PROJECT TITLE :

Design of Efficient BCD Adders in Quantum-Dot Cellular Automata - 2017

ABSTRACT:

Among the rising technologies recently proposed as alternatives to the classic CMOS, quantum-dot cellular automata (QCA) is one in every of the foremost promising solutions to style ultralow-power and very high speed digital circuits. Efficient QCA-based mostly implementations are demonstrated for many binary and decimal arithmetic circuits, but important enhancements are still possible if the logic gates inherently available within the QCA technology are smartly exploited. This transient proposes a replacement approach to design QCA-primarily based BCD adders. Exploiting innovative logic formulations and purpose-designed QCA modules, computational speed significantly on top of existing counterparts is achieved while not sacrificing either the occupied area or the cell count.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Joint Transceiver Beamforming Design for Hybrid Full-Duplex and Half-Duplex Ad-Hoc Networks ABSTRACT: In this paper, we propose a joint transceiver beamforming design method for hybrid full-duplex (FD) and half-duplex
PROJECT TITLE : ESVSSE Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption ABSTRACT: It is believed that symmetric searchable encryption, also known as SSE, will solve the problem of privacy in data outsourcing
PROJECT TITLE : From Handcrafted to Deep Features for Pedestrian Detection A Survey ABSTRACT: Detecting pedestrians is an important but difficult problem in the field of computer vision, particularly in activities that are focused
PROJECT TITLE : Design of an agile training system based on Wireless Mesh Network ABSTRACT: Because of the difficulties associated with using traditional training methods and the lack of funding for agility training in college
PROJECT TITLE : An Empirical Review of Deep Learning Frameworks for Change Detection Model Design, Experimental Frameworks, Challenges and Research Needs ABSTRACT: One of the fundamental objectives of computer vision and video