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相关概念视频

Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
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Differential Leveling01:12

Differential Leveling

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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

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During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
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Design Example: Maintaining Level of an Embankment01:19

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Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
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Application of Linearization and Approximation01:29

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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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Updated: May 1, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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基于地测注意力的点云完成的多阶段改进网络.

Yuchen Chang1, Kaiping Wang2

  • 1Department of Computer Science, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi Province, China.

Scientific reports
|January 28, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的地测注意力转换器,用于点云完成,有效地捕捉非欧几里德几何. 该方法增强了特征提取和信息聚合,以提高性能.

关键词:
注意力机制注意力机制地测注意力 地测注意力完成点云完成点云.经常性信息聚合单元.

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科学领域:

  • 计算机视觉 计算机视觉
  • 几何深度学习 几何深度学习

背景情况:

  • 注意力机制有先进的点云任务,但与无序的,非欧几里德数据作斗争.
  • 现有的方法经常使用欧几里德或局部几何学,无法捕捉内在的点云特征.

研究的目的:

  • 提出一个新的基于注意力的地测变压器网络,以完成点云.
  • 准确地表示和利用点云数据中固有的非欧几里德几何.

主要方法:

  • 开发了一个地测注意力机制,以捕捉对多重体的远程依赖.
  • 引入了位置特征提取器,以增强几何特征和非欧几里德属性.
  • 使用一次性信息聚合单元进行多阶段的功能改进.

主要成果:

  • 拟议的网络对齐了特征尺寸,并有效地捕捉了几何依赖.
  • 增强的几何特征和非欧几里德属性改善了点云表示.
  • 该方法表现出强大的竞争力,与最先进的方法相比.

结论:

  • 新的地质注意力转换器网络为点云完成提供了强大的解决方案.
  • 准确建模非欧几里德几何对于先进的点云处理至关重要.