Jove
Visualize
联系我们

相关概念视频

Optimal Foraging00:48

Optimal Foraging

13.6K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

394
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
394
Maximum Power Transfer01:16

Maximum Power Transfer

828
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
828
Optimization Problems01:26

Optimization Problems

24
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
24
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
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...
1.1K
Transformers in Distribution System01:27

Transformers in Distribution System

498
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
498

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 journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026
Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026
Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026
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

相关实验视频

Updated: Jan 18, 2026

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

13.4K

一个融合多策略灰狼优化器,用于在无线传感器网络中增强覆盖率优化.

Zhenkun Liu1, Yun Ou1, Zhuo Yang2

  • 1School of Communication and Electronic Engineering, Jishou University, Jishou 416000, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了用于高效无线传感器网络 (WSN) 覆盖的 Fusion 多策略灰狼优化器 (FMGWO). 通过使用更少的节点实现更高的覆盖率,FMGWO显著提高了WSN的部署.

关键词:
物联网的物联网,就是物联网.优化覆盖范围,优化覆盖范围.灰狼优化器 灰狼优化器传感器 传感器 传感器群众情报是一个群众情报.无线传感器网络是无线传感器网络.

更多相关视频

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

1.1K

相关实验视频

Last Updated: Jan 18, 2026

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

13.4K
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

1.1K

科学领域:

  • 计算机科学 计算机科学
  • 优化算法 优化算法
  • 无线传感器网络 无线传感器网络

背景情况:

  • 无线传感器网络 (WSN) 对物联网,智能城市和环境监测至关重要.
  • 优化WSN覆盖面对于在资源限制下有效性至关重要.
  • 现有的方法面临着低效率,高计算成本和局部最佳融合等挑战.

研究的目的:

  • 为WSN覆盖面开发一个先进的优化算法.
  • 为了解决传统WSN优化方法的局限性.
  • 提高全球覆盖效率,减少WSN部署中的计算开销.

主要方法:

  • 提出了融合多策略灰狼优化器 (FMGWO),这是一个增强的灰狼优化器 (GWO).
  • 集成了静电场初始化,动态参数调整,长老理事会机制,阿尔法狼旋转和混合突变策略.
  • 采用除研究来验证个别策略贡献和模拟实验进行绩效评估.

主要成果:

  • FMGWO在WSN覆盖率优化方面表现优于PSO,GWO,CSA,DE,GA,FA,OGWO,DGWO1和DGWO2.与PSO,GWO,CSA,DE,GA,FA,OGWO,DGWO2相比,FMGWO在WSN覆盖率优化方面表现优越.
  • 只用30个节点实现高达98.63%的覆盖率,显著超过现有算法.
  • 展示了改进的融合速度,增强的稳定性和更大的全球搜索能力.

结论:

  • FMGWO是高效的WSN部署和覆盖率优化的高效解决方案.
  • 为物联网和边缘计算中的资源受限优化问题提供了显著的优势.
  • 拟议的战略共同提高人口分布,活力和全球搜索性能.