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相关概念视频

Parallel Processing01:20

Parallel Processing

173
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
173
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

403
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
403
Multimachine Stability01:25

Multimachine Stability

180
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
180
Mesh Analysis01:20

Mesh Analysis

699
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
699
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

666
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
666
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

72
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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相关实验视频

Updated: Jul 15, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

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在OpenSim Moco中使用并行计算对肌肉骨模拟的计算性能.

Alex N Denton1, Brian R Umberger1

  • 1School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA.

International journal for numerical methods in biomedical engineering
|September 25, 2023
PubMed
概括
此摘要是机器生成的。

在OpenSim Moco中的多核并行计算显著加快了肌肉骨模拟. 对于最佳控制的人类运动模型,使用大约六个处理器核心实现了大部分的性能增长.

关键词:
生物力学 生物力学肌肉骨模型的模型最好的控制和控制是最优的.优化的优化优化优化.

更多相关视频

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

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相关实验视频

Last Updated: Jul 15, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

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科学领域:

  • 生物力学 生物力学
  • 计算科学 计算科学
  • 人类运动分析 人类运动分析

背景情况:

  • 最佳控制肌肉骨模拟对于理解人类运动至关重要.
  • 高计算需求限制了模拟性能.
  • 与CasADi一起的OpenSim Moco提供了并行处理的潜力.

研究的目的:

  • 在OpenSim Moco中评估并行与串行处理的计算加速度.
  • 用多核处理器来量化性能增长,用于人类运动模拟.

主要方法:

  • 在OpenSim Moco.中使用多达18个核心运行模拟.
  • 测试了各种时网密度和初始猜测策略.
  • 分析了多种肌肉骨模型和运动类型 (走路,伸手).

主要成果:

  • 与串行处理相比,并行处理实现了1.7至7.7倍的速度提升.
  • 最大加速度取决于问题,最多的收益来自6核.
  • 较细的时间网格通常会产生更大的并行加速度.

结论:

  • 在OpenSim Moco中的多核处理可以大大减少计算时间,以实现最佳的控制模拟.
  • 性能改进是特定于模拟问题的.
  • 用户可能需要进行实验以实现最佳的计算性能.