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Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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SGK-Net:一个新的导航场景图形生成网络.

Wenbin Yang1, Hao Qiu1, Xiangfeng Luo1

  • 1School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括

本研究介绍了SGK-Net用于导航场景图表生成 (NSGG),以改善船舶在复杂的海上环境中的理解. 这种新型网络有效地减少了噪音,并提高了关系特征的准确性,以实现更安全的智能导航.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 海事技术 在海事技术.

背景情况:

  • 智能船只需要先进的场景理解来导航.
  • 目前的导航场景图形生成 (NSGG) 面临着由于复杂的关系和杂的上下文信息的挑战.
  • 现有的方法在NSGG中与语义模糊性和计算复杂性作斗争.

研究的目的:

  • 提出一个新的网络,SGK-Net,用于增强导航场景图形生成 (NSGG).
  • 为应对融合多式联运信息和改进导航场景中关系特征的挑战.
  • 引入第一个船舶导航场景图模拟数据集 (SNSG-Sim) 用于研究.

主要方法:

  • 开发了三个模块的SGK-Net:语义引导的多模组合 (SGMF),基于图形结构学习的结构演化 (GSLSE) 和关键实体消息传递 (KEMP).
  • SGMF使用关系语义来融合多模式数据,以澄清实体连接.
  • GSLSE使用图形结构学习优化关系特征,KEMP通过关注关键实体来改进特征,以减少噪音.

主要成果:

  • 在SNSG-Sim数据集上,SGK-Net显示了显著的改进.
  • 与基线方法相比,在PredCls任务中实现了8.31% (R@50) 的增加,在SGCls任务中实现了7.94% (R@50) 的增加.
关键词:
图形结构学习学习 图形结构学习传递的信息传递.多式联络融合多式联络融合导航场景图表生成的导航场景图表生成

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  • 提出的方法有效地减少了语义模两可和噪声干扰.

    • 结论:

    • SGK-Net在导航场景图表生成领域取得了重大进展.
    • 开发的网络架构和SNSG-Sim数据集为智能船舶导航研究提供了宝贵的贡献.
    • 这些发现验证了拟议模块在处理复杂的导航场景数据方面的有效性.