IEEE Latin America Transactions最新文献_第10页

Digital Twin Implementation for an Additive Manufacturing Robotic Cell based on the ISO 23247 Standard 基于 ISO 23247 标准的增材制造机器人单元的数字孪生实施

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620386

Joao Vítor Arantes Cabral;Alberto José Álvares;Guilherme Caribé de Carvalho

{"title":"Digital Twin Implementation for an Additive Manufacturing Robotic Cell based on the ISO 23247 Standard","authors":"Joao Vítor Arantes Cabral;Alberto José Álvares;Guilherme Caribé de Carvalho","doi":"10.1109/TLA.2024.10620386","DOIUrl":"10.1109/TLA.2024.10620386","url":null,"abstract":"Recent developments in the field of Additive Manufacturing have been improving the capabilities of the technique not only to be able to build complex geometry parts layer by layer with different materials, but also including the so-called Industry 4.0 technologies, namely Internet of Things (IoT), big data (BD) and Digital Twins (DT). The combination of these technologies with Additive Manufacturing allows online process monitoring and simulation, along with the cloud storage of the process and geometry data collected during the material deposition. The analysis of such data allows online and post-deposition identification of eventual process instabilities that can lead to quality problems. Considering the above-mentioned concepts, this work presents a DT architecture based on the ISO 23247-Digital Twin Framework for Manufacturing standard. In this sense, an approach of a Digital Twin framework for metal additive manufacturing process in a robotic cell composed of a robotic arm, positioning table and welding machine is presented and validated, focusing on the collection and cloud storage of both geometrical and process data along with near real-time process simulation.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"651-658"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883106","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

Multilevel Deep Semantic Feature Asymmetric Network for Cross-Modal Hashing Retrieval 用于跨模态哈希检索的多层次深度语义特征非对称网络

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620388

Xiaolong Jiang;Jiabao Fan;Jie Zhang;Ziyong Lin;Mingyong Li

{"title":"Multilevel Deep Semantic Feature Asymmetric Network for Cross-Modal Hashing Retrieval","authors":"Xiaolong Jiang;Jiabao Fan;Jie Zhang;Ziyong Lin;Mingyong Li","doi":"10.1109/TLA.2024.10620388","DOIUrl":"10.1109/TLA.2024.10620388","url":null,"abstract":"Cross-modal hash retrieval has been widely applied due to its efficiency and low storage overhead. In the domain of supervised cross-modal hash retrieval, existing methods exhibit limitations in refining data features, leading to insufficiently detailed semantic information extraction and inaccurate reflection of data similarity. The challenge lies in utilizing multi-level deep semantic features of the data to generate more refined hash representations, thereby reducing the semantic gap and heterogeneity caused by different modalities. To address this challenging problem, we propose a multilevel deep semantic feature asymmetric network structure (MDSAN). Firstly, this architecture explores the multilevel deep features of the data, generating more accurate hash representations under richer supervised information guidance. Secondly, we investigate the preservation of asymmetric similarity within and between different modalities, allowing for a more comprehensive utilization of the multilevel deep features to bridge the gap among diverse modal data. Our network architecture effectively enhances model accuracy and robustness. Extensive experiments on three datasets validate the significant improvement advantages of the MDSAN model structure compared to current methods.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"621-631"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620388","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883107","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 new Channel and QoS Aware Scheduler algorithm for real time and non real time traffic in 5G heterogeneous networks 针对 5G 异构网络中实时和非实时流量的新型信道和服务质量感知调度器算法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620389

Gabriel Andrade Queiroz;Ederson Rosa da Silva

引用次数: 0

Noise Amplitude in Ambient PMU Data and its Impact on Load Models Identification 环境 PMU 数据中的噪声幅度及其对负载模型识别的影响

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620390

Joffre Remigio Constante Segura;Graciela Colomé;Diego Echeverría

{"title":"Noise Amplitude in Ambient PMU Data and its Impact on Load Models Identification","authors":"Joffre Remigio Constante Segura;Graciela Colomé;Diego Echeverría","doi":"10.1109/TLA.2024.10620390","DOIUrl":"10.1109/TLA.2024.10620390","url":null,"abstract":"A current trend in load modeling topic is to take advantage of ambient data from Phasor Measurement Units (PMU) to estimate the parameters of load models. In this context, the estimation algorithms or methodologies that are proposed or investigated need to be evaluated in a controlled environment, where, among other things, synthetic PMU measurements obtained from simulations are used. These synthetic measurements require the addition of noise to be like the real ones. The problem found in the literature is the large difference in noise magnitudes used by the authors in their research. These magnitudes in several cases are inconsistent with each other and even seem to be exaggerated. It is for this reason that the present work determines the noise contained in the ambient data reported by PMU. The reliability of the results of this work is based, among other things, on the use of real PMU measurements, located in two different countries, with diverse reporting rates, and located at high, medium, and low voltage. Moreover, this work quantifies the impact that noise has on load modeling with ambient PMU data. In conclusion, the main results of this work are two. The first one covers the noise magnitudes contained in ambient PMU data. The second one demonstrates that noise has a significant and negative impact on load modeling.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"678-685"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883114","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

Development and comparison of a vision system for hook inspection on cranes 开发和比较用于起重机吊钩检查的视觉系统

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620393

Luis Alberto Tovar Ortiz;Miguel Hernández-Bolaños;Juan Carlos Herrera-Lozada;Israel Rivera-Zárate;Mauricio Olguín-Carbajal;Jacobo Sandoval-Gutierrez

{"title":"Development and comparison of a vision system for hook inspection on cranes","authors":"Luis Alberto Tovar Ortiz;Miguel Hernández-Bolaños;Juan Carlos Herrera-Lozada;Israel Rivera-Zárate;Mauricio Olguín-Carbajal;Jacobo Sandoval-Gutierrez","doi":"10.1109/TLA.2024.10620393","DOIUrl":"10.1109/TLA.2024.10620393","url":null,"abstract":"Overhead cranes are industrial machines that can cause user accidents due to deficiencies in inspecting their various components. One of the activities consists of verifying that the load hook does not exceed the limit deformation. However, the lack of historical records and negligence in visual inspection is a problem to ensure a correct maintenance service. Therefore, the objective of the research was to develop a vision system capable of inspecting, recording, and verifying the hook parameters. The method involved designing a vision module on an integral crane scanner system. A five-state deformation experiment of a cargo hook was modeled with ANSYS and fabricated in 3D printing to validate the proposed module by measuring the parameters manually with a commercial and proprietary vision system. The comparison between the two systems was satisfactory in detecting the latch and the correct position. Finally, the proprietary system improved the resolution up to 0.0435 mm on the hook deformation. With the systems contribution, it will be possible to know the valuable and safe life of the crane hook by automatic constant inspection.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"632-641"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620393","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883109","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

Three-Dimensional Reconstruction of Enclosed Environments Based on Two-Dimensional LiDAR: Starting Point and Future Challenges 基于二维激光雷达的封闭环境三维重建：起点与未来挑战

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620414

Pablo Raul Yanyachi;Alfredo Mamani Saico;Flor Chacon;Miguel Esquivel;Juan Carlos Cutipa Luque;Daniel Yanyachi

{"title":"Three-Dimensional Reconstruction of Enclosed Environments Based on Two-Dimensional LiDAR: Starting Point and Future Challenges","authors":"Pablo Raul Yanyachi;Alfredo Mamani Saico;Flor Chacon;Miguel Esquivel;Juan Carlos Cutipa Luque;Daniel Yanyachi","doi":"10.1109/TLA.2024.10620414","DOIUrl":"10.1109/TLA.2024.10620414","url":null,"abstract":"Robotics and LiDAR technology stand as a crucial cornerstone for the development of cutting-edge three-dimensional mapping systems. This study represents a significant advancement by addressing the development of an initial approach for a three-dimensional mapping system, utilizing a unique LiDAR translational mechanism. In pursuit of this objective, a comprehensive review of works exclusively dedicated to mechanisms employing two-dimensional LiDAR has been conducted. This selective approach results in a comprehensive understanding of the mechanism used for three-dimensional reconstruction and lays the groundwork for future endeavors. Furthermore, a robotic prototype has been implemented using the Robot Operating System (ROS), serving as an accessible tool for implementing our initial approach and engaging new researchers from our university in the application of robotics for three-dimensional reconstruction through LiDAR technology. The validation of our study is conducted through tests in both open and closed environments, revealing high data resolution and a correlation of over 98% with the real environment. The study suggests further research based on the identified errors and introduces new challenges for developing robust prototypes capable of handling changes in a robot's attitude.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"704-712"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620414","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883110","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 Novel Transformer Less Ultra Gain DC-DC Converter for Renewable Micro Energy Sources 用于可再生微型能源的新型无变压器超增益 DC-DC 转换器

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620415

Manikanta Kuraganti;Ramulu Chinthamalla

引用次数: 0

Table of Contents August 2024 目录 2024 年 8 月

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620385

引用次数: 0

CPP-UNet: Combined Pyramid Pooling Modules in the U-Net Network for Kidney, Tumor and Cyst Segmentation CPP-UNet：用于肾脏、肿瘤和囊肿分割的 U-Net 网络中的组合金字塔池模块

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620387

Caio Eduardo Falcão Matos;Geraldo Braz Junior;João Dallyson Sousa de Almeida;Anselmo Cardoso de Paiva

{"title":"CPP-UNet: Combined Pyramid Pooling Modules in the U-Net Network for Kidney, Tumor and Cyst Segmentation","authors":"Caio Eduardo Falcão Matos;Geraldo Braz Junior;João Dallyson Sousa de Almeida;Anselmo Cardoso de Paiva","doi":"10.1109/TLA.2024.10620387","DOIUrl":"10.1109/TLA.2024.10620387","url":null,"abstract":"Renal carcinoma stands prominently as a significant contributor to global cancer-related mortality rates, highlighting the critical importance of early detection and diagnosis in the management of this ailment. Moreover, the rising incidence of kidney tumors poses a challenge in differentiating between malignant and benign lesions using radiographic methods. Therefore, we present CPP-UNet, an innovative convolutional neural network-based architecture designed for the segmentation of renal structures, including the kidneys themselves and renal masses (cysts and tumors), in a computed tomography (CT) scan. Particularly, we investigate the fusion of the Pyramid Pooling Module (PPM) and Atrous Spatial Pyramid Pooling (ASPP) for improving the UNet network by integrating contextual information across multiple scales. Our proposed method yielded promising outcomes in the Kidney and Kidney Tumor Segmentation challenge (KiTS21 and KiTS23) datasets, exhibiting Dice indices of 93.51% and 92.84% for Kidneys and Masses, 90.33% and 92.08% for Renal Masses, and 85.69% and 88.17% for Tumors, respectively.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 8","pages":"642-650"},"PeriodicalIF":1.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883116","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

Exploring COVID-19 Trends in Mexico during the Winter Season with Explainable Artificial Intelligence (XAI) 利用可解释人工智能（XAI）探索墨西哥冬季的 COVID-19 趋势

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562257

Angélica Guzmán-Ponce;Rosa María Valdovinos-Rosas;Jacobo Leonardo González-Ruíz;Iván Franciso-Valencia;J. Raymundo Marcial-Romero

{"title":"Exploring COVID-19 Trends in Mexico during the Winter Season with Explainable Artificial Intelligence (XAI)","authors":"Angélica Guzmán-Ponce;Rosa María Valdovinos-Rosas;Jacobo Leonardo González-Ruíz;Iván Franciso-Valencia;J. Raymundo Marcial-Romero","doi":"10.1109/TLA.2024.10562257","DOIUrl":"https://doi.org/10.1109/TLA.2024.10562257","url":null,"abstract":"COVID-19 has become the most significant pandemic in recent years. Today, Mexico has recorded millions of infections and deaths since the pandemic started. Around the world, machine learning methods have been used to understand, predict or develop strategies to manage the virus and the pandemic. Although algorithms provide good results, it is necessary to understand why a model makes specific predictions with a particular data set. To explain this question, we apply Explainable Artificial Intelligence (XAI) in this paper. With this, it is possible to understand the characteristics that influence the model decisions when denoting between deaths and survivors. As a case of study, the positive cases detected during the winter season of 2020-2021 and 2021-2022 were considered. In this season, respiratory diseases increased considerably, and in the study period, they influenced the increase in positive cases and the spread of COVID-19. Preliminary results suggest that age is essential when using a Random Forest model. Preliminary results suggest that age is essential when determining the prognosis of a patient infected by COVID-19 in winter seasons.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"22 7","pages":"539-547"},"PeriodicalIF":1.3,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10562257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141422500","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