Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334055
Thoutreddy Deepthi Reddy;S Porpandiselvi
In this paper, a three-load resonant inverter (3LRI) with independent power control is proposed for induction cooking (IC) applications. Resonant inverter circuits are commonly employed in induction cookers due to their superior efficiency and capability for soft switching operation. Among the various topologies, the half-bridge series resonant inverter (HBSR) topology is used for its optimal balance between performance and cost. The major advantages of this inverter circuit with cyclic ON and OFFcontrol include simple, independent power control for every load, high efficiency for wide range of power variations, soft-switching and reduced number of switches per load. This configurationcan be easily extended for multiple loads by addition of another inverter legs. This configuration has been simulated using PSIM software. A 629 W experimental prototype is built to verify thetheoretical analysis. A peak efficiency of 96.1% is obtained. The experimental results confirm that this inverter configuration is a viable approach for multi-load induction cooking applications.
{"title":"Soft-switched Induction Cooking System with Reduced Switch Count and Independent Control for Multiple Loads","authors":"Thoutreddy Deepthi Reddy;S Porpandiselvi","doi":"10.1109/TLA.2026.11334055","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334055","url":null,"abstract":"In this paper, a three-load resonant inverter (3LRI) with independent power control is proposed for induction cooking (IC) applications. Resonant inverter circuits are commonly employed in induction cookers due to their superior efficiency and capability for soft switching operation. Among the various topologies, the half-bridge series resonant inverter (HBSR) topology is used for its optimal balance between performance and cost. The major advantages of this inverter circuit with cyclic ON and OFFcontrol include simple, independent power control for every load, high efficiency for wide range of power variations, soft-switching and reduced number of switches per load. This configurationcan be easily extended for multiple loads by addition of another inverter legs. This configuration has been simulated using PSIM software. A 629 W experimental prototype is built to verify thetheoretical analysis. A peak efficiency of 96.1% is obtained. The experimental results confirm that this inverter configuration is a viable approach for multi-load induction cooking applications.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"64-75"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982305","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}
The monitoring and supervision of complex infrastructures, such as the dams and dikes of the Belo Monte Hydroelectric Plant, demand continuous data collection and analysis from various instruments (e.g., piezometers, surface markers, flow meters). In the context of structural health monitoring, recent advances propose the use of machine learning to recognize patterns and detect anomalies in monitoring data. This study presents a web-based application designed to support the early detection of structural anomalies through machine learning algorithms for anomaly detection, coupled with an interactive dashboard for data visualization. The system enables the establishment of baseline structural behavior and the identification of deviations that may indicate potential risks. Models were trained and tested with historical data, and multiple visualization tools were developed to facilitate the interpretation of results by engineers and decision-makers. The outcomes demonstrate that the proposed solution introduces innovative and effective technologies for the structural monitoring domain, contributing to the modernization of diagnostic processes and enhancing safety in critical energy infrastructure.
{"title":"SMB: Web-Based Dam Monitoring and Data Analysis System","authors":"Raimundo Neto;Victor Souza;Max Júnior;Iury Silva;Luiz Samico;Adam Santos;Reginaldo Santos;Hugo Kuribayashi;Carlos Frânces;João Costa","doi":"10.1109/TLA.2026.11334048","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334048","url":null,"abstract":"The monitoring and supervision of complex infrastructures, such as the dams and dikes of the Belo Monte Hydroelectric Plant, demand continuous data collection and analysis from various instruments (e.g., piezometers, surface markers, flow meters). In the context of structural health monitoring, recent advances propose the use of machine learning to recognize patterns and detect anomalies in monitoring data. This study presents a web-based application designed to support the early detection of structural anomalies through machine learning algorithms for anomaly detection, coupled with an interactive dashboard for data visualization. The system enables the establishment of baseline structural behavior and the identification of deviations that may indicate potential risks. Models were trained and tested with historical data, and multiple visualization tools were developed to facilitate the interpretation of results by engineers and decision-makers. The outcomes demonstrate that the proposed solution introduces innovative and effective technologies for the structural monitoring domain, contributing to the modernization of diagnostic processes and enhancing safety in critical energy infrastructure.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"6-14"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982188","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334047
Jussif Abularach Arnez;Rafael Monteiro Ribeiro;Janislley Oliveira de Sousa;Maria Gabriela Lima Damasceno;Bruno Satiro da Silva;Gidy Carolina Florez Navarro
When evaluating battery consumption in mobile devices in the fifth-generation (5G) network, it is crucial to consider the display technology used, as different technologies consume varying amounts of energy. Liquid Crystal Display (LCD) and Dynamic Active Matrix Organic Light-Emitting Diode (AMOLED) are two prevalent display technologies. LCD is an older technology that remains widely used due to its affordability and widespread availability. On the other hand, Dynamic AMOLED is a more advanced display technology in modern smartphones. Typing on a keyboard, swiping through screens, and using voice commands consume different amounts of power. This paper aims to analyze the current consumption of display technologies, in different baseline scenarios, and text input methods. A comparative analysis was conducted between smartphones equipped with LCD and Dynamic AMOLED displays. The results demonstrated that Dynamic AMOLED technology consistently saved energy, achieving reductions of up to approximately 40% in specific modes such as standby or reading. In contrast, PLS LCD has around 30% higher average current consumption than Dynamic AMOLED. Dynamic AMOLED offers notable advantages in energy savings under specific modes, understanding the nuances between display technologies and input modalities helps users and manufacturers of 5G mobile devices make informed decisions about smartphone selection and usage patterns.
{"title":"Current Consumption Analysis of LCD and AMOLED Display Technologies: An Approach Based on Multi-Text Input Modalities","authors":"Jussif Abularach Arnez;Rafael Monteiro Ribeiro;Janislley Oliveira de Sousa;Maria Gabriela Lima Damasceno;Bruno Satiro da Silva;Gidy Carolina Florez Navarro","doi":"10.1109/TLA.2026.11334047","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334047","url":null,"abstract":"When evaluating battery consumption in mobile devices in the fifth-generation (5G) network, it is crucial to consider the display technology used, as different technologies consume varying amounts of energy. Liquid Crystal Display (LCD) and Dynamic Active Matrix Organic Light-Emitting Diode (AMOLED) are two prevalent display technologies. LCD is an older technology that remains widely used due to its affordability and widespread availability. On the other hand, Dynamic AMOLED is a more advanced display technology in modern smartphones. Typing on a keyboard, swiping through screens, and using voice commands consume different amounts of power. This paper aims to analyze the current consumption of display technologies, in different baseline scenarios, and text input methods. A comparative analysis was conducted between smartphones equipped with LCD and Dynamic AMOLED displays. The results demonstrated that Dynamic AMOLED technology consistently saved energy, achieving reductions of up to approximately 40% in specific modes such as standby or reading. In contrast, PLS LCD has around 30% higher average current consumption than Dynamic AMOLED. Dynamic AMOLED offers notable advantages in energy savings under specific modes, understanding the nuances between display technologies and input modalities helps users and manufacturers of 5G mobile devices make informed decisions about smartphone selection and usage patterns.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"84-97"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982256","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}
This study presents the design and implementation of a prototype Remote Monitoring System (RMS) adapted to the climatic and geographic conditions of the Colombian amazon rainforest. The system has been developed to address the challenges faced by monitoring and conservation efforts in protected areas. The prototype integrates three modules: a remote sensing module using radar technology and a pan-tilt-zoom (PTZ) camera to detect and visualize unauthorized activities; a telecommunications module employing a satellite system for real-time data transmission; and an autonomous power supply module based on a photovoltaic system. The system's functionality was assessed through a field experiment in the Amacayacu National Natural Park, where its capacity to monitor the real-time movement of vessels on the Amacayacu River, identify potential threats, and generate e-mail alerts with pertinent information was evaluated.
{"title":"Design of a prototype remote monitoring system for the protection and conservation of territories in the Colombian Amazon Rainforest","authors":"Jorge Andres Torres Cepeda;Oscar Leonardo Riveros Perez;María Patricia Barajas Salamanca;Jhonatan Camilo Chamorro Ceron;Cristian Andrés Triana Infante;Gloria Margarita Varón Durán","doi":"10.1109/TLA.2026.11334053","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334053","url":null,"abstract":"This study presents the design and implementation of a prototype Remote Monitoring System (RMS) adapted to the climatic and geographic conditions of the Colombian amazon rainforest. The system has been developed to address the challenges faced by monitoring and conservation efforts in protected areas. The prototype integrates three modules: a remote sensing module using radar technology and a pan-tilt-zoom (PTZ) camera to detect and visualize unauthorized activities; a telecommunications module employing a satellite system for real-time data transmission; and an autonomous power supply module based on a photovoltaic system. The system's functionality was assessed through a field experiment in the Amacayacu National Natural Park, where its capacity to monitor the real-time movement of vessels on the Amacayacu River, identify potential threats, and generate e-mail alerts with pertinent information was evaluated.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"98-104"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982261","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334051
Miguel Angel Ortega Palacios;Amparo Palomino-Merino;Fernando Reyes Cortés
Humanoid robots have been extensively studied by the scientific community to understand and replicate human motion during specific tasks. In recent years, numerous methods and strategies have been proposed to develop mathematical models that describe humanoid dynamics. Common approaches include analytical methods, geometric modeling, and the DenavitHartenberg convention. In this study, we propose a recursive method based on Eulers analytical mechanics and the use of the properties of the skew-symmetric matrix to address key modeling challenges, such as forward kinematics, differential kinematics, linear velocity, angular velocity, kinetic energy, potential energy, and the EulerLagrange equations of an 18 degrees of freedom (DOF) humanoid robot. A controller based on the hyperbolic tangent function is proposed to implement joint position control. Simulation results are presented using MATLAB/Simulink.
{"title":"Modeling of an 18 DoF Humanoid Robot Using a Recursive Analytical Method","authors":"Miguel Angel Ortega Palacios;Amparo Palomino-Merino;Fernando Reyes Cortés","doi":"10.1109/TLA.2026.11334051","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334051","url":null,"abstract":"Humanoid robots have been extensively studied by the scientific community to understand and replicate human motion during specific tasks. In recent years, numerous methods and strategies have been proposed to develop mathematical models that describe humanoid dynamics. Common approaches include analytical methods, geometric modeling, and the DenavitHartenberg convention. In this study, we propose a recursive method based on Eulers analytical mechanics and the use of the properties of the skew-symmetric matrix to address key modeling challenges, such as forward kinematics, differential kinematics, linear velocity, angular velocity, kinetic energy, potential energy, and the EulerLagrange equations of an 18 degrees of freedom (DOF) humanoid robot. A controller based on the hyperbolic tangent function is proposed to implement joint position control. Simulation results are presented using MATLAB/Simulink.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"43-52"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982300","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334052
Lucas Ferreira Quintão Moreira;Agnaldo José da Rocha Reis;Alan Kardek Rêgo Segundo
Given the increasing number of dengue cases in Brazil, accurately identifying vector mosquitoes is essential for effective control and prevention strategies. This study proposes a classification model capable of distinguishing Aedes aegypti and Aedes albopictus based on wing images from the WingBank database of the Butantan Institute. Two convolutional neural network architectures, MobileNetV2 and EfficientNet-B0, were evaluated. Data augmentation was applied to address the limited number of samples. The models were tested on a Cortex-A processor, demonstrating that high-accuracy mosquito classification can be achieved on embedded devices. These results highlight the potential of the proposed approach to support scalable, real-time mosquito monitoring and vector control systems.
{"title":"Wing-Based Identification of Dengue Vector Mosquitoes Using Convolutional Neural Networks","authors":"Lucas Ferreira Quintão Moreira;Agnaldo José da Rocha Reis;Alan Kardek Rêgo Segundo","doi":"10.1109/TLA.2026.11334052","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334052","url":null,"abstract":"Given the increasing number of dengue cases in Brazil, accurately identifying vector mosquitoes is essential for effective control and prevention strategies. This study proposes a classification model capable of distinguishing Aedes aegypti and Aedes albopictus based on wing images from the WingBank database of the Butantan Institute. Two convolutional neural network architectures, MobileNetV2 and EfficientNet-B0, were evaluated. Data augmentation was applied to address the limited number of samples. The models were tested on a Cortex-A processor, demonstrating that high-accuracy mosquito classification can be achieved on embedded devices. These results highlight the potential of the proposed approach to support scalable, real-time mosquito monitoring and vector control systems.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"53-63"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982159","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334054
Daniel Ulises Campos Delgado
Editorial of inaugural edition of IEEE Latin America Transactions in 2026.
2026年IEEE拉丁美洲交易创刊号社论。
{"title":"Editorial 2026","authors":"Daniel Ulises Campos Delgado","doi":"10.1109/TLA.2026.11334054","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334054","url":null,"abstract":"Editorial of inaugural edition of IEEE Latin America Transactions in 2026.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"2-5"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982166","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334050
Reynier Leyva La O;Carlos A. Catania;Rodrigo Gonzalez
Domain Generation Algorithms (DGAs) have evolved beyond traditional pseudorandom patterns, with wordlist-based variants generating linguistically coherent domains that evade conventional detection methods. While previous research has primarily focused on generalist detection approaches across multiple DGA types, systematic expert model selection specifically targeting wordlist-based variants remains largely unexplored. This work addresses expert model selection for wordlist-based DGA detection, where expert models refer to specialized architectures trained exclusively on specific DGA categories. We conduct systematic evaluation of seven candidate models across transformer, convolutional neural network (CNN), and traditional machine learning approaches. Models were trained on a balanced dataset of 160,000 domains spanning eight wordlist-based DGA families and evaluated using a rigorous two-phase protocol that measures both performance on training families and generalization to previously unseen variants. Our comparative analysis identifies fine-tuned ModernBERT as the optimal expert model, achieving 86.7% F1-score on known families while maintaining 80.9% performance on unknown families with 26ms inference time on NVIDIA Tesla T4 GPUs, enabling processing of approximately 38 domains per second. The study validates that domain-specific expert training significantly outperforms generalist approaches trained on diverse DGA families, with F1-score improvements of 9.4% on familiar variants and 30.2% on unseen families. This performance gain indicates that focused expertise develops transferable linguistic patterns rather than memorization of specific family characteristics.
领域生成算法（DGAs）已经超越了传统的伪随机模式，使用基于词表的变体生成语言上连贯的领域，从而逃避传统的检测方法。虽然以前的研究主要集中在跨多个DGA类型的通才检测方法上，但专门针对基于词表的变体的系统专家模型选择在很大程度上仍未被探索。这项工作解决了基于词表的DGA检测的专家模型选择，其中专家模型指的是专门针对特定DGA类别训练的专门架构。我们对变压器、卷积神经网络（CNN）和传统机器学习方法中的七个候选模型进行了系统评估。模型在横跨8个基于词表的DGA家族的160,000个域的平衡数据集上进行训练，并使用严格的两阶段协议进行评估，该协议测量训练家族的性能和对以前未见过的变体的泛化。我们的对比分析表明，经过微调的ModernBERT是最优的专家模型，在NVIDIA Tesla T4 gpu上，以26ms的推理时间，在已知家族上获得86.7%的f1分数，同时在未知家族上保持80.9%的性能，每秒可以处理大约38个域。该研究证实，特定领域的专家训练明显优于在不同DGA家族上训练的通才方法，在熟悉的变体上的f1分数提高了9.4%，在未知的家族上的f1分数提高了30.2%。这种表现的提高表明，专注的专业知识发展了可转移的语言模式，而不是特定家庭特征的记忆。
{"title":"Expert Selection for Wordlist-Based DGA Detection","authors":"Reynier Leyva La O;Carlos A. Catania;Rodrigo Gonzalez","doi":"10.1109/TLA.2026.11334050","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334050","url":null,"abstract":"Domain Generation Algorithms (DGAs) have evolved beyond traditional pseudorandom patterns, with wordlist-based variants generating linguistically coherent domains that evade conventional detection methods. While previous research has primarily focused on generalist detection approaches across multiple DGA types, systematic expert model selection specifically targeting wordlist-based variants remains largely unexplored. This work addresses expert model selection for wordlist-based DGA detection, where expert models refer to specialized architectures trained exclusively on specific DGA categories. We conduct systematic evaluation of seven candidate models across transformer, convolutional neural network (CNN), and traditional machine learning approaches. Models were trained on a balanced dataset of 160,000 domains spanning eight wordlist-based DGA families and evaluated using a rigorous two-phase protocol that measures both performance on training families and generalization to previously unseen variants. Our comparative analysis identifies fine-tuned ModernBERT as the optimal expert model, achieving 86.7% F1-score on known families while maintaining 80.9% performance on unknown families with 26ms inference time on NVIDIA Tesla T4 GPUs, enabling processing of approximately 38 domains per second. The study validates that domain-specific expert training significantly outperforms generalist approaches trained on diverse DGA families, with F1-score improvements of 9.4% on familiar variants and 30.2% on unseen families. This performance gain indicates that focused expertise develops transferable linguistic patterns rather than memorization of specific family characteristics.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"33-42"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982298","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}
Pub Date : 2026-01-12DOI: 10.1109/TLA.2026.11334046
Santiago Elian Mallerman;Juan Pablo Pascual;Jorge Cogo
This work presents the development of the digital back-end of a pulsed radar based on Field Programmable Gate Array (FPGA) technology. The development includes the stages dedicated to the generation of diverse baseband signals, including square pulses, chirps, and Barker codes, and the processing of the received signal through a series of correlators with adaptable sampling rates for pulse compression and oversampling scenarios. The system is physically implemented taking advantage of the facilities offered by a FlexRIO development platform, as well as the associated development environment. The system parameters, like pulse duration, guard interval, and pulse repetition period, as well as parameters specific to each modulation scheme, are widely adjustable to meet user requirements such as maximum range, Doppler resolution and sensitivity. The stages of signal generation are verified digitally through experimental tests using RF measurement equipment, demonstrating a high consistency between them and what is theoretically predicted. The correlation stage is validated using a synthetic target generated by a digital delay and including a noisy channel, showing a strong correlation between the obtained output and the theoretical expectation. These results constitute an important advance in the development of a low-power, reconfigurable monostatic pulsed radar platform that will serve as a versatile testbed for algorithmic experimentation.
{"title":"Development of FPGA-Based Radar Back-End","authors":"Santiago Elian Mallerman;Juan Pablo Pascual;Jorge Cogo","doi":"10.1109/TLA.2026.11334046","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334046","url":null,"abstract":"This work presents the development of the digital back-end of a pulsed radar based on Field Programmable Gate Array (FPGA) technology. The development includes the stages dedicated to the generation of diverse baseband signals, including square pulses, chirps, and Barker codes, and the processing of the received signal through a series of correlators with adaptable sampling rates for pulse compression and oversampling scenarios. The system is physically implemented taking advantage of the facilities offered by a FlexRIO development platform, as well as the associated development environment. The system parameters, like pulse duration, guard interval, and pulse repetition period, as well as parameters specific to each modulation scheme, are widely adjustable to meet user requirements such as maximum range, Doppler resolution and sensitivity. The stages of signal generation are verified digitally through experimental tests using RF measurement equipment, demonstrating a high consistency between them and what is theoretically predicted. The correlation stage is validated using a synthetic target generated by a digital delay and including a noisy channel, showing a strong correlation between the obtained output and the theoretical expectation. These results constitute an important advance in the development of a low-power, reconfigurable monostatic pulsed radar platform that will serve as a versatile testbed for algorithmic experimentation.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"76-83"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982192","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}
Gait analysis is a key component in rehabilitation processes, enabling the detection of functional impairments and supporting personalized interventions. In recent years, the integration of computer-based systems has enhanced the objectivity, accuracy, and accessibility of gait evaluations. This scoping review maps the scientific evidence on the development and implementation of local and remote systems for gait assessment, published between 2016 and February 2025. The search was conducted in scientific databases (PubMed, Scopus, IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect) and grey literature, following the Joanna Briggs Institute (JBI) methodology. A total of 100 documents were included. The identified systems were classified according to their technical complexity (robust or simple) and operational architecture (local or remote). The findings highlight current technological trends and reveal gaps in the implementation of these systems in clinical and community settings.
{"title":"Computer systems for analyzing and evaluating human gait: A scoping review","authors":"Isabella Chavez Serna;Samara Patiño Zapata;Sofia Serna Echeverry;Gloria Patricia Arango Hoyos;Lessby Gómez-Salazar;Sergey González-Mejía","doi":"10.1109/TLA.2026.11334049","DOIUrl":"https://doi.org/10.1109/TLA.2026.11334049","url":null,"abstract":"Gait analysis is a key component in rehabilitation processes, enabling the detection of functional impairments and supporting personalized interventions. In recent years, the integration of computer-based systems has enhanced the objectivity, accuracy, and accessibility of gait evaluations. This scoping review maps the scientific evidence on the development and implementation of local and remote systems for gait assessment, published between 2016 and February 2025. The search was conducted in scientific databases (PubMed, Scopus, IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect) and grey literature, following the Joanna Briggs Institute (JBI) methodology. A total of 100 documents were included. The identified systems were classified according to their technical complexity (robust or simple) and operational architecture (local or remote). The findings highlight current technological trends and reveal gaps in the implementation of these systems in clinical and community settings.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"24 1","pages":"15-32"},"PeriodicalIF":1.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11334049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982277","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}
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