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Related Concept Videos

Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
579
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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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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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Short-distance Transport of Resources02:12

Short-distance Transport of Resources

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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

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The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
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Maximum Power Transfer01:16

Maximum Power Transfer

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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...
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Related Experiment Video

Updated: Aug 17, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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Energy-efficient workload allocation in edge-cloud fiber-wireless networks.

Shoucui Wang, Bowen Chen, Ruixin Liang

    Optics Express
    |December 16, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an energy-efficient workload allocation (EEWA) scheme for edge-cloud networks. The EEWA scheme significantly reduces energy consumption and task blocking probability in green computing environments.

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    Area of Science:

    • Computer Science
    • Network Engineering
    • Green Computing

    Background:

    • Edge-cloud fiber-wireless networks are crucial for green computing.
    • Reducing network energy consumption requires effective server cooperation.

    Purpose of the Study:

    • To propose an energy-efficient workload allocation (EEWA) scheme.
    • To enhance energy efficiency in edge-cloud fiber-wireless networks.

    Main Methods:

    • Developed and implemented the EEWA scheme.
    • Verified feasibility on a Software-Defined Networking (SDN) testbed.
    • Conducted simulations for optimal task request management.

    Main Results:

    • The EEWA scheme demonstrated significant reductions in blocking probability.
    • Average energy consumption for task requests was substantially decreased.
    • Feasibility was confirmed through practical testbed implementation and simulations.

    Conclusions:

    • The proposed EEWA scheme effectively improves energy efficiency in edge-cloud networks.
    • EEWA contributes to greener computing by optimizing resource allocation.
    • The scheme offers a viable solution for managing workloads in complex network architectures.