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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

193
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
193
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

155
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
155
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

340
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
340
Network Function of a Circuit01:25

Network Function of a Circuit

391
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
391
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

130
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
130
Phasor Arithmetics01:13

Phasor Arithmetics

381
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
381

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相关实验视频

Updated: Sep 13, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

501

通过模型算术运算实现无损的石法图形网络.

Yao Fan1, Fuqiang Di1, Mingqing Zhang1

  • 1Engineering University of PAP, Xi'an, 710086, Shaanxi, China.

Neural networks : the official journal of the International Neural Network Society
|August 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种使用模型算术运算的新型无损稳定图网络方法. 这种技术安全地嵌入深度神经网络 (DNN),用于在不影响性能的情况下进行秘密传输.

关键词:
算术运算算术运算算术运算算术运算算术运算算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术运算术秘密通讯是一种秘密的通讯.深度神经网络是一种深度神经网络.没有损失的无损.史蒂冈图 (Steganography) 是一种隐藏的图形.

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相关实验视频

Last Updated: Sep 13, 2025

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科学领域:

  • 计算机科学 计算机科学
  • 密码学 密码学 密码学 密码学
  • 机器学习 机器学习

背景情况:

  • 深度神经网络 (DNN) 用于隐形摄影,需要安全传输.
  • 现有的秘密传输DNN的方法可能会降低秘密模型的性能.
  • 确保隐藏模型在隐藏记录过程中的完整性对于它们的功能至关重要.

研究的目的:

  • 提出一种新的方法,用于DNN的无损稳定传输.
  • 确保在盗记录过程中秘密模型的完全转移和完整性.
  • 为了实现DNN的安全和秘密通信,而不会降低性能.

主要方法:

  • 使用模型算术运算开发了一个无损的石图网络.
  • 在使用算术运算的stego模型中隐藏秘密模型参数.
  • 采用了一种代训练方法来优化stego模型,以获得有效的steganography.

主要成果:

  • 拟议的方法实现了DNN的无损稳态传输.
  • 秘密模型的完整性和性能在整个过程中都被保留.
  • 实验结果表明,高性能石图网络的安全和高效交付.

结论:

  • 基于模型算法的方法为秘密DNN传输提供了安全有效的解决方案.
  • 这种方法通过确保模型完整性来克服现有技术的局限性.
  • 这些发现有助于确保机器学习模型的部署和通信.