Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Senthan Mathavan"'
Autor:
Fawad Khan, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Mohammed Alkahtani, Mohammed Almatani, Senthan Mathavan
Publikováno v:
IEEE Access, Vol 11, Pp 126611-126633 (2023)
The manufacturing industry has experienced remarkable progress as a result of integrating automated and intelligent production processes fueled by technological innovation, leading to substantial advancements. These advanced processes involve the use
Externí odkaz:
https://doaj.org/article/0c751589e2204b77b42b4441f8336cb3
Autor:
Adeel Asghar, Tahir Abdul Hussain Ratlamwala, Khurram Kamal, Mohammed Alkahtani, Emad Mohammad, Senthan Mathavan
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19562- (2023)
Combined Cycle Power Plants (CCPP) are an effective method for Power generation due to their high thermal efficiency, low fuel consumption, and low greenhouse emissions. However, investing millions into building a power plant without knowledge of the
Externí odkaz:
https://doaj.org/article/24127695be1f4c699f4f35364583efb1
Autor:
Haseeb Ahmed Khan, Uzair Bhatti, Khurram Kamal, Mohammed Alkahtani, Mustufa Haider Abidi, Senthan Mathavan
Publikováno v:
Sensors, Vol 23, Iss 16, p 7152 (2023)
Hydraulic systems are used in all kinds of industries. Mills, manufacturing, robotics, and Ports require the use of Hydraulic Equipment. Many industries prefer to use hydraulic systems due to their numerous advantages over electrical and mechanical s
Externí odkaz:
https://doaj.org/article/0d55ff2be52642f1a33835c0d3dde5e8
Autor:
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Marwan Bin Muhammad Alsultan
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5194 (2022)
The accurate prediction of aerodynamic properties is an essential requirement for the design of applications that involve fluid flows, especially in the aerospace industry. The aerodynamic characteristics of fluid flows around a wing or an airfoil ar
Externí odkaz:
https://doaj.org/article/802837cfe71049e7aad511f070886073
Autor:
Tayyab Zafar, Khurram Kamal, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Fahad M. Alqahtani, Mohamed K. Aboudaif
Publikováno v:
Sensors, Vol 21, Iss 23, p 8023 (2021)
Intelligent machining has become an important part of manufacturing systems because of the increased demand for productivity. Tool condition monitoring is an integral part of these systems. Airborne acoustic emission from the machining process is a v
Externí odkaz:
https://doaj.org/article/53a02c0858934787a0a3918c1975724c
Publikováno v:
Proceedings of the Institution of Civil Engineers - Transport. 176:14-24
Most performance prediction models for asphalt pavements are either based on laboratory data or numerical distress data collected from field surveys. However, these models do not fully reflect the true performance of pavements in different traffic an
Autor:
Senthan Mathavan, Mahbubur Rahman, Adeel Ahmed, Khurram Kamal, Moeez Ashfaque, Muhammad Uzair Ulhaq
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:4685-4694
Machine vision based evaluation systems are receiving increased attention, day by day, for automated quality inspection of roads. Industrial pavement scanners consist of laser scanners and are very expensive, hence inaccessible for everyone. The prop
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. :036119812211272
Distress measurement is essential in pavement management. Image-based distress identification is increasingly becoming an integral part of traffic speed network-level road condition surveys. This allows an aggregated summary of road conditions over t
Publikováno v:
IEEE Sensors Journal. 19:3807-3817
Automated condition monitoring of pavements is seeing a paradigm shift in the twenty-first century, as the focus is increasingly shifting from visual to 3D imaging. The 3D measurement represents the ground truth, within the bounds of discretization o
Publikováno v:
Proceedings of the Institution of Civil Engineers - Transport. 172:12-23
This paper presents an innovative network-level, multi-input deterioration-prediction model for flexible asphalt pavements specific to four climatic conditions (wet freeze, wet non-freeze, dry freeze and dry non-freeze) and for two classes of roads (