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Prague, Czech Republic

Pancik J.,Banking Institute University
Proceedings of 25th International Conference Radioelektronika, RADIOELEKTRONIKA 2015

This article is focused on the design of low cost electronics and software solution for the radar front-end electronics based on the Universal Software Radio Peripheral (USRP) for short range FMCW (Frequency Modulated - Continuous Wave) Synthetic Aperture Radar (SAR) system. We developed the radar front-end electronics with USRP type N210 from Ettus Research. As first, we describe requirements for SAR front-end, as second we in the detail describe the system process synchronization, the primary raw signal processing and necessary USRP FPGA program modification. Also we describe by us developed PC control program for system synchronization and raw data transfer control between SAR system high frequency part, USRP radar front-end and measurement PC. Finally, the measurement arrangement of the SAR system testing, real photo of all system and several results from the tests we show. © 2015 IEEE. Source

Peschansky A.I.,Banking Institute University | Kovalenko A.I.,Kharkiv Polytechnic Institute
Cybernetics and Systems Analysis

A semi-Markov model of the single-server GI /G/ 1/ 0 queue is constructed with allowance for the maintenance of an unreliable server. Stationary reliability and economic characteristics of the queue are found, and two-criteria optimization of maintenance periodicity is carried out. © 2015 Springer Science+Business Media New York Source

Yemelyanov V.A.,Banking Institute University
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu

Purpose. To develop intelligent information technology for processing visual information for the metals state diagnostics. As against the already existing technologies it will allow diagnosing the state of metal by all characteristics (chemical composition, structure, properties). Methodology. The methods of comparative study, scientific abstraction and mathematical simulation have been used in the study. Findings. The basic stages of the intelligent information technology have been described. The neural networks choice to solve the problem of automation metallographic analysis at all its stages has been substantiated. The neural networks results for metallographic images recognition to determine quantitative information about metal have been shown. The neural network results to determine the metals properties by samples of steel of different grades have been described. Originality. We have developed the intelligent information technology of visual information processing for the metals state diagnostics based on the neural networks and the precedents theory. It can diagnose the metals state by all its characteristics (chemical composition, structure, properties). Practical value. Scientific results of the work allowed us to develop the intelligent information technology of the visual information processing for determination of metals properties. The software which implements the methods and the stages of the developed information technology have been created. © 2014, Natsional'nyi Hirnychyi Universytet. All rights reserved. Source

Yemelyanov V.A.,Banking Institute University
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu

Purpose. To develop the thermograms processing method of the lining objects to determine their lining burnout locations. Methodology. The method of converting a local adaptive contrast and filters of Prewitt, Sobel, Roberts, and Canny for preprocessing thermogram images have been applied. The neural network for thermogram recognition has been used. Findings. The main stages of the image processing method for lining objects thermal control have been described. The thermogram image processing technique of the moved mixers and wagons with liquid iron has been proposed and described. The approach for improving the thermal images quality by adaptive transform local contrast has been proposed. The approach to identification of the thermogram informative areas by filtration has been studied. The comparative results of thermogram image filtering to separate the burnout areas from the image background have been shown. The algorithm for vectorizing the thermogram images to highlight burnout areas on the filtered image has been developed. The neural networks choice to solve the problem for thermogram image recognition of the lining objects has been substantiated. The thermogram image processing results of the moved mixers and wagon with liquid iron to determine their technical condition have been described. Originality. The thermogram image processing method of the lining objects for thermal control which based on a combination of the neural networks and classical image processing methods and which allows diagnosing the lining objects condition (determining burnout areas) has been developed. Practical value. The practical value of these results is that the provisions of this scientific work allowed carrying out technical diagnostics of the lining objects by determining their lining burnout areas. Source

Pancik J.,Banking Institute University
International Conference on Applied Electronics

In the paper we describe the control electronics for an industrial test system based on a low cost PLC. The developed system is a hydraulic pulse system and it generates series of high pressure hydraulic pulses (max. 200bar) and is based on pneumatic-hydraulic circuits. We describe requirements, an overall concept of the embedded control system, user interface, security features and network connectivity. In the description of the software solution we describe implementation of hierarchical ordered program threads (multithreaded program) and main control state machine. At the conclusion, we describe the calibration method of the system and calibration curves, we present the schematic diagram and a photo of a functional prototype of the system. © 2015 University of West Bohemia. Source

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