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

Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

58
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...
58
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

1.4K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
1.4K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

389
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
389
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

63
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...
63
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

448
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
448
Force Classification01:22

Force Classification

1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K

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

Nutritional Value of Female <i>Eriocheir sinensis</i> from Three Different Habitats in the Lower Reach of the Yangtze River with a Special Emphasis on Lipid Quality.

Foods (Basel, Switzerland)·2025
Same author

Association of peripheral inflammatory cytokines with motor and non-motor symptoms in patients with Parkinson's disease and type 2 diabetes mellitus.

Frontiers in neurology·2025
Same author

Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection.

PloS one·2025
Same author

Acute Moderate Hemodynamic Stroke Secondary to Large Vessel Stenosis: A Case Series Exploring Imaging Characteristics and Endovascular Treatment Outcomes.

Academic radiology·2025
Same author

Early Neurological Deterioration in Acute Ischemic Minor Stroke Patients with Large Vessel Occlusion Following Intravenous Thrombolysis.

World neurosurgery·2024
Same author

Age-related changes of node degree in the multiple-demand network predict fluid intelligence.

IBRO neuroscience reports·2024

相关实验视频

Updated: Jun 10, 2025

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K

模块化YOLOv8优化实时无人机海上救援物体检测.

Beigeng Zhao1,2, Ye Zhou2, Rui Song2

  • 1School of Computer Science and Engineering, Northeastern University, Shenyang, China.

Scientific reports
|October 18, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个模块化的YOLOv8优化无人机 (UAV) 海上救援物体检测,显著提高准确性和实时性能,同时降低计算成本.

更多相关视频

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.4K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

相关实验视频

Last Updated: Jun 10, 2025

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.4K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 海上安全的航行.

背景情况:

  • 基于无人机的海上救援物体检测需要高精度和实时性能.
  • 现有的基于YOLO的方法往往会为了准确性而牺牲速度,或者很难实现.
  • 在海上搜索和救援方面,需要有效和适应性的解决方案.

研究的目的:

  • 为YOLOv8框架开发一个模块化,插件和操作的优化.
  • 为了提高无人机海上救援物体检测的实时性能和准确性.
  • 为实际应用创造一个灵活,可扩展的解决方案.

主要方法:

  • 在YOLOv8架构上实施模块化优化策略.
  • 使用SeaDronesSee数据集进行大规模实验.
  • 与基线YOLOv8x和现有的两级探测器进行比较分析.

主要成果:

  • 与YOLOv8x.相比,实现了13.53%的精度改进.
  • 减少了85.63%的计算成本.
  • 超过两级探测器的检测速度超过20倍,准确度可比.

结论:

  • 拟议的模块化方法有效地平衡了无人机海上救援的准确性和实时性能.
  • 该方法提供了灵活性,易于实施和可扩展性.
  • 数据集分析揭示了对象特定的检测挑战和潜在的偏见.