Autonomous UAV System for Cleaning Insulators in Power Line Inspection and Maintenance.

The inspection and maintenance tasks of electrical installations are very demanding. Nowadays, insulator cleaning is carried out manually by operators using scaffolds, ropes, or even helicopters. However, these operations involve potential risks for humans and the electrical structure. The use of Unmanned Aerial Vehicles (UAV) to reduce the risk of these tasks is rising. This paper presents an UAV to autonomously clean insulators on power lines. First, an insulator detection and tracking algorithm has been implemented to control the UAV in operation. Second, a cleaning tool has been designed consisting of a pump, a tank, and an arm to direct the flow of cleaning liquid. Third, a vision system has been developed that is capable of detecting soiled areas using a semantic segmentation neuronal network, calculating the trajectory for cleaning in the image plane, and generating arm trajectories to efficiently clean the insulator. Fourth, an autonomous system has been developed to land on a charging pad to charge the batteries and potentially fill the tank with cleaning liquid. Finally, the autonomous system has been validated in a controlled outdoor environment.

Evaluation of a multidisciplinary global health online course in Mexico.

BACKGROUND: Global Health Education (GHE) focuses on training proactive global citizens to tackle health challenges in an increasingly interconnected and interdependent world. Studies show that health professionals in training have reported that GHE has improved their teamwork, responsiveness to contextual factors that impact health, and understanding of health systems; however, there is little research on the impact of GHE courses in undergraduate settings, especially in low and middle-income countries (LMICs). METHODS: Our study analyzes a multidisciplinary online global health course at Tecnologico de Monterrey, México. We conducted a cross-sectional study with pre- and post-design. Students who took the multidisciplinary course of Global Health for Leaders in the Fall of 2019 (n = 153) and Spring of 2020 (n = 348) were selected for this study. Using a five-point Likert scale (strongly agree to strongly disagree), the survey assessed seven competencies as well as questions about course expectations, takeaways, and recommendations to improve the course. We performed descriptive statistical analyses comparing the combined pre-tests (from Fall and Spring cohorts) to the combined post-tests. Fisher's exact test was used to compare the samples. RESULTS: Of the 501 pre-course surveys administered, 456 responses were completed in the pre-course and 435 in the post-course (91% overall response rate). Only 8.7% of the respondents in the pre-course survey strongly agreed that they could describe fundamental aspects of global health such as the Millennium Development Goals or Sustainable Development Goals, in contrast to a 56% of the students who strongly agreed in the post-course survey (p < 0.001). Similar differences were captured in understanding the global burden of disease, social determinants of health, the effects of globalization in health, health systems' goals and functions, and human rights. 38% felt that the course helped them develop a more empathetic perception of the suffering of others experiencing global health-related issues. CONCLUSION: In this study, we have presented our experience in teaching an online global health course for multidisciplinary undergraduates in a LMIC. The competencies reported by our students indicate that the course prepared them to confront complex global health issues.