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Methodology for the Study of Meteorological Information Distribution between Regions. / Zaitseva, Irina; Malafeyev, Oleg; Sedunova, Olga; Orel, Yulia; Zubov, Afanasy; Ugegov, Nikita.

2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE : Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 163-166.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Zaitseva, I, Malafeyev, O, Sedunova, O, Orel, Y, Zubov, A & Ugegov, N 2018, Methodology for the Study of Meteorological Information Distribution between Regions. в 2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE : Proceedings. Institute of Electrical and Electronics Engineers Inc., стр. 163-166, 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE), Lipetsk, Российская Федерация, 26/05/22. https://doi.org/10.1109/TELE55498.2022.9801021

APA

Zaitseva, I., Malafeyev, O., Sedunova, O., Orel, Y., Zubov, A., & Ugegov, N. (2018). Methodology for the Study of Meteorological Information Distribution between Regions. в 2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE : Proceedings (стр. 163-166). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TELE55498.2022.9801021

Vancouver

Zaitseva I, Malafeyev O, Sedunova O, Orel Y, Zubov A, Ugegov N. Methodology for the Study of Meteorological Information Distribution between Regions. в 2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE : Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. стр. 163-166 https://doi.org/10.1109/TELE55498.2022.9801021

Author

Zaitseva, Irina ; Malafeyev, Oleg ; Sedunova, Olga ; Orel, Yulia ; Zubov, Afanasy ; Ugegov, Nikita. / Methodology for the Study of Meteorological Information Distribution between Regions. 2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE : Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 163-166

BibTeX

@inproceedings{67df7c27ed6049bd800056ff90203f9f,
title = "Methodology for the Study of Meteorological Information Distribution between Regions",
abstract = "In this work a network is studied, the nodes being the regions between which it is necessary to distribute meteorological information coming from its source. The subject of the study is weather stations (the main components of the network) and meteorological information produced by them. Any weather stations are complex techno-economic systems, which are conjoined by the need to supply them with the main resource for the meteorological information production and the need for its distribution. The authors developed a model of the meteorological information distribution between the regions with certain conditions based on the model of obtaining, distributing and transmitting meteorological information in a general form. Using the model, based on the initial data, it is possible to decide how to distribute the produced meteorological information between the regions so as to maximize the profit of weather stations. The described model includes a sub-task solution. The purpose of the model study is to maximize profit based on the initial data.",
keywords = "mathematical model, meteorological information, modeling, network",
author = "Irina Zaitseva and Oleg Malafeyev and Olga Sedunova and Yulia Orel and Afanasy Zubov and Nikita Ugegov",
note = "I. Zaitseva, O. Malafeyev, O. Sedunova, Y. Orel, A. Zubov and N. Ugegov, {"}Methodology for the Study of Meteorological Information Distribution between Regions,{"} 2022 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE), Lipetsk, Russian Federation, 2022, pp. 163-166, doi: 10.1109/TELE55498.2022.9801021.; 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE) ; Conference date: 26-05-2022 Through 27-05-2022",
year = "2018",
month = dec,
day = "31",
doi = "10.1109/TELE55498.2022.9801021",
language = "English",
isbn = "978-1-6654-7008-7",
pages = "163--166",
booktitle = "2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Methodology for the Study of Meteorological Information Distribution between Regions

AU - Zaitseva, Irina

AU - Malafeyev, Oleg

AU - Sedunova, Olga

AU - Orel, Yulia

AU - Zubov, Afanasy

AU - Ugegov, Nikita

N1 - I. Zaitseva, O. Malafeyev, O. Sedunova, Y. Orel, A. Zubov and N. Ugegov, "Methodology for the Study of Meteorological Information Distribution between Regions," 2022 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE), Lipetsk, Russian Federation, 2022, pp. 163-166, doi: 10.1109/TELE55498.2022.9801021.

PY - 2018/12/31

Y1 - 2018/12/31

N2 - In this work a network is studied, the nodes being the regions between which it is necessary to distribute meteorological information coming from its source. The subject of the study is weather stations (the main components of the network) and meteorological information produced by them. Any weather stations are complex techno-economic systems, which are conjoined by the need to supply them with the main resource for the meteorological information production and the need for its distribution. The authors developed a model of the meteorological information distribution between the regions with certain conditions based on the model of obtaining, distributing and transmitting meteorological information in a general form. Using the model, based on the initial data, it is possible to decide how to distribute the produced meteorological information between the regions so as to maximize the profit of weather stations. The described model includes a sub-task solution. The purpose of the model study is to maximize profit based on the initial data.

AB - In this work a network is studied, the nodes being the regions between which it is necessary to distribute meteorological information coming from its source. The subject of the study is weather stations (the main components of the network) and meteorological information produced by them. Any weather stations are complex techno-economic systems, which are conjoined by the need to supply them with the main resource for the meteorological information production and the need for its distribution. The authors developed a model of the meteorological information distribution between the regions with certain conditions based on the model of obtaining, distributing and transmitting meteorological information in a general form. Using the model, based on the initial data, it is possible to decide how to distribute the produced meteorological information between the regions so as to maximize the profit of weather stations. The described model includes a sub-task solution. The purpose of the model study is to maximize profit based on the initial data.

KW - mathematical model

KW - meteorological information

KW - modeling

KW - network

UR - http://www.scopus.com/inward/record.url?scp=85134179334&partnerID=8YFLogxK

U2 - 10.1109/TELE55498.2022.9801021

DO - 10.1109/TELE55498.2022.9801021

M3 - Conference contribution

AN - SCOPUS:85134179334

SN - 978-1-6654-7008-7

SP - 163

EP - 166

BT - 2022 2nd International Conference on Technology Enhanced Learning in Higher Education, TELE

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE)

Y2 - 26 May 2022 through 27 May 2022

ER -

ID: 103257601