Browsing by Author "Chávez Fuentes, Carla Patricia"

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    Ruta óptima de tráfico de una red virtual basada en análisis de datos y algoritmo de Machine Learning
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Telecomunicaciones, 2021) Chávez Fuentes, Carla Patricia; Ríos Villacorta, Percy Alberto
    The present research topic aims to determine the óptimal traffic route of a virtual network based on data analysis and machine learning algorithms through traffic prediction. As in physical networks, in virtual networks, the óptimal design of a communication network is sought. Optimizing a data network is not an easy task, due to the complexity and the number of factors necessary to evaluate to obtain a solution that satisfies the end users [1] [2]. Therefore, in this proposal it is proposed to determine an óptimal traffic route of a virtual network, in order to reduce the unnecessary consumption of network bandwidth and other resources. Traffic analysis of a network is a key point in determining its architecture, which is why it has become a topic of great interest in recent years [3]. The great technological advance that has occurred in recent years, the development of artificial intelligence and the use of machine learning algorithms known by its acronym in English as machine learning (ML), have made it possible to solve several problems in the area of engineering and computer science [4]. Under this first, it is proposed to make use of ML algorithms to determine the óptimal route of traffic in a virtual network through its analysis of traffic and its status. To determine the óptimal route for network traffic, an objective function is intended to minimize the traffic in each node, making the most of the determined bandwidth. The analysis of the topology and architecture of the network will allow to determine the óptimal route for the network traffic so that the design meets the needs of the end users.
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    Sistema de semaforización inteligente para el control de flujo vehicular mediante el procesamiento digital de imágenes
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2015-07) Chávez Fuentes, Carla Patricia; Jurado Lozada, Marco Antonio
    En los últimos años la necesidad de una movilidad vehicular sostenible, hace necesario el desarrollo e implementación de nuevas tecnologías con el fin de mejorar el tráfico vehicular en muchos aspectos como mayor fluidez, reducción de accidentes, entre otros. La presente investigación se enfoca en el desarrollo de un prototipo, encaminado al control de los tiempos de duración de las fases de los semáforos, directamente ligado con el número de vehículos existentes en la vía, dando siempre preferencia a la vía considerada principal, mediante el procesamiento de imágenes, para el presente estudio se consideró la intersección formada por la Av. Cevallos y la calle J.L. Mera. El sistema está constituido por dos cámaras que adquieren imágenes de las áreas de interés, para posteriormente realizar el procesamiento de las imágenes que constituye de transformaciones sistemáticas que permiten mejorar la imagen y obtener el número de vehículos existentes mediante la segmentación de bordes aplicando el método de Canny. Con el número de vehículos de ambas calles, se procede a la toma de decisiones para determinar los tiempos de duración de las diferentes fases, esta información se extrae mediante la placa arduino para ser enviadas directamente a los semáforos. La interfaz aplicada muestra un botón para iniciar el sistema, se indica el número de vehículos registrados,el tiempo en verde para cada calle y cuenta con un botón que permite resetar el programa. ABSTRACT In recent years the need for sustainable vehicular mobility, makes the development and implementation of new technologies in order to improve traffic in many aspects more smoothly, reducing accidents, among others. This research focuses on the development of a prototype and taking control of the time duration of the phases of traffic lights, directly linked to the number of existing vehicles on the road, always giving priority to the main route considered by the image processing, for this study formed by the intersection was considered Av. Cevallos and J.L. Mera. The system consists of two cameras acquiring images of the areas of interest, then performing image processing constitutes systematic changes that improve the image and get the number of existing vehicles by segmenting edges by applying the method Canny. With the number of vehicles on both streets, proceed to decision making to determine the time duration of the different stages, this information is extracted by the Arduino board to be sent directly to the traffic lights. Applied interface displays a button to start the system, the number of registered vehicles, the green time for each street and has a button that allows the program Resetar indicated.