Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Principal Moments of Area01:14

Principal Moments of Area

937
In mechanics, the product of inertia and moments of inertia of area help to calculate the stability and performance of various structures and components. The coordinate transformation relations are used to calculate the moments and products of inertia for an area about the inclined axes. Further, the moments and products of inertia with respect to the principal axes can be determined using the moments and products of inertia about the inclined axes.
The principal moment of inertia axes are the...
937
Deconvolution01:20

Deconvolution

113
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
113
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

17
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
17
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

30
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
30
Parallel Processing01:20

Parallel Processing

125
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
125
Dot Product: Problem Solving01:21

Dot Product: Problem Solving

319
The dot product is a powerful tool in problem-solving involving vectors, given that the dot product of two vectors is the product of their magnitudes and the cosine of the angle between them measured anti-clockwise. Solving problems involving the dot product requires understanding its properties and developing a step-by-step process to solve them. Here are the main steps to follow when solving any general problem involving the dot product:
Identify the problem: Start by reading the problem and...
319

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

On Berman Functions.

Methodology and computing in applied probability·2024
Same journal

Effects of Prioritized Input on Human Resource Control in Departmentalized Markov Manpower Framework.

Methodology and computing in applied probability·2023
Same journal

The Markovian Shot-noise Risk Model: A Numerical Method for Gerber-Shiu Functions.

Methodology and computing in applied probability·2023
Same journal

Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression.

Methodology and computing in applied probability·2023
Same journal

On The Randomized Schmitter Problem.

Methodology and computing in applied probability·2022
Same journal

Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts.

Methodology and computing in applied probability·2022
查看所有相关文章

相关实验视频

Updated: May 9, 2025

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

8.9K

覆盖一个点的过程与另一个点的过程.

Frankie Higgs1, Mathew D Penrose1, Xiaochuan Yang2

  • 1Department of Mathematical Sciences, University of Bath, Bath, BA2 7AY UK.

Methodology and computing in applied probability
|May 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究分析了域内随机点的两个样本k覆盖率值. 结果显示,它的限制分布取决于域面积和周边,在更高的维度中边界效应显著.

关键词:
覆盖范围的门.波森点过程的过程.弱点的极限是弱点的极限.

更多相关视频

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.8K
Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons
14:02

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

5.7K

相关实验视频

Last Updated: May 9, 2025

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

8.9K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.8K
Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons
14:02

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

5.7K

科学领域:

  • 几何概率的几何概率
  • 空间统计的空间统计.
  • 极端价值理论是一个极端价值理论.

背景情况:

  • 了解随机点覆盖在各个领域至关重要.
  • 在边界域中覆盖值的行为需要详细分析.

研究的目的:

  • 为了确定两个样本的k覆盖率值的限制分布.
  • 研究域几何 (面积和边界) 对覆盖面的影响.
  • 将发现扩展到更高的维度.

主要方法:

  • 利用概率理论和随机几何学.
  • 为覆盖值推导非对称分布.
  • 在两个和更高的维度中分析边界效应.

主要成果:

  • 对于单位面积域名,值遵循Gumbel分布.
  • 对于非单位面积的域,周边效应变得显著,改变了分布.
  • 更高的维度显示了所有k.主导的边界效应.

结论:

  • 域的几何性质极大地影响了覆盖率的门.
  • 边界效应在高维空间中更为明显.
  • 导出的分布为空间覆盖面分析提供了一个理论框架.