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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

152
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...
152
Test for Homogeneity01:23

Test for Homogeneity

2.0K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.0K
Bulk Modulus01:21

Bulk Modulus

309
The bulk modulus is a scientific term used to describe a material's resistance to uniform compression. It is the proportionality constant that links a change in pressure to the resulting relative volume change.
309
Compacting Factor test01:22

Compacting Factor test

147
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
147
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

117
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...
117
Behavior of Concrete Under Compressive Load01:23

Behavior of Concrete Under Compressive Load

163
Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
As the concrete specimen fractures under...
163

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相关实验视频

Updated: Jul 3, 2025

Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
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培训和测试结构相似度指标用于结构无损压缩.

Kaixuan Zhang, Zhaochen Shi, Jana Zujovic

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |February 15, 2024
    PubMed
    概括

    我们开发了一种新方法来训练结构纹理相似度指标 (STSIMs) 用于图像压缩. 这种方法显著提高了性能,并为深度学习方法提供了计算效率高的替代方案.

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 数据压缩数据压缩

    背景情况:

    • 图像中的纹理冗余是有效压缩的关键挑战.
    • 现有的结构纹理相似度指标 (STSIM) 需要强大的培训和测试方法.
    • 自然纹理图像包含了需要考虑的特征性扰动.

    研究的目的:

    • 为培训和测试STSIMs.开发一个系统的方法.
    • 为了利用纹理冗余来实现结构无损的图像压缩.
    • 创建一个数据驱动的方法来训练STSIM的Mahalanobis配方.

    主要方法:

    • 一组模仿自然纹理干扰的图像扭曲用于训练和测试.
    • 进行实证研究,以确定原始和扭曲纹理的感知相似度.
    • 使用数据驱动的方法来训练STSIM的Mahalanobis配方,使用注释的纹理对.

    主要成果:

    • 培训STSIM带来了在指标性能上的显著改善.
    • 经过训练的STSIM指标与基于最先进的卷积神经网络 (CNN) 的指标相比,表现出了竞争力.
    • 拟议的方法比基于CNN的方法提供了比较低的计算成本.

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    结论:

    • 一种系统和数据驱动的方法提高了用于图像压缩的STSIM的性能.
    • 训练有素的STSIM为复杂的深度学习模型提供了高效和有效的替代方案,用于纹理分析.
    • 这项研究有助于通过改进的纹理相似性评估来推进结构无损的图像压缩技术.