Abdulmajid Murad | Qassim University (original) (raw)

Abdulmajid Murad

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Papers by Abdulmajid Murad

Research paper thumbnail of Information-driven adaptive sensing based on deep reinforcement learning

Proceedings of the 10th International Conference on the Internet of Things

Research paper thumbnail of Deep Recurrent Neural Networks for Human Activity Recognition

Research paper thumbnail of DESIGN ND IMPLEMENTATION OF SOLAR TRACKING SYSTEM FOR PHOTOVOLTAIC CELLS

Currently, generating electricity by solar energy is inefficient and costly. The energy extracted... more Currently, generating electricity by solar energy is inefficient and costly. The energy extracted from a solar photovoltaic depends on solar insolation. For the extraction of maximum energy from the sun, the plane of a solar collector should always be normal to the incident radiation. In this graduation project, we seek to improve the solar system efficiency by designing and implementing an automatic solar tracking systems which will keep the solar panel aligned with the sun in order to maximize solar power extraction. This system tracks the maximum intensity of light by adjusting the solar panel to be normal to the incident light. This sun tracker system uses two light dependent resistors as sensors element to find the brightest point in the sky. The data and signal processing of light sensors are performed by a microcontroller based system which controls a rotating DC Motor. Performance of this system over the important parameters like solar radiation received on the collector, maximum hourly electrical power, efficiency gain, short circuit current, and open circuit voltage has been evaluated and compared with those for fixed tilt angle solar collector.

Research paper thumbnail of Information-driven adaptive sensing based on deep reinforcement learning

Proceedings of the 10th International Conference on the Internet of Things

Research paper thumbnail of Deep Recurrent Neural Networks for Human Activity Recognition

Research paper thumbnail of DESIGN ND IMPLEMENTATION OF SOLAR TRACKING SYSTEM FOR PHOTOVOLTAIC CELLS

Currently, generating electricity by solar energy is inefficient and costly. The energy extracted... more Currently, generating electricity by solar energy is inefficient and costly. The energy extracted from a solar photovoltaic depends on solar insolation. For the extraction of maximum energy from the sun, the plane of a solar collector should always be normal to the incident radiation. In this graduation project, we seek to improve the solar system efficiency by designing and implementing an automatic solar tracking systems which will keep the solar panel aligned with the sun in order to maximize solar power extraction. This system tracks the maximum intensity of light by adjusting the solar panel to be normal to the incident light. This sun tracker system uses two light dependent resistors as sensors element to find the brightest point in the sky. The data and signal processing of light sensors are performed by a microcontroller based system which controls a rotating DC Motor. Performance of this system over the important parameters like solar radiation received on the collector, maximum hourly electrical power, efficiency gain, short circuit current, and open circuit voltage has been evaluated and compared with those for fixed tilt angle solar collector.

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