ITM University, Gurgaon, Haryana

About: ITM University, Gurgaon, Haryana is a education organization based out in Gurgaon, India. It is known for research contribution in the topics: Encryption & Cryptosystem. The organization has 749 authors who have published 1159 publications receiving 12997 citations.

A cryptosystem based on deterministic phase masks and fractional Fourier transform deploying singular value decomposition

Abstract: In this paper, an asymmetric cryptosystem has been proposed to enhance the security of DRPE. The traditional DRPE scheme is thus tweaked by using fractional Fourier transform (FrFT), a class of structured phase masks called as deterministic phase masks (DMKs) and deploying singular value decomposition (SVD). In specific, we propose to organise the encryption procedure by using two DMKs and FrFT, additionally deploying SVD. On the decryption front, the input image is recovered by utilising the inverse singular value decomposition (ISVD) and an angular portion of the deterministic phase masks. The use of FrFT for encryption and decryption would enhance the robustness of DRPE scheme. Deployment of SVD on our asymmetric cryptosystem provides three components for cipher image is yet another added feature that hardens the security of DRPE scheme. DMKs are formed by the deviation from conventional rectangular function and limited range values which delivers key components with reduced size, better performance and lower complexity. The capability study of defined method, includes analysis on SVD, histogram and correlation coefficient. Our system is subject to an occlusion attack and noise attack to evaluate its performance and reliability. Computational analysis outputs and security investigation are offered in aspect to determine the security potential of proposed system. Comparative results are shown for values of mean-square-error and peak-signal-to-noise ratio of DRPE schemes.

Bionanocomposites: Green materials for a sustainable future

Abstract: The word “green” refers to those materials that are “renewable” as well as “biodegradable” and thus can be exploited for issues related to the environment and sustainability. Bionanocomposites are an important class of hybrid materials, comprised of biopolymers and inorganic solids. They exhibit at least one dimension on the nanometer scale. Such biodegradable materials prove to be invaluable gifts to present and future generations thanks to modern science and technology. Natural polymers, which are preferred from an environmental standpoint, including starch, poly-lactic acid (PLA), cellulose acetate, etc. have been widely used in the past few years. Optically transparent plasticized PLA-based bionanocomposite films have been utilized for packaging in the food industry. Artificial bone tissue scaffolds based on natural hybrids of cellulose acetate (CA) and nano-hydroxyapatite (n-HA) have been used to study in vitro bone regeneration. However, the search for and development of new and economical materials for greener requirements has been a dynamic process.

Experimental investigations and CFD modeling for flow of highly concentrated iron ore slurry through horizontal pipeline

Abstract: Considering a large number of higher solids concentration iron ore slurry pipelines operating across the world and their associated problems, the present study aims to generate an extensive experim...

A combined method to estimate wind speed distribution based on integrating the support vector machine with firefly algorithm

Abstract: A new hybrid approach by integrating the support vector machine (SVM) with firefly algorithm (FFA) is proposed to estimate shape (k) and scale (c) parameters of the Weibull distribution function according to previously established analytical methods. The extracted data of two widely successful methods utilized to compute parameters k and c were used as learning and testing information for the SVM-FFA method. The simulations were performed on both daily and monthly scales to draw further conclusions. The performance of SVM-FFA method was compared against other existing techniques to demonstrate its efficiency and viability. The results conclusively indicate that SVM-FFA method provides further precision in the predictions. Nevertheless, for daily estimations, the applicability of proposed method could not be feasible owing to high day-by-day fluctuations of parameters k, whereas the results of monthly estimation are completely appealing and precise. In summary, the SVM-FFA is a highly viable and efficient technique to estimate wind speed distribution on monthly scale. It is expected that the proposed method would be profitable for wind researchers and experts to be used in many practical applications, such as evaluating the wind energy potential and making a proper decision to nominate the optimal wind turbines. © 2015 American Institute of Chemical Engineers Environ Prog, 2015