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Ternopil', Ukraine

Ternopil National Economic University, TNEU founded in 1971. It is located in the city of Ternopil, Ternopil Oblast, Ukraine.Viktor Yushchenko, the president of Ukraine , is an alumnus of TNEU. Wikipedia.


Osolinskyy O.,Ternopil National Economic University
Modern Problems of Radio Engineering, Telecommunications and Computer Science, Proceedings of the 13th International Conference on TCSET 2016 | Year: 2016

This paper investigates the interference immunity of the accurate measuring system for measuring the average energy consumption of microcontrollers while executing instructions, commands, programs or fragments of programs. There are six criteria for finishing a measuring process has been invented. These criteria ensure high accuracy and interference immunity of measurement results. The dual comparator ensuring adjustment of a measuring time to the period of the power supply network has been developed. The charts of the error due to influence of interference caused power supply network of 50-Hz frequency have been given in the paper. These charts allow us to estimate the error as a function of the amplitude of interference voltage as well as deviation of time of measurements from one or a few periods of the abovementioned power supply network. It has been shown that the error of measurements is quite small even for considerable amplitudes of interference and large deviations of time of measurements from the period of the power supply network. © 2016 National University Lviv Polytechnic. Source


Melnyk A.,Ternopil National Economic University
Modern Problems of Radio Engineering, Telecommunications and Computer Science, Proceedings of the 13th International Conference on TCSET 2016 | Year: 2016

This paper is dedicated to solving important scientific and technical problem which consists in evaluating the efficiency of systems for distance education. © 2016 National University Lviv Polytechnic. Source


Galeshchuk S.,Ternopil National Economic University
Neurocomputing | Year: 2015

Exploration of ANNs for the economic purposes is described and empirically examined with the foreign exchange market data. For the experiments, panel data of the exchange rates (USD/EUR, JPN/USD, USD/GBP) are examined and optimized to be used for time-series predictions with neural networks. In this stage the input selection, in which the processing steps to prepare the raw data to a suitable input for the models are investigated. The best neural network is found with the best forecasting abilities, based on a certain performance measure. A visual graphs on the experiments data set is presented after processing steps, to illustrate that particular results. The out-of-sample results are compared with training ones. © 2015 Elsevier B.V. Source


Voronych A.,Ivano Frankivsk National Technical University of Oil and Gas | Pastukh T.,Ternopil National Economic University
Proceedings of 13th International Conference: The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2015 | Year: 2015

The use of entropy for new methods of digital signal processing and transmission is explained in this paper. © 2015 Lviv Polytechnic National University. Source


Turchenko V.,Ternopil National Economic University
Advances in Intelligent Systems and Computing | Year: 2014

The development of parallel batch pattern back propagation training algorithm of multilayer perceptron with two hidden layers and the research of its parallelization efficiency on many-core system are presented in this paper. The model of multilayer perceptron and batch pattern training algorithm are theoretically described. The algorithmic description of the parallel batch pattern training method is presented. Our results show high parallelization efficiency of the developed algorithm on many-core parallel system with 48 CPUs using MPI technology. © Springer International Publishing Switzerland 2014. Source

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