Resource Efficient Single Precision Floating Point Multiplier Using Karatsuba Algorithm

In floating point arithmetic operations, multiplication is the most required operation for many signal processing and scientific applications. 24-bit length mantissa multiplication is involved to obtain the floating point multiplication final result for two given single precision floating point numbers. This mantissa multiplication plays the major role in the performance evaluation in respect of occupied area and propagation delay. This paper presents the design and analysis of single precision floating point multiplication using karatsuba algorithm with vedic multiplier with the considering of modified 2x1 multiplexers and modified 4:2 compressors in order to overcome the drawbacks in the existing techniques. Further, the performance analysis of single precision floating point multiplier is analyzed in terms of area and delay using Karatsuba Algorithm with different existing techniques such as 4x1 multiplexers and 3:2 compressors and modified techniques such as 2x1 multiplexers, 4:2 compressors. From the simulation results, it is observed that single precision floating point multiplication with karatsuba algorithm using modified 4:2 compressor with XOR-MUX logic provides better performance with efficient usage of resources such as area and delay than that of existing techniques. All the blocks involved for floating point multiplication are coded with Verilog and synthesized using Xilinx ISE Simulator

Controlling Traffic System Based On the Count of Vehicles and Pedestrian Density

Traffic congestions and overcrowding of our streets with vehicles is a common scene in most of the major Indian towns. The inefficient traffic signals have aided to this traffic congestions. Both pedestrians and vehicle are held up in the traffic crossings for a long time due to the poor implementation of traffic signals. In this paper, a method is demonstrated to control the traffic signals based on the count of automobiles and pedestrians. Infrared sensors are used to sense the count of automobile and the pedestrian count is calculated using MATLAB. The data from both these systems are given to an Arduino board. Based on the information obtained, the traffic signal is controlled by the Arduino