Bøger af Khaaza M Unnisha Begum

This book summarizes the XOR, XNOR, and C signals are only used so no additional NOT gates need to generate the C signal, whereas if the C signal is also used to produce the Sum output, then XOR and XNOR signals will not drive the Sum output through the TG multiplexer, but only they will be connected to the data select lines of 2-1-MUX. So the capacitance of XOR and XNOR nodes becomes smaller, and the delay of the circuit will be improved. In the future D¿flip flop based on XOR/XNOR circuits can be designed more efficiently. As technology is getting advanced, power consumption, delay time, and chip area are the main concern issues that we have to improve, therefore these circuits can be designed to solve these issues more efficiently to reduce the total cost of the system by optimizing transistors¿ sizes.

This Book summarizes the experimental prototype of the embedded image-capturing system with Raspberry Pi system. The graphics capabilities of the Raspberry Pi are roughly equivalent to the level of performance of the Xbox of 2001. The Raspberry Pi chip, operating at 700 MHz by default, will not become hot enough to need a heat sink or special cooling. The SoC is stacked underneath the RAM chip, so only its edge is visible. Level 2 cache is 128 KB, used primarily by the GPU, not the CPU. This system is smaller, lighter and with lower power consumption, so it is more convenient than the PC-based face recognition system. Because of the open-source code, it is freer to do software development on Linux. Experimental results show that it¿s an effective method of using a Raspberry Pi board to actualize an embedded image-capturing system.