IEEE Latin America Transactions最新文献_第7页

Table of Contents October 2024 目录 2024 年 10 月

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10705968

引用次数: 0

Addressing Class Imbalance in Healthcare Data: Machine Learning Solutions for Age-Related Macular Degeneration and Preeclampsia 解决医疗保健数据中的类别失衡问题：针对年龄相关性黄斑变性和先兆子痫的机器学习解决方案

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10705995

Antonieta Martinez-Velasco;Lourdes Martínez -Villaseñor;Luis Miralles-Pechuán

{"title":"Addressing Class Imbalance in Healthcare Data: Machine Learning Solutions for Age-Related Macular Degeneration and Preeclampsia","authors":"Antonieta Martinez-Velasco;Lourdes Martínez -Villaseñor;Luis Miralles-Pechuán","doi":"10.1109/TLA.2024.10705995","DOIUrl":"https://doi.org/10.1109/TLA.2024.10705995","url":null,"abstract":"The use of machine learning in healthcare has transformed the way diseases are diagnosed and treatments are optimized. However, medical databases often lack balanced data due to challenges in data collection caused by privacy regulations. Certain health conditions are under represented, which hampers machine learning performance. To address this problem, a hybrid approach has been proposed that combines the Synthetic Minority Oversampling Technique (SMOTE) with under sampling and uses two specific techniques tailored for imbalanced datasets. Comparative evaluations were conducted using various thresholds to reduce one class and employingBalanced Accuracy to mitigate bias toward the majority class, with popular machine learning methods. The results showed that Balanced Bagging and Balanced Random Forest consistently outperformed other methods, performing the best with an average ranking of 1.42 and 3.58 out of 32 configurations in the two datasets, respectively. Tree-based approaches such as Random Forest and Gradient Boosting demonstrated similar effectiveness, emphasizing the power of aggregating predictions from multiple trees to reduce bias. Notably, under sampling andSMOTE proved advantageous for non-tree-based models likeKNN, SVM, and Logistic Regression showcasing their usefulness across different algorithms. This study provides a robust solution for handling imbalanced datasets in healthcare, which could potentially optimize healthcare interventions and improve patient outcomes and care.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 10","pages":"806-820"},"PeriodicalIF":1.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705995","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376985","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

Deep Learning Based Hybrid Beamforming for mmWave Dual-Functional Radar-Communication 基于深度学习的毫米波双功能雷达-通信混合波束成形

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10705967

Xiaoyou Yu;Tianchu Li;Ziyun Tian;Miao Yu

引用次数: 0

IoT-based Environmental Monitoring and Prediction of Banana Moisture Content in a Solar Greenhouse Dryer 基于物联网的环境监测以及太阳能温室干燥机中香蕉水分含量的预测

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10705969

Baltazar López-Velasco;Agustin Ruiz-Garcia;José Guillermo Cebada-Reyes;Carlos Alberto Villaseñor-Perea

{"title":"IoT-based Environmental Monitoring and Prediction of Banana Moisture Content in a Solar Greenhouse Dryer","authors":"Baltazar López-Velasco;Agustin Ruiz-Garcia;José Guillermo Cebada-Reyes;Carlos Alberto Villaseñor-Perea","doi":"10.1109/TLA.2024.10705969","DOIUrl":"https://doi.org/10.1109/TLA.2024.10705969","url":null,"abstract":"Modernizing the drying process will reduce agricultural product waste and environmental pollution. The aim of this study was to design a monitoring system based on the internet of things (IoT), temperature and relative humidity for a solar dryer. This system consists of a data collection module that gathers data regarding temperature (Ta), external relative humidity (RH) and on/off time of the solar dryer exhaust fans; a communication module that transmits Ta and RH information via LoRa and Wifi to ThingSpeak for monitoring on a mobile device; and a power module providing electrical power for system operation by solar energy. The operation of the IoT monitoring system was evaluated in three drying experiments of Dominican bananas (Musa paradisiaca var sapientum), in which system performance was satisfactory, allowing the user to visualize graphically in a web and mobile interface the behavior of Ta and RH inside the dryer. The data measured by the system were used to predict banana moisture content with an autoregressive model with exogenous variables (ARX) identified online. The mathematical model found predicted the behavior of moisture content with a good goodness of fit, with values of R2 = 0.99, MSE = 1.2910-5 and MAE = -5.0310-6. The solar dryer allowed reducing the moisture content of bananas up to 19.84 % wet basis (w.b.) in a period of 4 days and by 20.03% w.b. for 5 days in the presence of rainfall.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 10","pages":"881-890"},"PeriodicalIF":1.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705969","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376618","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

Learnable Query Contrast and Spatio-temporal Prediction on Point Cloud Video Pre-training 点云视频预培训的可学习查询对比度和时空预测

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10705970

Xiaoxiao Sheng;Zhiqiang Shen;Longguang Wang;Gang Xiao

{"title":"Learnable Query Contrast and Spatio-temporal Prediction on Point Cloud Video Pre-training","authors":"Xiaoxiao Sheng;Zhiqiang Shen;Longguang Wang;Gang Xiao","doi":"10.1109/TLA.2024.10705970","DOIUrl":"https://doi.org/10.1109/TLA.2024.10705970","url":null,"abstract":"Point cloud videos capture the time-varying environment and are widely used for dynamic scene understanding. Existing methods develop effective networks for point cloud videos but do not fully utilize the prior information uncovered during pre-training. Furthermore, relying on a single supervised task with a large amount of manually labeled data may be insufficient to capture the foundational structures in point cloud videos. In this paper, we propose a pre-training framework Query-CP to learn the representations of point cloud videos through multiple self-supervised pretext tasks. First, tokenlevel contrast is developed to predict future features under the guidance of historical information. Using a position-guided autoregressor with learnable queries, the predictions are directly contrasted with corresponding targets in the high-level feature space to capture fine-grained semantics. Second, performing only contrastive learning fails to fully explore the complementary structures and dynamics information. To alleviate this, a decoupled spatio-temporal prediction task is designed, where we use a spatial branch to predict low-level features and a temporal branch to predict timestamps of the target sequence explicitly. By combining the above self-supervised tasks, multi-level information is captured during the pre-training stage. Finally, the encoder is fine-tuned and evaluated for action recognition and dynamic semantic segmentation on three datasets. The results demonstrate the effectiveness of our Query-CP. Especially, compared with the state-of-the-art methods, the fine-tuning accuracy on action recognition improves by 3.23% for 24-frame point cloud videos, and the mean accuracy increases by 4.21%.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 10","pages":"821-828"},"PeriodicalIF":1.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705970","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376682","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 Study of Tire Models Applied to Electronic Stability Control in Automotive Simulator 汽车模拟器中电子稳定性控制应用的轮胎模型比较研究

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-10-04 DOI: 10.1109/TLA.2024.10706024

Walter Paschoal;Igor Souza;Lucas Torres;Andre Murilo Pinto;Renan Ozelo

引用次数: 0

Comparison of sequential test strategies based on Monte Carlo simulations in the detection of auditory steady-state responses 基于蒙特卡罗模拟的顺序测试策略在听觉稳态反应检测中的比较

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-09-10 DOI: 10.1109/TLA.2024.10669254

Victor Hugo de Souza Ragazzi;Alexandre Gomes Caldeira;Patrícia Nogueira Vaz;Felipe Antunes;Leonardo Bonato Felix

{"title":"Comparison of sequential test strategies based on Monte Carlo simulations in the detection of auditory steady-state responses","authors":"Victor Hugo de Souza Ragazzi;Alexandre Gomes Caldeira;Patrícia Nogueira Vaz;Felipe Antunes;Leonardo Bonato Felix","doi":"10.1109/TLA.2024.10669254","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669254","url":null,"abstract":"It is common to use sequential testing strategies to help reduce the time of automated detection of an auditory steady-state response (ASSR). However, the application of repeated tests leads to an increase of false positive rate. Monte Carlo-based strategies are used to overcome this obstacle. Despite several paper could be found describing such strategies, no comprehensive comparison was found in the literature. The chosen strategies are based on Monte Carlo simulations to calculate critical values and were faithfully replicated for comparison purposes, and then the test application parameters were varied to suggest an optimization. The detection rate and/or the detection speed improved with each implemented strategy, except for the one related to the year 2013, which increased the false positive rate to 15.3%. The other strategies kept the false positive rate under control. The Pareto curves compared the optimizations of the strategies and revealed that the modified 2015 strategy had the performance achieving 5.6% higher than the original parameters. The automated detection of ASSR improved with each implemented strategy, but not all of them kept a controlled false positive rate (2013 and 2015). The 2015 modified strategy had the highest detection rate in the shortest time.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 9","pages":"733-738"},"PeriodicalIF":1.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165019","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 prediction model for heat exchanger fouling factor based on stacking model 基于堆叠模型的换热器污垢系数预测模型

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-09-10 DOI: 10.1109/TLA.2024.10670205

Zhiping Chen;Yongle Meng;Haoshan Yu;Ruiqi Wang;Wenwu Zhou

{"title":"A prediction model for heat exchanger fouling factor based on stacking model","authors":"Zhiping Chen;Yongle Meng;Haoshan Yu;Ruiqi Wang;Wenwu Zhou","doi":"10.1109/TLA.2024.10670205","DOIUrl":"https://doi.org/10.1109/TLA.2024.10670205","url":null,"abstract":"Given the pressing demand for energy conservation, the petrochemical sector faces increasingly stringent energy-saving mandates. Heat exchangers, essential to this sector, suffer efficiency losses and increased energy consumption due to fouling. To ensure optimal operation of heat exchange systems, regular assessment of solid deposits and the implementation of cleaning schedules are imperative. However, the multitude of influencing factors renders traditional estimation methods unreliable. Consequently, we developed a stacking model to predict the fouling factor of heat exchangers. Specifically, we first constructed fouling factor prediction models using various machine learning techniques, then selected the best-performing models random forest, extreme gradient boosting , and light gradient boosting machine for integration. Finally, the predictions from these three models were fed into a linear regression layer to form the final stacking model. The results indicate that the constructed stacking model significantly enhances the accuracy of fouling factor prediction. This model not only surpasses traditional multilayer perceptron neural network methods but also outperforms the well-performing gaussian process regression. This achievement not only validates the effectiveness of our model but also provides robust support for future research and applications in related fields.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 9","pages":"746-754"},"PeriodicalIF":1.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10670205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165018","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 permanent magnet DC motor with sepic converter through higher order sliding surface 通过高阶滑动面提高带 SEPI 转换器的永磁直流电机的性能

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-09-09 DOI: 10.1109/TLA.2024.10670234

Dhanasekar Ravikumar;Ganesh Kumar Srinivasan;Marco Rivera

引用次数: 0

Methodology Using Idle Capacity of Hydroelectric Substations for Sizing Floating Photovoltaic Plants 利用水电站闲置容量确定浮动光伏发电站规模的方法学

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-09-06 DOI: 10.1109/TLA.2024.10669249

Breno Bezerra Freitas;Bruno Rodrigues Alves Bezerra;Carlos Alberto Teixeira Júnior;Celso Florindo de Oliveira Júnior;Dionízio Porfírio de Assis;Edvaldo de Sousa Queiroz Filho;Felipe Teles do Nascimento;Fernando Weslley Silva de Oliveira;Gabryel Ferreira Alves;João Victor Teixeira Alves;Marcos Felipe de Andrade Silva;Milton Cezar da Silva;Monilson de Sales Costa;Otacilio José de Macêdo Nunes;Paulo Cesar Marques de Carvalho;Rebeca Catunda Pereira

{"title":"Methodology Using Idle Capacity of Hydroelectric Substations for Sizing Floating Photovoltaic Plants","authors":"Breno Bezerra Freitas;Bruno Rodrigues Alves Bezerra;Carlos Alberto Teixeira Júnior;Celso Florindo de Oliveira Júnior;Dionízio Porfírio de Assis;Edvaldo de Sousa Queiroz Filho;Felipe Teles do Nascimento;Fernando Weslley Silva de Oliveira;Gabryel Ferreira Alves;João Victor Teixeira Alves;Marcos Felipe de Andrade Silva;Milton Cezar da Silva;Monilson de Sales Costa;Otacilio José de Macêdo Nunes;Paulo Cesar Marques de Carvalho;Rebeca Catunda Pereira","doi":"10.1109/TLA.2024.10669249","DOIUrl":"https://doi.org/10.1109/TLA.2024.10669249","url":null,"abstract":"Photovoltaic (PV) generation has emerged as an alternative for reducing environmental impacts. Recently, floating photovoltaic (FPV) configurations have gained popularity, utilizing the water surface of reservoirs as installation sites. Recognizing its potential, this paper proposes a methodology to harness the idle capacity of substation facilities in hydroelectric power plants (HPP) for sizing FPV plants, aiming for the maximal utilization of the substation's capacity and promoting complementarity with HPP generation. The study introduces a sizing proposal for FPV based on complementarity with the worst day of HPP generation within a defined period, aiming to utilize 100% of the substation's capacity. As a case study, the FPV potential is identified as 59.81 GWp for Belo Monte and 55.35 GWp for Itaipu. This approach seeks to enhance the overall efficiency and sustainability of power generation systems by integrating FPV with existing hydroelectric infrastructure.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 9","pages":"771-777"},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143721","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