Trident Academy of Technology

Bhubaneshwar, India

Trident Academy of Technology

Bhubaneshwar, India
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Nanda S.,Pune Institute of Aviation Technology | Panda A.S.,Trident Academy of Technology
2015 International Conference on Smart Sensors and Systems, IC-SSS 2015 | Year: 2017

Comparators, as the name suggests, compare an analog signal with a reference signal, and outputs the signal in form of a binary signal. Dynamic comparators are widely employed, for their high speed. A comparator plays crucial role in the conversion of the analog signals to digital. This paper puts forth the design of the conventional three-stage comparator in 90-nm CMOS technology. The paper also provides a comparative analysis of the conventional comparator with the latch-based and hysteresis-based comparators. The circuit design and analysis has been done using Cadence. © 2015 IEEE.


Panda S.,Trident Academy of Technology | Kar J.K.,Orissa Engineering College, Bhubaneswar | Rout G.C.,Condensed Matter Physics Group
Journal of Magnetism and Magnetic Materials | Year: 2017

We report here the interplay of ferromagnetism (FM) and charge density wave (CDW) in manganese oxide systems through the study of tunneling conductance spectra. The model Hamiltonian consists of strong Heisenberg coupling in core t2g band electrons within mean-field approximation giving rise to ferromagnetism. Ferromagnetism is induced in the itinerant eg electrons due to Kubo-Ohata type double exchange (DE) interaction among the t2g and eg electrons. The charge ordering (CO) present in the eg band giving rise to CDW interaction is considered as the extra-mechanism to explain the colossal magnetoresistance (CMR) property of manganites. The magnetic and CDW order parameters are calculated using Zubarev's Green's function technique and solved self-consistently and numerically. The eg electron density of states (DOS) calculated from the imaginary part of the Green's function explains the experimentally observed tunneling conductance spectra. The DOS graph exhibits a parabolic gap near the Fermi energy as observed in tunneling conductance spectra experiments. © 2017 Elsevier B.V.


Rout G.C.,F M University | Panda S.,Trident Academy of Technology
Solid State Communications | Year: 2010

The spectral density function of neutron scattering is directly proportional to the imaginary part of the dynamic magnetic spin susceptibility. An attempt is made in the present communication to calculate the longitudinal spin susceptibility for the colossal magneto-resistive manganites to observe the resonance peaks at the magnetic and CDW interaction energies. The model Hamiltonian consists of s-d type exchange interaction between the spins of itinerant eg and core t2 g electrons and Heisenberg type t2 g core electron spin interactions. In addition, there exists a CDW interaction in the eg band due to charge disproportion in Mn3 + and Mn4 + ions. The magnetic susceptibility is evaluated by using equations of motion of Zubarev's technique for a two particle Green's function. The effect of CDW interaction on dynamic spin susceptibility is investigated. © 2009 Elsevier Ltd. All rights reserved.


Tripathy A.K.,Trident Academy of Technology
International Journal of Computing Science and Mathematics | Year: 2014

In this paper, a new class of generalised (Φ, ρ)-univex function is introduced. Three approaches for both primal and mixed type dual of a non-differentiable multi-objective fractional programming problems are presented. Also, the necessary and sufficient conditions of efficient solution for fractional programming are established. Weak and strong duality theorems are established under generalised (Φ, ρ)-univexity assumption. Copyright © 2014 Inderscience Enterprises Ltd.


Sahu B.,Trident Academy of Technology | Mishra D.,Siksha ‘O’ Anusandhan University
Procedia Engineering | Year: 2012

Microarray data are often extremely asymmetric in dimensionality, highly redundant and noisy. Most genes are believed to be uninformative with respect to studied classes. This paper proposed a novel feature selection approach for the classification of high dimensional cancer microarray data, which used filtering technique such as signal-tonoise ratio (SNR) score and optimization technique as Particle swarm Optimization (PSO). The proposed method is divided in to two stages. In the first stage the data set is clustered using k-means clustering, SNR score is used to rank each gene in every cluster. The top scored genes from each cluster is gathered and a new feature subset is generated. In the second stage the new feature subset is used as input to the PSO and optimized feature subset is being produced. Support vector machine (SVM), k-nearest neighbor (k-NN) and Probabilistic Neural Network (PNN) are used as evaluators and leave one out cross validation approach is used for validation. We have compared both of our approach and approaches using PSO in the literature. It has been demonstrated that our approach using PSO gives better result than others. © 2012 Published by Elsevier Ltd.


Sahoo S.,National Institute of Technology Durgapur | Das C.K.,Trident Academy of Technology | Maharana L.,Orissa Engineering College, Bhubaneswar
International Journal of Modern Physics A | Year: 2011

B0 qmixing offers a profound probe into the effects of new physics beyond the Standard Model. In this paper, Bs ooverlineBs 0}and Bd 0overlineBd 0}mass differences are considered taking the effect of both Z-and Z′-mediated flavor-changing neutral currents in the B0 qB0 qmixing (q = d, s). Our estimated mass of Z′ boson is accessible at the experiments LHC and B-factories in near future. © 2011 World Scientific Publishing Company.


Pal P.R.,National Institute of Technology Raipur | Panda R.,Trident Academy of Technology
TechSym 2010 - Proceedings of the 2010 IEEE Students' Technology Symposium | Year: 2010

Feature extraction and classification of biosignals is an important issue in development of disease diagnostic expert system (DDES). In this paper we propose a simple method for EEG classification based on Fourier features. Parameters like energy, entropy, power, and kurtosis were considered for discrimination of various categories of EEG signals. After calculating the above mentioned parameters of the discussed signals, we found that without going for rigorous time-frequency domain analysis, only frequency based analysis is well suitable to classify various EEG signals. © 2010 IEEE.


Rout G.C.,F M University | Panda S.,Trident Academy of Technology | Behera S.N.,National Institute of Science and Technology
Journal of Physics Condensed Matter | Year: 2011

We present a model study of magnetoresistance through the interplay of magnetisation, structural distortion and external magnetic field for the manganite systems. The manganite system is described by the Hamiltonian which consists of the sd type double exchange interaction, Heisenberg spinspin interaction among the core electrons, and the static and dynamic band JahnTeller (JT) interaction in the e g band. The relaxation time of the e g electron is found from the imaginary part of the Greens function using the total Hamiltonian consisting of the interactions due to the electron and phonon. The calculated resistivity exhibits a peak in the pure JT distorted insulating phase separating the low temperature metallic ferromagnetic phase and the high temperature paramagnetic phase. The resistivity is suppressed with the increase of the external magnetic field. The e g electron band splitting and its effect on magnetoresistivity is reported here. © 2011 IOP Publishing Ltd.


In this chapter, a new generalized class of higher order (F, ρ, d)-type 1 univex function is introduced with examples. KKT necessary and sufficient conditions for efficient solution for fractional programming with higher order (F, ρ, d)-type 1 univex function are established. Higher order mixed type duality for nonsmooth multiobjective fractional programming (MFP) is formulated and using the generalized higher order (F, ρ, d)-type 1 univexity assumption in the functions involved, the duality results are established. At the end, some special cases are discussed. © 2014, Operational Research Society of India.


Barik R.N.,Trident Academy of Technology
Journal of Engineering Thermophysics | Year: 2016

The effects of a steady two-dimensional laminar MHD mixed convection flow and heat transfer against a heated vertical semi-infinite permeable surface in a porous medium are discussed. The coupled nonlinear partial differential equations describing the conservation of mass, momentum, and energy are solved by a perturbation technique. The results are presented to illustrate the influence of Hartmann number (M), Prandtl number (Pr), permeability parameter (Kp), suction/blowing parameter (fw), heat generation/absorption coefficient (ϕ), and mixed convection or buoyancy parameter (γ). The effects of different parameters on the velocity and temperature as well as the skin friction and wall heat transfer are discussed with the help of figures. © 2016, Pleiades Publishing, Ltd.

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