Zobrazeno 1 - 10
of 134
pro vyhledávání: '"ANATOLIY SACHENKO"'
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 5, p 66 (2024)
This article discusses the development of an enhanced monitoring and control system for helicopter turboshaft engines during flight operations, leveraging advanced neural network techniques. The research involves a comprehensive mathematical model th
Externí odkaz:
https://doaj.org/article/74804cd9176f4ddb97c77881141b871b
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
Publikováno v:
Sensors, Vol 24, Iss 6, p 1913 (2024)
In the context of Industry 4.0, one of the most significant challenges is enhancing efficiency in sectors like agriculture by using intelligent sensors and advanced computing. Specifically, the task of fruit detection and counting in orchards represe
Externí odkaz:
https://doaj.org/article/e68d11c8371046708743c699bda1b505
Autor:
Petro Mykytyuk, Vasyl Brych, Volodymyr Manzhula, Olena Borysiak, Anatoliy Sachenko, Arkadiusz Banasik, Wojciech M. Kempa, Yuliia Mykytyuk, Aleksandra Czupryna-Nowak, Iryna Lebid
Publikováno v:
Energies, Vol 17, Iss 3, p 575 (2024)
The sustainable implementation of resources and the transition to low-carbon construction is on the world’s daily agenda. This paper describes the development of criteria for the efficient management of material resources in low-carbon construction
Externí odkaz:
https://doaj.org/article/8c6528049ba34a938a9957da8e6bb23b
Autor:
Xinlin Liu, Viktor Krylov, Su Jun, Natalya Volkova, Anatoliy Sachenko, Galina Shcherbakova, Jacek Woloszyn
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6923-6939 (2022)
An important component of the computer systems of medical diagnostics in dermatology is the device for recognition of visual images (DRVI), which includes identification and segmentation procedures to build the image of the object for recognition. In
Externí odkaz:
https://doaj.org/article/921b50da6701484394cb227ee08823d9
Autor:
Khrystyna Lipianina-Honcharenko, Carsten Wolff, Anatoliy Sachenko, Ivan Kit, Diana Zahorodnia
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 157 (2023)
Anthropogenic disasters pose a challenge to management in the modern world. At the same time, it is important to have accurate and timely information to assess the level of danger and take appropriate measures to eliminate disasters. Therefore, the p
Externí odkaz:
https://doaj.org/article/a914877b07cc48b181e63e949a9ba306