Parida M.,SCITM |
Nanda S.P.,CUTM |
Mishra S.C.,National Institute of Technology Rourkela
IOP Conference Series: Materials Science and Engineering | Year: 2017
Aluminum based abradable coating is used for sealing purpose in compressor casing of aero engines to withstand up to a service temperature of 450°C. Al-BNSiO2 composite coating is deposited using thermal plasma spray technique. Coating thickness measured and porosity of the coating is evaluated.Coating morphology is observed and EDSanalysis is done with SEM (Jeol make). The effect of time on the sea water corrosion behavior of the coating is evaluated. It is observed that, there is a sharp increase in weight gain of the coating up to six weeks of immersion. This behavior is attributed to the adsorption/deposition of other elements/reactions taking place during interaction with sea water. © Published under licence by IOP Publishing Ltd.
Vamshi Krishna M.,CUTM |
Raju G.S.N.,Andhra University |
Proceedings of the International Conference on Electromagnetic Interference and Compatibility | Year: 2017
Array pattern synthesis is one of the most important problems in communication and radar applications. The synthesis is usually carried out by controlling amplitude and phase levels (or) element spacing functions of the array. Although, uniform linear arrays cost effective in terms of sources it is not preferred due to high presence of high first side lobe levels. For point to the point communications, and high angular resolutions radars, it is essential to generate low side lobe narrow beams. In view of these facts, a linear array is considered in the present work and it is optimally designed using CSA & APSO algorithms. The desired amplitude levels are evaluated using the algorithm with element spacing d=0.50. The main objective of this work is to minimize the sidelobe level with a constraint on beam width. © 2016 IEEE.
Kumar A.K.,CUTM |
Patnaik S.,CUTM |
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017
In Image processing applications the utilization of on-chip Static Random Access memory (SRAM) in Field Programmable Gate Array (FPGA) is extremely important. True dual port (TDP) SRAM and Single port SRAM are typically available SRAM's for image processing applications, but in case of data access policy the memory need to redesign. Hence On-Chip memory architecture capable of scanning the data in different ways without redesign. In the proposed sub bank Dual Port Memory Architecture SP SRAM has been modified to functions as TDP SRAM with high throughput less power consumption. It also provides High level of abstraction for image processing algorithms with the help of two port memory control unit, clock and address generators, the proposed sub bank read and write operations are takes place without compromising the speed. © 2016 IEEE.
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.
Rao C.J.,Aditya Institute of Technology and Management |
Rao D.N.,CUTM |
Srihari P.,Aditya Institute of Technology and Management
Procedia Engineering | Year: 2013
This research reports the significance of influence of speed, feed and depth of cut on cutting force and surface roughness while working with tool made of ceramic with an Al2O3+TiC matrix (KY1615)and the work material of AISI 1050 steel (hardness of 484 HV). Experiments were conducted using Johnford TC35 Industrial type of CNC lathe. Taguchi method (L27 design with 3 levels and 3 factors) was used for the experiments. Analysis of variance with adjusted approach has been adopted. The results have indicated that it is feed rate which has significant influence both on cutting force as well as surface roughness. Depth of cut has a significant influence on cutting force, but has an insignificant influence on surface roughness. The interaction of feed and depth of cut and the interaction of all the three cutting parameters have significant influence on cutting force, whereas, none of the interaction effects are having significant influence on the surface roughness produced. If power consumption minimization is to be achieved for the best possible surface finish, the most recommended combination of feed rate and depth of cut is also determined. © 2013 The Authors. Published by Elsevier Ltd.
Divakar T.V.S.,C.U.T.M |
Panda D.C.,Berhampur University
International Conference on Electrical, Electronics, Signals, Communication and Optimization, EESCO 2015 | Year: 2015
In this paper, a novel -shape microstrip patch antenna that provides wide-impedance bandwidth performance in addition to the acceptable radiation patterns is presented. The substrate is a microwave substrate backed by a foam material, and for ease of fabrication, the patch is etched on a thin dielectric layer, which is placed over the microwave substrate and fed by a coaxial probe. The measured and simulated radiation patterns are in acceptable agreement. © 2015 IEEE.
Satapathy S.C.,ANITS |
Naik A.,MITS |
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.,MITS |
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.
Panda S.K.,National Institute of Technology Rourkela |
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014
Renewable energy sources made a big impact to the world due to its un-limitedness. However for efficient consumption of power, proper synchronization of grid side inverter is essential. And the control of inverter largely depends on grid voltage parameters. This paper proposes an efficient way of synchronization for grid connected converter using an enhanced frequency locked loop (FLL). This method is useful in estimating the positive and negative sequence components of fundamental with more preciseness. The enhanced FLL is named as Auto-Adjustable Gain Frequency Locked Loop (AGFLL), as the gain is automatically adjusted by itself. It is first shown how the positive and negative sequence generated, and then the proposed AGFLL is hypothesized and investigated. Also there is a comparative study of AGFLL given with respect to different fixed gain SOGI-FLL. Finally the robustness of proposed algorithm was verified with Dual Second Order Generalized Integrator (DSOGI). The whole thing studied and examined in MATLAB/SEVIULINK environment. © 2014 IEEE.
Mohapatra B.N.,CUTM |
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.