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

Network Function of a Circuit01:25

Network Function of a Circuit

963
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
963
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

790
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
790
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

542
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...
542
Power System Distribution01:25

Power System Distribution

1.1K
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
1.1K
Directional Relays01:25

Directional Relays

654
Directional relays, essential for managing unidirectional fault currents, enhance the safety and efficiency of power systems. On power lines equipped with directional relays, faults downstream (to the right) of the current transformer typically cause the fault current to lag the bus voltage by approximately 90 degrees, known as the forward direction. In contrast, upstream (left-side) faults may result in the fault current leading the bus voltage by nearly 90 degrees, termed the reverse...
654
Differential Relays01:20

Differential Relays

842
Differential relays are used to protect generators, buses, and transformers by comparing electrical quantities at different points. When a fault occurs, the difference in current between the two points triggers the relay to operate, opening the circuit breaker. Under normal conditions, the current entering (i1) and leaving (i2) a generator are equal. When a fault occurs, however, these currents become unequal, and the difference current flows in the relay operating coil, causing the relay to...
842

You might also read

Related Articles

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

Sort by
Same author

Impact of Gyroscope Integration, Sensor Placement, and Activity Granularity on Human Activity Recognition Performance.

Sensors (Basel, Switzerland)·2026
Same author

Further Methodological and Clinical Reflections-Reply.

JAMA otolaryngology-- head & neck surgery·2026
Same author

A multicentre case-control study about effectiveness of pneumococcal vaccination against pneumonia hospitalization in at-risk adults.

Pneumonia (Nathan Qld.)·2026
Same author

Encounter tool for Shared Decision Making about Adjuvant Treatment of Lung Cancer: Randomized Clinical Trial.

Research square·2026
Same author

Comparative effectiveness of sulfonylureas on kidney outcomes in adults with type 2 diabetes and moderate cardiovascular risk: a target trial emulation.

BMJ open diabetes research & care·2026
Same author

Comparative Effectiveness of Individual Sodium Glucose Transporter 2 Inhibitors on Cardiovascular Outcomes in Type 2 Diabetes With Moderate Cardiovascular Risk: Emulation of a Target Trial.

Journal of the American Heart Association·2026

Related Experiment Video

Updated: Feb 28, 2026

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

1.2K

Switching Coordinator: An SDN Application for Flexible QKD Networks.

Rubén B Méndez1, Hans H Brunner2, Juan P Brito1,3

  • 1Center for Computational Simulation, Universidad Politécnica de Madrid, 28660 Madrid, Spain.

Entropy (Basel, Switzerland)
|February 27, 2026
PubMed
Summary

A new framework enhances quantum-key-distribution (QKD) networks with switching capabilities. It enables software-defined networking applications to optimize cryptographic resource allocation for improved performance and resilience.

Keywords:
QKDQKD networksSDNnetwork reconfigurationswitched QKD

More Related Videos

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.2K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.6K

Related Experiment Videos

Last Updated: Feb 28, 2026

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

1.2K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.2K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.6K

Area of Science:

  • Quantum Information Science
  • Network Engineering
  • Cybersecurity

Background:

  • Quantum Key Distribution (QKD) networks offer enhanced security but require sophisticated management.
  • Integrating switching capabilities into QKD networks presents challenges in real-time monitoring and control.
  • Dynamic adaptation to network demands is crucial for efficient QKD resource utilization.

Purpose of the Study:

  • To develop a monitor and control framework for switched QKD networks.
  • To enable Software-Defined Networking (SDN) applications to manage QKD resources dynamically.
  • To demonstrate efficient, policy-driven operation of QKD networks through centralized control and optimization.

Main Methods:

  • Development of a framework providing real-time visibility into QKD network operational metrics.
  • Extraction of key data including switching capabilities, buffer queue status, and key generation/consumption rates.
  • Integration with SDN applications for dynamic network configuration and resource allocation.

Main Results:

  • Real-time monitoring of QKD network performance metrics.
  • Dynamic adaptation of network configuration based on operational data and policies.
  • Efficient allocation of cryptographic resources to maximize performance and resilience.

Conclusions:

  • A combined approach of switched QKD, centralized control, and SDN enables efficient policy-driven QKD network operation.
  • The framework facilitates dynamic adaptation to network demands, such as prioritizing critical paths and responding to failures.
  • Optimized allocation of cryptographic resources ensures network resilience and alignment with administrative policies.