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

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

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

Research on gross error detection of enhanced reference points for aircraft assembly tooling based on topological structure.

The Review of scientific instruments·2026
Same author

Research on registration error compensation of large-scale measurement field based on neural network.

The Review of scientific instruments·2023
查看所有相关文章

相关实验视频

Updated: May 10, 2026

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
10:07

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact

Published on: February 10, 2015

19.3K

研究飞机皮肤钉检测技术,基于正常向量密度集群算法.

Lulu Huang1, Xiang Huang1

  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People's Republic of China.

The Review of scientific instruments
|March 8, 2024
PubMed
概括

这项研究引入了一种新的方法,用于在飞机中使用正常向量密度集群检测子冲动. 该技术准确地分析了头质量,这对于空气动力学性能和疲劳寿命至关重要.

科学领域:

  • 航空航天工程 航空航天工程
  • 材料科学 材料科学 材料科学
  • 计算几何学的计算几何学

背景情况:

  • 的质量显著影响飞机的空气动力学性能和疲劳寿命.
  • 准确分析头点云对于质量评估至关重要.
  • 现有的方法在提取和分析头数据时可能缺乏精度.

研究的目的:

  • 提出和验证一种新的钉冲动检测方法.
  • 准确提取头点云数据以进行质量分析.
  • 开发一种用于直观可视化子冲动检测结果的系统.

主要方法:

  • 以正常向量为基础的点云数据采样.
  • 密度聚类算法用于钉头点云提取.
  • 随机样本共识 (RANSAC) 算法用于钉头轮和参数提取.
  • 引入一个特定的质量检测指标,用于头冲洗.

主要成果:

  • 与理论值相比,拟议的方法显示出高精度和最小的错误.
  • 在分析飞机皮肤和理论模型上的钉冲动度的成功应用.
  • 开发可视化系统,以直观地解释结果.

更多相关视频

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.2K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.3K

相关实验视频

Last Updated: May 10, 2026

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
10:07

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact

Published on: February 10, 2015

19.3K
Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.2K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.3K

结论:

  • 开发的方法提供了一种强大而准确的方法来检测子冲动.
  • 可视化系统增强了子质量分析的实际应用和理解.
  • 这种方法对飞机制造和维护的质量控制具有重要的工程价值.