Gonzales Garay, Jhon Harol

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Diseño de una boya multiparamétrica autónoma con energía fotovoltaica y comunicación remota basada en IoT para entornos de acuicultura
(2025-01-20)
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Matias Lévano-Casildo
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Se diseñó un prototipo de boya multiparamétrica autónoma para abordar las limitaciones tecnológicas en el monitoreo de la calidad del agua en ambientes de acuicultura. El objetivo fue desarrollar un sistema modular y sustentable que integre energía fotovoltaica y comunicación inalámbrica para monitorear en tiempo real parámetros críticos: pH, temperatura, oxígeno disuelto y conductividad eléctrica. El sistema consta de un módulo emisor, un módulo receptor y una plataforma de transmisión de datos a la nube. Los materiales incluyeron PLA reforzado y PETG, y los componentes electrónicos fueron alimentados por un panel solar de 20 W conectado a una batería de 12 V 7 Ah. Durante las pruebas, el prototipo demostró una autonomía energética de 48 horas y una transmisión LoRa confiable con un alcance de 500 m en la línea de visión directa. El diseño modular facilita la integración de sensores y la adaptación del sistema a diversas condiciones, beneficiando a los pequeños productores. Sin embargo, persisten desafíos como la resiliencia de los componentes en entornos hostiles y la optimización de la autonomía energética en condiciones adversas, lo que presenta oportunidades para futuras mejoras en robustez y escalabilidad.
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EFFECT OF THE ESSENTIAL OILS OF "ROMERO" ROSMARINUS OFFICINALIS AND "PEREJIL" PETROSELINUM CRISPUM ON THE MICROBIOLOGICAL QUALITY OF "ALPACA" HAMBURGER VICUGNA PACOS WITH MACHINE LEARNING
(2023-06-30)
Denis Dante
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Denis Dante Corilla Flores
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Tania Jakeline
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Choque Rivera
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Franklin Oré Areche
The meat industry produces raw materials with healthy ingredients by modifying the diet and formulating meat products based on meat from other species. The objective of this research was to formulate a hamburger using alpaca (Vicugna pacos) and essential oils of rosemary (Rosmarinus officinalis) and parsley (Petroselinum crispum) in concentrations of 0.5% and 1.0%. For this, the essential oils were extracted, for each essential oil a yield was obtained, where 0.734% for the essential oil of rosemary and 0.634%, for the essential oil of parsley. Microbiological analyzes were carried out on the hamburgers to determine Escherichia coli, Salmonella sp. and Staphylococcus for seven days. Sensory attributes (color, smell, taste, and texture) were characterized by 30 untrained panelists (university students). After 7 days of follow-up, the hamburgers did not present the presence of microbiological parameters. Significant differences (p<0.001) were observed for concentrations and attributes. However, 0.5% parsley essential oil had higher odor, flavor, and texture scores compared to rosemary. It was concluded that our applied methodology allows to improve the useful life of the product, the antimicrobial effect and the acceptability, guaranteeing a good quality and nutritious product. Deep learning is one kind of machine learning with the overarching goal of making it easier to organize and use human knowledge across many domains, at scale. The field of microbiology benefits greatly from the application of mathematical principles to the maximization of variation functions. Multiple data types are used.
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CAJA HEXAGONAL DESMONTABLE Y VERTICAL PARA LA CRIANZA DE ABEJAS
(Instituto Nacional de Defensa de la Competencia y de la Proteccion de la Propiedad Intelectual, 2022-11-17)
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Gonzales Garay, Jhon Harol

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