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相关概念视频

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...
626
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...
743
Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Maximum Size of Aggregate01:12

Maximum Size of Aggregate

240
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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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...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在集中式RAN中,深度加强了对流量有意识的CPU分配.

Sanguk Jeong1,2, Syed M Raza3, Huigyu Yang4

  • 1R&D Team, Networks, Samsung Electronics, Suwon, South Korea.

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本研究介绍了深度增强CPU分配 (DRCA) 用于基带单元 (BBU) 的动态CPU调度,以提高无线电接入网络 (RAN) 的性能. DRCA 提高了蜂网络中的数据包处理吞吐量和无线电资源利用率.

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科学领域:

  • 计算机科学 计算机科学
  • 电信工程 电信工程 电信工程

背景情况:

  • 无线电接入网络 (RAN) 的集中化和下一代服务对体验质量 (QoE) 的需求增加,使基带单元 (BBU) 的计算需求升级.
  • 高效的CPU资源利用对于提高RAN性能至关重要.

研究的目的:

  • 提出和评估一个深度强化CPU分配 (DRCA) 框架,用于BBU中的动态CPU资源调度.
  • 为了解决固定CPU调度在提高RAN性能方面的局限性.

主要方法:

  • 在RAN智能控制器平台中开发了DRCA框架.
  • 实施了三个DRCA计划:交通意识 (TA-DRCA),用户意识 (UA-DRCA) 和无线电资源意识 (RA-DRCA).
  • 利用了RAN吞吐量作为反,并为动态调度结合了网络状态指标.

主要成果:

  • 在TA-DRCA方案中,在模拟数据集上,BBU数据包处理吞吐量增加了30%.
  • 与静态CPU分配相比,TA-DRCA实现了高达18%的无线电资源利用率改善.
  • 使用行业级模拟器和开源数据集评估DRCA性能.

结论:

  • 该DRCA框架有效地实现了BBU中的动态CPU资源调度.
  • DRCA显著提高了BBU数据包处理吞吐量和无线电资源利用率.
  • 拟议的DRCA框架显示了未来蜂网络的巨大潜力.