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Arenas Romero, Roland Ricardo; Vidales Claros, Sebastián; Millán Rojas, Edwin Eduardo; firstname.lastname@example.org(Ediciones Universidad Cooperativa de Colombia, Bogotá, Colombia.ExternoCiencia Inclusiva, 2018-09)
Introduction: This article derives from the research conducted as a graduation option in the internship at the Agustín Codazzi Geographical Institute, Caquetá office, Colombia, during the second half of 2017, supported by the Systems Engineering program at the Universidad de la Amazonia. Aim: To design a methodology to update cadastral information of risk areas using a remotely piloted aircraft in the Colombian Amazonian piedmont to determine the impact caused by the phenomenon of floods. Materials and methods: Two research methods were used: the first one was exploratory, based on which the sources and theoretical references for the methodology design were established. The second one was forward-looking, with which a methodological design was proposed to address the problem of updating risk areas. The study area included a wooded sector on the edge of La Perdiz brook in the municipality of Florencia. Conclusions: The methodology designed allowed to determine the existence of 98 properties in risk areas by means of delimitation in the study area, establishing the correct functionality of the proposed invention. Originality: The development of a methodology for cadastral updating allows to integrate hardware technology easily and obtain detailed information to prevent natural disasters such as floods. Limitations: The project only covers the urban areas of the Colombian Amazonian piedmont, given the little information available from the rural land register in these areas of the country.
Segura Cuervo, Maycol Alexander; Mesa Lara, Jairo Alonso; email@example.com(Ediciones Universidad Cooperativa de Colombia, Bogotá, ColombiaExternoCiencia Inclusiva, 2018-01-01)
Introduction: The article derives from the research “Alarm monitoring system based on unmanned aerial vehicles” conducted at Universidad Pedagógica y Tecnológica de Colombia in 2016. It shows the construction phases of an electronic alarm monitoring platform prototype using cloud computing, supported by surveillance drones. Aim: To improve response times in the surveillance of rural properties upon a warning signal of possible theft by quickly collecting external evidence captured in photos and videos. Methods: We identified how the monitoring service is provided in Colombia and then five modules were designed and implemented: intrusion, reception, management, monitoring and surveillance. Results: Once an intrusion variable was altered and detected by the sensors, the alarm system transmitted the warning signal through IP/GPRS communication to the signal receiver in the cloud, which translates the message and directs it to the management software responsible for sending the flight plan and geographic coordinates required for onsite drone surveillance. Conclusion: Response times on drone surveillance could be calculated with favorable results for the monitoring service, and the management software was developed. Originality: We obtained a platform with innovative elements associated with the integration of drones and cloud computing. Limitations: Colombian regulations on drones restrict unmanned flights.