Zobrazeno 1 - 6
of 6
pro vyhledávání: '"D. M. Filatov"'
Publikováno v:
2017 IEEE II International Conference on Control in Technical Systems (CTS).
Small unmanned aircraft is made use in the constantly increasing number of applications. Unmanned aerial vehicles (UAV) are applied for aerial surveys, freight transportation, different measurements, surveillance and examination of various sites, etc
Publikováno v:
2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
This paper describes an approach for detection and recognition of traffic signs in real time with account for illumination and distance changes. A small single-board computer Raspberry Pi 2 and a webcam Hama AC-150 were used to implement the proposed
The direct-driven hydraulic drive (DDH) combines the advantages of compact high power of the hydraulic system and flexible control of the electric motor. This paper concentrates on modelling of the direct-driven hydraulic setup and investigating cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e120babeb36f7e7b36533689b2cc32e
https://doi.org/10.1109/SCM.2017.7970612
https://doi.org/10.1109/SCM.2017.7970612
Autor:
D. M. Filatov, Aleksey V. Devyatkin
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 695:012024
The paper deals with the implementation of the traffic signs detection model on the deep neural network basis. The complexity of the problem lies in the detected objects size. The paper considers the use of modern approaches to the deep neural networ
Publikováno v:
2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM).
In this paper, the quadrotor ESC-motor-propeller subsystem identified and computer model design for the quadrotor fuzzy logic control system is developed. Two controllers based on Fuzzy logic and PID were presented and examined with respect to their
Publikováno v:
2015 XVIII International Conference on Soft Computing and Measurements (SCM).
Application of genetic algorithm to the formation of the optimal structure of fuzzy neural networks used in the short-term forecasting of power consumption is presented.