Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Seref Naci Engin"'
Autor:
Aisha Sir Elkhatem, Seref Naci Engin
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 8, Pp 6275-6292 (2022)
Unmanned aerial vehicles (UAVs) are subject to the wind and other environmental disturbances that can destabilize them. The high performance and robustness of the Linear Quadratic Regulator (LQR) controllers ensure the ability to reduce the deviation
Externí odkaz:
https://doaj.org/article/9308867b3c0e4203bc1616bf0b1a2178
Autor:
Aisha Sir Elkhatem, Seref Naci Engin, Amjad Ali Pasha, Mustafa Mutiur Rahman, Subramania Nadaraja Pillai
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11705 (2021)
This study is concerned with developing a robust tracking control system that merges the optimal control theory with fractional-order-based control and the heuristic optimization algorithms into a single framework for the non-minimum phase pitch angl
Externí odkaz:
https://doaj.org/article/043c08a4360b43759d6b8505cd46163d
Autor:
Ömer Gürsoy, Seref Naci Engin
Publikováno v:
Measurement + Control, Vol 52 (2019)
This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system. This work basically aims to present the daily discharge predictions
Externí odkaz:
https://doaj.org/article/7f68520d293f4bfb8985dad159583db7
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a92345c9ca6b86a1a02804491721135
https://doi.org/10.1109/sta56120.2022.10018989
https://doi.org/10.1109/sta56120.2022.10018989
Autor:
Aisha Sir Elkhatem, Seref Naci Engin
Publikováno v:
Expert Systems with Applications. 213:118859
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b8a856c2eeeb478e7e0af13a44675dc
https://doi.org/10.1016/j.eswa.2022.118859
https://doi.org/10.1016/j.eswa.2022.118859
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8a2a5844ff642fc180cd5c1b10fc557
https://doi.org/10.2139/ssrn.4090741
https://doi.org/10.2139/ssrn.4090741
Publikováno v:
SIU
Applications running in a distributed network architecture such as industrial automation, Internet of Things (IoT), and avionics systems need time synchronization. IEEE 1588 precision time protocol (PTP), which has been heavily used in these applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7680b67f3a266644ad60a6b2674f711a
https://doi.org/10.1109/siu53274.2021.9477784
https://doi.org/10.1109/siu53274.2021.9477784
Autor:
Buse Tacal Ucun, Şeref Naci Engin
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 8, Pp 102832- (2024)
This paper addresses strategies for enhancing the operational management of canal systems, aiming to reduce water losses resulting from overflows that arise due to inadequate water level control during canal operations. The study focuses on nonlinear
Externí odkaz:
https://doaj.org/article/a7a20117929141f6a3ec36c99df8bc08
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11175 (2024)
Machine learning has significantly advanced traffic surveillance and management, with YOLO (You Only Look Once) being a prominent Convolutional Neural Network (CNN) algorithm for vehicle detection. This study utilizes YOLO version 7 (YOLOv7) combined
Externí odkaz:
https://doaj.org/article/ddce0aa4d97d44d78a25825168b7cd67
Autor:
Seref Naci Engin, Harun Turan
Publikováno v:
SIU
In this paper, the controller designed to suppress the beam jitter using a fast streering mirror and its performance on the real system are demonstrated. The main factor of the jitter, addressed as as the shift of the center of the laser beam, is tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3c12bf355df711902923aeadbd5dcfa
https://doi.org/10.1109/siu49456.2020.9302033
https://doi.org/10.1109/siu49456.2020.9302033