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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

821
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
821
Distributed Loads01:19

Distributed Loads

699
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
699
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

825
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
825
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.7K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.7K
Machines: Problem Solving II01:30

Machines: Problem Solving II

442
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
442
Machines: Problem Solving I01:22

Machines: Problem Solving I

472
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
472

You might also read

Related Articles

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

Sort by
Same author

Panax quinquefolius saponins promote remyelination via orchestrating HMGCS1-NPC1-MAL-mediated lipid metabolism and rebalancing JAK-STAT signaling in a cuprizone-induced demyelination model.

Journal of ethnopharmacology·2026
Same author

RhoMitoAnnotator and Polypods, Bioinformatics Tools for the <i>Rhodiola</i> Mitochondrial Gene Assembly, Annotation and Phylogenetic Analysis.

International journal of molecular sciences·2026
Same author

The role of the <i>MfSWN1</i> in secondary wall growth and development.

Frontiers in plant science·2026
Same author

OGT-mediated O-GlcNAcylation Protects Against Myocardial Ischemia-Reperfusion Injury via Targeting MG53.

Applied biochemistry and biotechnology·2026
Same author

Effects and mechanisms of probiotics supplement on hypertension.

Journal of hypertension·2026
Same author

YY1 nitration participates in DbCM cardiomyocyte lipotoxicity by inhibiting ANXA3-induced microlipophagy.

Redox biology·2026

Related Experiment Video

Updated: Oct 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

796

Self-Adaptive Learning of Task Offloading in Mobile Edge Computing Systems.

Peng Huang1, Minjiang Deng1, Zhiliang Kang1

  • 1College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an 625000, China.

Entropy (Basel, Switzerland)
|September 28, 2021
PubMed
Summary

This study introduces a self-adaptive learning algorithm (SAda) to minimize task offloading delay in mobile edge computing (MEC). SAda efficiently utilizes idle mobile device resources, outperforming existing methods in simulations.

Keywords:
MECresource allocationself-adaptive learningtask offloading

Related Experiment Videos

Last Updated: Oct 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

796

Area of Science:

  • Computer Science
  • Distributed Systems
  • Mobile Computing

Background:

  • Mobile edge computing (MEC) offers low-latency services by moving computation closer to users.
  • Underutilized mobile device resources in urban areas present opportunities for MEC.
  • Spatiotemporal dynamics and resource uncertainty challenge efficient MEC resource allocation.

Purpose of the Study:

  • To minimize average offloading delay in mobile edge computing systems.
  • To address the challenges of dynamic environments and resource uncertainty in MEC.
  • To develop a novel algorithm for task offloading that learns from neighboring devices.

Main Methods:

  • A self-adaptive learning of task offloading algorithm (SAda) was designed.
  • SAda operates in a distributed mode with a perception function for dynamic adaptation.
  • The algorithm learns from neighboring IoT devices for offloading decisions.

Main Results:

  • SAda demonstrated preferable latency performance in simulations.
  • The algorithm achieved low learning error compared to existing methods.
  • SAda effectively adapts to dynamic MEC environments without frequent equipment information access.

Conclusions:

  • SAda is an effective algorithm for minimizing offloading delay in MEC.
  • The distributed and adaptive nature of SAda enhances its applicability in real-world scenarios.
  • Leveraging underutilized mobile resources through adaptive learning offers significant value for MEC systems.