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Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.2K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.2K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

471
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...
471
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

407
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...
407
Non-inertial Frames of Reference01:27

Non-inertial Frames of Reference

5.9K
A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
5.9K
Centroid of a Body01:16

Centroid of a Body

1.1K
The centroid is an important concept in engineering, physics, and mechanics. It is the geometric center of a body. It always lies within the body except in cases with holes or cavities. When the material that a body is composed of is uniform or homogeneous, the centroid coincides with its center of mass or the center of gravity.
For a homogeneous body with constant density, the centroid can usually be found using equations representing a balance of the moments of the body's volume. If the...
1.1K
Inertial Frames of Reference01:03

Inertial Frames of Reference

7.1K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
7.1K

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相关实验视频

Updated: Jul 12, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

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基于轴的Nexus模块注意弱监督的对象定位.

Junghyo Sohn1, Eunjin Jeon2, Wonsik Jung2

  • 1Department of Artificial Intelligence, Korea University, Seoul, 02841, Republic of Korea.

Scientific reports
|October 31, 2023
PubMed
概括
此摘要是机器生成的。

弱监督的对象定位通过新的基于轴的Nexus Attention (MoANA) 模块得到了改进. 在没有额外的超参数的情况下,MoANA可自适应地激活对象区域,以实现更精细,更准确的定位.

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 弱监督对象本地化 (WSOL) 努力对整个对象进行细分,通常只关注歧视性部分.
  • 现有的基于腐败的WSOL方法需要腐败程度的超参数,并产生粗略的本地化.
  • 这些方法可能会扰乱训练,并且无法捕获细粒度的物体细节.

研究的目的:

  • 引入一种新的方法,即基于轴的Nexus Attention (MoANA) 模块,用于改进弱监督对象本地化.
  • 通过自适应地激活不那么歧视性的区域来解决对整个对象进行细分的挑战.
  • 消除在WSOL中需要额外的超参数,例如腐败值.

主要方法:

  • MoANA使用了三视角注意力表示,注意力扩展和特征校准机制.
  • 它训练精细的注意力地图,具有元素智能的注意力值,与注意力均的方法不同.
  • 该方法适应地激活了歧视性和不那么歧视性的对象区域.

主要成果:

  • 与现有的弱监督对象定位方法相比,MoANA表现出优越的性能.
  • 拟议的方法可以实现更精细,更准确地定位整个对象.
  • 对MoANA组件的分析和注意力图的可视化提供了对其有效性的见解.

结论:

  • MoANA提供了一个强大的,无超参数的解决方案,用于弱监督的对象本地化.
  • 该方法有效地通过整合歧视性和非歧视性区域来定位整个对象.
  • 莫阿纳 (MoANA) 推进了基于注意力的对象定位技术的最新进展.