Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Bose-condensed optomechanical-like system and a Fabry–Perot cavity with one movable mirror: quantum correlations from the perspectives of quantum optics

Abstract: From the perspective of quantum optics, various lower- and higher-order nonclassical features of correlations have been studied for two physical systems- (i) an optomechanical system composed of a Fabry–Perot cavity with one nonlinearly oscillating mirror and (ii) an optomechanical-like system formed using a Bose–Einstein condensate (BEC) trapped inside an optical cavity. The investigation is performed using a perturbation method that leads to closed form analytic expressions for the time evolution of the relevant bosonic operators. In the first system, it is observed that the radiation pressure coupling leads to the emergence of lower- and higher-order single-mode and two-mode quantum correlations. The effects of the coherent interaction of a nonlinear oscillating mirror with the cavity mode are also studied, and it is observed that the optomechanical system studied here becomes more correlated when the coupling strength is increased. It is also observed that the possibility of observing entanglement depends on the phase of the movable mirror. The Hamiltonian of the trapped BEC system is obtained as a special case of the Hamiltonian of the first system, and the existence of quantum correlations in the trapped BEC system has been established, and variations of those with various physical parameters have been reported with an aim to understand the underlying physical process that leads to and controls the correlations. Finally, the possibility of observing these correlations under the effect of environment has also been performed.

Implementation of Low-Power 6T SRAM Cell Using MTCMOS Technique

Abstract: Electronics industry in present-day scenario is facing the major problem of standby leakage current in most of the electronic devices As the speed of processor is increasing, the demand for high-speed cache memory is ever increasing SRAM being mainly used for cache memory design, several low-power techniques are being used to reduce its leakage current Full CMOS 6T SRAM cell is the most preferred choice for most of the digital circuits This paper implements 6T CMOS SRAM cell using MTCMOS technique and simulation results show significant reduction in leakage during standby mode The simulations are done on Cadence Virtuoso Tool using 45 nm technology

Extended-Sakurai-Newton MOSFET Model for Ultra-Deep-Submicrometer CMOS Digital Design

Abstract: In this paper an extension of the Sakurai and Newton's Nth power law model, namely Extended-Sakurai-Newton Model, is proposed. The proposed model (henceforth referred to as the ESN model) preserves the simplicity and accuracy of the Sakurai Newton model for the estimation of drain current in deep submicron CMOS devices and extends it for varying device widths. Although the Modified Sakurai-Newton Current Model (MSN Model) also provides an estimation of transistor drain current with varying transistor widths, it suffers from the drawback of being more error prone and computation intensive in parameter extraction. The proposed model matches with BSIM3v3 level 49 T-SPICE simulations to within an error of 1.8%(3.67% maximum), in 0.18µm and 0.25µm CMOS processes for a wide range of transistor widths and input rise/fall times. The proposed model is further used to improve the Elmore Delay prediction of CMOS inverter operated at low supply voltages. The centroid-of-current and power based delay metrics [1] are modified based on the proposed model. The new delay metric is able to accurately predict the delay of CMOS inverter operated at low supply voltages. The proposed ESN Model is also applied to predict the delay of two-input CMOS NAND gate. Hence the proposed model can be effectively used in the design of digital CMOS gates involving varying device widths and supply voltages in the deep submicron region.

A new complete color normalization method for H&E stained histopatholgical images

Abstract: The popularity of digital histopathology is growing rapidly in the development of computer aided disease diagnosis systems. However, the color variations due to manual cell sectioning and stain concentration make the process challenging in various digital pathological image analysis such as histopathological image segmentation and classification. Hence, the normalization of these variations are needed to obtain the promising results. The proposed research intends to introduce a reliable and robust new complete color normalization method, addressing the problems of color and stain variability. The new complete color normalization involves three phases, namely enhanced fuzzy illuminant normalization, fuzzy-based stain normalization, and modified spectral normalization. The extensive simulations are performed and validated on histopathological images. The presented algorithm outperforms the existing conventional normalization methods by overcoming the certain limitations and challenges. As per the experimental quality metrics and comparative analysis, the proposed algorithm performs efficiently and provides promising results.

Isolation and characterization of feather degrading enzymes from Bacillus megaterium SN1 isolated from Ghazipur poultry waste site.

Abstract: The SN1 strain of Bacillus megaterium, isolated from soil of Ghazipur poultry waste site (India) produced extracellular caseinolytic and keratinolytic enzymes in basal media at 30°C, 160 rpm in the presence of 10% feather. Feathers were completely degraded after 72 h of incubation. The caesinolytic enzyme was separated from the basal media following ammonium sulphate precipitation and ion exchange chromatography. We report 29.3-fold purification of protease after Q Sepharose chromatography. The molecular weight of this enzyme was estimated to be 30 kDa as shown by SDS-PAGE and zymography studies. Protease activity increased by 2-fold in presence of 10 mM Mn2+ whereas Ba2+ and Hg2+ inhibited it. Ratio of milk clotting activity to caseinolytic activity was found to be 520.8 for the 30–60% ammonium sulphate fraction in presence of Mn2+ ion suggesting potential application in dairy industry. Keratinase was purified to 655.64 fold with specific activity of 544.7 U/mg protein and 12.4% recovery. We adopted the strategy of isolating the keratinolytic and caesinolytic producing microorganism by its selective growing in enriched media and found that feather protein can be metabolized for production of animal feed protein concentrates.