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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620390
Joffre Remigio Constante Segura;Graciela Colomé;Diego Echeverría
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.
当前负荷建模课题的一个趋势是利用相量测量单元(PMU)的环境数据来估算负荷模型的参数。在这种情况下,所提出或研究的估算算法或方法需要在受控环境中进行评估,其中包括使用模拟获得的合成 PMU 测量值。这些合成测量值需要添加噪声,才能与真实测量值相似。文献中发现的问题是,作者在研究中使用的噪声量级差异很大。在一些情况下,这些量级并不一致,甚至似乎被夸大了。因此,本研究确定了 PMU 报告的环境数据中包含的噪声。这项工作结果的可靠性主要基于使用真实的 PMU 测量,这些 PMU 位于两个不同的国家,具有不同的报告率,并且位于高、中、低电压。此外,这项工作还利用环境 PMU 数据量化了噪声对负荷建模的影响。总之,这项工作的主要成果有两个。第一项涉及环境 PMU 数据中包含的噪声量级。第二个结果表明,噪声对负荷建模具有显著的负面影响。
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
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.
桥式起重机是一种工业机器,由于对其各个部件的检查存在缺陷,可能会导致用户事故。其中一项工作就是检查吊钩是否超过极限变形。然而,缺乏历史记录和忽视目视检查是确保正确维护服务的一个问题。因此,研究的目的是开发一种能够检查、记录和验证吊钩参数的视觉系统。该方法涉及在整体式起重机扫描系统上设计一个视觉模块。使用 ANSYS 对一个货钩的五态变形实验进行建模,并用 3D 打印技术进行制造,通过手动测量商用和专有视觉系统的参数来验证所提出的模块。两个系统在检测闩锁和正确位置方面的对比结果令人满意。最后,专有系统将钩子变形的分辨率提高到了 0.0435 毫米。有了这套系统的贡献,就有可能通过自动持续检测了解起重机吊钩的价值和安全寿命。
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
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.
机器人技术和激光雷达技术是开发尖端三维测绘系统的重要基石。本研究利用独特的激光雷达平移机制,开发了三维测绘系统的初始方法,是一项重大进展。为了实现这一目标,我们对专门研究二维激光雷达机制的著作进行了全面回顾。通过这种选择性方法,我们对三维重建所使用的机制有了全面的了解,并为今后的工作奠定了基础。此外,我们还使用机器人操作系统(ROS)实现了一个机器人原型,作为实现我们初步方法的一个可访问工具,并让本校的新研究人员参与到通过激光雷达技术进行三维重建的机器人应用中来。我们的研究通过在开放和封闭环境中的测试进行了验证,结果显示数据分辨率高,与真实环境的相关性超过 98%。该研究建议根据已发现的误差开展进一步研究,并为开发能够处理机器人姿态变化的稳健原型提出了新的挑战。
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620415
Manikanta Kuraganti;Ramulu Chinthamalla
This article proposes a novel Ultra Gain Cubic (UGC) DC-DC converter for integrating PV and Fuel cell into the grid. The proposed UGC has 12 components in total, including asingle switch. The steady-state operation of the converter in both modes were explained and necessary equations were derived. The impact of parasitic elements on the UGCs DC-voltage gain is investigated and finally the stability of the UGC converter is verified through state space averaging technique. Optimized number of components, Ultra voltage gain, input and output terminals are connected to same ground, Single switch, input current continuous are the key aspects of the UGC converter. A 300W prototype with a 325V output voltage is tested and validated using hardware results.
本文提出了一种新型超增益立方(UGC)直流-直流转换器,用于将光伏和燃料电池并入电网。拟议的 UGC 共有 12 个组件,包括一个开关。文章解释了两种模式下转换器的稳态运行,并推导出必要的方程式。研究了寄生元件对 UGC 直流电压增益的影响,最后通过状态空间平均技术验证了 UGC 转换器的稳定性。优化元件数量、超电压增益、输入和输出端连接到同一地线、单开关、输入电流连续是 UGC 转换器的主要方面。利用硬件结果对输出电压为 325V 的 300W 原型进行了测试和验证。
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620385
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
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.
肾癌是导致全球癌症相关死亡率的一个重要因素,这凸显了早期检测和诊断在治疗这一疾病方面的极端重要性。此外,肾脏肿瘤发病率的不断上升也给使用放射学方法区分恶性和良性病变带来了挑战。因此,我们提出了 CPP-UNet,这是一种基于卷积神经网络的创新架构,设计用于分割计算机断层扫描(CT)中的肾脏结构,包括肾脏本身和肾脏肿块(囊肿和肿瘤)。特别是,我们研究了金字塔汇集模块(PPM)和阿特柔斯空间金字塔汇集(ASPP)的融合,通过整合跨多个尺度的上下文信息来改进 UNet 网络。我们提出的方法在肾脏和肾脏肿瘤分割挑战赛(KiTS21 和 KiTS23)数据集中取得了可喜的成果,肾脏和肿块的 Dice 指数分别为 93.51% 和 92.84%,肾肿块的 Dice 指数分别为 90.33% 和 92.08%,肿瘤的 Dice 指数分别为 85.69% 和 88.17%。
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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 Q3 Computer Science 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
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.
COVID-19 已成为近年来最重要的大流行病。如今,自大流行开始以来,墨西哥已记录了数百万例感染和死亡病例。世界各地都在使用机器学习方法来了解、预测或制定管理病毒和大流行病的策略。虽然算法提供了很好的结果,但有必要了解为什么一个模型会对特定的数据集做出特定的预测。为了解释这个问题,我们在本文中应用了可解释人工智能(XAI)。有了它,我们就有可能了解在表示死亡和幸存者时影响模型决策的特征。本文以 2020-2021 年和 2021-2022 年冬季发现的阳性病例为研究案例。在这个季节,呼吸道疾病显著增加,在研究期间,这些疾病影响了阳性病例的增加和 COVID-19 的传播。初步结果表明,使用随机森林模型时,年龄至关重要。初步结果表明,在冬季确定 COVID-19 感染者的预后时,年龄至关重要。
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引用次数: 0
Reclosers Modeling for Temporal Simulation of Distribution Networks in Simulink/ Matlab 在 Simulink/ Matlab 中为配电网络的时态仿真建立重组器模型
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562260
Ramayana Pereira;Rodrigo Cesa Dantas de Lima;Helon David M. Braz;Núbia S. Dantas Brito;Pedro Henrique Fernandes Monteiro;Jamile P. N. Amoah
Over the past few years, Brazils increasing dependence on electricity has caused a continuous growth in demand and, therefore, the need to guarantee long-term energy supply to costumers. Hence, studying the devices that are responsible ensuring this continuity is critical since the improper operation of this equipment can reduce the reliability of the electrical energy distribution system, therefore requiring detailed study that incorporates simulations, modeling, and analysis of response capacity in the face of real loads. Simulink/Matlab is one of the most widely used software programs in academia. However, it does not have readymade templates for protection system equipment such as relays, fuses, and reclosers. Herein, the aim is to model the digital recloser using the S-function block of Simulink/Matlab. The proposed model for the recloser follows the configurations required by Brazilian electricity distribution companies, i.e. four operations divided into fast and slow, the latter one being responsible for permanently opening the section of the system on fault. To validate the modeled device, the IEEE 34-bar system was used, in which several operational cases were considered. The results obtained show that the proposed digital recloser model performed successfully proved to be a promising proposal for protection studies of power distribution systems.
在过去几年中,巴西对电力的依赖性不断增加,导致需求持续增长,因此需要保证向用户长期供应能源。因此,对负责确保这种连续性的设备进行研究至关重要,因为这些设备的不正常运行会降低配电系统的可靠性,因此需要进行详细研究,包括模拟、建模和分析面对实际负荷时的响应能力。Simulink/Matlab 是学术界使用最广泛的软件程序之一。然而,它并不具备继电器、熔断器和重合器等保护系统设备的现成模板。本文旨在使用 Simulink/Matlab 的 S 函数块为数字重合器建模。所提议的重合器模型遵循巴西配电公司所要求的配置,即分为快速和慢速的四种操作,后一种操作负责永久性地打开发生故障的系统部分。为了验证建模设备,使用了 IEEE 34bar 系统,其中考虑了几种运行情况。结果表明,所提出的数字重合器模型已成功应用于配电系统的保护研究中,并被证明是一项很有前途的建议。
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引用次数: 0
Incremental Relaying with Partial Relay Selection for Enhancing the Performance of Underlay Cognitive NOMA Networks 利用部分中继选择的增量中继提高下层认知 NOMA 网络性能
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562255
Archana P;Harigovindan V P;Griffith Faustina G;Babu A V
In this paper, we consider an underlay cognitive non-orthogonal multiple access (CNOMA) network, where incremental relaying with partial relay selection (PRS) scheme (i.e., IRP scheme) is proposed for the secondary network. We derive analytical expressions for the outage probabilities of the secondary users (SUs) and the system throughput of the IRP-CNOMA network. The proposed approach is compared to conventional cooperative relaying-based CNOMA (CR-CNOMA) networks with PRS scheme (i.e., CRP-CNOMA) and random relay selection (RRS) scheme. The results show that the proposed scheme significantly lowers the outage probability of the SUs while improving the system throughput.
在本文中,我们考虑了一个底层认知非正交多址(CNOMA)网络,其中为二次网络提出了部分中继选择(PRS)增量中继方案(即 IRP 方案)。我们推导出 IRP-CNOMA 网络的二次用户(SU)中断概率和系统吞吐量的分析表达式。我们将提出的方法与采用 PRS 方案(即 CRP-CNOMA)和随机中继选择 (RRS) 方案的传统基于合作中继的 CNOMA(CR-CNOMA)网络进行了比较。结果表明,建议的方案大大降低了 SU 的中断概率,同时提高了系统吞吐量。
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引用次数: 0
Power System Stability Improvement Using STATCOM: New Practical Method for Placement and Sizing 使用 STATCOM 提高电力系统稳定性:新的实用布置和选型方法
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562256
Jimmy Cesar Gonzales Arispe;Jhoel Arroyo Flores
In Latin America, in recent years, several projects with FACTS equipment have been materialized to improve the stability of the power system. Among these, for example, use of SVC equipment in Peru to regulate voltage, and STATCOM in Colombia to support voltage and prevent collapse of electrical areas. Several variables influence the way a STATCOM operates, its size is an important factor, and also the electrical substation where it is installed; these two aspects, although they can be calculated separately, in the real time operation it is evident that their contributions can be optimized, considering them jointly. This article aims to show a new practical methodology to evaluate the location and size of a STATCOM through a sequence of calculations and the application of routine electrical studies executed by system operators, in order to improve voltage and/or angular stability of the units. As a case of practical application, the stability problems of the South Bolivian system were analyzed, as well as the installation of a STATCOM to improve the operational limitations.
近年来,拉丁美洲实施了多个使用 FACTS 设备的项目,以提高电力系统的稳定性。例如,秘鲁使用 SVC 设备来调节电压,哥伦比亚使用 STATCOM 来支持电压并防止电力区域崩溃。STATCOM 的运行方式受多个变量的影响,其大小是一个重要因素,安装 STATCOM 的变电站也是一个重要因素;这两个方面虽然可以单独计算,但在实时运行中,显然可以通过联合考虑来优化它们的贡献。本文旨在展示一种新的实用方法,通过一系列计算和系统运营商执行的常规电气研究的应用,评估 STATCOM 的位置和大小,以提高设备的电压和/或角度稳定性。作为实际应用案例,分析了南玻利维亚系统的稳定性问题,以及安装 STATCOM 以改善运行限制的问题。
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引用次数: 0
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IEEE Latin America Transactions
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