Analysis of the meter reading success ratio of low-voltage power carrier with gross error elimination method

2015 ◽  
pp. 149-151
Keyword(s):  
Low Voltage ◽  
Elimination Method ◽  
Success Ratio ◽  
Reading Success ◽  
Gross Error ◽  
Error Elimination

scholarly journals A GROSS ERROR ELIMINATION METHOD FOR POINT CLOUD DATA BASED ON KD-TREE

2018 ◽  
Vol XLII-3 ◽  
pp. 719-722 ◽  
Author(s):  
Q. Kang ◽  
G. Huang ◽  
S. Yang
Keyword(s):  
Point Cloud ◽  
Nearest Neighbor ◽  
Target Point ◽  
Point Cloud Data ◽  
K Nearest Neighbor ◽  
Cloud Data ◽  
Gross Error ◽  
Error Elimination ◽  
K Nearest Neighbor Algorithm ◽  
Key Steps

Point cloud data has been one type of widely used data sources in the field of remote sensing. Key steps of point cloud data’s pro-processing focus on gross error elimination and quality control. Owing to the volume feature of point could data, existed gross error elimination methods need spend massive memory both in space and time. This paper employed a new method which based on Kd-tree algorithm to construct, k-nearest neighbor algorithm to search, settled appropriate threshold to determine with result turns out a judgement that whether target point is or not an outlier. Experimental results show that, our proposed algorithm will help to delete gross error in point cloud data and facilitate to decrease memory consumption, improve efficiency.

The Median Method of Gross Error Elimination in Multi-satellite Precise Orbit Determination

2021 ◽  
pp. 705-713
Author(s):  
Yufei Yang ◽  
Chong Li ◽  
Maolei Wang ◽  
Zhixue Zhang ◽  
Shuxin Jin ◽  
...  
Keyword(s):  
Orbit Determination ◽  
Precise Orbit Determination ◽  
Precise Orbit ◽  
Gross Error ◽  
Error Elimination

An approach of gross error elimination in GNSS receiver hot start

2015 ◽  
Author(s):  
Shuo Liu Shuo Liu ◽  
Lei Zhang Lei Zhang ◽  
Jian Li Jian Li ◽  
Teng Long Teng Long
Keyword(s):  
Gnss Receiver ◽  
Gross Error ◽  
Error Elimination ◽  
Hot Start

The Method and Implementation of Three-Dimensional Laser Scanning Pipeline Scan Data Outliers Excluded

2013 ◽  
Vol 864-867 ◽  
pp. 2760-2763
Author(s):  
Zhi Liang Li ◽  
He Sheng Zhang ◽  
Qi Wu
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Handling Characteristics ◽  
Gross Error ◽  
Error Elimination ◽  
Scan Data

This article is based on three-dimensional laser scanning technology for the modeling of a chemical plant piping, scanned point cloud data with a lot of blunders, comprehensive analysis of the point cloud handling characteristics and stage of maturity of two-dimensional graphics. As a result, a concept of transforming the point cloud data with three dimensional to two-dimensional is formed. Then, according to point and circle positional relationship in the same plane, derived an Algorithm about Gross Error Elimination, finally, programming and achieve it.

Gross Error Elimination and Index Determination of Shearing Strength Parameters in Triaxial Test

2013 ◽  
Vol 353-356 ◽  
pp. 152-158
Author(s):  
Fang Wei
Keyword(s):  
Nonlinear Programming ◽  
Solution Process ◽  
Friction Angle ◽  
Triaxial Tests ◽  
Strength Parameters ◽  
Gross Error ◽  
Error Elimination ◽  
Shearing Strength ◽  
Programming Solution

In order to determine shearing strength parameters of triaxial tests(cohesion and friction angle), nonlinear programming solution was suggested based on “minimum square sum of distance”. After proving that the vertical distances between Mohr circles and the regressed strength line are distributed normally, data with gross error would be excluded; moreover, the only strength line, as well as cohesion and friction angle, could be determined. Combining with Matlab, the solution process became rapid, precise and intuitive. Some examples verified the applicability of suggested method finally.

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