Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/52227
Title: GDP in Value as a Measure for Evaluating Annual Data Flow Increase on IoT
Authors: Zhukov, Igor
Pechurin, Nickolay
Kondratova, Lyudmila
Pechurin, Sergey
Affiliation: National Aviation University
nstitute for Applied System Analysis of NTUU “Igor Sikorsky Kyiv Polytechnic Institute”
Bibliographic description (Ukraine): GDP in Value as a Measure for Evaluating Annual Data Flow Increase on IoT / Igor Zhukov, Nickolay Pechurin, Lyudmila Kondratova, Sergey Pechurin // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 137–142.
Bibliographic description (International): GDP in Value as a Measure for Evaluating Annual Data Flow Increase on IoT / Igor Zhukov, Nickolay Pechurin, Lyudmila Kondratova, Sergey Pechurin // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 137–142.
Is part of: Advances in Cyber-Physical Systems, 2 (4), 2019
Advances in Cyber-Physical Systems, 2 (4), 2019
Journal/Collection: Advances in Cyber-Physical Systems
Issue: 2
Issue Date: 26-Feb-2019
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Keywords: IOT
estimation
balance
GDP
Number of pages: 6
Page range: 137-142
Start page: 137
End page: 142
Abstract: The article deals with the problem of assessing the primary data load on the IOT, generated by the year. GDP in the money presentation has been used to estimate the amount of information that enters the network directly from things. Having advanced the postulate that the amount of data emanating from a thing is proportional to the product of its mass (thing) by its specific orderliness, it is concluded that it is possible to use a volume of the generated order principle. Dual model allowing to estimate objective thing’s prices, has been proposed.
URI: http://ena.lp.edu.ua:8080/handle/ntb/52227
Copyright owner: © Національний університет “Львівська політехніка”, 2019
© Zhukov I., Pechurin M., Kondratova L., Pechurin S., 2019
URL for reference material: http://vlp.com.ua/node/15426
References (Ukraine): [1] Zaychenko Yu. P., Pechurin N. K. Mathematical programming algorithm for determining the rational structure of a network of computer centers // Automated control and data processing systems. K.: Institute of Cybernetics of Ukrainian SSR AS, 1975, 4 p. (In Russian).
[2] A. Melnyk. Cyber-Physical Systems Multilayer Platform and Research Framework. Advances in Cyber-Physical Systems. Lviv Polytechnic Publishing House. V. 1, N. 1, 2016, P. 1–6. http://vlp.com.ua/node/15426.
[3] Kevin Ashton. That ‘Internet of Things’ Thing. In the real world, things matter more than ideas. In: RFID Journal ( June, 22, 2009).
[4] Zhukov І. А., Pechurin N. K., Kondratova L. P., Pechurina H. A. Method of estimating intensities of primary information streams generated by subscribers of computer network of things // Science-intensive technologies: a collection of scientific works, 2018, Issue 3(39), P. 308–313 (In Ukrainian).
[5] State Statistics Service of Ukraine. Retreived from www.ukrstat.gov.ua.
[6] CIA World Factbook / Central Intelligence Agency. Retreived from www.cia.gov.
References (International): [1] Zaychenko Yu. P., Pechurin N. K. Mathematical programming algorithm for determining the rational structure of a network of computer centers, Automated control and data processing systems. K., Institute of Cybernetics of Ukrainian SSR AS, 1975, 4 p. (In Russian).
[2] A. Melnyk. Cyber-Physical Systems Multilayer Platform and Research Framework. Advances in Cyber-Physical Systems. Lviv Polytechnic Publishing House. V. 1, N. 1, 2016, P. 1–6. http://vlp.com.ua/node/15426.
[3] Kevin Ashton. That ‘Internet of Things’ Thing. In the real world, things matter more than ideas. In: RFID Journal ( June, 22, 2009).
[4] Zhukov I. A., Pechurin N. K., Kondratova L. P., Pechurina H. A. Method of estimating intensities of primary information streams generated by subscribers of computer network of things, Science-intensive technologies: a collection of scientific works, 2018, Issue 3(39), P. 308–313 (In Ukrainian).
[5] State Statistics Service of Ukraine. Retreived from www.ukrstat.gov.ua.
[6] CIA World Factbook, Central Intelligence Agency. Retreived from www.cia.gov.
Content type: Article
Appears in Collections:Advances In Cyber-Physical Systems. – 2019. – Vol. 4, No. 2



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