An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization

2006 ◽  
Author(s):  
Huijie Zhang ◽  
Jigui Sun ◽  
Haihong Yu ◽  
Changsong Qi
Keyword(s):  
Efficient Method ◽  
Large Scale ◽  
Terrain Visualization

scholarly journals Fast and Efficient Method for Large-scale Aerial Image Stitching

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Nam Thanh Pham ◽  
Sihyun Park ◽  
Chun-Su Park
Keyword(s):  
Efficient Method ◽  
Large Scale ◽  
Aerial Image ◽  
Image Stitching

scholarly journals An accurate and efficient method for large-scale SSR genotyping and applications

2017 ◽  
Vol 45 (10) ◽  
pp. e88-e88 ◽  
Author(s):  
Lun Li ◽  
Zhiwei Fang ◽  
Junfei Zhou ◽  
Hong Chen ◽  
Zhangfeng Hu ◽  
...  
Keyword(s):  
Efficient Method ◽  
Large Scale ◽  
Ssr Genotyping

A Robust and Efficient Method of Designing Piles for Landslide Stabilization

2020 ◽  
Vol 26 (4) ◽  
pp. 481-492
Author(s):  
Yang Yu ◽  
Xingmin Li ◽  
Xiaohua Pan ◽  
Qing Lü
Keyword(s):  
Efficient Method ◽  
Large Scale ◽  
Polynomial Function ◽  
Design Method ◽  
Quadratic Polynomial ◽  
Soil Parameters ◽  
Stabilizing Piles ◽  
Geotechnical Design ◽  
The Mean ◽  
Landslide Stabilization

ABSTRACT Stabilizing pile is a widely used method to reduce the development of large-scale landslides. Optimizing the pile geometry is a great challenge in the design of stabilizing piles with the purpose of cost-effectiveness, especially for soil strength parameters with large uncertainty. The objective of this study is to propose a robust and efficient method of designing piles for landslide stabilization with the consideration of the safety of slope, uncertainty of soil parameters, and cost of stabilizing piles. A new response surface, which incorporates soil parameters and stabilizing force into a quadratic polynomial function, is first proposed. Unknown coefficients of the quadratic polynomial function are solved with a numerical method at typical sampling points. Based on the solved quadratic polynomial function, the mean and standard deviation of factor of safety (FOS) of the pile-stabilized slope as well as the signal-to-noise factor are then calculated in order to evaluate the design robustness. A framework based on the concept of robust geotechnical design is presented, and its feasibility is illustrated by two cases of soil slopes. The results indicate that the proposed robust geotechnical design method could be used to optimize the design of landslide-stabilizing piles.

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