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相关概念视频

Microcracking in Concrete01:20

Microcracking in Concrete

416
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
416
Improving Translational Accuracy02:07

Improving Translational Accuracy

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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...
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Improving Translational Accuracy02:07

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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Types of Non-structural Cracks in Concrete01:28

Types of Non-structural Cracks in Concrete

465
Non-structural cracks are primarily of three types: plastic, early-age thermal, and drying shrinkage cracks. Plastic cracks are further classified into plastic shrinkage cracks and plastic settlement cracks.
Plastic shrinkage cracks typically form within hours after the concrete is poured. The concrete's surface dries faster than the bottom, creating tensile stress that the still-plastic concrete cannot withstand, leading to diagonal or randomly patterned cracks on the concrete surface.
465
Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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相关实验视频

Updated: Jan 12, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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使用改进的YOLOv11模型来增强计算机视觉应用程序,用于构建裂检测算法.

Xiaohu Gao1,2, Chunmei Cao3,4, Xiaojing Yi5

  • 1School of Electronics and Information, Jiangsu Vocational College of Business, Nantong, 226011, China. gaoxiaohu1979@163.com.

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|November 6, 2025
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概括

这项研究增强了用于构建裂检测的YOLOv11算法,达到88.6%的准确性. 改进的模型为识别各种裂类型提供了更高的精度和回忆力,确保了结构安全.

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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
  • 人工智能的人工智能

背景情况:

  • 城市化增加了对高效结构安全监测的需求.
  • 传统的裂检测方法效率低,错误率高.
  • 深度学习,特别是YOLO算法,显示了自动裂检测的前景.

研究的目的:

  • 开发一个增强的YOLOv11模型,以提高建筑裂检测准确度和实时性能.
  • 为了解决检测小型和复杂裂纹模式的局限性.

主要方法:

  • 引入了C3K2-SG模块,用于复杂的背景裂特征提取.
  • 实现了FPSConv模块,用于多尺度裂检测.
  • 利用了Inner_MPDIoU损失函数来增强小裂的定位.

主要成果:

  • 实现了88.6%的检测准确度 (mAP@0.5),比YOLOv11.11提高了4.6%.
  • 精度提高了3.5%,回忆率提高了7.6%.
  • 在检测小目标和复杂的裂类型方面表现出卓越的性能.

结论:

  • 增强的YOLOv11模型为建筑裂检测提供了高效和准确的解决方案.
  • 该模型显示了智能检查和结构安全监控的显著优势.