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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

213
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...
213
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

493
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
493
Transformers in Distribution System01:27

Transformers in Distribution System

165
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...
165
Types Of Transformers01:16

Types Of Transformers

1.1K
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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Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

809
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
809
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

7.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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一个频域增强变压器用于夜间对象检测.

Yaru Li1, Li Shen2

  • 1Haide College, Ocean University of China, Qingdao 266100, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

夜间频率检测变压器 (NF-DETR) 通过使用频域信息和物理前增强来增强夜间物体检测. 这种新的框架提高了自动驾驶和监控在低光条件下的性能.

科学领域:

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

背景情况:

  • 夜间的物体检测受到低亮度,噪音和对比度降低的阻碍.
  • 标准检测模型在不利的低光条件下扎,影响安全关键的应用.

研究的目的:

  • 引入NF-DETR (夜间频率检测变压器),这是一个用于强大的夜间物体检测的新型框架.
  • 为了利用频域信息和物理前增强来克服低光挑战.

主要方法:

  • 综合物理前置增强,以改善低光可见性.
  • 频域特征提取以捕获结构信息.
  • 窗口交叉注意力融合为高效的互补功能组合.

主要成果:

  • 与基线相比,NF-DETR-L在BDD100K-Night和City-Night3K基准上取得了显著的改进.
  • 在BDD100K-Night.上表现出高达3.7%的AP@50:95改进.
  • 保持了具有竞争力的推断速度,同时提高了检测准确性.

结论:

  • NF-DETR有效地解决了夜间物体检测方面的挑战.
关键词:
频率域频率域是一个频率域.数学统计的数学统计.在夜间感知知觉.对象检测检测对象检测对象检测窗口的交叉注意力融合融合.

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  • 该框架为自动驾驶和监控系统提供了更强大的解决方案.
  • NF-DETR的每个组件都对整体检测性能作出了积极的贡献.