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相关概念视频

Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

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Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
371
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...
9.0K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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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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Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
188
Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

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The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
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相关实验视频

Updated: Jul 16, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

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使用极端梯度提升预测建筑中的能源消耗.

Jiaming Han1, Kunxin Shu1, Zhenyu Wang2

  • 1Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR.

PeerJ. Computer science
|September 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了极端梯度提升 (XGB) 用于预测建筑能耗. 使用历史和日期特征的XGB模型为节能和全球变暖减缓提供了更高的精度.

关键词:
人工智能的人工智能是人工智能.数据挖掘和机器学习数据科学是数据科学.能量 能量 能量 能量 能量梯度增强可以提高梯度.预测 预测 预测时间序列时间序列.

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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相关实验视频

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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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科学领域:

  • 能源工程 能源工程
  • 计算科学 计算科学
  • 环境科学 环境科学

背景情况:

  • 由于经济和人口增长,全球能源消费量正在上升.
  • 建筑行业占全球能源消耗的很大一部分 (20.1%) .
  • 精确的能源消耗估计对于节能和减缓全球变暖至关重要.

研究的目的:

  • 探索用于估计建筑行业能源消耗的计算方法.
  • 评估基于机器学习的方法对传统方法的性能.
  • 建议和验证使用极端梯度提升 (XGB) 进行能源使用预测.

主要方法:

  • 利用了上海 (2015-2016) 办公楼每小时能耗数据集.
  • 实现了极端梯度提升 (XGB),是一种基于树的集体学习算法.
  • 仅使用历史特征,仅使用日期特征和两者的组合来比较模型性能.

主要成果:

  • 基于机器学习的框架与基于统计和基于工程的方法相比,表现优越.
  • 结合历史和日期特征的XGB模型优于使用单个特征类型的模型.
  • 性能最好的XGB模型实现了109.00的根平均平方误差 (RMSE) 和0.24的平均绝对百分比误差 (MAPE).

结论:

  • 极端梯度提升 (XGB) 是预测建筑能耗的有效方法.
  • 结合历史和日期特征可以显著提高预测准确性.
  • 开发的模型有助于更有效的能源管理,并支持减少全球变暖的努力.