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To solve the problem of modeling and formally verifying the composition of cloud manufacturing services, a new modeling and formal verification approach based on Calculus for Orchestration of Web Service (COWS) combined with Unified Modeling Language (UML) was proposed. First UML activity diagram for Cloud Manufacturing service composition was built with MagicDraw software, and saved as an XML file...
The precision of machine vision calibration is affected by those factors such as the loss of depth information, distortion of camera lens, and errors caused by image processing. In this paper machine vision system is developed by means of BP neural network with self- learning. There are 4 inputs, which are the image coordinates of a match point in left and right camera, and 3 outputs in the network...
Because of the loss of depth information, distortion of lens and so on, all make the camera model nonlinear. RBF neural networks which can approximate any non-linear function are adopted to describe relations between 3-D feature points and corresponding image point in left and right cameras. While the network is trained, sum of squared differences between outputs of network and actual coordinates...
A control system design of a new explosive ordnance disposal (EOD) robot based on the binocular stereo vision location is presented in this paper. The principle of the binocular vision location and the design of a motion control system are described. Real-time control system of the robot based on xPC target through the Matlab/RTW method run successfully in test prototype furnished with PC/104, and...
Nowadays, the existing EOD robots usually are operated manually; it is very hard to operate. According to the theory of stereo vision, a new explosive ordnance disposal (EOD) robot with a binocular vision system is developed. The vision system captures real-time images, makes camera calibrations with Zhang's method, preprocesses images, matches feature point, then gets the stereo coordinate of the...
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