Administración de Infraestructuras y Plataformas Tecnológicas

Permanent URI for this collectionhttps://dspace.ucuenca.edu.ec/handle/123456789/46349

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    Implementación de una infraestructura de computación de borde (Edge Computing) basada en Arduino UNO Q para la gestión de un instrumento audiovisual interactivo
    (Universidad de Cuenca. UCuencaTEC, 2026-09-11) Mora Araujo, Bryan Josué; Nivicela Arbito, Jonnathan Fernando
    This degree project implements and evaluates an edge computing infrastructure based on Arduino UNO Q to manage an interactive audiovisual instrument. The proposal addresses the need to process several interaction inputs locally, without relying on cloud services. The system integrates computer vision with MediaPipe, electrical signal acquisition from a plant, motion capture through a portable module, and audience interaction through a mobile web interface. These inputs are coordinated by a Python orchestrator running on Linux Debian 13 and are converted into sound and light responses through Pure Data and WS2812B LED strips. The evaluation was carried out with all modules active, considering processor usage, memory consumption, latency, communication, and operational stability. The results showed a total processor usage of 24.6 %, a memory consumption of 982 MB, and a computer vision latency of 212.7 ms under full load. In addition, communication between the ESP32 nodes and the Arduino UNO Q remained below 50 ms. These results indicate that the platform is viable for mediumcomplexity interactive applications, although the vision module requires further optimization in higher-load scenarios.
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    Tablero Sudobik para el desarrollo del pensamiento matemático en niños de 7 a 11 años de Educación General Básica en una unidad educativa rural de la ciudad de Cuenca
    (Universidad de Cuenca. UCuencaTEC, 2026-09-11) Tacuri Albarracín, Hugo Nicolás; Trelles Ávila, Williams Hidalgo
    Education constantly presents new challenges, and overcoming them is key to ensuring good teaching, especially at key levels such as Early Childhood and Primary Education, where there are problems such as the complexity of applying games and technology without generating distractions, in addition to the consequences of excessive use of social networks. Therefore, the present thesis work aimed to design a resource, called “Sudobik Board”, focused on developing mathematical thinking in students from 7 to 11 years old, using basic mathematical operations, the game and technology. A mixed methodology was used, with a qualitative predominance and quantitative support, which helped to recognize the students' abilities through a clear analysis of data processing. The proposal is based on Jean Piaget's theory, focusing on the concrete operational stage, and has the support of an education professional. The hardware-level board includes a microcontroller (ESP32), sensors (buttons) and actuators (RGB LEDs and speakers); the software-level board includes a relational database and a system for controlling the hardware through a web dashboard. Its application will show an improvement in memorization, reasoning, and understanding of mathematical operations in students. In conclusion, this project represents an opportunity to apply games and technology from a pedagogical approach, in order to promote mathematical thinking.
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    Implementación de un Bastón Inteligente con Edge AI para asistencia a la navegación de personas con discapacidad visual en la ciudad de Cuenca, Ecuador
    (Universidad de Cuenca. UCuencaTEC, 2026-09-07) Chitacapa Aucapiña, Milton Fernando; Portillo Berrezueta, Erick Johan; Trelles Ávila, Williams Hidalgo
    Independent mobility constitutes a challenge for people with visual disabilities. Current commercial devices are costly, depend on internet connectivity, and employ ultrasonic sensors that fail to detect obstacles at chest and head height, which limits their usefulness and compromises data privacy. The objective of the research was to implement a smart cane with Edge AI, that is, artificial intelligence that operates directly on the device. The goal was to improve the mobility of people with visual disabilities in Cuenca, processing all data on the cane itself to protect user information. An applied research methodology with a mixed approach was employed, evaluating a non-probabilistic convenience sample of participants with visual disabilities. For data collection, controlled field experimental tests and the standardized System Usability Scale (SUS) questionnaire were used. The results demonstrated that the integrated laser detection sensor achieved an obstacle detection rate of eighty-five percent in the upper body zone, areas impossible to cover with traditional techniques. Additionally, the navigation and voice recognition engines operated entirely without internet connectivity. The results validated that local technology adequately complements the white cane. The prototype demonstrated to be reliable and private, improving user autonomy in the streets of Cuenca. It does not replace the cane, but covers the areas that it cannot detect.
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    Implementación de una infraestructura IoT con red LoRa para el monitoreo de variables agroambientales y el control de riego automatizado en huertas andinas en Cuenca
    (Universidad de Cuenca. UCuencaTEC, 2026-09-04) Basantes Chuisaca, Stephany Paola; Tenemaza Loja, Justin Daniel; Nivicela Arbitro, Jonnathan Fernando
    Agriculture in the Andean vegetable gardens of the Cuenca canton faces challenges in crop monitoring and efficient irrigation water management due to the lack of accessible technolo- gical tools for farmers whose gardens are located in rural areas without access to Wireless Fidelity (WiFi) or 3G and 4G mobile networks. This study proposes an Internet of Things (IoT) infrastructure using a Long Range (LoRa) network for monitoring agro-environmental variables and automated irrigation control. The system integrates two nodes based on the Heltec WiFi LoRa 32 V4 microcontroller: an Environmental Node, which measures temperature, humidity, pressure, Dióxido de Carbono (CO2), illuminance, and seven soil parameters (moisture, tem- perature, electrical conductivity, potencial de Hidrógeno (pH), and Nitrógeno, Fósforo y Potasio (NPK) macronutrients) using the BME280, SCD40, BH1750, and a 7-in-1 RS485 sensor; and a Water Node, which monitors tank level and flow rate and controls a pump via pulse width mo- dulation. Both nodes transmit via LoRa to a gateway that forwards the data to the Raspberry Pi 5, where it is stored in a local MySQL database synchronized with Railway. A web plat- form built with Flask displays the data in real time, generating alerts, configurable thresholds, historical reports, and weather data from the Application Programming Interface (API) of Open- WeatherMap. Field tests with the Environmental Node collected 259 records over seven days, confirming its proper operation and demonstrating the need for the proposed automated irri- gation system. The results demonstrate that the system is a viable and replicable solution for optimizing water use.