Zobrazeno 1 - 10
of 1 516
pro vyhledávání: '"SACHENKO, A."'
Since the photoconversion efficiency $\eta$ of the silicon-based solar cells (SCs) under laboratory conditions is approaching the theoretical fundamental limit, further improvement of their performance requires theoretical modeling and/or numerical s
Externí odkaz:
http://arxiv.org/abs/2409.01101
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 14, Iss 3, Pp 101-106 (2014)
Results of studying the neural network method are presented to reduce the amount of calibration points for the multisensor (MS), in particular for the photodiode. This allows transmitting to the MS individual conversion function and provides the hi
Externí odkaz:
https://doaj.org/article/06e8dd30feff4c40bb6c40ae08a15ee6
Autor:
L. A. Sachenko
Publikováno v:
Стратегические решения и риск-менеджмент, Vol 15, Iss 1, Pp 66-75 (2024)
The purpose of this study is to identify ways to improve the effectiveness of risk management, thereby bridging the gap between the increasing needs of organisations and their current capabilities based on the study of past civilisational crises. To
Externí odkaz:
https://doaj.org/article/baa2a4d9eea04c5c8a32d048f3bdfd3f
The recombination rate in the space charge region (SCR) of a silicon-based barrier structure with long Shockley-Reed-Hall lifetime is calculated theoretically taking into account the concentration gradient of excess electron-hole pairs in the base re
Externí odkaz:
http://arxiv.org/abs/2301.08737
Autor:
Sachenko Andrii O.
Publikováno v:
Bìznes Inform, Vol 4, Iss 555, Pp 128-137 (2024)
The aim of the article is to form the conceptual foundations of strategizing the development of industries under neo-industrialization with the application of the methodology for identifying strategic goals, objectives and measures and taking into ac
Externí odkaz:
https://doaj.org/article/8a03e7037ba8438e91694d0a77c5125c
Autor:
Serhii Vladov, Arkadiusz Banasik, Anatoliy Sachenko, Wojciech M. Kempa, Valerii Sokurenko, Oleksandr Muzychuk, Piotr Pikiewicz, Agnieszka Molga, Victoria Vysotska
Publikováno v:
Sensors, Vol 24, Iss 19, p 6488 (2024)
This research focused on the helicopter turboshaft engine dynamic model, identifying task solving in unsteady and transient modes (engine starting and acceleration) based on sensor data. It is known that about 85% of helicopter turboshaft engines ope
Externí odkaz:
https://doaj.org/article/f12d01e283124c289b0e20fd707306fa
Autor:
Herman Fesenko, Oleg Illiashenko, Vyacheslav Kharchenko, Kyrylo Leichenko, Anatoliy Sachenko, Lukasz Scislo
Publikováno v:
Sensors, Vol 24, Iss 17, p 5707 (2024)
The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production f
Externí odkaz:
https://doaj.org/article/91391b08bf664c25b1670d228870665c
Autor:
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Anatoliy Sachenko, Alexey Yurko
Publikováno v:
Energies, Vol 17, Iss 16, p 4033 (2024)
The work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neuro-fuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing op
Externí odkaz:
https://doaj.org/article/701053e32f744cbaaff16b48b1b40aaa
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 3, Pp 108-120 (2023)
Urban development is an important problem that can be solved with the help of intelligent information systems. Such systems ensure efficient management of the city’s diverse infrastructure. The researchers developed a concept of such an information
Externí odkaz:
https://doaj.org/article/7657fbb81fa146d980f29d26f22c2282
Autor:
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Serhii Osadchy, Anatoliy Sachenko
Publikováno v:
Sensors, Vol 24, Iss 13, p 4246 (2024)
The article’s main provisions are the development and application of a neural network method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals. This allows you to effectively correct sensor data in real time, ensuring
Externí odkaz:
https://doaj.org/article/c340ea5c38984c82ae73156f0529beec