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相关概念视频

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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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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Distributed Loads01:19

Distributed Loads

469
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...
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Non-ohmic Devices00:51

Non-ohmic Devices

986
In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
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Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

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The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
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相关实验视频

Updated: May 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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一个针对基于NoC的嵌入式系统的优化核心分布自适应拓重新配置算法.

Bowen Hou1, Dali Xu1, Fangfa Fu2

  • 1College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.

Micromachines
|April 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了网络在芯片 (NoC) 拓重新配置的自适应算法,优化核心分布以提高系统稳定性. 新方法提高了重新配置成功率,并大大减少了多核嵌入式系统的恢复时间.

关键词:
适应性核心分布优化优化 适应性核心分布优化在核心层面的冗余裁员.网络在芯片上的网络拓结构重新配置的重构.

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科学领域:

  • 计算机工程 计算机工程
  • 嵌入式系统 嵌入式系统
  • 芯片上的网络 (NoC) 架构

背景情况:

  • 多核嵌入式系统依赖于芯片上的网络 (NoC) 进行高效的核心通信.
  • 核心数量的增加增加了核心故障的风险,影响了系统性能和稳定性.
  • 现有的NoC拓重新配置算法难以平衡重新配置速度和恢复时间.

研究的目的:

  • 为NoC系统提出一个自适应的核心分布优化拓重新配置算法.
  • 解决当前算法在处理核心故障和优化恢复方面的局限性.
  • 为了提高核心故障的多核嵌入式系统的性能和可靠性.

主要方法:

  • 开发了一种适应性算法,专注于用于重新配置的错误核心分布.
  • 使用2D REmesh结构进行物理拓重新配置.
  • 采用双向搜索算法进行优化和自适应核心分布策略.

主要成果:

  • 实现了96.70%的成功重新配置率,最高68.75%的核心有缺陷.
  • 在8x9的REmesh中显示了63.60%的成功率,在8x9的REmesh中显示了8个故障核心,超过了BTTR和BSTR.
  • 与BTRTR相比,平均恢复时间缩短了98.60%,与BSTR相比,平均恢复时间缩短了15.87%.

结论:

  • 拟议的自适应算法显著提高了重新配置成功率,并减少了NOC系统的恢复时间.
  • 这种方法在拓重新配置速率和恢复时间之间提供了卓越的平衡.
  • 该算法提高了先进的多核嵌入式系统的整体系统性能和可靠性.