The proposed article provides a generalized model of the hydraulic system of a drilling rig during the beginning of the introduction of the drilling tool into the ground. The oscillograms of the parameters of the motor in time are shown, obtained using a computational experiment in the Matlab program. Using this model, it is possible to estimate the transient processes of the hydraulic drive at the system design stage. The above formulas describe the parameters of the hydraulic system, determine the pressure at the pump outlet, the inlet to the throttled resistance and the input channel of the motor. Changing the input characteristics of the system allows you to monitor the behavior of the system in different situations and under different loads.
Keywords: mathematical model, hydraulic system of a drilling rig, work dynamics, transients
Existing methods for character recognition are considered, and the advantages and disadvantages of using neural networks for character recognition are revealed. The review of methods for character recognition is given. The advantages and disadvantages of algorithms for text recognition are also defined. The algorithm of the simplest single-layer neural network for recognition of calligraphic and printed figures is realized. In the work, the learning ability of this single-layer neural network was analyzed.
Keywords: Character recognition, single-layer, neural network, algorithms, perceptron
In this article, we briefly reviewed the problem of image quality loss. Methods for restoring defocused images are considered and analyzed. Describes lubrication functions and ways of defocusing the image, as well as a mechanism for eliminating the three main types of image blurring. A number of experiments were conducted on the defocused images. An algorithm for deconvolving an image using a Wiener filter and using the Tikhonov regularization method is disassembled. The analysis of the efficiency of the Wiener filter and Tikhonov regularization for blurred images is performed. The comparative analysis was carried out using the developed software for the restoration of defocused images in the Microsoft Visual Studio 2012 environment. For the Fourier transform, the library was used - aForge. A certain dependence of the execution time of the algorithm on the size of the image to be reconstructed. It is established that on the tested problems - the time complexity of the Wiener filter is 1.1 times less than the time complexity of Tikhonov regularization.
Keywords: Wiener filter, Wiener deconvolution, Tikhonov regularization, image reconstruction, blurred images, motion blur, Gaussian blur