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

Leaky Scanning02:28

Leaky Scanning

4.5K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
4.5K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

852
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
852
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.3K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

8.7K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
8.7K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.1K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.1K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

659
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
659

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

Influence of surgical intervention on pre- and post-surgery patient specific muscle synergies in children with cerebral palsy.

Experimental brain research·2026
Same author

Aerobic exercise inhibits oxidative stress and improves diabetic cardiomyopathy in rats by activating the PROC/PAR1/Nrf2/HO-1 signaling pathway.

Frontiers in physiology·2026
Same author

Functional symmetrization of neuromotor modules during locomotor development in human infants.

Communications biology·2025
Same author

Seasonal variations in the connection between tomato consumption and all-cause and cardio-cerebrovascular mortality.

Food & nutrition research·2025
Same author

Exploring the alterations in microstate dynamics during the migraine cycle and detecting pre-ictal phases.

Headache·2025
Same author

Corrigendum to "Dried tangerine peel polysaccharide accelerates wound healing by recruiting anti-inflammatory macrophages" [Int. Immunopharmacol. 142(Part A) (2024) 113036].

International immunopharmacology·2025
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
查看所有相关文章

相关实验视频

Updated: May 3, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.1K

一种基于并行模糊算法的物联网协议漏洞检测方法.

Yinfeng Han1, Peng Wang2, Chaoqun Kang2

  • 1State Grid Zhejiang Electric Power Company, Ningbo Power Supply Company, Ningbo, Zhejiang, 315010, China.

Heliyon
|July 2, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种用于检测物联网 (IoT) 通信协议漏洞的新方法. 改进的算法显著降低了错过和错误检测率,提高了整体物联网安全性.

关键词:
通信协议 通信协议遗传算法 遗传算法 遗传算法改进了并行化模糊测试算法.电力分配物联网物联网试验案例 试验案例漏洞检测 发现漏洞的检测

更多相关视频

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

533

相关实验视频

Last Updated: May 3, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.1K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

533

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 网络安全 网络安全

背景情况:

  • 物联网 (IoT) 通信协议面临着严重的安全漏洞,原因是网络攻击不断升级.
  • 有效检测这些漏洞对于提高物联网通信安全性和及时修复至关重要.

研究的目的:

  • 为物联网通信协议提出分布式漏洞检测方法.
  • 通过增强漏洞检测来提高物联网通信协议的安全性和可靠性.

主要方法:

  • 基于设计原则和比较协议分析,为分布式物联网网络构建通信架构.
  • 正式化和分解的通信协议,其次是预处理漏洞检测样本.
  • 采用基因算法来增强平行模糊测试算法用于漏洞检测.

主要成果:

  • 改进的算法有效地降低了错误检测率 (最高为4.0%) 和错误检测率.
  • 实现了高检测效率,证明了该方法的有效性.
  • 实验结果证实了该方法在识别漏洞方面的良好性能和可靠性.

结论:

  • 拟议的分布式物联网通信协议漏洞检测方法为增强网络安全提供了强大的解决方案.
  • 增强的并行模糊测试算法为缓解物联网通信中的安全风险提供了可靠和高效的方法.