Time filter

Source Type

Timchenko L.I.,State Economic Technological University of Transport | Cheporniuk S.V.,LLC KSK Automation | Kokriatskaya N.I.,State Economic Technological University of Transport | Yarovyy A.A.,Vinnytsia National Technical University | Denysova A.E.,State Economic Technological University of Transport
IET Image Processing | Year: 2014

A classification of correlation algorithms is provided. A method of S-preparation is discussed, which, due to the preliminary conveyor formation of correlated image convolution sums, is characterised by high noise immunity and adaptivity to uncertainty and variability of the signal clutter situation.


Timchenko L.I.,State Economic Technological University of Transport | Kokryatskaya N.I.,State Economic Technological University of Transport | Shpakovych V.V.,State Economic Technological University of Transport
Eurasip Journal on Advances in Signal Processing | Year: 2013

Principles necessary to develop a method and computational facilities for the parallel hierarchical transformation based on high-performance GPUs are discussed in the paper. Mathematic models of the parallel hierarchical (PH) network training for the transformation and a PH network training method for recognition of dynamic images are developed. © 2013 Timchenko et al.; licensee Springer.


Stasiuk A.I.,State Economic Technological University of Transport | Goncharova L.L.,State Economic Technological University of Transport
Cybernetics and Systems Analysis | Year: 2016

This article analyzes the current state of scientific investigations in the sphere of intellectualization of electrical networks on the basis of synchronous phasor measurements in a system of registration of primary data. The optimization of electrical energy consumption is shown to be dependent on the informational completeness of primary multidimensional data. Based on differential transformations, mathematical models and methods are proposed to analytically compute a collection of T-discretes for determining the informational completeness of the obtained nondeterministic primary data. Methods are considered that make it possible to intellectualize technologies of synchronous phasor measurements with the help of representation of registered primary data in the form of T-spectra for determining individual harmonic components for each parameter of transient processes in power supply systems and also for performing spectral analysis (based on differential representations) and computing spectral density as the basis for the formation and accumulation of new knowledge. © 2016 Springer Science+Business Media New York


Timchenko L.,State Economic Technological University of Transport | Yarovyi A.,Vinnytsia National Technical University | Kokriatskaya N.,State Economic Technological University of Transport | Nakonechna S.,State Economic Technological University of Transport | And 4 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

The paper presents a method of parallel-hierarchical transformations for rapid recognition of dynamic images using GPU technology. Direct parallel-hierarchical transformations based on cluster CPU-and GPU-oriented hardware platform. Mathematic models of training of the parallel hierarchical (PH) network for the transformation are developed, as well as a training method of the PH network for recognition of dynamic images. This research is most topical for problems on organizing high-performance computations of super large arrays of information designed to implement multi-stage sensing and processing as well as compaction and recognition of data in the informational structures and computer devices. This method has such advantages as high performance through the use of recent advances in parallelization, possibility to work with images of ultra dimension, ease of scaling in case of changing the number of nodes in the cluster, auto scan of local network to detect compute nodes. © 2016 SPIE.


Nakonechna S.,State Economic Technological University of Transport | Petrovskyi M.,State Economic Technological University of Transport | Timchenko L.,State Economic Technological University of Transport | Kokryatskaya N.,State Economic Technological University of Transport | And 2 more authors.
2012 9th International Symposium on Telecommunications, BIHTEL 2012 - Proceedings | Year: 2012

The article describes method of S-preparation, which is characterized by high noise immunity and adaptability to uncertainty and variability of the signal-jamming environment, due to the formation of pre-pipelined convolution sums of correlated images. © 2012 IEEE.

Loading State Economic Technological University of Transport collaborators
Loading State Economic Technological University of Transport collaborators