Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

About: Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan is a education organization based out in Dnipro, Ukraine. It is known for research contribution in the topics: Track (rail transport) & Bogie. The organization has 736 authors who have published 655 publications receiving 1468 citations. The organization is also known as: Institute of Railway Transport Engineers.

Plagiarism detection problems and analysis software tools for its solve

Abstract: Purpose. This study is aimed at: 1) the definition of plagiarism in texts on formal and natural languages, building a taxonomy of plagiarism; 2) identify major problems of plagiarism detection when using automated tools to solve them; 3) Analysis and systematization of information obtained during the review, testing and analysis of existing detection systems. Methodology. To identify the requirements of the software to detect plagiarism apply methods of analysis of normative documentation (legislative base) and competitive tools. To check the requirements of the testing methods used and GUI interfaces review. Findings. The paper considers the concept of plagiarism issues of proliferation and classification. A review of existing systems to identify plagiarism: desktop applications, and online resources. Highlighting their functional characteristics, determine the format of the input and output data and constraints on them, customization features and access. Drill down system requirements is made. Originality. The authors proposed schemes complement the existing hierarchical taxonomy of plagiarism. Analysis of existing systems is done in terms of functionality and possibilities for use of large amounts of data. Practical value. The practical significance is determined by the breadth of the problem of plagiarism in various fields. In Ukraine, develops the legal framework for the fight against plagiarism, which requires the active solution development tasks, improvement and delivery of relevant software (PO). This work contributes to the solution of these problems. Review of existing programs, Anti-plagiarism, as well as study and research experience in the field and update the concept of plagiarism, the strategy allows it to identify more fully articulate to the functional performance requirements, the input and output of the developed software, as well as to identify the features of such software. The article focuses on the features of solving the problem of identification of borrowing in an academic environment.

Computer modeling of air pollution in case of dust cloud movement in open pit mine

Abstract: Purpose. Explosions in open pits lead to the formation of dust clouds. These clouds lead to intense air pollution. An important task is the development of methods for predicting the dynamics of atmospheric air pollution during explosions in open pits. The purpose of this work is development of a numerical model to predict atmosphere pollution after explosion in open mine pit. The task is to develop a numerical model that would allow for the calculation to take into account the geometrical shape of the open pit mine, the parameters of the meteorological situation (wind speed, atmosphere), the shape of the dust cloud that is formed in the open pit mine at the site of the explosion. Methodology. Mathematical modeling of dust cloud dispersion during an explosion in an open pit mine is based on the use of fundamental equations of aerodynamics and mass transfer. The airflow velocity field in the open pit mine is modeled using the Laplace equation for the velocity potential. The formation of the concentration field of dust is modeled on the basis of the equation of convective-diffusion dispersion of an impurity. For numerical integration of modeling equations, difference schemes are used. The Laplace equation for the velocity potential is numerically integrated using the Richardson method. For the numerical integration of the convective-diffusion dispersion equation for an impurity, an implicit difference splitting scheme is used. Findings . A CFD model has been developed that allows you to calculate the formation of pollution zones during the movement of a dust cloud in the open pit mine. A feature of the developed model is the speed of calculation. For practical use of the developed model, standard input information is required. Originality . In contrast to the existing models in Ukraine, the developed numerical model allows taking into account the geometrical shape of the open pit mine and the geometrical shape of the dust cloud when making predictive calculations to assess the level of air pollution caused by explosions in open pits. Practical value . The developed numerical model can be implemented on computers of low and medium power. For practical use of the numerical model, standard information on meteorological conditions in open pit mine is required. The numerical model can be used for environmental assessment of the effect of explosions in open pit mine on environmental pollution and work areas.

Numerical simulation of air pollution in case of unplanned ammonia release

Abstract: Purpose. Development fast calculating model which takes into account the meteorological parameters and buildings which are situated near the source of toxic chemical emission. Methodology. The developed model is based on the equation for potential flow and equation of pollutant dispersion. Equation of potential flow is used to compute wind pattern among buildings. To solve equation for potential flow Samarskii implicit difference scheme is used. The implicit change – triangle difference scheme is used to solve equation of mass transfer. Numerical integration is carried out using the rectangular difference grid. Method of porosity technique («markers method») is used to create the form of comprehensive computational region. Emission of ammonia is modeled using Delta function for point source. Findings. Developed 2D numerical model belongs to the class of «diagnostic models». This model takes into account the main physical factors affecting the process of dispersion of pollutants in the atmosphere. The model takes into account the influence of buildings on pollutant dispersion. On the basis of the developed numerical models a computational experiment was carried out to estimate the level of toxic chemical pollution in the case of unplanned ammonia release at ammonia pump station. Originality. Developed numerical model allows to calculate the 2D wind pattern among buildings and pollutant dispersion in the case unplanned ammonia release. Model allows to perform fast calculations of the atmosphere pollution. Practical value. The model can be used when developing the PLAS (Emergency Response Plan).

Network traffic forcasting in information-telecommunication system of Prydniprovsk Railways based on neuro-fuzzy network

Abstract: Purpose . Continuous increase in network traffic in the information-telecommunication system (ITS) of Prydniprovsk Railways leads to the need to determine the real-time network congestion and to control the data flows. One of the possible solutions is a method of forecasting the volume of network traffic (inbound and outbound) using neural network technology that will prevent from server overload and improve the quality of services. Methodology. Analysis of current network traffic in ITS of Prydniprovsk Railways and preparation of sets: learning, test and validation ones was conducted as well as creation of neuro-fuzzy network (hybrid system) in Matlab program and organization of the following phases on the appropriate sets: learning, testing, forecast adequacy analysis. Findings. For the fragment (Dnipropetrovsk – Kyiv) in ITS of Prydniprovsk Railways we made a forecast (day ahead) for volume of network traffic based on the hybrid system created in Matlab program; MAPE values are as follows: 6.9% for volume of inbound traffic; 7.7% for volume of outbound traffic. It was found that the average learning error of the hybrid system decreases in case of increase in: the number of inputs (from 2 to 4); the number of terms (from 2 to 5) of the input variable; learning sample power (from 20 to 100). A significant impact on the average learning error of the hybrid system is caused by the number of terms of its input variable. It was determined that the lowest value of the average learning error is provided by 4-input hybrid system, it ensures more accurate learning of the neuro-fuzzy network by the hybrid method. Originality. The work resulted in the dependences for the average hybrid system error of the network traffic volume forecasting for the fragment (Dnipropetrovsk-Kyiv) in ITS Prydniprovsk Railways on: the number of its inputs, the number of input variable terms, the learning sample power for different learning methods. Practical value . Forecasting of network traffic volume in ITS of Prydniprovsk Railways will allow for real-time identification of the network congestion and control of data flows.

Experimental study of horizontal pressure distribution on corrugated steel silo walls

Abstract: Purpose The paper aims: 1) qualitative assessment of the nature of the container corrugated wall deformation caused by the load from bulk materials 2) determination of the horizontal pressure redistribution scheme for each individual corrugation plate and the calculation method that is closer to the real situation 3) obtaining the quantitative deformation indicators to compare them with the calculated ones produced by means of mathematical model simulation Methodology To achieve this purpose the different types of capacitive structure profiles were investigated and the values of total vertical displacement under load were obtained The computational experiment used the design computer system Structure CAD for Windows In addition, the laboratory experiment was conducted, the analysis of which is important to confirm the correctness of pre-made computer models Findings The conducted experiment allowed receiving the confirmation of the FEM calculated data, namely qualitatively and quantitatively the deformation direction and nature completely repeated the design situation in SCAD The work of corrugated profile was analysed for different theoretically possible load schemes and different calculation methods Also the work contains the recommendations for the real calculation using computer simulation During a joint study the authors obtained the data that allow for more accurate assessment of the corrugated profile performance under the pressure from bulk materials Originality The conducted research and experimental tests explain and clarify the ways for possible redistribution of bulk material pressure on each corrugation plate, while there is no such information in the existing recommendation literature and regulatory framework concerning the capacitive structure design Practical value The use of the proposed solutions is useful for correct design of containers with corrugated walls during further calculations and search of new directions for future research