Browsing by Autor "Elias Choque"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item type: Item ,
    Enhancement of Domestic Wastewater Treatment Plants Employing Eichhornia crassipes Biofilters
    (2024) Jorge Guevara; Alex López; Diego Chérrez; Elias Choque; Galo Núñez
    Floating plant-based wastewater treatment systems have gained recognition as effective approaches for remediating a diverse range of contaminants in water, encompassing nutrients, organic matter, and toxic substances such as arsenic, zinc, cadmium, copper, lead, chromium, and mercury. Their primary advantage lies in their suitability for rural areas due to their low consumption of conventional energy and the simplicity of construction and operation. This research delved into the incorporation of Eichhornia crassipes, locally known as “Lechuguin,” into biofilters for domestic wastewater treatment. A scaled-down prototype of the actual treatment system was constructed to emulate its performance and evaluate its efficacy in nutrient removal. The primary objective was to reduce pollutant parameter levels below permissible limits before discharging the treated effluent into a receiving water body. The behavior of floating lechuguines in the biofilter was analyzed, considering general aspects such as the advantages and disadvantages of employing these plants for wastewater depuration. The results obtained demonstrated favorable outcomes in some water quality parameters, while others were inconclusive.
  • Thumbnail Image
    Item type: Item ,
    Influence of Higher Education on IoT Acceptance through Hands-On Learning
    (UIKTEN, 2025) José Varela–Aldás; Christian Junta; Elias Choque; Guillermo Palacios-Navarro
    The Internet of Things (IoT) applications are pervasive across various sectors; however, there remains some resistance to its adoption. Education 4.0 promotes the full integration of new technologies, both as tools for learning and instruments for professional development. This work studies the influence of higher education on the willingness towards IoT adoption after hands-on learning experiences. The primary objective is to determine whether a correlation exists between IoT adoption and the education of university students from three distinct professional degrees. The methodology employed involves a practical class where students engage in developing applications for manual data collection. These applications are designed to send data to the Internet, which is then visualized through a web interface. Tailored to each respective degree, three similar applications are developed. For this research, M5 Stack Core2 kits are utilized, along with UIFLOW programming language and the ThingSpeak platform, operating under the MQTT protocol. Following the training, students complete a Technology Acceptance Model (TAM) survey for IoT. The analysis of the influence of higher education on IoT acceptance employs ANOVA to identify differences between group means. The results reveal statistically significant differences in IoT acceptance between students in Industrial and Architecture degrees.