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

100
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...
100
Types Of Transformers01:16

Types Of Transformers

965
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...
965
The Ideal Transformer01:26

The Ideal Transformer

374
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...
374
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

149
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...
149
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

625
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
625
Energy Losses in Transformers01:21

Energy Losses in Transformers

860
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...
860

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

Respiratory motion augmentation for personalized super-resolution (RMApSR) of 3D cine MR images in MRI-guided radiotherapy.

Medical image analysis·2026
Same author

Auto-segmentation of organs-of-interest clinical acceptability & reproducibility framework in head and neck cancer.

Physics and imaging in radiation oncology·2026
Same author

Corrigendum to "A phase II clinical trial of paclitaxel-carboplatin as neoadjuvant therapy followed by surgery in patients with locally advanced head and neck squamous cell carcinoma" [Oral Oncol. 170 (2025) 107745].

Oral oncology·2026
Same author

AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset Grounding.

IEEE journal of biomedical and health informatics·2026
Same author

Integrated CT-based assessment of muscle and adiposity for risk stratification in advanced pancreatobiliary cancer.

Frontiers in nutrition·2026
Same author

Patterns of Failure in Synchronous Metastatic Non-Small Cell Lung Cancer Without Driver Alterations According to Metastatic Burden.

Cancers·2026

相关实验视频

Updated: Jun 21, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.8K

MS-DINO:使用视觉转换器进行蒙面自主监督分布式学习.

Sangjoon Park, Ik Jae Lee, Jun Won Kim

    IEEE journal of biomedical and health informatics
    |July 5, 2024
    PubMed
    概括
    此摘要是机器生成的。

    我们介绍MS-DINO,这是视觉转换器的新型自主监督学习方法,增强隐私并减少分布式医疗AI中的计算负载,而无需持续通信.

    更多相关视频

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    385
    Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
    07:11

    Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

    Published on: December 8, 2023

    1.5K

    相关实验视频

    Last Updated: Jun 21, 2025

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    1.8K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    385
    Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
    07:11

    Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

    Published on: December 8, 2023

    1.5K

    科学领域:

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

    背景情况:

    • 医学领域的深度学习面临着数据稀缺和隐私问题.
    • 联合学习提供分布式解决方案,但具有通信/计算开销和隐私风险.

    研究的目的:

    • 为视觉转换器提出一种新的自我监督的分布式学习技术.
    • 解决医疗AI中的通信开销,隐私漏洞和计算负担.

    主要方法:

    • 开发了MS-DINO,一种自我监督的蒙面采样蒸技术.
    • 为视觉变压器架构量身定制的MS-DINO.
    • 整合了一个修改后的加密机制,以加强隐私.

    主要成果:

    • MS-DINO 消除了对不间断沟通的需要.
    • 该方法加强了隐私保护措施.
    • 显著超过现有的自我监督的分布式学习策略和微调的基线.

    结论:

    • MS-DINO为医疗AI提供了一种高效和私人自我监督的分布式学习方法.
    • 这种技术对于视觉变压器模型特别有效.
    • 为医学深度学习中的数据稀缺性和隐私问题提供了可行的解决方案.