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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

176
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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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 in Distribution System01:27

Transformers in Distribution System

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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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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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Types Of Transformers01:16

Types Of Transformers

1.0K
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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Transformation01:26

Transformation

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Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
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粗细的多场景呈现回归与变压器.

Yoli Shavit, Ron Ferens, Yosi Keller

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    此摘要是机器生成的。

    本研究介绍了一种基于变压器的方法,用于多场景绝对摄像头姿势回归,通过专注于一般特征和实现并行场景嵌入来提高定位准确性.

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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
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 绝对摄像头姿势回归估计摄像头的位置和方向从图像.
    • 目前的方法通常在单个场景中进行训练,或者使用完全连接的层来进行多场景的学习.
    • 变形机提供了一种新的方法来聚合图像特征和场景嵌入.

    研究的目的:

    • 为多场景绝对相机姿势回归开发基于变压器的模型.
    • 通过专注于可概括的特征来提高本地化准确性.
    • 为了使多个场景的并行处理能够有效地估计姿势.

    主要方法:

    • 使用变压器编码器进行基于自我注意的激活地图聚合.
    • 使用变压器解码器将隐藏的特征和场景编码转换为姿势预测.
    • 引入混合分类回归架构以完善本地化准确性.

    主要成果:

    • 拟议的变压器模型有效地学习并行嵌入多个场景.
    • 混合分类回归方法显著提高了定位准确性.
    • 该方法在基准数据集上优于现有的多场景和最先进的单场景姿势回归器.

    结论:

    • 基于变压器的架构非常适合多场景绝对相机姿势回归.
    • 这种新的方法与以前的方法相比,实现了更高的性能.
    • 这项工作推进了摄像头定位领域,提高了准确性和效率.