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   地形属性 在 自动化技术 分类中 的翻译结果: 查询用时:0.094秒
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  terrain properties
It is shown that the ratio of standard deviation of lateral velocity to the friction velocity, ΣΝ/u*, and therefore wind direction fluctuations, are sensitive to mesoscale terrain properties.
      
The model built allows defining safe trajectories depending on the robot's capabilities and the terrain properties and will represent, in a topo-geometric way, the environment as local and global maps.
      
Intuitively the yield clusters are due to soil and terrain properties, but there is no clear criterion for the delineation.
      
Even comprehensive representations only account for the obstacle presence and disregard the terrain properties.
      
It should be noted that the coefficients of the impulse response function characterize the terrain properties for a given location.
      
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  terrain properties
It is shown that the ratio of standard deviation of lateral velocity to the friction velocity, ΣΝ/u*, and therefore wind direction fluctuations, are sensitive to mesoscale terrain properties.
      
The model built allows defining safe trajectories depending on the robot's capabilities and the terrain properties and will represent, in a topo-geometric way, the environment as local and global maps.
      
Intuitively the yield clusters are due to soil and terrain properties, but there is no clear criterion for the delineation.
      
Even comprehensive representations only account for the obstacle presence and disregard the terrain properties.
      
It should be noted that the coefficients of the impulse response function characterize the terrain properties for a given location.
      
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A new deployment strategy is proposed under constraints of imprecise detections and terrain properties. Given the coverage of the sensor field which is divided into many grids,the proposed theory can be aimed at optimizing the number of sensors and determine their placements.Simulations in some representative situations are given in order to prove the proposed algorithm is better than the random placement.At the same time the placement of the sensors is also given.

提出一种在不精确探测和地形属性限制下的传感器部署方法,对给定的划分为栅格点的传感器区域,该方法不仅能求出所需的最小的传感器数目,还能给出这些传感器的位置。用一些典型情景下的仿真证明:提出的这种方法比随机部署有效地减少了使用传感器的数量,并给出了这些传感器的位置。

 
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