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相关概念视频

Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

157
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
157
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

121
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
121
Reducing Line Loss01:18

Reducing Line Loss

196
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...
196
Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

123
Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
123
Circuit Terminology01:14

Circuit Terminology

2.2K
An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

146
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
146

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Updated: Sep 16, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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表边界网:一个表边界提取网络,考虑拓规律性.

Jing Yang1, Shengqiang Zhou2, Xialing Li1

  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.

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|July 12, 2025
PubMed
概括
此摘要是机器生成的。

TableBorderNet使用一种新的语义细分方法,准确地从退化的工程图纸中提取表框. 这种方法通过提高数据提取精度来增强数字存档和智能基础设施开发.

关键词:
深度学习是一种深度学习.语义细分 语义细分 语义细分 语义细分表格边界提取表格边界提取拓意识的学习学习

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相关实验视频

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科学领域:

  • 计算机视觉 计算机视觉
  • 数字图像处理 数字图像处理
  • 机器学习 机器学习

背景情况:

  • 从扫描的道路工程图纸中精确地提取表格边界,对于数字化转型和智能基础设施至关重要.
  • 退化的边界,模糊和相邻的字符对自动表解析构成重大挑战.
  • 现有的方法与视觉扭曲作斗争,需要大量的注释数据,限制了现实世界的适用性.

研究的目的:

  • 从复杂和退化的工程图纸中开发一个可靠的框架来精确地提取表边界.
  • 为了提高工程档案中自动表格结构划分的准确性和可靠性.
  • 减少对手工注释数据集的依赖,以训练深度学习模型.

主要方法:

  • 提出了TableBorderNet,这是一个语义细分框架,指导在明确的行和列方向上提取特征.
  • 引入了拓意识损失函数,以确保降解输入的结构一致性.
  • 实施了一种自主监督的生成策略,以模拟退化模式并减少注释需求.

主要成果:

  • 在表边界提取方面实现了94.2%的交叉跨欧盟 (IoU).
  • 显示了1.07%的低拓误差,表明结构精度高.
  • 在复杂的视觉条件下,在精度和稳定性方面超过了现有的方法.

结论:

  • TableBorderNet提供了一个实用且可扩展的解决方案,用于在工程图中精确地提取表边界.
  • 该框架大大推动了工程档案的数字化转型,并支持数据驱动的道路资产管理.
  • 该方法能够处理退化输入并最大限度地减少注释要求的能力提高了其现实世界的实用性.