Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine $$\hbox {NaFePO}_4$$ NaFePO 4
Authors: Mario Fernández-Pendás,Elena Akhmatskaya,Elena Akhmatskaya,Tijana Radivojevic,Ariel Lozano,Bruno Escribano,Javier Carrasco
The study of ion transport in electrochemically active materials for energy storage systems requires simulations on quantum- atomistic- and mesoscales. The methods accessing these scales not only have to be effective but also well compatible to provide a full description of the underlying processes…
Springer Science and Business Media LLC
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems
Authors: Andoni Elola,Javier Del Ser,Miren Nekane Bilbao,Cristina Perfecto,Enrique Alexandre,Sancho Salcedo-Sanz
The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- struction of features in supervised learning problems, which differs from the…
Elsevier BV
A novel BRAM content accessing and processing method based on FPGA configuration bitstream
Authors: J. Gomez-Cornejo,A. Zuloaga,I. Villalta,J. Del Ser,U. Kretzschmar,J. Lazaro
This paper presents a new approach to manage data content of memories implemented in FPGAs through the configuration bitstream. The proposed approach is able to read and write the data content from Block RAMs (BRAMs) in FPGA based designs by reading and processing the information stored in the…
Elsevier BV
Comparison of beta-binomial regression model approaches to analyze health-related quality of life data
Authors: Najera-Zuloaga, J.,Lee, D.-J.,Arostegui, I.
Health-related quality of life has become an increasingly important indicator of health status in clinical trials and epidemiological research. Moreover, the study of the relationship of health-related quality of life with patients and disease characteristics has become one of the primary aims of…
SAGE Publications
An efficient approximation to the K-means clustering for massive data
Authors: Marco Capó,Aritz Pérez,Jose A. Lozano
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial settings and the large number of distance computations that it can require to…
Elsevier BV
A multi-domain decomposition-based Fourier finite element method for the simulation of 3D marine CSEM measurements
Authors: Shaaban A. Bakr,Shaaban A. Bakr,David Pardo,David Pardo,David Pardo
We introduce a multi-domain decomposition Fourier finite element (MDDFFE) method for the simulation of three-dimensional (3D) marine controlled source electromagnetic measurement (CSEM). The method combines a 2D finite element (FE) method in two spatial dimensions with a hybrid discretization based…
Springer Science and Business Media LLC
Optimally refined isogeometric analysis
Authors: Michael Bartoň,Daniel Garcia,David Pardo,David Pardo,David Pardo
ICERMAR Project KK-2015/0000097 Consolidated Research Group Grant IT649-13 Elsevier BV
Analyzing the Performance of Allocation Strategies Based on Space-Filling Curves
Authors: Jose Miguel-Alonso,Jose A. Lozano,Jose A. Lozano,Jose Antonio Pascual
Future exascale supercomputers will be composed of thousands of nodes. In those massive systems, the search for physically close nodes will become essential to deliver an optimal environment to execute parallel applications. Schedulers manage those resources, shared by many users and jobs,…
Springer International Publishing
A multi-objective memetic inverse solver reinforced by local optimization methods
Authors: David Pardo,David Pardo,David Pardo,Ewa Gajda-Zagórska,Ewa Gajda-Zagórska,Maciej Smołka,Robert Schaefer,Julen Álvarez-Aramberri
We propose a new memetic strategy that can solve the multi-physics, complex inverse problems, formulated as the multi-objective optimization ones, in which objectives are misfits between the measured and simulated states of various governing processes. The multi-deme structure of the strategy…
Elsevier BV
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation
Authors: Elisabete Aramendi,Andoni Elola,Erik Alonso,Unai Irusta,Mohamud Daya,James K. Russell,Pia Hubner,Fritz Sterz
The rates of chest compressions (CCs) and ventilations are both important metrics to monitor the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring ventilation, but the CCs provided during CPR corrupt the capnogram and compromise the accuracy of automatic ventilation…
Elsevier BV
ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers
Authors: Byrski, A.,Paszyński, M.,Schaefer, R.,Calo, V.,Pardo Zubiaur, David
This workshop seeks to integrate results from different domains of computer science, computational science, and mathematics. We welcome simulation papers, either hard simulations using finite element or finite difference methods, or soft simulations by means of evolutionary computations, and…
Elsevier BV
On-Line Dynamic Time Warping for Streaming Time Series
Authors: Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano,Izaskun Oregi
Dynamic Time Warping is a well-known measure of dissimilarity between time series. Due to its flexibility to deal with non-linear distortions along the time axis, this measure has been widely utilized in machine learning models for this particular kind of data. Nowadays, the proliferation of…
Springer International Publishing
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics
Authors: Ana I. Torre-Bastida,Javier Del Ser,Javier Del Ser,Ibai Laña,Ignacio Olabarrieta,Sergio Campos-Cordobés
This paper describes a Big Data stream analytics platform developed within the DEWI project for processing upcoming events from wireless sensors installed in a truck. The platform consists of a Complex Event Processing (CEP) engine capable of triggering alarms from a predefined set of rules. In…
Springer Singapore
This work provides solid guidance for the selection of accurate and robust vdW-inclusive methods for high-throughput computational screening of layered electroactive materials.
Royal Society of Chemistry (RSC)
Goal-Oriented p -Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem
Authors: Ángel Rodríguez-Rozas,Ángel Rodríguez-Rozas,Vincent Darrigrand,Vincent Darrigrand,Ignacio Muga,David Pardo,David Pardo,David Pardo
International audience; This work proposes the use of an alternative error representation for Goal-Oriented Adaptivity (GOA) in context of steady state convection dominated diffusion problems. It introduces an arbitrary operator for the computation of the error of an alternative dual problem. From…
Elsevier BV
Solving Strategy Board Games using a CSP-based ACO Approach
Authors: Antonio Gonzalez-Pardo,Javier Del Ser,David Camacho
In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an application domain for testing different artificial intelligence algorithms. Some of these problems can be represented as a constraint satisfaction problem (CSP), and…
Inderscience Publishers
KETpic-Matlab Toolbox for LaTeX High-Quality Graphical Artwork in Educational Materials on Bézier Curve Algorithms at a Master Level
Authors: Akemi Gálvez,Akemi Gálvez,Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Setsuo Takato,Masataka Kaneko
This paper introduces a new Open image in new window toolbox to generate Open image in new window high-quality graphical artwork about the main algorithms for Bezier curves and related topics. The package has been implemented by the authors as a supporting middleware tool to generate educational…
Springer International Publishing
A Meta-heuristic Learning Approach for the Non-Intrusive Detection of Impersonation Attacks in Social Networks
Authors: Miren Nekane Bilbao,Javier Del Ser,Sancho Salcedo-Sanz,Esther Villar-Rodriguez,Sergio Gil-Lopez
Cyber attacks have recently gained momentum in the research community as a sharply concerning phenomenon further ignited by the proliferation of social networks, which unfold a variety of ways for cybercriminals to access compromised information of their users. This paper gravitates on…
Inderscience Publishers
Output-only identification of rigid body motions of floating structures: a case study
Authors: Ruzzo, C.,Failla, G.,Collu, M.,Nava, V.,Fiamma, V.,Arena, F.
In order to identify rigid body motions of floating offshore structures, output-only techniques are very useful for developing low-cost intermediate-scale experimental activities directly into the sea, instead of wave tanks. A crucial parameter, however, is the length of the response records used…
Elsevier BV
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches
Authors: Pedro Pinacho Davidson,Pedro Pinacho Davidson,Christian Blum,Jose A. Lozano,Jose A. Lozano
This work deals with the so-called weighted independent domination problem, which is an $NP$-hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a non-theoretical perspective. The first contribution consists in the development of…
Springer International Publishing
On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics
Authors: Lobo, J.L.,Del Ser, J.,Villar-Rodriguez, E.,Salcedo-Sanz, S.,Bilbao, M.N.
Recently the relevance of adaptive models for dynamic data environments has turned into a hot topic due to the vast number of sce- narios generating nonstationary data streams. When a change (concept drift) in data distribution occurs, the ensembles of models trained over these data sources are…
Springer Singapore
Optimal Phase Swapping in Low Voltage Distribution Networks Based on Smart Meter Data and Optimization Heuristics
Authors: Mendia, Izaskun,Gil-López, Sergio,Del Ser, Javier,Bordagaray, Ana González,Prado, Jesús García,Vélez, Manuel
In this paper a modified version of the Harmony Search al- gorithm is proposed as a novel tool for phase swapping in Low Voltage Distribution Networks where the objective is to determine to which phase each load should be connected in order to reduce the unbalance when all phases are added into the…
Springer Singapore