Vayas Ortega, Germania
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Vayas Ortega, Germania
Main Affiliation
Ambato
Email
germaniavayas@uti.edu.ec
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Scopus Author ID
57194585958

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Differential Performance of Satellite Navigation in Urban and Rural Andes of Ecuador

2024 , David Rivas-Lalaleo , Víctor Bautista-Naranjo , Vayas Ortega, Germania , Tatiana Freire-Guachamín , Jefferson Pilicita-Veloso , Carlos Bran

This study assesses the effectiveness of Global Navigation Satellite Systems (GNSS) in Ecuador, a country situated on the equator, where unique challenges include elevated ionospheric activity and increased solar radiation. It focuses on the accuracy of major satellite navigation systems such as GPS, Glonass, and Galileo in various environments, from open fields to urban areas with dense building coverage. Using a satellite communication module and a data logger capturing information every second, the study provides a detailed comparison of these systems. The findings indicate that a combination of GPS and Glonass significantly enhances accuracy, reducing errors to less than 20 cm, which is crucial for high-precision applications in the equatorial region. This outcome is consistent with and expands the understanding of satellite navigation performance across different Andean landscapes, highlighting the need for tailored approaches in both urban and rural settings within the equatorial context. In summary, the research reaffirms the transformative role of geopositioning and GNSS in global navigation and emphasizes the potential for improving GNSS accuracy in the equatorial region. It contributes significantly to ongoing efforts to optimize geopositioning systems, ensuring their effectiveness in diverse geographical and environmental conditions, as exemplified in the Andean regions of Ecuador.

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Boosting Accuracy and Reducing Time in Laser Shooting Practices: Video Processing Solutions for Impact Evaluation

2024 , David Rivas-Lalaleo , Víctor Bautista-Naranjo , Vayas Ortega, Germania , Erika Iza-Chango , Pamela Lema-Jumbo , Carlos Bran

This study explores the most effective method for impact measurement in laser shooting ranges, crucial for security training, accident prevention, and cost reduction. It utilizes video surveillance and image processing algorithms in Python to accurately determine laser impact locations. The research found that employing a single target per silhouette is most efficient, minimizing errors to ±1 impact and enabling heat map generation for feedback. The combination of video surveillance and image processing significantly enhances safety and reduces costs by providing real-time data. The findings advocate for the single target approach due to its precision and the comprehensive insights gained from heat maps, maintaining accuracy within a two-hit margin.

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