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

Improving Translational Accuracy02:07

Improving Translational Accuracy

10.3K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
10.3K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

357
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
357
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

402
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...
402
Adjusting a Traverse01:12

Adjusting a Traverse

57
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
57
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

335
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
335
Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

29
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
29

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

DECODE: Domain-Aware Continual Domain Expansion for Motion Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Plasma lipidome mediates the causal effect of chronic hepatitis B on cirrhosis: A Mendelian randomization study.

Medicine·2026
Same author

An injectable hyaluronic acid/chondroitin sulfate hydrogel capturing stem cell factors attenuates periodontitis.

Colloids and surfaces. B, Biointerfaces·2026
Same author

Breaking through safety performance stagnation in autonomous vehicles with dense learning.

Nature communications·2026
Same author

Localized Delivery of Mesenchymal Stem Cell Spheroids via an Injectable Hydrogel for Rheumatoid Arthritis Therapy.

ACS applied bio materials·2026
Same author

FBXO5 alleviates apical periodontitis by facilitating TP53 protein degradation.

International dental journal·2025
Same journal

The grand rapids dip could it be real?

Accident; analysis and prevention·2026
Same journal

A temporal causal deep learning for real-time traffic risk prediction on freeway merging areas.

Accident; analysis and prevention·2026
Same journal

Modeling road-segment-level speeding risk of new energy vehicle taxis using a multistage framework with spatial spillover, endogeneity, and nonlinear effects.

Accident; analysis and prevention·2026
Same journal

Role of streetscape feature in pedestrian safety: A modified multi-level multiple membership model.

Accident; analysis and prevention·2026
Same journal

Assessing autonomous driving performance and environmental influencing factors using real-world operational trajectory data.

Accident; analysis and prevention·2026
Same journal

Multi-scale modeling of electric vehicle fatal crash risk: uncovering spatial heterogeneity and infrastructure-land use coupling mechanisms.

Accident; analysis and prevention·2026
查看所有相关文章

相关实验视频

Updated: Jun 30, 2025

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

13.5K

一种基于轨迹数据的通用优化增强方法:两个加一个.

Feng Zhu1, Cheng Chang2, Zhiheng Li3

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Accident; analysis and prevention
|March 16, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新方法,以提高交通研究的轨迹数据质量. 该技术有效过噪音,同时保持关键的驾驶特性,提高车辆安全性和智能交通系统.

关键词:
数据增强数据增强数据增强优化问题 优化问题轨道数据 轨道数据趋势过器趋势过器

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

12.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

相关实验视频

Last Updated: Jun 30, 2025

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

13.5K
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

12.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

科学领域:

  • 交通工程是交通工程.
  • 数据科学数据科学数据科学
  • 智能运输系统 智能运输系统

背景情况:

  • 轨迹数据对于车辆安全,交通流动和智能车辆至关重要.
  • 现有的轨迹增强方法经常忽略突然变化,导致数据不一致和驾驶特征的丧失.

研究的目的:

  • 为轨迹数据提出基于优化的通用增强方法.
  • 通过保持突然变化和确保物理可行性来解决现有方法的局限性.

主要方法:

  • 一种结合L1和L2趋势过器的双层优化方法.
  • 使用L2趋势过器来融合原始数据并消除不一致.
  • 采用L1趋势过器来优化数据,确保物理可行性并保留突然变化.

主要成果:

  • 拟议的方法有效地过了轨道数据中的噪音和不一致性.
  • 对于紧急驾驶特征至关重要的突然变化被保留.
  • 通过评估指标和预测模型的验证证实了该方法的有效性.

结论:

  • 基于优化的通用增强方法提供了高质量的轨迹数据.
  • 这确保了在交通研究和实际应用中提高安全性.
  • 该方法提高了智能车辆系统和交通流分析的可靠性.