Reflexión sobre las técnicas de tipificación de los llamados "delitos de peligro" en el moderno derecho penal

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Sistema automático para el monitoreo operacional de los desmontes usando imágenes satelitales

En este trabajo se presenta la linea de Investigación en desarrollo en el Centro Regional de Geomática - CEREGEO, Facultad de Ciencia y Tecnología de la Universidad Autónoma de Entre Ríos - UADER. Esta tiene como objetivo el desarrollo de un sistema de software automático para el monitoreo operacional de los desmontes en la cobertura vegetal del bosque nativo del centro-norte de Entre Ríos, utilizando imágenes satelitales Landsat. La metodología informatizada para la detección de los desmontes, articula técnicas de procesamiento de imágenes desarrolladas en Python y Matlab. Esta posibilitará el monitoreo automático operacional a partir de imágenes satelitales adquiridas mensualmente. Las técnicas informatizada permitirán la transformación no supervisada de datos continuos en datos temáticos agrupados en Monte, Desmonte y No monte. Los resultados del proyecto permitirán establecer en el futuro un sistema automático operacional de monitoreo de la cobertura de bosques, generando alertas automáticas de desmontes y el mapeo mensual de los bosques.Eje: Innovación en Sistemas de Software.Red de Universidades con Carreras en Informática (RedUNCI

Almacenamiento y procesado automático de imágenes satelitales para proyectos de monitoreo de bosque nativo a escala regional y local

La necesidad de información sobre el estado de conservación y la dinámica de cambios en coberturas de bosque nativo de nuestro país implica el procesamiento de grandes volúmenes de datos, de diferentes fuentes y de manera oportuna, por lo que es indispensable tender a la automatización de procesos. En este trabajo se presentan los objetivos, la metodología, se discuten las características y el impacto a escala local y regional que tienen las líneas de investigación sobre automatización de procesos de monitoreos de estado actual y cambios en la cobertura de suelo. La formación de recursos humanos en esta línea y el trabajo multidisciplinario se plantean como necesidades para abordar estas líneas a futuro.Eje: Base de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Tailoring activated carbons for the development of specific adsorbents of gasoline vapors

The specific adsorption of oxygenated and aliphatic gasoline components onto activated carbons (ACs) was studied under static and dynamic conditions. Ethanol and n-octane were selected as target molecules. A highly porous activated carbon (CA) was prepared by means of two processes: carbonization and chemical activation of olive stone residues. Different types of oxygenated groups, identified and quantified by TPD and XPS, were generated on the CA surface using an oxidation treatment with ammonium peroxydisulfate and then selectively removed by thermal treatments, as confirmed by TPD results. Chemical and porous transformations were carefully analyzed throughout these processes and related to their VOC removal performance. The analysis of the adsorption process under static conditions and the thermal desorption of VOCs enabled us to determine the total adsorption capacity and regeneration possibilities. Breakthrough curves obtained for the adsorption process carried out under dynamic conditions provided information about the mass transfer zone in each adsorption bed. While n-octane adsorption is mainly determined by the porosity of activated carbons, ethanol adsorption is related to their surface chemistry, and in particular is enhanced by the presence of carboxylic acid groups.This work is supported by the MICINN-FEDER, project CTM2010-18889

Imágenes satelitárias para detección y monitoreo operacional de los cambios en el bosque nativo del norte de la provincia de Entre Ríos

Este trabajo presenta el Proyecto trianual actualmente en ejecución en la Facultad de Ciencia y Tecnología de UADER-Universidad Autónoma de Entre Ríos. Eneste proyecto se desarrolla un sistema operacional para el monitoreo de cambios interanuales en la cobertura vegetal del bosque nativo del centronorte de Entre Ríos utilizando imágenes digitales obtenidas en el espectro óptico por satélites orbitales. Para ello se adaptan técnicas digitales de procesamiento de imágenes para la detección de cambios en la vegetación en los ambientes sub-húmedos del norte provincial. La metodología posibilitará el monitoreo operacional a partir de imágenes satelitales de diferentes sensores. Las técnicas articuladas por esta metodología permiten la detección de cambios entre imágenes de sensores espectralmente compatibles, con o sin calibración atmosférica. Estas además son resistentes a la confusión producida por la dinámica compleja de la cobertura vegetal del área y capaces de incorporar las nuevas tecnologías satelitales actualmente en desarrollo. Los resultados y metodologías desarrolladas en el marco del proyecto permitirán establecer para el futuro un sistema operacional de monitoreo de la cobertura de bosques en la región permitiendo a la Provincia contar con herramientas para monitoreo del cumplimiento de la Ley de Presupuestos Mínimos de Protección Ambiental de los Bosques Nativos de la Ley Nacional de Bosques 26331.Eje: Computación Gráfica, Imágenes y VisualizaciónRed de Universidades con Carreras en Informática (RedUNCI

Parameter extraction techniques for the analysis and modeling of resistive memories

A revision of the different numerical techniques employed to extract resistive switching (RS) and modeling parameters is presented. The set and reset voltages, commonly used for variability estimation, are calculated for different resistive memory technologies. The methodologies to extract the series resistance and the parameters linked to the charge-flux memristive modeling approach are also described. It is found that the obtained cycle-to-cycle (C2C) variability depends on the numerical technique used. This result is important, and it implies that when analyzing C2C variability, the extraction technique should be described to perform fair comparisons between different resistive memory technologies. In addition to the use of extensive experimental data for different types of resistive memories, we have also included kinetic Monte Carlo (kMC) simulations to study the formation and rupture events of the percolation paths that constitute the conductive filaments (CF) that allow resistive switching operation in filamentary unipolar and bipolar devices.Consejería de Conocimiento, Investigaci ́on y Universidad, Junta de Andalucía (Spain) and the FEDER program for the projects A.TIC.117.UGR18, B-TIC-624-UGR20 and IE2017-5414Ramón y Cajal grant No. RYC2020-030150-IFunding for open access charge: Universidad de Granada/CBU

Cognitive Performance and Morning Levels of Salivary Cortisol and α-Amylase in Children Reporting High vs. Low Daily Stress Perception

The aim of the present study was to assess the effects of daily stress perception on cognitive performance and morning basal salivary cortisol and alpha-amylase levels in healthy children aged 9-12. Participants were classified by whether they had low daily perceived stress (LPS, n = 27) or a high daily perceived stress (HPS, n = 26) using the Children Daily Stress Inventory (CDSI). Salivary cortisol and alpha-amylase were measured at awakening and 30 minutes later. Cognitive performance was assessed using the Cognitive Drug Research assessment system. The HPS group exhibited significantly poorer scores on speed of memory (p < .05) and continuity of attention (p < .05) relative to the LPS group. The HPS group also showed significantly lower morning cortisol levels at awakening and at +30 minutes measures in comparison with the LPS group (p < .05), and mean morning cortisol levels were negatively correlated with speed of memory (p < .05) in the 53 participants. No significant differences were observed between both groups in alpha-amylase levels. These findings suggest that daily perceived stress in children may impoverish cognitive performance via its modulating effects on the HPA axis activit

Fabrication of low cost and low impact RH and temperature sensors for the Internet of Environmental-Friendly Things

Given the increasing number of connected devices as a consequence of the Internet of Things (IoT) revolution, the issue of the removal and recycling of electronics is becoming more and more urgent. In this context, biodegradable electronics is expected to be one of the biggest technological revolutions to tackle this problem. Following this direction, in this work we present the fabrication and characterization of temperature and humidity sensors based on biodegradable materials with the goal of making their removal easier as well as reducing their environmental impact. In particular, these multi-sensing devices were fabricated following a screen-printing process using a carbon-based paste and a conjugated polymer, both on paper and on a water soluble substrate. The results are more than promising and show how with our biodegradable sensors it is possible to obtain a sensitivity of 1 dec/20%RH to moisture content and around 0.04%/°C sensitivity to temperature. It is demonstrated that the simplicity and flexibility of the fabrication approach followed in this work paves the way to a set of new “green” IoT nodes that could be extended to wide range of sensing applications

Variability estimation in resistive switching devices, a numerical and kinetic Monte Carlo perspective

Acknowledgments The authors thank the support of the Spanish Ministry of Science, Innovation and Universities and the FEDER program through projects TEC2017-84321-C4-1-R, TEC2017-84321-C4-3-R, and projects A.TIC.117.UGR18, IE2017-5414 and B.TIC.624.UGR20 funded by the Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía (Spain) and the FEDER program. Funding for open access charge: Universidad de Granada/CBUAWe have analyzed variability in resistive memories (Resistive Random Access Memories, RRAMs) making use of advanced numerical techniques to process experimental measurements and simulations based on the kinetic Monte Carlo technique. The devices employed in the study were fabricated using the TiN/Ti/HfO2/W stack. The switching parameters were obtained making use of new developed extraction methods. The appropriateness of the advanced parameter extraction methodologies has been checked by comparison to kinetic Monte Carlo simulations; in particular, the reset and set events have been studied and detected. The data obtained were employed to shed light on the resistive switching operation and the cycle-to-cycle variability. It has been shown that variability depends on the numerical technique employed to obtain the set and reset voltages, therefore, this issue must be taken into consideration in RS characterization and modeling studies. The proposed techniques are complementary and depending on the technology and the curves shape the features of a particular method could make it to be the most appropriate.Spanish Ministry of Science, Innovation and Universities and the FEDER program through projects TEC2017-84321-C4-1-R, TEC2017-84321-C4-3-RConsejería de Conocimiento, Investigación y Universidad, Junta de Andalucía (Spain) and the FEDER program, projects A.TIC.117.UGR18, IE2017-5414 and B.TIC.624.UGR20Funding for open access charge: Universidad de Granada/CBU