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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

402
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
402
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

937
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...
937
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.5K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.5K
Multimachine Stability01:25

Multimachine Stability

336
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
336
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.0K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.0K
Reducing Line Loss01:18

Reducing Line Loss

264
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
264

You might also read

Related Articles

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

Sort by
Same author

Functional characterization and evolutionary insights into β-carboline O-methyltransferases in Peganum multisectum.

The Plant journal : for cell and molecular biology·2026
Same author

Macrophage polarization in ischemia-reperfusion injury: from molecular mechanisms to therapeutic strategies.

Frontiers in immunology·2026
Same author

Surface-confined CRISPR-Cas12a biosensor with metal-enhanced fluorescence for rapid and ultrasensitive detection of SARS-CoV-2 nucleocapsid protein.

Biosensors & bioelectronics·2026
Same author

Iodine-125 brachytherapy triggers immunogenic cell death and potentiates anti-PD-L1 immunotherapy in bone metastatic triple-negative breast cancer.

Frontiers in immunology·2026
Same author

Early CD201-high cancer-associated fibroblasts shape immunosuppression and suggest a therapeutic opportunity in triple-negative breast cancer.

International immunopharmacology·2026
Same author

Case Report: Anlotinib combined with radiotherapy achieves sustained disease control in advanced malignant melanotic nerve sheath tumor.

Frontiers in oncology·2026

Related Experiment Video

Updated: Nov 27, 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

952

Dynamic Virtual Network Reconfiguration Method for Hybrid Multiple Failures Based on Weighted Relative Entropy.

Yuze Su1, Xiangru Meng1, Qiaoyan Kang1

  • 1College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

This study addresses virtual network survivability against hybrid failures. A novel heuristic algorithm improves recovery, enhancing acceptance and operation ratios for robust network management.

Keywords:
hybrid multiple failuresreconfigurationsurvivabilityvirtual networkweighted relative entropy

Related Experiment Videos

Last Updated: Nov 27, 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

952

Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Network virtualization enhances flexibility and manageability for next-generation networks.
  • Ensuring virtual network survivability against hybrid multiple failures is a critical challenge in military and commercial deployments.

Purpose of the Study:

  • To study the problem of recovering virtual networks affected by hybrid multiple failures in substrate networks.
  • To develop a heuristic algorithm for efficient virtual network recovery.

Main Methods:

  • An integer linear programming formulation was developed to model the recovery problem.
  • A heuristic algorithm was proposed, incorporating a faulty virtual network reconfiguration ranking method based on weighted relative entropy, a hybrid multiple failures ranking algorithm, and a virtual node migration method based on weighted relative entropy.
  • The methods involve combining multiple ranking indicators using weighted relative entropy and re-embedding virtual nodes and links.

Main Results:

  • The proposed heuristic method demonstrated the best acceptance ratio and normal operation ratio.
  • The heuristic method achieved the highest long-term average revenue to cost ratio compared to other virtual network reconfiguration methods.
  • Evaluation results confirm the effectiveness of the heuristic approach in virtual network recovery.

Conclusions:

  • The developed heuristic algorithm effectively tackles the complexity of virtual network recovery from hybrid failures.
  • The weighted relative entropy-based methods provide a robust approach for ranking and migration in network reconfiguration.
  • The findings contribute to improving the survivability and economic efficiency of virtualized networks.