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Use of p -adic numbers in urban resource networks data analysis

НазваUse of p -adic numbers in urban resource networks data analysis
Назва англійськоюUse of p -adic numbers in urban resource networks data analysis
АвториOleksandr Matsiuk
ПринадлежністьTernopil Ivan Puluj National Technical University, Ternopil, Ukraine
Бібліографічний описUse of p -adic numbers in urban resource networks data analysis / Oleksandr Matsiuk // Scientific Journal of TNTU. — Tern.: TNTU, 2021. — Vol 104. — No 4. — P. 58–67.
Bibliographic description:Matsiuk O. (2021) Use of p -adic numbers in urban resource networks data analysis. Scientific Journal of TNTU (Tern.), vol 104, no 4, pp. 58–67.
DOI: https://doi.org/10.33108/visnyk_tntu2021.04.058
УДК

004.9

Ключові слова

smart city, data hypercube, -adic numbers, hierarchy tree.

The implementation of the concept «smart city» has required, in particular, the development and efficient use of new mathematical methods and approaches enabling the data hypercube analysis to be made efficiently and constructively, data transfer processes to be initiated, etc.

ISSN:2522-4433
Перелік літератури
  1. M. Scriney, and M. Roantree, Efficient cube construction for smart city data. 2016.
  2. Khrennykov A. Iu., Shelkovych V. M. Sovremennyi p-adycheskyi analyz y matematycheskaia fyzyka: teoryia y prylozhenyia. Moskva: Fyzmatlyt, 2012. 452 p. [In Russian].
  3. Katok S. p-Adic Analysis Compared with Real. In. Eds. USA: American Mathematical Society, 2007. P. 152.
  4. Khrennikov A. Y. (1997). Non-Archimedean Analysis: Quantum paradoxes, Dynamical systems and Biological models. In. Eds. Dordrecht: Kluwer Academic Publisher. P. 376.
  5. Matsiuk O., Duda O., Kunanets N., Pasichnyk V., Rzheuskyi A. Aggregation, Storing, Multidimensional Representation and Processing of COVID-19 Data. CSIT 2020: Advances in Intelligent Systems and Computing V. P. 875–889.
  6. Matsiuk O., Duda O., Kunanets N. Formation of Hypercubes Based on Data Obtained from Systems of IoT Devices of Urban Resource Networks. International Journal of Sensors, Wireless Communications and Control. Volume 11. Issue 5. 2021. P. 498–504.
References:
  1. M. Scriney, and M. Roantree, Efficient cube construction for smart city data. 2016.
  2. Khrennykov A. Iu., Shelkovych V. M. Sovremennyi p-adycheskyi analyz y matematycheskaia fyzyka: teoryia y prylozhenyia. Moskva: Fyzmatlyt, 2012. 452 p. [In Russian].
  3. Katok S. p-Adic Analysis Compared with Real. In. Eds. USA: American Mathematical Society, 2007. P. 152.
  4. Khrennikov A. Y. (1997). Non-Archimedean Analysis: Quantum paradoxes, Dynamical systems and Biological models. In. Eds. Dordrecht: Kluwer Academic Publisher. P. 376.
  5. Matsiuk O., Duda O., Kunanets N., Pasichnyk V., Rzheuskyi A. Aggregation, Storing, Multidimensional Representation and Processing of COVID-19 Data. CSIT 2020: Advances in Intelligent Systems and Computing V. P. 875–889.
  6. Matsiuk O., Duda O., Kunanets N. Formation of Hypercubes Based on Data Obtained from Systems of IoT Devices of Urban Resource Networks. International Journal of Sensors, Wireless Communications and Control. Volume 11. Issue 5. 2021. P. 498–504.
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