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Circular aperture antenna with spherical lens for mmWave radar level meter 毫米波雷达液位计用球面透镜圆孔径天线
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-10 DOI: 10.1016/j.asej.2025.103949
Jae-Ho Lee , Kyoung-Sub Oh , Dong-Wook Seo
This paper proposes a novel design for a circular aperture antenna using a spherical lens and absorbing material to achieve narrow beamwidth and low side lobe level (SLL) for mmWave radar level meter (RLM) applications. The proposed circular aperture antenna consists of a circular cylinder, a single medium spherical lens, a circular radiator, and a broadside-coupled stripline (BCS) feeding structure. The quadrature hybrid with the BCS structure provides 90-degree phase difference signals to the circular radiator, which is uniformly distributed across a short-distance aperture through the spherical lens, resulting in a narrowly radiating beam. The primary challenges addressed by this design include achieving narrow beamwidth (HPBW < 8°), low sidelobe level (SLL < 38 dBc at angles > 60°), and compact form factor (length < 20λ) simultaneously with cost-effective manufacturing. The most notable feature of the proposed antenna is its short length (14.5λ), made possible by using an inexpensive single-medium spherical lens, compared to the existing RLM antennas that are much longer. The developed antenna achieved a half-power beamwidth of 6.5 degrees and an SLL of −50 dBc or less above 60 degrees, confirming that the proposed circular aperture antenna is suitable for the mmWave RLM.
为实现毫米波雷达液位计(RLM)应用中的窄波束宽度和低旁瓣电平(SLL),提出了一种采用球面透镜和吸收材料的圆孔径天线的新设计。所提出的圆孔径天线由一个圆柱体、一个单介质球面透镜、一个圆形辐射体和一个宽频耦合带状线馈电结构组成。具有BCS结构的正交混合光束向圆形散热器提供90度相位差信号,该信号通过球面透镜均匀分布在短距离孔径上,形成窄辐射光束。该设计解决的主要挑战包括实现窄波束宽度(HPBW < 8°)、低副瓣电平(SLL < 38 dBc,角度>; 60°)和紧凑的外形尺寸(长度<; 20λ),同时具有成本效益。与现有的RLM天线相比,该天线最显著的特点是它的长度很短(14.5λ),这是通过使用廉价的单介质球面透镜实现的。该天线的半功率波束宽度为6.5度,60度以上的SLL为- 50 dBc或更小,证实了所提出的圆孔径天线适用于毫米波RLM。
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引用次数: 0
Distribution characteristics and theoretical prediction of ground settlements caused by multiple undercrossing excavations beneath existing underground structures 既有地下构筑物下多次隧道开挖引起的地面沉降分布特征及理论预测
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-08 DOI: 10.1016/j.asej.2025.103971
Qiang Xu , Shengxiang Lei , Yongquan Zhu , Wei Zhao , Dapeng Wang , Yan Gao
With the increasing density of underground structures in urban areas, repeated undercrossing excavations have become common, often leading to cumulative disturbance and asymmetric ground settlement. Traditional stochastic medium theory treats sequential excavations as independent events and cannot represent disturbance-superposition effects. In this study, scaled model tests were conducted to investigate settlement evolution caused by multiple undercrossing excavations. Based on experimentally identified disturbance characteristics, a corrected stochastic medium model was developed by introducing a spatially varying disturbance adjustment factor. Numerical simulations and field measurements were used for validation. Results show that disturbance superposition amplifies settlement in overlapping influence zones and shifts the settlement peak toward earlier excavations, producing asymmetric settlement troughs. Compared with conventional superposition methods, the proposed model improves prediction accuracy by more than 20% in representative field cases. The proposed framework provides an experimentally supported, engineering-oriented approach for predicting cumulative settlement under repeated undercrossing.
随着城市地下构筑物密度的增加,重复的下穿隧道开挖成为普遍现象,往往导致累积扰动和地面不对称沉降。传统的随机介质理论将连续开挖视为独立事件,不能表示扰动叠加效应。本文采用比例模型试验研究了多次下穿隧道开挖引起的沉降演化。在实验识别扰动特性的基础上,引入空间变化扰动调整因子,建立了一个修正的随机介质模型。通过数值模拟和现场实测进行了验证。结果表明:扰动叠加放大了重叠影响区的沉降,使沉降峰值向较早的基坑偏移,形成不对称沉降槽;与传统的叠加方法相比,在典型的现场实例中,该模型的预测精度提高了20%以上。该框架提供了一种实验支持的、面向工程的方法来预测重复下穿隧道的累积沉降。
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引用次数: 0
Integrating support vector regression and metaheuristic algorithms for novel prediction in simulating intercity corporation networks 基于支持向量回归和元启发式算法的城际公司网络模拟新预测
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-08 DOI: 10.1016/j.asej.2025.103918
Jingsong Duan , Zaiyi Pu
Intercity corporate networks have an important role in increasing enterprise efficiency and competitiveness. Therefore, they act as an engine for economic development and regional cooperation. The ability to predict and model them appropriately will lay the foundation for decision-making and optimization of the distribution of resources in such a way that effective communication across corporations is ensured. This paper presents an approach to the predictive modeling of a support vector regression to simulate the intercity corporation network. Precise data prediction and transmission across the network are very important for any simulated model to be deployed. Apart from optimization methods, the incorporation of meta-heuristic algorithms elevates the accuracy and speed of the forecast. This research investigates six optimization methods and their hybridization with SVR, with a critical investigation and comparison in terms of statistical performance metrics. It can be observed from the results that both the Manta-Ray Optimizer and Battle Royale Optimizer result in good performances with low error rates and high values of R and R2. In this regard, the Manta-Ray Optimizer is chosen as the final optimizer for the proposed hybrid algorithm since it had an R2 value of 0.9430 in the test data, followed by the Salp Swarm Optimization Algorithm with an R2 value of 0.9410, and the Battle Royale Optimizer with the lowest R2 value of 0.9320 observed for the test data.
城际企业网络对提高企业效率和竞争力具有重要作用。因此,它们是经济发展和区域合作的引擎。适当预测和建模的能力将为决策和优化资源分配奠定基础,从而确保公司之间的有效沟通。本文提出了一种基于支持向量回归的城际企业网络预测建模方法。准确的数据预测和跨网络传输对于任何模拟模型的部署都是非常重要的。除了优化方法外,元启发式算法的结合提高了预测的准确性和速度。本文研究了六种优化方法及其与SVR的融合,并从统计性能指标方面进行了批判性的调查和比较。从结果可以看出,Manta-Ray Optimizer和Battle Royale Optimizer都具有较好的性能,错误率低,R和R2值高。因此,我们选择Manta-Ray Optimizer作为混合算法的最终优化器,因为在测试数据中,Manta-Ray Optimizer的R2值为0.9430,其次是Salp Swarm Optimization algorithm, R2值为0.9410,在测试数据中,Battle Royale Optimizer的R2值最低,为0.9320。
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引用次数: 0
Field study of scour around Bridge piers in the transitional section of the Qiantang River 钱塘江过渡段桥墩周围冲刷的现场研究
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-07 DOI: 10.1016/j.asej.2025.103924
Zongyu Li , Rui Li , Bin Chen
With the rapid development of bridge construction, the safety of bridges under complex hydrological conditions has become an increasingly critical issue. This study investigates the local scour characteristics of bridge piers in the transition section of the Qiantang River, utilizing multi-beam echo sounding (MBES, vertical accuracy:±0.02 m) and high-resolution underwater 3D imaging sonar for data acquisition. The results reveal that the maximum local scour depth reaches 9.3 m, with the scour hole exhibiting an elliptical shape. When pier dimensions are similar, the scour hole width shows a strong correlation with the maximum scour depth, approximately four times the width of the pier cap. In contrast, the scour hole extension along the flow direction exhibits no significant correlation with scour depth but correlates with the pier cap length, approximately twice its dimension. Based on the measured data, the safety of bridge piers in the transition section was evaluated. It was found that the piers PM5-PM6 and PM8-PM10 of Bridge II, as well as the main piers of Bridge III, experienced significant scour depths, posing potential structural risks. The study recommends implementing protective measures for severely scoured piers and establishing long-term monitoring to ensure structural stability. The findings provide valuable insights for scour assessment and protection design of bridges under complex hydrological conditions.
随着桥梁建设的快速发展,复杂水文条件下桥梁的安全问题日益突出。采用多波束回波测深技术(MBES,垂直精度±0.02 m)和高分辨率水下三维成像声纳进行数据采集,研究钱塘江过渡段桥墩局部冲刷特征。结果表明:局部最大冲刷深度为9.3 m,冲刷孔呈椭圆形;当桥墩尺寸相似时,冲刷孔宽度与最大冲刷深度有较强的相关性,约为桥墩宽度的4倍。相反,沿流动方向的冲刷孔扩展与冲刷深度无显著相关性,但与桥墩长度相关,约为桥墩长度的2倍。根据实测数据,对过渡段桥墩的安全性进行了评价。2号桥PM5-PM6、PM8-PM10桥墩及3号桥主桥墩冲刷深度较大,存在潜在结构风险。研究建议对严重冲刷的桥墩实施保护措施,并建立长期监测机制,以确保结构稳定。研究结果为复杂水文条件下桥梁冲刷评估和防护设计提供了有价值的见解。
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引用次数: 0
Incremental parameterized-kernel fractional operators: theory, novel Banach spaces, and machine learning applications 增量参数化核分数算子:理论,新颖的巴拿赫空间,和机器学习应用
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-07 DOI: 10.1016/j.asej.2025.103972
Tahir Ullah Khan , Christine Markarian
This paper presents a new class of Incremental Parameterized–Kernel (IPK) fractional derivative and integral operators that improve modeling of complex dynamical systems. Two specially constructed increment-based left- and right-sided integrals are iterated to prove Cauchy-type formulas which lead to the generalized IPK fractional operators. Essential properties such as linearity, boundedness, semigroup structure, and continuity are verified, and it is shown that the associated operator spaces constitute Banach spaces. Several special cases of the parameters provide classical fractional forms such as Riemann–Liouville, Hadamard, and Katugampola operators. A comparative study is also conducted that highlights the enhanced memory behavior and adaptability of the IPK operators relative to traditional models. Additionally, the newly-defined operators are implemented in a neural network training framework, where IPK-based fractional gradients improve learning performance and demonstrate computational feasibility. These results underscore the ability of the IPK operators for applications in mathematical modeling, and AI systems with memory-dependent dynamics.
本文提出了一类新的增量参数化核分数阶导数和积分算子,改进了复杂动力系统的建模。迭代了两个特殊构造的基于增量的左、右积分,证明了柯西型公式,从而得到了广义IPK分数算子。验证了相关算子空间的线性性、有界性、半群结构和连续性等基本性质,并证明了相关算子空间构成了Banach空间。参数的一些特殊情况提供了经典分数形式,如Riemann-Liouville、Hadamard和Katugampola算子。对比研究表明,相对于传统模型,IPK算子的记忆行为和适应性有所增强。此外,新定义的算子在神经网络训练框架中实现,其中基于ip的分数梯度提高了学习性能并证明了计算可行性。这些结果强调了IPK算子在数学建模和具有记忆依赖动力学的人工智能系统中的应用能力。
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引用次数: 0
Online diagnosis for bogie bearing unbalance impact faults of railway trains with wavelet phase space reconstruction mechanism 基于小波相空间重构机制的铁路列车转向架轴承不平衡冲击故障在线诊断
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-06 DOI: 10.1016/j.asej.2025.103970
Zheng Liu , Kun Xu , Xiaodong Miao , Qinjing He , Yubin Pan , Hu Yu
The reliability of bearings directly affects the operational status of mechanical equipment, and there is a serious imbalance in its shock vibration characteristics. This paper constructed wavelet phase space in the offline diagnosis stage to locate the part of the fault signal that was concentrated in energy to reconstruct and generate pseudo-fault samples, and guides the category balancing weights in the two-phase feature learning network to reduce the loss contribution of the easy-to-classify samples, while the adaptive threshold is adjusted to balance the local noise with the global statistics, so that the model focuses on the difficult samples more. Finally, small batch incremental learning was applied to online diagnosis to improve the efficiency of industrial diagnosis. Thirty-six sets of experiments under multiple unbalance cases show that the reconstructed signals are of high quality, and the G-mean value can reach 95.04%, which provides a new idea for the online diagnosis.
轴承的可靠性直接影响机械设备的运行状态,其冲击振动特性存在严重的不平衡。本文在离线诊断阶段构造小波相空间,定位故障信号中能量集中的部分重构生成伪故障样本,并在两相特征学习网络中引导类别平衡权值,降低易分类样本的损失贡献,同时调整自适应阈值,平衡局部噪声和全局统计量,使模型更加关注难分类样本。最后,将小批量增量学习应用于在线诊断,提高了工业诊断的效率。在多种不平衡情况下的36组实验表明,重构信号质量高,g均值可达95.04%,为在线诊断提供了新的思路。
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引用次数: 0
A monocular omnidirectional vision-based method for structured light strip extraction and robot target localization under complex interference 基于单目全向视觉的复杂干扰下结构光条提取与机器人目标定位方法
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-05 DOI: 10.1016/j.asej.2025.103959
Zihan Zhang, Qihui Guo, Ivan Kholodilin, Maksim A. Grigorev
A method for structured light extraction and depth reconstruction, tailored to monocular omnidirectional vision systems, is proposed in this study to improve localization accuracy under wide field-of-view conditions with multiple objects and complex interferences such as reflections and occlusions. This method incorporates a multi-threshold fusion adjustment mechanism and introduces new algorithms for structured light clustering and discontinuity repair, aiming to improve the accuracy of centerline extraction. By integrating a neural network algorithm, the position of an object in the robot coordinate system can be accurately estimated from a single monocular omnidirectional image snapshot. The experimental results demonstrate that, compared with conventional extraction methods, the proposed method reduces the depth reconstruction error by 69.18 % in interference environments. By integrating the algorithm into the robotic system, multi-object recognition and localization were successfully achieved using a monocular camera. This provides a reference for the application of monocular omnidirectional vision in robotic systems.
为了提高多目标、反射、遮挡等复杂干扰条件下的大视场定位精度,本研究提出了一种适合单眼全方位视觉系统的结构光提取与深度重建方法。该方法结合多阈值融合调整机制,引入结构光聚类和不连续修复算法,提高中心线提取的精度。通过集成神经网络算法,可以从单目全向图像快照中准确估计物体在机器人坐标系中的位置。实验结果表明,与传统提取方法相比,该方法在干扰环境下深度重建误差降低了69.18%。通过将该算法集成到机器人系统中,成功地实现了单目摄像机的多目标识别和定位。这为单目全方位视觉在机器人系统中的应用提供了参考。
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引用次数: 0
Coupling dielectric physics with calibration models for soil moisture sensing: progress and perspectives 耦合介质物理与土壤水分遥感校准模型:进展与展望
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-04 DOI: 10.1016/j.asej.2025.103968
Muhammad Awais , Linze Li , Syed Muhammad Zaigham Abbas Naqvi , Wei Zhang , Junfeng Wu , Iskander Tlili , Jiandong Hu
The accurate quantification of soil water content (SWC) is critical for applications ranging from climate modeling to precision agriculture. While most modern sensors infer SWC by measuring the soil’s dielectric permittivity, the relationship between these two properties is not universal and is significantly influenced by site-specific factors such as soil texture, composition, and salinity. Without appropriate calibration, this leads to substantial errors in SWC estimation, including inaccurate assessments of water availability, flawed data for hydrological models, and misguided irrigation decisions. This manuscript addresses this challenge by systematically outlining the necessity of soil-specific calibration and providing a detailed explanation of various calibration methodologies for different soil types. It describes the dependencies and discrepancies in using dielectric properties for SWC measurement and reviews the models that overcome these limitations, from empirical approaches to physically-based dielectric mixing models. Furthermore, the work explores future directions, highlighting the potential of emerging technologies like hyperspectral imaging to complement traditional dielectric sensing techniques. By synthesizing current calibration strategies and pointing toward next-generation methods, this review aims to enhance the accuracy and reliability of soil moisture monitoring across diverse environments.
土壤含水量(SWC)的准确量化对于从气候建模到精准农业的应用至关重要。虽然大多数现代传感器通过测量土壤的介电常数来推断SWC,但这两种特性之间的关系并不普遍,并且受到土壤质地、成分和盐度等特定地点因素的显著影响。如果没有适当的校准,这将导致SWC估算中的重大错误,包括对水资源可用性的评估不准确、水文模型的数据有缺陷以及错误的灌溉决策。本文通过系统地概述土壤特定校准的必要性,并提供不同土壤类型的各种校准方法的详细解释,解决了这一挑战。它描述了在SWC测量中使用介电特性的依赖关系和差异,并回顾了克服这些限制的模型,从经验方法到基于物理的介电混合模型。此外,该工作还探索了未来的方向,强调了新兴技术如高光谱成像的潜力,以补充传统的介电传感技术。通过综合当前的校准策略,并指出下一代方法,本文旨在提高不同环境下土壤湿度监测的准确性和可靠性。
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引用次数: 0
Designing a historically grounded bibliographic model to enhance reference reliability in planning research 设计一个基于历史的书目模型以提高规划研究中的参考可靠性
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-03 DOI: 10.1016/j.asej.2025.103973
Hisham Abusaada , Abeer Elshater , Hebatullah Ghalib
Planning research should rely on empirical evidence and on how knowledge is structured, cited, and contextualized. This paper introduces the Historically Grounded Bibliography (HGB) as a heuristic model, which redefines bibliographic analysis as a dynamic methodological tool rather than a static list of references. The HGB model is built on a scoping review of three analytical principles—Interpretation, Context, and Lineage—that uncover interconnections and historical dependencies in planning research. The model’s construct is developed into a procedural tool encompassing six steps and twelve actionable procedures. For example, this manuscript used the HGB model, presenting steps and actions for constructing a bibliography. Our results confirmed that the HGB model enhances the reliability and interpretive capacity of bibliographic inquiry. This heuristic model positions bibliography in planning research as a methodological bridge between qualitative understanding and data-driven research, thereby helping select a reliable list of references.
规划研究应该依赖于经验证据以及知识的结构、引用和背景。本文介绍了基于历史的参考书目(HGB)作为一种启发式模型,它将书目分析重新定义为一种动态的方法论工具,而不是静态的参考文献列表。HGB模型是建立在对三个分析原则(解释、背景和传承)的范围审查之上的,这三个分析原则揭示了规划研究中的相互联系和历史依赖关系。该模型的构造被发展成一个包含六个步骤和十二个可操作程序的程序工具。例如,本文使用了HGB模型,展示了构建参考书目的步骤和操作。研究结果证实,HGB模型提高了书目查询的可靠性和解释能力。这种启发式模型将规划研究中的书目定位为定性理解和数据驱动研究之间的方法论桥梁,从而帮助选择可靠的参考文献列表。
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引用次数: 0
Big data-assisted urban governance: The influence factors of citizens’ satisfaction on government hotline services 大数据辅助城市治理:公民对政府热线服务满意度的影响因素
IF 5.9 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.asej.2025.103943
Zicheng Zhang , Shujing Shen
This study examines the modernization of Government Hotline Services (GHS) from legacy telephony to integrated multichannel platforms, highlighting the role of big data analytics in optimizing service efficiency and enhancing public trust. Using operational data from a Chinese GHS, two predictive models were developed: Our approach delivers a sentiment classifier with a 2% accuracy gain over the R-EKLT algorithm and a GRU-based satisfaction predictor that achieves 89.21% accuracy. A tripartite validation—citizen, government, and agent perspectives—confirmed reliability. Analysis revealed high-expectation factors (efficiency, quality, completion, and sentiment) and low-expectation factors (delays and repeated follow-ups) as key determinants of citizen satisfaction. Building on these insights, the study proposes a scalable data-driven governance framework to continuously predict satisfaction and dynamically adjust services in real time. This framework enhances service responsiveness, strengthens citizen-government trust, and improves urban governance efficiency, ultimately elevating the quality of life and tourism experiences in cities.
本研究考察了政府热线服务(GHS)从传统电话到综合多渠道平台的现代化,强调了大数据分析在优化服务效率和增强公众信任方面的作用。利用中国GHS的运行数据,我们开发了两个预测模型:我们的方法提供了一个情感分类器,比r - ekklt算法的准确率提高了2%,而基于gru的满意度预测器的准确率达到了89.21%。三方验证——公民、政府和代理的观点——确认了可靠性。分析显示,高期望因素(效率、质量、完成度和情绪)和低期望因素(延迟和重复跟进)是公民满意度的关键决定因素。基于这些见解,该研究提出了一个可扩展的数据驱动治理框架,以持续预测满意度并实时动态调整服务。这一框架提高了服务响应能力,增强了公民与政府的信任,提高了城市治理效率,最终提升了城市的生活质量和旅游体验。
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引用次数: 0
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Ain Shams Engineering Journal
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