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Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
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Proofreading01:43

Proofreading

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Overview
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Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

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Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Norton's Theorem01:14

Norton's Theorem

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Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the...
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相关实验视频

Updated: Jun 7, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

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使用错误纠正代码对抗图表中的对抗性扰动.

Saif Eddin Jabari1

  • 1<a href="https://ror.org/00e5k0821">New York University Abu Dhabi</a>, Saadiyat Island, P.O. Box 129188, Abu Dhabi, United Arab Emirates and <a href="https://ror.org/0190ak572">New York University Tandon School of Engineering</a>, Brooklyn, New York 11201, USA.

Physical review. E
|November 20, 2024
PubMed
概括

本研究介绍了一种新的图形防御策略,使用重复编码和多数投票来保护数据传输免受敌对攻击. 该方法有效地重建图形,而不需要先前了解攻击的具体情况.

科学领域:

  • 图形理论是指图形的理论.
  • 网络安全 网络安全
  • 信息理论是信息理论.

背景情况:

  • 图形在传输过程中容易受到敌对干扰,类似于网络攻击.
  • 添加或删除边缘可以损害图的完整性.
  • 现有的防御可能需要先前了解攻击载体.

研究的目的:

  • 开发一种可靠的方法来重建受到对抗边缘干扰的图形.
  • 提出一种在没有事先了解攻击特征的情况下运行的防御机制.
  • 在不同的图形模型上分析拟议方法的有效性.

主要方法:

  • 使用重复编码方案与发送者分配的噪声.
  • 在接收端执行多数投票,用于图形纠正.
  • 对概率约束的重复次数进行分析导出边界.

主要成果:

  • 该方法成功地解码了以非随机边缘去除 (最高自向量中心性) 和随机边缘操纵的埃尔多斯-雷尼图.
  • 对无尺度图的攻击有效 (巴拉巴西-阿尔伯特模型).
  • 与埃尔多斯-雷尼图相比,无尺度图需要更多的重复.

结论:

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  • 建议的重复编码和多数投票方案为图形重建提供了一个强大的解决方案,以防止对抗性干扰.
  • 该方法在不同的图形类型和攻击策略中表现出有效性.
  • 分析界限为确保重建图形质量的定量指标.