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

Rapidly Varying Flow01:24

Rapidly Varying Flow

446
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...
446
Stream Function01:20

Stream Function

2.0K
In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,
2.0K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

429
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
429
Multiple Pipe Systems01:21

Multiple Pipe Systems

1.2K
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
1.2K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

527
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
527
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

669
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
669

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

Identification of small-molecule HSF1 amplifiers by high content screening in protection of cells from stress induced injury.

Biochemical and biophysical research communications·2009
Same author

Nanowire transformation by size-dependent cation exchange reactions.

Nano letters·2009
Same author

Effect of haishengsu as an adjunct therapy for patients with advanced renal cell cancer: a randomized and placebo-controlled clinical trial.

Journal of alternative and complementary medicine (New York, N.Y.)·2009
Same author

Identification of inhibitors of HSF1 functional activity by high-content target-based screening.

Journal of biomolecular screening·2009
Same author

Antitumor effects of targeting hTERT lentivirus-mediated RNA interference against KB cell lines.

Oncology research·2009
Same author

Characteristics of emissive spectrum and the removal of nitric oxide in N2/02/NO plasma with argon additive.

Journal of environmental sciences (China)·2009

相关实验视频

Updated: Jan 15, 2026

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

7.9K

一个通过数据共享的多流概念漂移处理框架.

Bin Zhang, Jie Lu, Yiliao Song

    IEEE transactions on cybernetics
    |October 13, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了一个新的框架,以解决数据流中的概念漂移问题. 通过在流之间共享数据,它克服了数据不足的问题,并提高了预测性能.

    更多相关视频

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.1K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.9K

    相关实验视频

    Last Updated: Jan 15, 2026

    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

    7.9K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.1K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.9K

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 概念漂移,数据分布随着时间的推移而变化,是数据流挖掘中经常出现的问题.
    • 在处理概念漂移时,数据不足是一个常见的挑战.
    • 现有的方法经常独立处理多个数据流,从而限制了它们的有效性.

    研究的目的:

    • 提出一个新的多流概念漂移处理框架 (MCDHF),以解决概念漂移数据不足的问题.
    • 利用跨多个数据流的数据共享来改善漂移处理.
    • 在概念漂移下提高数据流挖掘的预测性能.

    主要方法:

    • 开发了一个多流概念漂移处理框架 (MCDHF),具有模糊的基于会员身份的漂移检测 (FMDD) 和适应 (FMDA) 组件.
    • 定义了一个带有成员函数的流模糊集,以量化样本对数据流的归属性.
    • 实施了数据共享机制,将权重数据从非漂流转移到漂流流.

    主要成果:

    • 该框架有效地检测概念漂移的发生和跨流的位置.
    • 分享来自非漂流流的加权数据成功地缓解了数据不足问题.
    • 合成和现实数据的实验结果显示,预测性能有了显著的改善.

    结论:

    • 拟议的MCDHF通过利用跨流数据共享,有效地处理概念漂移.
    • 该方法解决了漂流流中的数据不足的关键问题.
    • 这种方法为提高数据流挖掘模型的准确性提供了一个强大的解决方案.