InGenio Journal

Urban Transformation and Public Space Appropriation on Avenida 7 de Octubre, Quevedo – Ecuador

Kelly Valentina Macias Chan — 2026-01-08

This study analyzes the results of urban innovation in the appropriation of public space in Avenida 7 de Octubre in Quevedo, Ecuador. Urban regeneration interventions in this avenue modified its structure without considering the needs of the users, which generated problems of inaccessibility, climatic overexposure and deterioration of furniture. A three-phase methodology was implemented: (1) analysis of pedestrian dynamics, (2) evaluation of the physical and functional conditions of the public space, and (3) proposal of urban design guidelines. The effects indicate that the avenue doesn´t comply with habitability standards, which limits the permanence and interaction of citizens. It is concluded that urban interventions should prioritize pedestrian-centered design to encourage appropriation and sustainable use of public space.

Literature Review for Counting Colony-Forming Units in Microorganisms Using Artificial Vision

Luis Alberto Jiménez Villa — 2026-01-08

This study conducted a Systematic Literature Review with the aim of identifying the most efficient procedures for processing images used in microbiological analyses. This search includes publications from 2019 to 2025, using the main indexed scientific databases such as Scielo, ACM, Redalyc, Consensus, IEEE Xplore, and Springer, as well as the Google Scholar search engine. During the search, 41 articles were analyzed, identifying various approaches to traditional image processing, machine learning, and hybrid techniques. The results allowed us to identify methods and tools, providing a solid basis for their incorporation into a computer system. The main contribution is to establish the foundations for the development of an automated technological solution that facilitates the implementation of automatic counting to streamline the work of scientific and clinical laboratories by reducing time and human error.

Machine Vision for the Diagnosis of Coffee Soils: A Systematic Literature Review

Aldrich Arath Irisson Aburto — 2026-01-08

En Jilotepec, Veracruz, la producción de café enfrenta desafíos asociados con la degradación del suelo y la baja productividad agrícola. Este trabajo se centra en una Revisión Sistemática de la Literatura (RSL) sobre el uso de visión artificial para el diagnóstico de suelos cafetaleros, con el objetivo de identificar técnicas efectivas que permitan el desarrollo de herramientas tecnológicas aplicables al contexto local. La RSL se realizó bajo un protocolo riguroso que incluyó criterios de inclusión/exclusión, una búsqueda en bases de datos científicas reconocidas y un análisis temático de estudios entre 2019 y 2024. Los resultados resaltan el potencial de la visión artificial en tareas como la segmentación de imágenes, el análisis de textura y la detección de características fisicoquímicas del suelo. Como contribución principal, la revisión identifica tendencias, brechas y oportunidades que apoyan la creación de software de diagnóstico de suelos más rápido, accesible y preciso para los productores de café. Esta investigación sienta las bases para soluciones innovadoras en la agricultura sostenible y digital.

Rapid Assessment of Badea (Passiflora quadrangularis L.) Maturity Degree by Digital Image Analysis and Multivariate Statistical Techniques

Luis Egas — 2026-01-08

Fruits and vegetables are essential for a healthy diet worldwide, but due to their perishable nature, they are among the most wasted foods. According to the Food and Agriculture Organization (FAO), approximately 45% of food is lost before reaching consumers. Proper handling during and after harvest is crucial to reducing this waste, including identifying the optimal ripening point for both harvest and sale. Passiflora quadrangularis (badea), a traditional South American crop rich in antioxidants, generates significant income for vulnerable communities. Determining the ripeness of badea is key to ensuring better quality and reducing post-harvest losses. In this study, a physicochemical characterization was carried out by days of ripening, and images of the badea were used at three stages of ripeness: green-ripe, early-ripe, and ripe. The physicochemical characterization suggests average pH values of 5,73 and a maturity index of 11,62%, as indicators of an early ripening stage suitable for harvest. These images were analyzed using multivariate statistical methods, including Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA), to identify visual patterns and classify ripeness levels. The model achieved a training accuracy of 100% and a validation accuracy of 83%. These methodologies offer a fast and non-invasive method for assessing fruit ripeness, facilitating informed decisions about the optimal time for harvest and helping to reduce post-harvest waste.

Pathway to Solar Green Hydrogen: A Literature Review of Technologies, Efficiency, and Economic Feasibility

Galo Padrón-Andrade — 2026-01-08

Green hydrogen produced from solar energy is emerging as a technical option to support the transition toward a sustainable energy model. This article presents an updated literature review on the most relevant advances in solar-powered electrolysis technologies, focusing on efficiency, costs, and commercial feasibility. The main types of electrolyzers are examined, along with their operating conditions and limitations. The analysis includes key economic factors that influence the competitiveness of green hydrogen, particularly the levelized cost of hydrogen (LCOH), which is affected by storage infrastructure and electricity prices. Although technical and financial challenges remain, solar-based hydrogen production is presented as a concrete option to diversify energy portfolios and reduce emissions in the energy sector.

Integration of OSPF and SNMP for Network Monitoring and High Availability: Experimental Evaluation

Holger Jorge Santillan Carranza — 2026-01-08

This article implements the integration of OSPF (Open Shortest Path First) and SNMP (Simple Network Management Protocol) to increase the availability of the Internet service and send alarms for fault detection, since nowadays in educational or corporate institutions it is important to maintain the continuity of the Internet service. The methodology implemented is of experimental type using a test bench in the network laboratory two FortiGate equipment were used with the objective of simulating two internet outlets with different providers maintaining a convergence through the OSPF protocol, thus guaranteeing high availability. In the tests performed, an average convergence time of 8,46 seconds was obtained. For fault detection and sending notifications, the PRTG service was used, which sends messages via email and Telegram, providing detailed information and proving to be an efficient integration to increase the availability of the internet service and notify failures for a prompt response and solution.

Evaluation of the Effect of Earthquake Duration on the Structural Response of an SDOF System

Hugo Julianny Latorre Aizaga — 2026-01-08

This study analyzes the effect of earthquake duration on the dynamic response of idealized single-degree-of-freedom (SDOF) structural systems. The research arises from the need to consider additional parameters beyond peak ground acceleration (PGA) to more accurately evaluate structural behavior. A linear model with viscous damping was used, and real earthquake records scaled to the same PGA but with durations of 5, 10, and 20 seconds were applied. The dynamic response was obtained using the Newmark numerical method, focusing on the maximum relative displacement. The results show a growing trend in displacement as the duration of the seismic event increases, evidencing greater energy accumulation and deformation. The main contribution of this study lies in highlighting the significance of earthquake duration as a relevant parameter, even in early design stages, proposing its inclusion in structural seismic analysis to improve design accuracy and safety.

Enhancement of 100-Hour Inspections on Thrush S2R-T34 Agricultural Aircraft through Lean Maintenance

John Oswaldo Cajamarca Guerrero — 2026-01-08

In agricultural aviation used for aerial herbicide application in plantations, 100-hour inspections as specified by FAA regulation 14 CFR §91.409, ensure safety and availability but face issues such as excessive inventories, unnecessary movements, and rework. This study proposes applying Lean Maintenance to Thrush S2R-T34 aircraft, integrating the 5S methodology to optimize workshops, a Just-in-Time system for efficient spare-parts supply, and a digital checklist based on Failure Mode and EffectsAnalysis and a Process Analysis Diagram. The intervention reduced non-productive inventory by 40%,spare-parts management time by 45%, and movements by 26,7%. Key indicators also improved significantly: MTBF increased from 13,0 h to 26,6–29,5 h (+115%), MTTR dropped from 4,3–4,6 h to = 3,1 h (-30 %), and mechanical availability rose from 74–75% to 90%, freeing approximately 120 flight-hours per semester per aircraft. This scalable model offers a replicable strategy to optimize aircraft maintenance.