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Abstract: Quantum dot Cellular Automata (QCA) offers a new transistorless computing paradigm in nanotechnology. It has the potential for attractive features such as faster speed , smaller size and low power consumption than transistor based technology .By taking the advantages of QCA we are able to design interesting computational architecture. The basic logic elements used in this technology are the inverter and the majority gate (MG). The majority gate is not a universal gate .Hence another important logic gate introduced in this technology is And-Or-Inverter (AOI).In this paper, we propose design of different logical structures using AOI. The rules are introduced in this paper for easy implementation of AOI circuits for different functions and characteristics of AOI is also defined and analyzed. Design implementations using the AOI gate are compared with the conventional CMOS and majority gate based QCA methodology

Hardware Implementation of Road Network Extraction Using Simplified Gabor Wavelet in Field Programmable Gate Array

Automatic detection of road networks from the satellite and aerial images is the most demanded research area, and it is used for various remote sensing applications. The Simplified Gabor Wavelet based approaches are used to extract the road network automatically. In this paper, a field programmable gate array architecture designed for automatic extraction of road network using Simplified Gabor Wavelet is proposed. The hardware implementation results are compared with software implementation results. The performance measures such as completeness, correctness and quality are calculated. In the software implementation, the average value of completeness, correctness, and quality of various images are 91%, 98%, and 89% respectively. In the hardware implementation, the average value of completeness, correctness, and quality are 89%, 97%, and 87% respectively. The performance of the proposed algorithm is also proved in noisy images. These measures prove that the proposed work yields road network very resembling to reference road map.

Hardware Implementation of Road Network Extraction Using Simplified Gabor Wavelet in Field Programmable Gate Array

Automatic detection of road networks from the satellite and aerial images is the most demanded research area, and it is used for various remote sensing applications. The Simplified Gabor Wavelet based approaches are used to extract the road network automatically. In this paper, a field programmable gate array architecture designed for automatic extraction of road network using Simplified Gabor Wavelet is proposed. The hardware implementation results are compared with software implementation results. The performance measures such as completeness, correctness and quality are calculated. In the software implementation, the average value of completeness, correctness, and quality of various images are 91%, 98%, and 89% respectively. In the hardware implementation, the average value of completeness, correctness, and quality are 89%, 97%, and 87% respectively. The performance of the proposed algorithm is also proved in noisy images. These measures prove that the proposed work yields road network very resembling to reference road map.