Spatial Interpolation Algorithm for Consecutive Block Error Using the Just-Noticeable-Distortion Method

2006 ◽  
pp. 979-987
Author(s):  
Su-Yeol Jeon ◽  
Chae-Bong Sohn ◽  
Ho-Chong Park ◽  
Chang-Beom Ahn ◽  
Seoung-Jun Oh
Keyword(s):  
Spatial Interpolation ◽  
Interpolation Algorithm ◽  
Just Noticeable Distortion ◽  
Consecutive Block

A calibration method for enhancing robot accuracy through integration of kinematic model and spatial interpolation algorithm

2021 ◽  
pp. 1-27
Author(s):  
Junde Qi ◽  
Bing Chen ◽  
Dinghua Zhang
Keyword(s):  
Spatial Interpolation ◽  
Residual Error ◽  
Compensation Method ◽  
Industrial Robots ◽  
Interpolation Algorithm ◽  
Random Errors ◽  
Spatial Error ◽  
Positioning Accuracy ◽  
Absolute Positioning ◽  
The Impact

Abstract Industrial robots are finding their niche in the field of machining due to their advantages of high flexibility, good versatility and low cost. However, limited by the low absolute positioning accuracy, there are still huge obstacles in high precision machining processes such as grinding. Aiming at this problem, a compensation method combining analytical modeling for quantitative errors with spatial interpolation algorithm for random errors is proposed based on the full consideration of the source and characteristics of positioning errors. Firstly, as for the quantitative errors, namely geometric parameter and compliance error in this paper, a kinematics-based error model is constructed taking the coupling effect of errors into consideration. Then avoiding the impact of random errors, the extended Kalman filtering algorithm (EKF) is adopted to identify the error parameters. Secondly, based on the similarity principle of spatial error, spatial interpolation algorithm is used to model the residual error caused by temperature, gear clearance etc. Based on the spatial anisotropy characteristics of robot motion performance, an adaptive mesh division algorithm was proposed to balance the accuracy and efficiency of mesh division. Then, an inverse distance weighted interpolation algorithm considering the influence degree of different joints on the end position was established to improve the approximation accuracy of residual error. Finally, the rough-fine two-stage serial error compensation method was carried out. Experimental results show the mean absolute positioning accuracy is improved from 1.165 mm to 0.106 mm, which demonstrates the effectiveness of the method in this paper.

scholarly journals Cooperation of the Spatial Interpolation Algorithm for the Contour Map of the Shockwave Overpressure Field

2017 ◽  
Vol 10 (6) ◽  
pp. 104-110
Author(s):  
Yongli Zhang ◽  
◽  
Tailin Han ◽  
Hong Liu ◽  
Xiao Wang ◽  
...  
Keyword(s):  
Spatial Interpolation ◽  
Interpolation Algorithm ◽  
Contour Map

scholarly journals Image Reconstruction of Internal Defects in Wood Based on Segmented Propagation Rays of Stress Waves

2018 ◽  
Vol 8 (10) ◽  
pp. 1778 ◽  
Author(s):  
Xiaochen Du ◽  
Jiajie Li ◽  
Hailin Feng ◽  
Shengyong Chen
Keyword(s):  
Image Reconstruction ◽  
Spatial Interpolation ◽  
Grid Cell ◽  
Stress Waves ◽  
Reconstruction Method ◽  
Interpolation Algorithm ◽  
Internal Defects ◽  
Image Reconstruction Method ◽  
Comparison Results ◽  
Imaging Results

In order to detect the size and shape of defects inside wood, an image reconstruction method based on segmented propagation rays of stress waves is proposed. The method uses sensors to obtain the stress wave velocity data by hanging around the timber equally, visualizes those data, and reconstructs the image of internal defects with the visualized propagation rays. The basis of the algorithm is precisely segmenting the rays to benefit the spatial interpolation. First, a ray segmentation algorithm using the elliptical neighborhood technique is proposed, which can be used to segment the rays and estimate the velocity values of segmented rays by the nearby original rays using elliptical zones. Second, a spatial interpolation algorithm utilizing a segmented ellipse according to the segmented rays is also proposed, which can be used to estimate the velocity value of a grid cell by the segmented ellipses corresponding to the nearby segmented rays. Then, the image of the internal defect inside the wood is reconstructed. Both simulation and experimental data were used to evaluate the proposed method, and the area and shape of the imaging results were analyzed. The comparison results show that the proposed method can produce high quality reconstructions with clear edges and high accuracy.

On the Use of Parallel Processing for Interactive Analysis of Large GIS Datasets

2019 ◽  
Author(s):  
Richard J. Marciano ◽  
Marc P. Armstrong
Keyword(s):  
Parallel Processing ◽  
Spatial Interpolation ◽  
Control Point ◽  
Interpolation Algorithm ◽  
Preliminary Assessment ◽  
Interactive Analysis ◽  
Point Density ◽  
Decomposition Strategies ◽  
Decision Making Processes ◽  
Gis Software

The computational intensity of analytical operations provided in GIS software can introduce disruptive computationally-induced latencies into decision-making processes. Though parallel processing can be used to improve the performance of GIS operations, the geographical configuration of input datasets can degrade performance when particular data decomposition strategies are used. We outline this problem and demonstrate its effects in a set of computational experiments. These experiments use a spatial interpolation algorithm to process datasets that contain three levels of control point density that are arranged in different geographical orientations. Finally, we suggest strategies to overcome the problem that are based on a preliminary assessment of input datasets.

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