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

Laminar Flow01:27

Laminar Flow

1.1K
Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
1.1K
Underflow Gates01:30

Underflow Gates

56
Underflow gates are vital for controlling water flow in irrigation canals. The three main types of underflow gates — vertical, radial, and drum gates — serve different purposes while ensuring effective flow management. Vertical gates move up and down, generating a free-flowing water jet; radial gates pivot to regulate the flow; and drum gates rotate for precise adjustments. The flow through these gates is influenced by downstream conditions, resulting in free or drowned outflow.Free and...
56
Rapidly Varying Flow01:24

Rapidly Varying Flow

64
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
64
Gradually Varying Flow01:29

Gradually Varying Flow

52
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
52
Plane Potential Flows01:23

Plane Potential Flows

394
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
394
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

132
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
132

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

Obesity and Early Sepsis-Associated Acute Respiratory Distress Syndrome: A Prospective Multicenter Study.

Respiratory medicine·2026
Same author

Trajectories of Oxygenation Index and PEEP Levels Associated with 28-Day Mortality in Sepsis-Associated ARDS: A Multicenter Cohort Study.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026
Same author

Deep learning and machine learning in image-based hepatocellular carcinoma detection: a systematic review and meta-analysis.

Abdominal radiology (New York)·2026
Same author

Molecular insights and therapeutic implications for the tumor suppressor role of LKB1 in non-small cell lung cancer.

Cancer letters·2026
Same author

When task performance deceives: Task-geometry decoupling in learnable-curvature hyperbolic GNNs.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Molecular insights for the tumor suppressor role of SPOP in prostate cancer.

Biochimica et biophysica acta. Reviews on cancer·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jul 9, 2025

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
07:03

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology

Published on: December 1, 2023

925

在软件定义网络中降低流表更新成本

Wen Wang1, Lin Yang1, Xiongjun Yang1

  • 1Academy of Military Sciences, Beijing 100141, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

软件定义网络 (SDN) 由于复杂的流表更新而面临延迟. 本研究介绍了三元内容可定位内存 (TCAM) 流表的高效算法,将更新步骤减少6%并提高转发效率.

关键词:
流程表更新流程表更新规则依赖性 规则依赖性软件定义网络是软件定义的网络.

更多相关视频

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

7.4K
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.2K

相关实验视频

Last Updated: Jul 9, 2025

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
07:03

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology

Published on: December 1, 2023

925
Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

7.4K
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.2K

科学领域:

  • 计算机科学 计算机科学
  • 网络化 网络化 网络化

背景情况:

  • 软件定义网络 (SDN) 依赖于高效的流表更新来进行流量转发.
  • 在SDN中的细粒度控制增加了规则插入/删除,导致复杂的依赖关系.
  • 三元内容可定位内存 (TCAM) 流表中的重叠规则需要有序更新,导致延迟.

研究的目的:

  • 为了减少在基于TCAM的流表中更新依赖规则的延迟.
  • 为了解决TCAM维护的NP-hard问题,并提高转发效率.
  • 提出一个算法,优化SDN环境中的规则更新.

主要方法:

  • 制定了TCAM维护作为一个NP-hard问题.
  • 提出了一个最佳的移动链算法,以理论证明单一规则更新.
  • 开发了一种动态方法,用于在一个受限制的TCAM区域内启发式更新多个并发的条目.

主要成果:

  • 与现有方法相比,拟议的算法实现的移动步骤大约少了6%.
  • 在大量使用的流表和更长的规则依赖链的情况下,效率的增长更为显著.
  • 在不同的依赖复杂性下,证明了更新效率的提高.

结论:

  • 开发的算法有效地减少了SDN中的TCAM更新延迟.
  • 在TCAM流表中的优化规则管理提高了整体网络转发性能.
  • 这种方法为高性能网络中管理复杂的规则依赖提供了实际解决方案.