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相关概念视频

Ampere-Maxwell's Law: Problem-Solving01:17

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
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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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Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
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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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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.
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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Coarse-to-Fine Contrast Maximization for Energy-Efficient Motion Estimation in Edge-Deployed Event-Based SLAM.

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动态性能和功率优化与异质处理内存对边缘设备上AI应用程序的边缘设备.

Sangmin Jeon1, Kangju Lee1, Kyeongwon Lee1

  • 1Department of Intelligent Semiconductor Engineering, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.

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概括

本研究引入了一种具有异质模块的新型内存处理 (PIM) 技术,以动态优化人工智能 (AI) 性能和边缘设备的能源效率,实现显著的能源节约.

关键词:
数据分配算法数据分配算法新兴的非易失性内存 (NVM)不同质的建筑 不同质的建筑.低功率的设计设计.性能优化 优化 性能优化在内存中的进程 (PIM)

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科学领域:

  • 计算机工程 计算机工程
  • 人工智能的人工智能
  • 能源效率 能源效率 能源效率

背景情况:

  • 人工智能和物联网 (IoT) 的进步推动人工智能应用到边缘设备.
  • 在边缘设备上的动态AI工作负载中平衡性能和能源效率是具有挑战性的.
  • 现有的解决方案难以适应实时计算负载变化.

研究的目的:

  • 提出一种新的内存处理 (PIM) 技术,用于边缘设备上AI应用程序的动态优化.
  • 在不同的计算负载下解决性能-能源效率权衡问题.
  • 通过智能资源管理,增强边缘的AI能力.

主要方法:

  • 开发了一种异质的PIM架构,包括高性能PIM (HP-PIM) 和低功耗PIM (LP-PIM) 模块.
  • 设计了一个数据配置优化算法,以预测工作负载变化和分配数据.
  • 在嵌入式处理器中实现了PIM架构,并执行了FPGA原型设计.

主要成果:

  • 不同质的PIM架构根据工作负载需求动态调整数据处理.
  • 数据配置算法有效地分配数据以优化能源效率.
  • 实验结果显示,在不同工作负载的AI应用中,节能高达29.54%.

结论:

  • 提出的异质PIM技术有效地优化了边缘设备上的AI的性能和能源消耗.
  • 动态的工作负载适应对于高效的边缘AI部署至关重要.
  • 这种PIM解决方案为可持续的边缘AI提供了一个有希望的方法.