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Number of results: 7
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Abstract

Automation of data processing of contactless diagnostics (detection) of the technical condition of the majority of nodes and aggregates of railway transport (RWT) minimizes the damage from failures of these systems in operating modes. This becomes possible due to the rapid detection of serious defects at the stage of their origin. Basically, in practice, the control of the technical condition of the nodes and aggregates of the RWT is carried out during scheduled repairs. It is not always possible to identify incipient defects. Consequently, it is not always possible to warn personnel (machinists, repairmen, etc.) of significant damage to the RWT systems until their complete failure. The difficulties of obtaining diagnostic information is that there is interdependence between the main nodes of the RWT. This means that if physical damage occurs at any of the RWT nodes, in other nodes there can also occur malfunctions.

As the main way to improve the efficiency of state detection of the nodes and aggregates of RWT, we see the direction of giving the adaptability property for an automated data processing system from various contactless diagnostic information removal systems. The global purpose can be achieved, in particular, through the use of machine learning methods and failure recognition (recognition objects). In order to improve the operational reliability and service life of the main nodes and aggregates of RWT, there are proposed an appropriate model and algorithm of machine learning of the operator control system of nodes and aggregates. It is proposed to use the Shannon normalized entropy measure and the Kullback-Leibler distance information criterion as a criterion of the learning effectiveness of the automated detection system and operator node state control of RWT. The article describes the application of the proposed method on the example of an automatic detection system (ADS) of the state of a traction motor of an electric locomotive. There are given the test data of the model and algorithm in the MATLAB environment.

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Authors and Affiliations

Bakhytzhan Akhmetov
Valeriy Lakhno
Ayaulym Oralbekova
Zhanat Kaskatayev
Gulmira Mussayeva
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Abstract

The paper analyzes the prospects for the formation and implementation of digital data transmission technologies on railways of Kazakhstan, taking into account the potential for the development of high-speed railway transport (HSRWT), as well as new approaches for solving the development problems of advanced automated dispatch control systems (ADCS). It was shown that the solution of these problems is possible by automatization of the train traffic coordination based on the use of the potential of the GPRS data transmission technology. The work further developed models and algorithms used in ADCS of the railway transport. There has been carried out the formalization of the tasks of navigation data transmission for ADCS and for the subsystems of the railway rolling stock movement coordination, including HSRWT using GPRS data transmission technology. Also, the article describes a modernized algorithm for simulation of the GPRS channels operation in ADCS. The proposed algorithm differs from the existing ones by the ability to make predictive estimates for determination of the railway rolling stock location. Also, the developed algorithm provides opportunities for coordination of the trains movement, taking into account the optimization of the GPRS resources use.

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Authors and Affiliations

Bakhytzhan Akhmetov
Valeriy Lakhno
Gulzada Yerkeldessova
Taizhan Sarzhanov
Dmitriy Issaikin
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Abstract

A methodology for development for distributed computer network (DCN) information security system (IS) for an informatization object (OBI) was proposed. It was proposed to use mathematical modeling at the first stage of the methodology. In particular, a mathematical model was presented based on the use of the apparatus of probability theory to calculate the vulnerability coefficient. This coefficient allows one to assess the level of information security of the OBI network. Criteria for assessing the acceptable and critical level of risks for information security were proposed as well. At the second stage of the methodology development of the IS DCN system, methods of simulation and virtualization of the components of the IS DCN were used. In the course of experimental studies, a model of a protected DCN has been built. In the experimental model, network devices and DCN IS components were emulated on virtual machines (VMs). The DCN resources were reproduced using the Proxmox VE virtualization system. IPS Suricata was deployed on RCS hosts running PVE. Splunk was used as SIEM. It has been shown that the proposed methodology for the formation of the IS system for DCN and the model of the vulnerability coefficient makes it possible to obtain a quantitative assessment of the levels of vulnerability of DCN OBI.
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Authors and Affiliations

Valerii Lakhno
1
Zhuldyz Alimseitova
2
Yerbolat Kalaman
2
Olena Kryvoruchko
3
Alona Desiatko
3
Serhii Kaminskyi
3

  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  2. Satbayev University, Almaty, Kazakhtan
  3. Kyiv National University of Trade and Economics, Kyiv, Ukraine
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Abstract

An information security audit method (ISA) for a distributed computer network (DCN) of an informatization object (OBI) has been developed. Proposed method is based on the ISA procedures automation by using Bayesian networks (BN) and artificial neural networks (ANN) to assess the risks. It was shown that such a combination of BN and ANN makes it possible to quickly determine the actual risks for OBI information security (IS). At the same time, data from sensors of various hardware and software information security means (ISM) in the OBI DCS segments are used as the initial information. It was shown that the automation of ISA procedures based on the use of BN and ANN allows the DCN IS administrator to respond dynamically to threats in a real time manner, to promptly select effective countermeasures to protect the DCS.
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Authors and Affiliations

Berik Akhmetov
1
Valerii Lakhno
2
Vitalyi Chubaievskyi
3
Serhii Kaminskyi
3
Saltanat Adilzhanova
4
Moldir Ydyryshbayeva
4

  1. Yessenov University, Aktau, Kazakhstan
  2. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  3. Kyiv National University of Trade and Economics, Kyiv, Ukraine
  4. Al-Farabi Kazakh National University, Almaty, Kazakhstan
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Abstract

Additions were proposed to the method of organizing the information security (IS) event management process of companies. Unlike existing solutions, the algorithm of the "Event handling" subprocess was detailed. This detailing is a complex, which includes the IS event processing substage. In addition, the proposed detailing of the "Event Handling" subprocess allows for covering the entire life cycle of an IS event. The performed research allows in practice to fill in potential gaps in information when creating a company's ISMS. An additional advantage of the proposed solution is the possibility of using this sub-process as an independent one. The proposed approach makes it possible to simplify the procedure for managing the information security of a company as a whole, as well as potentially reduce the costs of its construction for small companies and enterprises. Also, this subprocess can be considered as an independent information security management process, for example, for a company's CIS. The proposed solutions and additions, in contrast to similar studies, are characterized by invariance with respect to the methods of implementing the company's IS infrastructure solutions, and in particular its CIS. This ultimately allows, without changing the methodological tools, to scale this approach and adapt it to the ISMS of various companies.
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Authors and Affiliations

Valerii Lakhno
1
Saltanat Adilzhanova
2
Moldir Ydyryshbayeva
2
Aliza Turgynbayeva
2
Olena Kryvoruchko
3
Vitalyi Chubaievskyi
3
Alona Desiatko
3

  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  2. Al-Farabi Kazakh National University, Almaty, Kazakhstan
  3. Kyiv National University of Trade and Economics, Kyiv, Ukraine
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Abstract

A hardware-software system has been implemented to monitor the environmental state (EnvState) at the site of railway (RY) accidents and disasters. The proposed hardware-software system consists of several main components. The first software component, based on the queueing theory (QT), simulates the workload of emergency response units at the RY accident site. It also interacts with a central data processing server and information collection devices. A transmitter for these devices was built on the ATmega328 microcontroller. The hardware part of the environmental monitoring system at the RY accident site is also based on the ATmega328 microcontroller. In the hardwaresoftware system for monitoring the EnvState at the RY accident site, the data processing server receives information via the MQTT protocol from all devices about the state of each sensor and the device's location at the RY accident or disaster site, accompanied by EnvState contamination. All data is periodically recorded in a database on the server in the appropriate format with timestamps. The obtained information can then be used by specialists from the emergency response headquarters.
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Authors and Affiliations

Valerii Lakhno
1
Maira Shalabayeva
2
Olena Kryvoruchko
3
Alona Desiatko
3
Vitalyi Chubaievskyi
3
Zhibek Alibiyeva
4

  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  2. Kazakh University Ways of Communications, Almaty, Kazakhstan
  3. State University of Trade and Economics, Kyiv, Ukraine
  4. Department of Software Engineering, SatbayevUniversity, Almaty, Kazakhstan
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Abstract

A methodology is proposed for modifying computer ontologies (CO) for electronic courses (EC) in the field of information and communication technologies (ICT) for universities, schools, extracurricular institutions, as well as for the professional retraining of specialists. The methodology includes the modification of CO by representing the formal ontograph of CO in the form of a graph and using techniques for working with the graph to find optimal paths on the graph using applied software (SW). A genetic algorithm (GA) is involved in the search for the optimal CO. This will lead to the division of the ontograph into branches and the ability to calculate the best trajectory in a certain sense through the EC educational material, taking into account the syllabus. An example is considered for the ICT course syllabus in terms of a specific topic covering the design and use of databases. It is concluded that for the full implementation of this methodology, a tool is needed that automates this procedure for developing EC and/or electronic textbooks. An algorithm and a prototype of software tools are also proposed, integrating machine methods of working with CO and graphs.
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Authors and Affiliations

Nazym Sabitova
1
Yuriy Tikhonov
2
Valerii Lakhno
3
Makulov Kariyrbek
4
Olena Kryvoruchko
5
Vitalyi Chubaievskyi
5
Alona Desiatko
5
Mereke Zhumadilova
4

  1. Eurasian National University, Astana, Kazakhstan
  2. Luhansk Taras Shevchenko National University, Poltava, Ukraine
  3. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  4. Yessenov University, Aktau, Kazakhstan
  5. State University of Trade and Economics, Kyiv, Ukraine

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