Smart house or automation house and security system has been developed in the recent years because its importance to provides the energy saving, comfort for the elderly and security to the house owners. This paper proposed to design a low cost and flexible home prototype system for controlling and monitoring. The proposed design based on two parts; first part, automation system was building by using Arduino UNO microcontroller which responsible on reading and processing the different types of sensor values that's used in the design such as gas leak, flame and temperature as well as the remote control used in automatic garage door. The second part is security system and outdoor lighting the NodeMCU will be used to monitor the state of the house security from anywhere through a special GUI was programming by HTML language that allows the user to monitor the house security as well as extinguishing and operating the outdoor light via specific IP address granted by the NodeMCU.
The Novel Jaya Optimization Algorithm (JOA) was utilized in this research to evaluate the efficiency of a new novel design of Autonomous Underwater Vehicle (AUV). The Three Proportional Integral Derivative (PID) controllers were used to obtain the optimum output for the AUV Trajectory, which can be considered as a main side of the research for solving the AUV Performance. The optimization technique has been developed to solving the motion model of the AUV in order to reduce the rotations of trajectory for the AUV 6-DOF Body in the axis’s in x, y and z for the overall positions, velocity... etc., and to execute the optimum output for the dynamic kinematics model based on the Novel Euler-6 DOF AUV Body Equation implemented on MATLAB R2021a Version.
Heat stabilizer plays a major rule in the manufacturing of plastic products to enhance thermal properties. Carbon nanostructures (include soot) is one of the famous heat stabilizers. In the present study, different ratios of soot were blended to polystyrene (PS) using magnetic-heater stirrer and the ultrasound machine. The casting method was used to prepare the thin films of the pure and blended polystyrene. The techniques such as Fourier Transform Infrared Spectroscopy (FTIR), thermogravimetric analysis (TGA) and UV-Visible spectrophotometer were successfully used to characterize as-prepared composites. TGA results show that the thermal stability of PS is increased significantly after the addition of soot to polystyrene . The initial decomposition temperature (5% weight loss) of PS (229°C) is increased to 395°C when loading 5% (wt/wt) of soot. Differential thermal analysis (DTA) curves of composites represented higher temperature peak 452.23°C, and less degradation rate than virgin polystyrene. In addition, the optical results of polystyrene composite showed decreasing in the energy gap, values of refractive index and the real part of dielectric constant when the soot was added to polystyrene.
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