Technology is currently a significant benchmark in any application area; science and technology have permitted the invention of tools and devices that simplify daily activities by developing software engineering applications that provide automated solutions. In this sense, this work proposes two architectures that allow communication between the electronic device and the mobile application remotely, using the GSM/GPRS communication services and the Twitter social network. This development aims to control dogs' feeding adequately and healthily, providing the ration of food a dog needs according to the daily energy requirements. A nutritional assessment has also been performed considering different factors such as the size, breed, and weight of the dog to calculate the daily ration of healthy and balanced food according to daily energy requirements. Essentially, the electronic device consists of two parts: on the one hand, the electronic design is formed with an Arduino board, a Sim900 module to send and receive text messages, and the ESP8266 Wi-Fi serial transceiver module, which allows establishing the internet connection to receive the tweet that users post, both modules permit remote communication with the device using the Arduino board. On the other hand, the mobile application developed on Android uses a standard design according to the Google material design guidelines, allowing the owner to feed, schedule the feeding, review the dog's food history, and receive alerts when the food is going to be finished.

En la actualidad, ha incrementado considerablemente los avances e innovaciones tecnológicas, lo que ha permitido el desarrollo de nuevas herramientas tecnológicas y entornos virtuales para optimizar el proceso de enseñanza-aprendizaje. Este trabajo se centra en evaluar el desempeño académico de los estudiantes de la Licenciatura en Gastronomía de la Universidad Autónoma de Sinaloa (UAS) en entornos virtuales, específicamente en la asignatura de estadística. La metodología aplicada fue cuasi-experimental con un enfoque longitudinal descriptivo mixto por encuesta. El análisis de contexto se realizó a través de un instrumento para recolectar información relacionada con el uso y manejo de herramientas tecnológicas. Además, se aplicó el modelo de Progrogramación Neurolingística (PNL) para conocer el estilo de aprendizaje predominante en los estudiantes. Finalmente, se analizó el desempeño académico de los estudiantes durante el desarrollo de dos unidades de aprendizaje. Este documento finaliza con una discusión crítica de los resultados obtenidos, las conclusiones y recomendaciones.

In the last two-decade, robotics has attracted a lot of attention from the biomedical sectors, to help physically disabled people in their quotidian lives. Therefore, the research of robotics applied in the control of an anthropomorphic robotic arm to people assistance and rehabilitation has increased considerably. In this context, robotic control is one of the most important problems and is considered the main part of trajectory planning and motion control. The main solution for robotic control is inverse-kinematics, because it provides the angles of robotic arm joints. However, there are disadvantages in the algorithms presented by several authors because the trajectory calculation needs an optimization process which implies more calculations to generate an optimized trajectory. Moreover, the solutions presented by the authors implied devices where the people are dependent or require help from other people to control these devices. This article proposes an algorithm to calculate an accuracy trajectory in any time of interest using an LCD touch screen to calculate the inverse-kinematics and get the end-point of the gripper; the trajectory is calculated using a novel distribution function proposed which makes an easy way to get fast results to the trajectory planning. The obtained results show improvements to generate a safe and fast trajectory of an anthropomorphic robotic arm using an LCD touch screen allowed calculating short trajectories with minimal fingers moves.

Este artículo propone un prototipo totalmente funcional para el monitoreo del transporte público, el principal objetivo es proporcionar información en tiempo real a los usuarios que utilizan los autobuses como medio de transporte, y al mismo tiempo, proporcionar datos históricos de cada unidad para conocer la información relacionada con los horarios y retrasos de las rutas realizadas en los diferentes circuitos; para lograr el objetivo se ha utilizado un conjunto de recursos y medios tecnológicos que se centran en las capacidades de una computadora de placa reducida Raspberry PI. De manera general, el prototipo está formado por cuatro módulos: el rastreador de GPS, que consta de dos componentes principales: una Raspberry PI y un módulo GPS NEO-6M Ublox. El servicio web y la base de datos se implementan en PostgreSQL, que almacena la información a través de un servicio web RestFul desarrollado en PHP. La aplicación web para la gestión de seguimiento de bus está desarrollada en PHP y utiliza el marco Bootstrap para la interfaz de usuario. Finalmente, la aplicación móvil para Android destinada a usuarios finales, se desarrolló en la plataforma de Visual Studio 2015 con Xamarin y se programó en C#.

In recent years, many methods have been developed to calculate the trajectory of a robotic arm in the joint-space. These methods have many advantages, such as a soft motion and infinite jerk avoidance. Nevertheless, these methods present other problems that must be avoided, such as an unnatural motion while generating the trajectory and producing unsafe planning. In this sense, this work presents a numerical method named iterative optimal solution trajectory via ${\left(\zeta \right)}_v$-homotopy former (IOSTV ${\left(\zeta \right)}_v$-HF). It is proposed to reduce and avoid oscillation while obtaining trajectories with different shapes to perform better, reliable, smooth, and long-life robotic systems. The algorithm with the proposed method is described, and examples of the trajectories obtained with different parameters are presented. In addition, these were mapped and a trajectory with a continuous velocity and a reduced oscillation and another trajectory with the same restrictions but with a continuous acceleration and zero oscillations were shown; the method is versatile since it allows for choosing and finding the most optimal solutions according to the application. Finally, the article ends with a critical discussion of the experimental results.