Examinando por Materia "Drones"

Mostrando 1 - 2 de 2
  • No hay miniatura disponible
    Ítem
    Drones y el orden legal internacional. Tecnología, estrategia y largas cadenas de acción
    (Universidad de los Andes, Bogota Colombia, 2015-01-01) Kleinschmidt, J.
    The main thesis of this article is that the increasing recourse to the use of unmanned aerial systems in asymmetric warfare and the beginning routinization of U.S. drone operations represent part of an evolutionary change in the spatial ordering of global politics. Using a heuristic framework based on actor-network theory, it is argued that practices of panoptic observation and selective airstrikes, being in need of legal justification, contribute to a reterritorialization of asymmetric conflicts. Under a new normative spatial regime, a legal condition of state immaturity is constructed, which establishes a zone of conditional sovereignty subject to transnational aerial policing. At the same time, this process is neither a deterministic result of the new technology nor a deliberate effect of policies to which drones are merely neutral instruments. Rather, military technology and political decisions both form part of a long chain of action which has evolved under the specific circumstances of recent military interventions.
  • No hay miniatura disponible
    Publicación
    Identificación de anomalías en el aislamiento de líneas de transmisión a partir de imágenes
    (Universidad EAFIT, 2024) Sánchez Echeverri, Daniel Alonso; Martínez Vargas, Juan David; Valencia Díaz, Edison
    Currently, the maintenance of electric power transmission lines is based on inspection tasks that require long journeys over complex terrain to determine the condition of this infrastructure. Technological advances in unmanned aerial vehicles, also known as drones, have allowed some inspection tasks to be performed remotely, capturing photographs of the infrastructure. These images are then analyzed to identify the physical condition of the assets. However, processing and visualization is a manual procedure that requires hours of review to identify problems. In this context, the present work proposes the use of artificial vision algorithms, in order to identify the elements of the network that present anomalies, affecting the normal operation of the electric power transmission system. With this strategy, it is expected to improve the efficiency in the identification of problems in the electric power infrastructure, reducing the time and costs associated with the manual review of the images obtained by the drones. The dataset has been obtained from a company in the electric power sector in Colombia. In this paper, for reasons of data protection and business ethics, the company has been anonymized and renamed as Empresa de Energía EE.