Antonio Bello-García

• PhD
• Professor (Full) at University of Oviedo

Context . Deep learning (DL) techniques are a promising approach among the set of methods used in the ever-challenging determination of stellar parameters in M dwarfs. In this context, transfer learning could play an important role in mitigating uncertainties in the results due to the synthetic gap (i.e. difference in feature distributions between...

This work explores different artificial intelligence based alternatives to create automatic classification system based on salience maps of coil surface when heavy unbalanced datasets are considered and where the labels have been assigned by human operators, considering different complex rules. After testing the possibilities of classifier setup pr...

The large amounts of astrophysical data being provided by existing and future instrumentation require efficient and fast analysis tools. Transfer learning is a new technique promising higher accuracy in the derived data products, with information from one domain being transferred to improve the accuracy of a neural network model in another domain....

The large amounts of astrophysical data being provided by existing and future instrumentation require efficient and fast analysis tools. Transfer learning is a new technique promising higher accuracy in the derived data products, with information from one domain being transferred to improve the accuracy of a neural network model in another domain....

Cider production requires detailed knowledge of the apple varieties used. Of the hundreds of varieties of cider and dessert apples in Spain, only a few are accepted for producing cider under the “Sidra de Asturias” protected designation of origin. The visual characteristics of many of these varieties are very similar, and only experts can distingui...

Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y spectral types. Most of them have been discovered using wide-field imaging surveys, for which the Virtual Observatory (VO) has proven to be of great utility. We aim to perform a search for UCDs in the ent...

Context. Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y spectral types. Most of them have been discovered using wide-field imaging surveys, for which the Virtual Observatory (VO) has proven to be of great utility. Aims. We aim to perform a search for...

Accurate Teff and [M/H] determinations for the CARMENES M dwarfs from deep transfer learning We present a new technique for deriving photospheric stellar parameters of M dwarfs with high accuracy, the so-called transfer learning. There, information from one domain is being transferred to improve the accuracy of a neural network model in another do...

Deriving metallicities for solar-like stars follows well-established methods, but for cooler stars such as M dwarfs, the determination is much more complicated due to forests of molecular lines that are present. Several methods have been developed in recent years to determine accurate stellar parameters for these cool stars ( T eff ≲ 4000 K). Howev...

Deriving metallicities for solar-like stars follows well-established methods, but for cooler stars such as M dwarfs, the determination is much more complicated due to forests of molecular lines that are present. Several methods have been developed in recent years to determine accurate stellar parameters for these cool stars ($T_{\rm eff} \lesssim$...

The implementation of the BIM in the AEC sector, both in companies and in academic institutions, is taking place mainly through the knowledge and handling of the software that makes its implementation possible. There are several public and private initiatives that provide professionals with workshops, courses, degree programs and even master’s prog...

We construct an individual convolutional neural network architecture for each of the four stellar parameters effective temperature (Teff), surface gravity (log g), metallicity [M/H], and rotational velocity (v sin i). The networks are trained on synthetic PHOENIX-ACES spectra, showing small training and validation errors. We apply the trained netwo...

In the light of more and more new instrumentation to get a deeper insight into the universe, tons of data are collected. While traditional machine-learning methods have been used in processing stellar spectral data, such large new datasets are better handled with Deep Learning (DL) techniques. In this work, we present a Deep Convolutional Neural Ne...

Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and predict stellar parameters such as effective temperature, surface gravity, metallicity, and rotational velocity. W...

Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and predict stellar parameters such as effective temperature, surface gravity, metallicity, and rotational velocity. W...

This paper aims to assess the 9 th SDG: Industry, Innovation and Infrastructure, are integrated within the public discourse in social media of FinTech firms. Using Social Media Analysis (SMA), we tracked the user-generated content published in Twitter. Based on the empirical material of 32,716 user-generated twits, we identify in average that 8.175...

Every day, the BIM Methodology (Building Information Modeling) is getting closer to the companies and other members of the AEC sector (Architecture, Engineering and Construction), as well as to educational institutions that are starting to train new professionals on this matter. The roadmap set by the es.BIM Commission establishes the mandatory use...

Research on electoral events in conjunction with social media provides opportunities to describe an interesting phenomenon that can be analyzed using sentiment analysis techniques. The goal of the study is to analyze the support of political parties during electoral periods from Twitter comments, including 250,000 tweets regarding the Spanish gener...

Estimating the atmospheric parameters of M-type stars has been a difficult task due to the lack of simple diagnostics in the stellar spectra. We aim at uncovering good sets of predictive features of stellar atmospheric parameters (Teff, log(g), [M/H]) in spectra of M-type stars. We define two types of potential features (equivalent widths and integ...

In cases of natural disasters, epidemics or even in dangerous situations like an act of terrorism, battle fields, a shooting or a mountain accident, finding survivors is a challenge. In these kind of situations it is sometimes critical to know if a person has vital signs or not, without the need to be in contact with the victim, thus avoiding jeopa...

Among all the optimization techniques, the genetic algorithms (GAs) stand out because of their mathematical simplicity, the no necessity of information about the objective function or the constraint functions, and the possibility of working with any type of structure. Although these features suggest an enormous flexibility for working with differen...

El Open Data consiste en poner a disposición del público los datos de carácter público. Esto, que parece una obviedad, no siempre es sencillo, pues supone un evidente esfuerzo tecnológico en digitalizar y clasificar la información. Dentro de la comunidad del ecosistema de datos abiertos y reutilización de la información del sector público aparecen...

Context. Parallaxes for 331 classical Cepheids, 31 Type II Cepheids, and 364 RR Lyrae stars in common between Gaia and the H ipparcos and Tycho -2 catalogues are published in Gaia Data Release 1 (DR1) as part of the Tycho - Gaia Astrometric Solution (TGAS). Aims. In order to test these first parallax measurements of the primary standard candles of...

Parallaxes for 331 classical Cepheids, 31 Type II Cepheids and 364 RR Lyrae stars in common between Gaia and the Hipparcos and Tycho-2 catalogues are published in Gaia Data Release 1 (DR1) as part of the Tycho-Gaia Astrometric Solution (TGAS). In order to test these first parallax measurements of the primary standard candles of the cosmological dis...

Context. The first Gaia Data Release contains the Tycho-Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which,besides the position and photometry, the proper motion and parallax are calculated using Hipparcos and Tycho-2 positions in 1991.25 as priorinformation.Aims. We investigate the scientific potential and limita...

Parallaxes for 331 classical Cepheids, 31 Type II Cepheids and 364 RR Lyrae stars in common between Gaia and the Hipparcos and Tycho-2 catalogues are published in Gaia Data Release 1 (DR1) as part of the Tycho-Gaia Astrometric Solution (TGAS). In order to test these first parallax measurements of the primary standard candles of the cosmological dis...

Context. The first Gaia Data Release contains the Tycho - Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which, besides the position and photometry, the proper motion and parallax are calculated using H ipparcos and Tycho-2 positions in 1991.25 as prior information. Aims. We investigate the scientific potential and...

Context. The first Gaia Data Release contains the Tycho-Gaia Astrometric Solution (TGAS). This is a subset of about 2 million stars for which, besides the position and photometry, the proper motion and parallax are calculated using Hipparcos and Tycho-2 positions in 1991.25 as prior information. Aims. We investigate the scientific potential and lim...

The determination of stellar atmospheric parameters from spectra suffers the so-called curse of dimensionality problem, which is related to the higher number of input variables (flux values) compared to the number of spectra available to fit a regression model (this collection of examples if known as the training set). This work evaluates the utili...

Gaia is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific...

Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A summary of Gaia DR1 is presented along with illustrations of the scientific quality of the data, followed by a discussion of the limitations d...

Gaia is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific...

Abrasive water jet milling (AWJM) is a new way to perform controlled depth milling especially for hard materials, but it is not yet enough reliable because of large variety of process parameters and complex footprint geometries that are not well mastered. In order to master the milling device in AWJM, a deep study on the footprint of a single path...

Gaia is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific...

The optical efficiency of parabolic trough collectors depends on their geometric agreement with the parabolic profile design which, in turn, largely depends on the structure supporting the collector. A method for assessing the degree of agreement between the measured geometry and the theoretical design surface is described, which takes into account...

The aim of this work is to describe the computer simulation of the laminar flow through a nozzle in a rubber extrusion process by the finite volume method (FVM). The liquid rubber is a highly compliant material, whose behavior is not described by the Newtonian constitutive relations, and whose underlying physics is not yet completely understood. Th...

Aims. We present an improved method for automated stellar variability classification, using fundamental parameters derived from high resolution spectra, with the goal to improve the variability classification obtained using information derived from CoRoT light curves only. Although we focus on Giraffe spectra and CoRoT light curves in this work, th...

A part-to-part video matching algorithm, based on the cross correlation of the similarity-invariantly transformed intensity of motion curves is proposed, including a likelihood estimation for video similar- ity. Applications are growing as the use of videos for communications is increasing. This algorithm works with featured based video descriptors...

This table contains the parameters used to classify CoRoT targets observed with the Giraffe spectrograph at the Very Large Telescope VLT. It contains both parameters derived from the photometric time series and physical parameters (Teff and logg) derived from the spectra. We also include the final classification obtained with these parameters. (1...

The door-closing process can reinforce the impression of a solid, rock-proof, car body or of a rather cheap, flimsy vehicle. As there are no real prototypes during rubber profile bidding-out stages, engineers need to carry out non-linear numerical simulations that involve complex phenomena as well as static and dynamic loads for several profile can...

When a new design for a solar collector is developed it is necessary to guarantee that its intercept factor is good enough to produce the expected thermal jump. This factor is directly related with the fidelity of the trough geometry with respect to its theoretical design shape. This paper shows the work carried out to determine the real shape and...

In this work an elitist genetic algorithm (GA) developed by the authors and implemented in an advanced analysis program of three-dimensional steel structures (named ESCAL3D) is evaluated in order to compare the optimization results over a typical portal-frame structure. The minimum weight that satisfies the ultimate limit states of different applic...

Research interest in the mechanical behaviour of soils is growing as a result of an increasing number of geomechanical problems involving consolidation effects. The main aim of this paper is to validate and to solve a model for consolidation of an elastic saturated soil with incompressible fluid and variable permeability. Firstly, we prove the exis...

The main aim of this paper is to validate and to solve a model for consolidation of an elastic saturated soil with incompressible fluid. Firstly, we prove the existence and uniqueness of the solution of the variational problem corresponding to an initial and boundary value problem (IBVP): a special case of the Biot’s ‘consolidation of clay’ model (...

Non-isothermal flow of a non-Newtonian fluid is the most complex and important problem in the rubber's extrusion process. In this way, the aim of this work is to describe the computer modeling of the laminar flow through a nozzle by the finite volume method (FVM). The basis of the general mathematical treatment of flow processes are the balance equ...

Specific problems regarding the sealing of doors and windows for the automotive industry will be considered in this work. Two main problems must be assessed for predicting sealing capabilities and close-up forces involved, firstly it is mandatory to identify the chemical and the mechanical properties for the rubber used on profiles. In addition, la...

Detección, diferenciación y digitalización automática de cubiertas vegetales en entornos urbanos a través de imágenes en espectro visible e infrarrojo (2) Seresco S.A., angelaa@seresco.es Resumen Los Sistemas de Información Geográfica (SIG) se han convertido en una herramienta de gestión y análisis indispensable para empresas privadas y administrac...

In this work an elitist genetic algorithm (GA) developed by the authors and implemented in an advanced analysis program of three-dimensional steel structures (named ESCAL3D) is evaluated in order to compare the optimization results over a typical portal-frame structure. The minimum weight that satisfies the ultimate limit states of different applic...

This paper shows the implementation of an elitist genetic algorithm (GA) that, when applied to 2D- and 3D- steel structures, is able to obtain structural elements with minimum weight and satisfy the safety factors or coefficients (Ultimate Limit States) of the applicable building code. To this end, an objective function has been defined that consid...

In this paper an elitist genetic algorithm (GA) developed by the authors is compared with common commercial solutions for complex structural optimization. After its prior validation on two-dimensional (2D) structures, the GA was tuned and improved in order to obtain structural elements with minimum weights that satisfy the ultimate limit states of...

This paper shows the implementation of an elitist genetic algorithm that, when applied to steel structures, is able to obtain structural elements with minimum weight and satisfy the safety factors or coefficients (ultimate limit states) of the applicable building code. To this end, a modified objective function has been defined that considers the c...

In this paper, the authors propose a new and intelligent method that is useful for the design of specific tools for rubber extrusion. The methodology developed can be used with several types of materials, such as rigid monocomponent profiles, monocomponent glass run channels, bi- or multi-component profiles, and so on. The underlying idea is that,...

In the nature, the individuals have to be adapted to their environment in order to survive in a process called evolution, in which those characteristics that do adequate one more individual to compete they are preserved when reproduces themselves, and those characteristics that they do it weaker they are eliminated. Such characteristics are control...

RESUMEN Las instalaciones industriales suponen un foco de posibles riesgos ambientales y contra la población. En esta línea, la Unión Europea ha comenzado la aplicación de la directiva SEVESO II que obliga a las empresas a examinar sus riesgos externos. Uno de los aspectos fundamentales que establece esta normativa es el desarrollo de análisis y es...

We present an open supervision system capable of monitoring two generation groups in a power plant (about 1200 analogic variables per group) with a sampling period of one minute. The collected data is stored in a relational database such as Oracle with HHCODE technology. As far as this subsystem is a key for process monitoring, the database operate...

A generic approach to subsidence prediction based on the influence function method is presented. The changes proposed to the classical approach are the result of a previous analysis stage where a generalization to the 3D problem was made. In addition other hypothesis in order to relax the structural principles of the classical model are suggested....

En este trabajo se pretende analizar la problemática asociada a cada una de estas etapas, tanto desde el punto de vista formal como desde el punto de vista aplicado. Así, para el cálculo de todos los parámetros se ha desarrollado una metodología de trabajo, que permite realizar la primera etapa de predicción con la mayor fiabilidad posible, mediant...

We present in this study an algorithm which, based on the contour lines that define the relief of a terrain, permit us to automatically triangulate a given flat region and from this, approximate the underlying topographical surface through a polyhedral network of triangles projected from those obtained for the flat region.

Resumen El empleo de sistemas de información geográfica estuvo inicialmente asociado a cartografías de grandes escalas y limitado a sectores concretos (estudios climáticos, gestión de recursos naturales, planificación urbanística y gestión de infraestructuras,…). Sin embargo, las enormes posibilidades de aplicación que ofrece la referenciación espa...