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相关概念视频

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

856
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.
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相关实验视频

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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一项探索性研究,将虚拟现实和语义网络结合起来,用于使用Graph2VR进行生命科学研究.

Alexander J Kellmann, Sander van den Hoek1, Max Postema1

  • 1Department of Genetics, Genomics Coordination Center, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.

Database : the journal of biological databases and curation
|May 20, 2025
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概括
此摘要是机器生成的。

虚拟现实 (VR) 增强了研究人员对大型链接数据图的探索. 图2VR显示了生命科学在数据可视化和丰富方面的潜力,并提出了未来发展的建议.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学
  • 虚拟现实应用 虚拟现实应用

背景情况:

  • 链接数据图和SPARQL查询对于研究人员来说是复杂的.
  • 虚拟现实 (VR) 为数据探索提供了沉浸式环境.

研究的目的:

  • 评估Graph2VR,一个VR原型,用于导航生命科学中的链接数据图.
  • 评估Graph2VR在现实的使用案例中的实用性,包括队列研究,基因组数据和本体学丰富.

主要方法:

  • 应用Graph2VR可视化来自EUCAN Connect队列研究的元数据.
  • 利用 Graph2VR 来获取罕见疾病患者的基因组数据 (变异解释管道到RDF).
  • 使用Graph2VR来丰富荷兰的解剖治疗化学代码本体学与药品银行ID.

主要成果:

  • Graph2VR展示了在各种生命科学数据集中进行数据探索和丰富的潜力.
  • 识别了Graph2VR在处理非常大的知识图中的局限性.
  • 展示了VR在广泛的三维知识图中导航的能力.

结论:

  • 像Graph2VR这样的VR环境对于导航大规模知识图表具有重大前景.
  • 提供了优化数据准备和VR工具的建议,以提高可用性.