Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

123
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...
123
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...
1.0K
Instrument Transformers01:23

Instrument Transformers

106
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...
106
The Ideal Transformer01:26

The Ideal Transformer

423
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...
423
Properties of the z-Transform I01:17

Properties of the z-Transform I

219
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
219
Energy Losses in Transformers01:21

Energy Losses in Transformers

901
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
901

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study.

JMIR dermatology·2026
Same author

Automatic sleep scoring for real-time monitoring and stimulation in individuals with and without sleep apnea.

Computers in biology and medicine·2026
Same author

Automated overview of complete endoscopies with unsupervised learned descriptors.

International journal of computer assisted radiology and surgery·2025
Same author

Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation.

International journal of computer assisted radiology and surgery·2025
Same author

The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2024
Same author

Endomapper dataset of complete calibrated endoscopy procedures.

Scientific data·2023
Same journal

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 2025

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

12.7K

事件变压器 +. 一个多用途的解决方案,用于有效的事件数据处理.

Alberto Sabater, Luis Montesano, Ana C Murillo

    IEEE transactions on pattern analysis and machine intelligence
    |September 1, 2023
    PubMed
    概括
    此摘要是机器生成的。

    事件变压器+增强了AR/VR和自动驾驶的事件摄像头数据处理. 这种高效,事件意识的方法可以在最小的计算资源下实现最先进的准确性.

    更多相关视频

    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
    07:19

    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

    Published on: June 28, 2017

    10.3K
    AC-DC Electropenetrography for the Study of Probing and Ingestion Behaviors of Culex tarsalis Mosquitoes on Human Hands
    07:42

    AC-DC Electropenetrography for the Study of Probing and Ingestion Behaviors of Culex tarsalis Mosquitoes on Human Hands

    Published on: November 29, 2024

    407

    相关实验视频

    Last Updated: Jul 17, 2025

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
    08:33

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

    Published on: April 16, 2010

    12.7K
    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
    07:19

    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

    Published on: June 28, 2017

    10.3K
    AC-DC Electropenetrography for the Study of Probing and Ingestion Behaviors of Culex tarsalis Mosquitoes on Human Hands
    07:42

    AC-DC Electropenetrography for the Study of Probing and Ingestion Behaviors of Culex tarsalis Mosquitoes on Human Hands

    Published on: November 29, 2024

    407

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器人技术 机器人技术 机器人技术
    • 机器学习 机器学习

    背景情况:

    • 事件摄像机提供高时间分辨率和动态范围,非常适合稀疏的数据捕获.
    • 现有的方法要么是计算上昂贵的通用算法,要么是不太准确的事件意识方法.
    • 事件摄像机越来越多地被采用在AR/VR和自动驾驶中,这是由于低功耗和稀少的数据.

    研究的目的:

    • 为事件摄像头数据开发一种高效准确的事件意识处理方法.
    • 通过完善事件数据表示和骨干架构来改进开创性的EvT (事件转换器) 工作.
    • 证明系统在不同数据模式和任务 (如动作识别和深度估计) 中的多功能性.

    主要方法:

    • 事件转换器+使用了精致的基于补丁的事件表示.
    • 使用更强大的骨干架构来增强处理能力.
    • 该方法利用事件数据固有的稀疏性来提高效率.

    主要成果:

    • 事件变压器+在事件摄像头数据处理方面实现了最先进的性能.
    • 与现有方法相比,该系统的准确性更高.
    • 需要最小的计算资源,在GPU和CPU上显示效率.

    结论:

    • 事件变压器+在处理事件摄像头数据方面取得了重大进展.
    • 拟议的方法提供了一个计算效率高和高度准确的解决方案.
    • 该系统对各种数据模式和任务的适应性突出显示了其广泛的适用性.