State University of transport economics and technologies

Kiev, Ukraine

State University of transport economics and technologies

Kiev, Ukraine

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Timchenko L.,State University of Transport economics and Technologies | Wojcik W.,Lublin University of Technology | Kokriatskaia N.,State University of Transport economics and Technologies | Ivasyuk I.,State University of Transport economics and Technologies | And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

Multistage integration of visual information in the brain allows humans to respond quickly to most significant stimuli while maintaining their ability to recognize small details in the image. Implementation of this principle in technical systems can lead to more efficient processing procedures. The multistage approach to image processing includes main types of cortical multistage convergence. The input images are mapped into a flexible hierarchy that reflects complexity of image data. Procedures of the temporal image decomposition and hierarchy formation are described in mathematical expressions. The multistage system highlights spatial regularities, which are passed through a number of transformational levels to generate a coded representation of the image that encapsulates a structure on different hierarchical levels in the image. At each processing stage a single output result is computed to allow a quick response of the system. The result is presented as an activity pattern, which can be compared with previously computed patterns on the basis of the closest match. With regard to the forecasting method, its idea lies in the following. In the results synchronization block, network-processed data arrive to the database where a sample of most correlated data is drawn using service parameters of the parallel-hierarchical network. © 2016 SPIE.


Fomin O.V.,State University of transport economics and technologies
Metallurgical and Mining Industry | Year: 2014

One of the priority development fields of native railways is the creation by own engineering capacity of gondola cars, which will meet the modern needs. Analysis results of professional inquiry desk and special technical literature testified the absence of executing and lighting the results of the work concerning determination and combination of the data about present requirements to the body structure (combine modules of body and frame) of general-purpose gondola cars. The article shows modern requirements, which are necessary to be considered during designing of new constructions or updating of already existing constructions of carrying systems of railway general-purpose gondola cars. © Metallurgical and Mining Industry, 2014.


Kelrykh M.B.,State University of transport economics and technologies | Fomin O.V.,State University of transport economics and technologies
Metallurgical and Mining Industry | Year: 2014

The article presents the perspective directions of gondola carcasses engineering and their features. © Metallurgical and Mining Industry, 2014.


Timchenko L.I.,State University of Transport economics and Technologies | Kokriatskaya N.I.,State University of Transport economics and Technologies | Poddubetskaya D.P.,Vinnytsia National Technical University | Smolarz A.,Lublin University of Technology | And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

The article describes a new simulation method for the parallel-hierarchical network based on number sets. Software was developed that simulates G-transformations at each level of the network according to preselected elements. In addition, software was developed that simulates the basic network of certain dimension by forming its number sets. Obtained results may be used for solving problems of processing and organizing large data volumes, including graphic ones. © 2016 SPIE.


Timchenko L.I.,State University of Transport economics and Technologies | Pijarski P.,Lublin University of Technology | Zavadskiy V.,Lublin University of Technology | Nakonechna S.S.,State University of Transport economics and Technologies | Kokriatskaya N.I.,State University of Transport economics and Technologies
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

The paper presents a method of forecasting the energy center position of the laser beam images using the parallel-hierarchical network. Main steps for classification and forecast of energy center coordinates of laser beam spot images are described, which allow to develop a new information technology for their classification and forecast their energy center coordinates. Predictions based on the known neural networks and on the proposed method using the parallel-hierarchical network were evaluated experimentally. © 2016 SPIE.


Timchenko L.,State University of Transport economics and Technologies | Kokriatskaia N.,State University of Transport economics and Technologies | Yarovyy A.,Vinnytsia National Technical University | Denysova A.,State University of Transport economics and Technologies
Journal of Theoretical and Applied Information Technology | Year: 2013

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. © 2005 - 2013 JATIT & LLS. All rights reserved.


Fomin O.V.,State University of Transport economics and Technologies | Burlutsky O.V.,Ukrainian State Academy of Railway Transport | Fomina Y.V.,Ukrainian State Academy of Railway Transport
Metallurgical and Mining Industry | Year: 2015

The paper presents features and results of cataloging of gondola carrying system throughout the application of this approach for face wall of one of the basic model of gondolas. © Metallurgical and Mining Industry, 2015.


Fomin O.V.,State University of transport economics and technologies
Metallurgical and Mining Industry | Year: 2015

The article shows the peculiarities and results of optimization designing of upper bundling of side walls of one of the most widespread models of gondola cars of native production - models 12-9745 to reduce materials consumption during fulfillment of conditions of strength and exploitation reliability. Suggested aspect of designing may be used for other elements of gondola car bodies and other means of transport machine building. © Metallurgical and Mining Industry, 2015.

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