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Advancements and applications of wind tunnel testing in aerial vehicle development: A state-of-the-art overview 风洞试验在飞行器研制中的进展和应用:最新概况
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-12-06 DOI: 10.1016/j.jestch.2025.102244
Durjoy Kumar Paul , Hasan Muhommod Robin , Nishitha Paul , Mim Mashrur Ahmed , Mahadi Hasan Masud
Wind tunnel testing of aerial vehicles is a crucial step prior to the commercialization of vehicles. This paper focuses on an overview of common wind tunnel testing methods for various aerial vehicles with detailed specifications and flow conditions inside the wind tunnels. This work begins with the classification of wind tunnels and overviewing their evolution over the years. Later, wind tunnel specifications for testing scaled-down models of aerial vehicles and commercial models were discussed, along with the associated challenges and limitations. Literature reveals that challenges associated with the scaling of aerial vehicles, as well as cost, time, and technological limitations, need to be addressed to increase the accuracy of the wind tunnel testing. Lastly, this work summarizes the key specifications of the wind tunnels individually for different types of aerial vehicles, which will be beneficial for the researchers while selecting the suitable wind tunnel with desired specifications for particular applications.
飞行器的风洞试验是飞行器商业化前的关键一步。本文重点概述了各种飞行器常用的风洞试验方法,并详细介绍了风洞内的流动情况和试验规范。这项工作从风洞的分类开始,并回顾了它们多年来的演变。随后,讨论了用于测试飞行器和商业模型的缩小模型的风洞规范,以及相关的挑战和限制。文献显示,为了提高风洞测试的准确性,需要解决与飞行器规模、成本、时间和技术限制相关的挑战。最后,总结了不同类型飞行器风洞的关键规格,有助于研究人员根据具体应用选择合适的风洞。
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引用次数: 0
Coordinated dual-mode inverter control with NF–ROCOF-based islanding detection for enhanced power quality and seamless transition in DC–AC hybrid microgrids 基于nf - rocof孤岛检测的协调双模逆变器控制,以提高直流-交流混合微电网的电能质量和无缝过渡
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-08 DOI: 10.1016/j.jestch.2025.102229
Buddhadeva Sahoo , Mohit Bajaj , Vojtech Blazek , Lukas Prokop
This article describes a unified DC-AC microgrid system based on photovoltaic PV batteries that offers coordinated parallel inverter operation in both grid-following and autonomous modes of operation. The developed system is intended to transition seamlessly between these operating modes to create the required enhancement in power quality PQ, reactive power support, utility needs, and local load demand. A dual-controller strategy is employed to allow realization of these features. In the grid-following mode, dual-tree complex wavelet transform (2TCWT) is coupled with DC-link voltage regulation and maximum power-based current control for properly executing real and reactive power operation. A synchronous reference frame SRF-based voltage control scheme is utilized to guarantee steady operation and voltage regulation among parallel inverters in the autonomous mode. On the other hand, to ensure the gridded performance and reliable operation, a hybrid islanding detection (HID) method is applied. The system combines a robust notch filter (NF) and a rate of change of frequency (ROCOF)-based phase-locked loop PLL which have good performance in grid monitoring, fast disturbance recognition, and resynchronization. The proposed HID method is in accordance with IEEE 2030.7 standards, thereby ensuring compliance with practical implementation requirements. The performance of the proposed unified microgrid architecture is validated by performing detailed simulation studies and experimental evaluation on the PV battery in a lab-scale prototype. Various operating scenarios, including grid-connected, islanded, and transition conditions were tested to prove the robustness of the design. The results confirm that coordinated parallel inverter operation improves power quality and reactive power support while guaranteeing seamless resynchronization and reliable autonomous operation. The extensive software-hardware validation reinforces the proof of concept and demonstrates the ready applicability of the DC-AC unified microgrid system toward future resilient energy networks.
本文描述了一种基于光伏电池的统一直流-交流微电网系统,该系统在电网跟随和自主运行模式下提供协调并联逆变器运行。开发的系统旨在在这些运行模式之间无缝转换,以创建所需的电能质量PQ、无功支持、公用事业需求和本地负载需求的增强。采用双控制器策略来实现这些特性。在电网跟随模式下,将双树复小波变换(2TCWT)与直流链路电压调节和基于最大功率的电流控制相结合,实现了系统的实功和无功运行。采用同步参考系srf电压控制方案,保证并联逆变器在自主模式下的稳定运行和电压调节。另一方面,为了保证网格性能和可靠运行,采用了混合孤岛检测(HID)方法。该系统结合了鲁棒陷波滤波器(NF)和基于频率变化率(ROCOF)的锁相环锁相环,具有良好的电网监测、快速干扰识别和再同步性能。提出的HID方法符合IEEE 2030.7标准,确保符合实际实施要求。通过在实验室规模的原型光伏电池上进行详细的仿真研究和实验评估,验证了所提出的统一微电网架构的性能。测试了各种操作场景,包括并网、孤岛和过渡条件,以证明设计的鲁棒性。结果表明,并联逆变器协调运行在保证无功再同步和可靠自主运行的同时,提高了电能质量和无功支持。广泛的软硬件验证加强了概念的验证,并证明了DC-AC统一微电网系统对未来弹性能源网络的适用性。
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引用次数: 0
Computational and experimental investigation of lower-surface dimple effects on NACA 0015 airfoil aerodynamics 下表面凹陷效应对NACA 0015翼型气动性能的计算与实验研究
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-10 DOI: 10.1016/j.jestch.2025.102228
Touhid Ahmed Orvi , Ismail Hossain , Mumit Hassan
Aerodynamic efficiency is fundamentally limited by flow separation at moderate angles of attack, where boundary layer detachment precipitates lift degradation and drag augmentation. In response to growing energy imperatives, this investigation advances passive flow control methodologies through systematic analysis of surface-modified symmetrical airfoils. This study examines a modified NACA 0015 airfoil incorporating indentations at five discrete chordwise positions along the lower surface. Through ANSYS CFD simulations employing the k-ω SST turbulence model, this work systematically evaluates aerodynamic performance variations of lower surface dimple modified airfoil across multiple angles of attack and chordwise locations. Results reveal that strategically positioned dimples profoundly influence aerodynamic efficiency, with 70 % chord position yielding 13.5 % greater lift-to-drag ratio at 7° AoA. While trailing-edge dimples (90 % chord) improve high-angle performance (7.25 % L/D increase at 10° AoA), this benefit is offset by 16.86 % degradation at 4° AoA. The optimal lift-to-drag ratio for 70 % chord length at 7° AoA is attributed to delayed flow separation, corroborated by static pressure contour analysis. Experimental validation via wind tunnel testing at 3 m/s further substantiates these computational finding. This study contributes to the rather underexplored arena of the lower surface modified dimples providing systematic evidence that these modifications can concurrently enhance lift and mitigate drag. The findings consolidate dimple engineering as a viable zero-energy solution for separation control.
在中等迎角下,气流分离从根本上限制了气动效率,边界层脱离会导致升力下降和阻力增加。为了应对日益增长的能源需求,本研究通过对表面修饰对称翼型的系统分析,推进了被动流动控制方法。本研究考察了一个修改的NACA 0015翼型合并在五个离散的沿下表面的弦向位置压痕。本文采用k-ω SST湍流模型,通过ANSYS CFD模拟,系统评估了下表面凹陷型翼型在不同迎角和弦向位置上的气动性能变化。结果表明,在7°AoA时,70%的弦位可使升阻比提高13.5%。虽然后缘凹窝(90%弦)提高了大角度性能(在10°AoA时L/D增加7.25%),但在4°AoA时,这种好处被16.86%的下降所抵消。在7°AoA处,70%弦长时的最佳升阻比归因于延迟流动分离,静压轮廓分析证实了这一点。以3米/秒速度进行的风洞试验验证进一步证实了这些计算结果。这项研究为较低表面修饰的凹陷提供了系统的证据,证明这些修饰可以同时增强升力和减轻阻力。这些发现巩固了韧窝工程作为一种可行的零能量分离控制解决方案。
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引用次数: 0
A road map of 3D entropy generated rotating hybrid nanoliquid flow with nonlinear thermal radiation 具有非线性热辐射的旋转混合纳米流体三维熵路径图
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-10-25 DOI: 10.1016/j.jestch.2025.102209
Aqsa Razzaq , T. Hayat , Sajjad Shaukat Jamal , Sohail A. Khan , Aneeta Razaq
Nanotechnology has significant applications in various fields like nuclear reactor, paper production, metal spinning, heat transport and storage devices, power generation, renewable energy and many others. Hybrid nanomaterial in comparison to classical nanoliquid is impressive to enhance thermal transport rate. Hybrid nanoliquid has significant role in various applications using their innovative characteristics to develop performance, efficiency, functionality and stability in various industrial, engineering and scientific processes. Present communication addresses three-dimensional magnetohydrodynamic (MHD) flow of hybrid nanofluid in rotating frame. Flow is constructed to scrutinize thermal transport characteristics of hybrid nanoliquid and nanoliquid. Here manganese nickel zinc ferrite and zinc ferrite are employed as the nanoparticles. Engine oil is used as conventional liquid. Non-linear thermal radiation and non-uniform heat source/sink features are discussed. Thermal expression consists of non-uniform heat source/sink, magnetohydrodynamics and non-linear radiation. Entropy generation rate in presence of non-uniform heat source/sink is discussed. Related non-linear expressions of proposed model are converted into dimensionless systems through adequate transformations. Resultant non-linear ordinary systems are computed for numerical solutions through utilizing ND-solve technique. Graphical features for velocity, rate of entropy and temperature for influential variables regarding both nanoliquid and hybrid nanoliquid are analyzed. Outcomes of quantities against pertinent variables for both fluids are graphically analyzed. Larger magnetic field leads to rise the entropy rate and thermal field, whereas decreasing impact for velocity is witnessed. Larger approximation of radiation intensify Nusselt number and entropy rate. Revers impact for Nusselt number and temperature through non-uniform heat source variable is witnessed. Here one can conclude that thermal transport rate and temperature distribution for hybrid nanoliquid is higher when compared with nanoliquid. Drag force coefficient of hybrid nanoliquid is more dominant than nanoliquid.
纳米技术在核反应堆、造纸、金属纺丝、热传输和存储设备、发电、可再生能源等许多领域都有重要的应用。与传统纳米液体相比,杂化纳米液体在提高热输运率方面表现突出。混合纳米液体利用其创新特性在各种工业、工程和科学过程中开发性能、效率、功能和稳定性,在各种应用中发挥着重要作用。本文讨论了混合纳米流体在旋转框架中的三维磁流体动力学(MHD)流动。建立了流动模型,考察了混合纳米液体和纳米液体的热输运特性。本文采用锰镍锌铁氧体和锌铁氧体作为纳米颗粒。发动机油作为常规液体使用。讨论了非线性热辐射和非均匀热源/汇特征。热表达式包括非均匀热源/热源、磁流体力学和非线性辐射。讨论了非均匀热源/热源存在时的熵产率。通过适当的变换,将模型的相关非线性表达式转化为无量纲系统。利用nd -解技术,计算了所得非线性普通系统的数值解。分析了纳米液体和杂化纳米液体的速度、熵率和温度等影响变量的图形特征。对两种流体的相关变量的数量结果进行了图形化分析。磁场增大导致熵率和热场增大,而对速度的影响减小。更大的近似辐射增强努塞尔数和熵率。研究了非均匀热源变量对努塞尔数和温度的影响。由此可见,混合纳米液体的热输运率和温度分布高于纳米液体。混合纳米液体的阻力系数比纳米液体更占优势。
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引用次数: 0
MRAN-VQA: Multimodal Recursive Attention Network for Visual Question Answering MRAN-VQA:视觉问答的多模态递归注意网络
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-26 DOI: 10.1016/j.jestch.2025.102232
Mohammad Shariful Islam , Mohammad Abu Tareq Rony , Md Murad Hossain Sarker , Md. Khairul Bashar Bhuiyan , Md Saib , Md. Aktarujjaman , Md Shahab Uddin , Abeer D. Algarni , Ahmad Taher Azar , Walid El-Shafai
Visual Question Answering (VQA) is a fundamental challenge in multimodal AI, requiring models to integrate and reason over both visual and textual information. Despite advancements in deep learning, existing VQA models struggle with multi-step reasoning, hierarchical feature fusion, and multilingual generalization, limiting their effectiveness in real-world applications. This paper introduces MRAN-VQA, a Multimodal Recursive Attention Network for VQA, designed to address these limitations through a three-stage reasoning pipeline. The proposed approach first employs Recursive Attention Encoding, where a Vision Transformer (ViT) extracts visual features, and BERT-based embeddings encode textual information. A recursive self-attention mechanism iteratively refines these representations, improving contextual alignment. Hierarchical Feature Fusion integrates multi-level visual–text interactions through bilinear attention pooling and gated cross-modal operations. Finally, Answer Prediction with Attention Grounding applies a self-attentive reasoning module to responses while optimizing an Attention Grounding Score (AGS) for improved interpretability. Experiments on VQA v2.0, CLEVR, and our custom BanglaVQA datasets demonstrate that MRAN-VQA outperforms state-of-the-art models, achieving 75.6% accuracy on VQA v2.0, 96.1% on CLEVR, and 72% on BanglaVQA—notably surpassing transformer-based baselines. The model exhibits superior multi-step reasoning capabilities in compositional queries and significantly enhances performance in low-resource multilingual settings.
视觉问答(VQA)是多模态人工智能的一个基本挑战,它要求模型对视觉和文本信息进行整合和推理。尽管深度学习取得了进步,但现有的VQA模型在多步推理、分层特征融合和多语言泛化方面存在困难,限制了它们在实际应用中的有效性。本文介绍了MRAN-VQA,一种用于VQA的多模态递归注意力网络,旨在通过三阶段推理管道解决这些限制。该方法首先采用递归注意编码,其中视觉转换器(ViT)提取视觉特征,基于bert的嵌入编码文本信息。递归的自注意机制迭代地细化这些表示,提高上下文一致性。分层特征融合通过双线性注意力池和门控跨模态操作集成了多层次的视觉-文本交互。最后,基于注意基础的答案预测在优化注意基础分数(AGS)以提高可解释性的同时,对答案应用自关注推理模块。在VQA v2.0、CLEVR和我们定制的BanglaVQA数据集上的实验表明,MRAN-VQA优于最先进的模型,在VQA v2.0上达到75.6%的准确率,在CLEVR上达到96.1%,在BanglaVQA上达到72%——明显超过了基于变压器的基线。该模型在组合查询中表现出优越的多步推理能力,并显著提高了低资源多语言设置的性能。
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引用次数: 0
Low-light image enhancement using autoencoder-based histogram matching 使用基于自编码器的直方图匹配的微光图像增强
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-29 DOI: 10.1016/j.jestch.2025.102236
Serdar Çiftçi
Low-light image enhancement (LLIE) is a fundamental preprocessing task in computer vision which is essential for enhancing the quality and visibility of images that are captured under poor illumination. Traditional LLIE methods have lower computational costs but often lack to maintain natural tone distributions. In contrast, deep learning-based LLIE methods produce high-quality results at the cost of complex computations and significant training resources. This study introduces Autoencoder-Based Histogram Matching (AEHM), a hybrid LLIE framework that combines the effectiveness of the conventional histogram matching method with the representational capability of autoencoders. In AEHM, a pre-trained autoencoder predicts an optimal reference histogram from the low-light input image histogram, which is then used to perform histogram matching. Experiments conducted on multiple benchmark datasets demonstrate that AEHM outperforms traditional methods and delivers performance comparable to deep learning-based methods, while operating at a fraction of their computational costs, as measured by FLOPs. In particular, AEHM yields average improvements of about 2–3.5 dB in PSNR and 8%–12% in SSIM, together with a 30%–45% reduction in LPIPS, demonstrating its effectiveness in enhancing visual quality while preserving structural and perceptual fidelity.
弱光图像增强(LLIE)是计算机视觉中的一项基本预处理任务,对于提高在弱光条件下捕获的图像的质量和可见性至关重要。传统的LLIE方法计算成本较低,但往往不能保持自然的音调分布。相比之下,基于深度学习的LLIE方法以复杂的计算和大量的训练资源为代价产生高质量的结果。本研究引入了基于自编码器的直方图匹配(AEHM),这是一种混合LLIE框架,将传统直方图匹配方法的有效性与自编码器的表示能力相结合。在AEHM中,预训练的自编码器从低光输入图像直方图中预测最佳参考直方图,然后使用该直方图进行直方图匹配。在多个基准数据集上进行的实验表明,AEHM优于传统方法,其性能可与基于深度学习的方法相媲美,而计算成本(以FLOPs衡量)仅为传统方法的一小部分。特别是,AEHM的PSNR平均提高了2-3.5 dB, SSIM平均提高了8%-12%,LPIPS平均降低了30%-45%,证明了其在保持结构和感知保真度的同时提高视觉质量的有效性。
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引用次数: 0
Ultra-wideband EMP-shielded glass windows using metal mesh films for civilian and military infrastructure 民用和军用基础设施用金属网薄膜的超宽带电磁屏蔽玻璃窗
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-24 DOI: 10.1016/j.jestch.2025.102235
Dat Tien Nguyen , Keunsik No , Chang Won Jung
A hybrid window structure integrated with metal mesh films (MMFs) is proposed for electromagnetic pulse (EMP) protection in both civilian and military applications. The structure operates over an ultra-wide frequency range from 0.18 to 18 GHz. To the best of our knowledge, research on EMP-shielding windows remains limited in terms of frequency coverage, shielding effectiveness (SE), and optical transparency (OT), with most studies focusing on electromagnetic interference (EMI) shielding windows that achieve SE < 80 dB. This work presents four EMP shielding window configurations, each achieving SE > 80 dB and incorporating, for the first time, an asymmetric hexagonal mesh design. The metal mesh, deposited on a transparent dielectric substrate, exhibits OT of 75.5 % and a sheet resistance of 0.1 Ω/□. Compared to conventional square and symmetric hexagonal meshes, the asymmetric mesh improves SE by up to 4.7 dB at 10 GHz, with only a slight reduction in OT of about 3 %, demonstrating a superior balance between electromagnetic performance and transparency. Four window configurations are examined through both simulation and measurement, with square meshes from our previous work included for comparison. For civilian applications, double-pane glass with two MMF layers achieves average SE above 60 dB while maintaining OT over 40 %. For military applications, three-layer structures reach SE up to 90 dB with OT above 30 %. These results confirm that the proposed configurations provide broadband EMP shielding with sufficient transparency, offering a practical and scalable solution for EMP SE windows.
提出了一种结合金属网膜(MMFs)的混合窗口结构,用于民用和军用电磁脉冲防护。该结构在0.18至18 GHz的超宽频率范围内工作。据我们所知,对电磁屏蔽窗口的研究在频率覆盖、屏蔽效能(SE)和光透明度(OT)方面仍然有限,大多数研究集中在SE达到80 dB的电磁干扰(EMI)屏蔽窗口上。这项工作提出了四种EMP屏蔽窗口配置,每种配置均达到SE >; 80 dB,并首次采用非对称六边形网格设计。该金属网沉积在透明介质基板上,OT为75.5%,片电阻为0.1 Ω/□。与传统的方形和对称六角形网格相比,非对称网格在10 GHz时将SE提高了4.7 dB,而OT仅略微降低了约3%,证明了电磁性能和透明度之间的卓越平衡。通过模拟和测量检查了四种窗口配置,其中包括我们以前工作中的方形网格进行比较。对于民用应用,两层MMF双层玻璃的平均SE高于60 dB,同时OT保持在40%以上。对于军事应用,三层结构的SE高达90 dB, OT高于30%。这些结果证实,所提出的配置提供了宽带EMP屏蔽,具有足够的透明度,为EMP SE窗口提供了实用且可扩展的解决方案。
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引用次数: 0
Experimental and modeled response of hydraulic motors under pulsating flow 脉动流量下液压马达响应的实验与建模
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-11-17 DOI: 10.1016/j.jestch.2025.102234
Osama A. Gaheen , M.A. Aziz , Ernesto Benini , Mostafa E.A. Elsayed , Mostafa R. Rashed , Haitham Elshimy
This study investigates the dynamic response and performance of a hydraulic motor operating under controlled pulsating flow conditions. An experimental setup was developed incorporating a variable frequency pulse generator within an electro-hydraulic control circuit. Tests were conducted at inlet pressures of 20, 40, and 60 bar and pulsation frequencies of 2, 4, and 6 Hz. The results revealed that increasing flow pulsation frequency from 0 to 6 Hz significantly enhanced motor performance. At 60 bar, the motor speed increased from 71 RPM at 2 Hz to 114 RPM at 6 Hz, while torque rose from 6.11 kNm to 7.07 kNm. Similarly, increasing inlet pressure from 20 to 60 bar at 6 Hz improved speed from 67 to 114 RPM and torque from 3.65 to 7.07 kNm. At lower operating conditions (20 bar and 2 Hz), speed and pressure decreased by 60.74 % and 15 %, respectively, confirming the high sensitivity of motor output to pulsation parameters. Simulation results using Automation Studio closely matched the experimental findings, particularly at moderate frequencies and pressures with less than 4 % error. The developed empirical correlations accurately predicted motor speed and torque, with maximum deviations of ±10.49 %. The results demonstrate that controlling pulsation frequency provides an effective means of optimizing hydraulic motor performance, enhancing energy efficiency, and enabling dynamic regulation of speed and torque.
研究了液压马达在可控脉动工况下的动态响应和性能。在电液控制回路中加入变频脉冲发生器,建立了实验装置。试验在进口压力为20、40和60 bar,脉动频率为2、4和6 Hz的情况下进行。结果表明,将流量脉动频率从0增加到6 Hz可显著提高电机性能。在60 bar时,电机转速从2hz时的71 RPM增加到6hz时的114 RPM,扭矩从6.11 kNm增加到7.07 kNm。同样,在6赫兹下,将进口压力从20 bar增加到60 bar,速度从67 RPM提高到114 RPM,扭矩从3.65 kn提高到7.07 kn。在较低的工作条件下(20 bar和2 Hz),速度和压力分别下降了60.74%和15%,证实了电机输出对脉动参数的高灵敏度。使用Automation Studio的仿真结果与实验结果非常吻合,特别是在中等频率和压力下,误差小于4%。所建立的经验相关性能准确预测电机转速和转矩,最大偏差为±10.49%。结果表明,控制脉动频率是优化液压马达性能、提高能效、实现转速和转矩动态调节的有效手段。
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引用次数: 0
Epileptic seizure prediction with deep learning-based fusion methods 基于深度学习的融合方法预测癫痫发作
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.jestch.2025.102212
Atakan Daşdemir, Humar Kahramanlı Örnek
Accurate prediction of epileptic seizures is important for patient safety and quality of life. This study aims to provide a fair, protocol-controlled comparison of two fusion strategies for EEG-based seizure prediction and to quantify their practical trade-offs. The decision-level pipeline combines posterior probabilities from two independently trained branches: a raw-EEG TCN → GRU with temporal attention model and an STFT-based 2D-CNN → GRU with temporal attention model. Fusion uses a simple calibrated type-2 rule tuned on validation data, and operating thresholds are set by Youden’s J. The feature-level pipeline uses the same two encoders—raw-EEG TCN → GRU and STFT-based 2D-CNN → GRU with temporal attention—to extract embeddings, which are then merged by a lightweight learnable fusion block before the final classifier. All networks are trained from scratch. Evaluation is conducted on the CHB-MIT dataset with stratified 5-fold cross-validation, reporting class-imbalance–robust metrics (PR-AUC and sensitivity at 5 % false-positive rate) in addition to ROC-AUC. The decision-level model attains accuracy 97.50 %, sensitivity 96.86 %, precision 97.57 %, F1 97.33 %, specificity 97.43 %, and AUC 0.99, with PR-AUC 0.994 and Sens@5%FPR 0.967. The feature-level model achieves accuracy 97.70 %, sensitivity 96.64 %, precision 98.47 %, F1 97.44 %, specificity 98.62 %, and AUC 0.99, with PR-AUC 0.995 and Sens@5%FPR 0.986. Post-hoc temperature scaling improved probability calibration (e.g., NLL from 0.089 → 0.083 at decision-level and 0.077 → 0.067 at feature-level) without affecting discrimination. An ablation with non-linear descriptors (Higuchi fractal dimension and fuzzy entropy) yielded modest average gains with added computational cost. These results delineate the conditions under which late posterior fusion versus early representational fusion is preferable and indicate that calibrated fusion improves robustness under realistic class imbalance.
准确预测癫痫发作对患者安全和生活质量至关重要。本研究旨在对两种基于脑电图的癫痫发作预测融合策略进行公平、协议控制的比较,并量化它们的实际权衡。决策级管道结合了两个独立训练分支的后验概率:原始eeg TCN→GRU时间注意模型和基于stft的2D-CNN→GRU时间注意模型。融合使用在验证数据上调整的简单校准的type-2规则,操作阈值由Youden 's J.设置。特征级管道使用相同的两个编码器- raw- eeg TCN→GRU和基于stft的2D-CNN→GRU(带时间注意)-提取嵌入,然后在最终分类器之前由轻量级可学习融合块合并。所有的网络都是从头开始训练的。在CHB-MIT数据集上进行评估,采用分层5倍交叉验证,除了ROC-AUC外,还报告了类别不平衡稳健指标(PR-AUC和5%假阳性率的敏感性)。决策级模型准确率97.50%,灵敏度96.86%,精密度97.57%,F1 97.33%,特异度97.43%,AUC 0.99, PR-AUC 0.994, Sens@5%FPR 0.967。特征级模型准确率97.70%,灵敏度96.64%,精密度98.47%,F1 97.44%,特异性98.62%,AUC 0.99,其中PR-AUC 0.995, Sens@5%FPR 0.986。事后温度缩放改进了概率校准(例如,NLL在决策级从0.089→0.083,在特征级从0.077→0.067),而不影响判别。非线性描述符(Higuchi分形维数和模糊熵)的消除产生了适度的平均增益,但增加了计算成本。这些结果描述了晚期后路融合比早期代表性融合更可取的条件,并表明校准融合可以提高现实类失衡下的稳健性。
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引用次数: 0
Trajectory tracking control design for quadcopter based on optimized integral super-twisting sliding mode technique 基于优化积分超扭滑模技术的四轴飞行器轨迹跟踪控制设计
IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 Epub Date: 2025-10-31 DOI: 10.1016/j.jestch.2025.102222
Muhammad Rizwan Chughtai , Muhammad Latif Anjum , Iftikhar Ahmad , Muddesar Iqbal , Dhafer Almakhles , Mahmoud Abdelrahim
This paper is concerned with the design of trajectory tracking control techniques for quadcopters. An optimized control law, specifically a PID-based integral super-twisting sliding mode control, is proposed to achieve precise tracking of attitude, heading, position, and altitude. A nonlinear dynamic model of the quadcopter, accounting for gyroscopic moments and aerodynamic forces, is formulated using the Euler–Lagrange method. To enhance performance, genetic algorithm is employed to optimize the controller gains. The stability analysis is then carried out using Lyapunov function candidates. The effectiveness of the proposed method is evaluated through numerical simulations of the drone model based on various performance metrics for a 3D-helical trajectory. The simulation results demonstrate that the proposed approach outperforms existing techniques and achieves improved trajectory tracking accuracy. The controller is further validated using controller-in-the-loop testing, demonstrating its effectiveness in practical scenarios.
本文研究了四轴飞行器轨迹跟踪控制技术的设计。提出了一种优化控制律,即基于pid的积分超扭滑模控制,以实现姿态、航向、位置和高度的精确跟踪。利用欧拉-拉格朗日方法建立了考虑陀螺力矩和气动力的四轴飞行器非线性动力学模型。为了提高性能,采用遗传算法优化控制器增益。然后使用Lyapunov候选函数进行稳定性分析。基于三维螺旋轨迹的各种性能指标,通过无人机模型的数值模拟来评估所提出方法的有效性。仿真结果表明,该方法优于现有技术,实现了更高的轨迹跟踪精度。通过控制器在环测试进一步验证了该控制器在实际场景中的有效性。
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Engineering Science and Technology-An International Journal-Jestech
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