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相关概念视频

Application of Linearization and Approximation01:29

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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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Blood transfusion is a critical medical procedure that saves lives and treats various medical conditions. It involves transferring blood from a donor to a recipient. This process requires a thorough understanding of the ABO blood group system and its associated antigens and antibodies.
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Blood flow through a cylindrical blood vessel can be mathematically described using the principles of laminar flow, a regime in which fluid moves smoothly in parallel layers. In this model, the velocity of the blood is not uniform across the cross-section of the vessel; rather, it varies with the radial distance from the center. The maximum velocity occurs along the central axis, decreasing progressively toward the vessel walls, where it reaches zero due to viscous drag.Approximating Blood...
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Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
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一个自适应的A-Star算法来处理使用无人机的血液运输.

Chamseddine Zaki1, Houssein Taleb2,3, Mohamad Taki4

  • 1College of Engineering and Technology, American University of the Middle East, Kuwait City, Kuwait.

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概括

这项研究通过将3D路径查找与充电站放置相结合,优化了医疗样品的无人机交付. 该方法确保了高效,可行的无人机物流,克服了交通延误和关键医疗保健运输的电池限制.

关键词:
血液运输 血液运输无人机 无人机 无人机地理信息系统 (GIS) 是一个医疗保健 医疗保健 医疗保健 医疗保健无人机无人机无人机是什么?

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科学领域:

  • 物流和供应链管理的物流和供应链管理.
  • 机器人技术和自主系统
  • 医疗保健 运营 研究 研究 研究

背景情况:

  • 及时运输医疗样本至关重要,尤其是在拥挤的城市地区,道路运输速度很慢.
  • 无人驾驶飞行器 (UAV) 的航程受到电池寿命和因地形而变化的能源使用限制.
  • 现有的运输方式在复杂的环境中面临效率和速度的挑战.

研究的目的:

  • 开发一个集成系统,以优化无人机医疗样本运输.
  • 通过解决范围和能源限制,提高无人机物流的效率和可行性.
  • 战略性地部署无人机充电站,以改善运营覆盖范围.

主要方法:

  • 采用3D增强的A*路径查找算法,准确估计飞行成本,考虑高度和障碍物.
  • 利用K-means集群来战略地放置无人机充电站.
  • 将人口密度,地形,电力基础设施和无人机动力模型等因素整合到站点放置中.

主要成果:

  • 在黎巴嫩医院的案例研究中,证明了飞行距离和能源消耗的显著最小化.
  • 在现实操作限制下验证了拟议系统的任务可行性.
  • 展示了综合方法在克服无人机操作限制方面的有效性.

结论:

  • 拟议的综合系统有效优化了基于无人机的医疗运输.
  • 将先进的路径寻找与战略充电站部署相结合,提高了效率,克服了运营挑战.
  • 这种方法提供了一种可行的解决方案,用于改善在具有挑战性的环境中医疗物流.