Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.

New modified-majority voter-based efficient QCA digital logic design

Abstract: Quantum-dot cellular automata (QCA) is an emerging nanotechnology and a possible alternative solution to the limitation of complementary metal oxide semiconductor (CMOS) technology. One of the most attractive fields in QCA is the implementation of configurable digital systems. This article presents a novel multifunctional gate called the modified-majority voter (MMV). The proposed gate works on the explicit interaction of the cell characteristic property for the implementation of digital circuits. This prominent feature of the proposed gate reduces the maximum hardware cost and implements highly efficient QCA structures. To verify the functionality of the proposed gate, some physical proofs, truth table and computational simulation results are performed. These results assured the validity of the existence of the proposed gate. It also dissipates less energy which has been calculated under three separate tunnelling energy levels using the QCAPro tool. To prove the effectiveness of the proposed MMV ...

Big data predictive analysis: Using R analytical tool

Abstract: Data available in large volume, variety is generally termed as Big Data. Since Big data is difficult to analyze using traditional data processing techniques, many new data processing tools and techniques have evolved over the need to practice result-oriented big data analysis. In this paper, big data has been analyzed using one of the advance and effective data processing tool known as R Studio to depict predictive model based on results of big data analysis. Couples of algorithms — Random Forest (RF) and Latent Dirichlet Allocation (LDA) are applied over R package in order to find out more concrete results. To portray operational demonstration of this model, author has performed case study by analyzing fertility associated big data and come up with predictive model which will help to foretell certain possibilities well in advance.