Том 7, № 10 (2019)

Мұқаба

Бүкіл шығарылым

Solution for the fluid dynamics problems by the discontinuous Galerkin method in the curvolinear coordinate system

Kapustina E., Albikov R., Kulyagin A., Frolov T., Chaldaev A.

Аннотация

The development of a method for solving the one-dimensional fluid dynamics equation by the discontinuous Galerkin method is considered. Test calculations have been done for the problem of a strong point explosion.

Ogarev-online. 2019;7(10):
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SCADA system for automated climate control

Ilchenko P., Shamaev A.

Аннотация

The article describes the SCADA system for automated climate control. The main controlled parameters and implementation of the system construction are given.

Ogarev-online. 2019;7(10):
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Application of fuzzy c-means clustering algorithm for image segmentation

Kurbatov D., Egorova D.

Аннотация

Application of fuzzy clustering algorithm with с-means for image analysis is considered in this article. A software implementation of the algorithm in C# is provided.

Ogarev-online. 2019;7(10):
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Asymptotic equivalence of two-stage difference schemes

Sidorenko D., Muryumin S.

Аннотация

Value estimations for fluctuations of difference schemes’ matrix operators, which provide asymptotic equivalence of these schemes, are obtained. Numeric experiments for the confirmation of theoretic results are described.

Ogarev-online. 2019;7(10):
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Development of software system for automated processing of mechanical test results

Koknaev N., Firsova S.

Аннотация

The article considers a software system developed by the authors, which performs automated processing of the results of mechanical tests carried out on the vibration stand: calculation of the optimal weight coefficients to approximate the actual acceleration recorded on the device to the target acceleration; finding the resonant frequencies recorded during the test of the tested product.

Ogarev-online. 2019;7(10):
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Automation of distribution and production of products for food industry

Polyaeva I., Mamedova T.

Аннотация

The study deals with the development and automation of the effective (optimal) distribution of production and production management based on the software "1C: Manufacturing Enterprise Management".

Ogarev-online. 2019;7(10):
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Designing and implementing software and information system for ridesharing

Kiselev V., Firsova S.

Аннотация

The article presents an overview of ridesharing software. The authors consider the main stages of modeling, designing and implementing their own software and information system designed to automate the interaction between the car driver and the travelling companion.

Ogarev-online. 2019;7(10):
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Integration of equipment of different manufacturers for electromagnetic compatibility testing

Belov V., Evdokimov A., Kumakshev A.

Аннотация

The article describes the use of the software EMC32, which allows integrating equipment produced by different manufacturers for conducting tests of electromagnetic compatibility. The role of the test complex in the system architecture is defined.

Ogarev-online. 2019;7(10):
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Designing and implementing software and information system for automation of veterinary pharmacy

Chekurova A.

Аннотация

The article provides an analysis of the functionality of automated information systems for veterinary pharmacies and their chains. Doing a project of the automation of a veterinary pharmacy, the author describes the basic stages of software development for the information system: modeling, designing and implementing of the system components.

Ogarev-online. 2019;7(10):
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Algorithm of parameter identification of second-order dynamical system with small perturbations according to experimental data

Stenin I., Shamanaev P., Gorshunova T.

Аннотация

The problem of identifying the parameters of the second-order linear dynamical systems with small perturbations according to experimental data is solved by reducing it to the problem of minimizing a quadratic functional with constraints in the form of nonlinear algebraic equations. The calculations were carried out on three experimental data sets corresponding to the three types of singular points of a linear system: the saddle, the node, and the center.

Ogarev-online. 2019;7(10):
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