Ahmed Abdelgalil
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ahmed Abdelgalil has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Albert Jose Potams
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
1 shared publication - Ardit Lushi
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
1 shared publication - Bachar Mourched
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
1 shared publication - Halil Ibrahim Turan
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
1 shared publication - Mariam Abdallah
Faculty of Science III, Lebanese University, Tripoli 90656, Lebanon
1 shared publication - Mario Hoxha
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
1 shared publication
Latest Publications
- Open Access
- 29 September 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (19) , 9798
Piezoelectric-Based Sensor Concept and Design with Machine Learning-Enabled Using COMSOL Multiphysics
This paper presents the concept and design of a system that embeds piezoelectric sensors to measure the voltage of a mechanical load applied to it. COMSOL Multiphysics, a finite element simulation tool, was used to design the system and analyze the data to find a possible fingerprint of voltage changes. The sensors’ voltage readings were affected by the load applied to the surface of the structure with different magnitudes and speeds. The analyzed data show the effect of position and mass on the voltage readings and indicates the possibility of speed prediction. The obtained dataset results validated the concept of the proposed system, where the collected data can serve as a digital data pipeline model for future research on different artificial intelligence (AI) or machine learning (ML) modeling applications. From the obtained data, a reasonable view shows that voltage reading matrices can be utilized for the detection of vehicle speed, location, and mass if used as training data for machine learning modeling, which can benefit the Internet of Things (IoT) technology.
- 29 September 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (19) , 9798
Open AccessPiezoelectric-Based Sensor Concept and Design with Machine Learning-Enabled Using COMSOL Multiphysics
This paper presents the concept and design of a system that embeds piezoelectric sensors to measure the voltage of a mechanical load applied to it. COMSOL Multiphysics, a finite element simulation tool, was used to design the system and analyze the data to find a possible fingerprint of voltage changes. The sensors’ voltage readings were affected by the load applied to the surface of the structure with different magnitudes and speeds. The analyzed data show the effect of position and mass on the voltage readings and indicates the possibility of speed prediction. The obtained dataset results validated the concept of the proposed system, where the collected data can serve as a digital data pipeline model for future research on different artificial intelligence (AI) or machine learning (ML) modeling applications. From the obtained data, a reasonable view shows that voltage reading matrices can be utilized for the detection of vehicle speed, location, and mass if used as training data for machine learning modeling, which can benefit the Internet of Things (IoT) technology.