Browsing by Author "Otero Calviño, Beatriz"
Now showing items 1-20 of 73
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A 3D terrain generator: Enhancing robotics simulations with GANs
(Springer, 2023)
Conference report
Restricted access - publisher's policySimulation is essential in robotics to evaluate models and techniques in a controlled setting before conducting experiments on tangible agents. However, developing simulation environments can be a challenging and time-consuming ... -
A comparative study of two compact finite difference methods: standard vs. mimetic
(Sociedad Venezolana de Métodos Numéricos en Ingeniería, 2014)
Conference report
Restricted access - publisher's policyIn this work, we implement two fourth-order compact finite differences (CFD) methods and use them to model wave propagation on a elastic string. The formulation of the first method employs the standard implicit CFD constructed ... -
A cost-efficient QoS-aware analytical model of future software content delivery networks
(2021-07)
Article
Open AccessFreelance, part-time, work-at-home, and other flexible jobs are changing the concept of workplace, and bringing information and content exchange problems to companies. Geographically spread corporations may use remote ... -
A differential privacy protection-based federated deep learning framework to fog-embedded architectures
(Elsevier, 2024-04)
Article
Open AccessNowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ... -
A dispersion analysis of uniformly high order, interior and boundaries, mimetic finite difference solutions of wave propagation problems
(Springer, 2024)
Article
Open AccessA preliminary stability and dispersion study for wave propagation problems is developed for mimetic finite difference discretizations. The discretization framework corresponds to the fourth-order staggered-grid Castillo-Grone ... -
A domain decomposition technique for pseudospectra computations
(2013)
Conference report
Restricted access - publisher's policyThe pseudospectra, a tool to study the behavior of systems associated with nonnormal matrices has been considered extremely useful in the last decades, for that reason there is a recent interest in its efficient computation. ... -
A mimetic wave equation discretization with absorbing boundary condition: Formulation and application
(2016)
Conference report
Open AccessThe cornerstone of mimetic finite differentiation (FD) is that discrete gradients and divergences, in combination with a novel boundary flux operator satisfies an approximation to the Gauss–Divergence theorem. In this ... -
A new mimetic scheme for the acoustic wave equation
(2016-03-15)
Article
Open AccessA new mimetic finite difference scheme for solving the acoustic wave equation is presented. It combines a novel second order tensor mimetic discretizations in space and a leapfrog approximation in time to produce an explicit ... -
A performance analysis of a mimetic finite difference scheme for acoustic wave propagation on GPU platforms
(2017-02-01)
Article
Open AccessRealistic applications of numerical modeling of acoustic wave dynamics usually demand high-performance computing because of the large size of study domains and demanding accuracy requirements on simulation results. Forward ... -
A survey of deep learning techniques for cybersecurity in mobile networks
(2021-06-07)
Article
Open AccessThe widespread use of mobile devices, as well as the increasing popularity of mobile services has raised serious cybersecurity challenges. In the last years, the number of cyberattacks has grown dramatically, as well as ... -
A survey of machine and deep learning methods for privacy protection in the Internet of things
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-21)
Article
Open AccessRecent advances in hardware and information technology have accelerated the proliferation of smart and interconnected devices facilitating the rapid development of the Internet of Things (IoT). IoT applications and services ... -
All-terminal reliability evaluation through a Monte Carlo simulation based on an MPI implementation
(2012)
Conference report
Open AccessAll-terminal reliability (ATR), defined as the probability that every node in a network can communicate with every other node, is an important problem in research areas such as mobile ad-hoc wireless networks, grid computing ... -
Alternating direction implicit time integrations for finite difference acoustic wave propagation: parallelization and convergence
(Elsevier, 2020-06-15)
Article
Open AccessThis work studies the parallelization and empirical convergence of two finite difference acoustic wave propagation methods on 2-D rectangular grids, that use the same alternating direction implicit (ADI) time integration. ... -
Ambiences: on-the-fly usage of available resources through personal devices
(2013-10)
Article
Open AccessIn smart spaces such as smart homes, computation is embedded everywhere: in toys, appliances, or the home’s infrastructure. Most of these devices provide a pool of available resources which the user can take advantage, ... -
Artificial neural networks as emerging tools for earthquake detection
(2019)
Article
Open AccessAs seismic networks continue to spread and monitoring sensors become more ef¿cient, the abundance of data highly surpasses the processing capabilities of earthquake interpretation analysts. Earthquake catalogs are fundamental ... -
Compact finite difference modeling of 2-D acoustic wave propagation
(2016-03-15)
Article
Open AccessWe present two fourth-order compact finite difference (CFD) discretizations of the velocity–pressure formulation of the acoustic wave equation in 2-D rectangular grids. The first method uses standard implicit CFD on nodal ... -
Conceptos básicos necesarios en la asignatura de Fundamentos de Ordenadores (ETSETB)
(Universitat Politècnica de Catalunya, 2013-05)
Lecture notes
Open AccessEste documento está dirigido a los estudiantes de nuevo ingreso que cursarán estudios de Ingeniería en la ETSETB. Concretamente el documento resultará útil para los estudiantes matriculados en la asignatura de Fundamentos ... -
Deep learning detection of GPS spoofing
(Springer Nature, 2022)
Conference report
Open AccessUnmanned aerial vehicles (UAVs) are widely deployed in air navigation, where numerous applications use them for safety-of-life and positioning, navigation, and timing tasks. Consequently, GPS spoofing attacks are more and ... -
Deep neural networks for earthquake detection and source region estimation in north-central Venezuela
(2020-10-01)
Article
Open AccessReliable earthquake detection algorithms are necessary to properly analyze and catalog the continuously growing seismic records. We report the results of applying a deep convolutional neural network, called UPC‐UCV ... -
Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework
(Springer Nature, 2023-02-04)
Article
Open AccessThe widespread use of smart devices and the numerous security weaknesses of networks has dramatically increased the number of cyber-attacks in the internet of things (IoT). Detecting and classifying malicious traffic is ...
