IEEE Latin America Transactions最新文献_第5页

A Novel Approach to Performance Evaluation of Current Controllers in Power Converters and Electric Drives Using Non-Parametric Analysis 基于非参数分析的电力变换器和电力驱动电流控制器性能评估新方法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810402

Gustavo Ignacio Rivas-Martínez;Jorge Rodas;Edher Herrera;Jesús Doval-Gandoy

{"title":"A Novel Approach to Performance Evaluation of Current Controllers in Power Converters and Electric Drives Using Non-Parametric Analysis","authors":"Gustavo Ignacio Rivas-Martínez;Jorge Rodas;Edher Herrera;Jesús Doval-Gandoy","doi":"10.1109/TLA.2025.10810402","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810402","url":null,"abstract":"In the field of current controllers for power converters and electric motor units, conventional figures of merit (FMs) such as mean squared error (MSE), integral of time multiplied by absolute error (ITAE), or total harmonic distortion (THD) have traditionally been used. The stochastic nature of these FMs introduces variability, which often results in inaccurate comparisons of the controllers' performance. To address this issue, a parametric statistical methodology has recently been proposed. However, it presents certain limitations, such as the assumption of normality. In response to this, the adoption of a non-parametric methodology is suggested in this work, which promises a precise evaluation of the efficiency of current controllers. In this study, we demonstrate that, under parametric approach, when the assumption of normality is violated, there is a significant increase in Type I error. Furthermore, we show that the non-parametric Mann-Whitney U test offers greater sensitivity compared to its parametric counterpart under these circumstances. Thus, the newly proposed methodology aims to optimize the decision-making process in designing high-performance current controllers for applications in power converters and electric motors. This allows for design decisions grounded in rigorous and statistically-based evaluations. The effectiveness of this methodology is confirmed through its application to a real dataset, enhancing its practicality and contributing to a deeper understanding of the subject matter.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"68-77"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810402","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859234","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

Asset Administration Shell Submodel for Representing the Procedural Part of ISA-88 Recipes 表示ISA-88 Recipes过程部分的资产管理Shell子模型

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810401

Johnny Alvarado;Marcela Vegetti;Silvio Gonnet

{"title":"Asset Administration Shell Submodel for Representing the Procedural Part of ISA-88 Recipes","authors":"Johnny Alvarado;Marcela Vegetti;Silvio Gonnet","doi":"10.1109/TLA.2025.10810401","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810401","url":null,"abstract":"It is undeniable the benefits that the implementation of digital twins provides to industries. However, the greatest advances in this regard have been made in the definition and implementation of digital twins in discrete manufacturing industries. The development of these twins is still in its early stages in process industries. An important issue in creating digital twins to support decision-making in the process industry is to be able to describe the production procedures. This paper aims to present an Asset Administration Shell submodel that allows the representation of procedural recipes in the batch process industry based on the ISA-88 standard. This paper proposes a conceptual model to represent the Sequential Function Chart language, which is one of the languages proposed by the mentioned standard to represent manufacturing procedure. In addition, the proposal includes a set of rules to map Sequential Function Chart concepts into concepts belonging to the Asset Administration Shell metamodel introduced by Platform Industrie 4.0. These mapping rules would allow the implementation of tools that automatically translate existing Sequential Function Chart models into Asset Administration Shell submodels to reuse existing knowledge for the implementation of digital twins in batch process industries.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"36-42"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810401","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859230","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

Table of Contents January 2025 目录2025年1月

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810395

引用次数: 0

Estimation of the electrical energy provided by an irrigation canal with the design of a hydrokinetic turbine 利用水力水轮机设计估算灌溉渠所提供的电能

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810396

Eder Peralta-Escobar;Sergio-Ricardo Galván-González;Gildardo Solorio-Díaz;Nicólas-David Herrera-Sandoval;Daniel Cahue-Díaz

{"title":"Estimation of the electrical energy provided by an irrigation canal with the design of a hydrokinetic turbine","authors":"Eder Peralta-Escobar;Sergio-Ricardo Galván-González;Gildardo Solorio-Díaz;Nicólas-David Herrera-Sandoval;Daniel Cahue-Díaz","doi":"10.1109/TLA.2025.10810396","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810396","url":null,"abstract":"Small-scale hydropower is considered one of the most economical, predictable, and environmentally friendly technologies. However, it is still under development, which has led to its limited application, especially to hydraulic resources with low head and fluid velocity like the irrigation canal of the \"Centenario de la Revolucion Francisco J. Mugica\" dam, located in a ruralzone of the state of Michoacan, Mexico. To estimate the actual energy that this hydraulic resource can give, we proposed an energy conversion methodology that consists of three main steps: the evaluation of the hydraulic energy using the annual Flow Duration Curve of the canal, the numerical design of the ducted hydrokinetic turbine using experimental measurements and the selection of a low-velocity electrical generator. The designed hydrokinetic turbine was able to convert 78.53% of the hydraulic energy available into useful energy, which agriculture could use directly in rural areas.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"58-67"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810396","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859233","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

Saliency-aware Spatio-temporal Modeling for Action Recognition on Unmanned Aerial Vehicles 基于显著性感知的无人机动作识别时空建模

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10789633

Xiaoxiao Sheng;Zhiqiang Shen;Gang Xiao

{"title":"Saliency-aware Spatio-temporal Modeling for Action Recognition on Unmanned Aerial Vehicles","authors":"Xiaoxiao Sheng;Zhiqiang Shen;Gang Xiao","doi":"10.1109/TLA.2024.10789633","DOIUrl":"https://doi.org/10.1109/TLA.2024.10789633","url":null,"abstract":"Action recognition on unmanned aerial vehicles (UAVs) must cope with complex backgrounds and focus on small targets. Existing methods usually use additional detectors to extract objects in each frame, and use the object sequence within boxes as the network input. However, for training, they rely on additional detection annotations, and for inference, the multi-stage paradigm increases the burden of deployment on UAV terminals. Therefore, we propose a saliency-aware spatio-temporal network (SaStNet) for UAV-based action recognition in an end-to-end manner. Specifically, the short-term and long-term motion information are captured progressively. For short-term modeling, a saliency-guided enhancement module is designed to learn attention scores for weighting the original features aggregated within neighboring frames. For long-term modeling, informative regions are first adaptively concentrated using a saliency-guided aggregation module. Then, a spatio-temporal decoupling attention mechanism is designed to focus on spatially salient regions and capture temporal relationships within all frames. Integrating these modules into classical backbones encourages the network to focus on moving targets, reducing interference from background noises. Extensive experiments and ablation studies are conducted on UAV-Human, Drone action, and something-something datasets. Compared to state-of-the-art methods, SaStNet achieves a 5.7% accuracy improvement on the UAV-Human dataset using 8-frame inputs.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 12","pages":"1026-1033"},"PeriodicalIF":1.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10789633","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810347","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

Implementation of Stable Pairing Algorithms for Optimizing Educational Games: A Computational and Pedagogical Perspective 优化教育游戏的稳定配对算法的实现：一个计算和教学的角度

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10790546

Luiz Carlos Pinheiro Junior;Everton Gomede;Leonardo de Souza Mendes

{"title":"Implementation of Stable Pairing Algorithms for Optimizing Educational Games: A Computational and Pedagogical Perspective","authors":"Luiz Carlos Pinheiro Junior;Everton Gomede;Leonardo de Souza Mendes","doi":"10.1109/TLA.2024.10790546","DOIUrl":"https://doi.org/10.1109/TLA.2024.10790546","url":null,"abstract":"The Gale-Shapley algorithm solves the problem of stable pair formation across various fields including economics, labor markets, biology, computer science, and physics. This study modifies the algorithm to use a single list of participants and calculates compatibility scores using Jaccard similarity coefficients from students' proficiency tests and academic performance. We compared the effectiveness of this modified algorithm by evaluating two groups of students engaged in digital educational games: an experimental group matched by the modified algorithm and a randomly matched control group. The results show that the modified algorithm forms pairs with superior compatibility, consistent performance, and balanced competition. These findings suggest integrating the Gale-Shapley algorithm into educational technologies can enhance learning environments. The results significantly impact educational practices indicating that systematic peer training can improve collaboration, competition, and student engagement.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 12","pages":"991-999"},"PeriodicalIF":1.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10790546","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810345","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

Convolutional and long short-time memory network configuration to predict the remaining useful life of rotating machinery 基于卷积和长短时记忆网络的旋转机械剩余使用寿命预测

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10790547

Hélcio Ferreira Sarabando;Eurípedes Guilherme de Oliveira Nóbrega

{"title":"Convolutional and long short-time memory network configuration to predict the remaining useful life of rotating machinery","authors":"Hélcio Ferreira Sarabando;Eurípedes Guilherme de Oliveira Nóbrega","doi":"10.1109/TLA.2024.10790547","DOIUrl":"https://doi.org/10.1109/TLA.2024.10790547","url":null,"abstract":"Recently, several machine learning approaches have been proposed to provide predictions of the remaining useful life of rotating machine. This study presents a strong framework that employs machine learning algorithms to predict the useful life of rotating machine bearings by evaluating their vibration signals. In this approach, the raw vibration signal undergoes feature extraction through auxiliary methods, trend analysis through statistical methods, and time-dependent feature extraction through a specialized hybrid neural network algorithm. The architecture is composed of three distinct phases: Feature analysis, where the raw vibration data are processed to extract important characteristics for the definition of the signal trend creating a time series and Modeling, where the training data is processed in a hybrid convolutional neural network, which returns a degradation model aiming at estimating the instant of total failure. The neural network is also utilized to analyze test data and identify the moment just prior to the occurrence of failure; and finally the Prediction, phase where the future failure trend of the test data is identified, using the failure threshold extracted from the training data. We used the architecture to predict the remaining useful life of rotating machines in various cases, and the results error ranged between 3 and 4%, which is considered a good result.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 12","pages":"1034-1041"},"PeriodicalIF":1.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10790547","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810354","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

Table of Contents December 2024 目录2024年12月

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10789629

引用次数: 0

Classification of wandering patterns in the elderly using machine learning and time series analysis 利用机器学习和时间序列分析对老年人漫游模式进行分类

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10789632

Daniel Ramos-Rivera;Arnoldo Díaz-Ramírez;Leonardo Trujillo;Juan Pablo García-Vázquez;Pedro Mejía-Álvarez

{"title":"Classification of wandering patterns in the elderly using machine learning and time series analysis","authors":"Daniel Ramos-Rivera;Arnoldo Díaz-Ramírez;Leonardo Trujillo;Juan Pablo García-Vázquez;Pedro Mejía-Álvarez","doi":"10.1109/TLA.2024.10789632","DOIUrl":"https://doi.org/10.1109/TLA.2024.10789632","url":null,"abstract":"Dementia has emerged as a significant health concern due to global aging trends. A degenerative brain disorder, dementia leads to cognitive decline, memory loss, impaired communication skills, reduced abilities, and shifts in personality and mood. Dementia lacks a definitive cure, but accurate diagnosis and treatment can improve the quality of life for those affected. Wandering behavior is common in patients, and a link between wandering patterns and the severity of the disease has been established. This work addresses the challenge of detecting dementia-related wandering behaviors. The proposed strategy utilizes data imputation methods and feature extraction with the Discrete Wavelet Transformation applied to a recently developed and comprehensive dataset. Machine learning algorithms are used to perform the final detection, and hyperparameter optimization is also evaluated.Experiments show that performance achieves an accuracy of approximately 98% using the Random Forest classifier. Results are competitive with the state-of-the-art in time series classification, with improved efficiency. The proposed methodology can be used for the development of applications for dementia related research and care.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 12","pages":"1009-1018"},"PeriodicalIF":1.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10789632","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810348","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

Assessment of Solar Irradiation Data Sources and Prediction Models for Rural Villages in the Colombian Amazon Region 哥伦比亚亚马逊地区农村太阳辐照数据源评价与预报模型

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-11 DOI: 10.1109/TLA.2024.10789635

Luis Eduardo Ordoñez Palacios;Víctor Andrés Bucheli Guerrero;Eduardo Francisco Caicedo Bravo

{"title":"Assessment of Solar Irradiation Data Sources and Prediction Models for Rural Villages in the Colombian Amazon Region","authors":"Luis Eduardo Ordoñez Palacios;Víctor Andrés Bucheli Guerrero;Eduardo Francisco Caicedo Bravo","doi":"10.1109/TLA.2024.10789635","DOIUrl":"https://doi.org/10.1109/TLA.2024.10789635","url":null,"abstract":"Despite global efforts to adopt renewable energy, many remote regions still lack reliable electrical services. Addressing this requires a thorough analysis of solar resource data to identify viable solutions for these underserved areas. We evaluate the error in solar radiation data from a satellite image-based Random Forest (satellite RF) model by using data from IDEAM meteorological stations and NASA sources. By rigorously comparing these datasets, we aim to assess the reliability of predictive sources of solar radiation in the Amazon region. The results help establish confidence in various data sources, essential for utilizing estimated solar energy data in renewable energy research. We compared the data using the Relative Root Mean Squared Error (Relative RMSE). On the one hand, the relative RMSE between NASA and IDEAM ranges from 6.86% to 20.93%. On the other hand, the error between satellite RF model and IDEAM fluctuates between 6.56% and 12.33%. Similarly, the error between satellite RF model and NASA ranges from 4.80% to 15.27%. The findings indicate that the error in NASA data is higher compared to the error in satellite RF model data when benchmarked against IDEAM. Despite the limited number of meteorological stations and a maximum error of 20.93% between the two predictive data sources compared to ground-based observed data, we consider it reliable to use estimated solar radiation data for developing effective renewable energy solutions in remote locations.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 12","pages":"1019-1025"},"PeriodicalIF":1.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10789635","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810353","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