On the Development and Implementation of a Common Spatial Error Analysis Tool

Author(s):  
Kendra Lesser ◽  
David Montminy
2014 ◽  
Vol 31 (2) ◽  
pp. 515-530 ◽  
Author(s):  
Jean-Marie Beckers ◽  
Alexander Barth ◽  
Charles Troupin ◽  
Aida Alvera-Azcárate

Abstract This paper presents new approximate methods to provide error fields for the spatial analysis tool Data Interpolating Variational Analysis (DIVA). The first method shows how to replace the costly analysis of a large number of covariance functions with a single analysis for quick error computations. Then another method is presented where the error is only calculated in a small number of locations, and from there the spatial error field itself is interpolated by the analysis tool. The efficiency of the methods is illustrated on simple schematic test cases and a real application in the Mediterranean Sea. These examples show that with these methods, one has the possibility for quick masking of regions void of sufficient data and the production of “exact” error fields at reasonable cost. The error-calculation methods can also be generalized for use with other analysis methods such as three-dimensional variational data assimilation (3DVAR) and are therefore potentially interesting for other implementations.


2014 ◽  
Vol 988 ◽  
pp. 324-327
Author(s):  
Shui Ping Li ◽  
Qian Qiu ◽  
Ya Li Yuan

Research on spatial error modeling of the glass fillet machine is introduced based on the basic principles of multi-body system kinematics. Firstly, the topological structure and the low-order body arrays are described on the basis of the mechanical structure. Then, the spatial error analysis is carried out based on the theory of multi-body system. At the same time, the transformation matrix between the adjacent typical bodies is written. After that, in order to illustrate the relationship between the grinding wheel and the grinding point, the space error model of the glass fillet machine is established, which explains the effect of spatial structure on machining error and the calculation method of machining error. This model is easy to analyze the error and embodies the superiority on the error analysis and correction. Thus it provides a kind of ideal technique for the precision analysis of the glass fillet machine.


2014 ◽  
Vol 945-949 ◽  
pp. 1651-1656
Author(s):  
Chuan Jun Li ◽  
Qiang Liu ◽  
Huan Liu

This paper analyzes the structure and classification of five-axis CNC machine, According to the nonlinear error analysis, tool center point and put heart point location model is established and derived the space of five-axis CNC machine tool cutting tool length compensation algorithm formula;Combined with two-dimensional CNC machine tool compensation principle and Kinematics Transform Algorithm (KTA) formula the same radius compensation algorithm formula is deduced, and within the scope of linear error analysis verified the result of the algorithm.Cutter compensation technology provides a method for the space.


1999 ◽  
Vol 173 ◽  
pp. 185-188
Author(s):  
Gy. Szabó ◽  
K. Sárneczky ◽  
L.L. Kiss

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.


Author(s):  
Melen McBride

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.


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