Prediction of each road deterioration considering traffic and the interaction with other surface deteriorations, using automated learningmachine technics

For road user, the pavement is a surface that must allow the circulation of mixed traffic, in conditions of safety and comfort, under any climatic condition, for a long time. Once the pavement is in service, it begins to have deteriorations that can cause that the user modifies their behavior and start driving at a slower speed in order to maintain traffic safety conditions; this circumstance causes travel times increasing and therefore circulation costs increase. There are different deteriorations to consider, roughness, road surface adherence, rutting, cracking and potholes. Periodic deterioration evaluation and prediction modelling allows that corrective actions can be anticipated, so that road quality does not fall below acceptability limits. To prioritize improvements and routine maintenance, it is necessary to develop adequate tools to predict the deterioration evolution, which can be incorporated into the pavement management systems used to prepare multi-year works and maintenance plans. Periodic observations of surface deteriorations of sections in service located on routes of Littoral region of Argentina were usedin the paper. It was possible to develop predictive models using Support Vector Machine Regression SVR and Random Forest Regression RFR; these are learning machine tools, which can be used to solve estimation problems of multidimensional functions. First a model to predict cracking was developed. When it was optimized, the model to predict rutting was realized. And at the end, the model to predict roughness was adjusted, using cracking and rutting models developed previously. Results indicate that SVR and RFR regression models have the capacity to perform training and prediction that help to develop road surface deterioration models

Special construction of Atanassov’s intuitionistic fuzzy S-implications that maintain the Atanassov’s intuitionistic index

In this paper we present a method for the construction of Atanassov’s intuitionistic fuzzy S-implications that satisfy the following property: if in the intuitionistic fuzzy conditional the antecedent is equal to the consequent, then the Atanassov’s intuitionistic fuzzy implication operator has the same Atanassov’s intuitionistic fuzzy index as the antecedent and the consequent

One image reduction algorithm for RGB color images

We investigate the problem of combining or aggregating several color values given in coding scheme RGB. For this reason, we study the problem of averaging values on lattices, and in particular on discrete product lattices. We study the arithemtic mean and the median on product lattices. We apply these aggregation functions in image reduction and we present a new algorithm based on the minimization of penalty functions on discrete product lattices

Desarrollo y empleo de juegos educativos on-line destinados al auto-entrenamiento y auto-evaluación

La implantación del EEES, está originando cambios en el modelo docente, cada vez más orientado al trabajo autónomo del alumno. Los contenidos electrónicos que apoyan el proceso de aprendizaje también deben, por tanto, orientarse a facilitar el aprendizaje autónomo, como por ejemplo los procesos de autoevaluación y auto-entrenamiento por parte del estudiante. Por ello, parece adecuado desarrollar contenidos electrónicos que motiven y a la vez entretengan de forma amena al alumnado durante su aprendizaje autónomo. En esta contribución, proponemos una serie de juegos educativos electrónicos como herramienta que haga de la auto-evaluación y del autoentrenamiento un proceso ameno y entretenido.Peer Reviewe

Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making

The file attached is this record is the authors pre-print. The publishers version of record can be found by following the DOI link

Endocrown de composite en molar endodónticamente tratado

Tradicionalmente, la devolución de función y estética a dientes tratados endodónticamente con extensa perdida coronaria, se ha logrado fabricando coronas totales con pernos intrarradiculares. Con el advenimiento de la odontología adhesiva, es posible restaurarlas con onlays y overlays, usando la extensión de la cámara pulpar como recurso de retención. Las restauraciones endocrown están formadas por un monobloque que contiene la porción coronaria integrada a una proyección apical que llena la cámara pulpar.Facultad de Odontologí

Neuroimagen estructural y funcional en las enfermedades priónicas humanas

INTRODUCTION: Prion diseases are neurodegenerative disorders resulting from the accumulation of a misfolded isoform of the cellular prion protein (PrPc). They can occur as acquired, sporadic or hereditary forms. Although prion diseases show a wide range of phenotypic variations, pathological features and clinical evolution, they are all characterised by a common unfavourable course and a fatal outcome. REVIEW SUMMARY: Some variants, such as kuru, have practically disappeared, while others, for example the variant Creutzfeldt-Jakob (vCJD) or those attributable to iatrogenic causes, are still in force and pose a challenge to current medicine. There are no definitive pre-mortem diagnostic tests, except for vCJD, where a tonsil biopsy detects 100% of the cases. For this reason, diagnostic criteria dependent on statistical probability have had to be created. These require complementary examinations, such as an electroencephalogram (EEG) or the detection of 14-3-3 protein in cerebrospinal fluid (CSF). Only the "pulvinar sign" in magnetic resonance imaging (MRI) has been included as a vCJD diagnostic criterion. The present review discusses neuroimaging findings for each type of prion disease in patients with a definitive histopathological diagnosis. CONCLUSIONS: The aim is to define the usefulness of these complementary examinations as a tool for the diagnosis of this family of neurodegenerative diseases

Solar active envelope module with an adjustable transmittance/absorptance

A solar active envelope module with a high flexibility degree is proposed in this paper. The transparent module controls the day-lighting of the room, improving the indoor environment, while absorbing the superfluous solar energy inside. That energy is used to increase the efficiency of heating, ventilation, and the air-conditioning (HVAC) system of the building. This is carried out through a fine control of the absorptance of the envelope module. The active envelope module consists of three glazed chambers with advanced coatings and frames to assure a minimum thermal transmittance while allowing transparency. A fluid containing heat-absorbing nanoparticles flows inside the central chamber and is heated up due to the impinging solar energy. Unlike other systems proposed in the past, which included transparency control systems based on complex filters and chemical processes, the absorption of the module is controlled by the variation of the thickness of the central chamber with a mechanical device. That is, varying the thickness of the central chamber, it allows controlling the absorptance of the whole system and, as a result, indoor day-lighting and thermal loads. Therefore, a new system is proposed that enables to

Comparing heat flow models for interpretation of precast quadratic pile heat exchanger thermal response tests

This paper investigates the applicability of currently available analytical, empirical and numerical heat flow models for interpreting thermal response tests (TRT) of quadratic cross section precast pile heat exchangers. A 3D finite element model (FEM) is utilised for interpreting five TRTs by inverse modelling. The calibrated estimates of soil and concrete thermal conductivity are consistent with independent laboratory measurements. Due to the computational cost of inverting the 3D model, simpler models are utilised in additional calibrations. Interpretations based on semi-empirical pile G-functions yield soil thermal conductivity estimates statistically similar to those obtained from the 3D FEM inverse modelling, given minimum testing times of 60 hours. Reliable estimates of pile thermal resistance can only be obtained from type curves computed with 3D FEM models. This study highlights the potential of applying TRTs for sizing quadratic, precast pile heat exchanger foundations

Theoretical estimates of the anapole magnetizabilities of C4H4X2 cyclic molecules for X=O, S, Se, and Te

Calculations have been carried out for C4H4X2 cyclic molecules, with X=O, S, Se, and Te, characterized by the presence of magnetic-field induced toroidal electron currents and associated orbital anapole moments. The orbital anapole induced by a static nonuniform magnetic field B, with uniform curl C =∇× B, is rationalized via a second-rank anapole magnetizability tensor aαβ , defined as minus the second derivative of the second-order interaction energy with respect to the components Cα and Bβ. The average anapole magnetizability a equals −χ, the pseudoscalar obtained by spatial averaging of the dipole-quadrupole magnetizability χα,βγ . It has different sign for D and L enantiomeric systems and can therefore be used for chiral discrimination. Therefore, in an isotropic chiral medium, a homogeneous magnetic field induces an electronic anapole Aα, having the same magnitude, but opposite sign, for two enantiomorphs.Fil: Pagola, Gabriel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Ferraro, Marta Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Provasi, Patricio Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnologica; ArgentinaFil: Pelloni, Stefano. Universidad de Modena y Reggio Emilia. Departamento de Química; ItaliaFil: Lazzeretti, Paolo. Universidad de Modena y Reggio Emilia. Departamento de Química; Italia; Itali