Krupajal Engineering College

Bhubaneshwar, India

Krupajal Engineering College

Bhubaneshwar, India
SEARCH FILTERS
Time filter
Source Type

Rout S.K.,Siksha ‘O’ Anusandhan University | Rath A.K.,Veer Surendra Sai University of Technology | Bhagabati C.,Krupajal Engineering College
2016 5th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2016: Trends and Future Directions | Year: 2016

Wireless Sensor Network has a wide range of application in the field military operation, tracking, and data acquisition in hazardous environments. It is a vital and essential thing to guarantee the security and resilience of sensor networks. The wireless sensor node localization plays an important role for collecting meaningful information from an exact location. During node localization process security is a vital issue to protect the data losses from unauthorised person. In this research work, we introduce efficient and effective secure node localization and a dynamic key management solution for wireless sensor networks. In this scheme we present secure node authentication with distance measurement and we call secure information verification by malicious node cleaning. Also we present key management schemes; it is assumed that key information is stored in very powerful and reliable sensor node and not in individual nodes. It is an important issue for protecting the powerful node by which the sensor network can be made secure, energy efficient and cost effective because moving anchor node plays a major role during localization process. © 2016 IEEE.


Kumar Rout S.,Siksha ‘O’ Anusandhan University | Rath A.K.,Veer Surendra Sai University of Technology | Bhagabati C.,Krupajal Engineering College | Mohapatra P.K.,Orissa Engineering College, Bhubaneswar
2016 International Conference on Information Technology, InCITe 2016 - The Next Generation IT Summit on the Theme - Internet of Things: Connect your Worlds | Year: 2016

Localization in Mobile Sensor Network presents, a never seen before challenge in this modern era. Localization algorithms somehow able to manage to solve the problem in a practical deployment. The following dossier article comes up with an idea to solve the trilateration problem. We propose Fuzzy Based Eminence of Trilateration (FBEOT) that helps in defining an efficient and dynamic mapping of nodes and relationship among ranging noise factor with objects. It is specific in FBEOT, that we design a dynamic Fuzzy optimization localization method, in which the most efficient and powerful node is selected for trilaterations process of localization in sensor network. To confirm this Dynamic Framework, combination of fuzzy optimization & TDOA technique with an efficient protocol is used. FBEOT is suitable in calculating trilateration accuracy factor and also the proposed localization method significantly improves localization performances. © 2016 IEEE.


Mohapatra P.K.,Orissa Engineering College, Bhubaneswar | Jena P.K.,GITA | Bisoi S.K.,Orissa Engineering College, Bhubaneswar | Rout S.K.,Krupajal Engineering College | Panigrahi S.P.,GITA
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

Equalization at the receiver is very much essential in communication system. It not only reduce the noise, ISI or CCI but to give a best possible signal to us. In this paper we have applied different optimization techniques like algorithms at the equalizer so that will get a desired signal. We proposed two algorithms, one is LSL (Least Squares Lattice) based on least square method which one of the most attractive properties is on excellent convergence velocity in order to estimate prediction error and also it has a reduced computational complexity. We have proposed another algorithm is variable length CMA which is applied on mixed phase channel for QAM signals. This method gives better convergence rate and also reduce MSE. © 2016 IEEE.


Nayak B.B.,Institute of Minerals and Materials Technology Council of Scientific and Industrial Research | Kar O.P.N.,Krupajal Engineering College | Behera D.,Institute of Minerals and Materials Technology Council of Scientific and Industrial Research | Mishra B.K.,Institute of Minerals and Materials Technology Council of Scientific and Industrial Research
Surface Engineering | Year: 2011

Grey cast iron substrates were case nitrided at 1000-1100°C by varying several process parameters such as nitriding time, flowrate of N2 and nitriding gas configuration. Ar and H2 were mixed with N2 to change the configuration and to observe their influence on the nitrided case. Nitriding was carried out in a specially designed arc plasma heated reactor with water cooled steel casing. X-ray diffraction studies show that the nitride peaks arise due to growth of iron nitride phases such as γ′ (Fe4N: 5·7-6·1%N), ε (Fe3N: 8-11·2%N) and carbon nitride (C3N4). Typical surface morphologies of the 10-30 μm nitride layer were studied by SEM. Microhardness studies exhibited twofold improvement of surface hardness. Nanoindentation test indicated poor plastic behaviour of the surface. Micro-Raman spectra of the nitided case established the presence of β-C3N4, a superhard phase. Nitrided grey cast iron may find use in wear and corrosion resistant dies, machine components and parts in various industrial applications. © 2011 Institute of Materials, Minerals and Mining.


Rout B.R.,Krupajal Engineering College | Parida S.K.,Siksha ‘O’ Anusandhan University | Pattanayak H.B.,Sailabala Womens College
Journal of Engineering Thermophysics | Year: 2014

The influence of radiation and chemical reaction on a natural convective MHD flow through a porous medium bounded by a vertical infinite surface in the presence of transverse magnetic field is studied. The basic equations governing the flow, heat and mass transfer are reduced to a set of ordinary differential equations by appropriate transformations. Governing equations are solved by perturbation technique for velocity, temperature and concentration, and that has been presented graphically for different values of involved parameters. It is observed that effects of magnetic parameter and radiation parameter in the flow field affect the flow significantly. © 2014 Pleiades Publishing, Ltd.


Mohanta R.R.,Krupajal Engineering College | Medicherla V.R.R.,Siksha ‘O’ Anusandhan University | Mohanta K.L.,Siksha ‘O’ Anusandhan University | Nayak N.C.,Siksha ‘O’ Anusandhan University | And 6 more authors.
Applied Surface Science | Year: 2015

We have investigated TiO2 films prepared by pulsed laser deposition method on Si(1 1 1) surface usingX-ray diffraction (XRD), Raman Spectroscopy, X-ray Photoelectron Spectroscopy (XPS), Atomic ForceMicroscopy (AFM) and ion beam sputtering techniques. Our XRD data along with Raman indicated thatthe deposited TiO2 is in anatase phase. The binding energy position of Ti 2p also supports the anatase phaseformation. AFM topography of as deposited film indicates the formation of non uniform TiO2 growth withthe formation of voids on Si(1 1 1) substrate. After sputtering with argon ion beam, surface erosion occursand voids have disappeared. The Ti 2p core level of sputtered TiO2 exhibits the formation of Ti2O3, TiOand pure Ti on the surface. High binding energy shoulder of O 1s peak becomes sharp after sputtering. TiLMM Auger peaks become broader after sputtering but no shift in kinetic energy is observed. © 2014 Elsevier B.V. All rights reserved.


Rout B.R.,Krupajal Engineering College | Parida S.K.,Siksha ‘O’ Anusandhan University | Panda S.,National Institute of Technology Calicut
International Journal of Chemical Engineering | Year: 2013

This paper aims to investigate the influence of chemical reaction and the combined effects of internal heat generation and a convective boundary condition on the laminar boundary layer MHD heat and mass transfer flow over a moving vertical flat plate. The lower surface of the plate is in contact with a hot fluid while the stream of cold fluid flows over the upper surface with heat source and chemical reaction. The basic equations governing the flow, heat transfer, and concentration are reduced to a set of ordinary differential equations by using appropriate transformation for variables and solved numerically by Runge-Kutta fourth-order integration scheme in association with shooting method. The effects of physical parameters on the velocity, temperature, and concentration profiles are illustrated graphically. A table recording the values of skin friction, heat transfer, and mass transfer at the plate is also presented. The discussion focuses on the physical interpretation of the results as well as their comparison with previous studies which shows good agreement as a special case of the problem. © 2013 B. R. Rout et al.


Parida S.K.,Siksha ‘O’ Anusandhan University | Panda S.,National Institute of Technology Calicut | Rout B.R.,Krupajal Engineering College
Alexandria Engineering Journal | Year: 2015

This work considers the two-dimensional steady MHD boundary layer flow of heat and mass transfer over a flat plate with partial slip at the surface subjected to the convective heat flux. The particular attraction lies in searching the effects of variable viscosity and variable thermal diffusivity on the behavior of the flow. In addition, non-linear thermal radiation effects and thermophoresis are taken into account. The governing nonlinear partial differential equations for the flow, heat and mass transfer are transformed into a set of coupled nonlinear ordinary differential equations by using similarity variable, which are solved numerically by applying Runge-Kutta fourth-fifth order integration scheme in association with quasilinear shooting technique. The novel results for the dimensionless velocity, temperature, concentration and ambient Prandtl number within the boundary layer are displayed graphically for various parameters that characterize the flow. The local skin friction, Nusselt number and Sherwood number are shown graphically. The numerical results obtained for the particular case are fairly in good agreement with the result of Rahman [6]. © 2015 Production and hosting by Elsevier B.V.


Mohanta R.R.,Krupajal Engineering College | Medicherla V.R.R.,Siksha ‘O’ Anusandhan University | Mohanta K.L.,Siksha ‘O’ Anusandhan University | Nayak N.C.,Siksha ‘O’ Anusandhan University | Varma S.,Institute of Physics, Bhubaneswar
Advanced Science Letters | Year: 2016

TiO2 films have been prepared by pulsed laser deposition method on Si(111) surface and characterized by using X-ray Diffraction as well as Raman spectroscopy. The surface morphology is studied by Atomic Force Microscopy (AFM). The XRD along with Raman data indicated that our deposited film is in anatase phase. AFM topography of as deposited film indicates the formation of nano structured non uniform TiO2 growth with pits and cracks on silicon substrate. Pit size increases after sputtering the surface with argon ion beam. © 2016 American Scientific Publishers. All rights reserved.


Mohanty A.K.,Siksha ‘O’ Anusandhan University | Senapati M.R.,Krupajal Engineering College | Beberta S.,BPUT | Lenka S.K.,University of Rajasthan
Neural Computing and Applications | Year: 2013

Mammogram-breast X-ray-is considered the most effective, low cost, and reliable method in early detection of breast cancer. Although general rules for the differentiation between benign and malignant breast lesions exist, only 15-30 % of masses referred for surgical biopsy are actually malignant. In this work, an approach is proposed to develop a computer-aided classification system for cancer detection from digital mammograms. The proposed system consists of three major steps. The first step is region of interest (ROI) extraction of 256 × 256 pixels size. The second step is the feature extraction; we used a set of 19 GLCM and GLRLM features, and the 19 (nineteen) features extracted from gray-level run-length matrix and gray-level co-occurrence matrix could distinguish malignant masses from benign masses with an accuracy of 96.7 %. Further analysis was carried out by involving only 12 of the 19 features extracted, which consists of 5 features extracted from GLCM matrix and 7 features extracted from GLRL matrix. The 12 selected features are as follows: Energy, Inertia, Entropy, Maxprob, Inverse, SRE, LRE, GLN, RLN, LGRE, HGRE, and SRLGE; ARM with 12 features as prediction can distinguish malignant mass image and benign mass with a level of accuracy of 93.6 %. Further analysis showed that area under the receiver operating curve was 0.995, which means that the accuracy level of classification is good or very good. Based on that data, it was concluded that texture analysis based on GLCM and GLRLM could distinguish malignant image and benign image with considerably good result. The third step is the classification process; we used the technique of decision tree using image content to classify between normal and cancerous masses. The proposed system was shown to have the large potential for cancer detection from digital mammograms. © 2012 Springer-Verlag London Limited.

Loading Krupajal Engineering College collaborators
Loading Krupajal Engineering College collaborators