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Scientific and technical journal established by OSTU. Media registration number: ПИ № ФС77-75780 dated May 23, 2019. ISSN: 2220-4245. Subscription index in the online catalog «Subscription Press» (www.akc.ru): E28002. Subscription to the electronic version is available on the «Rucont» platform.
The journal is included in the Russian Science Citation Index and in the List of Russian Scientific Journals .

Search results

  • V.1(25), 2016
    70-76

    Application algorithms of computer vision for оbject detection on the railway crossing

    Development of innovative methods and hardware gives additional opportunities for the solution of various tasks. For example, innovations allow increasing safety in places of crossing highways and railroads by means of detection methods of objects in the required control zone. The big risk of emergencies in places as a railway crossing is caused by a high speed and the inertial movement of the train. In this connection, there is no possibility of timely braking of the train and prevention of collision with an obstacle. At the present time, the biggest percent of accident rate belongs to uncontrollable railway crossings. On such railway crossings completely are absent the blocking means or the warning technical tools. Controlled railway crossings are equipped with the blocking means for the automobiles. Also, they are equipped with the systems of video supervision. But the current systems of video supervision have no function of informing the driver of the train in an emergency. Therefore, to priorities belongs development of technical requirements for a hardware and software system. The automatic analysis of a dynamic situation in borders of a railway crossing, transfer to the driver of the approaching train of the required information belongs to priorities too. This work describes briefly main algorithms of computer vision which allow distinguishing any object on a railway crossing. The example of algorithmic modeling of detection of contours and allocation of a background on video has been considered in this work. Received results led to the conclusion about a necessary adaptation of modern computer vision algorithms for the solution of a detection problem of various objects with the required accuracy and in various working conditions.
  • V.1(33), 2018
    79-87

    Electrical distribution networks of railway junctions. problems and solutions

    The article describes the current state of railway non-traction electric power supply system in the electric grid complex. The main drawbacks of the existing electricity metering system in 0.4-10 kV distribution networks are shown. The main directions of non-tractive electric grid complex innovative development are considered, including directed to increase the efficiency of electric energy transformation, transmission and consumption processes due to the management of distribution networks operating modes. The basic principles of "Digital district power supply" constructing are given.
  • V.3(23), 2015
    85-94

    Application of cluster technology for development of systems of video surveillance and video registration on territorially the distributed objects of railway transport

    Is executed the analysis of the special features of the territorially distributed objects of rail transport for developing the systems of video surveillance and video registration. Is proposed the three-stage design procedure of such systems, at basis of which lies the separation of entire system into the zones of video surveillance, zones of video registration and the information clusters, which ensure the optimization of system on the criterion of minimum expenditures.