Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

123
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
123
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

486
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
486
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

421
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
421
Non-uniform Circular Motion01:22

Non-uniform Circular Motion

7.2K
In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such...
7.2K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.2K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.2K
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

388
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
388

You might also read

Related Articles

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

Sort by
Same author

Comprehensive Candidate Gene for Ginsenoside Rg1 Biosynthesis: Identification, Systematic Analysis, and Verification.

Plants (Basel, Switzerland)·2026
Same author

Integrated Metabolomics and Selection Signal Analysis Provide Insights Into the Selection for Flavonol Biosynthesis Associated With Lettuce Quality Improvement.

Plant biotechnology journal·2026
Same author

RNF2 mediates H2A ubiquitination to promote colitis via suppressing monocyte-macrophage transition in mice.

Nature communications·2026
Same author

An interpretable memory forensics framework for unknown attack identification in power grid edge devices.

Scientific reports·2026
Same author

Oil-Water Flow Monitoring in Wellbores with Inflow Control Valves Using Distributed Acoustic Sensing.

Sensors (Basel, Switzerland)·2026
Same author

Betulinic acid mitigates septic cardiomyopathy in mice through modulating the TLR4/MyD88/NF-κB signaling axis and NLRP3 inflammasome pathway.

Histology and histopathology·2026

Related Experiment Video

Updated: Jul 16, 2025

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.6K

Star map matching method for optical circular rotation imaging based on graph neural networks.

Tingting Xu, Xiubin Yang, Zongqiang Fu

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |September 14, 2023
    PubMed
    Summary

    This study introduces a novel dynamic star image acquisition and matching technique for space situational awareness. The method significantly improves the accuracy and precision of identifying resident space objects.

    More Related Videos

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    1.0K
    High-Throughput Analysis of Optical Mapping Data Using ElectroMap
    07:36

    High-Throughput Analysis of Optical Mapping Data Using ElectroMap

    Published on: June 4, 2019

    9.4K

    Related Experiment Videos

    Last Updated: Jul 16, 2025

    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
    06:48

    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

    Published on: May 10, 2020

    3.6K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    1.0K
    High-Throughput Analysis of Optical Mapping Data Using ElectroMap
    07:36

    High-Throughput Analysis of Optical Mapping Data Using ElectroMap

    Published on: June 4, 2019

    9.4K

    Area of Science:

    • Astronomy and Space Science
    • Computer Vision
    • Artificial Intelligence

    Background:

    • Space situational awareness (SSA) is crucial for tracking resident space objects (RSOs).
    • Current methods for RSO detection and tracking face challenges with widely distributed objects.
    • Efficient star image acquisition and matching are vital for robust SSA.

    Purpose of the Study:

    • To develop a dynamic star image acquisition and matching method for rapid RSO searching.
    • To enhance the capabilities of space situational awareness systems.
    • To improve the accuracy and precision of star image matching algorithms.

    Main Methods:

    • An optical circular rotation imaging method using a single space camera to capture sequential star images.
    • An image matching technique leveraging graph neural networks (GNNs) for generating wide-field star images.
    • Comparative analysis against baseline matching algorithms.

    Main Results:

    • The proposed method demonstrates significant improvements in matching accuracy compared to existing algorithms.
    • The technique shows enhanced matching precision, crucial for distinguishing faint or distant RSOs.
    • Successful generation of wide observation star images through advanced GNN-based matching.

    Conclusions:

    • The dynamic star image acquisition and matching method offers a substantial advancement for space situational awareness.
    • The GNN-based approach provides a more accurate and precise solution for identifying resident space objects.
    • This research contributes to more effective and reliable space object tracking and management.