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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

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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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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
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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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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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相关实验视频

Updated: May 22, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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使用改进的YOLOv8进行钢表面缺陷检测的轻量级算法.

Shuangbao Ma1,2, Xin Zhao2, Li Wan3

  • 1Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, China.

Scientific reports
|March 16, 2025
PubMed
概括
此摘要是机器生成的。

一个新的轻量级算法通过减少模型复杂性和提高准确性来改善钢表面缺陷检测. 这种增强的YOLOv8模型为边缘计算应用提供了性能和效率之间的平衡.

关键词:
注意力机制注意力机制缺陷检测 检测缺陷检测 检测缺陷检测幽灵网 (GhostNet) 是一个幽灵网络.轻量化 轻量化 轻量化 轻量化 轻量化这就是SIOUU的意思.这就是YOLOv8的意义.

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 材料科学 材料科学 材料科学

背景情况:

  • 钢表面缺陷检测面临着精度低,参数数量高和复杂模型的挑战.
  • 现有的方法在资源有限的环境中难以提高效率.

研究的目的:

  • 开发一个轻量级和准确的算法,用于钢表面缺陷检测.
  • 为了提高检测精度和减少边缘部署的模型复杂性.

主要方法:

  • 一个改进的YOLOv8算法,将GhostNet作为背骨.
  • 集成多路径坐标注意力 (MPCA) 机制,以增强特征提取.
  • 使用简化IOU (SIoU) 损失函数,以实现更快,更准确的回归.

主要成果:

  • 计算负载减少了37%,参数数量减少了32%.
  • 平均检测准确度 (mAP) 提高了1.2%.
  • 在模型轻量化和检测准确性之间取得了平衡.

结论:

  • 拟议的算法为在资源有限的边缘计算环境中对钢表面缺陷检测提供了可行的解决方案.
  • 这些改进为嵌入式系统和移动设备提供了强大而高效的模型.