Jove
Visualize
Contact Us

Related Concept Videos

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

577
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
577
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

434
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
434
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

368
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...
368

You might also read

Related Articles

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

Sort by
Same author

Retraction Note: Heterozygous deletion of chromosome 17p renders prostate cancer vulnerable to inhibition of RNA polymerase II.

Nature communications·2026
Same author

Sinomenine Regulates the TRIM32/IRF1/TRAF6 Axis to Inhibit Pyroptosis in Atopic Dermatitis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

Establishment and application of a rapid and visual detection method for <i>Mycoplasma pneumoniae</i> using enzymatic recombinase amplification combined with lateral flow dipstick.

Biosafety and health·2026
Same author

Atomically dispersed Ce species adjacent to Ni nanoparticles as hydrogen scavengers for efficient catalytic ammonia decomposition.

Nature communications·2026
Same author

A Lithium Superionic Conductor Softened by Nonmetal-Chlorine Chemical Bonds.

Journal of the American Chemical Society·2026
Same author

Retraction Note: Targeting 17q23 amplicon to overcome the resistance to anti-HER2 therapy in HER2+ breast cancer.

Nature communications·2026
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 Experiment Video

Updated: May 8, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.1K

An Improved Spider Wasp Optimizer for UAV Three-Dimensional Path Planning.

Haijun Liang1, Wenhai Hu1, Lifei Wang1

  • 1Air Traffic Management Institute, Civil Aviation Flight University of China, Deyang 618307, China.

Biomimetics (Basel, Switzerland)
|December 27, 2024
PubMed
Summary
This summary is machine-generated.

The Improved Spider Wasp Optimizer (ISWO) enhances UAV path planning by improving convergence speed and optimizing obstacle-avoiding flight paths in complex terrains. This novel algorithm ensures efficient and reliable solutions with fewer iterations.

Keywords:
Improved Spider Wasp Optimizer (ISWO)Spider Wasp Optimizer (SWO)mathematical modeloptimal pathpath planningterrain mappingunmanned aircraft

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.2K
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

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

Published on: December 25, 2017

8.1K

Related Experiment Videos

Last Updated: May 8, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.1K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.2K
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

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

Published on: December 25, 2017

8.1K

Area of Science:

  • Optimization Algorithms
  • Artificial Intelligence
  • Robotics

Background:

  • Traditional optimization algorithms like the Spider Wasp Optimizer (SWO) face challenges with population calculation inaccuracies and premature convergence.
  • Existing methods often exhibit insufficient local search capabilities, limiting their effectiveness in complex environments.

Purpose of the Study:

  • To propose an Improved Spider Wasp Optimizer (ISWO) for enhanced computational efficiency and solution quality in optimization problems.
  • To develop an optimized mathematical model for Unmanned Aerial Vehicle (UAV) obstacle-avoiding flight in mountainous terrains.

Main Methods:

  • The ISWO algorithm innovates the population iteration formula, integrating Differential Evolution (DE) and Crayfish Optimization Algorithm (COA) with an opposition-based learning (OBL) strategy.
  • Adaptive parameters, including trade-off probability (TR) and crossover probability (Cr), are dynamically updated to balance exploration and exploitation.
  • Lévy flights, DE's mutation/crossover, and COA's adaptive mechanisms are employed for position optimization, with OBL applied periodically to maintain population diversity.

Main Results:

  • ISWO demonstrated accelerated convergence and improved population diversity compared to traditional methods.
  • The algorithm successfully generated high-quality, smooth UAV flight paths with minimal cost in a complex mountainous environment.
  • Performance was validated using the 2017 test set and a Gaussian function model under constrained conditions.

Conclusions:

  • The ISWO algorithm provides an efficient and reliable solution for UAV path planning, overcoming limitations of premature convergence and insufficient local search.
  • ISWO effectively adapts to complex terrains, generating optimal, smooth flight paths with reduced computational effort.
  • The proposed method offers a significant advancement in applying metaheuristic optimization to real-world problems like autonomous flight.