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Table of Contents July 2025 目录2025年7月
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045668
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引用次数: 0
Multi-Objective Optimization for Safety in the Grounding of AC Substations 交流变电站接地安全的多目标优化
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045670
Diego Arias-Cazco;Luis Cruz-Panchi
This work proposes a multi-objective optimization problem for the optimal design of grounding systems, considering personnel safety limits and design guidelines defined in the IEEE Standard Std. 80 - IEEE Guide for Safety in AC Substation Grounding. The initial objective functions proposed include the amount of conductor and the number of ground rods in the grounding grid, ensuring that the mesh voltage (Em) and step voltage (Es) do not exceed the tolerable limits for the human body (Etouch and Estep). The multi-objective problem generates the Pareto front and Parallel Coordinates Plot, providing valuable insights for result analysis, sensitivity analysis, and informed decision-making for grounding system designers. The model is validated using the exercises in Annex B of IEEE Std. 80, demonstrating its ability to deliver a comprehensive analysis of results while considering the full range of feasible solutions for an optimal and safe design of AC substation grounding systems.
考虑到IEEE标准Std. 80 - IEEE交流变电站接地安全指南中定义的人员安全限制和设计准则,本工作提出了一个多目标优化问题,用于接地系统的优化设计。最初提出的目标函数包括接地网中导体的数量和接地棒的数量,以保证接地网电压(Em)和阶跃电压(Es)不超过人体的可容忍限值(Etouch和Estep)。多目标问题生成了帕累托前沿和平行坐标图,为接地系统设计人员的结果分析、灵敏度分析和知情决策提供了有价值的见解。该模型使用IEEE标准80附件B中的练习进行了验证,证明了它能够提供全面的结果分析,同时考虑到交流变电站接地系统的最佳和安全设计的全方位可行解决方案。
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引用次数: 0
Enhanced YOLOv8 for Detecting Multiple Defects on Bridge Surfaces 增强的YOLOv8用于检测桥梁表面上的多个缺陷
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045669
Ruiping Li;Linchang Zhao;Hao Wei;Bocheng OuYang;Bing Fang;Yongchi Xu;Guoqing Hu
With the advancement of machine vision, numerous models have been created to detect imperfections in bridges. However, the bulk of these models are designed for single defect detection and are not adept at managing cases with concurrent multiple defects. As a result, quickly recognizing the array of defects on bridge surfaces is still a major obstacle. In response to this challenge, the current research introduces the YOLOv8-CBAM-Wise-IoU model, specifically crafted for the detection of seven distinct bridge surface defect categories. This model integrates the CBAM mechanism for focusing attention and the Wise-IoU for calculating loss, with its effectiveness measured by metrics including accuracy, retrieval rate, F1 measure, and mAP50. Rigorous ablation analyses and benchmarking against both single-tier and multi-tier deep learning frameworks were performed to substantiate the models utility. The YOLOv8-CBAM-Wise-IoU model exhibited formidable performance, recording an accuracy rate of 97.9%, a retrieval rate of 76%, an F1 measure of 58%, an mAP50 of 55.4%, and an mAP50-95 of 32.4%. These results outstrip those of standard models and other ablation variations, emphasizing the models ability to boost the precision and robustness of detecting various defect types on bridge surfaces. Code is available at https://github.com/IamSunday/Enhanced-YOLOv8-for-Detecting-Multiple-Defects-on-Bridge-Surfaces.
随着机器视觉的进步,已经创建了许多模型来检测桥梁的缺陷。然而,这些模型中的大部分是为单个缺陷检测而设计的,并且不擅长管理同时存在多个缺陷的情况。因此,快速识别桥梁表面的缺陷阵列仍然是一个主要障碍。为了应对这一挑战,目前的研究引入了YOLOv8-CBAM-Wise-IoU模型,专门用于检测七种不同的桥梁表面缺陷类别。该模型集成了用于集中注意力的CBAM机制和用于计算损失的Wise-IoU,其有效性通过准确性、检索率、F1测量和mAP50等指标来衡量。对单层和多层深度学习框架进行了严格的消融分析和基准测试,以证实模型的实用性。yolov8 - cam - wise - iou模型的准确率为97.9%,检索率为76%,F1测量值为58%,mAP50为55.4%,mAP50-95为32.4%。这些结果超过了标准模型和其他烧蚀变化的结果,强调了模型在检测桥梁表面各种缺陷类型方面提高精度和鲁棒性的能力。代码可从https://github.com/IamSunday/Enhanced-YOLOv8-for-Detecting-Multiple-Defects-on-Bridge-Surfaces获得。
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引用次数: 0
Brazilian Stock Market Forecast with Heterogeneous Data Integration for a Set of Stocks 一组股票异质数据整合的巴西股市预测
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045642
Michele Jackeline Andressa Rosa;Marcos Roberto Souza;Carlos Leandro Silva Machado;Sandro José Rigo;Jorge Luis Victória Barbosa
The significant growth of the Brazilian stock market, coupled with the increase in investors in riskier assets, has generated a demand for automated forecasting tools. This research investigated the behavior and movement of stocks in the Brazilian market by integrating historical price series and textual data extracted from sentiments in X old Twitter messages and news collected from Google News. The analysis used natural language processing techniques for sentiment analysis, enabling an efficient fusion between numerical and textual information. Experiments were carried out with the assets PETR4, VALE3, BBDC4, and ITUB4, applying the Long Short Term Memory, Deep Neural Network, and Linear Regression models to predict the behavior of these assets. The results indicated that the LSTM models, especially Model 2, presented the best performance in terms of predictive capacity, with the lowest values of RMSE 0.0171 and high values of coefficint of determination ranging from 0.9707 to 0.9873. The study concludes that integrating numerical and textual data, combined with deep learning techniques, offers a promising approach to stock market forecasting, increasing forecasting gains.
巴西股市的显著增长,加上投资者对高风险资产的投资增加,产生了对自动预测工具的需求。本研究通过整合历史价格序列和从X旧Twitter消息和谷歌news收集的新闻中提取的情绪文本数据,调查了巴西市场股票的行为和运动。该分析使用自然语言处理技术进行情感分析,实现了数字和文本信息之间的有效融合。对资产PETR4、VALE3、BBDC4和ITUB4进行实验,应用长短期记忆、深度神经网络和线性回归模型预测这些资产的行为。结果表明,LSTM模型,尤其是模型2的预测能力最好,RMSE最小值为0.0171,决定系数最高值为0.9707 ~ 0.9873。该研究的结论是,将数字和文本数据结合深度学习技术,为股市预测提供了一种有前途的方法,提高了预测收益。
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引用次数: 0
Compact 4-Port MIMO Antenna-Diplexer Utilizing Slotted-HMSIW Technology 紧凑的4端口MIMO天线双工器利用开槽hmsiw技术
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045644
Divya Chaturvedi;Tiruganesh Lanka;Arvind Kumar
A new design for a 4-port multiple input multiple output (MIMO) self-diplexing antenna is introduced, utilizing half-mode substrate integrated waveguide (SIW) technology. This antenna operates simultaneously at 4.9 GHz for WLAN and 5.8 GHz for ISM band communications, maintaining an isolation of approximately 30 dB. By employing the half-mode topology, the antenna size is reduced by 50% while preserving the dominant mode TE110 characteristics. To enhance bandwidth, a rectangular slot is etched at the centre of each cavity, splitting the dominant mode into odd-TE110 and even-TE110 modes. Through careful optimization of antenna parameters and the perpendicular placement of radiating elements for different frequencies, the design ensures self-diplexing property. To validate the design, a prototype of the antenna is manufactured, and experimental results are verified with simulations. The proposed antenna demonstrates a peak gain of 5.2 dBi in the lower-frequency band and 5.9 dBi in the upper-frequency band, with a high efficiency exceeding 94% in both of the frequency bands. Additionally, all MIMO-diversity parameters were found to be within satisfactory limits.
介绍了一种利用半模基片集成波导(SIW)技术设计的四端口多输入多输出(MIMO)自双工天线。该天线同时工作在4.9 GHz的WLAN和5.8 GHz的ISM频段通信,保持大约30 dB的隔离。通过采用半模拓扑,天线尺寸减小了50%,同时保留了主导模式TE110的特性。为了提高带宽,在每个空腔的中心蚀刻一个矩形槽,将主导模式分成奇te110和偶te110模式。通过对天线参数的精心优化和不同频率下辐射元件的垂直布置,保证了自双工性能。为了验证设计的正确性,制作了天线样机,并对实验结果进行了仿真验证。该天线在低频和高频段的峰值增益分别为5.2 dBi和5.9 dBi,在两个频段的效率均超过94%。此外,所有mimo分集参数都在令人满意的范围内。
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引用次数: 0
Dosimetry Strategies for Non-Autonomous UV-C Robots 非自主UV-C机器人的剂量学策略
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-06-20 DOI: 10.1109/TLA.2025.11045646
Maikel Roberto Siqueira Gambetá-Leite;Rodrigo Araujo Real;Chiara das Dores do Nascimento;Everton Granemann Souza
This study aimed to evaluate the coverage and disinfection effectiveness of SIDUV-C, a non-autonomous UV-C robot operating at a wavelength of 254 nm and a power output of 3900 W, which made it the most powerful in its category. Experimental methods included the determination of UV irradiation doses, UV-Vis spectral analysis, and modeling of irradiance fields to estimate the systems ability to deliver adequate doses of UV energy to target surfaces or airborne pathogens. Commercially available dosimetric films sensitive to UV-C radiation were employed to quantify doses across different spatial regions, and their accuracy was validated against UV spectroradiometry techniques and microbiological assays with methicillin-resistant Staphyloccoccus aureus (MRSA). The results demonstrated that both dosimetric films and spectroradiometer measurements consistently indicated the robot's rapid and effective disinfection performance across an unshaded area of 12.25 m2. The doses delivered were sufficient to neutralize a wide range of bacterial species commonly found in hospital environments across Latin America, including multidrug-resistant pathogens, thus underscoring the potential of UV-C disinfection robots as a critical tool in mitigating antimicrobial resistance in healthcare settings.
本研究旨在评估非自主UV-C机器人SIDUV-C的覆盖范围和消毒效果,该机器人的工作波长为254 nm,输出功率为3900 W,是同类机器人中功率最大的。实验方法包括测定紫外线照射剂量、紫外可见光谱分析和辐射场建模,以估计系统向目标表面或空气传播病原体提供足够剂量的紫外线能量的能力。采用市售的对UV- c辐射敏感的剂量测定膜来量化不同空间区域的剂量,并通过紫外光谱辐射测定技术和耐甲氧西林金黄色葡萄球菌(MRSA)的微生物测定来验证其准确性。结果表明,剂量学薄膜和光谱辐射计的测量结果一致表明,机器人在12.25平方米的无阴影区域内具有快速有效的消毒性能。所提供的剂量足以中和拉丁美洲各地医院环境中常见的多种细菌种类,包括耐多药病原体,从而强调了UV-C消毒机器人作为减轻医疗环境中抗菌素耐药性的关键工具的潜力。
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引用次数: 0
Analysis and study of complete and incomplete combustion in a internal combustion engine using different amounts of biogas 使用不同量的沼气对内燃机完全燃烧和不完全燃烧的分析和研究
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-04-22 DOI: 10.1109/TLA.2025.10974370
Andrea Elizabeth Pérez;Erik Zamora Gomez;Giorgiy Polupan
This article explores the characteristics of biogas, its main composition (methane and carbon dioxide) and its potential to reduce greenhouse gas emissions. This study was carried out using various quantities of biogas, to analyze the main pollutants released by the engine at the end of the combustion process, according to the quantities of biogas that enter the engine. The results we obtained when carrying out the theoretical study show us that increasing the amounts of methane favors the behavior of the engine in various conditions, on the contrary, increasing methane and reducing CO2 increases the concentrations of pollutants such as CO, SO2. Biogas has been implemented as an alternative fuel, highlighting its positive impact on energy sustainability and the reduction of operating costs. Finally, we analyze that biogas has great potential to contribute to a cleaner and more sustainable energy future if current barriers are overcome.
本文探讨了沼气的特性、主要成分(甲烷和二氧化碳)及其减少温室气体排放的潜力。这项研究使用了不同数量的沼气,根据进入发动机的沼气数量,分析发动机在燃烧过程结束时释放的主要污染物。理论研究得出的结果表明,增加甲烷量有利于发动机在各种条件下的表现,相反,增加甲烷量和减少二氧化碳会增加一氧化碳、二氧化硫等污染物的浓度。沼气已被用作一种替代燃料,突出了其对能源可持续性和降低运营成本的积极影响。最后,我们分析认为,如果能克服当前的障碍,沼气具有巨大的潜力,可为更清洁、更可持续的能源未来做出贡献。
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引用次数: 0
Evaluating Robustness and Reliability of a C-NIDS for IoT Networks in Virtualized Environments 虚拟环境下物联网网络C-NIDS的鲁棒性和可靠性评估
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-04-22 DOI: 10.1109/TLA.2025.10974426
Agnaldo Batista;Carlos Pedroso;Samuel Brísio;Guilherme Rodrigues;Aldri Santos
Protecting thousands of smart devices across multiple IoT domains requires robust and collaborative security solutions, such as Collaborative Network Intrusion Detection Systems (C-NIDS). In this context, collaboration among NIDS improves intrusion detection by sharing information about local threats. However, most current solutions neglect the reliability and robustness assessment of these systems, especially when we consider C-NIDS. Thus, the lack of standardized and robust assessments to measure the reliability and accuracy of C-NIDS in attacks detection results in significant uncertainties regarding their ability to correctly identify threats. In this paper, we present an evaluation of a collaborative NIDS that integrates standalone NIDS to share information about detected and mitigated threats, improving overall intrusion detection. The evaluation took place in a virtualized IoT environment and results showed that collaborative NIDS detected DDoS attacks with an accuracy of at least 99.94%, a minimum recall of 99.94%, a precision of 100%, and F1 score of 1 in all evaluated scenarios. Such results highlight the development and adoption of uniform evaluation criteria to ensure the effectiveness and reliability of C-NIDS.
保护跨多个物联网域的数千台智能设备需要强大的协作安全解决方案,例如协同网络入侵检测系统(C-NIDS)。在这种情况下,NIDS之间的协作通过共享有关本地威胁的信息来改进入侵检测。然而,目前大多数解决方案忽略了这些系统的可靠性和鲁棒性评估,特别是当我们考虑C-NIDS时。因此,缺乏标准化和强大的评估来衡量C-NIDS在攻击检测中的可靠性和准确性,导致其正确识别威胁的能力存在重大不确定性。在本文中,我们提出了一种协作式入侵检测系统的评估,该系统集成了独立的入侵检测系统,以共享有关检测到的和减轻的威胁的信息,从而改进了整体入侵检测。评估在虚拟物联网环境中进行,结果表明,协作NIDS检测DDoS攻击的准确率至少为99.94%,最低召回率为99.94%,准确率为100%,在所有评估场景中F1得分为1。这些结果强调了统一评价标准的制定和采用,以确保C-NIDS的有效性和可靠性。
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引用次数: 0
Compact Ultra-Wide-Stopband Microwave Bandpass Filter with Multiple Transmission Zeros by Integrating an L-Shaped Bandpass Filter and a Stepped Impedance Lowpass Filter 集成l型带通滤波器和阶跃阻抗低通滤波器的紧凑超宽阻带微波带通滤波器
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-04-22 DOI: 10.1109/TLA.2025.10974366
Ramkumar S;Anitha M;Boopathi Rani R;Muthuramya C
A compact ultra-wide-stopband microwave bandpass filter is introduced in this work using an L-shaped quarter-wavelength resonator and stepped impedance resonators. The bandpass filter (BPF-I) is designed at 2.1 GHz (f) using an L-shaped quarter-wavelength line. The lowpass filter is developed at 4 GHz using stepped impedance resonators. The introduced ultra-wide-stopband filter is created through integrating the BPF-I and the lowpass filter. Filter size reduction is achieved through the L-shaped quarter-wavelength line, while the ultra-wide-stopband is attained through the stepped impedance resonators. The mathematical analysis of the introduced ultra-wide-stopband bandpass filter is conducted through the extraction of ABCD and S-parameters. The lumped elements equivalent circuits are realized for the introduced filter, and their S-parameters are plotted. The introduced filter is fabricated on an FR4 substrate, and its S-parameters are measured. The comparison of mathematical analysis, EM simulated, circuit simulated, and measured results, showing good agreement. Measurements show a 140.4% fractional bandwidth (FBW), better than 20 dB return loss, higher than 28 dB rejection up to 30 GHz (14.3f) in the out-of-band with many transmission zeros, and 0.8 dB insertion loss. 0.23g x 0.37g is the overall dimension of the introduced filter.
采用l型四分之一波长谐振器和阶跃阻抗谐振器设计了一种紧凑的超宽阻带微波带通滤波器。带通滤波器(BPF-I)采用l型四分之一波长线设计为2.1 GHz (f)。低通滤波器是在4 GHz使用阶跃阻抗谐振器开发的。所介绍的超宽阻带滤波器是通过集成BPF-I和低通滤波器创建的。通过l型四分之一波长线实现滤波器尺寸减小,而通过阶跃阻抗谐振器实现超宽阻带。通过ABCD和s参数的提取,对所引入的超宽阻带带通滤波器进行了数学分析。对所引入的滤波器实现了集总元件等效电路,并绘制了其s参数。在FR4衬底上制作了该滤波器,并对其s参数进行了测量。数学分析、电磁仿真、电路仿真与实测结果进行了比较,结果吻合较好。测量结果表明,该系统的分数带宽(FBW)为140.4%,回波损耗优于20db,在具有多个传输零的带外(14.3f)频率下高于28db抑制,插入损耗为0.8 dB。0.23g x 0.37g为所引入滤波器的整体尺寸。
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引用次数: 0
An Aggregator-Based Market Modelling with an Impact of Risk Under Uncertainty 基于聚合器的市场建模与不确定性下的风险影响
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2025-04-22 DOI: 10.1109/TLA.2025.10974375
Pavani Thallapally;Debasmita Panda
In the Electricity market the increased penetration of renewable energy sources (RES) and associated uncertainties impose challenges to determine the day-ahead distribution locational market prices effectively and also these uncertainties can jeopardize grid stability and reliability. RES aggregators compete to increase their profit but their intermittent nature adds financial risks to aggregators (As). The main objective of this paper is to model a day-ahead electricity market by considering RES aggregators as participants to trade energy effectively to maintain a dynamic energy balance. Instead of relying on existing probabilistic forecast methods to account for the variable uncertain nature of RES, this paper uses a novel data-driven forecasting method to predict variable RES power generation accurately. The proposed model follows a three stage approach. The first stage involves forecasting PV and wind output power with multiple scenarios. In the second stage, a scenario-based multi-aggregator market modelling is performed where aggregators submit their bids to the distribution network operator, who then clears the market by generating price signals. Uncertainties of RES aggregators lead to financial risk for aggregators. Hence, the third stage involves, risk assessment using value at risk (VaR) and conditional value at risk (CVaR) are applied to different scenarios for evaluating the potential portfolio losses within a specified time horizon and confidence level. To evaluate the effectiveness of the proposed model, it is tested on a modified 33-bus test system which shows effective energy trading at a distribution system with a considerable marginal range of voltage violations. The proposed novel three-stage model aims to improve the distribution level electricity markets efficiency and reliability, benefiting RES market participants and consumers alike.
在电力市场中,可再生能源(RES)的日益普及及其相关的不确定性给有效确定日前配电位置市场价格带来了挑战,这些不确定性也会危及电网的稳定性和可靠性。RES聚合商竞相增加利润,但它们的间歇性给聚合商(As)增加了财务风险。本文的主要目标是通过考虑可再生能源聚合商作为参与者来有效地进行能源交易以维持动态能源平衡,从而建立一个日前电力市场模型。本文采用一种新颖的数据驱动预测方法来准确预测可变可再生能源发电量,而不是依靠现有的概率预测方法来考虑可再生能源的可变不确定性。所提出的模型遵循三个阶段的方法。第一阶段包括预测多种场景下的光伏和风电输出功率。在第二阶段,执行基于场景的多聚合器市场建模,其中聚合器将其投标提交给分销网络运营商,然后分销网络运营商通过生成价格信号来清除市场。RES聚合体的不确定性导致了聚合体的财务风险。因此,第三阶段涉及使用风险价值(VaR)和条件风险价值(CVaR)对不同情景进行风险评估,以评估特定时间范围和置信水平内的潜在投资组合损失。为了评估所提出的模型的有效性,在一个改进的33总线测试系统上进行了测试,该测试系统显示了具有相当大的电压违规边际范围的配电系统的有效能源交易。提出的新型三阶段模型旨在提高配电水平的电力市场效率和可靠性,使可再生能源市场参与者和消费者都受益。
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引用次数: 0
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IEEE Latin America Transactions
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