Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Minh-Quang Tran"'
Publikováno v:
Frontiers in Mechanical Engineering, Vol 9 (2023)
Externí odkaz:
https://doaj.org/article/cf9d995d695442219f633930bc37df79
Autor:
Minh-Quang Tran, Mahmoud Elsisi, Meng-Kun Liu, Viet Q. Vu, Karar Mahmoud, Mohamed M. F. Darwish, Almoataz Y. Abdelaziz, Matti Lehtonen
Publikováno v:
IEEE Access, Vol 10, Pp 23186-23197 (2022)
This paper introduces a new intelligent integration between an IoT platform and deep learning neural network (DNN) algorithm for the online monitoring of computer numerical control (CNC) machines. The proposed infrastructure is utilized for monitorin
Externí odkaz:
https://doaj.org/article/b6904d1a9f2742e6b6fec1d73a4b8e25
Autor:
Viet Q. Vu, Minh-Quang Tran, Mohammed Amer, Mahesh Khatiwada, Sherif S. M. Ghoneim, Mahmoud Elsisi
Publikováno v:
Information, Vol 14, Iss 7, p 379 (2023)
Facial mask detection technology has become increasingly important even beyond the context of the COVID-19 pandemic. Along with the advancement in facial recognition technology, face mask detection has become a crucial feature for various application
Externí odkaz:
https://doaj.org/article/3030de7aa14f46d3a0e2b15f16eeb40a
Publikováno v:
IEEE Access, Vol 9, Pp 37894-37904 (2021)
Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient measuring devices and the environmental impacts (e.g. temperature, humidity, and noise signals) af
Externí odkaz:
https://doaj.org/article/0cde3bd2f0be4ab08d84c1fbaab87757
Autor:
Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Diaa-Eldin A. Mansour, Matti Lehtonen, Mohamed M. F. Darwish
Publikováno v:
IEEE Access, Vol 9, Pp 78415-78427 (2021)
Recently, the Internet of Things (IoT) has an important role in the growth and development of digitalized electric power stations while offering ambitious opportunities, specifically real-time monitoring and cybersecurity. In this regard, this paper
Externí odkaz:
https://doaj.org/article/8685131f2e684b99a2f9b9c5958176cd
Autor:
Minh-Quang Tran, Mahmoud Elsisi, Karar Mahmoud, Meng-Kun Liu, Matti Lehtonen, Mohamed M. F. Darwish
Publikováno v:
IEEE Access, Vol 9, Pp 115429-115441 (2021)
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-physic systems (CPS) in order to improve the industrial environment. Accordingly, the application of IoT and CPS has been expanded in applied electrical
Externí odkaz:
https://doaj.org/article/45b9b0db749b40a69ab1141e75f74ff5
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3287 (2022)
This study aims to develop an accurate dynamic cutting force model in the milling process. In the proposed model, the estimated cutting force tackles the effect of the self-excited vibration that causes machining instability during the cutting proces
Externí odkaz:
https://doaj.org/article/ae4cb5dd711c4d8ea8a0799bef799ace
Autor:
Mahmoud Elsisi, Minh-Quang Tran
Publikováno v:
Sensors, Vol 21, Iss 24, p 8467 (2021)
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on a developed deep neural network (DNN) with a rectified linear unit in order to provide reliable and secure online monitoring for automated guided veh
Externí odkaz:
https://doaj.org/article/5ccc9f56ee5f4262a7fd243d1a6d5542
Autor:
Mahmoud Elsisi, Minh-Quang Tran, Hany M. Hasanien, Rania A. Turky, Fahad Albalawi, Sherif S. M. Ghoneim
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2885 (2021)
This paper introduces a robust model predictive controller (MPC) to operate an automatic voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the AVR parameters. Frequency domain conditions are derived from the Hermit
Externí odkaz:
https://doaj.org/article/49aa2812a4d34b0c8a55a3e9f26ec35f
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
Induction machines are widely used in the industry as one of the major actuators, such as water pumps, air compressors, and fans. It is necessary to monitor and diagnose these induction motors to prevent any sudden shut downs caused by premature fail
Externí odkaz:
https://doaj.org/article/0a9864a602f3405d9d280f03aaab0797