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相关概念视频

Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

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Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
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Reducing Line Loss01:18

Reducing Line Loss

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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.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
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Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

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A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

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Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area...
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Collisions in Multiple Dimensions: Problem Solving01:06

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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通过最大限度地减少高层能量来实现数据高效学习.

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    此摘要是机器生成的。

    这项研究引入了一种新的数据高效学习方法,使用主动学习和高层能量最小化. 在医学成像等领域,MHEAL算法能够从小型数据集中进行有效的学习.

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    科学领域:

    • 机器学习 机器学习
    • 计算几何学的计算几何学
    • 拓学的拓学

    背景情况:

    • 深度学习在大型数据集上勃发展,但在医学成像和机器人技术等领域,数据采集是昂贵的.
    • 需要用有限的数据从头开始学习的场景是常见的,也是具有挑战性的.

    研究的目的:

    • 为具有有限代表性数据的场景开发数据高效的学习方法.
    • 通过在球形多元管上使用主动学习来描述数据高效的学习.

    主要方法:

    • 通过在球形多元体的同态管上进行主动学习来表征数据高效的学习.
    • 在寻找管分流器和最小化超球能量 (MHE) 之间建立了等价性.
    • 提出了基于MHE的积极学习 (MHEAL) 算法.

    主要成果:

    • 为MHEAL提供了全面的理论保证,包括融合和泛化分析.
    • 在各种数据高效学习应用中证明了MHEAL的实证有效性.
    • 展示了深度集群,分布匹配,版本空间采样和深度主动学习中的应用.

    结论:

    • MHEAL提供了一个强大的解决方案,可以从头开始高效地学习数据.
    • 拓性质与高层能量最小化之间的联系是算法的成功的关键.
    • 拟议的方法显著提高了数据稀缺领域的学习能力.