IEEE Latin America Transactions最新文献_第4页

Dengue-Infected Mosquito Detection with Uncertainty Evaluation based on Monte Carlo Dropout

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-01-23 DOI: 10.1109/TLA.2025.10851361

Israel Torres;Mariko Nakano;Jorge Armando Cime-Castillo;Enrique Escamilla-Hernandez;Osvaldo Lopez-Garcia;Humberto Lanz Mendoza

{"title":"Dengue-Infected Mosquito Detection with Uncertainty Evaluation based on Monte Carlo Dropout","authors":"Israel Torres;Mariko Nakano;Jorge Armando Cime-Castillo;Enrique Escamilla-Hernandez;Osvaldo Lopez-Garcia;Humberto Lanz Mendoza","doi":"10.1109/TLA.2025.10851361","DOIUrl":"https://doi.org/10.1109/TLA.2025.10851361","url":null,"abstract":"Considering Aedes mosquitoes are a principal vector of the Dengue virus causing, in the worst case, the death of infected people, accurate detection of infected Aedes mosquitoes is very important to prevent the further spread of the virus. In this paper, we propose a detection algorithm for infected Aedes aegypti mosquitoes by Dengue Virus-2 using their wingbeat signals. The proposed algorithm uses Long Short-Term Memory (LSTM) as a classifier of the input wingbeat signal into healthy mosquitoes and infected mosquitoes. All living beings, even if they are of the same species, have different characteristics depending on the season in which they are born, temperature, humidity, food, etc. This individual difference perhaps influences the level of infection, although it is fed by the same infected blood. Considering these differences between individuals, we introduce an uncertainty measure based on Monte-Carlo dropout. The proposed algorithm detects approximately 5% of uncertainty data from all input wingbeat signals in the test set and provides a classification accuracy of 94.87% without any uncertainty.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 2","pages":"135-143"},"PeriodicalIF":1.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851361","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106784","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 corpus of bird sounds from Quindio and its application for passive acoustic monitoring through neural networks

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-01-23 DOI: 10.1109/TLA.2025.10851397

Fáber D. Giraldo-Velasquez;Helver Novoa Mendoza;Alexandra Rengifo Román;Emilio Granell

{"title":"A corpus of bird sounds from Quindio and its application for passive acoustic monitoring through neural networks","authors":"Fáber D. Giraldo-Velasquez;Helver Novoa Mendoza;Alexandra Rengifo Román;Emilio Granell","doi":"10.1109/TLA.2025.10851397","DOIUrl":"https://doi.org/10.1109/TLA.2025.10851397","url":null,"abstract":"The biodiversity of a region is an invaluable asset that requires continuous efforts for its preservation and study. Particularly, for the region of Quindio in Colombia it is highlighted its richness in native birdlife, which enriches its natural landscape, and significantly contributes to the country biological diversity. The observation and study of those species becomes an essential task for the conservation and knowledge of the region. In this context, this paper proposes a corpus of sounds with a ML processing support. Datasets that were used include audios of 170 bird species, which corresponds to approximately 30% of the bird species identified in Quindio. Audios of human voices, silences and noises also were included. For signal processing, the sliding window feature extraction technique is used to analyze and classify bird sounds. Additionally, three neural networks were trained to evaluate the corpus, the first being a convolutional network. From the results of this network , two additional networks were trained, one of which was another convolutional network, while the second was based on the transformers architecture. These networks were trained with the categories that showed performance with an F1-score metric equal to or greater than 0.30 in the first convolutional network. The results obtained show precision levels of 0.55, 0.53 and 0.65 respectively. Network based on Transformers demonstrated better performance in classifyingthe sounds of native birds of Quindio. A proof of concept was carried out on this network with audios of the species Saffron Finch (Sicalis flaveola), reaching an accuracy of 65.74%. These results offer a baseline for future research in the field of bird sound classification, thus promoting the conservation of regional avifauna.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 2","pages":"94-103"},"PeriodicalIF":1.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106861","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

Robust Control Using a H Mixed Sensitivity Approach for an UAV with a Suspended Payload

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-01-23 DOI: 10.1109/TLA.2025.10851398

Jefferson Abraham Enriquez Quispe;Tito Yvan Galarza Delgado;Juan Carlos Cutipa Luque

引用次数: 0

Design and Validation of an IoT System for an Experimental Laboratory Microgrid 实验室微电网物联网系统的设计与验证

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-20 DOI: 10.1109/TLA.2025.10810485

Juan M. Rey;Jonathan Gómez;Natalia Duarte;Iván Hernández;Maria A. Mantilla;Oscar Quiroga

{"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}

引用次数: 0

Personalized Digital Instructor Based on Arduino for Buerger Exercises in Older Adults with Diabetes: Feasibility Study 基于Arduino的老年糖尿病患者伯格运动个性化数字教练的可行性研究

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-20 DOI: 10.1109/TLA.2025.10810400

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

{"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}

引用次数: 0

Editorial 2025 编辑2025

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810398

Daniel Ulises Campos Delgado

引用次数: 0

Optimizing Solar Irradiance Prediction: Feature Selection for All-Sky Image Processing Using a Hybrid Prediction Method 优化太阳辐照度预测：基于混合预测方法的全天图像处理特征选择

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810404

Joylan Nunes Maciel;Gustavo de Souza Campoi;Willian Zalewski;Jorge Javier Gimenez Ledesma;Oswaldo Hideo Ando Junior

{"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}

引用次数: 0

Investigation and Optimization of StringDeduplication with Custom Heuristic in Different Versions of the JVM 在不同版本的JVM中使用自定义启发式方法研究和优化StringDeduplication

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810397

Darlan Noetzold;Anubis Graciela de Moraes Rossetto;Jorge Barbosa;Valderi Reis Quietinho Leithardt

引用次数: 0

STAR-IRS Assisted Rate Splitting Multiple Access with Perfect and Imperfect CSI for 6G Communication STAR-IRS辅助速率分割多址与完美和不完美CSI的6G通信

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 10.1109/TLA.2025.10810403

Aswini Krishnan;Sundaresan Sabapathy;Surendar Maruthu

{"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}

引用次数: 0

Through the Youth Eyes: Training Depression Detection Algorithms with Eye Tracking Data 通过青少年的眼睛：用眼动追踪数据训练抑郁症检测算法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-12-19 DOI: 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

{"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}

引用次数: 0