase the confidence of the users and the reliability of the transformers filled with alternative liquids. In this work, a comparative study of the dielectric properties of two natural esters and a mineral oil is carried out. AC and impulse breakdown voltage characterization and dielectric response analysis are included in the paper.Publication Performance evaluation of Private and Public Blockchains for multi-cloud service federation(Association for Computing Machinery (ACM), 2024) Zahir, Adam; Groshev, Milan; Antevski, Kiril; Bernardos Cano, Carlos Jesús; Ayimba, Constantine; Oliva Delgado, Antonio de la; European Commission; Ministerio de Asuntos Económicos y Transformación Digital (España)The stringent low-latency, high reliability, availability and resilience requirements of 6G use cases will present challenges to cloud providers. Currently, cloud providers lack simple, efficient, and secure implementation of provisioning solutions that meet these challenges. Multi-cloud federation is a promising approach. In this paper, we evaluate the application of private and public blockchain networks for multi-cloud federation. We compare the performance of blockchain-based federation in private and public blockchain networks and their integration with a production-ready orchestration solution. Our results show that the public blockchain needs approximately 91 seconds to complete the federation procedure compared to the 48 seconds in the private blockchain scenario.Publication FoReCo: a forecast-based recovery mechanism for real-time remote control of robotic manipulators(ACM, 2022) Groshev, Milan; Sacido, Javier; Martín Pérez, Jorge; European CommissionThis demonstration presents FoReCo [4], a solution to recover lost control commands in remotely controlled robots. In the demonstration, visitors use a joystick to remotely control a robotic arm under the presence of packet losses in the wireless medium. The lost control commands result in a distorted trajectory of the robotic arm, thus, we deploy FoReCo to recover lost control commands using an ML model that we train with a real-world dataset. The demonstration shows how FoReCo recovers the lost commands, and how the robot arm operates smoothly despite the losses that are present in the wireless medium.