Using and applying computer technologies for studying transient processes in electrical circuits

Sarinova, Assiya; Drobinsky, Alexander V.; Kirichenko, Lalita

doi:10.1063/5.0046562

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…The current of the primary winding is necessary to compensate for the demagnetizing effect of the current of the secondary winding of the transformer [4]. In the current of the secondary winding there is a constant component I 0 , which creates a constant magnetic flux Ф 20 .…”

Section: Comparative Studies Of Rectifier Devicesmentioning

confidence: 99%

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

Sarinova

Drobinsky

Kirichenko

2022

J. Phys.: Conf. Ser.

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Rectifier devices that convert alternating voltage into constant voltage are widely used in the energy industry. Laboratory studies allow us to obtain results showing the nature of the time dependencies of the operating parameters of rectifier devices. In this regard, the use of software tools allows for a more accurate, less time-consuming construction of time diagrams of the operating parameters of rectifier devices.

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Section: Comparative Studies Of Rectifier Devicesmentioning

confidence: 99%

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

Sarinova

Drobinsky

Kirichenko

2022

J. Phys.: Conf. Ser.

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Development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations

Sarinova

2021

E3S Web Conf.

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The paper describes the development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations for the purpose of subsequent compression in Earth remote sensing systems. As compression algorithms necessary to reduce the amount of transmitted information, it is proposed to use the developed compression methods based on Walsh-Hadamard transformations and discrete-cosine transformation. The paper considers a methodology for developing lossy and high-quality compression algorithms during recovery, taking into account which an adaptive algorithm for compressing hyperspectral AI and the generated quantization table has been developed. The conducted studies have shown that the proposed lossy algorithms have sufficient efficiency for use and can be applied when transmitting hyperspectral remote sensing data in conditions of limited buffer memory capacity and bandwidth of the communication channel.

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Regression Approach to Lossles Compression Algorithm for Hyperspectral Images

Sarinova

Neftissov

Bronin

2022

2022 International Conference on Smart Information Systems and Technologies (SIST)

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Using and applying computer technologies for studying transient processes in electrical circuits

Cited by 4 publications

References 7 publications

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

Development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations

Regression Approach to Lossles Compression Algorithm for Hyperspectral Images

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