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Feeder mapping and load flow algorithms for LV distribution grids
(IEEE, 2021)
With the advent of the electric vehicle, distributed generation and other emerging technologies such as heat pumps, the complexity and uncertainty of LV Distribution Networks (LVDNs) is increasing. Advanced Metering ...
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ...
IKARO: plataforma de benchmarking de algoritmos de fuzzing para sistemas embebidos
(Escola Politècnica Superior (EPS) de la Unversitat de Lleida (UdL), 2021)
La presencia de sistemas embebidos conectados aumenta progresivamente representando un desafío el poder actualizar vulnerabilidades una vez han sido desplegados en
campo. Por ello, es necesario optimizar la búsqueda de ...
MODDALS Methodology for Designing Layered Ontology Structures
(IOS Press, 2020)
Global ontologies include common vocabularies to provide interoperability among different applications. These ontologies require a balance of reusability-usability to minimise the ontology reuse effort in different ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...
Modelo ASIG para dinámicas online
(Universidad de La Laguna, 2021)
La situación que vivimos de transformación digital ha subrayado que los entornos online son un espacio útil para el aprendizaje. Sin
embargo, no siempre es fácil diseñar y desarrollar dinámicas que, en
desapego a los ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics
(Elsevier, 2020)
In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladradoQualitative estimation of the roughness using automatic learning algorithms in a drilling operation
(Federación de Asociaciones de Ingenieros Industriales de España, 2020)
Impact of long-term resource variations on wave energy Farms: The Icelandic case
(Elsevier, 2020)
Four decades (between 1979 and 2018) of the wave energy resource around Iceland are analysed in the present paper via the ERA5 reanalysis, the newest reanalysis of the European Centre for Medium-Range Weather Forecasts. ...
Damping characterisation of an elevator rope
(ISMA, 2022)
The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements. ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...
Links between circular economy and climate change mitigation in the built environment
(Elsevier, 2020)
The construction sector represents one of the most significant sources of waste generation in the European Union (EU), with nearly one billion tonnes of construction and demolition waste annually. This sector also contributes ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
Integral Design and Manufacturing Methodology of a Reduced-Scale Servo Press
(IEEE, 2021)
In a context where industrial production boosts both the society and the economy of a country, improvements in industrial processes are key factors for efficient and reliable development of goods and products. New industrial ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...