IEEE Latin America Transactions最新文献_第8页

G-CoV.2: A computational system for geolocation of patients diagnosed with COVID-19 G-CoV.2：用于对确诊为 COVID-19 的患者进行地理定位的计算系统

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534305

Ademir Luiz do Prado;Waldemar Volanski;Liana Signorini;Mauren Isfer Anghebem;Glaucio Valdameri;Vivian Rotuno Moure;Fabiane Gomes de Moraes Rego;Geraldo Picheth

{"title":"G-CoV.2: A computational system for geolocation of patients diagnosed with COVID-19","authors":"Ademir Luiz do Prado;Waldemar Volanski;Liana Signorini;Mauren Isfer Anghebem;Glaucio Valdameri;Vivian Rotuno Moure;Fabiane Gomes de Moraes Rego;Geraldo Picheth","doi":"10.1109/TLA.2024.10534305","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534305","url":null,"abstract":"Coronavirus disease 2019 (COVID-19) is a respiratory infection caused by the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2). In the current scenario of COVID-19, more than 6 million people have died worldwide, and near seven hundred thousand only in Brazil alone. The objective this work is designer a database using MySQL to develop a system for geolocating COVID-19 affected individuals and their close contacts. Patient addresses registered in the laboratory database were used to search for coordinate (latitude and longitude) using the OpenStreetMap Application Programming Interface. The user interface was developed in PHP using HTML, JavaScript, CSS, and AJAX. A dashboard displaying the geolocation information of selected patients was presented on the screen for public health agents. A system called G-CoV.2 was developed. The makers produced by G-CoV.2 had 100% accuracy when manually compared with the same patient address records. G-CoV.2 can be used as a computational system to aid health managers in identifying regions with the most people infected by COVID-19 or other pathological processes. The submitted work can meet the third goal of sustainable development of the United Nations for Latin America, ensuring a healthy life and thus promoting well-being for all people, at all ages. One of the ways is through the monitoring of COVID-19 and other pathologies as a preventive measure, applying the system developed G-CoV.2 that was the subject of the writing of the article, which may reduce the mortality rate at all ages, with the premise of ending epidemics of serious and communicable diseases, directing health managers to increase investment in health in critical areas, as well as creating actions in favor of prevention and promotion of the population's health.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073595","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

An Automated Data-Gathering Tool for Earth Observation CubeSats Classification 用于地球观测立方体卫星分类的自动数据收集工具

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534307

Alejandro Lopez-Telgie;Mario Quappe-Gutierrez;Walter Abrahão Dos Santos

{"title":"An Automated Data-Gathering Tool for Earth Observation CubeSats Classification","authors":"Alejandro Lopez-Telgie;Mario Quappe-Gutierrez;Walter Abrahão Dos Santos","doi":"10.1109/TLA.2024.10534307","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534307","url":null,"abstract":"This study presents an automated tool designed for the classification and analysis of Earth Observation CubeSats, with focus in the low Earth orbit (LEO) region (200-1,000 km altitude). Leveraging an integration of data from different reputable databases, the tool provides a detailed data repository which facilitates analysis of CubeSat deployment trends, configurations, and operational orbits, aiding in mission design. A key finding from our analysis is the pronounced concentration of CubeSats in certain LEO regions: Sun-Synchronus and ISS, with the United States as a leading contributor in CubeSat deployments. Moreover, the tool offers a comprehensive estimation of lifecycle costs associated with CubeSat missions, highlighting a trend of decreasing costs among major CubeSat developers such as Planet and Spire. This cost reduction trend is attributed to economies of scale, implementation of ground segment infrastructure, and vertical integration in the development of the satellites. By providing a detailed dataset, and classification of CubeSats, along with an analysis of cost trends, this research contributes valuable insights for the planning and cost optimization of future space missions. The findings underscore the growing commercial viability and strategic importance of CubeSats in the evolving landscape of Earth observation and new space.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534307","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073636","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

Automation of Methodology for Analysis of Overcurrent Protection Functions in Electrical Power Systems 电力系统过流保护功能分析方法自动化

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534308

Juan Sebastian Arboleda Arroyave;Jorge Wilson González Sanchez;Idi Amin Isaac Millan

{"title":"Automation of Methodology for Analysis of Overcurrent Protection Functions in Electrical Power Systems","authors":"Juan Sebastian Arboleda Arroyave;Jorge Wilson González Sanchez;Idi Amin Isaac Millan","doi":"10.1109/TLA.2024.10534308","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534308","url":null,"abstract":"This paper addresses a proposal for the optimization and automation of the methodology of selectivity analysis in protection relays by fault sweeps, to improve selectivity and evaluate the operation times and coordination margins in a complex network composed by a large amount of overcurrent units. Through the operating times of the protection devices, it can be quickly identified the lack of coordination that may occur in the relays of the network for several topological conditions. The coordination times are obtained by a set of injected failures in the assets delimited by the scope of the selectivity study, and through an automatic systemic analysis it is sought to generate a diagnosis of the most critical points in which there is no correct selectivity within protection functions. The automation strategy of this work is designed and evaluated in DIgSILENT PowerFactory and Python computational tools. Through the scripting and automation module, a Python script is executed in the PowerFactory environment, and in this way the protection relays and the measurement transformers are modeled by assigning their respective settings and directionality. Finally, an analysis is carried out with criteria of the good setting of protection devices created by experts in the field, and a calculation file is generated with the optimized operating times of the protection devices and an analysis of selectivity between the overcurrent functions of the system.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534308","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073632","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

Random forest for generating recommendations for predicting copper recovery by flotation 利用随机森林生成预测浮选铜回收率的建议

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534301

Victor Flores;Nicolas Henríquez;Edgardo Ortiz;Rafael Martinez;Claudio Leiva

{"title":"Random forest for generating recommendations for predicting copper recovery by flotation","authors":"Victor Flores;Nicolas Henríquez;Edgardo Ortiz;Rafael Martinez;Claudio Leiva","doi":"10.1109/TLA.2024.10534301","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534301","url":null,"abstract":"In the copper mining industry, Data Science (DS) techniques and Machine Learning (ML) methods are contributing to improve the prediction of results in industrial processes. In this paper, an experience of applying both DS techniques and a ML algorithm, using historical data from the flotation process is described. These data were collected using a prototype of flotation equipment developed at the Universidad Catolica del Norte, in Antofagasta, Chile. To achieve the result an Extraction, Transformation and Load (ETL) process was made. Also, for both, improving the understanding of domain dynamics and selecting the most relevant predictive variables in the flotation process, a Random Forest (FR) model was developed. The combination of these previous results made it possible to generate recommendations on the management of predictor variables to improve copper recovery in the context of the flotation equipment prototype. In this document, the methodological details are presented, and the process used to obtain the aforementioned results is described. As progress was made through 2 iterations, the quality of the results obtained with the predictive model, generated by RF, was improving. At the end of the process, an accuracy of 94,44% was achieved, with an accuracy in each of the classes greater than 90%. These results demonstrate the effectiveness and outstanding performance of the predictive model. These values are highly competitive when compared to those obtained in other similar studies in the context of Industry 4.0.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534301","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073598","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

Detection of recyclable solid waste using convolutional neural networks and PyTorch 利用卷积神经网络和 PyTorch 检测可回收固体废物

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534304

Jhandry R. Lapo;Oscar M. Cumbicus-Pineda

{"title":"Detection of recyclable solid waste using convolutional neural networks and PyTorch","authors":"Jhandry R. Lapo;Oscar M. Cumbicus-Pineda","doi":"10.1109/TLA.2024.10534304","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534304","url":null,"abstract":"Waste management in the recycling business is a time-consuming and labor-intensive process. In this context, the need to improve accuracy and reduce the time associated with this process is highlighted. In order to improve the classification of recyclable solid waste and streamline the waste management process, the creation of a convolutional neural network (CNN) model using PyTorch was proposed. The MLOps methodology was implemented in the development of the proposed model. In the first phase, an interview was conducted to analyze the waste sorting process in the company GIRA. In the second phase, the Taco Trash Dataset was reclassified, a CNN architecture based on RetinaNet was designed and the model was trained with hyper parameters based on related works. The third phase, the model was evaluated by testing and A/B testing. The model demonstrated high accuracy in waste detection and classification. It successfully identified materials such as paper, cardboard, PET bottles, hard plastic containers, flexible plastics, cans, glass, Tetra Pak containers, Flex foam and PET bottle caps. The loss was minimal, reaching 0.02120%, equivalent to 97% accuracy, and 80% accuracy in a real environment based on the Technology Acceptance Model (TAM). It is concluded that the implementation of a sorting and waste detection model optimizes the time and improves the accuracy of the sorting process.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073563","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

COVID-19 Vaccines distribution routes with bioinspired metaheuristic algorithms: Resoluteness COVID-19 采用生物启发元启发式算法的疫苗配送路线：稳定性

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534309

Leonardo Daniel Estrada Moreno;Rosa María Valdovinos Rosas;Lourdes Loza Hernandez;Roberto Alejo

引用次数: 0

Optimization of Public Transport Networks by Considering Alternative Positions for Network Stations 通过考虑网站的替代位置优化公共交通网络

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI: 10.1109/TLA.2024.10534306

Ingo Pastl;Danilo Araújo

{"title":"Optimization of Public Transport Networks by Considering Alternative Positions for Network Stations","authors":"Ingo Pastl;Danilo Araújo","doi":"10.1109/TLA.2024.10534306","DOIUrl":"https://doi.org/10.1109/TLA.2024.10534306","url":null,"abstract":"Netheradays planning of metropolitan areas considers to improve quality of life of their inhabitants and urbanmobility is one of the main concerns. Studies point out that investments in public transportation and other modes are aimedat the overall improvement of mobility. However, there is a gap in proper tools for optimizing public transport networks.In fact, network optimization is an NP-Hard problem and there are usually many conflicting objectives that need to beoptimized simultaneously. This paper proposes the use of manyobjective evolutionary algorithms to address the problem ofpublic transport networks optimization, focusing on metropolitan bus lines. The proposal consists in optimizing the position of bus stops and consequently obtaining new routes that pass through these stops in order to minimize the average travel time, the time spent between origin / destination and the variance of distance between the stops. To evaluate our proposal, a simulator was used to simulate the behavior of different passenger profiles in an urban area and the results were compared between the lines obtained by the optimization process and existing bus lines in the city of Sao Paulo. According to our results, optimized bus routes have mean travel time 22% less than the existing route and the time spent between origin/destination has decreased up to 18%.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534306","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141073596","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

Lightweight Real-Time Object Detection via Enhanced Global Perception and Intra-Layer Interaction for Complex Traffic Scenarios 通过增强的全局感知和层内交互进行轻量级实时物体检测，以应对复杂的交通场景

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-18 DOI: 10.1109/TLA.2024.10472963

ben liang;Jia Su;Kangkang Feng;Yongqiang Zhang;Weimin Hou

{"title":"Lightweight Real-Time Object Detection via Enhanced Global Perception and Intra-Layer Interaction for Complex Traffic Scenarios","authors":"ben liang;Jia Su;Kangkang Feng;Yongqiang Zhang;Weimin Hou","doi":"10.1109/TLA.2024.10472963","DOIUrl":"https://doi.org/10.1109/TLA.2024.10472963","url":null,"abstract":"Due to unfavorable factors such as cluttered spatial and temporal distribution of multiple types of targets, occlusion of background objects of different shapes, and blurring of feature information by inclement weather, the low detection accuracy in complex traffic scenarios has been a troubling issue. Regarding the above-mentioned issues, the paper proposes a lightweight real-time detection network to augment multi-scale object perception capabilities in traffic scenarios while ensuring real-time detection speed. First, we construct a novel global feature extraction (GFE) structure by cascading orthogonal band convolution kernels that capture the global dependencies between pixels to improve feature discrimination. Then, an intra-layer multi-scale feature interaction (IMFI) module is proposed to reinforce the effective reuse and multi-level transfer of salient features. In addition, we build a multi-branch scale-aware aggregation (MSA) module that captures abundant context-associated features to improve the target decision-making capability and the self-adaptive capability of the model when dealing with diverse object scales. Experimental results demonstrate that the proposed approach attains a significant improvement of 5.6 percentage points in AP50 with fewer parameters and computational power compared to the baseline model, with an improved FPS of 73. Furthermore, our approach strikes the optimal speed-accuracy balance when compared against other excellent object detection algorithms of the same magnitude.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10472963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161234","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 the Economic Viability of Low Power Wind Farms in Mexico 墨西哥低功率风电场的经济可行性评估

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-14 DOI: 10.1109/TLA.2024.10472956

REYNALDO IRACHETA CORTEZ;Iridian Karime Angeles Pérez

引用次数: 0

Comparison of Modern Deep Neural Networks Architectures for Cross-section Segmentation in Images of Log Ends 用于原木端部图像截面分割的现代深度神经网络架构比较

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-03-14 DOI: 10.1109/TLA.2024.10472957

Felipe Nack;Marcelo Ricardo Stemmer;Maurício Edgar Stivanello

引用次数: 0