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相关概念视频

Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

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It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
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Types Of Transformers01:16

Types Of Transformers

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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
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Transformers01:26

Transformers

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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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...
176
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129
Cartesian Form for Vector Formulation01:26

Cartesian Form for Vector Formulation

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The Cartesian form for vector formulation is a process to calculate  the moment of force using the position and force vectors. The moment of force is defined as the cross-product of these vectors, making it a vector quantity. The Cartesian form of the position and force vectors involves unit vectors, which can be used to express the cross-product in determinant form.
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VTAE:变化变压器自编码器与多元组学习.

Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou

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    概括
    此摘要是机器生成的。

    本研究引入了一个变量空间变压器自编码器 (VTAE),以改进深度生成模型. 通过将里曼的多元体上的地质测量最小化,它增强了表示学习和数据插值,以获得更好的计算机视觉任务性能.

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    科学领域:

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 深度生成模型使用隐性变量和非线性生成器来学习数据分布.
    • 非线性生成器往往导致不良的潜空间投影和弱的表示学习.
    • 里曼的指标可以通过改进对多元体的数据表示来解决这些投影问题.

    研究的目的:

    • 提出一个变量空间转换器自动编码器 (VTAE),用于在深度生成模型中增强表示学习.
    • 通过在里曼的多重体上最小化地质测量来提高数据样本之间的插值的准确性.
    • 与现有的线性方法相比,实现更平滑,更合理的插入.

    主要方法:

    • 开发了一个变量空间变压器自编码器 (VTAE),将空间变压器集成到变量自编码器框架中.
    • 在里曼的多元体上使用地质计算来建模隐性变量和数据分布.
    • 介绍了一种用于隐性空间穿越的新型地质间波网络.

    主要成果:

    • VTAE模型通过明确地将数据映射到里曼的多元体上,证明了更好的表示学习.
    • 地测插值导致了潜伏表示之间的更平滑和更合理的过渡.
    • 实验表明,计算机视觉任务的预测准确性和多功能性提高了,例如图像插值和重建.

    结论:

    • 在里曼的多元体上最小化地质测量显著提高了深度生成模型的性能.
    • 拟议的VTAE带有地测插入,为表示学习和数据操纵提供了一种优越的方法.
    • 这种方法在各种计算机视觉应用中提升了生成模型的功能.