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相关概念视频

Adjusting a Traverse01:12

Adjusting a Traverse

59
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...
59
Errors and Mistakes in Surveying01:19

Errors and Mistakes in Surveying

78
Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
78
Distance Corrections01:15

Distance Corrections

28
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
28
Errors in Taping01:18

Errors in Taping

26
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
26
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

230
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
230
Latitudes and Departures01:27

Latitudes and Departures

89
Latitudes and departures are essential concepts in surveying, providing a systematic way to analyze the projections of traverse lines. These projections allow surveyors to interpret a line's north-south and east-west components, which are crucial for precisely calculating areas, bearings, and lengths. Latitude is the north-south projection of a line, calculated as the product of the line's length and the cosine of its bearing. Departure, conversely, is the east-west projection obtained by...
89

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相关实验视频

Updated: Jul 4, 2025

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

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铁路轨道表面故障数据集数据集

Asfar Arain1, Sanaullah Mehran1, Muhammad Zakir Shaikh1,2

  • 1NCRA MUET, NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.

Data in brief
|February 1, 2024
PubMed
概括

通过EKENH9R摄像头捕捉的铁路轨道表面缺陷的新数据集,有助于铁路维护和计算机视觉方面的研究. 本资源支持开发用于自动化轨道检查的机器学习 (ML) 和深度学习 (DL).

关键词:
计算机视觉 计算机视觉状态监控 状态监控 状态监控错误识别 错误识别 错误识别铁路表面缺陷 铁路表面缺陷铁路 铁路 铁路 铁路 铁路 铁路

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Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Image-based Lagrangian Particle Tracking in Bed-load Experiments

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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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相关实验视频

Last Updated: Jul 4, 2025

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K
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

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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

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科学领域:

  • 土木工程 土木工程是指土木工程.
  • 计算机视觉 计算机视觉
  • 数据科学数据科学数据科学

背景情况:

  • 铁路基础设施的维护对于运输安全和效率至关重要.
  • 轨道表面缺陷,如裂和裂纹,挑战了轨道的完整性.
  • 现有研究需要全面的数据集来进行高级分析.

研究的目的:

  • 介绍一套关于铁路轨道表面故障的新型数据集.
  • 为铁路维护和计算机视觉研究提供有价值的资源.
  • 促进ML / DL算法的开发,以检测缺陷.

主要方法:

  • 用铁路检查车辆上的EKENH9R摄像头收集数据.
  • 在各种条件下确保了多样化的现实世界故障表示.
  • 为准确的分类提供了详细的注释和元数据.

主要成果:

  • 现在可以获得各种铁路轨道表面缺陷的全面数据集.
  • 数据集包括各种环境和照明条件下的图像.
  • 附注允许精确的故障分类和严重程度评估.

结论:

  • 该数据集是ML/DL和铁路维护中的图像处理的重要资产.
  • 它支持自动检查和预测性维护系统的开发.
  • 鼓励社区利用以推进轨道状况监测研究.