Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Types Of Transformers

Types Of Transformers

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...

Transformers with Off-Nominal Turns Ratios

Transformers with Off-Nominal Turns Ratios

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...

The Ideal Transformer

The Ideal Transformer

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...

Energy Losses in Transformers

Energy Losses in Transformers

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...

Equivalent Circuits for Practical Transformers

Equivalent Circuits for Practical Transformers

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...

Transformers

Transformers

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Is time in range an independent predictor of early diabetic kidney disease beyond HbA1c?

International urology and nephrology·2026

Same author

Study on the coupling characteristics of different numbers of cavitation bubbles and particle groups in the free domain.

Ultrasonics sonochemistry·2026

Same author

Electroacupuncture inhibited neuronal apoptosis through PGAM5/FUNDC1-dependent mitophagy after ischemic stroke.

Chinese medicine·2026

Same author

Synergistic Etching-Complexation Surface Reconstruction Induced by Dual Organic Acids toward High-Performance Lithium-Rich Manganese-Based Cathodes.

ACS applied materials & interfaces·2026

Same author

Experimental Study on the Temperature Characteristics of Cryogenic Hydrogen Jet Flames.

ACS omega·2026

Same author

On the Two Facets to Conquer Wild Out-of-Distribution Detection.

IEEE transactions on pattern analysis and machine intelligence·2026

Search research articles

Related Experiment Video

Updated: Jul 12, 2025

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

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

Published on: April 21, 2023

Contrastive Transformer Hashing for Compact Video Representation.

Xiaobo Shen, Yue Zhou, Yun-Hao Yuan

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|October 30, 2023

Summary

Contrastive Transformer Hashing (CTH) enhances unsupervised video retrieval by learning compact representations. This method effectively captures temporal and spatial structures, outperforming existing video hashing techniques.

More Related Videos

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Related Experiment Videos

Last Updated: Jul 12, 2025

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

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

Published on: April 21, 2023

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

Computer Science
Artificial Intelligence
Machine Learning

Background:

Video hashing enables efficient large-scale video retrieval by creating compact representations in Hamming space.
Exploiting temporal and spatial structures in unsupervised video retrieval remains a significant challenge.

Purpose of the Study:

To propose Contrastive Transformer Hashing (CTH), an effective unsupervised method for video retrieval.
To address the limitations of existing methods in capturing complex video structures.

Main Methods:

Developed a bidirectional transformer autoencoder for visual reconstruction, capturing frame correlations effectively.
Devised a multi-modality contrastive loss to simultaneously exploit inter-modality and intra-modality similarities.
Constructed inter-modality and intra-modality triplet sets for enhanced structural learning.

Main Results:

CTH demonstrated superior performance in video retrieval tasks on benchmark datasets (UCF101, HMDB51, SVW30, FCVID).
The learned compact hash representations significantly improved retrieval accuracy.
Empirical results confirmed CTH's advantage over state-of-the-art video hashing methods.

Conclusions:

CTH offers a powerful approach for unsupervised video retrieval by effectively leveraging temporal and spatial information.
The proposed method advances the field of video hashing and large-scale video retrieval.