Brownian fractal nature coronavirus motion
Нема приказа
Аутори
Mitić, Vojislav V.Lazović, Goran
Milošević, Dušan
Ristanović, Elizabeta
Simeunović, Dragan
Tsay, Shwu-Chen
Milošević, Mimica
Vlahović, Branislav
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The goal of our research is to establish the direction of coronavirus chaotic motion to control corona dynamic by fractal nature analysis. These microorganisms attaching the different cells and organs in the human body getting very dangerous because we don't have corona antivirus prevention and protection but also the unpredictable these viruses motion directions what resulting in very important distractions. Our idea is to develop the method and procedure to control the virus motion direction with the intention to prognose on which cells and organs could attach. We combined very rear coronavirus motion sub-microstructures images from worldwide experimental microstructure analysis. The problem of the recording this motion is from one point of view magnification, but the other side in resolution, because the virus size is minimum 10 times less than bacterizes. But all these images have been good data to resolve by time interval method and fractals, the points on the motion trajectory. W...e successfully defined the diagrams on the way to establish control over Brownian chaotic motion as a bridge between chaotic disorder to control disorder. This opens a very new perspective to future research to get complete control of coronavirus cases.
Кључне речи:
time interval method / fractals / Coronavirus / Brownian motionИзвор:
Modern Physics Letters B, 2021, 35, 4Издавач:
- World Scientific Publ Co Pte Ltd, Singapore
Финансирање / пројекти:
- Ministry for Education, Science and Technological Development of Serbia
DOI: 10.1142/S0217984921500767
ISSN: 0217-9849
WoS: 000617332000011
Scopus: 2-s2.0-85098965318
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Mitić, Vojislav V. AU - Lazović, Goran AU - Milošević, Dušan AU - Ristanović, Elizabeta AU - Simeunović, Dragan AU - Tsay, Shwu-Chen AU - Milošević, Mimica AU - Vlahović, Branislav PY - 2021 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3551 AB - The goal of our research is to establish the direction of coronavirus chaotic motion to control corona dynamic by fractal nature analysis. These microorganisms attaching the different cells and organs in the human body getting very dangerous because we don't have corona antivirus prevention and protection but also the unpredictable these viruses motion directions what resulting in very important distractions. Our idea is to develop the method and procedure to control the virus motion direction with the intention to prognose on which cells and organs could attach. We combined very rear coronavirus motion sub-microstructures images from worldwide experimental microstructure analysis. The problem of the recording this motion is from one point of view magnification, but the other side in resolution, because the virus size is minimum 10 times less than bacterizes. But all these images have been good data to resolve by time interval method and fractals, the points on the motion trajectory. We successfully defined the diagrams on the way to establish control over Brownian chaotic motion as a bridge between chaotic disorder to control disorder. This opens a very new perspective to future research to get complete control of coronavirus cases. PB - World Scientific Publ Co Pte Ltd, Singapore T2 - Modern Physics Letters B T1 - Brownian fractal nature coronavirus motion IS - 4 VL - 35 DO - 10.1142/S0217984921500767 ER -
@article{ author = "Mitić, Vojislav V. and Lazović, Goran and Milošević, Dušan and Ristanović, Elizabeta and Simeunović, Dragan and Tsay, Shwu-Chen and Milošević, Mimica and Vlahović, Branislav", year = "2021", abstract = "The goal of our research is to establish the direction of coronavirus chaotic motion to control corona dynamic by fractal nature analysis. These microorganisms attaching the different cells and organs in the human body getting very dangerous because we don't have corona antivirus prevention and protection but also the unpredictable these viruses motion directions what resulting in very important distractions. Our idea is to develop the method and procedure to control the virus motion direction with the intention to prognose on which cells and organs could attach. We combined very rear coronavirus motion sub-microstructures images from worldwide experimental microstructure analysis. The problem of the recording this motion is from one point of view magnification, but the other side in resolution, because the virus size is minimum 10 times less than bacterizes. But all these images have been good data to resolve by time interval method and fractals, the points on the motion trajectory. We successfully defined the diagrams on the way to establish control over Brownian chaotic motion as a bridge between chaotic disorder to control disorder. This opens a very new perspective to future research to get complete control of coronavirus cases.", publisher = "World Scientific Publ Co Pte Ltd, Singapore", journal = "Modern Physics Letters B", title = "Brownian fractal nature coronavirus motion", number = "4", volume = "35", doi = "10.1142/S0217984921500767" }
Mitić, V. V., Lazović, G., Milošević, D., Ristanović, E., Simeunović, D., Tsay, S., Milošević, M.,& Vlahović, B.. (2021). Brownian fractal nature coronavirus motion. in Modern Physics Letters B World Scientific Publ Co Pte Ltd, Singapore., 35(4). https://doi.org/10.1142/S0217984921500767
Mitić VV, Lazović G, Milošević D, Ristanović E, Simeunović D, Tsay S, Milošević M, Vlahović B. Brownian fractal nature coronavirus motion. in Modern Physics Letters B. 2021;35(4). doi:10.1142/S0217984921500767 .
Mitić, Vojislav V., Lazović, Goran, Milošević, Dušan, Ristanović, Elizabeta, Simeunović, Dragan, Tsay, Shwu-Chen, Milošević, Mimica, Vlahović, Branislav, "Brownian fractal nature coronavirus motion" in Modern Physics Letters B, 35, no. 4 (2021), https://doi.org/10.1142/S0217984921500767 . .