340 research outputs found

    SEGMENTACIÓN DE LUGARES DISPONIBLES EN ESTACIONAMIENTOS HACIENDO USO DE REDES NEURONALES PULSO-ACOPLADAS (PARKING SLOTS SEGMENTATION USING PULSE-COUPLED NEURAL NETWORKS)

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    Resumen Algunos de los principales retos en los sistemas de asistencia a estacionamientos basados en visión artificial que están dedicados a la segmentación de lugares disponibles, son las diferentes afectaciones que se pueden presentar, como por ejemplo las variaciones de luz, generación de sombras, así como las diferentes tonalidades de color que presentan los automóviles; los cuales pueden afectar la detección. En este trabajo se propone un algoritmo de identificación basado en el análisis y procesamiento de imágenes en el espacio de color HSV, haciendo uso de un algoritmo de redes neuronales pulso-acopladas (PCNN) en su forma simplificada a través del modelo de intersección cortical (ICM). El algoritmo propuesto está dividido en tres partes, análisis de la imagen en HSV, segmentación y detección, el cual se evaluó haciendo uso de diferentes imágenes capturadas en un estacionamiento. Se obtuvieron los valores de los parámetros de la red ICM para el proceso de segmentación. Los resultados obtenidos muestran que el algoritmo propuesto permite reducir la susceptibilidad a los efectos de tonalidad que presentan los automóviles, así como los cambios ligeros de iluminación, consiguiendo así la detección de automóviles con diferentes colores bajo las condiciones del día. Palabra(s) Clave: Estacionamiento, reconocimiento, redes neuronales pulso-acopladas, segmentación. Abstract The main challenges in parking lots assistant systems based on artificial vision, which are dedicated to the segmentation of available places into parking lots, are the different effects that can occur such as, changes in luminosity, shadows produced by cars, as well as different color hues that can affect detection. In this work, an identification algorithm based on the analysis and processing of images in the HSV color space is proposed, using pulse-coupled neural networks (PCNN) algorithm in its simplified form, the intersection cortical model (ICM). The proposed algorithm is divided in three parts, HSV image analysis, segmentation, and detection, which was evaluated using different images captured in parking lot. The ICM network parameter values were obtained for the segmentation process. The results show that proposed algorithm allows to reduce the susceptibility presented by cars, as well as slight changes in lighting, thus achieving the detection of cars with different colors under daytime conditions. Keywords: Parking lot, pulse-coupled neural networks, survey, segmentation

    DETECCIÓN DE AUTOMÓVILES EN UN ESTACIONAMIENTO UTILIZANDO RED ICM Y GLCM (CAR DETECTION IN A PARKING LOT USING ICM AND GLCM)

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    Resumen Los sistemas de visión por computadora cada vez están siendo empleados con mayor frecuencia para desempeñar tareas en ambientes urbanos, siendo la detección de automóviles uno de los principales objetivos, ya que permiten ser utilizados para diferentes aplicaciones, por ejemplo, para identificar tráfico vehicular o bien identificar lugares disponibles en estacionamientos, entre otras aplicaciones; algunos inconvenientes que se presentan en la detección de automóviles, es la variedad de tonalidades de color que pueden presentar los autos, así como los efectos de oclusión y cambios de posición de la cámara de captura. En este trabajo se presenta un método de detección de automóviles en un estacionamiento basado en el uso de red ICM para segmentación y la GLCM en la extracción de características de textura para el reconocimiento de los automóviles. Se realizaron pruebas con 57 imágenes obteniendo una efectividad del 90% en la detección de los automóviles. Palabras Clave: aprendizaje, detección, reconocimiento, segmentación, textura. Abstract Computer vision systems have been increasing the use for urban environments tasks, where car detection is one of the principal objectives, because it lets been using for different applications like, vehicular traffic detection, or available parking lots at parking lots, and others more. Some inconvenient presented during car detection are, the color variety that cars can present, as well as occlusion effects, and camera position changes. This work presents a method for car detection in a parking lot based in the use of ICM for segmentation and GLCM on texture features extraction used for car recognition. Test were performed using 57 images, reaching 90% effectivity on the car detection. Keywords: detection, learning, recognition, segmentation, texture

    Theoretical and experimental characterization of TiO2 thin films deposited at oblique angles

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    The microstructural features of amorphous TiO2 thin films grown by the electron beam physical vapour deposition technique at oblique angles have been experimentally and theoretically studied. The microstructural features of the deposited films were characterized by considering both, the column tilt angle and the increase of the column thickness with height. A Monte Carlo model of the film growth has been developed that takes into account surface shadowing, short-range interaction between the deposition species and the film surface, as well as the angular broadening of the deposition flux when arriving at the substrate. The good match between simulations and experimental results indicates the importance of these factors in the growth and microstructural development of thin films deposited at oblique angles.Ministerio de Innovación, MAT 2007-65764, CONSOLIDER INGENIO 2010-CSD2008-00023, PIE 200960I132Junta de Andalucía TEP2275, TEP5283, P07-FQM-03298, FQM-690

    Multitarget-directed ligands combining cholinesterase and monoamine oxidase inhibition with histamine H3R antagonism for neurodegenerative diseases

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    J.M.C. thanks MINECO (SAF2012-33304 and SAF2015-65586-R). J.M.C., F.L.M., and A.R. thank UCJC for grants 2015-12, 2014-35, and 2015-21, respectively. J.E. thanks the Fondo de Investigaciones Sanitarias (FIS) (ISCIII/FEDER) (Programa Miguel Servet: CP14/00008 and PI16/00735) and Fundación Mutua Madrileña. O.S. and J.J. thank MHCZ-DRO (UHHK 00179906) for support. R.R.R., H.S., and J.M.C. acknowledge the EU COST Actions CM1103 and CM15135. E.P. and H.S. thank the German Research Foundation (DFG; PRO 1405/2-2, PRO 1405/4-1, SFB 1039 A07, and INST208/664-1).The therapy of complex neurodegenerative diseases requires the development of multitarget-directed drugs (MTDs). Novel indole derivatives with inhibitory activity towards acetyl/butyrylcholinesterases and monoamine oxidases A/B as well as the histamine H3 receptor (H3R) were obtained by optimization of the neuroprotectant ASS234 by incorporating generally accepted H3R pharmacophore motifs. These small-molecule hits demonstrated balanced activities at the targets, mostly in the nanomolar concentration range. Additional in vitro studies showed antioxidative neuroprotective effects as well as the ability to penetrate the blood–brain barrier. With this promising in vitro profile, contilisant (at 1 mg kg−1 i.p.) also significantly improved lipopolysaccharide-induced cognitive deficits.PostprintPeer reviewe

    Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

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    The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

    Effective In Vitro Control of Two Phytopathogens of Agricultural Interest Using Cell-Free Extracts of Pseudomonas fluorescens and Chitosan

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    A biofungicide is a natural product that can be derived from various sources such as, among others, microorganisms, higher plants, animal products, phytochemicals, semiochemicals, and antagonist microorganisms. One of the most important approaches for the production of biofungicides is the combination of biocontrol agents. This study showed the inhibition growth of Alternaria alternata and Fusarium solani treated with cell-free extracts of P. fluorescens. Using thin-layer chromatography and plate assays it was also demonstrated that the cell-free extracts of P. fluorescens contained siderophores and derivates of 4-diacetylphloroglucinol and phenazine. Moreover, the combination of cell-free extracts of P. fluorescens and chitosan [50–1.5% (v/v)] had a synergistic effect since they notably inhibited the mycelial growth of A. altenata and F. solani. Various morphological alterations to the mycelia and conidia of the treated fungi as a result of this combination were also observed. The present study could be a starting point to control other fungal phytopathogens using different cell-free extracts and chitosan as biocontrol agents

    El Derecho y los sistemas jurídicos contemporáneos de la era global

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    Este libro se enmarca en una colaboración entre la Facultad de Derecho y Ciencias Sociales de la Universidad Autónoma del Estado de Morelos de México y el Departamento de Ciencias Jurídicas de la Facultad de Humanidades de la Universidad Centroamericana de Nicaragua. Los distintos capítulos de esta obra fueron presentados como ponencias en el Quinto Congreso Internacional de Derecho y Globalización; a partir de este evento, el Departamento de Ciencias Jurídicas de la Universidad Centroamericana a través del área de Publicaciones, asumió la edición de la obra, tomando el desafío de editar la propuesta y encargándose del dictamen de los diferentes artículos científicos por parte de expertos académicos mediante la plataforma de su Revista de Derecho reconocida a nivel mundial a través de su indexación en bases de datos de prestigio. De esta forma, el objetivo de esta obra es contribuir al acervo de la literatura jurídica en los tópicos que han cobrado relevancia mediante la nueva dinámica y configuración impuesta por la Globalización
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