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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

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In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
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Sequence Networks of Rotating Machines01:24

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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The Ideal Transformer01:26

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In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
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Torque Free Motion01:15

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The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
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Relative Motion Analysis - Acceleration01:10

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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使用变压器编码器和卷积神经网络的舞蹈运动质量评估模型.

Jiping Qu1

  • 1School of Literature, Law and Art, East China University of Technology, Nanchang, 330013, China. 201960218@ecut.edu.cn.

Scientific reports
|December 31, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种具有动态和静态流的新变压器卷积神经网络 (TransCNN-DSSS) 模型,用于客观的舞蹈运动质量评估. 该模型实现了高精度,为舞蹈评估提供了一个自动化工具.

关键词:
卷积神经网络是一种卷积神经网络.舞蹈运动评价 舞蹈运动评价动态流动流动的动态流动静态的流量 静态的流量在TransCNN-DSSS模型中.变压器 变压器 变压器

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 舞蹈研究 舞蹈研究

背景情况:

  • 传统的舞蹈运动评估方法存在主观性和不一致性.
  • 社交媒体和舞蹈视频的兴起需要自动化和高效的质量评估工具.
  • 舞蹈艺术的复杂性和多样性给客观评估带来了挑战.

研究的目的:

  • 开发一种新的,客观的,自动化的模型来评估舞蹈运动质量.
  • 解决传统的主观评估方法的局限性.
  • 为舞蹈教育,比赛评分和粉丝参与提供可靠的工具.

主要方法:

  • 提出了具有动态和静态流的变压器卷积神经网络 (TransCNN-DSSS) 模型.
  • 使用变压器和卷积神经网络 (CNN) 架构进行集成的动态和静态流分析.
  • 利用了质量分数解 (QSD) 与注意力机制重量维度,如准确性,流性和表现力.
  • 使用一个分数预测模块 (SPM) 与变压器网络用于最终分数输出.

主要成果:

  • TransCNN-DSSS模型在舞蹈运动质量评估中实现了90%的准确性,89%的回忆,F1得分为0.90.
  • 实验结果证明了模型的有效性和可靠性.
  • 该模型在不同舞蹈风格中表现出良好的概括能力.

结论:

  • 开发的TransCNN-DSSS模型为舞蹈运动质量评估提供了一个客观和自动化的解决方案.
  • 这项研究为改善舞蹈教学,比赛得分和粉丝欣赏提供了宝贵的工具.
  • 该模型的表现证明了其在舞蹈界广泛应用的潜力.