Pub Date : 2024-12-20DOI: 10.1109/TLA.2025.10810485
Juan M. Rey;Jonathan Gómez;Natalia Duarte;Iván Hernández;Maria A. Mantilla;Oscar Quiroga
In the energy transition context, electrical microgrids facilitate the integration of renewable generation into the electrical grid, improving the electrical system's reliability and accelerating its decarbonization. However, to promote the technological advancement of these grids, it is necessary to develop tools to validate new technologies and solutions, such as using the Internet of Things (IoT) for their operation and control. This work presents the design, implementation, and validation of an IoT system for an experimental laboratory microgrid developed at Universidad Industrial de Santander. The main design phases of the IoT system are described, beginning with the definition of requirements and extending through the component selection. Validation tests are proposed to verify the functionalities of the IoT system. The results demonstrate that the IoT system successfully enables the transmission and reception of data from external users and servers. The reported experience and the proposed validation tests are relevant for researchers interested in implementing IoT-based stages in existing or future laboratory microgrids.
{"title":"Design and Validation of an IoT System for an Experimental Laboratory Microgrid","authors":"Juan M. Rey;Jonathan Gómez;Natalia Duarte;Iván Hernández;Maria A. Mantilla;Oscar Quiroga","doi":"10.1109/TLA.2025.10810485","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810485","url":null,"abstract":"In the energy transition context, electrical microgrids facilitate the integration of renewable generation into the electrical grid, improving the electrical system's reliability and accelerating its decarbonization. However, to promote the technological advancement of these grids, it is necessary to develop tools to validate new technologies and solutions, such as using the Internet of Things (IoT) for their operation and control. This work presents the design, implementation, and validation of an IoT system for an experimental laboratory microgrid developed at Universidad Industrial de Santander. The main design phases of the IoT system are described, beginning with the definition of requirements and extending through the component selection. Validation tests are proposed to verify the functionalities of the IoT system. The results demonstrate that the IoT system successfully enables the transmission and reception of data from external users and servers. The reported experience and the proposed validation tests are relevant for researchers interested in implementing IoT-based stages in existing or future laboratory microgrids.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"25-35"},"PeriodicalIF":1.3,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810485","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859232","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}
Diabetes in older adults can lead to complications such as peripheral artery disease, neuropathy, and foot ulcers. Accessing treatments can be challenging due to limited resources. Implementing low-cost preventive therapies like Buerger's exercises is essential. However, these exercises must be standardized. The purpose was to develop an Arduino-based electronic system as a gerontechnological tool for homologating Buergers exercises and facilitating their execution by older adults with diabetes mellitus. The Intervention Theory by Sidani guided the development of this study. A feasibility and pilot study with one group, pretest/posttest design, was conducted in twenty older adults with HbA1c 8% and their caregivers in Saltillo, Coahuila, Mexico, from November 2020 to June 2021. Feasibility was measured with an acceptability and satisfaction instrument; the ankle-arm index was measured with 8 Hertz Doppler and neuropathy symptoms with a modified Toronto Clinical Neuropathy Score. The mean age was 67.50 5.61 years old in older adults and 48.32 16.26 in caregivers. The digital instructor was accepted by 73.3% (11 older adults) without any issues; 47.4% (9 older adults) and 26.3% (6 caregivers) expressed high levels of satisfaction. Participants noted significant benefits such as improved peripheral circulation, reduced pain, numbness, and tingling. These promising results underscore the potential of the electronic system to make a noticeable improvement in the lives of older adults with diabetes mellitus and their caregivers. The device was meticulously designed to be user-friendly and accessible, making it ideal gerontechnological tool to manage health at home.
{"title":"Personalized Digital Instructor Based on Arduino for Buerger Exercises in Older Adults with Diabetes: Feasibility Study","authors":"Ernesto Ríos Willars;Brandon Emmanuel Delabra Salinas;María Magdalena Delabra Salinas;Daniel Sifuentes Leura;Nereyda Hernández Nava;Alejandro Martínez Ramírez;Rosa Eréndira Fosado Quiroz;Bertha Cecilia Salazar-González","doi":"10.1109/TLA.2025.10810400","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810400","url":null,"abstract":"Diabetes in older adults can lead to complications such as peripheral artery disease, neuropathy, and foot ulcers. Accessing treatments can be challenging due to limited resources. Implementing low-cost preventive therapies like Buerger's exercises is essential. However, these exercises must be standardized. The purpose was to develop an Arduino-based electronic system as a gerontechnological tool for homologating Buergers exercises and facilitating their execution by older adults with diabetes mellitus. The Intervention Theory by Sidani guided the development of this study. A feasibility and pilot study with one group, pretest/posttest design, was conducted in twenty older adults with HbA1c 8% and their caregivers in Saltillo, Coahuila, Mexico, from November 2020 to June 2021. Feasibility was measured with an acceptability and satisfaction instrument; the ankle-arm index was measured with 8 Hertz Doppler and neuropathy symptoms with a modified Toronto Clinical Neuropathy Score. The mean age was 67.50 5.61 years old in older adults and 48.32 16.26 in caregivers. The digital instructor was accepted by 73.3% (11 older adults) without any issues; 47.4% (9 older adults) and 26.3% (6 caregivers) expressed high levels of satisfaction. Participants noted significant benefits such as improved peripheral circulation, reduced pain, numbness, and tingling. These promising results underscore the potential of the electronic system to make a noticeable improvement in the lives of older adults with diabetes mellitus and their caregivers. The device was meticulously designed to be user-friendly and accessible, making it ideal gerontechnological tool to manage health at home.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"78-85"},"PeriodicalIF":1.3,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810400","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859236","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 : 2024-12-19DOI: 10.1109/TLA.2025.10810398
Daniel Ulises Campos Delgado
Editorial of inaugural edition of IEEE Latin America Transactions in 2025.
{"title":"Editorial 2025","authors":"Daniel Ulises Campos Delgado","doi":"10.1109/TLA.2025.10810398","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810398","url":null,"abstract":"Editorial of inaugural edition of IEEE Latin America Transactions in 2025.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"2-5"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810398","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859227","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 : 2024-12-19DOI: 10.1109/TLA.2025.10810404
Joylan Nunes Maciel;Gustavo de Souza Campoi;Willian Zalewski;Jorge Javier Gimenez Ledesma;Oswaldo Hideo Ando Junior
The forecasting of solar irradiance is crucial for photovoltaic solar energy generation, as production is subject to intermittency due to climatic conditions, such as cloud cover, wind and, temperature. Based on the Hybrid Prediction Method (HPM), this study investigated the influence of a set of all-sky image processing features on the HPMs Artificial Neural Network prediction accuracy. Using correlation-based attribute selection, three predictive models with different input feature sets were evaluated. The results show that, when considering all horizons together and paired, the Medium set of 6 features achieves prediction accuracy statistically similar to the Complete set with 9 features, reducing the computational time (14.4%) and model input dimensionality (33.3%). However, when comparing individual horizons, the Complete set outperforms the Medium set at 5- and 15-minute horizon, while maintain similar accuracy at the 1-minute horizon. The Reduced set, with three features, consistently underperformed. This study provides news insights into the optimization of solar irradiance forecasting using HPM, contributing to advances in photovoltaic energy forecasting.
{"title":"Optimizing Solar Irradiance Prediction: Feature Selection for All-Sky Image Processing Using a Hybrid Prediction Method","authors":"Joylan Nunes Maciel;Gustavo de Souza Campoi;Willian Zalewski;Jorge Javier Gimenez Ledesma;Oswaldo Hideo Ando Junior","doi":"10.1109/TLA.2025.10810404","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810404","url":null,"abstract":"The forecasting of solar irradiance is crucial for photovoltaic solar energy generation, as production is subject to intermittency due to climatic conditions, such as cloud cover, wind and, temperature. Based on the Hybrid Prediction Method (HPM), this study investigated the influence of a set of all-sky image processing features on the HPMs Artificial Neural Network prediction accuracy. Using correlation-based attribute selection, three predictive models with different input feature sets were evaluated. The results show that, when considering all horizons together and paired, the Medium set of 6 features achieves prediction accuracy statistically similar to the Complete set with 9 features, reducing the computational time (14.4%) and model input dimensionality (33.3%). However, when comparing individual horizons, the Complete set outperforms the Medium set at 5- and 15-minute horizon, while maintain similar accuracy at the 1-minute horizon. The Reduced set, with three features, consistently underperformed. This study provides news insights into the optimization of solar irradiance forecasting using HPM, contributing to advances in photovoltaic energy forecasting.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"50-57"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810404","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859228","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 : 2024-12-19DOI: 10.1109/TLA.2025.10810397
Darlan Noetzold;Anubis Graciela de Moraes Rossetto;Jorge Barbosa;Valderi Reis Quietinho Leithardt
Memory optimization in Java applications is essential for performance and scalability. This paper investigates the efficiency of the StringDeduplication parameter in JVM versions 11, 17, and 21, using a Web Crawler developed in Spring Boot. The results show that the efficiency of StringDeduplication decreased from 34.3% deduplication in version 11 to 3.4% in version 21, with an increase in deduplication time from 1,264 ms to 3,439 ms. To mitigate this problem, a custom solution in C was developed for JVM version 21, which increased deduplication to 31.1% and saved 110.2 MB of memory. The main scientific contribution of this work is the identification of the loss of efficiency of StringDeduplication in the latest JVM versions and the proposal of a custom solution that improves string deduplication, offering a viable alternative for developers and software engineers.
{"title":"Investigation and Optimization of StringDeduplication with Custom Heuristic in Different Versions of the JVM","authors":"Darlan Noetzold;Anubis Graciela de Moraes Rossetto;Jorge Barbosa;Valderi Reis Quietinho Leithardt","doi":"10.1109/TLA.2025.10810397","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810397","url":null,"abstract":"Memory optimization in Java applications is essential for performance and scalability. This paper investigates the efficiency of the StringDeduplication parameter in JVM versions 11, 17, and 21, using a Web Crawler developed in Spring Boot. The results show that the efficiency of StringDeduplication decreased from 34.3% deduplication in version 11 to 3.4% in version 21, with an increase in deduplication time from 1,264 ms to 3,439 ms. To mitigate this problem, a custom solution in C was developed for JVM version 21, which increased deduplication to 31.1% and saved 110.2 MB of memory. The main scientific contribution of this work is the identification of the loss of efficiency of StringDeduplication in the latest JVM versions and the proposal of a custom solution that improves string deduplication, offering a viable alternative for developers and software engineers.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"43-49"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859229","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}
Incorporating cutting-edge technology like rate splitting multiple access (RSMA) and intelligent reflecting surface (IRS) are essential in 6G communications to satisfy the constantly growing needs for more connection, better reliability, and faster data rates. This paper explores the concept of simultaneously transmitting and reflecting IRS (STAR-IRS) assisted RSMA in the presence of both perfect and imperfect channel state information (CSI). STAR-IRS leverages its dual capability to transmit and reflect signals simultaneously, enhancing spectral efficiency and expanding coverage. So far, in literature, STAR-IRS assisted RSMA system is analyzed in terms of outage probability with perfect CSI scenario. So, in this work, we carry out the performance analysis of STAR-IRS in terms of outage probability and sum rate. Firstly, we derive the analytical expression of the outage probability and sum rate. Secondly, we propose a automatic optimization (AO) algorithm for weighted sum rate (WSR) maximization. The performance analysis is carried out by varying power allocation factor to find its optimality. The derived outage probability and sum rate expressions are validated with Monte Carlo simulations. Also, it is found that on using WSR maximization, the sum rate is enhanced for STAR-IRS based RSMA system when compared with the conventional sum rate maximization.
{"title":"STAR-IRS Assisted Rate Splitting Multiple Access with Perfect and Imperfect CSI for 6G Communication","authors":"Aswini Krishnan;Sundaresan Sabapathy;Surendar Maruthu","doi":"10.1109/TLA.2025.10810403","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810403","url":null,"abstract":"Incorporating cutting-edge technology like rate splitting multiple access (RSMA) and intelligent reflecting surface (IRS) are essential in 6G communications to satisfy the constantly growing needs for more connection, better reliability, and faster data rates. This paper explores the concept of simultaneously transmitting and reflecting IRS (STAR-IRS) assisted RSMA in the presence of both perfect and imperfect channel state information (CSI). STAR-IRS leverages its dual capability to transmit and reflect signals simultaneously, enhancing spectral efficiency and expanding coverage. So far, in literature, STAR-IRS assisted RSMA system is analyzed in terms of outage probability with perfect CSI scenario. So, in this work, we carry out the performance analysis of STAR-IRS in terms of outage probability and sum rate. Firstly, we derive the analytical expression of the outage probability and sum rate. Secondly, we propose a automatic optimization (AO) algorithm for weighted sum rate (WSR) maximization. The performance analysis is carried out by varying power allocation factor to find its optimality. The derived outage probability and sum rate expressions are validated with Monte Carlo simulations. Also, it is found that on using WSR maximization, the sum rate is enhanced for STAR-IRS based RSMA system when compared with the conventional sum rate maximization.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"17-24"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810403","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859225","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 : 2024-12-19DOI: 10.1109/TLA.2025.10810399
Derick Axel Lagunes-Ramírez;Gabriel González-Serna;Leonor Rivera-Rivera;Nimrod González-Franco;María Y. Hernández-Pérez;José A. Reyes-Ortiz
Depression is a prevalent mental health disorder, and early detection is crucial for effective intervention. Recent advancements in eye-tracking technology and machine learning offer new opportunities for non-invasive diagnosis. This study aims to assess the performance of different machine learning algorithms in. predicting depression in a young sample using eye-tracking metrics. Eye-tracking data from 139 participants were recorded with an emotional induction paradigm in which each participant observed a set of positive and negative emotional stimuli. The data were analyzed to find differences between groups, where the most significant features were selected to train prediction models. The dataset was then split into training and testing sets using stratified sampling. Four algorithms support vector machines (SVM), random forest (RF), a multi-layer perceptron (MLP) neural network, and gradient boosting (GB) were trained with hyperparameter optimization and 5-fold cross-validation. The RF algorithm achieved the highest accuracy at 84%, followed by SVM, GB, and the MLP neural network. Performance metrics such as accuracy, recall, F1-score, precision recall area under the curve (PR-AUC), and Matthews Correlation Coefficient (MCC) were also used to evaluate the models. The findings suggest that eye-tracking metrics combined with machine learning algorithms can effectively identify depressive symptoms in the young, indicating their potential as non-invasive diagnostic tools in clinical settings.
{"title":"Through the Youth Eyes: Training Depression Detection Algorithms with Eye Tracking Data","authors":"Derick Axel Lagunes-Ramírez;Gabriel González-Serna;Leonor Rivera-Rivera;Nimrod González-Franco;María Y. Hernández-Pérez;José A. Reyes-Ortiz","doi":"10.1109/TLA.2025.10810399","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810399","url":null,"abstract":"Depression is a prevalent mental health disorder, and early detection is crucial for effective intervention. Recent advancements in eye-tracking technology and machine learning offer new opportunities for non-invasive diagnosis. This study aims to assess the performance of different machine learning algorithms in. predicting depression in a young sample using eye-tracking metrics. Eye-tracking data from 139 participants were recorded with an emotional induction paradigm in which each participant observed a set of positive and negative emotional stimuli. The data were analyzed to find differences between groups, where the most significant features were selected to train prediction models. The dataset was then split into training and testing sets using stratified sampling. Four algorithms support vector machines (SVM), random forest (RF), a multi-layer perceptron (MLP) neural network, and gradient boosting (GB) were trained with hyperparameter optimization and 5-fold cross-validation. The RF algorithm achieved the highest accuracy at 84%, followed by SVM, GB, and the MLP neural network. Performance metrics such as accuracy, recall, F1-score, precision recall area under the curve (PR-AUC), and Matthews Correlation Coefficient (MCC) were also used to evaluate the models. The findings suggest that eye-tracking metrics combined with machine learning algorithms can effectively identify depressive symptoms in the young, indicating their potential as non-invasive diagnostic tools in clinical settings.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"6-16"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810399","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859226","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}
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.
在用于电源转换器和电动马达装置的电流控制器领域，传统上使用的是均方误差 (MSE)、时间乘以绝对误差积分 (ITAE) 或总谐波失真 (THD) 等传统的性能指标 (FM)。这些调频的随机性带来了可变性，往往导致控制器性能的比较不准确。为解决这一问题，最近提出了一种参数统计方法。不过，这种方法也存在一定的局限性，例如假设正态性。为此，本研究建议采用非参数方法，以精确评估当前控制器的效率。在这项研究中，我们证明了在参数方法下，当违反正态性假设时，I 类错误会显著增加。此外，我们还证明，在这种情况下，非参数的曼-惠特尼 U 检验比参数检验具有更高的灵敏度。因此，新提出的方法旨在优化设计高性能电流控制器的决策过程，以应用于功率转换器和电机。这样就能在严格的统计评估基础上做出设计决策。通过将该方法应用于真实数据集，证实了其有效性，从而增强了其实用性，并有助于加深对该主题的理解。
{"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}
Pub Date : 2024-12-19DOI: 10.1109/TLA.2025.10810401
Johnny Alvarado;Marcela Vegetti;Silvio Gonnet
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.
{"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}
Pub Date : 2024-12-19DOI: 10.1109/TLA.2025.10810395
{"title":"Table of Contents January 2025","authors":"","doi":"10.1109/TLA.2025.10810395","DOIUrl":"https://doi.org/10.1109/TLA.2025.10810395","url":null,"abstract":"","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 1","pages":"1-1"},"PeriodicalIF":1.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859231","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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