Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

396
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
396
Mesh Analysis01:20

Mesh Analysis

731
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
731
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

676
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...
676
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

676
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...
676
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

1.4K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
1.4K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

239
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:
239

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Crude Oil Yield Estimation: Recent Advances and Technological Progress in the Oil Refining Industry.

Sensors (Basel, Switzerland)·2025
Same author

Prediction of Solvent Composition for Absorption-Based Acid Gas Removal Unit on Gas Sweetening Process.

Molecules (Basel, Switzerland)·2024
Same author

Rectenna System Development Using Harmonic Balance and S-Parameters for an RF Energy Harvester.

Sensors (Basel, Switzerland)·2024
Same author

Machine learning algorithm for ventilator mode selection, pressure and volume control.

PloS one·2024
Same author

Prediction of Dry-Low Emission Gas Turbine Operating Range from Emission Concentration Using Semi-Supervised Learning.

Sensors (Basel, Switzerland)·2023
Same author

Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs.

Sensors (Basel, Switzerland)·2022

相关实验视频

Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

605

一种用于工业无线网格网络的新型混合哈里斯霍克算术优化算法.

P Arun Mozhi Devan1, Rosdiazli Ibrahim1, Madiah Omar2

  • 1Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括

一种新的混合优化算法Harris Hawk-Arithmetic Optimization Algorithm (HHAOA),可以增强工业无线网络和压力控制. 它提高了效率和可靠性,减少了网络拥堵和控制系统结算时间.

关键词:
算术优化算法算术优化算法分数顺序预测PI的分数顺序.哈里斯·霍克斯优化优化工业无线网格网络无线网格网络最佳的节点放置位置.压力过程过程压力过程.实时控制实时控制的时间.

更多相关视频

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.6K

相关实验视频

Last Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

605
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.6K

科学领域:

  • 计算智能是一种计算智能.
  • 网络优化 网络优化
  • 过程控制 过程控制

背景情况:

  • 工业无线网格网络 (WMN) 面临着连接性差和拥堵等挑战.
  • 实时过程控制系统需要强大而准确的优化,以提高效率.
  • 现有的优化技术与过早的融合和低准确度等问题作斗争.

研究的目的:

  • 为了引入一种新的混合哈里斯霍克算术优化算法 (HHAOA).
  • 为了提高工业WMN和实时压力过程控制的性能.
  • 解决现有优化方法的局限性.

主要方法:

  • 开发了一种混合的哈里斯霍克算术优化算法 (HHAOA).
  • 对其他算法 (AOA,MFO,SCA,GWO,HHO) 的基准函数进行评估的HHAOA.
  • 应用HHAOA到工业WMN模拟和实时压力过程控制系统.

主要成果:

  • 与其他算法相比,HHAOA在融合速度,准确性和稳定性方面表现出卓越的表现.
  • 实现了WMN路由器的31.7%的减少,改善了连接性并减少了拥堵.
  • 优化的分数顺序预测PI (FOPPI) 控制器导致了最小的超额和53.244%更快的结算时间.

结论:

  • HHAOA算法显著提高了工业WMN的效率和可靠性.
  • HHAOA 改进了实时压力过程控制系统,这对于工业自动化至关重要.
  • 这种混合方法为复杂的工业优化问题提供了有希望的解决方案.