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Paralakhemundi, India

Gantayat S.S.,GMRIT | Misra A.,CUTM | Panda B.S.,MITS Engineering College
Advances in Intelligent Systems and Computing | Year: 2014

Incomplete data are questions without answers or variables without observations. Even a small percentage of missing data can cause serious problems with the analysis leading to draw wrong conclusions and imperfect knowledge. There are many techniques to overcome the imperfect knowledge and manage data with incomplete items, but no one is absolutely better than the others. To handle such problems, researchers are trying to solve it in different directions and then proposed to handle the information system. The attribute values are important for information processing. In the field of databases, various efforts have been made for the improvement and enhance of database query process to handle the data. The different researchers have tried and are trying to handle the imprecise and/or uncertainty in databases. The methodology followed by different approaches like: Fuzzy sets, Rough sets, Boolean Logic, Possibility Theory, Statistically Similarity etc. © Springer International Publishing Switzerland 2014.

Satapathy S.C.,ANITS | Naik A.,M.I.T.S | Parvathi K.,CUTM
Communications in Computer and Information Science | Year: 2012

This paper presents optimal solution of the unit maintenance scheduling problem in which the cost reduction is as important as reliability. The objective function of the algorithms used to address this problem, considers the effect of economy as well as reliability. Various constraints such as spinning reserve, duration of maintenance crew are being taken into account while dealing with such type of problems. In our work we apply the Teaching learning based optimization algorithm on a power system with six generating units. Numerical results reveal that the proposed algorithm can find better and faster solutions when compared to other heuristic or deterministic methods. © 2012 Springer-Verlag.

Satapathy S.C.,ANITS | Naik A.,M.I.T.S | Parvathi K.,CUTM
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Evolutionary computation is a collection of algorithms based on the evolution of a population towards a solution of certain problem. These algorithms can be used successfully in many applications requiring the optimization. These algorithms have been widely used to optimize the learning mechanism of classifiers, particularly on Artificial Neural Network (ANN) Classifier. Major disadvantages of ANN classifier are due to its slow convergence and always being trapped at the local minima. To overcome this problem, TLBO (Teaching learning based optimization) has been used to determine optimal value for learning mechanism. In this study, TLBO is chosen and applied to feed forward neural network to enhance the learning process. Two programs have developed, Differential Evolution Neural Network (DENN) and Particle Swarm Optimization with Neural Network (PSONN) to probe the impact of these methods on a Teaching learning based optimization with neural network (TLBONN) learning using various datasets. The results have revealed that TLBONN has given quite promising results in terms of smaller errors compared to PSONN and DENN. © 2012 Springer-Verlag.

Mohapatra B.N.,CUTM | Mohapatra R.K.,TCET
Procedia Computer Science | Year: 2016

Digital finite impulse response (FIR) filters are very useful to digital devices such as hand phones, digital cameras and tablet computers and in many more digital product. The important behind this is digital signal processor and all these products working as the brain of human if we compared to advance signal processing (ASP). One of the common and suitable processing technique is filtering. Here we focus on three window technique named as parks McClellan, Rectangular and Kaiser window technique as well as some prototype filter deign and showing some result with respect to their filter characteristics. © 2016 The Authors.

Seth G.S.,Indian School of Mines | Sarkar S.,Indian School of Mines | Hussain S.M.,O P Jindal Institute Of Technology | Mahato G.K.,CUTM
Journal of Applied Fluid Mechanics | Year: 2015

An investigation of the effects of Hall current and rotation on unsteady hydromagnetic natural convection flow with heat and mass transfer of an electrically conducting, viscous, incompressible and time dependent heat absorbing fluid past an impulsively moving vertical plate in a porous medium taking thermal and mass diffusions into account is carried out. Exact solution of the governing equations is obtained in closed form by Laplace Transform technique. Exact solution is also obtained in case of unit Prandtl number and unit Schmidt number. Expressions for skin friction due to primary and secondary flows and Nusselt number are derived for both ramped temperature and isothermal plates. Expression for Sherwood number is also derived. The numerical values of primary and secondary fluid velocities and species concentration are displayed graphically whereas that of skin friction and Nusselt number are presented in tabular form for various values of pertinent flow parameters.

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