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

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...

You might also read

Related Articles

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

Sort by

Same author

Health risk assessment and oxidative potential prediction based on atmospheric PM<sub>2.5</sub> and associated metals in metro stations.

Environmental science. Processes & impacts·2026

Same author

Dry Mixing Process Optimization of High-Viscosity Permeable Asphalt Mixtures Using the Response Surface Methodology (RSM) and Investigation of the Mixing Mechanism.

Materials (Basel, Switzerland)·2026

Same author

Correction: Highly stable bidentate thiol-protected Ag<sub>5</sub>Cu<sub>4</sub> nanoclusters: a stable catalyst for enhanced Knoevenagel condensation.

Chemical communications (Cambridge, England)·2026

Same author

Deep learning based automated assessment of end-inspiratory pause maneuver reliability in invasive mechanical ventilation.

Physiological measurement·2026

Same author

Combining visual motion and luminance features to enhance the detection of small moving objects in a bioinspired model.

PLoS computational biology·2026

Same author

Sex differences in the association between red cell distribution width and 30-day mortality in critically ill patients with acute cholangitis: a retrospective cohort study.

BMC gastroenterology·2025

Search research articles

Related Experiment Video

Updated: May 25, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Reynolds rules in swarm fly behavior based on KAN transformer tracking method.

Qi Yang¹, Jiajun Ji¹, Ruomiao Jing¹

¹School of Life Sciences, Shanghai University, Shanghai, 200444, China.

Scientific Reports

|February 26, 2025

Summary

Tracking fruit fly swarms is hard due to fast movements. Our new method uses a particle filter and KAN-Transformer to accurately track insects and reveals flocking rules.

More Related Videos

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Published on: September 2, 2016

Operant Learning of Drosophila at the Torque Meter

Operant Learning of Drosophila at the Torque Meter

Published on: June 16, 2008

Related Experiment Videos

Last Updated: May 25, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

Published on: September 2, 2016

Operant Learning of Drosophila at the Torque Meter

Operant Learning of Drosophila at the Torque Meter

Published on: June 16, 2008

Area of Science:

Computational Biology
Ethology
Computer Vision

Background:

Analyzing insect flight patterns and collective behaviors is crucial in biology and computation.
Tracking insects like fruit flies is challenging due to their speed and occlusions in dense groups.

Purpose of the Study:

To develop a robust insect tracking method for complex swarming behaviors.
To extract both global and fine-grained trajectory features for improved accuracy.

Main Methods:

Utilized a particle filter framework combined with a Kolmogorov-Arnold Network (KAN)-Transformer model.
Developed manually annotated ground truth datasets for rigorous evaluation.
Applied the method to track fruit fly swarms.

Main Results:

The proposed tracking method demonstrated high effectiveness and robustness.
Successfully extracted global and fine-grained trajectory features.
Tracked trajectories allowed for the analysis of insect flocking behavior.

Conclusions:

The KAN-Transformer enhanced particle filter is a powerful tool for insect swarm tracking.
The method provides insights into the underlying rules governing collective animal movement.
This work contributes to understanding complex biological systems through advanced computational approaches.