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Related Concept Videos

Maximum Power Transfer01:16

Maximum Power Transfer

223
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
223
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Transmission Line Design Considerations01:23

Transmission Line Design Considerations

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Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Reducing Line Loss01:18

Reducing Line Loss

143
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.
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Rate-Determining Steps03:08

Rate-Determining Steps

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Relating Reaction Mechanisms
In a multistep reaction mechanism, one of the elementary steps progresses significantly slower than the others. This slowest step is called the rate-limiting step (or rate-determining step). A reaction cannot proceed faster than its slowest step, and hence, the rate-determining step limits the overall reaction rate.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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LoRa Resource Allocation Algorithm for Higher Data Rates.

Hossein Keshmiri1, Gazi M E Rahman1, Khan A Wahid1

  • 1Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces the LoRa Resource Allocation (LRA) algorithm to boost data rates for long-range LoRa transmissions. The LRA algorithm significantly reduces transmission time and enhances bit rates for applications like image transmission.

Keywords:
LoRa MAC layerLoRa PHYLoRa modulationSF selectionimage transmission

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Area of Science:

  • Wireless Communication
  • Internet of Things (IoT)

Background:

  • LoRa modulation offers long-range, low-data-rate transmission, ideal for IoT sensors.
  • Low data rates limit LoRa's use in high-throughput applications like video surveillance.
  • Transmitting large files over long distances in areas with limited infrastructure is challenging.

Purpose of the Study:

  • To introduce the LoRa Resource Allocation (LRA) algorithm.
  • To address the limitations of low data rates in LoRa technology.
  • To enable parallel transmissions for reduced time and increased bit rate.

Main Methods:

  • Leveraging the quasi-orthogonality of LoRa's Spreading Factors (SFs).
  • Utilizing end devices with dual LoRa transceivers, each on a distinct SF.
  • Experimental analysis focused on image transmission and parameter optimization.

Main Results:

  • Reduced total transmission time (T) by 42.36% and 19.98% for specific SF combinations.
  • Increased bit rate (BR) by 73.5% and 24.97% for the same SF combinations.
  • High-quality image transmission achieved at SNR levels above -5 dB in LoS scenarios.

Conclusions:

  • The LRA algorithm effectively enhances LoRa's throughput for high-bandwidth applications.
  • Parallel transmissions using dual SFs significantly improve efficiency.
  • The LRA algorithm is suitable for long-range, high-throughput communication with reliable image quality.