Shiv Nadar University

About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.

Data compression using Shannon-fano algorithm implemented by VHDL

Abstract: In digital communication while transmit the data it is well desire that the transmitting data bits should be as minimum as possible, so to compress the data there are several technique used In this paper we have implemented a Shannon-fano algorithm for data compression through VHDL coding Using VHDL implementation we can easily observe that how many bits we can save or how much data gets compressed during transmission, and we can also see the encoding of the respective symbol of transmit data In the field of data compression the Shannon-fano algorithm is used, this algorithm is also used in an implode compression method which are used in zip file or rar format To implement this algorithm in VHDL we use ModelSim SE 64 simulators and to synthesize these code Quartus-II tool has been used

Re-entrant direct hexagonal phases in a lyotropic system of surfactant induced by an ionic liquid

Abstract: In the present study, an ionic liquid (IL), known as green solvent, 1-butyl-3-methylimidazolium tetrafluoroborate (BMIM-BF4) with four carbons in the hydrophobic chain (C-4) has been used a...

Random matrix ensembles: Wang-Landau algorithm for spectral densities

Abstract: We propose a method based on the Wang-Landau algorithm to numerically generate the spectral densities of random matrix ensembles. The method employs Dyson's log-gas formalism for random matrix eigenvalues and also enables one to simultaneously investigate the thermodynamic properties. This approach is a powerful alternative to the conventionally used Monte Carlo simulations based on the Boltzmann sampling, and is ideally suited for investigating β-ensembles.