El adecuado modelado de los apoyos y cargas que actúan sobre una viga, es esencial para contribuir al apropiado comportamiento físico de la viga durante su vida. En este artículo se describe una aplicación creada en Matlab y diseñada con la finalidad de contribuir al aprendizaje de los estudiantes (principalmente de ingeniería civil y de arquitectura), en el tema del comportamiento físico y del modelado de las vigas estáticamente determinadas. Particularmente, el énfasisse centra en dos grandes aspectos: a) el comportamiento físico de las vigas y; b) la relación entre la pendiente, la deflexión, la fuerza cortante y el momento flexionante en vigas. La ayuda computacional mencionada permite calcular los valores de fuerza cortante, momento flexionante, pendiente y la deflexión en una viga. Para ese fin es necesario definir los tipos de apoyos de la viga en sus extremos, y el tipo de carga que actúa sobre ella. Los resultados generados por la aplicación se muestran gráficamente y en forma numérica. La aplicación descrita en el presente trabajo permite analizar una viga estáticamente determinada, y puede ejecutarse en cualquier computadora con un sistema operativo Windows 7 ó superior de 64 bits, sin necesidad de tener instalado el software Matlab. Finalmente, se describen ejemplos de uso de la aplicación.

This paper proposes a prototype for real-time monitoring and alerting when weather or air pollution is above the international thresholds. This prototype keeps end user informed via a web application where user can check historic data and via a mobile application where user can check the alarm system. Each micro-station could be installed at any part of Mexican soil or it can be reconfigured without stopping the entire system and without user intervention. The station will auto-configure looking for database servers to send data acquired, it will auto-heal when sensors are out of range preventing from fill the database with false data and it will autooptimize when there is a black-out or low energy situation. The station has been tested only with controlled laboratory test but a long run test is still needs to be done.

In disaster scenarios, terrestrial telecommunications infrastructure may fail, severely affecting coordination among emergency services and communication between authorities and the affected population. This paper presents the design, implementation, and end-to-end experimental validation of a proposed resilient communication architecture based on Low Earth Orbit (LEO) satellite connectivity, Virtual Private Networks (VPNs), Voice over IP (VoIP), and cloud services. The architecture consists of a distributed platform with autonomous power support, comprising an Emergency Operations Center (EOC) and a deployable Mobile Emergency Node (MEN). Both nodes are designed as resilient communication units interconnected through independent satellite links and supported by local energy backup mechanisms. As a case study, a VoIP communication system was implemented using a software-based Private Branch Exchange (PBX) and a SIP trunk, enabling both internal and external communications across the architecture. The experimental evaluation included end-to-end latency measurements, UDP throughput, jitter, packet loss, operational validation of the VoIP service, and energy autonomy tests under representative operating conditions. The results demonstrate that the evaluated LEO link maintains a stable operating region up to approximately 25 Mbps of offered UDP traffic, corresponding to an estimated capacity of approximately 248 equivalent simultaneous VoIP calls under the evaluated conditions. The battery-only operational autonomy was experimentally measured at 2.664 h, while the extended operational autonomy provided by generator-based battery recharging was estimated at approximately 34.37 h. The main contribution of this work is the experimental validation of a resilient architecture that integrates communication performance and energy resilience within a reproducible methodology for critical emergency communication services.