{"title":"Design and validation of a hybrid MPPT algorithm for PVS using an interleaved boost converter","authors":"Luis Enrique Hernandez Aguilar;Gerardo Vazquez Guzman;Panfilo Raymundo Martinez Rodriguez;Dalyndha Aztatzi Pluma","doi":"10.1109/TLA.2025.11150626","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150626","url":null,"abstract":"Photovoltaic systems must be highly efficient to transfer the electric power generated to the local loads or to the electrical grid. In partial-shading conditions there are multiple local maximum power points which are not evaluated by conventional MPPT methods producing low efficiency in the photovoltaic system. In this paper a hybrid Particle Swarm Optimization (PSO) based method is proposed. The proposed method allows to locate the global maximum power point enhancing the availability of the generated electrical power and reducing the convergence time compared to the conventional PSO algorithm. The proposed method is compared with classical MPPT algorithms like Hill Climbing (HC), perturb and observe (P and O), incremental conductance (IncCond) and the conventional particle swarm optimization (PSO) method. The comparison is performed by means of numerical simulations and implementing an experimental platform with real photovoltaic panels.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"901-909"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting Frame Deletion in Videos Using Supervised and Unsupervised Learning with Convolutional Neural Networks","authors":"Jorge Ceron;Cristian Tinipuclla;Pedro Shiguihara","doi":"10.1109/TLA.2025.11150631","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150631","url":null,"abstract":"In recent years, videos have been susceptible not only to any edition but also to a variety of forgeries. One of the most popular video forgeries is frame deletion, in which a group of frames is removed to hide specific actions from the human eye. When frame deletion occurs, videos selected as evidence lose their evidentiary value. This highlights the necessity of automation, especially for analyzing large volumes of videos. Thus, we measure the performance of two deep learning approaches for frame deletion detection. Both of them use Convolutional Neural Networks (CNN): The first one, a supervised 3DCNN model and, the second one, is an unsupervised model compound of VGG-16 and Resnet-50. We evaluated them using 10-fold cross-validation in the following datasets: UCF-101, VIFFD and DTD (Driving Test Dataset), which is our contribution to the data community. To the best of our knowledge, no comparison of both approaches using 10-fold cross-validation has been found in the literature before. Afterward, we analyze the results and make recommendations for future work in this area.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"838-847"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150631","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over Mejia;Ronald Ceballos;Rhonald Torres;Juan Hoyos
{"title":"Adaptive Navigation System for an Autonomous Vehicle in a Goal-Oriented Environment","authors":"Over Mejia;Ronald Ceballos;Rhonald Torres;Juan Hoyos","doi":"10.1109/TLA.2025.11150628","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150628","url":null,"abstract":"In the context of autonomous navigation, the development of systems that enable vehicles to operate independently in controlled environments is a crucial step toward advancing autonomous technology. This work presents the design, implementation, and validation of a navigation system for autonomous vehicles using NeuroEvolution of Augmenting Topologies (NEAT). The primary objective was to create a vehicle capable of navigating a 2D map with a defined starting point and target. Virtual sensors enable the vehicle to identify navigable paths and boundaries. Distance metrics such as Euclidean, Manhattan, and Chebyshev were employed as reward systems, continuously calculating agent positions. The closer the vehicle is to the target, the higher its fitness score, forming the basis of the fitness function. A forced reinforcement acceleration method was designed and implemented to ensure progress when the vehicle's speed fell below 0.1, preventing it from becoming stalled. Validation tests were conducted to evaluate the system's performance under varying conditions. Results demonstrate that the autonomous vehicle can navigate the map effectively, improving its fitness score in each generation depending on the distance metric used. Chebyshev performed best in obstacle-free environments, while Euclidean excelled in the presence of obstacles. The forced reinforcement method significantly reduced the time required to achieve the target fitness. These findings provide valuable insights for researchers aiming to develop NEAT-based navigation systems for autonomous vehicles.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"848-855"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150628","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Table of Contents October 2025","authors":"","doi":"10.1109/TLA.2025.11150604","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150604","url":null,"abstract":"","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"837-837"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150604","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberto Gonçalves de Magalhães Júnior;Rafael Nobre Orsi;Tatiany Marcondes Heiderich;Marina Carvalho de Moraes Barros;Ruth Guinsburg;Carlos Eduardo Thomaz
{"title":"Visual and Pupillary Behavior in Neonatal Pain Assessment using Eye-Tracking","authors":"Roberto Gonçalves de Magalhães Júnior;Rafael Nobre Orsi;Tatiany Marcondes Heiderich;Marina Carvalho de Moraes Barros;Ruth Guinsburg;Carlos Eduardo Thomaz","doi":"10.1109/TLA.2025.11150629","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150629","url":null,"abstract":"This paper introduces the application of novel eyetracking metrics to assess visual attention and cognitive load in neonatal pain assessment. Our goal is to evaluate pediatrician experts, non-experts, and parents using the relative Explore- Exploit Ratio, along with the Task-Evoked Pupillary Response, while analyzing the frontal faces of distinct newborns before and after painful procedures. All the experiments were based on a benchmark image dataset considering clinically relevant areas of interest. The Tobii TX300 system was used to record the eye-tracking data in a closed room with controlled lighting. Our results disclose that the visual attention described by the traditional metrics does not correspond directly to the respective fixation patterns and pupillary changes quantified for all the sample groups of participants investigated, highlighting statistically significant differences in the visual behavior between participants with or without clinical experience only when using the novel metrics proposed instead.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"931-937"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150629","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fernando Aparicio Urbano-Molano;Jaime Velasco-Medina
{"title":"FrodoKEM Hardware Implementation for Post-Quantum Cryptography","authors":"Fernando Aparicio Urbano-Molano;Jaime Velasco-Medina","doi":"10.1109/TLA.2025.11150633","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150633","url":null,"abstract":"FrodoKEM, a key encapsulation mechanism (KEM) based on the learning with errors (LWE) problem, would be included for standardization by the International Organization for Standardization (ISO) and recommended for PQC migration by the BSI (German Federal Office for Information Security) and the ANSSI (French Cybersecurity Agency). It is closely related to the challenging time-computational problem inherent to algebraically unstructured lattices. However, hardware implementations of this scheme are required to verify its effectiveness in real-world applications. To the best of our knowledge, this is the first hardware implementation of FrodoKEM using High-Level Synthesis (HLS), which meets all requirements of the version submitted for standardization to ISO. The proposed design started with the profiling of the reference C software implementation using Valgrind software tools, to identify the functions that are the most time-consuming. The advantages of the proposed implementation include a 34% improvement in the speed metric of the Key Generation module in comparison with the reference software implementation. The results show that the key generation, encapsulation, and decapsulation use 26%, 39%, and 32%, respectively, of the total area utilization on the Artix-7.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"922-930"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150633","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enrique C. Quispe;Julio Rafael Gómez Sarduy;Zaid García Sánchez;Isidoro Fraga Hurtado;Roy Reyes Calvo;Yuri Ulianov López Castrillon
{"title":"Multivariate Models for Photovoltaic Power Forecasting with Non-climatic Exogenous Variables","authors":"Enrique C. Quispe;Julio Rafael Gómez Sarduy;Zaid García Sánchez;Isidoro Fraga Hurtado;Roy Reyes Calvo;Yuri Ulianov López Castrillon","doi":"10.1109/TLA.2025.11150627","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150627","url":null,"abstract":"Forecasting electricity generation from renewable resources is crucial for the efficient planning and operation of power systems. The development of forecasting models based on local meteorological variables is common, however, sometimes this information is unavailable. This study explores the use of multivariate models that do not incorporate meteorological variables, but use historical power-generated data from eight PV plants located in the same region to predict the future value of a target plant. This allows for improved forecasting when meteorological variables are unavailable and the only information available is the generation of the PV plants. The performance of LSTM and BiLSTM networks is compared for different time horizons, considering various lags of the power series itself for estimating future values. The main contributions of this study include the introduction of power time series from other plants as model inputs, the use of spatial interpolation to fill in missing data and the application of causality tests between time series for the selection of predictor variables, and the uncertainty associated with the predictions is analyzed using quantile regression techniques.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"877-887"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150627","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anikó Kopacz;Enol García González;Camelia Chira;José Ramón Villar Flecha
{"title":"Hybrid Adaptive Greedy Algorithm Addressing the Multi-Robot Path Planning Problem","authors":"Anikó Kopacz;Enol García González;Camelia Chira;José Ramón Villar Flecha","doi":"10.1109/TLA.2025.11150630","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150630","url":null,"abstract":"In the past few years, path planning and scheduling became a high-impact research topic due to their real-world applications such as transportation, manufacturing and robotics. This paper focuses on the Multi-robot Path Planning (MPP) problem, which consists of planning the route for a set of robots in a given static environment. The main goal is to navigate the robots from a starting point to a destination point without colliding with other robots or static obstacles. We propose a hybrid method -- H* -- that combines adaptive route planning based on A* and local search algorithm to optimize routes in the context of the MPP problem. The A* algorithm finds the optimal solution for the route search problem and a heuristic approach is applied to scale up to the multi-agent scenario.The overall length of determined paths and the number of robot collisions is minimized during the evaluations specific small-scale environments.Computational experiments are conducted for multi-robot scenarios and the performance of H* is compared to several path-searching algorithms including A* variations extended for the multi-agent scenario and coevolutionary algorithms.Experimental results demonstrate that H* outperforms the A* based heuristic approaches in terms of path length. H* shows similar performance as the coevolutionary method and performs better on smaller-scale maps.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"856-864"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150630","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alfonso Vazquez Mendoza;Héctor Francisco Ruiz Paredes
{"title":"Short-Term Day-Ahead Hydrothermal Scheduling with Energy Renewables Variable, Storage, Load Shedding using Artificial Intelligence Techniques for Demand Forecasting","authors":"Alfonso Vazquez Mendoza;Héctor Francisco Ruiz Paredes","doi":"10.1109/TLA.2025.11072500","DOIUrl":"https://doi.org/10.1109/TLA.2025.11072500","url":null,"abstract":"Short-Term Hydrothermal Scheduling (STHS) is a very complex, multimodal, nonlinear optimization problem that has primarily been addressed by conventional and, more recently, metaheuristic optimization algorithms. The objective of conventional STHS is to optimize the hourly energy production of hydroelectric power plants and other generation sources over a specific period of time, allowing for the determination of the optimal economic operation of the Power Electrical System (PES). The conventional STHS formulation is widely used in the planning, analysis and operation of PES. However, nowadays PES incorporate variable renewable generation such as wind and solar photovoltaic power, as well as Energy Storage Systems (ESS), transmission grid models and load shedding scenarios in case of possible operational contingencies. This paper presents a STHS formulated and simulated using nonlinear programming for a day ahead, using artificial neural networks (ANN) for demand forecasting. The integration of wind and solar photovoltaic generation, ESS and cascaded hydroelectric power plants is considered, along with the transmission grid and load shedding models, all within a single optimization problem. The objective is to minimize generation costs and optimize power usage, dispatching the units in the most efficient manner. The efficient assignment of thermal, hydro, solar, wind units and ESS allows for optimal use of available water without exceeding reservoir limits. The formulation is validated using the IEEE 30-node system, obtaining optimal solutions in all scenarios, without the need to relax system constraints for convergence.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 8","pages":"696-705"},"PeriodicalIF":1.3,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11072500","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mario Luiz Tronco;Ingrid Lorena Argote Pedrazza;Emerson Carlos Pedrino;Carlos Roberto Valencio
{"title":"Estimation of fruit number in coffee trees by maturity level, based on color space weighting, using a new segmentation algorithm","authors":"Mario Luiz Tronco;Ingrid Lorena Argote Pedrazza;Emerson Carlos Pedrino;Carlos Roberto Valencio","doi":"10.1109/TLA.2025.11072497","DOIUrl":"https://doi.org/10.1109/TLA.2025.11072497","url":null,"abstract":"Computer vision systems are essential for automating agricultural tasks such as disease detection and fruit defect identification. However, their application in coffee farming faces significant challenges due to environmental variability and the complex structure of coffee trees, which complicate image acquisition. Thus, this study addresses two key questions: 1) Can low-cost, user-friendly equipment adapt to crop conditions while ensuring image quality 2) Can a computer vision algorithm accurately count and classify coffee beans with over 80% accuracy using data from low-cost cameras To answer these questions, an image acquisition system was developed based on the phenological characteristics of coffee plants, ensuring focused and consistent image capture. Additionally, a novel algorithm was created, utilizing statistical analysis of color spaces to effectively separate fruits from the background, segment images, and count fruits. The algorithm achieved accuracy rates, when compared with a traditional approach, within the desired range for each coffee fruit class: green (83%), green-olive (79%), cherry (86%), and raisin (80%). These results demonstrate the potential of this approach for accurate and efficient fruit processing in coffee farming, particularly when images are captured directly from tree branches.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 8","pages":"736-742"},"PeriodicalIF":1.3,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11072497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}