Jose Luis Calvo-Rolle

Jose Luis Calvo-Rolle
University of A Coruña | UDC · Department of Industrial Engineering

About

229
Publications
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1,692
Citations
Citations since 2017
150 Research Items
1528 Citations
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20172018201920202021202220230100200300400
20172018201920202021202220230100200300400

Publications

Publications (229)
Article
INTRODUCCIÓN. La reciente pandemia provocada por la COVID-19 ha supuesto numerosos cambios en los protocolos de salud pública, así como un profundo impacto socioeconómico. Políticas como el distanciamiento social y los confinamientos han condicionado las relaciones interpersonales y derivado en consecuencias dramáticas para muchas empresas y trabaj...
Chapter
Providing cybersecurity for computer networks is one of the main concerns for companies in this digital society. Unless this is done, companies can potentially lose huge amounts of data or even lose control of their own computer networks. Knowing the topology of the computer network and the information that is accessible on each of the nodes of the...
Chapter
One of the usual targets for attackers are websites. Thus, protecting such assets is a key issue and consequently, a great effort has been devoted so far to address this problem. However, scant attention has been paid to investigate the contribution of unsupervised machine learning to the analysis of web traffic in order to detect attacks. To bridg...
Chapter
The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal is based on combining the real-time identification algorithm, Recursive Least Squares, with a centroid-based methodology. For anomaly detection, the method compares the current system dynamics with...
Chapter
The combination of face-to-face experiences with online technology (Blended Learning) represents an effective approach in today’s educational context. The Blended Learning methodology offers the possibility of maintaining face-to-face teaching, reducing the number of students in classroom taking advantage of both modalities. Thus, in terms of labor...
Chapter
The interest in the problems related to optimal inventory management at a scientific level goes back to the start of the 20th century. The inventory is a necessary feature to control and to forecast the level of future demand. Inventory control techniques are very important components and most organizations can substantially reduce their costs. Thi...
Chapter
The 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...
Chapter
The rising trend of energy prices during recent times, triggered by fuels shortage, wars and the consequent economic crisis, has derived on the promotion of green policies. In this context, the technologies to exploit wind energy have experienced a remarkable increase. Besides, the intermittent availability of wind energy can be complemented by ene...
Chapter
Optimisation can be described as the process of finding optimal values for the variables of a given problem in order to minimise or maximise one or more objective function(s). Brain storm optimisation (BSO) algorithm is relatively new swarm intelligence algorithm that mimics the brainstorming process in which a group of people solves a problem toge...
Chapter
The current energy crisis coupled with concerns about climate change make renewable energies a priority. Solar energy being one of the most representative in Spain, being able to predict the behavior of a solar energy panel in the short term can be very useful to determine the coverage of this energy. To achieve this goal, four regression technique...
Chapter
The application of a hybrid intelligent model is applied to a boost converter with the aim of detecting the switching operating mode of the converter. Thus, the boost converter has been analyzed and the both operating mode are explained, distinguishing between Hard-switching and Soft-switching modes. Then, the dataset is created out of the data obt...
Article
The seven papers included in this special issue represent a selection of extended contributions presented at the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020, held in Burgos, Spain, September 2020, and organized by University of Burgos and BISITE and GICAP Research Groups. SOCO 2020...
Book
Las Jornadas de Automática (JA) son el evento más importante del Comité Español de Automática (CEA), entidad científico-técnica con más de cincuenta años de vida y destinada a la difusión e implantación de la Automática en la sociedad. Este año se celebra la cuadragésima tercera edición de las JA, que constituyen el punto de encuentro de la comunida...
Chapter
Las Jornadas de Automática (JA) son el evento más importante del Comité Español de Automática (CEA), entidad científico-técnica con más de cincuenta años de vida y destinada a la difusión e implantación de la Automática en la sociedad. Este año se celebra la cuadragésima tercera edición de las JA, que constituyen el punto de encuentro de la comunida...
Article
Full-text available
In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior and characteristics at each operating point. One of the fascinating aspects of batteries is their complicated behavior. The type of powe...
Article
This research work presents an artificial intelligence approach to predicting the hydrogen concentration in the producer gas from biomass gasification. An experimental gasification plant consisting of an air-blown downdraft fixed-bed gasifier fueled with exhausted olive pomace pellets and a producer gas conditioning unit was used to collect the who...
Book
En el panorama académico surgido de la implantación del conocido como Plan Bolonia, son multitud los estudios en los que se analiza el rendimiento de los estudiantes universitarios de titulaciones de ingeniería [1–4]. El análisis estadístico de estas pone de relieve que existen materias en las que el rendimiento académico presenta valores preocupan...
Article
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En este trabajo de investigación se presenta una estrategia de control inteligente implementada en un convertidor elevador con topología de medio puente. El sistema se usa para asegurar que el convertidor funcione en modo "Soft-Switching". El primer paso es realizar el análisis del convertidor de potencia, mostrando los dos posibles modos de funcio...
Article
Full-text available
The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following different strategic plans, playing special attention to wind generation. In this sense, the use of bicomponent materials in wind generator...
Article
Full-text available
The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows the supervision of the current state of an industrial plant and the consequent decision making possibilities. Then, the use of anomaly dete...
Article
Headache disorders can be considered as the predominant neurological condition. In the field of neurological diseases, migraine was estimated to cost a total of €27 billion per year for the loss through reduced work productivity in the European Community. Medical data and information in turn provide knowledge based on which physicians make scientif...
Article
Full-text available
In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the generated power taking into account the speed and the direction of the wind, the model developed in this paper only uses the speed of the w...
Article
The travelling salesman problem (TSP) belongs to the class of NP-hard problems, in which an optimal solution to the problem cannot be obtained within a reasonable computational time for large-sized problems. To address TSP, we propose a hybrid algorithm, called GA-TCTIA-LBSA, in which a genetic algorithm (GA), tour construction and tour improvement...
Article
The harmful consequences of fossil fuels use has resulted in the promotion of clean and renewable energies. During the past decades, green technologies have experienced a strong development, paying especial attention to wind energy, that covers a significant share of the electric energy demand. In this context, the main efforts are focused on the o...
Article
Full-text available
In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, is applied over each dataset, either to reduce the dimensionality of the original dataset or to face nonlinear datasets by generating a n...
Conference Paper
A consecuencia de recientes avances en las técnicas de conversión de energía térmica a trabajo mecánico basadas en procesos de expansión isotérmica, surge la necesidad de controlar la temperatura de los procesos de expansión. Dado que la velocidad de las máquinas térmicas tiene que ser alta para favorecer tanto la eficiencia térmica como el trabajo...
Conference Paper
The administration of anesthetics during a surgical procedure has been done historically in a manual way with the anesthesiologist deciding what amounts and at what rates to use. Over the last few decades there has been a rapid increase in the automation of many medical areas including anesthesiology, with that increased level of automation have al...
Article
Full-text available
Detecting intrusions in large networks is a highly demanding task. In order to reduce the computation demand of analysing every single packet travelling along one of such networks, some years ago flows were proposed as a way of summarizing traffic information. Very few research works have addressed intrusion detection in flows from a visualizations...
Article
Full-text available
The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the deployment of different one-class classifiers to prevent attacks over the Internet of Things (IoT) protocol Message Queuing Telemetry Transport...
Article
This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real data-set from a bio-climatic house named Sotavento placed on experimental wind farm and located in Xermade (Lugo) in Galicia (Spain) has been collected. Authors have chosen the t...
Chapter
The use of Proton-Exchange Membranes Fuel Cells is presented as a key alternative to face the increasing and concerning problems related to global warming. The international expansion of green policies, has resulted in the need of ensuring their quality and reliability performance. Although fuel cells can get to play a significant role, this techno...
Chapter
The coronavirus disease (COVID-19) has led to a serious health crisis with unprecedented socioeconomic consequences. Since World Health Organization’s pandemic declaration, most governments applied control policies such as lockdown, mobility restriction, social distancing and so on. In this context, adapting educational planning to that scenario ca...
Chapter
The number of attacks aimed at compromising smartphones in general, and Android devices in particular, is acknowledged as one of the main security concerns of these devices. Accordingly, a great effort has been devoted in recent years to deal with such incidents. However, scant attention has been paid to study the application of different visualiza...
Chapter
This document presents the design, construction and commissioning of a low cost test bench for monitoring and controlling the speed of a three-phase motor. This test bench will complete the offer of industrial models available in the Optimization and Control Laboratory of the Faculty of Engineering at University of A Coruña (UDC), in which students...
Chapter
This research paper is focused on security in IoT devices network, by providing a visual tool based on Beta Hebbian Learning (BHL) to easily identify attacks in the network to human experts. Contrary to Artificial Intelligent-driven solutions based on supervised learning BHL does not require labelled information. A testing environment of IoT device...
Chapter
Nowadays, Internet of things (IoT) systems add connectivity to physical and common objects offering new possibilities, this systems have special features such as the low capacity of the devices and behaviour of the protocols used. These facts make cybersecurity in this kind of systems is critical. The current work uses a dataset is based on denial...
Chapter
The hypercompetitive aspects in the contemporary business environment, such as technological progress, changing customers’ demands, economic cycles, and globalization, have the important influence in business organisation and supply chain in multinational companies and large enterprises. Supply chain occupies the enterprises with different informat...
Chapter
This research implements a dimensional reduction with the aim of improving the efficiency of a classification algorithm used for detection of different operation modes of a buck converter. The analysis of a half-bridge buck converter is done showing two different working state: hard-switching and soft-switching. A model for dimensional reduction is...
Chapter
Full-text available
In the original version of the book, the following belated correction has been incorporated: The misspelled author name “Francico Zayas-Gato” has been corrected to “Francisco Zayas-Gato” in the Frontmatter, the Backmatter, and Chapter 22.
Chapter
This research analyzes the issue of the climate change and smart grid solutions from the point of view of the efficiency in the field of the power electronics. The power distribution of the Spanish electric system has changed over the years. Moreover, it will further change with the introduction of new concepts, like the smart grids, opening new po...
Chapter
Currently, self-tuning Proportional-Integral-Derivative (PID) controllers are widely used in industrial control loops since they are adaptive controllers. However, this type of controllers often causes high settling times due to the identification process. Therefore, in the present research paper, a method to reduce settling times in self-tuning PI...
Conference Paper
Full-text available
El principal reto en los sistemas de educación superior en los dos últimos años, a raíz de la pandemia mundial de COVID-19, ha sido el poder mantener la calidad de la educación impartida con las restricciones de movilidad y aforos impuestas por las autoridades. Es por el ello que la transformación hacia actividades docentes no presenciales supone u...
Article
Full-text available
The present work deals with the problem of detecting Denial of Service attacks in an IoT environment. To achieve this goal, a dataset registered in an MQTT protocol network is used, applying dimension reduction techniques combined with classification algorithms. The final classifiers presents successful results.
Chapter
In this research, a study about the implementation of a hybrid intelligent model for classification applied to power electronics is presented. First of all, an analysis of the chosen power converter, half-bridge buck converter, has been done, differentiating between two operating modes: Hard-Switching and Soft-Switching. A hybrid model combining a...
Chapter
The purpose of a data clustering process is to group a set of objects into multiple classes so that the objects in each class – cluster are similar according to certain rules or criteria, where the definition of similarity can be problem dependent. This paper is focused on a new bio-inspired clustering approach based on a model for combining tabu s...
Chapter
Batteries are one of the most important component in an energy storage system; they are used mainly in electric mobility, consumer electronic and some other devices. Nowadays the common battery type is the liquid electrolyte solution, but it is expected that in some year, the solid state batteries increase the energy density. Despite the type of ba...
Chapter
The environmental impact caused by greenhouse gasses emissions derived from fossil fuels, gives rise to the promotion of green policies. In this context, geothermal energy systems has experienced a significant increase in its use. The efficiency of this technology is closely linked with factors such as ground temperature, weather and season. This w...
Chapter
La enfermedad del coronavirus (COVID-19) ha provocado una grave crisis de salud con consecuencias socio-económicas sin precedentes. Desde la declaración de pandemia por parte de la Organización Mundial de la Salud, la mayoría de los gobiernos aplicaron políticas de control como el confinamiento, la restriccón de la movilidad, el distanciamiento soc...
Chapter
The present research shows the implementation of a classification algorithm applied to power electronics with the aim of detection different operation modes. The analysis of a half-bridge buck converter is done, showing two different working state: hard-switching and soft-switching. A model based on classification methods through intelligence techn...
Chapter
The significant advance in smart devices connected to Internet has promoted the “Internet of Things” technology. However, the success of this term comes with the need of implementing Intrusion Detection Systems to face possible attacks. The present research deals with the intrusion detection in a network with Message Queuing Telemetry Transport pro...
Article
The high concern about climate change has boosted the promotion of renewable energy systems, being the wind power one of the key generation possibilities in this field. In this context, with the aim of ensuring the energy efficiency, the present work deals with the fault detection in the power electronic circuits of a wind generator system placed i...
Article
Over the last decades, the concept of cybersecurity has been gaining weight in many fields, such as industry or telecommunications, among others. Cybersecurity is defined as a set of processes and technologies designed to protect programs, computers, communication networks and data against attacks and/or unauthorized access, thus ensuring the confi...
Article
Full-text available
(1) Background: Modern medicine generates a great deal of information that stored in medical databases. Simultaneously, extracting useful knowledge and making scientific decisions for diagnosis and treatment of diseases becomes increasingly necessary. Headache disorders are the most prevalent of all the neurological conditions. Headaches have not o...
Article
Full-text available
The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation must follow a thorough test process to check their features at different operating points. In this circumstance, the appearance of any...
Book
Full-text available
Energy storage plays a key role in the modern global economy, in which variable renewable energies are growingly acquiring a major part. One option for energy storage is the production of hydrogen through electrolysis of water with renewable electricity, which can later be used again to produce electricity in a fuel cell, internal combustion engine...
Article
A study of the radon activity concentration was carried out at the School of Computer Science of Universidade da Coruña (UDC, Spain). For this purpose, building location, the type of soil and the construction materials were analysed. Subsequently, the radon activity concentration was determined using two different techniques: meas-urement in situ w...
Article
Full-text available
Material flow management refers to the analysis and specific optimization of the inventory‐production system. Material flow can be characterized as the organized flow of material in a production process with the required sequence determined by a technological procedure. The Milk run system assures the transportation of materials at the right time a...
Chapter
This article presents an innovative proposal for improving personalized student performance counselling. The methodology implemented applies clustering techniques in order to obtain group profiles of students with similar features. The research has been performed utilizing anonymized real academic grades from student data sets of the Polytechnic Sc...
Chapter
This paper addresses the problem of low academic performance in engineering studies. The data collection is carried out from the databases of the University of A Coruña, corresponding to the students who have completed the degrees of Industrial Engineering. The objective is checking if this data is sufficient to perform an evaluation and analysis o...
Chapter
The 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 differ...
Chapter
This work is focused on the study of hybrid one-class classification techniques, used for anomaly detection on a control level plant. The initial dataset is obtained from the system, working at different operating points, corresponding to three opening degrees of the tank drain valve. The issue of working in different plant configurations is solved...
Chapter
The present research work focuses on Intrusion Detection (ID), identifying “anomalous” patterns that may be related to an attack to a system or a network. In order to detect such anomalies, this present paper proposes the visualization of network flows for ID by applying a novel neural method called Beta Hebbian Learning (BHL). Four real-life traff...
Chapter
Material requirement planning (MRP) can be characterized as an organized flow of material in the production process with the required sequence determined by the technological procedure. This paper presents biological swarm intelligence in general, as well as firefly optimization for modelling MRP and delivery planning in the production system of au...
Chapter
Ensuring air quality should be a mandatory premise in every building, since if not, its occupants are on high risk. In fact, Radon pollutants are stated to be the second main cause among all lung cancer patients in the United States. Radon is a noble gas which seeps up through the ground and accumulates there, making it hard to be identified. A pro...
Chapter
The present research work deals the model creation obtaining for power generation prediction of a small-wind turbine, based on the atmospheric variables of its location. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm in the north of Spain. A deep study of the system and atmo...
Chapter
This research is oriented to compare the performance of two clustering methods in order to know what is the best one for archiving high quality hybrid models. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm, in Xermade (Lugo) in Galicia (Spain). Between several systems instal...
Article
Full-text available
es (A.J.B.); andujar@diesia.uhu.es (J.M.A.) * Correspondence: jose.rolle@udc.es; Tel.: +34-881-013-117 † These authors contributed equally to this work. Abstract: This work deals with the prediction of variables for a hydrogen energy storage system integrated into a microgrid. Due to the fact that this kind of system has a nonlinear behaviour, the...
Article
Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying...
Chapter
This work addresses the performance comparison of clustering techniques in order to achieve robust hybrid models. With this goal, three different clustering techniques have been tested. The experimental environment designed for this purpose is based on a real case study, a thermal solar generation system installed in a bio-climate house located in...
Chapter
Land typology classification is one of the main challenges of Land Registries all around the world. This process has historically been carried out by hand, requiring a large workforce and long processing times. Satellite imagery is shaking up the information retrieval methods for rural areas, where automatic algorithms have also been developed for...
Article
Full-text available
In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A model is set out in this research to predict the EMG (electromyogram) signal during surgery, in patients under general anaesthesia. This predi...
Chapter
The technological advances in the industrial sector have emphasized the importance of anomaly detection, which represents a critical task to a achieve a systems optimization. In this context, many different outlier detection techniques have been developed. The boundary methods have presented successfully results in many one-class problems. Specific...
Article
The present research is focused on the use of intelligent techniques to perform anomaly detection. This task represents a special concern in complex systems that operate in different regimes. Then, this work proposes a hybrid intelligent classifier based on one-class techniques, capable of detecting anomalies of the different operating ranges. The...
Chapter
Power cells have presented an increasing popularity during last decades due to its importance in electric mobility, electronic devices and energy management systems. The international expansion of green policies to promote electric cars and renewable energies, has resulted in the need of ensuring their quality and reliability performance. In this c...
Chapter
Full-text available
We present an application of Convolutional Neural Networks (CNN) to atmospheric tomography that is required for compensating optical aberrations introduced by the atmospheric turbulence using dedicated tomographic Adaptive Optics (AO) systems. We compare the state of the art Minimum Mean Square Error (MMSE) reconstructor with a Multi-Layer Perceptr...
Chapter
IoT (Internet of Things) alludes to many different devices and systems connected to Internet, being 5 billion the number of these devices working around the world actually. The security policies applied to this kind of systems can be improve due to their behaviour, usually associated to their low price and low computing capacity. This work addresse...
Chapter
The present research work deals the model creation obtaining for power generation prediction of a small-wind turbine, based on the atmospheric variables of its location. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm in the north of Spain. A deep study of the system and atmo...
Chapter
The detection of anomalies (affecting hardware or software) is an open challenge for cyber-physical systems in general and robots in particular. Physical anomalies related to the hardware components of such systems have been widely researched. However, scant attention has been devoted so far to study the anomalies affecting the software components....
Chapter
This paper perform a comparison between different clustering algorithms, that their optimal number of clusters has been calculated throw different performance measurements. The comparison takes into account the prediction of the thermal solar panel output temperature to conclude what is the best clustering division. The used dataset is extracted fr...