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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

97
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...
97
Discrete Fourier Transform01:15

Discrete Fourier Transform

193
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
193
Types Of Transformers01:16

Types Of Transformers

934
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...
934
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

122
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...
122
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

657
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
657
Instrument Transformers01:23

Instrument Transformers

59
Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
59

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相关实验视频

Updated: May 14, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
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SF-DETR:用于无人机视图对象检测的尺度频率检测变压器.

Haotong Wang1, Junwei Gao1

  • 1The School of Automation Engineering, Qingdao University, Qingdao 266071, China.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了尺度频率检测变压器 (SF-DETR),这是无人机物体检测的新框架. SF-DETR有效地处理微小的物体和尺寸变化,优于现有的方法.

关键词:
深度学习是一种深度学习.无人机视图对象检测对象检测多个尺度的功能增强功能增强.视觉变压器 视觉变压器

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 基于无人机的物体检测面临着微小物体,复杂的背景和尺度变化的挑战.
  • 当前的方法在解决这些无人机视图复杂性时,往往缺乏计算效率.

研究的目的:

  • 开发一种全新的端到端框架,即尺度频率检测变压器 (SF-DETR),用于改进基于无人机的物体检测.
  • 为了应对诸如微小物体,尺度变化和空中图像中的特征细节损失等挑战.

主要方法:

  • 拟议的SF-DETR框架具有轻量级的ScaleFormerNet骨干.
  • 集成的双尺度视觉转换器模块和双边交互功能增强模块.
  • 使用多尺度频率融合特征增强网络来实现强大的特征表示.

主要成果:

  • 在VisDrone2019数据集上,SF-DETR实现了51.0%的mAP50和31.8%的mAP50:95.
  • 在关键指标上,其表现优于最先进的YOLOv9m 6.2%和RTDETR-r18 4.0%.
  • 在HIT-UAV数据集上表现出强大的概括能力.

结论:

  • SF-DETR为无人机视图对象检测性能建立了一个新的基准.
  • 轻量级的架构适合在嵌入式设备上进行现实世界的空中监视.