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Nowadays everybody can recognize the huge increasing of car numbers on roads. Day after day, this increasing may be an indicator for changing and development. This put a lot of challenges on people and governments. One of these challenges is car accidents and there bad effects. The main aim of our proposal is to help our society to decrease car accidents by designing a system which makes the drivers pay more attention and worn them before an accident takes place. The designed system consists basically of three general circuits, which complete each others. The first circuit consists of microcontroller, power source, speaker and switches needed. The second circuit, the ultrasonic transmitter and receiver circuit which measures the distance between the car and any thing in front of it. Finally, the third circuit, the opto-coupler circuit, its function to determine the current speed of the car. The characteristics of this system include flexibility and effectiveness of implementation. It’s cheap and it has low power consumption with a small size. The system records all the changes surrounded the driver environment, then process them using a fuzzy microcontroller which worn the driver of expected dangers through an output devices which lead the driver to take all necessary measures to avoid the accident

Different heat treatments such as (Annealing, Normalizing, Hardening in oil, and Hardening in water) of low carbon steel (LCS) specimens were performed in electrical furnace at constant temperature of (850ºC). The aim of this work was to estimate the effect of each heat treatment of LCS specimens on their corrosion rate (CR) in sulfuric acid solutions at constant room temperature of (25±5ºC). The CR was measured, while the acid concentration (Cacid) and immersion time (T) were changed according to experimental plan. Computer program (Statgraphics/Experimental Design) was used to calculate the fitted linear model of corrosion rate of low carbon steel in terms of (Cacid, and T) for each heat treatment separately. The fitted linear models of CR were adequate, while the interactions of the operating parameters were negligible. The R- square statistic indicates that the models as fitted explain 81-93% of the variability in corrosion rate.

The presented study examines the effect of SBR polymer latex on the performance of concrete composite containing (1%MgO powder + 0.75%polyolefin fibers). In this study, the amount of added latex to concrete composite was varied. Density, compressive strength, and flexural strength were measured. The results showed that SBR addition caused a reduction in compressive strength with increase the dosage of adding. Flexural strength at 28 days improved with increase of SBR dosage (2%, 4% and 6%) and the results recorded.