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相关概念视频

Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

882
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
882

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相关实验视频

Updated: Jan 13, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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一种基于正弦和正弦算法的得分融合方法,用于增强的多模式生物识别身份验证.

Eslam Hamouda1,2, Alaa S Alaerjan2, Ayman Mohamed Mostafa3,4

  • 1Computer Science Department, Faculty of Computers & Information, Mansoura University, Mansoura 35516, Egypt.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用Sine Cosine算法 (SCA) 进行增强多式生物识别身份验证的新型分数融合方法. 基于SCA的方法显著提高了准确性,通过优化结合虹膜和面部数据,实现1.003%的等错率 (EER).

关键词:
负数和负数算法 (SCA)生物识别融合生物识别融合进行元启发式优化.多模式生物识别技术

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科学领域:

  • 计算机科学 计算机科学
  • 生物识别信息 生物识别信息
  • 人工智能的人工智能

背景情况:

  • 多模式生物识别系统通过整合多种识别方式来提高安全性.
  • 通过结合单个模式的分数来优化性能,得分融合技术至关重要.
  • 现有的方法在适应性参数选择中面临挑战,以实现有效的得分融合.

研究的目的:

  • 为多式联运生物识别认证系统提出一个新的分数融合方法.
  • 为了利用Sine Cosine算法 (SCA) 来优化分数融合参数.
  • 评估拟议方法的性能与现有技术相比.

主要方法:

  • 从多个生物识别来源 (虹膜,脸部) 提取特征.
  • 使用统计方法 (平均值,最大值,最小值,中位数,总和值,Tanh) 规范化和聚合内部/内部得分.
  • 使用Sine Cosine算法 (SCA) 的融合参数的优化.

主要成果:

  • 拟议的基于SCA的分数融合方法在融合左虹膜,右虹膜和面部数据时实现了1.003%的等错率 (EER).
  • 与单模系统相比,表现出显著的性能改善,高达85.89%.
  • 在相同的实验条件下,超越现有的基于优化的分数融合方法.

结论:

  • 在多式生物识别系统中,Sine Cosine算法 (SCA) 是适应性得分融合的有效方法.
  • 拟议的方法为生物识别身份验证提供了一种强大而准确的方法.
  • 这项研究证实了SCA在优化多式联络生物识别性能方面的优势.