Bhubaneshwar, India
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Barik R.N.,Trident Academy of Technology | Dash G.C.,Soa University | Rath P.K.,Brm International Institute Of Technology
Proceedings of the National Academy of Sciences India Section A - Physical Sciences | Year: 2014

An attempt has been made to study the flow of an incompressible conducting elastico-viscous (Maxwell model) fluid in a parallel flat channel packed with a porous material having uniform porosity in the presence of a transverse magnetic field. Both the channel walls are permeable allowing a cross flow. The novelty of the present study is to apply Homotopy perturbation method to solve the governing equation of the flow field. The solution of the present method is compared with that of analytical method in the absence of magnetic field, porous medium and form drag coefficient (S = F = Q = 0). The compatibility of the solutions are established. In the result it is shown that presence of elastic elements is counterproductive to enhance the velocity and presence of suction is to prevent the back flow. © The National Academy of Sciences, India 2014.


Ranjan R.,Kolhan University | Kumar R.,Kolhan University | Kumar N.,Indian Institute of Technology Kharagpur | Behera B.,Sambalpur University | Choudhary R.N.P.,Soa University
Journal of Alloys and Compounds | Year: 2011

The polycrystalline ceramic samples of Pb1-xSm x(Zr0.55Ti0.45)1-x/4O3 (x = 0.00, 0.03, 0.06 and 0.09) were prepared by solid-state reaction technique at high temperature. Electric impedance (Z) and modulus (M) properties of the materials have been investigated within a wide range of temperature and frequency using complex impedance spectroscopy (CIS) technique. The complex impedance analysis has suggested the presence of mostly bulk resistive (grain) contributions in the materials. This bulk resistance is found to decrease with the increase in temperature. It indicates that the PSZT compounds exhibit a typical negative temperature coefficient of resistance (NTCR) behavior. The bulk contribution also exhibits an increasing trend with the increase in Sm 3+ substitution to PZT. The complex modulus plots have confirmed the presence of grain (bulk) as well as grain boundary contributions in the materials. Both the complex impedance and modulus studies have suggested the presence of non-Debye type of relaxation in the materials. © 2011 Elsevier B.V. All rights reserved.


Nayak A.,Silicon Institute of Technology | Dash G.C.,Soa University
Journal of Engineering Thermophysics | Year: 2015

In this paper, the problem of transient hydromagnetic flow of an electrically conducting couple stress fluid in a rotating frame of reference through a saturated porous channel under the influence of pulsatile pressure gradient is presented. The novelty of the proposed work is to analyze the effect of couple stress as well as the case of steady and pulsatile pressure gradient on a flow through a porous saturated rotating channel. Further, the discussion on steady and pulsatile pressure gradient has made the study interesting. It is noteworthy to remark that the presence of pulsatile pressure gradient has rendered the secondary flow to be positive where as in case of steady pressure gradient it is all through negative for all cases. Further, the strong magnetic interaction and higher rotation initiate flow instability in the central region of the channel. Moreover, greater magnetic interaction contributes to smoothness of the profile and oscillatory pressure gradient increases the secondary velocity preventing backflow,which are beneficial toMHD rotating generator system. © 2015, Pleiades Publishing, Ltd.


Bebarta D.K.,GMR Institute of Technology | Rout A.K.,GMR Institute of Technology | Biswal B.,GMR Institute of Technology | Dash P.K.,Soa University
2012 Annual IEEE India Conference, INDICON 2012 | Year: 2012

Forecasting stock price index is one of the major challenges in the trade market for investors. Time series data for prediction are difficult to manipulate, but can be focused as segments to discover interesting patterns. In this paper we use several functional link artificial neural networks to get such patterns for predicting stock indices. The novel architecture of functional link artificial neural network with working principle of different models are provided to achieve best forecasting and classification with increase in accuracy of prediction and decrease in training time. Various FLANN models with different polynomials are investigated using different Indian stock indices like IBM, BSE, Oracle, & RIL. The main absolute percentage error (MAPE), sum squared error (SSE) and the standard deviation error (SDE) have been considered to measure the performance of the different FLANN models. In this paper we have presented the result using Reliance Industries Limited (RIL) stock data between 22/12/1999 to 30/12/2011 on closed price of every trading day. © 2012 IEEE.


Nanda S.,Soa University | Biswal M.,Soa University | Dash P.K.,Soa University
AEU - International Journal of Electronics and Communications | Year: 2014

This paper presents an improved adaptive linear combiner (Adaline) structure for fast estimation of time varying power signal parameters corrupted by noise. Unlike the conventional Adaline approach, the new algorithm minimizes an objective function based on weighted square of the error and uses a modified recursive Gauss Newton (MRGN) method. The Hessian matrix, obtained by minimizing the objective function, was simplified using certain approximations. A weight adjustment procedure for the Adaline is defined in a decoupled manner for direct current (DC), fundamental, harmonic components and system frequency. The new improved Adaline, thus produces a faster convergence and tracking accuracy for the time varying distorted power system signals. To test the effectiveness of the algorithm, several time varying power network signals were simulated with abrupt change in system frequency, harmonics, decaying dc components with low signal to noise ratio (SNR), and the changing parameters were estimated. The performance of proposed Adaline structure is compared with the standard Adaline structure in terms of accuracy. © 2013 Elsevier GmbH.


Pradhan D.K.,National Institute of Technology Rourkela | Behera B.,Sambalpur University | Das P.R.,Soa University
Journal of Materials Science: Materials in Electronics | Year: 2012

A polycrystalline ceramic with a new type of complex tungsten-bronze type structure, having a general formula K 2Ba 2Nd 2Ti 4Nb 4W 2O 30 has been prepared using a high temperature solid-state reaction route after optimizing the calcinations conditions on the basis of thermal analysis results. The material has been characterized by different experimental techniques. The formation of the compound has been confirmed using X-ray diffraction analysis. Dielectric properties (ε r and tanδ) of the compound as a function of temperature at different frequencies have been carried out. Temperature dependence of dielectric constant indicates the presence of ferroelectric phase transition well above the room temperature. Complex impedance spectroscopic analysis has been carried out as a function of frequency at different temperatures to establish some correlation between the microstructure and electrical properties of the material. The nature of frequency dependence of ac conductivity obeys the Jonscher's power law. The dc conductivity calculated from the ac conductivity spectrum shows the negative temperature coefficient of resistance behavior like a semiconductor. © Springer Science+Business Media, LLC 2011.


Mishra M.,Soa University | Rout P.K.,Electrical Engineering from BijuPattanik University of Technology
International Review of Electrical Engineering | Year: 2016

This paper presents a novel technique based on time-frequency analysis to detect the islanding conditions in distribution network with the presence of multiple distributed generations (DGs). Various islanding and non-islanding fault conditions such as capacitor switching, load rejection and line to line fault etc., are analyzed through negative sequence decomposition technique. Feature extraction has been carried out by two time-frequency analysis techniques based on wavelet transform (WT) and S-Transform (ST). For the detection of various disturbances the energy and standard deviation (SD) features of signals are estimated by wavelet transform coefficient and S-transform matrix. Furthermore, based on the estimated features the artificial neural network (ANN) and support vector machine (SVM) are used as a classifier to classify the islanding and non-islanding events. For showing the effectiveness of the proposed technique to detect islanding conditions under a wide range of operating environment, some simulated results are presented. © 2016 Praise Worthy Prize S.r.l. - All rights reserved.


Biswal B.,GMRIT | Behera H.S.,VSSUT | Bisoi R.,Soa University | Dash P.K.,Soa University
Swarm and Evolutionary Computation | Year: 2012

This paper presents a new approach for processing various non-stationary power quality waveforms through a Fast S-Transform with modified Gaussian window to generate timefrequency contours for extracting relevant feature vectors for automatic disturbance pattern classification. The extracted features are then clustered using Bacterial Foraging Optimization Algorithm (BFOA) based Fuzzy decision tree to give improved classification accuracy in comparison to the Fuzzy decision tree alone. To circumvent the problem of premature convergence of BFOA and to improve classification accuracy further, a hybridization of BFOA (Bacterial Foraging Optimization Algorithm) with another very popular optimization technique of current interest called Differential Evolution (DE) is presented in this paper. For robustness the mutation loop of the DE algorithm has been made variable in a stochastic fashion. This hybrid algorithm (Chemotactic Differential Evolution Algorithm (CDEA)) is shown to overcome the problems of slow and premature convergence of BFOA and provide significant improvement in power signal pattern classification. © 2011 Elsevier B.V. All rights reserved.


Nayak N.,Soa University | Routray S.K.,Soa University | Rout P.K.,Soa University
International Journal of Automation and Control | Year: 2013

This paper presents a robust non-linear hybrid controller based on Type-2 fuzzy and sliding mode control strategy for VSC-HVDC transmission link, which inherits the benefits of these two methods. The interval Type-2 fuzzy (IT2FSMC) is used to handle the uncertainties to enhance the real time performance. The sliding mode control combines with the fuzzy system to compensate the influence of un-modelled dynamics and chattering phenomena on the system response, and also to improve the robustness of the reaching phase of the sliding mode control (SMC). The effectiveness of the proposed controller is demonstrated through digital simulation studies using MATLAB/SIMULINK software package. The simulation results show that the proposed controller contribute significantly towards improving the damping behaviour of the VSC-HVDC system with regard to parameter variations and external load disturbances compared to conventional PI controller under a wide range of operating conditions. Copyright © 2013 Inderscience Enterprises Ltd.


Sahoo H.K.,IIIT | Dash P.K.,Soa University | Rath N.P.,VSSUT
Applied Soft Computing Journal | Year: 2013

This paper proposes NARX (nonlinear autoregressive model with exogenous input) model structures with functional expansion of input patterns by using low complexity ANN (artificial neural network) for nonlinear system identification. Chebyshev polynomials, Legendre polynomials, trigonometric expansions using sine and cosine functions as well as wavelet basis functions are used for the functional expansion of input patterns. The past input and output samples are modeled as a nonlinear NARX process and robust H∞ filter is proposed as the learning algorithm for the neural network to identify the unknown plants. H∞ filtering approach is based on the state space modeling of model parameters and evaluation of Jacobian matrices. This approach is the robustification of Kalman filter which exhibits robust characteristics and fast convergence properties. Comparison results for different nonlinear dynamic plants with forgetting factor recursive least square (FFRLS) and extended Kalman filter (EKF) algorithms demonstrate the effectiveness of the proposed approach. © 2013 Elsevier B.V. All rights reserved.

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