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This document presents a prototype developed at the Universidad Distrital Francisco José de Caldas of a tool called Control Glove based on angular orientation that will be in charge of controlling different specialized systems, the system starts from the information that can be found in the movements of the hands, this information varies between acceleration, velocity and angular orientation with respect to the three-dimensional Cartesian plane (X, Y, Z). The final prototype of the control glove may be used in industrial, manufacturing, educational, medicinal, and amateur applications, which will be determined depending on the use that the glove needs.

In recent decades, bio-inspired systems or biological systems have become essential elements for the understanding and explanation of the logic and complexity of life.[1] Given a problem or task, it is always possible to find a way to find a solution, but when the tasks to be performed become complex, so do the solutions. Given a problem or task, it is always possible to find a way to find a solution, but when the tasks to be performed become complex, so do the solutions become more complex, so it is more practical to provide solutions from bio-inspired systems that have already provided solutions to many existing problems in our reality through evolution, which leads to the implementation of a bio-inspired algorithm, which takes as a basis the behavior of what nature already provides and uses it in its favor to solve real-life problems more efficiently [2][3].

La denominada Amenaza Persistente Avanzada (APA) tiene como objetivo obtener información clave, de manera que el atacante pueda usar esta información para manipular o controlar el equipo informático de una organización para su propio beneficio. Por estas razones es importante conocer las funciones y procedimientos operativos de una APA, diagnosticar y analizar su detección temprana y entender cómo funciona. El presente artículo, describe la forma de conocer el funcionamiento y el alcance de estas amenazas usando pruebas desde un servidor tomando una máquina de laboratorio e identificando las amenazas de acuerdo con el nivel de persistencia. Esto ayudará a determinar controles internos de la organización, permitiendo desarrollar planes de contingencia de anticipación

At present, the improvement of industrial-type processes aims at having products that meet the highest standards, optimizing resources and responding promptly to any developments that affect their results. In this article, a case of a system of supervision of a remote crop type plant, monitored by means of SCADA type platforms in a workstation distant from the physical location is introduced, with automation equipment that allows to display and adjust variables that are critical for the process, such as pressure, operation of irrigation water pump, failure states or actuator operation (at request of end customer), among others (not limited to these). The information generated is sent through IoT (Internet of Things-Internet of Things) technologies to a workstation where an end user can change or affect the variables of that plant, and thus, take actions to mitigate affectations in the quality of the final product, also leaving improvement plans for future implementations of similar characteristics.