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相关概念视频

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

450
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...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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...
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Rotation with Constant Angular Acceleration - II01:16

Rotation with Constant Angular Acceleration - II

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Kinematics is the description of motion. The kinematics of rotational motion discusses the relationships between rotation angle, angular velocity, angular acceleration, and time. One can describe many things with great precision using kinematics, but kinematics does not consider causes. For example, a large angular acceleration describes a very rapid change in angular velocity without any consideration of its cause. Thus, rotational kinematics does not represent the laws of nature.
The first...
6.0K
Rotation with Constant Angular Acceleration - I01:37

Rotation with Constant Angular Acceleration - I

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If angular acceleration is constant, then we can simplify equations of rotational kinematics, similar to the equations of linear kinematics. This simplified set of equations can be used to describe many applications in physics and engineering where the angular acceleration of a system is constant.
Using our intuition, we can begin to see how rotational quantities such as angular displacement, angular velocity, angular acceleration, and time are related to one another. For example, if a flywheel...
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Rotation of Asymmetric Top01:11

Rotation of Asymmetric Top

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By definition, a spherically symmetric body has the same moment of inertia about any axis passing through its center of mass. This situation changes if there is no spherical symmetry. Since most rigid bodies are not spherically symmetric, these require special treatment.
The relationship between the angular momentum of any rigid body and its angular velocity, both of which are vectors, involves the moment of inertia. The moment of inertia is a scalar quantity only for spherically symmetric...
866
Rotational Motion about a Fixed Axis01:26

Rotational Motion about a Fixed Axis

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A rigid body's rotation around a fixed axis makes every point within it trace a circular path around a specific line or point. The term given to this type of spinning is defined by the angular position, symbolized by the angle θ. This angle is gauged from a static reference line to the revolving object. From this angular position, any variation is referred to as angular displacement, denoted by dθ. The extent of this displacement can be calculated in degrees, radians, or...
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相关实验视频

Updated: Jun 12, 2025

Controlled Rotation of Human Observers in a Virtual Reality Environment
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可以解释的旋转不变的自我监督的表示学习.

Devansh Singh1, Aboli Marathe2, Sidharth Roy3

  • 1Symbiosis Centre for Applied Artificial Intelligence, Symbiosis Institute of Technology, India.

MethodsX
|September 27, 2024
PubMed
概括

这项研究引入了RISC,一个旋转不变的自我监督视觉框架,通过克服旋转诱导的噪声来提高医学成像中的AI模型准确性. RISC显著提高了旋转医学图像的分类性能.

关键词:
计算机视觉 计算机视觉 计算机视觉医学成像数据 医学成像数据RISC - 旋转不变的自我监督视觉框架坚固性 坚固性旋转的不变性 旋转的不变性自主监督学习学习

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科学领域:

  • 医学成像人工智能 医学成像人工智能
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 现实世界的医学成像通常含有旋转噪声,降低AI模型性能.
  • 开发旋转不变模型对于可靠的医疗AI应用至关重要.

研究的目的:

  • 提出一个新的框架,RISC (旋转不变的自我监督视觉框架),用于可靠地检测和分类旋转的医疗图像.
  • 通过结合自主监督学习来解决医疗AI中的旋转腐败,以实现旋转不变.

主要方法:

  • 提出了一种代表性学习方法,使用自主监督学习来实现旋转不变性.
  • 开发了RISC框架,以纠正医疗图像中的旋转损坏.
  • 使用GradCAM来解释自我监督的借口任务和分类结果.

主要成果:

  • 在基准数据集上取得了最先进的旋转不变分类结果.
  • 与旋转受影响的基准标准相比,RISC显示了OrganAMNIST的22%,肺炎MNIST的17%和视网膜MNIST的2%的精度改善.
  • 为模型在旋转医学图像上的表现提供了解释性.

结论:

  • RISC框架有效地提高了AI模型的稳定性,以应对医疗图像中的旋转变化.
  • 对旋转不变性的自主监督学习是改善医疗AI诊断准确性的可行策略.
  • 可解释性方法证实了RISC在处理轮流损坏数据方面的有效性.