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

Design Example: Underdamped Parallel RLC Circuit01:17

Design Example: Underdamped Parallel RLC Circuit

653
Consider designing an oscillator circuit, a crucial component in various electronic devices and systems. The objective is to create an oscillator circuit with specific characteristics: a damped natural frequency of 4 kHz and a damping factor of 4 radians per second. To accomplish this, a parallel RLC circuit is employed, known for its ability to sustain oscillations at a resonant frequency. In this case, the damping factor is pivotal in achieving the desired performance.
Starting with a fixed...
653
Parallel Resonance01:23

Parallel Resonance

556
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
556
Parallel Processing01:20

Parallel Processing

708
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
708
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

404
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
404
Resistors In Parallel01:23

Resistors In Parallel

6.1K
Resistors are in parallel when one end of all the resistors are connected to a continuous wire of negligible resistance and the other end of all the resistors are also connected to one another through a continuous wire of negligible resistance. In the case of a parallel configuration, the potential drop across each resistor is the same. Current through each resistor can be found using Ohm’s law, I = V/R, where the voltage is constant across each resistor. The sum of the individual currents...
6.1K
Group Design02:01

Group Design

10.4K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.4K

You might also read

Related Articles

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

Sort by
Same author

Protonation-Gated Hydrogen Evolution Enabled by Pyridinic Nitrogen on Graphene Edges.

Nano letters·2026
Same author

Genetic characteristics and agronomic traits in leafy head Chinese cabbage breeding.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same author

Corrigendum to "Redox-dependent suppression of ATF3 impairs steroid sensitivity in asthma through MKP-1/p38 MAPK signaling" [Free Radic. Biol. Med. 243 (2026) 1-15].

Free radical biology & medicine·2026
Same author

Superior longitudinal strength of auxetic stents: A comparative numerical study.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine·2026
Same author

Mechanical Behavior of Valve Stents in Diverse Bicuspid Aortic Valves: Influence of Structural Design and Annular Eccentricity.

Cardiovascular engineering and technology·2026
Same author

Feasibility and safety of "filter-thrombus integrated retrieval technique" based on controlled deformation of spindle shaped IVC filters for complex IVC filter retrieval.

Frontiers in radiology·2026

Related Experiment Video

Updated: Jan 30, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
07:24

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Published on: April 14, 2020

18.5K

Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral

Jianwei Gao1, Yi Sun2, Bing Zhang3,4

  • 1Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing 100094, China. gaojw@radi.ac.cn.

Sensors (Basel, Switzerland)
|February 3, 2019
PubMed
Summary

This study introduces a parallel design for Ant Colony Optimization for Endmember Extraction (ACOEE) using multiple GPUs. This approach significantly improves computational performance for hyperspectral image analysis.

Keywords:
ant colony optimization (ACO)endmember extractionhyperspectral imagesmulti-GPUparallel computing

More Related Videos

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.8K
Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K

Related Experiment Videos

Last Updated: Jan 30, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
07:24

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Published on: April 14, 2020

18.5K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.8K
Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K

Area of Science:

  • Remote Sensing
  • Image Processing
  • Computational Intelligence

Background:

  • Spectral unmixing is crucial for hyperspectral remote sensing.
  • Endmember extraction is a critical step in spectral unmixing.
  • Ant Colony Optimization for Endmember Extraction (ACOEE) offers accurate results but suffers from high computational complexity.

Purpose of the Study:

  • To enhance the computational performance of ACOEE for hyperspectral data analysis.
  • To adapt ACOEE for efficient execution on multi-GPU systems.
  • To overcome the limitations of high computational complexity in existing ACOEE algorithms.

Main Methods:

  • Proposed a multiple sub-ant-colony-based parallel design for ACOEE.
  • Implemented an innovative local pheromone mechanism for sub-ant-colonies.
  • Optimized ACOEE for multi-GPU parallel computing to minimize synchronization overhead.

Main Results:

  • The proposed parallel ACOEE design significantly improved computational performance.
  • Experiments on real hyperspectral datasets validated the effectiveness of the method.
  • The multi-GPU implementation achieved substantial speedups without compromising accuracy.

Conclusions:

  • The developed parallel ACOEE method effectively addresses the computational challenges of hyperspectral image analysis.
  • The local pheromone mechanism facilitates efficient parallel execution on multi-GPU systems.
  • This approach enables faster and more scalable endmember extraction for hyperspectral data exploitation.