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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

636
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...
636
Cluster Sampling Method01:20

Cluster Sampling Method

11.8K
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...
11.8K
Heuristics01:21

Heuristics

81
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
81
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

203
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
203
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

369
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
369

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

Emotionally expressive facial animation driven by EmotionBERT embeddings.

Scientific reports·2026
Same author

Domain-robust vision transformer with hierarchical swin encoding for explainable low-latency driver drowsiness detection.

Scientific reports·2026
Same author

Detection and mitigation of abusive web traffic using convolutional neural networks.

Scientific reports·2026
Same author

Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images.

Scientific reports·2026
Same author

Integrating dual convolutional networks and BiLSTM for precision prediction of chronic myeloid leukemia from protein sequences.

Frontiers in genetics·2026
Same author

Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis.

Digital health·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

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

500

基于算术优化的安全智能集群算法用于车辆临时网络.

Asad Ali1, Muhammad Assam2, Masoud Alajmi3

  • 1Department of CS and IT, University of Engineering and Technology, Peshawar, KPK, Pakistan.

PloS one
|September 12, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了AOACNET,一种使用算术优化算法 (AOA) 的安全车辆集群方法,以提高车辆特设网络 (VANET) 的可靠性. 该系统有效地防止恶意节点,并提高数据传输安全性.

更多相关视频

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

相关实验视频

Last Updated: Jun 13, 2025

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

500
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 人工智能的人工智能

背景情况:

  • 车辆定时网络 (VANET) 面临着数据丢失和链路中断等挑战,原因是车辆的高度流动性和动态拓.
  • 网络可靠性受到恶意工具的破坏,传播虚假消息,危及生命和效率.
  • 在密集的车辆网络中,安全和高效的通信至关重要,这使得车辆集群成为一个潜在的解决方案.

研究的目的:

  • 为VANETs设计一个安全和智能的车辆集群算法.
  • 为了优化集群的形成,并防止恶意节点的包含.
  • 在密集的车辆网络中提高通信的可靠性和安全性.

主要方法:

  • 使用算术优化算法 (AOA) 来实现最佳的车辆集群形成.
  • 实施了性能价值系统,奖励合法传输 (+1) 和惩罚假消息 (-1) 来过节点.
  • 超过值 (0) 的性能值的车辆被录取为集群成员.

主要成果:

  • 拟议的AOACNET算法在模拟中表现出卓越的性能.
  • 该算法在关键优化目标中比现有方法提高了25%.
  • 评估的指标包括集群计数,负载平衡,计算时间,网络开销和延迟.

结论:

  • 通过智能集群,AOACNET有效地提高了VANET的安全性和可靠性.
  • 基于AOA的方法成功优化了集群形成,并减轻了来自恶意节点的风险.
  • 拟议的方法为安全和高效的车辆通信提供了显著的改进.