scholarly journals Impacts of Underlying Surface on the Dusty Weather in Central Inner Mongolian Steppe, China

2021 ◽  
Vol 8 (9) ◽  
Author(s):  
Chunling Bao ◽  
Mei Yong ◽  
Lige Bi ◽  
Hailin Gao ◽  
Jun Li ◽  
...  
Author(s):  
V.F. Kravchenko ◽  
◽  
O.V. Kravchenko ◽  
V.I. Lutsenko ◽  
I.V. Lutsenko ◽  
...  

The analysis an influence of reflections from the underlying surface, atmospheric noise, the Earth’s surface, cosmic noise and signal attenuation of the signal the atmosphere, as well as the flight dynamics of the aircraft (AC) on the signal/noise ratio and, accordingly, on the accuracy of AC navigation definitions by using consumer equipment of the satellite radio navigation systems. The analysis an influence of reflections from the underlying surface on the equipment operation quality of the satellite radio navigation systems consumers is carried out by using the Beckman model, in accordance with the earth’s surface appears to consist of flat faces with an arbitrary slope. It is noted that reflections from the underlying surface have a greater effect on the quality of functioning of the consumer equipment of the satellite radio navigation systems in the tracking signal mode than in the detection mode. In this case, the influence of reflections increases with decreasing flight altitude and an increase in the angle of heel of the AC in the direction of the navigation spacecraft.


2008 ◽  
Vol 41 (01) ◽  
pp. 79-81
Author(s):  
Hemant Saraiya

ABSTRACTkeeping skin graft or a flap adherent to the underlying surface can sometimes be a difficult job, particularly inside a cavity. different methods have been used for this function with varying success but the search is still on for an ideal pressure dressing.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 412
Author(s):  
Mingqiang Guo ◽  
Zhenzhen Song ◽  
Chengde Han ◽  
Saishang Zhong ◽  
Ruina Lv ◽  
...  

In this paper, we propose a novel guided normal filtering followed by vertex updating for mesh denoising. We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering. In the first stage, we newly design a consistency measurement to select a coarse consistent neighborhood for each face in a patch-shift manner. In this step, the selected consistent neighborhoods may still contain some features. Then, a graph-cut based scheme is iteratively performed for constructing different adaptive neighborhoods to match the corresponding local shapes of the mesh. The constructed local neighborhoods in this step, known as the adaptive consistent neighborhoods, can avoid containing any geometric features. By using the constructed adaptive consistent neighborhoods, we compute a more accurate guide normal field to match the underlying surface, which will improve the results of the guide normal filtering. With the help of the adaptive consistent neighborhoods, our guided normal filtering can preserve geometric features well, and is robust against complex shapes of surfaces. Intensive experiments on various meshes show the superiority of our method visually and quantitatively.


2021 ◽  
Vol 687 (1) ◽  
pp. 012060
Author(s):  
Ma Li ◽  
Ni YongXin ◽  
Lv XiZhi ◽  
Zhang QiuFen ◽  
Li Li ◽  
...  

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