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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

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The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
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Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
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Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
91
Energy Bands in Solids01:01

Energy Bands in Solids

951
Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
 Band Formation:
When atoms are brought close together, as in a solid, these discrete energy levels begin to split due to the overlap of electron orbitals from adjacent atoms. This split occurs because of the Pauli exclusion principle, which states...
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Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

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The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
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相关实验视频

Updated: Jul 24, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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基于能源均等化的UWSNs的非统一集群算法.

Jinwang Yi1, Jie Tang1, Fei Yuan2

  • 1Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology, Xiamen 361024, China.

Sensors (Basel, Switzerland)
|July 8, 2023
PubMed
概括

本研究介绍了一种非统一的集群算法,以平衡水下传感器网络的能源消耗. 该方法通过优化集群头选择和大小来提高网络寿命和覆盖范围.

关键词:
能量均等化 能量均等化不统一的集群是不统一的集群.水下传感器网络是水下传感器网络.

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Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish
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相关实验视频

Last Updated: Jul 24, 2025

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 海洋技术 海洋技术

背景情况:

  • 水下传感器网络 (UWSNs) 面临着随机节点部署和环境电流的挑战,导致分布不均和能源消耗.
  • 这是一个很棒的节目,这是一个很棒的节目.
  • 热带热带热带地区
  • 问题加剧了特定网络区域的能源耗尽,降低了整体效率和寿命.

研究的目的:

  • 为了解决不均的能源消耗,并延长网络寿命在UWSNs.
  • 通过智能集群来改善网络覆盖的维护.

主要方法:

  • 提出了一种非统一的聚类算法,用于能量均等.
  • 集群头是根据剩余能量,节点密度和覆盖冗余性来选择的.
  • 集群大小被动调整,以在多跳路由过程中等同能源消耗,考虑到节点的移动性和剩余能量.

主要成果:

  • 拟议的算法有效地延长了UWSN的寿命.
  • 它大大平衡了整个网络的能源消耗.
  • 与现有算法相比,证明了网络覆盖率维护的改进.

结论:

  • 不统一的集群算法为UWSN中的能量均等提供了一个可行的解决方案.
  • 它提高了网络寿命和运营效率.
  • 该算法提供了卓越的覆盖维护,对于持续的水下监控至关重要.