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

Parallel Processing01:20

Parallel Processing

155
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
155
Machines: Problem Solving II01:30

Machines: Problem Solving II

312
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
312
Machines: Problem Solving I01:22

Machines: Problem Solving I

331
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
331
Reducing Line Loss01:18

Reducing Line Loss

155
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
155
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

56
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...
56
Production Efficiency01:01

Production Efficiency

16.8K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.8K

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

A hybrid approach for diabetic retinopathy stages classification using spatial and textural features.

Health informatics journal·2026
Same author

Joint optimization secure and energy-efficient computation offloading framework IoT-enabled edge networks.

Scientific reports·2026
Same author

Deep Learning Based Framework for Detection and Classification of Leukemia Using Microscopic Images.

Microscopy research and technique·2026
Same author

Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things.

Scientific reports·2026
Same author

Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.

Sensors (Basel, Switzerland)·2026
Same author

Machine Learning-Driven Computer Vision System for Automated Fat and Energy Quantification in Human Milk Microcapillaries.

Sensors (Basel, Switzerland)·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
查看所有相关文章

相关实验视频

Updated: Jul 9, 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

583

多媒体物联网监控优化模型使用移动端真实计算.

Faten S Alamri1, Khalid Haseeb2, Tanzila Saba2

  • 1Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.

Mathematical biosciences and engineering : MBE
|December 5, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种针对物联网 (IoT) 的优化多媒体系统,该系统使用边缘计算和认证. 该模型提高了多媒体监控系统的数据传输效率和网络安全.

关键词:
多媒体网络是多媒体网络.边缘计算是一种边缘计算.新兴技术是新兴技术.未来的网络 未来的网络基础设施建设的发展.

更多相关视频

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.3K

相关实验视频

Last Updated: Jul 9, 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

583
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.3K

科学领域:

  • 计算机科学 计算机科学
  • 网络工程 网络工程
  • 信息安全 信息安全

背景情况:

  • 物联网 (IoT) 产生了大量的多媒体数据,在带宽管理和及时传输方面带来了挑战.
  • 现有的物联网系统在高效的多媒体数据处理和安全的数据传输方面扎.
  • 需要智能,可持续的解决方案,在物联网多媒体系统中平衡性能和通信成本.

研究的目的:

  • 提出一种用于优化物联网环境中的多媒体数据传输的新型模型.
  • 通过智能策略,提高物联网系统中的多媒体数据的可靠性和安全性.
  • 解决带宽利用,数据丢失和网络稳定性方面的挑战.

主要方法:

  • 边缘计算的整合用于实时网络状态分析和系统状态发现.
  • 实施混合身份验证方法 (直接和间接),以确保数据转发商的可靠性.
  • 使用移动边缘智能优化多媒体数据处理和传输的模型的开发.

主要成果:

  • 拟议的模型在关键指标上表现出卓越的性能,包括字节交付,数据包开销和数据包延迟.
  • 认证策略显著减少了数据泄露,并加强了对多媒体监控的信任.
  • 边缘计算有效地减少了通信中断,并改善了整体系统稳定性.

结论:

  • 边缘计算和强大的身份验证的结合方法为多媒体物联网系统提供了有效的解决方案.
  • 该模型为管理复杂网络环境中的多媒体流量提供了可持续和智能框架.
  • 这项研究通过提高多媒体数据处理的信任和效率来推进智能通信范式.