6 documents found, page 1 of 1
A deep learning-based model to predict nitrogen dioxide in urban environments
Oliveira, P.; Díaz-Longueira, Antonio; Marcondes, Francisco Supino; Durães, Dalila; Calvo-Rolle, José Luis; Jove, Esteban; Novais, PauloNowadays, our society faces several problems regarding the environmental sustainability of our planet. One of these problems, which severely impacts human lives, such as climate change, is air pollution. Air pollution in urban environments is derived from road transport and different economic activities and directly impacts human health. Then, air quality monitoring stations are essential to determine potential...
Geothermal heat exchanger’s temperature input sensor prediction based on deep l...
Oliveira, P.; Arcano-Bea, Paula; Marcondes, Franciso S.; Calvo-Rolle, José Luis; Novais, Paulo; Jove, EstebanThe goal of this study was to test many models in order to check which one better predicted the heat exchanger of a bioclimatic building. A number of regression models, pre-processing methods, and data analyses are compared in the study to forecast the input collector temperature of the heat pump. Specifically, three different techniques have been considered in this research work: Multilayer Perceptrons, Long S...
Dimensional reduction applied to an intelligent model for boost converter switc...
Fernandez-Serantes, Luis Alfonso; Casteleiro-Roca, José Luis; Novais, Paulo; Simić, Dragan; Calvo-Rolle, José LuisThe dimensional reduction algorithms are applied to a hybrid intelligent model that distinguishes the switching operating mode of a boost converter. Thus, the boost converter has been analyzed and both operating mode are explained, distinguishing between Hard-switching and Soft-switching modes. Then, the dataset is created out of the data obtained from simulation of the real circuit and the hybrid intelligent c...
A novel intelligent approach for man-in-the-middle attacks detection over inter...
Michelena, Álvaro; Aveleira-Mata, José; Jove, Esteban; Bayón-Gutiérrez, Martín; Novais, Paulo; Fontenla Romero, Oscar; Calvo-Rolle, José LuisOne of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems take advantage of special features of the protocols and cause system disruptions, making them invisible to legitimate elements. In this work, an intrusion detection system (IDS), where intelligent models c...
A comparative study to detect flowmeter deviations using one-class classifiers
Jove, Esteban; Casteleiro-Roca, José Luis; Quintián, Héctor; Zayas-Gato, Francisco; Novais, Paulo; Méndez-Pérez, Juan Albino; Calvo-Rolle, José LuisThe use of bicomponent materials has encouraged the proliferation of wind turbine blades to produce electric power. However, the high complexity of the process followed to obtain this kind of materials difficult the problem of detecting anomalous situations in the plant, due to sensors or actuators malfunctions. This work analyses the use of different one-class techniques to detect deviations in one flowmeter l...
Hydrogen consumption prediction of a fuel cell based system with a hybrid intel...
Montero-Sousa, Juan Aurelio; Aláiz-Moretón, Héctor; Quintián, Héctor; González-Ayuso, Tomás; Novais, Paulo; Calvo-Rolle, José LuisEnergy storage is one of the challenges of the electric sector. There are several different technologies available for facing it, from the traditional ones to the most advanced. With the current trend, it is mandatory to develop new energy storage systems that allow optimal efficiency, something that does not happen with traditional ones. Another feature that new systems must meet is to envisage the behaviour o...