{"title":"A Future-Looking Methodology for Estimating CO2 Emissions Reductions Linked to Transmission Projects That Increase Renewable Generation Capacity","authors":"Rodrigo Rozenblit Tiferes;Jorge Mauricio Areiza Ortiz;Giovanni Manassero Junior","doi":"10.1109/TLA.2026.11488411","DOIUrl":"https://doi.org/10.1109/TLA.2026.11488411","url":null,"abstract":"This paper introduces a methodology that allows estimating, in a future time horizon, the reductions in systemic CO2 emissions associated with transmission projects that allow increasing the dispatch of renewable generation in a given region. This methodology relies on stochastic dual dynamic programming, and by providing quantitative results, reinforces the fundamental role of transmission expansion in the transition towards a scenario of increasingly sustainable grids. This work also presents a case study that consists of estimating the reduction of emissions involved with transmission projects in Southeast Brazil that will enable the flow of +615 MW of photovoltaic and +261 MW of biomass thermal generation, in a future horizon covering eight years. The main results are that the new transmission projects contribute to an average net reduction of about 1.13 million tons of CO2 emissions over the horizon and that, in less than four years, these projects will offset the emissions from their implementation and construction.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 5","pages":"506-518"},"PeriodicalIF":1.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11488411","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147720869","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}
Xu Lu;Haijun Liu;Guang'an Luo;Zhike Chen;Cheng Zhou;Xinyu Wu;Jun Liu
{"title":"GASegNet: Global Self-Attention Mechanism Meets Structural Feature Fusion for Point Cloud Semantic Segmentation","authors":"Xu Lu;Haijun Liu;Guang'an Luo;Zhike Chen;Cheng Zhou;Xinyu Wu;Jun Liu","doi":"10.1109/TLA.2026.11489184","DOIUrl":"https://doi.org/10.1109/TLA.2026.11489184","url":null,"abstract":"With the rapid development of autonomous driving technology, semantic segmentation, as one of the key technologies contributing to the environment perception of autonomous driving systems, still suffers from a lack of connections between local features, as well as high computational consumption and an inability to meet real-time requirements. To address the above problems, this paper proposes a lightweight and efficient point cloud semantic segmentation network based on spherical projection with encoder-decoder structure. The encoder consists of a global self-attention mechanism that captures global information, as well as multi-scale convolution. This module achieves the unification of local feature extraction and global characteristic information for high-dimensional semantic information. In order to alleviate the high computational cost, a feature fusion module is introduced to enhance the compactness of the range image structure obtained from point cloud projection. The decoder utilizes bilinear interpolation to upsample multi-resolution feature maps, and introduces multiple auxiliary segmentation heads to further enhance the network's accuracy. Experiments conducted on the SemanticKITTI and SemanticPOSS datasets reveal that, in comparison to the CENet architecture, the proposed approach attains enhancements in mIoU of 4.3% and 2.6% on the respective datasets, thereby substantiating its efficacy. The code is available at GitHub: https://github.com/haifeng925/GASegNet.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 5","pages":"484-493"},"PeriodicalIF":1.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11489184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147737098","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":"A Switched-Inductor-Capacitor Network-Based Quadratic High-Gain DC-DC Converter","authors":"Vinay Kumar V;Manikanta Kuraganti;Ramulu Chinthamalla","doi":"10.1109/TLA.2026.11488416","DOIUrl":"https://doi.org/10.1109/TLA.2026.11488416","url":null,"abstract":"This article introduces a quadratic high step-up DCDC converter that incorporates a switched inductor-capacitor network. The proposed converter is intended to align the voltage at the output terminals of the converter with the DC link voltage suitable for renewable energy sources such as solar photovoltaic systems and fuel cells. The converter provides a superior voltage conversion ratio over an extensive range of duty cycles. To validate its functionality, the converter is assessed under both Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). The influence of parasitic components is taken into account to precisely evaluate the DC voltage gain. The circuits performance is evaluated against existing topologies concerning the voltage conversion ratio, voltage stresses encountered by the switches, and maximum voltage gain. A 300 W hardware prototype was constructed and evaluated. The proposed converter, operating with a 24 V input source, delivers an output voltage of 380 V as confirmed by experimental results.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 5","pages":"494-505"},"PeriodicalIF":1.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11488416","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147720867","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}
Fabian Andres Lara-Molina;Fran Sergio Lobato;Maicon Fábio Appelt
{"title":"A Multi-Objective Optimization Approach to Coverage Path Planning of Agricultural Drone","authors":"Fabian Andres Lara-Molina;Fran Sergio Lobato;Maicon Fábio Appelt","doi":"10.1109/TLA.2026.11488412","DOIUrl":"https://doi.org/10.1109/TLA.2026.11488412","url":null,"abstract":"Agricultural drones have been widely used in precision agriculture operations due to their high performance and adaptability to outdoor tasks, such as spraying, mapping, and monitoring. Nevertheless, mission planning remains challenging due to the constraints imposed by operational performance under real field conditions. In this work, a novel multi-objective optimization approach for mission planning of agricultural spraying drones is proposed. This approach contemplated an off-line coverage path planning strategy that simultaneously minimizes total mission time and energy consumption. The parameters that define the coverage path are optimized while considering the operational requirements of the spraying tasks. The framework is applied to a real case study using the DJI AGRAS T10 drone in a crop field. The results obtained from the multi-objective optimization demonstrate significant performance gains in terms of reduction in battery energy consumption of up to 14.2% and a mission time decrease of 9.5% when compared to conventional geometric methods. Thus, the proposed method potentially reduces both the drag energy and the mission time. These findings highlight the potential of multi-objective optimization as a decision-support tool to improve the efficiency and sustainability of drone-based spraying operations in agriculture.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 5","pages":"445-455"},"PeriodicalIF":1.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11488412","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147720864","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":"Harmonic Analysis and Pattern Classification of Electrocardiograms for Heart Disease Diagnosis","authors":"Alejandro Vidales-Esquivel;Fernando Ornelas-Tellez;Jose Ortiz-Bejar","doi":"10.1109/TLA.2026.11369468","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369468","url":null,"abstract":"Heart disease is a critical issue in improving people's health. Medical research and technology are being developed to obtain accurate diagnoses and treatments. This paper contributes to designing an automated diagnosis system to classify electrocardiogram (ECG) signals to detect cardiac diseases. With respect to other related works, it has the following distinctive characteristics: it is feasible to be implemented in real time, capable of detecting different heart pathologies, and effective in performance. The proposed system is based on Fourier series analysis, employing a dynamical state observer to instantaneously obtain salient features and patterns from the ECG harmonic content, whose information is classified through a K-nearest neighbor algorithm (KNN), named as the classifier, which determines the possible disease. The ECG signals used in this paper are obtained from the freely available PhysioNet databases, containing data to diagnose and classify healthy patients, arrhythmia cases, myocardial infarction, and heart failure. The proposed automated procedure is 93% effective in disease detection for the explored databases, highlighting its potential as a classification tool for ECG-based diagnosis.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"164-173"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082167","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 February 2026","authors":"","doi":"10.1109/TLA.2026.11369403","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369403","url":null,"abstract":"","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"105-105"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369403","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082180","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":"A Compact Nine-Level Boost Multilevel Inverter Using Novel Switching Control","authors":"Karunakaran Eddu;Suresh Yellasiri;Aditya Kancharapu;Nageswar Rao Bhukya","doi":"10.1109/TLA.2026.11369404","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369404","url":null,"abstract":"Switched-capacitor multilevel inverters (SCMLIs) have gained considerable attention in various power conversion applications due to their inherent voltage boosting capability and reduced component count, eliminating the need for auxiliary sources, transformers, or inductors. This paper proposes a novel nine-level compact boost multilevel inverter (NCBMLI) that employs only ten switches, two capacitors, and a single DC input source to achieve a voltage gain of twice the input voltage. The proposed topology is designed for compactness and cost-effectiveness by minimizing the number of active components per voltage level. Further, to operate the proposed NCBMLI a novel fuzzy logic switching method is implemented, offering a flexible alternative to conventional control methods based on static logic circuits and pre-defined lookup tables. This method utilizes rule-based membership functions (MFs) to generate adaptive switching signals, which enhances the overall performance. A detailed comparative analysis is presented to highlight the advantages of the proposed NCBMLI. Furthermore, the effective performance of the proposed NCBMLI is validated through hardware implementation under varying dynamic load conditions and modulation indices.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"153-163"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369404","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082211","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}
Mauricio Serna Gómez;Hernán Paz Penagos;Jorge Andrés Puerto Acosta
{"title":"Control Methods for Weighing Instruments Based on Electromagnetic Force Compensation: A State-of-the-Art Review","authors":"Mauricio Serna Gómez;Hernán Paz Penagos;Jorge Andrés Puerto Acosta","doi":"10.1109/TLA.2026.11369469","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369469","url":null,"abstract":"This study presents a systematic review of control methods for electromagnetic force compensation (EMFC) weighing cells, a technology extensively employed in high-accuracy weighing instruments across various industrial and scientific sectors. The research was conducted following a structured methodology applied to recognized scientific databases, covering publications from the past decade. The analysis identifies trends and recurring approaches in control design aimed at ensuring stability, accuracy, and high dynamic performance. The results indicate that achieving higher levels of accuracy requires more robust control methods, where the performance of the electronic subsystem comprising the optical sensor, data acquisition system, and digital controller has a decisive impact compared to mechanical improvements. It is concluded that, in the simulated and experimental evaluations reported in the literature, no study has conducted a complete calibration of the EMFC load cell weighing instrument or validated it in an industrial environment. This gap highlights the need for future research to include validations under real operating conditions and to carry out follow-up assessments that enable evaluation of the instruments metrological drift over a specified time period.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"197-214"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369469","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082217","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":"Recommending Move Method Refactoring Opportunities Based on Feature Fusion and Deep Learning","authors":"Yang Zhang;Zhenggang Gu;Nan Zhang;Kun Zheng","doi":"10.1109/TLA.2026.11369405","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369405","url":null,"abstract":"The Move Method refactoring is crucial for mitigating the Feature Envy code smell, which enhances cohesion and reduces coupling by relocating methods to more suitable classes. Existing deep learning approaches often suffer from redundant features, limiting model generalization. To address this, this paper introduces GMove, a novel approach leveraging feature fusion and a hybrid deep learning architecture (Bi-LSTM and CNN branches) to recommend refactoring opportunities. By fusing semantic, structural, and metric features from a constructed 16,828-sample dataset, GMove effectively filters redundant information. Experimental results demonstrate that GMove achieves a high synthetic F1 score of 97.7% and significantly outperforms state-of-the-art refactoring tools, showing an average F1 improvement of 9.7% over the strongest modern baseline, affirming its effectiveness and novel fusion strategy.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"135-143"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082178","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":"Adaptive Remainder Modulo m Data Hiding","authors":"Alexander Chefranov;Gürcü Öz","doi":"10.1109/TLA.2026.11369467","DOIUrl":"https://doi.org/10.1109/TLA.2026.11369467","url":null,"abstract":"A problem of irreversible data hiding (DH), producing stego images resistant to steganalysis, is considered in spatial domain of gray-scale cover images. Stego image detection error (DE) is maximized when data is hidden (embedded) into noisy-like image areas where pixel values vary significantly. It is proved herein that generalization of the well-known least-significant bit (LSB) substitution to remainder modulo m (RM-m) DH method has an embedding invariant preserved after DH. A new adaptive remainder modulo m (ARM-m) method hiding data first in maximal noisy blocks by RM-m is proposed. ARM-m uses the invariant to construct a block complexity measure for adaptation. Ensemble classifiers and subtractive pixel adjacency matrix (SPAM) with 686 features were used to evaluate stego image DE on 886 images from UCID v.2 database. Compared to the state-of-the-art methods, ARM-4 with 2x2 blocks has DE=41.86% versus 24.42% of the best known method for 1 bit per pixel (bpp) embedding rate (ER). For ER=1.33 bpp, not reachable for known adaptive methods, ARM-4 and ARM-16, both with 8x8 blocks, have DE=27.33% and 27.91%, respectively. ARM-4 is confirmed to be better than other methods also for 2658 gray scale images. RS-diagram steganalysis conducted complies with DE evaluation results.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 2","pages":"106-115"},"PeriodicalIF":1.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11369467","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082172","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}