Study of multi-functional precision optical measuring system for large scale equipment

2017 ◽  
Author(s):  
Xingjian Jiang ◽  
Wenying Zhang ◽  
Yongxi Wang ◽  
Wei Jiang ◽  
Dabao Lao ◽  
...  
Keyword(s):  
Large Scale ◽  
Measuring System ◽  
Optical Measuring

scholarly journals The Optical Measuring System of Universal Time: Digital Zenith Tube

2021 ◽  
Vol 1739 ◽  
pp. 012015
Author(s):  
Hongbing Cai ◽  
Jingsong Xu ◽  
Shaojie Chen
Keyword(s):  
Universal Time ◽  
Measuring System ◽  
Optical Measuring

Dynamic Tests And Application Of The Electron-Optical Measuring System

1983 ◽  
Author(s):  
T. Hiruma ◽  
H. Ilida ◽  
E. Inuzuka ◽  
K. Kamiya ◽  
Y. Tsuchiya ◽  
...  
Keyword(s):  
Measuring System ◽  
Dynamic Tests ◽  
Optical Measuring

A Robust Feature Points Matching Algorithm in 3D Optical Measuring System

2011 ◽  
Vol 383-390 ◽  
pp. 5193-5199 ◽  
Author(s):  
Jian Ying Yuan ◽  
Xian Yong Liu ◽  
Zhi Qiang Qiu
Keyword(s):  
3D Reconstruction ◽  
Digital Camera ◽  
Image Data ◽  
Epipolar Geometry ◽  
Bundle Adjustment ◽  
Measuring System ◽  
Feature Points ◽  
3 Dimensional ◽  
Feature Points Matching ◽  
Optical Measuring

In optical measuring system with a handheld digital camera, image points matching is very important for 3-dimensional(3D) reconstruction. The traditional matching algorithms are usually based on epipolar geometry or multi-base lines. Mistaken matching points can not be eliminated by epipolar geometry and many matching points will be lost by multi-base lines. In this paper, a robust algorithm is presented to eliminate mistaken matching feature points in the process of 3D reconstruction from multiple images. The algorithm include three steps: (1) pre-matching the feature points using constraints of epipolar geometry and image topological structure firstly; (2) eliminating the mistaken matching points by the principle of triangulation in multi-images; (3) refining camera external parameters by bundle adjustment. After the external parameters of every image refined, repeat step (1) to step (3) until all the feature points been matched. Comparative experiments with real image data have shown that mistaken matching feature points can be effectively eliminated, and nearly no matching points have been lost, which have a better performance than traditonal matching algorithms do.

QUESTIONS ON OPTIMUM DEVELOPMENT OF COMPLEX FOR MULTI-POINT CONTROL AND EVALUATION OF CONTAMINATION OF WATER BASINS POLLUTED BY WASTE WATER OF MINING AND PROCESSING PLANTS

2021 ◽  
pp. 48-54
Author(s):  
B. L. Djafarova
Keyword(s):  
Waste Water ◽  
Heavy Metals ◽  
Natural Water ◽  
Large Scale ◽  
Measuring System ◽  
External Irradiation ◽  
Dissolved Organic Matters ◽  
Processing Plants ◽  
Optimum Type ◽  
Special Limitation

The paper is devoted to questions on optimum development of complex for control and evaluation of contamination of water basins used for collection of industrial waste water. The purpose of the paper is development of scientific-methodical basics for development of measuring system for control and evaluation of contamination of natural water basins with heavy metals using method of attenuation of irradiation of dissolved organic matters excited by external irradiation. The task on optimization of operational regime of measuring complex for control and evaluation of contamination of natural water basins by waste water of large scale point type polluter of environment with heavy metals. The known model of Shtern-Volmer is used as a basis which assumes non-linear relationship between formed complex and fluorescent irradiations attenuation degree. It is noted that potential possibilities of Shtern-Volmers model are used not fully till now. So that in known researches the water objects polluted by several same sources are mainly researched. It is shown that Shtern-Volmer model is also applicable for analysis and estimation of pollution of water basins by single strong polluter that is mining and processing plants. For analysis the suggested special parameter, inversely proportional to concentration of heavy metals in water is used. Integration of this parameter on all possible values of heavy metals concentration and imposition of special limitation condition on the searched for function of dependence of attenuated part of fluorescent irradiation on maximum concentration of heavy metals make it possible to formulate and solve the task on searching of optimum type of this function providing for the optimum regime of operation of the complex.

scholarly journals Microwave Tomography System for Methodical Testing of Human Brain Stroke Detection Approaches

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Ilja Merunka ◽  
Andrea Massa ◽  
David Vrba ◽  
Ondrej Fiser ◽  
Marco Salucci ◽  
...  
Keyword(s):  
Human Brain ◽  
Antenna Array ◽  
Large Scale ◽  
Imaging System ◽  
Reconstruction Algorithm ◽  
Human Head ◽  
Repeated Measurements ◽  
Measuring System ◽  
Dielectric Parameters ◽  
Iterative Reconstruction Algorithm

In this work, a prototype of a laboratory microwave imaging system suitable to methodically test the ability to image, detect, and classify human brain strokes using microwave technology is presented. It consists of an antenna array holder equipped with ten newly developed slot bowtie antennas, a 2.5 D reconfigurable and replaceable human head phantom, stroke phantoms, and related measuring technology and software. This prototype was designed to allow measurement of a complete S-matrix of the antenna array. The reconfigurable and replaceable phantom has currently 23 different predefined positions for stroke phantom placement. This setting allows repeated measurements for the stroke phantoms of different types, sizes/shapes, and at different positions. It is therefore suitable for large-scale measurements with high variability of measured data for stroke detection and classification based on machine learning methods. In order to verify the functionality of the measuring system, S-parameters were measured for a hemorrhagic phantom sequentially placed on 23 different positions and distributions of dielectric parameters were reconstructed using the Gauss-Newton iterative reconstruction algorithm. The results correlate well with the actual position of the stroke phantom and its type.

Study of Large Scale Measurement Method Based on Leapfrog Principle

2011 ◽  
Vol 130-134 ◽  
pp. 1560-1563
Author(s):  
Long Jiang Zheng ◽  
Xue Li ◽  
Ling Ling Qin ◽  
Hong Bin Chen ◽  
Xue Gao ◽  
...  
Keyword(s):  
Coordinate Transformation ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Coordinate Measuring Machine ◽  
Measuring Method ◽  
Measuring System ◽  
Wide Range ◽  
General Coordinate Transformation ◽  
Measuring Machine ◽  
The Mathematical Model

At present，large scale and space coordinates measuring system with wide-range and high-precision has been widely used in modern manufacturing industry. In this paper, large scale measuring method based on leapfrog principle of flexible three coordinate measuring machine is described. The mathematical model of coordinate transformation is built and the general coordinate transformation formula after number of times leapfrogging is derived. The best positioning and each step of leapfrog are given.

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