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相关概念视频

Unsymmetric Bending01:18

Unsymmetric Bending

987
Unsymmetrical bending occurs when the bending moment applied to a structural member does not align with its principal axis. This misalignment leads to complex stress distributions and deflection patterns that differ from those in symmetrical bending, and are essential for designing structures to withstand different loading conditions. In unsymmetrical bending, the neutral axis—where stress is zero—does not necessarily align with the geometric axes of the cross-section. The...
987

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相关实验视频

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Wideband Optical Detector of Ultrasound for Medical Imaging Applications
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卷积神经网络用于检测光通信系统中的光纤曲窃听攻击.

Wenshuai Qin, Xiaoxue Gong, Weigang Hou

    Optics express
    |June 14, 2025
    PubMed
    概括

    这项研究引入了一个卷积神经网络 (CNN) 来检测光纤曲窃听攻击在光网络. 在CNN实现高精度,保护通过光纤通信系统传输的敏感数据.

    科学领域:

    • 光学通信是指光学通信.
    • 网络安全 网络安全
    • 机器学习 机器学习

    背景情况:

    • 光纤网络传输超过90%的全球数据,使它们成为关键基础设施.
    • 纤维曲窃听攻击构成了重大威胁,导致潜在的大规模数据泄露.
    • 检测这些攻击对于保持现代通信系统中的数据安全至关重要.

    研究的目的:

    • 提出和验证一项针对光纤曲窃听攻击的新型检测方案.
    • 采用卷积神经网络 (CNN) 来增强检测能力.
    • 为了保护双极化连贯的光通信系统免受物理入侵.

    主要方法:

    • 建立了光纤曲半径和曲功率损耗系数之间的关系.
    • 构建了一个100公里,25 GBaud双极化16平方幅度调制 (16QAM) 的连贯光学系统.
    • 收集正常和纤维曲窃听偏振数据进行分析.

    主要成果:

    • 在各种曲半径方面,CNN实现了高检测准确率:99.8% (10.8毫米),99.67% (12.1毫米) 和99.22% (15毫米).
    • 混合曲半径的检测精度达到了96.15%.
    • 证明了基于CNN的方案在识别恶意光纤操纵方面的有效性.

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    结论:

    • 拟议的基于CNN的检测方案在识别光纤曲窃听攻击方面非常有效.
    • 该方法提供了一个强大的解决方案,用于增强双极化连贯光学系统中的数据安全性.
    • 这些发现有助于保护关键通信基础设施免受物理安全威胁.