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

Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

487
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
487
Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

423
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...
423
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

389
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
389
Degree of Curvature and Radius of Curvature01:19

Degree of Curvature and Radius of Curvature

80
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...
80
Field Procedure for Staking Out Curves01:26

Field Procedure for Staking Out Curves

73
Staking out curves is an essential process in construction to ensure the accurate alignment of structures along a curved path. This task involves positioning stakes at calculated locations corresponding to the curve's design, effectively translating plans into physical markers in the field. The process begins by determining the geometric parameters of the curve, including the radius, central angle, and tangent distances. These parameters are critical for identifying key points such as the...
73
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

421
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
421

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

Feature-preserving manifold approximation and projection to analyze single-cell data.

Nature computational science·2026
Same author

Lipid metabolism drives dietary effects on T cell ferroptosis and immunity.

Nature·2026
Same author

Facial Privacy Protection for Remote Photoplethysmography.

IEEE journal of biomedical and health informatics·2025
Same author

Category Name Expansion and an Enhanced Multimodal Fusion Framework for Few-Shot Learning.

Entropy (Basel, Switzerland)·2025
Same author

From Few to More: Scribble-Based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels.

IEEE journal of biomedical and health informatics·2025
Same author

Revealing roles of immobilization in microalgae-bacteria symbiosis system for nutrient removal from wastewater.

Bioresource technology·2025

相关实验视频

Updated: Jul 19, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.0K

计算编码曲率之前的曲线结构跟踪的地理路径.

Da Chen1, Jean-Marie Mirebeau2, Minglei Shu1

  • 1Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.

Proceedings of the National Academy of Sciences of the United States of America
|August 7, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了一种高效的方法来计算最佳曲线,使用一个增强的弹性能量模型与曲率先. 这种方法通过解决汉密尔顿 - 雅各比 - 贝尔曼方程来保证全球最佳性,以获得准确的中心线跟踪.

关键词:
之前的曲率之前的曲率有曲线结构的跟踪跟踪.快速运行法是一种快速运行方法.第二阶段的地球测量路径这是欧勒姆福德弹性模型的变体.

更多相关视频

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.1K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

相关实验视频

Last Updated: Jul 19, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.0K
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.1K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

科学领域:

  • 计算几何学计算几何学
  • 图像分析 图像分析
  • 微分几何学的差异几何学

背景情况:

  • 尽量减少曲线能量对于形状分析和图像分割至关重要.
  • 传统的弹性模型可能无法有效地捕捉复杂的几何特征.
  • 纳入数据驱动的先验可以增强曲线演变模型.

研究的目的:

  • 引入一种有效的计算曲线的方法,使修改后的欧勒 - 福德弹性能量最小化.
  • 以用户定义的,数据驱动的曲率提升曲能量.
  • 在图像数据中准确追踪曲线结构.

主要方法:

  • 静态汉密尔顿-雅各比-贝尔曼 (HJB) 偏微分方程 (PDE) 的粘度解的数值计算.
  • 对修改弹性模型的显式哈密尔顿推导.
  • 使用自适应有限差异方案对HJB PDE进行分离.
  • 通过通用快速行进方法解决HJB PDE.
  • 从图像数据中实际估计曲率前值.

主要成果:

  • 开发了一种高效和全球最佳的曲线计算方法.
  • 拟议的方法有效地结合了曲率先验,以提高能量的最小化.
  • 证明了曲线结构中心线的准确跟踪.
  • 数字实验验证了该方法在合成和真实图像数据上的性能.

结论:

  • 带有曲率先验的增强弹性模型为复杂的几何结构提供了优势.
  • 拟议的数值方法有效计算全球最佳曲线.
  • 这种方法对先进的图像分析和计算几何应用具有前途.