IEEE Latin America Transactions最新文献

Impedance Space Method: Time-Independent Parametric Ellipses for Robot Compliant Control 阻抗空间法：机器人柔顺控制的时无关参数椭圆

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194775

Leonardo F. Dos Santos;Cícero Zanette;Elisa G. Vergamini;Lucca Maitan;Thiago Boaventura

引用次数: 0

A Novel Methodology for Determining Steady-State Security Regions Using Artificial Neural Networks in Near Real-Time Applications 在近实时应用中利用人工神经网络确定稳态安全区域的新方法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194778

Guilherme De Oliveira Alves;João Alberto Passos Filho

{"title":"A Novel Methodology for Determining Steady-State Security Regions Using Artificial Neural Networks in Near Real-Time Applications","authors":"Guilherme De Oliveira Alves;João Alberto Passos Filho","doi":"10.1109/TLA.2025.11194778","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194778","url":null,"abstract":"The increasing penetration of variable renewable energy sources, such as photovoltaic and wind power, poses significant challenges to the real-time security assessment of power systems. In this context, the Steady-State Security Regions framework has emerged as a robust tool for voltage security assessment, providing valuable insights into the steady-state operating limits of electrical networks. However, the computational burden associated with determining these regions during system operation remains a major obstacle for current methodologies. This paper presents a novel approach for efficiently identifying these regions using artificial neural networks, enabling the fast and accurate delineation of security boundaries suitable for real-time and near-real-time applications. The methodology was validated on the IEEE 9-Bus and New England test systems, achieving accuracy comparable to conventional techniques while reducing computational time by up to 96%. The results underscore the potential of the proposed method as a scalable and effective tool to support operational decision-making in power systems with high shares of renewable generation.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1060-1069"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194778","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236703","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}

引用次数: 0

A P-type Modified Quadratic Gain Buck-Boost Converter for DC Microgrids 一种用于直流微电网的p型改进二次增益降压变换器

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194769

Raviteja P.;Narasimharaju B.L.;Naresh S.V.K.

引用次数: 0

Radio Coverage Analysis of a 4G Network in Ambato's Center 安巴托中心4G网络无线电覆盖分析

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194773

Bryan Manzano;Robert Rodríguez;David Moreno;Jefferson Ribadeneira

{"title":"Radio Coverage Analysis of a 4G Network in Ambato's Center","authors":"Bryan Manzano;Robert Rodríguez;David Moreno;Jefferson Ribadeneira","doi":"10.1109/TLA.2025.11194773","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194773","url":null,"abstract":"This study presents a radio coverage analysis of the 4G LTE network operated by Ecuadors National Telecommunications Corporation (CNT) in Ambatos Historic Center, a dense urban area with complex topography. Over a seven day period, field measurements of the Reference Signal Received Power (RSRP) were collected along 13 primary and 19 secondary streets using two mobile devices on mid-range and one low equipped with the Network Cell Info Lite application. Both pedestrian and vehicular scenarios were evaluated, and compliance with the regulatory parameter SMA-QoS-9, established by Ecuadors Telecommunications Regulation and Control Agency (ARCOTEL), was assessed based on minimum power ( 100 dBm) and location coverage ( 95%). Results revealed that measured coverage fell below the regulatory threshold, with average compliance levels of 84.71% for pedestrian data and 76.77% for vehicular data, while simulated results based on official base station parameters reached 100% coverage. A 2.43 dB discrepancy in RSRP was observed between pedestrian and vehicular measurements, attributed to Doppler effects, signal obstruction, and multipath propagation. The proposed low-cost and accessible methodology is shown to be effective for in assessing real-world LTE performance, enabling operators and regulators to identify critical coverage gaps and calibrate network simulators. These findings support service improvement strategies and provide a foundation for efficient 5G NR deployment in similar urban environments.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1099-1108"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194773","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236672","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}

引用次数: 0

Flexible Low-Temperature RF Plasma Source for Biomedical Applications 生物医学应用的柔性低温射频等离子体源

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194766

Rosendo Peña-Eguiluz;Antonio Mercado-Cabrera;Alma Hernández-Arias;Benjamín Rodríguez-Méndez;Régulo López-Callejas;Raúl Valencia-Alvarado;Bethsabet Jaramillo-Sierra

{"title":"Flexible Low-Temperature RF Plasma Source for Biomedical Applications","authors":"Rosendo Peña-Eguiluz;Antonio Mercado-Cabrera;Alma Hernández-Arias;Benjamín Rodríguez-Méndez;Régulo López-Callejas;Raúl Valencia-Alvarado;Bethsabet Jaramillo-Sierra","doi":"10.1109/TLA.2025.11194766","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194766","url":null,"abstract":"A flexible low-temperature plasma (LTP) source device was developed utilizing a radiofrequency (RF) generator coupled to a coaxial cable through a homemade L-shape matching network and a supple plastic hose that conveys a gas flow and shields the coaxial cable up to the reactors nozzle. The impedance matching network provides an electric power transfer of minimum of 94.11% operating under normal conditions. The LTP device arrangement is described, and later characterized via optical emission spectroscopy and electric power consumption. This procedure is essential to determine the adequate application of the generated plasma over heat-sensitive materials, primarily organic matter, to provide adequate information about its physicochemical activity. The produced LTP interacts with surrounding air particles, generating reactive oxygen and nitrogen species (RONS) that exhibit bactericidal and antiseptic properties due to their strong biochemical reactivity. The electromagnetic irradiation, ultraviolet (UV) emission, and thermal surface effect produced under normal working conditions of the LTP source device are safe to apply to heat-sensitive matter. The devices inactivation property was validated through qualitative deactivation trials of Escherichia coli and Enterococcus faecalis and quantitative deactivation trials of Escherichia coli. The device inactivated 99.996% of E. coli at a concentration of 3.6106 colony forming units per mL (CFU/mL) in 180 s at 16 W, this result corresponds to a 4.43-log10 reduction in E. coli viability.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1131-1142"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194766","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236681","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}

引用次数: 0

Defect Detection in Printed Circuit Boards: A Comparative Analysis of Object Detection Models with Depthwise Convolution Adaptation 印刷电路板缺陷检测：深度卷积自适应目标检测模型的比较分析

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194776

Julio Martins;Josue Lopez-Cabrejos;Quefren Leher;Thuanne Paixão;Ana Beatriz Alvarez;Facundo Palomino-Quispe

{"title":"Defect Detection in Printed Circuit Boards: A Comparative Analysis of Object Detection Models with Depthwise Convolution Adaptation","authors":"Julio Martins;Josue Lopez-Cabrejos;Quefren Leher;Thuanne Paixão;Ana Beatriz Alvarez;Facundo Palomino-Quispe","doi":"10.1109/TLA.2025.11194776","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194776","url":null,"abstract":"Printed circuit boards (PCBs) are key components in the electronics industry, and ensuring their integrity is essential for reliable manufacturing. Automated inspection systems based on computer vision, although efficient, face challenges. In this scenario, deep learning techniques have become effective solutions for detecting defects in more modern and complex PCBs. This article presents a comparative study between the YOLOv8n, YOLOv11n and RT-DETRv2 models for identifying defects in PCBs. The experiments were conducted using the PKU-Market-PCB dataset, which includes Missing Hole, Mouse Bite, Open Circuit, Short Circuit, Spur and Spurious Copper defects. To reduce the computational cost, modified versions of YOLOv8n and YOLOv11n with Depthwise convolution blocks (YOLOv8-DWConv and YOLOv11-DWConv). The analysis includes quantitative and qualitative comparisons. In addition, the robustness of the models is evaluated under challenging conditions with blur and illumination gradient noise. The results indicate that YOLOv11n achieves the best overall performance, while YOLOv11n-DWConv offers a competitive balance between precision and computational efficiency.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1001-1010"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236683","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}

引用次数: 0

Comparative Between Artificial Neural Networks and Multiple Linear Regression for the Estimation of Mechanical Properties in Cast Aluminum 人工神经网络与多元线性回归预测铸铝力学性能的比较

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194771

Diana Guadalupe Molina Bermúdez;José Antonio Vázquez López;Juan Israel Yañez Vargas;Claudia Alejandra Gallegos Sánchez

{"title":"Comparative Between Artificial Neural Networks and Multiple Linear Regression for the Estimation of Mechanical Properties in Cast Aluminum","authors":"Diana Guadalupe Molina Bermúdez;José Antonio Vázquez López;Juan Israel Yañez Vargas;Claudia Alejandra Gallegos Sánchez","doi":"10.1109/TLA.2025.11194771","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194771","url":null,"abstract":"Metallic materials are composed of elements with defined chemical composition, and their intrinsic atomic arrangement confers them a distinctive crystalline structure. Thus, it is relevant to study of metallic materials, specifically cast aluminum alloys, whose physical and mechanical properties depend inherently on their chemical composition. Regarding the importance of mechanical properties, such as hardness, elastic modulus and ultimate tensile strength in optimizing industrial performance, it becomes essential to employ robust methods for their estimation. This study examines the computational estimation of mechanical properties from the chemical composition of various cast aluminum alloys. Two estimation modeling approaches were employed: Artificial Neural Networks (ANNs) and Multiple Linear Regression (MLR). Model performance was evaluated using three statistical metrics: Mean Absolute Error (MAE), which measures the average magnitude of errors; Root Mean Square Error (RMSE), which emphasizes larger error; and Mean Absolute Percentage Error (MAPE), which evaluates the percentage error relative to observed values. The results revealed that the ANN model exhibited superior estimation accuracy across all metrics when compared to the MLR approach. Specifically, the ANN model achieved lower values of MAE and RMSE, indicating more precise estimations and a significantly reduced MAPE, demonstrating improved reliability in estimating mechanical properties. These finding underscore the potential of ANNs as a more effective tool for estimating the mechanical performance of cast aluminum alloys based on their chemical composition. Additionally, the estimation capacity of both models was externally validated using experimental data reported in the literature, enhancing the reliability of the findings.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"960-968"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194771","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236700","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}

引用次数: 0

Performance Enhancement of SWIPT by Utilizing the Distance Dependent Bandwidth of Underwater Channel for Cooperative NOMA based UASNs 利用水下信道距离相关带宽增强基于协同NOMA的uasn的SWIPT性能

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194762

Harigovindan V P;Deepa R;Goutham Veerapu

{"title":"Performance Enhancement of SWIPT by Utilizing the Distance Dependent Bandwidth of Underwater Channel for Cooperative NOMA based UASNs","authors":"Harigovindan V P;Deepa R;Goutham Veerapu","doi":"10.1109/TLA.2025.11194762","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194762","url":null,"abstract":"Underwater acoustic sensor networks (UASNs) support a variety of oceanic applications but suffer from limited communication bandwidth, reliability, and energy efficiency. Cooperative non-orthogonal multiple access (CNOMA) with simultaneous wireless information and power transfer (SWIPT) schemes are proposed for UASNs to meet these constraints. The unique characteristic of underwater acoustic channels compared to terrestrial wireless channels is the distance-dependent bandwidth, which provides additional bandwidth to the near user compared to the far user in NOMA-based UASNs. In this research work, we propose to enhance the performance of power splitting (PS) and time switching (TS) SWIPT schemes by utilizing this additional bandwidth at the near user in NOMA-based UASNs. We consider a CNOMA-based UASN and derive closed-form expressions for average achievable rates, energy efficiency, and outage probability with improved PS-SWIPT and TS-SWIPT schemes. From the analytical results, it is evident that the average achievable rate, energy efficiency and outage probability performances are significantly improved with the proposed methods. The analytical results are corroborated with extensive simulation studies.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"980-988"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236706","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}

引用次数: 0

A method based on ontologies to support the automatic management of knowledge about Covid-19 基于本体的新冠肺炎知识自动管理方法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194763

Samia Allaoua-Chelloug;Gilberto Fernando Castro Aguilar;Nemury Silega;Inelda Martillo Alcívar;Mohammed Saleh Ali Muthanna;Ahmed Aziz

{"title":"A method based on ontologies to support the automatic management of knowledge about Covid-19","authors":"Samia Allaoua-Chelloug;Gilberto Fernando Castro Aguilar;Nemury Silega;Inelda Martillo Alcívar;Mohammed Saleh Ali Muthanna;Ahmed Aziz","doi":"10.1109/TLA.2025.11194763","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194763","url":null,"abstract":"The importance of integration and retrieval of data is growing more and more in the context of post-COVID-19 analysis because of the increased generation of data in research and resources for studying COVID-19. In this context, the analysis of contagion groups that share some specific feature (for example, people that work together, people with the same clinical manifestation, etc.) may offer remarkable insights about COVID-19. For instance, it can be helpful to recognize the behavior of this disease in accordance with the unique characteristics of a group of people. In this regard, ontologies are a widely accepted alternative for representing and analyzing knowledge. Given their benefits, this paper introduces an ontology-based method to formally describe and analyze information about specific groups of people with COVID-19. Since the ontology was specified in OWL, a formal language based on description logics, it enables the consistency of the represented information to be verified and use automatic reasoning to deduce new knowledge. This approach allows modeling a wide variety of characteristics (symptoms, comorbidities, treatments, etc.) of the individuals and consequently use it to infer the general characteristics of the groups that they belong to. Hence, a reasoner can be applied to perform advanced analysis either to identify patterns in these groups or to find similarity with other groups. To demonstrate the applicability of this method, a case study is described. In addition, the ontology was used to represent and analyze the information of a sample of patients extracted from a public dataset. The results demonstrate the capability of the ontology to represent and analyze information about specific groups of people with COVID-19.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"969-979"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236653","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}

引用次数: 0

Non-intrusive load disaggregation based on digital signal processing for microcontroller application 基于数字信号处理的非侵入式负载分解在单片机中的应用

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194772

Maximiliano Véliz;Alejandro Otero

引用次数: 0