<p>In the development of intelligent cities, the automation of vehicular mobility is one of the strong points of research, where intelligent traffic lights stand out. It is essential in this field to prioritize emergency vehicles that can help save lives, where every second counts in favor of the transfer of a patient or injured person. This paper presents an artificial intelligence algorithm based on two stages, one is the recognition of emergency vehicles through a ResNet-50 and the other is a fuzzy inference system for timing control of a traffic light, both lead to an intelligent traffic light. An application of traffic light vehicular flow control for automatic preemption when detecting emergency vehicles, specifically ambulances, is oriented. The training parameters of the network, which achieves 100% accuracy with confidence levels between 65% with vehicle occlusion and 99% in direct view, are presented. The traffic light cycles are able to extend the green time of the traffic light with almost 50% in favor of the road that must yield the priority, in relation to not using the fuzzy inference system.</p>

el presente artículo expone el diseño de una arquitectura de red para reconocimiento de patrones orientada a la clasificación automática de dos tipos de peces: mojarra y tilapia. Se emplea una arquitectura basada en aprendizaje profundo mediante una red neuronal convolucional (RNC) para la cual se determina la base de datos a emplear y los diferentes hiperparámetros que la componen. Se logra obtener, mediante análisis por matriz de confusión, un desempeño del 100% de la red bajo las condiciones controladas el sistema de clasificación, es decir: color de banda transportadora uniforme y uso de luz día.

This article designs a high-efficiency electric propulsion system for industrial trucks, such as dumper trucks. This design proposes using an alternative energy storage system of green H₂ hydrogen to reduce emissions. This design determines the propulsion systems' technical and power requirements, starting with each vehicle's driving and duty cycles. For this analysis, a longitudinal dynamic model is created, with which the behavior of the energy conversion chain of the propulsion system is established. The evolutionary methodology analyzes the dynamic forces of vehicle interaction to size the propulsion system's components and the storage system. Using green H₂ as fuel allows an energy yield three times higher than diesel. In addition, using this green hydrogen prevents the emission of 264,172 kg of CO₂, which the dumper emits when consuming 1,000 daily gallons of diesel within its working day.

En este documento se demuestra de forma práctica como las aplicaciones móviles pueden ser consideradas como una gran herramienta, en la enseñanza de diversas áreas en básica primaria como son: matemáticas, inglés, sociales, español, entre otras. Es importante anotar cómo los docentes pueden apoyar sus procesos de enseñanza, a través del uso de dispositivos móviles, en los cuales se instalan aplicaciones sencillas de usar para los estudiantes, de fácil entendimiento y manejo. Particularmente aplicaciones como SAIA v1.0, GROBOT v1.0, STEAM MATH v1.0 y STUDENT STEAM v 1.0 que han sido diseñadas a la medida y puestas a disposición de instituciones de básica primaria, con la finalidad de apoyar sus procesos, obteniendo excelentes resultados, representando para ellos herramientas prácticas, de liviana portabilidad y de fácil manipulación, pero sobre todo son aplicaciones que permiten afianzar los conocimientos adquiridos sin la presencia del docente. Educational mobile applications have gained strength in the teaching and learning processes, for this reason, the objective of this paper is to demonstrate how these mobile applications can be considered a great tool in teaching using steam methodology. The paper has a descriptive character, considering the way in which the different forms of learning are supported by mobile devices and are becoming new teaching models. The topics addressed, the services received, the content exposed, among others, are analyzed. The results show a positive impact after the use of the applications on the performance, motivation, attitude and interest in learning of the students in the topics developed, as well as the satisfaction of the teachers for the support of the mobile applications in their work, and how the applications allow reinforcing the knowledge acquired without the presence of the teacher.

This document presents the design of an automated system that allows the reuse of gray water from a common washing machine. For the design, the amount of water used during the complete washing cycle was taken into account, which is approximately 180 liters, so around 2,160 liters will be reused monthly, and the uses that can be given to said water, called gray water. The automation process is executed by means of a Programmable Logic Controller (PLC) and the process sequence is presented in a Process Flow Diagram (PFD). Finally, with the help of a user-friendly Human Machine Interface (HMI), the status of the system (ON/OFF), the level of the gray water storage tanks, the activation of the electric pump and the final source of supply are displayed. of water, that is, from which tank water is being supplied for use in the home. Designed system effectively executes the established sequences, giving priority to the use of gray water. This development makes it possible to effectively obtain an alternative for saving water from a washing machine.