Glocal University

Sahāranpur, India

Glocal University

Sahāranpur, India

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Bansod G.,Pune Institute of Computer Technology | Pisharoty N.,Glocal University | Patil A.,Symbiosis Institute of Technology
Frontiers of Information Technology and Electronic Engineering | Year: 2017

We propose an ultra-lightweight, compact, and low power block cipher BORON. BORON is a substitution and permutation based network, which operates on a 64-bit plain text and supports a key length of 128/80 bits. BORON has a compact structure which requires 1939 gate equivalents (GEs) for a 128-bit key and 1626 GEs for an 80-bit key. The BORON cipher includes shift operators, round permutation layers, and XOR operations. Its unique design helps generate a large number of active S-boxes in fewer rounds, which thwarts the linear and differential attacks on the cipher. BORON shows good performance on both hardware and software platforms. BORON consumes less power as compared to the lightweight cipher LED and it has a higher throughput as compared to other existing SP network ciphers. We also present the security analysis of BORON and its performance as an ultra-lightweight compact cipher. BORON is a well-suited cipher design for applications where both a small footprint area and low power dissipation play a crucial role. © 2017, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.

Kumar P.,Amity University | Astya R.,IILM | Pant M.,Indian Institute of Technology Roorkee | Ali M.,Glocal University
Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 | Year: 2016

In this paper a new variant named IUDE of Differential Evolution (DE) algorithm is presented. IUDE proposed an information utilization selection operation for DE algorithm. In order to check the performance, IUDE is implemented on 3 real life optimization applications, taken from literature. These problems are large scale in nature. The results show that the IUDE algorithm can deal effectively with these large-scale continuous optimization problems and also acts significantly better than other algorithms used in the comparison. © 2016 IEEE.

Singh Rathore A.K.,Glocal University | Harish A.R.,Indian Institute of Technology Kanpur
2013 IEEE MTT-S International Microwave and RF Conference, IMaRC 2013 | Year: 2013

A microstrip transmission line of half wavelength loaded with a radial stub operates as a dual mode resonator. By controlling the dimensions of the radial stub it is possible to control the nature of coupling between two modes. By controlling the coupling between the resonator and source/load, it is possible to realize transmission zero with a single dual mode resonator. It is also possible to locate the transmission zero either above or below the pass band region by appropriately changing the nature of different couplings. A dual mode resonator filter with controllable transmission zero is proposed which demonstrates asymmetric filter characteristics. © 2013 IEEE.

Michu S.,Glocal University | Kaushik V.,ITM University
AIP Conference Proceedings | Year: 2014

Multivariate analysis is a type of multivariate statistical approach commonly used in, automotive diagnosis, education evaluating clusters in finance etc and more recently in the health-related professions. The objective of the paper is to provide a detailed exploratory discussion about factor analysis (FA) in image retrieval method and correlation analysis (CA) of network traffic. Image retrieval methods aim to retrieve relevant images from a collected database, based on their content. The problem is made more difficult due to the high dimension of the variable space in which the images are represented. Multivariate correlation analysis proposes an anomaly detection and analysis method based on the correlation coefficient matrix. Anomaly behaviors in the network include the various attacks on the network like DDOs attacks and network scanning. © 2014 AIP Publishing LLC.

Ahmad S.,Integral University | Khan M.S.,Integral University | Akhter F.,Integral University | Khan A.,Glocal University | And 3 more authors.
Glycobiology | Year: 2014

Glycation is the result of covalent bonding of a free amino group of biological macromolecules with a reducing sugar, which results in the formation of a Schiff base that undergoes rearrangement, dehydration and cyclization to form a more stable Amadori product. The final products of nonenzymatic glycation of biomacromolecules like DNA, proteins and lipids are known as advanced glycation end products (AGEs). AGEs may be generated rapidly or over long times stimulated by distinct triggering mechanisms, thereby accounting for their roles in multiple settings and disease states. Both Schiff base and Amadori glycation products generate free radicals resulting in decline of antioxidant defense mechanisms and can damage cellular organelles and enzymes. This critical review primarily focuses on the mechanistic insight of glycation and the most probable route for the formation of glycation products and their therapeutic interventions. Furthermore, the prevention of glycation reaction using therapeutic drugs such as metformin, pyridoxamine and aminoguanidine (AG) are discussed with special emphasis on the novel concept of the bioconjugation of these drugs like, AG with gold nanoparticles (GNPs). At or above 10 mM concentration, AG is found to be toxic and therefore has serious health concerns, and the study warrants doing this novel bioconjugation of AG with GNPs. This approach might increase the efficacy of the AG at a reduced concentration with low or no toxicity. Using the concept of synthesis of GNPs with abovementioned drugs, it is assumed that toxicity of various drugs which are used at high doses can be minimized more effectively. © The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail:

Shahane P.M.,Symbiosis International University | Pisharoty N.,Glocal University
International Journal of Engineering and Technology | Year: 2016

The traditional system on chip designs employ the shared bus architecture for data transfer in highly integrated Multiprocessor system on chips(MPSoC).Network on chip (NoC)is a new paradigm for on chip communication for Multiprocessor systems on chips(MPSoCs). NoCs replace the traditional shared buses system with routing switches. Heart of the NoC is the router and it consists of an input buffer, arbiter, crossbar and an output port. The NoC router uses a buffer to store the incoming packets. These buffers improve the performance but they consume more power and area. Bufferless deflection routing is the solution for improvement in energy efficiency. In this method deflections of the packets take place to overcome the contention problem. But at high network load, deflection routing degrades the performance because of unnecessary hopping of data packets. The MinBD (minimally buffered deflection) router is a new router design that uses a small buffer for bufferless deflection routing. In this paper the input block of MinBD router is implemented on FPGA which shows that a small buffer will help to reduce the network deflection rate. It also improves the performance and energy efficiency while buffering only deflected data packets.

Ganti R.,Glocal University
AIP Conference Proceedings | Year: 2014

Indian agriculture sector heavily depends on monsoon rainfall for successful harvesting. In the past, prediction of rainfall was mainly performed using regression models, which provide reasonable accuracy in the modelling and forecasting of complex physical systems. Recently, Artificial Neural Networks (ANNs) have been proposed as efficient tools for modelling and forecasting. A feed-forward multi-layer perceptron type of ANN architecture trained using the popular back-propagation algorithm was employed in this study. Other techniques investigated for modeling monthly monsoon rainfall include linear and non-linear regression models for comparison purposes. The data employed in this study include monthly rainfall and monthly average of the daily maximum temperature in the North Central region in India. Specifically, four regression models and two ANN model's were developed. The performance of various models was evaluated using a wide variety of standard statistical parameters and scatter plots. The results obtained in this study for forecasting monsoon rainfalls using ANNs have been encouraging. India's economy and agricultural activities can be effectively managed with the help of the availability of the accurate monsoon rainfall forecasts. © 2014 AIP Publishing LLC.

Ranakoti G.,Glocal University | Marathe P.,Glocal University
AIP Conference Proceedings | Year: 2014

Flow field analysis is carried out computationally on a flat plate with 35° stream-wise coolant injection through a cylindrical film cooling hole. ANSYS Fluent 13.0 is used to perform computations using k-εrealizable turbulence model with enhanced wall functions. The Reynolds number ReD based on free stream velocity and diameter of hole is 15885 with blowing ratio M=0.5 and density ratio D.R=1.2. Streamlines are studied downstream of the film cooling hole in the present study. © 2014 AIP Publishing LLC.

Samaiya D.,Glocal University
AIP Conference Proceedings | Year: 2014

Due to advancement in low cost, easily available, yet powerful hardware and revolution in open source software, urge to make newer, more interactive machines and electronic systems have increased manifold among engineers. To make system more interactive, designers need easy to use sensor systems. Giving the boon of vision to machines was never easy, though it is not impossible these days; it is still not easy and expensive. This work presents a low cost, moderate performance & programmable Image processing engine. This Image processing engine is able to capture real time images, can store the images in the permanent storage and can perform preprogrammed image processing operations on the captured images. © 2014 AIP Publishing LLC.

Khan M.S.,Glocal University | Abbas H.,King Saud University
European Journal of Environmental and Civil Engineering | Year: 2015

This article shows experimental investigation carried out to study the effect of exposure to elevated temperature on concrete. Four concrete mixes obtained using different proportions of ground granulated blast furnace slag (GGBFS) and silica fume (SF) with 43 grade ordinary Portland cement were considered. Concrete cubes of 100 mm size were cast, cured and exposed to different peak temperatures (up to 700 °C) for different heating periods (1, 2, 3 and 7 h) and tested to failure under compression. Before subjecting the heated specimens to compression test, the heated cubes were closely examined for any signs of cracking, disintegration and loss of mass. The concrete specimens with 5% SF do not show any sign of cracks at different peak temperatures, whereas 10% SF cubes split from corners at 425 °C. However, the concrete cubes with 10% GGBFS did not show any sign of cracking even for 7-h exposure to a temperature of up to 500 °C. The mass loss of all concrete specimens increased sharply up to 200 °C, and after that, it increased marginally. The compressive strength of all concrete mixes increased up to 200 °C and decreased with further increase in temperature, with the exception of concrete containing 5% SF which increased even at higher temperatures but at a slower rate. © 2015 Taylor & Francis

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