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相关概念视频

Unsymmetric Bending01:18

Unsymmetric Bending

376
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...
376

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Updated: Jul 26, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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基于机器学习的方法用于光纤曲窃听侦测.

Haokun Song, Rui Lin, Yajie Li

    Optics letters
    |June 15, 2023
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    此摘要是机器生成的。

    这项研究引入了一种机器学习方法来检测纤维曲窃听. 该技术通过分析光学信号特征,准确地识别未经授权的访问,增强网络安全,无需额外的设备.

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    科学领域:

    • 光学工程是指光学工程.
    • 网络安全 网络安全
    • 机器学习 机器学习

    背景情况:

    • 光纤网络容易受到物理窃听的影响.
    • 检测未经授权的访问对于安全的数据传输至关重要.
    • 现有的方法可能需要专门的设备或链路修改.

    研究的目的:

    • 开发一种有效的,非侵入性的方法来检测纤维曲窃听.
    • 利用机器学习来对光学信号中的正常事件和窃听事件进行分类.

    主要方法:

    • 从时间域光学信号中提取5维特征.
    • 长短期内存 (LSTM) 网络用于信号分类的应用.
    • 在60公里的单模光纤链路上进行实验验证,采用剪贴合器.

    主要成果:

    • 实现了95.83%的检测准确度,用于光纤曲窃听.
    • 证明了正常和窃听事件的成功分类.
    • 在现实的传播场景中验证了该计划的有效性.

    结论:

    • 拟议的特征提取和基于LSTM的方案在检测光纤曲窃听方面提供了高精度.
    • 该方法依赖于时间域信号分析,因此不需要额外的设备或特殊的链路设计.
    • 这种方法可以提高光纤通信的安全性,而不会损害网络基础设施.