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The present study aims at investigating and simulating the hydrogen cycle production at low temperatures using thermochemical reactions. The cycle used in this work is based on the dissociation of water molecules depending on a copper chlorine couple. Furthermore, the proposed method uses mainly thermal energy provided by a solar thermal field. This proposed cycle differs from what is found in the...
Different infrastructures have been proposed for the setup of a makerspace. This platform space for learning and innovation has a variety of open access resource to share knowledge, tools, and equipment. One of the common problem in makerspace is the large number of cables, plugs, and sockets being used which not only create safety concerns such as electric shock hazards but also a space management...
This work describes how feed-forward Artificial Neural Networks (ANNs) can perform Analog-to-Digital (A/D) conversion with a linear and non-linear relationship between the analog input and the digital output in order to eliminate the linearization stage without modifying the analog-to-digital converter's elements and architecture. Adding to that, the speed of this A/D converter will not be reduced...
Engineers around the world have been struggling to improve the way we live our lives by improving the technology. Indeed, the greatest improvement of technology in the past era has made our life easier and fast reaching. All these improvements came after many trials of which some have been successful and others not. Two of the greatest progressions in the wearable technology field are the Google glass...
This paper implemented Fractional Order PID (FOPID) controller to study and assess the effectiveness of the Thyristor Controlled Series Compensation (TCSC) on power system transient stability enhancement. The basic operating principle of the device is introduced along with the main circuit configuration and models. A control scheme to increase the system damping and improve the system response is...
In this paper, Artificial Neural Network (ANN) and Simulated Annealing (SA) techniques are combined with H∞-control theory to design two adaptively robust output feedback controllers. The first controller, Robust H∞ Controller (RHC), is based on the optimization of the H∞-norm of disturbance-to-output transfer function using linear matrix inequalities technique. The second one, Robust Lead-Lag (RLL),...
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