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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.
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Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
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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...
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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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Sensors (Basel, Switzerland)ยท2021
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Related Experiment Video

Updated: Dec 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

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Attack Detection Using Network Coding in IoT Environment.

Yong Lee1, Goo Yeon Lee2

  • 1Independent Researcher, Chuncheon 24341, Korea.

Sensors (Basel, Switzerland)
|February 27, 2020
PubMed
Summary

Network coding enhances Internet of Things (IoT) efficiency. This study introduces a method to detect malicious packets and recover original data, even with compromised network coding transmissions.

Keywords:
Internet of Thingsattack detectionnetwork codingrecovery

Related Experiment Videos

Last Updated: Dec 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

1.0K

Area of Science:

  • Computer Science
  • Information Technology

Background:

  • Network coding boosts efficiency in the Internet of Things (IoT) by enabling intermediate nodes to combine and transmit packets.
  • Security is a concern, as malicious nodes can inject fabricated packets, complicating data authenticity verification.

Purpose of the Study:

  • To propose a novel scheme for detecting attacked packets within network coding systems.
  • To enable the recovery of original messages even when attacked packets are present.

Main Methods:

  • Developing a detection mechanism for identifying malicious, fabricated encoded packets at the destination node.
  • Implementing a data recovery process that utilizes received packets, including those identified as attacked.

Main Results:

  • The proposed scheme effectively detects attacked packets in network coding.
  • Successful recovery of the original message is demonstrated, even with the inclusion of "look-alike-valid" attacked packets.
  • The method shows efficient performance in network coding scenarios.

Conclusions:

  • The developed scheme enhances the security and reliability of network coding in IoT environments.
  • It provides a robust solution for data recovery in the presence of malicious attacks.
  • This approach contributes to more trustworthy and efficient IoT networks.