scholarly journals Multi-value segmentation deviation measurement of rural homestead use right

资源科学 ◽  
2021 ◽  
Vol 43 (7) ◽  
pp. 1492-1508
Author(s):  
Fangzhou XIA ◽  
Pingzhen LU ◽  
2009 ◽  
Vol 16-19 ◽  
pp. 1164-1168 ◽  
Author(s):  
Ping Liu ◽  
San Yang Liu

The unconstrained optimization model applying to radial deviation measurement is established for assessing coaxality errors by the positioned minimum zone method. The properties of the objective function in the optimization model are thoroughly researched. On the basis of the modern theory of convex functions, it is strictly proved that the objective function is a continuous and non-differentiable and convex function defined on the four-dimensional Euclidean space R4. Therefore, the global minimal value of the objective function is unique and any of its minimal point must be its global minimal point. Thus, any existing optimization algorithm, as long as it is convergent, can be used to solve the objective function to get the wanted values of coaxality errors by the positioned minimum zone assessment. An example is given to verify the theoretical results presented.


2018 ◽  
Vol 24 ◽  
pp. 229-234 ◽  
Author(s):  
Berend Denkena ◽  
Benjamin Bergmann ◽  
Sebastian Kaiser ◽  
Markus Mücke ◽  
Dieter Bolle

2013 ◽  
Vol 333-335 ◽  
pp. 27-31
Author(s):  
Guang Min Cao ◽  
Fa Ju Qiu ◽  
Wei Yan Shang

An automatic measurement system used on deviation measurement of the cable crane tower has been designed, and the development ideas and the key codes have also been given. Then by experiment, it has been improved that the system has overcame the shortcomings of low efficiency and high labor intensity existed in the previous manual targeting, and measurement errors have also been reduced by the automatic measurement system. Based on the above advantages, the system has a high application value and promotion prospects.


2016 ◽  
Vol 22 (4) ◽  
pp. 743-751 ◽  
Author(s):  
Jin Sun

Purpose The purpose of this paper is to describe a visual try-in evaluation framework for the template-guided modelling of a nasal prosthesis. Design/methodology/approach For patients with nasal defects, there is no self-information that can be used for the fabrication of the nasal prosthesis. Based on model retrieval from a database, the template-guided model construction method can ensure successful building of the nasal prosthesis. The deviation measurement between the two mid-planes of pre-operative and visual post-operative patient’s face allowed a virtual try-in approach in the symmetry evaluation of the prosthetic rehabilitation. The test of fit between the prosthesis model and the surrounding tissue data also provided an evaluation of whether the nasal prosthesis fit the patient’s appearance well before operation. Findings A case study confirmed that this visual try-in evaluation framework has potential to design the desired nasal prosthesis for daily clinical practice. Practical implications This technique facilitates modelling of nasal prostheses while helping to predict the effect before the prosthesis is manufactured. Originality/value This visual try-in evaluation framework has great potential for use in clinical applications because of its advantages on the aesthetic evaluation of the prosthetic rehabilitation.


Author(s):  
Nolan S. Finch ◽  
Charles E. Andraka

Sandia Optical Fringe Analysis Slope Tool (SOFAST) is a mirror facet characterization system based on fringe reflection technology that has been applied to dish and heliostat mirror facet development at Sandia National Laboratories and development partner sites. The tool provides a detailed map of mirror facet surface normals as compared to design and fitted surfaces. In addition, the surface fitting process provides insights into systematic facet slope characterization, such as focal lengths, tilts, and twist of the facet. In this paper, a preliminary analysis of the sensitivities of the facet characterization outputs to variations of SOFAST input parameters is presented. The results of the sensitivity analysis provided the basis for a linear uncertainty analysis which is also included here. Input parameters included hardware parameters and SOFAST setup variables. Output parameters included the fitted shape parameters (focal lengths and twist) and the residuals (typically called slope error). The study utilized empirical propagation of input parameter errors through facet characterization calculations to the output parameters, based on the measurement of an Advanced Dish Development System (ADDS) structural gore point-focus facet. Thus, this study is limited to the characterization of sensitivities of the SOFAST embodiment intended for dish facet characterization. With reasonably careful setup, SOFAST is demonstrated to provide facet focal length characterization within 0.5% of actual. Facet twist is accurate within ± 0.03 mrad/m. The local slope deviation measurement is accurate within ± 0.05 mrad, while the global slope residual is accurate within ± 0.005 mrad. All uncertainties are quoted with 95% confidence.


2017 ◽  
Vol 10 (2) ◽  
pp. 234-240
Author(s):  
韩宝章 HAN Bao-zhang ◽  
李亦军 LI Yi-jun

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