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相关概念视频

Sampling Plans01:23

Sampling Plans

214
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
214
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
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...
12.0K
Random Sampling Method01:09

Random Sampling Method

11.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
11.2K
Systematic Sampling Method01:17

Systematic Sampling Method

10.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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.
Systematic sampling is one of the simplest methods...
10.4K
Convenience Sampling Method00:55

Convenience Sampling Method

9.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
9.0K
Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures 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 stratified sample, divide the population into groups called strata and then take a...
12.1K

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Aggregation Effects on Optimal Sensor Network Configurations with Distance-Dependent Noise.

Sensors (Basel, Switzerland)·2025
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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以采样为基础的方法,以分布式传感器网络来实现概率覆盖的理想模式.

Russell Costa1, Thomas A Wettergren1

  • 1Naval Undersea Warfare Center, 1176 Howell Street, Newport, RI 02841, USA.

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

一种新的分析方法优化了传感器在分布式网络中的放置,以达到所需的空间覆盖模式. 这种方法可以快速进行在线调整,以便在动态环境中有效地分配资源.

科学领域:

  • 传感器网络 传感器网络
  • 空间覆盖率优化 空间覆盖率优化
  • 应用数学 应用数学 应用数学

背景情况:

  • 分布式传感器网络需要最佳的传感器放置,以有效地覆盖空间.
  • 现有的数值优化方法通常很慢,并且缺乏适应动态环境的适应性.
  • 当传感器资源有限时,实现所需的覆盖模式至关重要.

研究的目的:

  • 开发一种新的分析方法,用于在分布式网络中确定最佳传感器位置.
  • 为了使在特定领域内创建所需的空间覆盖模式.
  • 为传感器网络设计和在线重新定位提供快速和适应性的解决方案.

主要方法:

  • 导出用于传感器位置概率密度的分析表达式.
  • 从导出的传感器密度取样,以确定特定的传感器位置.
  • 在一维和二维设置中应用该方法.

主要成果:

  • 分析方法为传感器放置提供了快速解决方案.
  • 该方法成功地产生了所需的空间覆盖模式.
  • 在数值示例中证明了有效性,在速度上超过了数值优化.

结论:

关键词:
覆盖范围覆盖范围的覆盖范围.分布式传感器网络是分布式传感器网络.优化的优化优化优化.定位 定位 放置 放置采样采样 采样采样

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  • 开发的分析方法为传感器网络设计提供了高效和适应性的解决方案.
  • 这种方法允许用户定义的次区域覆盖的优先级.
  • 该技术可促进传感器在线重新定位,以适应环境变化.