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Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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重复量化分析群众声音动态的复发量化分析.

Shannon Proksch1,2, Majerle Reeves3, Kent Gee4

  • 1Department of Psychology, Augustana University.

Cognitive science
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概括

使用反复量化分析 (RQA) 对人群声学数据的非线性分析有效地区分人群情绪状态. 这种方法揭示了群体互动中潜在的行为动态,提供了超越传统信号处理的新见解.

关键词:
声学分析 声学分析群众行为 群众行为动态系统是动态系统.出现的情况 Emergence.复发量化分析的复发量化分析

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科学领域:

  • 动态系统理论 动态系统理论
  • 声学分析 声学分析
  • 行为科学 行为科学

背景情况:

  • 新兴的群众行为源于群体的互动,而不是个人.
  • 传统的信号处理和机器学习从声学数据中对人群情绪进行分类.
  • 非线性分析方法显示出理解复杂音频信号的前景.

研究的目的:

  • 将非线性分析方法应用于体育赛事中的声学数据.
  • 研究用于描述群众行为的复发量化分析 (RQA).
  • 确定RQA测量是否可以区分人群情绪状态.

主要方法:

  • 在篮球比赛中从人群中收集声学数据.
  • 应用非线性分析,特别是RQA,从音频信号中提取行为动态.
  • 手动标记人群声学数据,将其分为六个情感类别.

主要成果:

  • RQA的措施有效地在各种人群情绪状态中区分声学行为动态.
  • 来自RQA的重复动态反映了潜在的群众互动模式.
  • 非线性分析为新兴人群行为提供了洞察力.

结论:

  • 反复量化分析 (RQA) 是分析人群声学数据的宝贵工具.
  • 非线性方法比传统方法更深入地了解群体行为动态.
  • 这项研究证明了RQA在行为科学和声学分析中的潜力.