Jove
Visualize
联系我们
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

相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
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...
152
Classification of Systems-II01:31

Classification of Systems-II

242
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
242
Classification of Systems-I01:26

Classification of Systems-I

319
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
319

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 author

Handgrip Strength and the Association Between Depression and Cancer in Older Adults.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2026
Same author

Poor appetite predicts incident muscle weakness and disability: a multi-country longitudinal study of European older adults.

Nutrition (Burbank, Los Angeles County, Calif.)·2026
Same author

Low Protein Intake Is Associated with the Risk of Functional Impairment in Older Adults in an Age- and Gender-Specific Manner: A SHARE-Based Study.

Nutrients·2026
Same author

Can Difficulty Standing from a Chair Signal Early Risk of Chronic Illness? Insights from a Multi-Wave European Cohort.

Calcified tissue international·2026
Same author

Evaluation of handgrip strength and prostate cancer risk using propensity score matching in 64,371 European men.

Maturitas·2026
Same author

ACE Inhibitors Boost Mobility and Muscle Strength by Reducing Intestinal Permeability in Older Adults with Alzheimer's Disease.

Pharmaceuticals (Basel, Switzerland)·2026

相关实验视频

Updated: Sep 17, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

基于机器学习的生物识别系统.

Maciej Szymkowski1, Khalid Saeed2,3

  • 1Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351, Białystok, Poland. m.szymkowski@pb.edu.pl.

Scientific reports
|July 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的自动化生物识别系统,使用三个人类指纹特征:指纹,几何和静脉. 该系统实现了安全身份识别的高精度,证明了多特征生物识别的有效性.

关键词:
2D细分是指二维细分的方法.生物识别信息 生物识别信息机器学习是机器学习.拉斯伯派4是如何使用的支持矢量机器 (SVM) 是一个支持矢量机器.三路道系统是三路道系统.

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

相关实验视频

Last Updated: Sep 17, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

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
  • 安全工程安全工程.

背景情况:

  • 基于生物识别的身份验证是领先的安全方法.
  • 现有系统通常使用一个或两个特征,对更多的复杂性有担忧.
  • 多特征生物识别可以提高安全性,但可能会带来收购挑战.

研究的目的:

  • 开发和评估一个全自动化的多特征生物识别系统.
  • 调查结合指纹,指纹几何和静脉图案的有效性.
  • 提高人类身份识别的效率和准确性.

主要方法:

  • 设计了一个用于快速,安全和方便的样本采集的设备.
  • 开发了一种完全自动化的系统,用于使用三个指纹识别身份.
  • 通过对特征向量的数学运算提出了特征向量创建的两种方法.
  • 通过使用100个用户的数据库 (每个特性的5个样本) 评估了系统.

主要成果:

  • 该系统使用多层前神经网络实现了99.2%的精度和97.5%的回忆.
  • 这些结果验证了该系统在人类身份识别方面的有效性.
  • 尽管最初对复杂性的担忧,但多特征方法证明是成功的.

结论:

  • 开发的自动化生物识别系统有效地增强了人类身份识别.
  • 结合指纹,几何和静脉特征,提供了一个强大而准确的身份验证解决方案.
  • 这项研究表明了先进的多特征生物识别技术在提高数据安全方面的潜力.