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Radial System Protection01:23

Radial System Protection

148
Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system.
In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
148
Reclosers and Fuses01:26

Reclosers and Fuses

162
Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
A comprehensive protection scheme for radial distribution...
162
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
555
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

134
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.
Under normal conditions, low load currents keep the measured...
134
Rapidly Varying Flow01:24

Rapidly Varying Flow

138
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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Related Experiment Video

Updated: Sep 11, 2025

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

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FFT-RDNet: A Time-Frequency-Domain-Based Intrusion Detection Model for IoT Security.

Bingjie Xiang1, Renguang Zheng2, Kunsan Zhang2

  • 1School of Ocean Informattion Engineering, Jimei University, Xiamen 361000, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
Summary

FFT-RDNet offers an efficient intrusion detection system (IDS) for Internet of Things (IoT) devices. This novel framework enhances security by accurately detecting threats with reduced computational load.

Keywords:
FFTdepthwise separable convolutionhybrid samplinginternet of thingsresidual network

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Area of Science:

  • Cybersecurity
  • Network Security
  • Internet of Things (IoT)

Background:

  • Resource-constrained IoT devices require efficient intrusion detection systems (IDSs) to combat cyber threats.
  • Traditional IDSs face challenges with high computational complexity and limited feature extraction, impacting accuracy in IoT environments.

Purpose of the Study:

  • To develop a lightweight IDS framework, FFT-RDNet, for resource-constrained IoT devices.
  • To improve the accuracy and efficiency of intrusion detection in IoT environments.

Main Methods:

  • Implemented a hybrid ADASYN-Tomek Links strategy for class imbalance.
  • Introduced FFT-RDNet, a novel framework using depthwise separable convolution and Fast Fourier Transform (FFT) for frequency-domain feature fusion.
  • Utilized a dual-path feature embedding module for time and frequency domain analysis, fused into a 2D feature space.

Main Results:

  • FFT-RDNet demonstrated superior performance over state-of-the-art IDSs on NSL-KDD and CIC-IDS2018 datasets.
  • Achieved significant improvements in accuracy, precision, recall, and F1 score (0.22-1%).
  • Showcased superior accuracy with substantially reduced computational complexity.

Conclusions:

  • FFT-RDNet provides an efficient and accurate IDS solution for IoT security.
  • The framework's lightweight design and effective feature extraction make it ideal for resource-constrained IoT deployments.
  • FFT-RDNet effectively addresses the limitations of traditional IDSs in dynamic IoT ecosystems.