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

Degree of Curvature and Radius of Curvature01:19

Degree of Curvature and Radius of Curvature

574
The degree of curvature and the radius of curvature are fundamental concepts in determining the sharpness or smoothness of a curve. The degree of curvature is a measure of how steeply a curve bends and can be determined using the chord basis or the arc basis. In the chord basis method, the degree of curvature is defined as the central angle subtended by a chord of 30.48 meters, helping in the calculation of the radius of the curve. The arc basis method defines the degree of...
574
Space-Time Curvature and the General Theory of Relativity01:17

Space-Time Curvature and the General Theory of Relativity

4.8K
In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
This has been verified in many experiments. However, space and time are no longer absolute. Two observers moving relative to one another do not agree on the length of objects or the passage of time. The mechanics of objects based on Newton's laws of...
4.8K
Bending of Curved Members - Strain Analysis01:14

Bending of Curved Members - Strain Analysis

566
The mechanics of deformation in curved members, such as beams or arches, under bending moments, involve complex responses. When such a member, symmetric about the y-axis and shaped like a segment of a circle centered at point C, is subjected to equal and opposite forces, its curvature and surface lengths change significantly. This alteration results in the shift of the curvature's center from C to C', indicating a tighter curve.
The important part of bending analysis for such a member...
566
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

682
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
682
Divergence and Curl01:15

Divergence and Curl

3.5K
The divergence of a vector field at a point is the net outward flow of the flux out of a small volume through a closed surface enclosing the volume, as the volume tends to zero. More practically, divergence measures how much a vector field spreads out or diverges from a given point. For an outgoing flux, conventionally, the divergence is positive. The diverging point is often called the "source" of the field. Meanwhile, the negative divergence of a vector field at a point means that the vector...
3.5K
Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

1.1K
When a car traverses a curved road, its motion can be elucidated by breaking it down into tangential and normal components. The car-centric coordinates attached to the vehicle move with it.
The positive direction of the t-axis aligns with the increasing position of the car along the curved path, denoted by the unit vector ut. Simultaneously, the n-axis, perpendicular to the t-axis, dissects the curved path into differential arc segments, each forming the arc of a circle with a radius of...
1.1K

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 author

Provable cluster-preserving visualizations with curvature-based stochastic neighbor embeddings.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Human learning of noninvasive brain-computer interfaces via manifold geometry.

Nature neuroscience·2026
Same author

Physical contact reveals a hidden layer of cortical architecture.

bioRxiv : the preprint server for biology·2026
Same author

RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics.

ArXiv·2026
Same author

Human claustrum neurons encode uncertainty and prediction errors during aversive learning.

bioRxiv : the preprint server for biology·2026
Same author

Characterizing Physician Referral Networks with Ricci Curvature.

Pediatric and lifespan data science : First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23-24, 2024, Revised Selected Papers. International Pediatric and Lifespan Data Science Conference (1st : 2024 : Anaheim, Calif.)·2026

相关实验视频

Updated: Mar 6, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.3K

扩散曲率用于在高维数据中估计局部曲率.

Dhananjay Bhaskar1, Kincaid MacDonald2, Oluwadamilola Fasina3

  • 1Department of Genetics, Yale University.

Advances in neural information processing systems
|March 5, 2026
PubMed
概括

我们开发了扩散曲率,这是一种测量点云局部曲率的新方法. 这种技术使用随机步行"惰"来分析数据结构,在几何学和机器学习方面有应用.

更多相关视频

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

13.1K
Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
11:43

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

11.3K

相关实验视频

Last Updated: Mar 6, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.3K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

13.1K
Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
11:43

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

11.3K

科学领域:

  • 计算几何学计算几何学
  • 数据分析数据分析
  • 机器学习是机器学习.

背景情况:

  • 分析点云数据是复杂的.
  • 现有的曲率测量可能无法有效捕捉内在数据结构.

研究的目的:

  • 引入扩散曲率,这是点云局部曲率的新内在测量方法.
  • 使用神经网络将标尺曲率扩展到二次形式.
  • 在各种数据集中展示应用程序.

主要方法:

  • 使用扩散地图和数据扩散操作员来构建点云.
  • 根据随机走路的"惰"来定义局部曲率.
  • 用神经网络估计用于二次方形曲率.

主要成果:

  • 扩散曲率与里曼几何学中的体积比较有关.
  • 成功地将扩散曲率应用于玩具数据,单细胞数据和神经网络损失景观.
  • 为了更丰富的分析,将标量尺度扩展到二次形式.

结论:

  • 扩散曲率为点云数据提供了一个强大的内在测量方法.
  • 该方法为数据几何和结构提供了宝贵的见解.
  • 应用证明了它在科学领域的多功能性.