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Ghāziābād, India

Verma S.,Indian Institute of Technology Roorkee | Pal P.K.,National Institute of Technology Srinagar | Mahawar S.,ABES Engineering College | Kaushik B.K.,Indian Institute of Technology Roorkee
IEEE Transactions on Electron Devices | Year: 2016

Conventional spin transfer torque (STT) magneto-resistive random access memory (MRAM) generally includes a bulk n-channel MOS (NMOS) transistor as an access device that provides equal drive current in standalone conditions in both the directions. However, the switching current requirement of magnetic tunnel junctions (MTJs) in STT MRAM is highly asymmetric (2 to 3:1). With conventional access devices, the excess write current in one direction maps to unnecessarily higher power dissipation. Hence, in this paper, a novel STT MRAM cell with an asymmetric-dielectric (asymmetric-k) sidewall-spacer NMOS (ASNMOS) is presented. ASNMOS has different-k sidewall spacers, i.e., one side high-k and other side low-k spacer. As desired, this novel ASNMOS provides asymmetric drive current and reduces the overall power dissipation. The proposed STT MRAM cell is analyzed with HSPICE simulations using calibrated Verilog-A models for access device and perpendicular magnetic anisotropy MTJ. The STT MRAM cell with the proposed ASNMOS exhibits up to 25% reduction in the dynamic power dissipation over the STT MRAM cell with the conventional symmetric NMOS as an access device. Moreover, ASNMOS-based cells shows higher reliability wherein the worst case current density through MTJ is reduced by 25%. © 2016 IEEE.

Khatter H.,ABES Engineering College | Aggarwal V.,Krishna Institute of Engineering and Technology
Proceedings of the 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014 | Year: 2014

In this digital world, more than 90% of desktop and notebook computers have integrated Graphics Processing Units i.e. GPU's, for better graphics processing. Graphics Processing Unit is not only for graphics applications, even for non-graphics applications too. In the past few years, the graphics programmable processor has evolved into an increasingly convincing computational resource. But GPU sits idle if graphics job queue is empty, which decreases the GPU's efficiency. This paper focuses on various tact to overcome this problem and to make the CPU-GPU processing more powerful and efficient. The graphics programmable processor or Graphics processing unit is especially well suited to address problem sets expressed as data parallel computation with the same program executed on many data elements concurrently. The objective of this paper is to increase the capabilities and flexibility of recent GPU hardware combined with high level GPU programming languages: to accelerate the building of images in a frame buffer intended for output to a display, and, to provide tremendous acceleration for numerically intensive scientific applications. This paper also gives some light on major applicative areas where GPU is in use and where GPU can be used in future. © 2014 IEEE.

Tripathi A.K.,Krishna Institute Of Engg And Technology | Radhakrishanan R.,ABES Engineering College | Lather J.S.,National Institute of Technology Kurukshetra
Proceedings of the 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014 | Year: 2014

In the last decade tremendous development in the area of mobile and wireless network. Internet Engineering Task Force (IETF) proposed Mobile IPv6 to provide mobility in wireless IPv6 networks. But still transparent mobility over the Internet is one of the biggest in challenges. Recently Hierarchical Mobile IPv6 (HMIPv6) and Proxy Mobile IPv6 (PMIPv6) are proposed to reduce the handover latency and as a result to reduce packet loss. This paper analyzes impact of handover latency wireless link delay on handover latency and compares the results analytically. © 2014 IEEE.

Kaushik B.,ABES Engineering College
Applied Soft Computing Journal | Year: 2014

Approximated artificial neural network (AANN) is a meta-heuristics optimization algorithm mixing the features of approximating the computed combinatorial spectrum and ability of neural network to approximate the input from problem domain to the desired output. This paper proposes the use of an approximated artificial neural network (AANN) approach for the case of reliability when complex network design is considered. A mesh network of 256 nodes and hyper-tree network of 496 nodes are considered for evaluating the performance of AANN algorithm for improving reliability and minimizing cost for complex network. Since, evaluating reliability for complex network using formal approach requires substantial computational effort and time equivalent to NP-Hard. The work presented in this paper compares the performance of AANN algorithm with that of Monte Carlo simulation (MCS) and particle swarm optimization (PSO) for improving reliability and minimizing cost for complex network problems. The simulation results show that the performance of AANN algorithm is comparable to those of the mentioned algorithms and can be used to improve reliability and reduce the cost for complex network design problems when amount of complexity is relatively higher. © 2014 Elsevier B.V. All rights reserved.

Gautam M.,ABES Engineering College
Research Journal of Pharmaceutical, Biological and Chemical Sciences | Year: 2014

The aldehyde (Benzimidazole-2-Carboxyaldehyde) complex of Nickel (II) and Cobalt(II) were prepared by mixing aqueous solution of metal chloride with ethanolic solution of the aldehydes at 1:2 mol ratio. Then with a solution of polyacrylamide coordination polymers were prepared. IR study indicate that the aldehyde reacts with the polymer. Frequency shifts may be attributed to coordination of the metal ion with the azomethine nitrogen and imine oxygen of the carboxylate group. 1H NMR studies suggests the existence of keto and enol forms even in the solution form. The thermal analysis reports the thermo-oxidative degradation of complexes. From the conductivity measurements it has been shown that the conductivity of the nickel complexes are higher than the cobalt complexes.

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