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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

485
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
485
Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

162
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
162

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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使用GAN和费舍尔-耶茨算法优化光学混乱序列.

Daming Wang, Haoran Bian, Yihang Lei

    Optics express
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    此摘要是机器生成的。

    这项研究引入了一种新的光学混乱序列优化,使用深度学习和后处理. 该方法增强了混乱的序列,以改善随机性和安全性应用.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 人工智能的人工智能
    • 信息安全 信息安全

    背景情况:

    • 传统的混乱序列面临着随机性和时间延迟签名的挑战.
    • 深度学习为优化复杂信号生成提供了潜力.

    研究的目的:

    • 提出和演示一个光学混乱序列优化方案.
    • 使用人工智能增强混乱序列的随机性和安全性.

    主要方法:

    • 将生成对抗网络 (GAN) 集成到光学反混乱系统中.
    • 应用费舍尔-耶茨算法用于后处理随机性增强.
    • 将优化的混乱序列量化为随机位序列.

    主要成果:

    • 混乱序列的分布特征和复杂性的显著改善.
    • 在光学混乱序列中有效地抑制时间延迟特征.
    • 使用NIST统计测试套件成功验证了优化的序列.

    结论:

    • 拟议的方案有效地优化了光学混乱序列,以提高随机性和安全性.
    • 人工神经网络的整合为随机位序生成提供了一种新的方法.
    • 这种方法为未来的安全通信和随机数生成研究提供了有希望的方向.