IEEE Latin America Transactions最新文献_第8页

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

A Review of Thermal Behavior of Floating Photovoltaic Under Tropical Climates 热带气候条件下浮动光伏热性能研究进展

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194770

Antonio Wellington Dantas da Costa;Leticia Oliveira Santos;Paulo César Marques de Carvalho

引用次数: 0

Performance evaluation of emotion recognition algorithms in Brazilian Portuguese language audios 情感识别算法在巴西葡萄牙语音频中的性能评价

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194760

Omar Silva;Luisa Medina Fermino Carlos;Felipe Corchs;Fátima L. S. Nunes;Ariane Machado-Lima

{"title":"Performance evaluation of emotion recognition algorithms in Brazilian Portuguese language audios","authors":"Omar Silva;Luisa Medina Fermino Carlos;Felipe Corchs;Fátima L. S. Nunes;Ariane Machado-Lima","doi":"10.1109/TLA.2025.11194760","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194760","url":null,"abstract":"Emotion recognition in humans is a multidisciplinary field that involves analyzing several types of data. Computational techniques in pattern recognition and machine learning have been applied to emotion analysis using various modalities, including gestures and facial expressions (visual signals), the lexical content of spoken or written language (textual signals), and the sound of speech (acoustic signals). Acoustic analysis leverages characteristics of speech such as frequency, tone, intensity, and harmonics, which are strongly linked to emotional states. This type of acoustic analysis has numerous applications, such as examining relationships through dialogue, enhancing human-machine interaction, and detecting psychiatric disorders, among others. While the performance of audio-based emotion recognition algorithms is well explored in several languages, there is a notable gap in the literature regarding emotion recognition in audio dialogues in Portuguese. This article aims to address this gap by evaluating the performance of three algorithms that use different models to recognize discrete emotions, happiness, anger, fear, disgust, sadness, surprise, and neutral, in Brazilian Portuguese audios. The results indicate that significant advancements are still needed for effective emotion recognition in this language.Among the algorithms studied, the maximum accuracy and F1-score achieved were 0.53, and no peer-reviewed publications were found, specifically on emotion recognition in Portuguese involving multiple datasets.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"940-949"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194760","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236682","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

Tracking of discrete-time unmodeled reference signals in robotic manipulators using output regulation theory and high-gain observers 基于输出调节理论和高增益观测器的机械臂离散未建模参考信号跟踪

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194765

Ricardo Tapia-Herrera;Tonatiuh Hernádez-Cortés;Alexis Rojas-Ruiz;Beatriz A. Jaime-Fonseca;Jesus Alberto Meda-Campaña

{"title":"Tracking of discrete-time unmodeled reference signals in robotic manipulators using output regulation theory and high-gain observers","authors":"Ricardo Tapia-Herrera;Tonatiuh Hernádez-Cortés;Alexis Rojas-Ruiz;Beatriz A. Jaime-Fonseca;Jesus Alberto Meda-Campaña","doi":"10.1109/TLA.2025.11194765","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194765","url":null,"abstract":"In the field of control, output regulation theory ensures the tracking of reference signals generated by a known dynamic exogenous system, referred to as the exosystem. However, there are applications where the exosystem may be unknown. In this context, the present paper proposes a controller based on Francis output regulation theory, where a high-gain observer (HGO) is used to estimate the states of the unmodeled reference signals. This observer is structurally integrated into the discrete form of Francis output regulation equations as the exosystem. The proposed approach assumes that discrete-time unmodeled reference signals are obtained by transforming a given trajectory from the workspace into joint space of a robotic manipulator. Consequently, the accuracy of motion in Cartesian space depends on the tracking error in each joint. As a case study, a two-degree-of-freedom robot is presented, and its dynamic model is used as the basis for constructing the controller. Finally, simulations are performed using a multibody model developed in Simulink-Simscape to demonstrate that the proposed controller satisfies the stability and asymptotic regulation criteria.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"989-1000"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236684","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 Evaluation of Hybrid Solar Photovoltaic/Biogas Systems Connected to the Grid: Case Study of a Rural Community in Argentina 并网太阳能光伏/沼气混合系统的性能评估：阿根廷农村社区的案例研究

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194768

Juan Pablo Cecchini;Luis Ignacio Silva;Esteban Luis Venghi;Carlos Ramiro Rodríguez;Ernesto Esteban Coutsiers

{"title":"Performance Evaluation of Hybrid Solar Photovoltaic/Biogas Systems Connected to the Grid: Case Study of a Rural Community in Argentina","authors":"Juan Pablo Cecchini;Luis Ignacio Silva;Esteban Luis Venghi;Carlos Ramiro Rodríguez;Ernesto Esteban Coutsiers","doi":"10.1109/TLA.2025.11194768","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194768","url":null,"abstract":"This study models and evaluates a hybrid energy system for the Pujato Norte community, integrating photovoltaic solar, a biogas generator, and grid connection. Using HOMER Pro software, the project assessed economic feasibility, operational aspects, and maintenance costs over a 25-year projection, targeting a minimum 50% renewable energy contribution. Results indicate an optimal configuration comprising a 501 kW photovoltaic plant and a 50 kW biomass generator, capable of meeting the average daily load of 4,109 kWh. While the estimated initial investment is USD 997,029 and the resulting energy cost of USD 0.1738/kWh exceeds current grid rates, the system delivers a significant environmental benefit: a 41% reduction in carbon dioxide emissions, equivalent to 297,554.86 kg CO annually. This substantial decrease underscores the hybrid system's potential to provide a more sustainable, long-term energy alternative by mitigating the environmental impact of local power generation.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1011-1021"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236699","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 Novel System for Automatic Detection of TV Commercial Breaks 一种新的电视广告插播时间自动检测系统

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI: 10.1109/TLA.2025.11194774

Nicolas Rondan;Marcos Juayek;Jose Joskowicz;Rafael Sotelo;Santiago Quincke;Andres Patrone;Maximiliano Aguerre;Gastón Gonzalez

引用次数: 0