Comparative Analysis of File Transfer Performance Between Java and.NET Using a Hybrid Encryption Protocol with AES and RSA

The purpose of the research project was to carry out the comparative analysis of the performance of a computer system using a hybrid encryption protocol (symmetric AES and asymmetric RSA) and the mechanism of sockets between the JAVA and.NET platforms, applied to the system of information backups for the Loja Technical Office of the Zonal Coordination 7 of the Identification and Certification of the Civil Registry. To determine the performance between both platforms, the analysis of each indicator obtained from the FURPS Model was done with a sample of 335 files distributed among 200 light, 100 medium and 35 heavy, for which the nonparametric analysis algorithm Mann–Whiney was used, obtaining as a result a significant difference in favor of C # in terms of response time, while for the consumption of resources (RAM and CPU) a significant difference was found in favor of Java.   Keywords: cryptography, AES, RSA, Java, C

Remote Sensing for the Characterization of Covers and Meteorological Conditions of the Chimborazo Fauna Production Reserve

The objective of this research is to characterize the vegetation cover and meteorological conditions through a multispectral analysis of the Chimborazo Wildlife Production Reserve. The methodology used for this research is the one proposed by Chuvieco, which began with the definition of objectives, bibliographic review of the reserve’s canopy, download of the most appropriate satellite image (without cloud cover), definition of canopy categories, image correction, calculation of spectral indices, supervised classification, adjustments, map generation using GIS tools, and interpretation of the results. Additionally, a National Solar Radiation Database web platform was used to download meteorological data for the year 2020, which were used to characterize the study area; the results were compared with the data acquired in 2017 with a station installed in the reserve. In the end, it was determined that multispectral analysis allows generating data close to a field work study. For the faunal reserve, the following area of established covers were obtained: shrub vegetation 55.8 km2, snow 47.9 km2, eroded zone 125 km2, moor 190 km2, pasture 76 km2 and crops 30.56 km2. Average temperature 5∘C, relative humidity 95.8% and water precipitation 1.37. Keywords: Remote sensing, vegetation cover characterization, Chimborazo Wildlife Reserve, meteorological data, multispectral analysis, Vegetation Index. Resumen La presente investigación tiene como objetivo realizar una caracterización de las cubiertas vegetales y condiciones meteorológicas a través de un análisis multitespectral de la Reserva de Producción Faunística Chimborazo. La metodología que se utilizó para esta investigación es la propuesta por Chuvieco donde se empezó con la definición de objetivos, revisión bibliográfica de las cubiertas de la reserva, descarga de la imagen satelital más adecuada (sin nubosidad), definición de categorías de cubiertas, corrección de imágenes, cálculo de índices espectrales, clasificación supervisada, ajustes, generación de mapas mediante herramientas SIG e interpretación de los resultados. Adicionalmente se utilizó una plataforma web National Solar Radiation Database para la descarga de datos meteorológicos del año 2020 que sirvieron para realizar la caracterización de la zona de estudio, los resultados fueron comparados con los datos adquiridos del año 2017 con una estación instalada en la reserva. Al final se determinó que el análisis multiespectral permite generar datos cercanos a un estudio de trabajo en campo. Para la reserva faunística se obtuvo las siguientes área de las cubiertas establecidas: vegetación arbustiva 55.8 km2, nieve 47.9 km2, zona erosionada 125 km2, páramo 190 km2, pastos 76 km2 y cultivos 30.56 km2. La temperatura media 5∘C, humedad relativa 95.8 % y precipitación de agua 1.37. Palabras Clave: Sensoramiento Remoto, caracterización de cubiertas vegetales, Reserva Faunística Chimborazo, datos meteorológicos, análisis multiespectral, Indice de vegetació