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Cascaded multiplier-free implementation of adaptive anti-jamming filter based on GNSS receiver 基于全球导航卫星系统接收器的无级联乘法器自适应抗干扰滤波器的实现
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-03 DOI: 10.3389/fphy.2024.1404236
Jie Song, Lei Chen, Zukun Lu, Baiyu Li, Zhe Liu, Zhihao Xue, Guangfu Sun, Wenhong Liu
Evaluating the computational complexity is critical for assessing the time-domain anti-jamming performance of GNSS receivers. The multiplier is the core component that contributes to the computational complexity in time-domain anti-jamming. However, current algorithms aimed at reducing the complexity of time-domain anti-jamming typically concentrate on shortening the filter length, which fails to address the high computational complexity introduced by the use of multipliers. This paper introduces a cascaded multiplier-free approach for implementing time-domain anti-jamming in navigation receivers. We propose a numerical power decomposition technique based on optimal Canonical Signed Digit coding and coefficient decomposition. By substituting the multiplier with minimal adder and shift operations, the computational complexity of the anti-jamming filter with a high quantization bit-width can be considerably decreased. An optimization strategy is presented, and the low-complexity multiplier-free technique is applied to the time-domain anti-jamming filter. Compared to the traditional Canonical Signed Digit multiplier-free technique, our method can reduce the components required for a 12-bit quantization anti-interference filter by one adder, 20 shift operations, and five coded word lengths, while maintaining a pseudo-range measurement deviation below 0.27 ns.
评估计算复杂度对于评估全球导航卫星系统接收器的时域抗干扰性能至关重要。乘法器是造成时域抗干扰计算复杂性的核心部件。然而,目前旨在降低时域抗干扰复杂度的算法通常集中在缩短滤波器长度上,无法解决使用乘法器带来的高计算复杂度问题。本文介绍了一种在导航接收机中实现时域抗干扰的级联无乘法器方法。我们提出了一种基于最佳 Canonical Signed Digit 编码和系数分解的数值功率分解技术。通过用最小的加法器和移位操作代替乘法器,可以大大降低高量化位宽的抗干扰滤波器的计算复杂度。本文提出了一种优化策略,并将低复杂度无乘法器技术应用于时域抗干扰滤波器。与传统的 Canonical Signed Digit 免乘法器技术相比,我们的方法可以将 12 位量化抗干扰滤波器所需的元件减少一个加法器、20 次移位运算和 5 个编码字长,同时将伪量程测量偏差保持在 0.27 ns 以下。
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引用次数: 0
A review of curved crease origami: design, analysis, and applications 弧形折痕折纸综述:设计、分析和应用
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-01 DOI: 10.3389/fphy.2024.1393435
Keyao Song, Han Li, Yang Li, Jiayao Ma, Xiang Zhou
Origami structures with morphing behaviours and unique mechanical properties are useful in aerospace deployable structures, soft robots and mechanical metamaterials. Curved-crease origami, as one of the variants in the origami family, has a curve that connects two vertices as a crease compared to the straight crease counterpart. This feature couples the crease folding and facet bending during the folding process, providing versatile design space of mechanical metamaterials with tunable stiffness, multi-stability properties and morphing behaviours. However, current design techniques are mostly for simple geometries with intuitive construction, the modelling technique focuses on using the conventional finite element method, and the intrinsically complex geometries make specimens difficult to manufacture, which further hinders the development of curved-crease origami structures. Thus, it is valuable to review the state-of-the-art in curved-crease origami. This paper presents a review on the design methodology, analytical methods, and applications of curved-crease origami over the years, discusses their strengths, identifies future challenges and provides an outlook for the future development of the curved-crease origami concept.
具有变形行为和独特机械特性的折纸结构可用于航空航天可部署结构、软机器人和机械超材料。曲折折纸是折纸家族中的一个变种,与直折纸相比,曲折折纸的折痕是连接两个顶点的曲线。这一特点将折痕折叠和折叠过程中的面弯曲结合在一起,为具有可调刚度、多稳定性能和变形行为的机械超材料提供了多样化的设计空间。然而,目前的设计技术大多针对结构直观的简单几何形状,建模技术侧重于使用传统的有限元方法,而本质上复杂的几何形状使得试样难以制造,这进一步阻碍了曲面折纸结构的发展。因此,回顾曲线折纸的最新进展是非常有价值的。本文回顾了多年来曲线折纸的设计方法、分析方法和应用,讨论了它们的优势,指出了未来的挑战,并对曲线折纸概念的未来发展进行了展望。
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引用次数: 0
A survey on deep learning in medical ultrasound imaging 医学超声成像中的深度学习调查
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-01 DOI: 10.3389/fphy.2024.1398393
Ke Song, Jing Feng, Duo Chen
Ultrasound imaging has a history of several decades. With its non-invasive, low-cost advantages, this technology has been widely used in medicine and there have been many significant breakthroughs in ultrasound imaging. Even so, there are still some drawbacks. Therefore, some novel image reconstruction and image analysis algorithms have been proposed to solve these problems. Although these new solutions have some effects, many of them introduce some other side effects, such as high computational complexity in beamforming. At the same time, the usage requirements of medical ultrasound equipment are relatively high, and it is not very user-friendly for inexperienced beginners. As artificial intelligence technology advances, some researchers have initiated efforts to deploy deep learning to address challenges in ultrasound imaging, such as reducing computational complexity in adaptive beamforming and aiding novices in image acquisition. In this survey, we are about to explore the application of deep learning in medical ultrasound imaging, spanning from image reconstruction to clinical diagnosis.
超声波成像已有几十年的历史。由于具有无创、低成本的优势,这项技术已被广泛应用于医学领域,并在超声成像方面取得了许多重大突破。尽管如此,该技术仍存在一些缺陷。因此,人们提出了一些新的图像重建和图像分析算法来解决这些问题。虽然这些新的解决方案有一定的效果,但其中很多都会带来一些其他副作用,如波束成形的计算复杂度较高。同时,医用超声设备的使用要求相对较高,对于没有经验的初学者来说不是很方便。随着人工智能技术的发展,一些研究人员已经开始努力部署深度学习来应对超声成像中的挑战,例如降低自适应波束成形的计算复杂度和帮助新手获取图像。在本研究中,我们将探讨深度学习在医学超声成像中的应用,从图像重建到临床诊断。
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引用次数: 0
Information propagation characteristic by individual hesitant-common trend on weighted network 加权网络上个体犹豫--共同趋势的信息传播特征
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-26 DOI: 10.3389/fphy.2024.1410089
Jianlin Jia, Yuwen Huang, Wanting Zhang, Yanyan Chen
Within the context of contemporary society, the propagation of information is often subject to the influence of inter-individual connectivity, and individuals may exhibit divergent receptive attitudes towards identical information, a phenomenon denoted as the Hesitant-Common (HECO) trait. In light of this, the present study initially constructs a propagation network model devoid of correlation configurations to investigate the HECO characteristics within weighted social networks. Subsequently, the study employs a theoretical framework for edge partitioning, predicated on edge weights and HECO traits, to quantitatively analyze the mechanisms of individual information dissemination. Theoretical analyses and simulation outcomes consistently demonstrate that an augmentation in the proportion of common individuals facilitates both the diffusion and adoption of information. Concurrently, a phase transition crossover is observed, wherein the growth pattern of the ultimate adoption range, denoted as R(∞), transitions from a first-order discontinuous phase transition to a second-order continuous phase transition as the proportion of common individuals increases. An escalation in the weight distribution exponent is found to enhance information propagation. Furthermore, a reduction in the heterogeneity of degree distribution is conducive to the spread of information. Conversely, an increase in degree distribution heterogeneity and a diminution in the collective decision-making capacity can both exert inhibitory effects on the propagation of information.
在当代社会背景下,信息的传播往往会受到个体间连通性的影响,个体对相同信息可能会表现出不同的接受态度,这种现象被称为 "Hesitant-Common(HECO)"特征。有鉴于此,本研究首先构建了一个没有相关配置的传播网络模型,以研究加权社交网络中的 HECO 特征。随后,本研究根据边缘权重和 HECO 特征,采用边缘划分的理论框架,定量分析个体信息传播的机制。理论分析和模拟结果一致表明,共同个体比例的增加有利于信息的传播和采用。同时,我们还观察到一种相变交叉现象,即随着普通个体比例的增加,最终采用范围的增长模式(用 R(∞) 表示)从一阶不连续相变过渡到二阶连续相变。研究发现,权重分布指数的增加会加强信息传播。此外,学位分布异质性的降低也有利于信息的传播。相反,学位分布异质性的增加和集体决策能力的减弱都会对信息传播产生抑制作用。
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引用次数: 0
Thermal and non-thermal DM production in non-standard cosmologies: a mini review 非标准宇宙学中的热和非热DM生成:小型回顾
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-26 DOI: 10.3389/fphy.2024.1425838
Giorgio Arcadi
We provide a short review of some aspects of dark matter (DM) production in non-standard cosmology. Considering the simplest Higgs portal model as a definite particle physics setup, we consider the impact on the parameter space corresponding to the correct relic density and the complementary experimental constraints of the presence, during thermal production, of an exotic component dominating the energy density of the universe. In the second part of the work, we will focus on the case that such an exotic component satisfies the equation of state of matter and can produce DM non-thermally.
我们简要回顾了非标准宇宙学中暗物质(DM)产生的一些方面。考虑到最简单的希格斯门模型是一个明确的粒子物理学设置,我们将考虑在热生成过程中,主导宇宙能量密度的异质成分的存在对正确遗迹密度所对应的参数空间和补充实验约束的影响。在工作的第二部分,我们将重点研究这种奇异成分满足物质状态方程并能非热生成 DM 的情况。
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引用次数: 0
A dynamic beam switching metasurface based on angular mode-hopping effect 基于角度跳模效应的动态光束切换元面
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-25 DOI: 10.3389/fphy.2024.1392115
Dongyu Hu, Shaowei He, Shibin Li, Weiming Zhu
Fast and versatile beam forming and steering technologies are now crucial for various emerging applications, including wireless optical communications and optical switches. However, these technologies often rely on expensive components, such as spatial light modulators (SLMs) and optical phase arrays (OPAs), which come with complex and power-consuming control systems. In response to this challenge, we propose a dynamic beam-switching method inspired by the mode-hopping effect of lasers. As a proof of concept, we introduce the dynamic beam switching metasurface (DBSM) design, featuring an in-plane mechanical actuation system. Our numerical analyses, based on the finite element method (FEM), demonstrate that the proposed DBSM exhibits versatile beam forming and steering functionalities. These include beam splitting and omnidirectional beam steering. Moreover, we anticipate that the tuning speed of the DBSM will reach the kilohertz (kHz) range or even higher when utilizing a microelectromechanical systems (MEMS) actuator, building upon pioneering research in this field. We envision it holds promising applications in areas such as light detection and ranging (LiDAR), optical wireless communication devices, and optical switches.
目前,快速、多功能的光束形成和转向技术对于包括无线光通信和光开关在内的各种新兴应用至关重要。然而,这些技术通常依赖于昂贵的组件,如空间光调制器(SLM)和光相位阵列(OPA),它们都带有复杂且耗电的控制系统。为了应对这一挑战,我们从激光的跳模效应中汲取灵感,提出了一种动态光束切换方法。作为概念验证,我们介绍了动态光束切换元面(DBSM)设计,其特点是采用平面内机械致动系统。我们基于有限元法(FEM)进行的数值分析表明,所提出的 DBSM 具有多种光束形成和转向功能。这些功能包括分束和全向波束转向。此外,在这一领域开创性研究的基础上,我们预计利用微机电系统(MEMS)致动器,DBSM 的调谐速度将达到千赫兹(kHz)甚至更高。我们认为它在光探测和测距 (LiDAR)、光无线通信设备和光开关等领域有着广阔的应用前景。
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引用次数: 0
Maximizing the symmetry of Maxwell’s equations 最大化麦克斯韦方程的对称性
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-24 DOI: 10.3389/fphy.2024.1388397
James A. Reggia
Maxwell’s equations can be successfully extended to electromagnetic fields having three complex-valued components rather than their usual three real-valued components. Here the implications of interpreting the imaginary-valued components as extending into time rather than space are explored. The complex-valued Maxwell equations remain consistent with the original Maxwell equations and the experimental results that they predict. Further, the extended equations predict novel phenomena such as the existence of electromagnetic waves that propagate not only through regular space but also through a separate temporal space (time) that is implied by the three imaginary components of the fields. In a vacuum, part of these imaginary valued waves propagates through time at the same rate as an observer stationary in space. While the imaginary valued field components are not directly observable, analysis indicates that they should be indirectly detectable experimentally based on secondary effects that occur under special circumstances. Experimental investigation attempting to falsify or support the existence of complex valued electromagnetic fields extending into time is merited due to the substantial theoretical and practical implications involved.
麦克斯韦方程可以成功地扩展到具有三个复值分量而非通常的三个实值分量的电磁场。这里探讨了将虚值分量解释为延伸到时间而非空间的含义。复值麦克斯韦方程与原始麦克斯韦方程及其预测的实验结果保持一致。此外,扩展方程还预言了一些新现象,如电磁波的存在,这些电磁波不仅在规则空间中传播,而且还在单独的时间空间(时间)中传播,而时间空间是由场的三个虚值分量所暗示的。在真空中,这些虚值波的一部分以与静止在空间中的观察者相同的速度在时间中传播。虽然虚值场分量无法直接观测到,但分析表明,根据特殊情况下出现的次生效应,它们应该可以通过实验间接检测到。由于所涉及的重大理论和实践影响,我们有必要进行实验研究,试图证伪或支持延伸到时间中的复值电磁场的存在。
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引用次数: 0
Quantum magnetism in Fe2Cu2 polymeric branched chains: insights from exactly solved Ising-Heisenberg model Fe2Cu2 聚合物支链中的量子磁性:从精确求解的 Ising-Heisenberg 模型中获得的启示
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-24 DOI: 10.3389/fphy.2024.1408429
Dávid Sivý, Katarína Karl’ová, Jozef Strečka
The spin-1/2 Ising-Heisenberg branched chain, inspired by the magnetic structure of three isostructural polymeric coordination compounds [(Tp)2Fe2(CN)6X (bdmap)Cu2(H2O)] ⋅ H2O to be further denoted as Fe2Cu2 (Tp = tris(pyrazolyl)hydroborate, bdmapH = 1,3-bis(dimethylamino)-2-propanol, HX = acetic acid, propionic acid or trifluoroacetic acid), is rigorously studied using the transfer-matrix method. The overall ground-state phase diagram reveals three distinct phases: a quantum antiferromagnetic phase, a quantum ferrimagnetic phase and a classical ferromagnetic phase. In the zero-temperature magnetization curve, two quantum ground states are manifested as intermediate plateaus at zero and half of the saturation magnetization, while the magnetization reaches its saturated value within the classical ferromagnetic phase. The bipartite entanglement between nearest-neighbor Heisenberg spins is more pronounced in the quantum ferrimagnetic phase compared to the quantum antiferromagnetic phase due to a fully polarized nature of the Ising spins. A reasonable agreement between theoretical predictions for the spin-1/2 Ising-Heisenberg branched chain and experimental data measured for a temperature dependence of the magnetic susceptibility and a low-temperature magnetization curve suggests strong antiferromagnetic coupling between nearest-neighbor Cu2+-Cu2+ magnetic ions and moderately strong ferromagnetic coupling between nearest-neighbor Cu2+-Fe3+ magnetic ions in the polymeric compounds Fe2Cu2. A thermal entanglement between nearest-neighbor Cu2+-Cu2+ magnetic ions persists up to a relatively high threshold temperature T ≈ 224 K and undergoes a transient magnetic-field-driven strengthening.
自旋-1/2 Ising-Heisenberg 支链的灵感来自三种等结构高分子配位化合物[(Tp)2Fe2(CN)6X (bdmap)Cu2(H2O)]⋅H2O 的磁性结构,进一步表示为 Fe2Cu2(Tp = 三(吡唑基)硼酸酯,bdmapH = 1,3-双(二甲基氨基)-2-丙醇,HX = 乙酸、丙酸或三氟乙酸)、bdmapH = 1,3-双(二甲基氨基)-2-丙醇,HX = 乙酸、丙酸或三氟乙酸),采用转移矩阵法进行了严格研究。整个基态相图显示了三个不同的阶段:量子反铁磁相、量子铁磁相和经典铁磁相。在零温磁化曲线中,两个量子基态分别表现为饱和磁化率为零和一半的中间高原,而在经典铁磁相中,磁化率达到饱和值。与量子反铁磁相相比,量子铁磁相中近邻海森堡自旋之间的双向纠缠更为明显,这是因为伊辛自旋具有完全极化的性质。自旋-1/2 Ising-Heisenberg 支链的理论预测与磁感应强度的温度依赖性和低温磁化曲线的实验数据之间的合理一致性表明,在高分子化合物 Fe2Cu2 中,近邻 Cu2+-Cu2+ 磁性离子之间具有很强的反铁磁耦合,而近邻 Cu2+-Fe3+ 磁性离子之间具有中等强度的铁磁耦合。近邻 Cu2+-Cu2+ 磁离子之间的热纠缠一直持续到相对较高的阈值温度 T≈ 224 K,并经历了瞬态磁场驱动的强化。
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引用次数: 0
A defect detection method for industrial aluminum sheet surface based on improved YOLOv8 algorithm 基于改进型 YOLOv8 算法的工业铝板表面缺陷检测方法
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-24 DOI: 10.3389/fphy.2024.1419998
Luyang Wang, Gongxue Zhang, Weijun Wang, Jinyuan Chen, Xuyao Jiang, Hai Yuan, Zucheng Huang
In industrial aluminum sheet surface defect detection, false detection, missed detection, and low efficiency are prevalent challenges. Therefore, this paper introduces an improved YOLOv8 algorithm to address these issues. Specifically, the C2f-DSConv module incorporated enhances the network’s feature extraction capabilities, and a small target detection layer (160 × 160) improves the recognition of small targets. Besides, the DyHead dynamic detection head augments target representation, and MPDIoU replaces the regression loss function to refine detection accuracy. The improved algorithm is named YOLOv8n-DSDM, with experimental evaluations on an industrial aluminum sheet surface defect dataset demonstrating its effectiveness. YOLOv8n-DSDM achieves an average mean average precision (mAP50%) of 94.7%, demonstrating a 3.5% improvement over the original YOLOv8n. With a single-frame detection time of 2.5 ms and a parameter count of 3.77 M, YOLOv8n-DSDM meets the real-time detection requirements for industrial applications.
在工业铝板表面缺陷检测中,误检、漏检和低效率是普遍存在的难题。因此,本文引入了一种改进的 YOLOv8 算法来解决这些问题。具体而言,C2f-DSConv 模块的加入增强了网络的特征提取能力,小目标检测层(160 × 160)提高了对小目标的识别能力。此外,DyHead 动态检测头增强了目标表示,MPDIoU 取代了回归损失函数以提高检测精度。改进后的算法被命名为 YOLOv8n-DSDM,在工业铝板表面缺陷数据集上的实验评估证明了它的有效性。YOLOv8n-DSDM 的平均平均精度(mAP50%)达到 94.7%,比原来的 YOLOv8n 提高了 3.5%。YOLOv8n-DSDM 的单帧检测时间为 2.5 ms,参数数量为 3.77 M,符合工业应用的实时检测要求。
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引用次数: 0
Inter-firm patent litigation networks: a study of network motif analysis 公司间专利诉讼网络:一项网络主题分析研究
IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-06-24 DOI: 10.3389/fphy.2024.1331286
Tomomi Kito, Yuki Murata, Junichi Yamanoi, Ravi Madhavan
Despite the recent complex intertwining of firms in fierce intellectual property disputes, the formation mechanisms of patent infringement litigation relationships between firms have been little studied from a network science perspective. We construct an inter-firm patent litigation network using longitudinal data on patent infringement litigation and the firms involved in the US, and examine its structural characteristics and the mechanisms of tie formation through network motif analysis, linking it to existing knowledge on negative ties. The results reveal the significant influence of mechanisms such as homophily, popularity, and activity on network formation, with reciprocity emerging as a pivotal factor. The absence of triadic closure is also observed. This distinct structural pattern is consistent across different technological fields and throughout the 20-year period. Furthermore, our analysis delves into the rapid countersuit strategies common within this network and provides valuable insights into patent litigation strategies between firms.
尽管近年来企业在激烈的知识产权纠纷中复杂交织,但从网络科学的角度对企业间专利侵权诉讼关系的形成机制却鲜有研究。我们利用美国专利侵权诉讼和涉案企业的纵向数据构建了一个企业间专利诉讼网络,并通过网络动机分析研究了该网络的结构特征和纽带形成机制,同时将其与现有的负纽带知识联系起来。研究结果表明,同质性、受欢迎程度和活跃程度等机制对网络形成具有重要影响,而互惠性则是其中的关键因素。此外,还观察到缺乏三元封闭性。这种独特的结构模式在不同技术领域和整个 20 年间都是一致的。此外,我们的分析还深入探讨了该网络中常见的快速反诉策略,为企业间的专利诉讼策略提供了宝贵的见解。
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引用次数: 0
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