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    • Malicious website detection through deep learning algorithms 

      Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Canal Corretger, Ramon (Springer Nature, 2022)
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      Traditional methods that detect malicious websites, such as blacklists, do not update frequently, and they cannot detect new attackers. A system capable of detecting malicious activity using Deep Learning (DL) has been ...

    • La metodología ANCORA aplicada a la asignatura "Introducción a los ordenadores" de la ETSETB-UPC 

      Otero Calviño, Beatriz; Bofill Soliguer, Pablo (2006-02)
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      Este trabajo describe las actividades realizadas y los resultados obtenidos al aplicar la metodología ANCORA a la asignatura Introducción a los Ordenadores impartida en el cuatrimestre 1A (curso otoño 2005) de Ingeniería ...

    • Mobile resource management for better user experience: an audio case study 

      Morales Pacheco, Roberto Antonio; Otero Calviño, Beatriz; Gil, Marisa (2010)
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      Ubiquitous environment's research has evolved considerably over the last years. The wide range of mobile devices, their high diversity and mobility have raised a variety of challenges being resource management a predominant, ...

    • Modeling seismic wave propagation using staggered-grid mimetic finite differences 

      Solano, Freysimar; Guevara-Jordan, Juan; González, Carlos; Rojas, Otilio; Otero Calviño, Beatriz (2017-04-12)
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      Mimetic finite difference (MFD) approximations of continuous gradient and divergente operators satisfy a discrete version of the Gauss-Divergente theorem on staggered grids. On the mimetic approximation of this integral ...

    • Multi-GPU and multi-CPU accelerated FDTD scheme for vibroacoustic applications 

      Francés Monllor, Jorge; Otero Calviño, Beatriz; Bleda Pérez, Sergio; Gallego Rico, Sergi; Neipp López, Cristian; Urbano-Márquez, A.; Beléndez Vazquez, Augusto (2015-06-01)
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      The Finite-Difference Time-Domain (FDTD) method is applied to the analysis of vibroacoustic problems and to study the propagation of longitudinal and transversal waves in a stratified media. The potential of the scheme and ...

    • Operación stencil en CUDA 

      Garcés, Bernardo; Herrero Zaragoza, José Ramón; Otero Calviño, Beatriz (2011-11-29)
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      Los problemas derivados de la disipación de energía en la computación secuencial, están haciendo que cada vez se popularice más el uso de máquinas y sistemas con mayor cantidad de núcleos de proceso, pasando desde pequeños ...

    • Performance analysis of SSE and AVX instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problems 

      Francés, Jorge; Bleda, Sergio; Márquez, Andrés; Neipp, Cristian; Gallego, Sergi; Otero Calviño, Beatriz; Beléndez, Augusto (2013-12-04)
      Article
      Accés restringit per política de l'editorial
      In this work a unified treatment of solid and fluid vibration problems is developed by means of the Finite-Difference Time-Domain (FDTD). The scheme here proposed takes advantage from a scaling factor in the velocity fields ...

    • Performance analysis of SSE instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problem 

      Francés, Jorge; Bleda, Sergio; Márquez, Andrés; Neipp, Cristian; Gallego, Sergi; Otero Calviño, Beatriz; Beléndez, Augusto (2013)
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      In this work a unified treatment of solid and fluid vibration problems is developed by means of the Finite-Difference Time-Domain (FDTD). The scheme here proposed introduces a scaling factor in the velocity fields that ...

    • Platform-agnostic steal-time measurement in a guest operating system 

      Verdú Mulà, Javier; Costa Prats, Juan José; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Pajuelo González, Manuel Alejandro; Canal Corretger, Ramon (2018-10)
      Report de recerca
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      Steal time is a key performance metric for applications executed in a virtualized environment. Steal time measures the amount of time the processor is preempted by code outside the virtualized environment. This, in turn, ...

    • Privacy preserving deep learning framework in fog computing 

      Gutiérrez Escobar, Norma; Rodríguez Luna, Eva; Mus León, Sergi; Otero Calviño, Beatriz; Canal Corretger, Ramon (Springer, 2020)
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      Nowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ...

    • Random forest parameterization for earthquake catalog generation 

      Llácer Giner, David; Otero Calviño, Beatriz; Tous Liesa, Rubén; Monterrubio Velasco, Marisol; Carrasco Jiménez, José; Rojas Ulacio, Otilio (Springer, 2020)
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      An earthquake is the vibration pattern of the Earth’s crust induced by the sliding of geological faults. They are usually recorded for later studies. However, strong earthquakes are rare, small-magnitude events may pass ...

    • Small-layered feed-forward and convolutional neural networks for efficient P wave earthquake detection 

      Mus León, Sergi; Otero Calviño, Beatriz; Alvarado Vivas, Leonardo; Canal Corretger, Ramon; Rojas Ulacio, Otilio (2022-11-15)
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      Accés restringit per política de l'editorial
      The number and efficiency of seismic networks have steadily increase over time delivering large datasets to be analyzed for earthquake occurrence. Automatic tools for accurate earthquake detection are under emerging and ...

    • Strategies of Domain Decomposition to Partition Mesh-Based Applications onto Computational Grids 

      Otero Calviño, Beatriz; Gil, Marisa (2011-05-02)
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      In this paper, we evaluate strategies of domain decomposition in Grid environment to solve mesh-basedapplications. We compare the balanced distribution strategy with unbalanced distribution strategies. While the former is ...

    • SURF-based mammalian species identification system 

      Otero Calviño, Beatriz; Rodríguez Luna, Eva; Ventura Queija, Jacint (2016-05-31)
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      The development of tools for the automated identification of species will reduce the burden of routine identifications conducted by many biologists. The design of these tools is difficult because it depends on the proper ...

    • Teaching engineering with autonomous learning activities 

      Otero Calviño, Beatriz; Rodríguez Luna, Eva; Royo Chic, Pablo (Institut de Ciències de l'Educació (ICE), 2015-09-01)
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      This paper proposes several actvites that encourage self-learning in engineering courses. For each actvity, the context and the pedagogical issues addressed are described emphasizing strengths and weaknesses. Specifcally, ...

    • Teaching engineering with autonomous learning activities 

      Otero Calviño, Beatriz; Rodríguez Luna, Eva; Royo Chic, Pablo (OmniaScience, 2015-09)
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      This paper proposes several activities that encourage self-learning in engineering courses. For each activity, the context and the pedagogical issues addressed are described emphasizing strengths and weaknesses. Specifically, ...

    • Teaching engineering with autonomous learning tools: good practices in GRAPAU-RIMA 

      Marcé Nogué, Jordi; Salán Ballesteros, Maria Núria; Aragoneses Aguado, Andrés; Bernat Masó, Ernest; Escrig Pérez, Christian; Otero Calviño, Beatriz; Rupérez de Gracia, Elisa; Illescas Fernandez, Silvia (2012-09-03)
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      Accés restringit per política de l'editorial

    • Transfer-learning-based intrusion detection framework in IoT networks 

      Rodríguez Luna, Eva; Valls, Pol; Otero Calviño, Beatriz; Costa Prats, Juan José; Verdú Mulà, Javier; Pajuelo González, Manuel Alejandro; Canal Corretger, Ramon (Multidisciplinary Digital Publishing Institute (MDPI), 2022-07-27)
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      Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine ...

    • Un esquema paralelo para el cálculo del pseudoespectro de matrices de gran magnitud 

      Otero Calviño, Beatriz; Astudillo, Reinaldo; Castillo, Zenaida (Universitat Politècnica de Catalunya. CIMNE, 2015-01-01)
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      El pseudoespectro es una gran herramienta para el estudio de sistemas dinámicos asociados a matrices no normales. En las últimas décadas su estudio y aplicación se ha intensificado, por lo que realizar su cálculo de forma ...

    • Un modelo para diseñar actividades de aprendizaje en la enseñanza de ingenierías 

      Otero Calviño, Beatriz; Rodríguez Luna, Eva (Red Estatal de Docencia Universitaria, 2016-11-01)
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      En los actuales momentos nuestros estudiantes se encuentran bastante desmotivados a la hora de asistir a clase y de trabajar. Esto conduce a que sea necesario que el profesor introduzca cambios en sus clases que lo lleven ...