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Senapati M.R.,Biju Patnaik University of Technology, Orissa | Dash P.K.,S O A University
Neural Computing and Applications | Year: 2013

Breast cancer is the major cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for classifying breast cancer tumor and proposes the use of firefly algorithm (FA) to improve the performance of Local linear wavelet neural network. This work in fact uses FA to optimize the parameters of local linear wavelet neural network. The experiments were conducted on extracted breast cancer data from University of Winconsin Hospital, Madison. The result has been compared with a wide range of classifiers to evaluate its performance. The evaluations show that the proposed approach is very robust, effective and gives better correct classification as compared to other classifiers. © 2012 Springer-Verlag London Limited.

Jena G.,Biju Patnaik University of Technology, Orissa
Advances in Intelligent Systems and Computing | Year: 2016

A new fast subtractor based on borrow look-ahead is proposed in this paper. The general condition for minimum time delay in the subtractor has been used to obtain the required result. It passes through 4-gate delay irrespective of number size. © Springer International Publishing Switzerland 2016.

Dash H.K.,Biju Patnaik University of Technology, Orissa | Sitharam T.G.,Indian Institute of Science
Geomechanics and Geoengineering | Year: 2011

The effect of non-plastic fines (silt) on the undrained monotonic response of saturated and isotropically consolidated sand specimens prepared to various measures of their density was studied in detail through various approaches namely gross void ratio approach, relative density approach, sand skeleton void ratio approach, and interfine void ratio approach. Specimens of 50 mm in diameter and 100 mm in height were tested at a rate of loading of 0.6 mm/min for this purpose. The limiting silt content and the relative density of a specimen were found to influence the undrained monotonic response of sand-silt mixtures to a great extent. Undrained monotonic response was observed to be independent of silt content at very high relative densities; however the presence of fines significantly influenced this response of loose to medium dense specimens. Individual and combined analyses of undrained monotonic peak strengths which are closely related to the liquefaction related problems have been done in this paper to assess the variation patterns. © 2010 Taylor & Francis.

Thatoi H.N.,Biju Patnaik University of Technology, Orissa | Patra J.K.,Biju Patnaik University of Technology, Orissa | Das S.K.,Biju Patnaik University of Technology, Orissa
Acta Physiologiae Plantarum | Year: 2014

Free radicals derived from reactive oxygen species and reactive nitrogen species are generated in our body by normal cellular metabolism which is enhanced under stress conditions. The most vulnerable biological targets of free radicals are cell structures including proteins, lipids and nucleic acids. Since antioxidants synthesized in the body are not sufficient under oxidative stress, their exogenous supply is important to prevent the body from free radical-induced injury. Recent researches have shown that antioxidants of plant origin with free radical scavenging property could have great importance as therapeutic agents in management of oxidative stress. Mangrove plants growing in inhospitable environment of the intertidal regions of land and sea in tropics and sub-tropics are equipped with very efficient free radical scavenging system to withstand the variety of stress conditions. These mangrove plants possess variety of phytochemical and are rich in phenolic compounds such as flavonoids, isoflavones, flavones, anthocyanins, coumarins, lignans, catechins, isocatechins, etc., which served as source of antioxidants. Isolation and identification of these antioxidant compounds offer great potential for their pharmaceutical exploitations. However, no comprehensive literature is available on antioxidants' studies in mangrove plants in particular. Hence, the present review discusses the antioxidant potential of mangrove plants with its specific role under salt stress as well as the progress made so far in evaluation of antioxidant activities of different mangrove species. © 2013 Franciszek Górski Institute of Plant Physiology, Polish Academy of Sciences, Kraków.

Dash S.K.,Biju Patnaik University of Technology, Orissa | Sahoo J.P.,Siksha ‘O’ Anusandhan University | Mohapatra S.,Siksha ‘O’ Anusandhan University | Pati S.P.,Siksha ‘O’ Anusandhan University
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST | Year: 2012

A broad ranges of vital applications that acquire and process information from the corporeal world are in the extensive need of Wireless sensor networks. Similarly distributed resource sharing is also in the need of Cloud computing which serves as a standards-based approach. Extension of the Cloud computing paradigm to the sharing of sensor resources in wireless sensor networks results in a much promising technology called Sensor Clouds. The amount of data generated from these vast set of sensor applications is huge. These data if combined with various web-based virtual communities can prove to be beneficial in several significant areas like a virtual community of doctors monitoring patient healthcare for virus infection, portal for sharing real-time traffic information, realtime environmental data monitoring and analyzing, etc. To permit this study, all types of sensor data will require for an increasing capability to do analysis and mining on-the-fly. Since the applications provided by Cloud computing is plenty; it may be combined with Sensor network in the application areas such as environmental monitoring, weather forecasting, transportation business, healthcare, military application etc. The idea that WSNs deployed for various applications are brought under one roof and then seeing it as a distinct virtual WSN unit through cloud computing infrastructure is novel. Sharing and analysis of real time sensor data on-the-fly becomes easier when cloud is integrated with WSNs. Added to it is the benefit of providing sensor data or sensor event as a service over the internet. In this paper, we have addressed numerous issues and challenges in the design of Sensor Clouds and we propose a framework called sensor-cloud to enable this exploration by integrating sensor networks to the talented cloud computing. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2012.

Mishra R.R.,North Orissa University | Prajapati S.,Indian Central Rice Research Institute | Das J.,Indian Central Rice Research Institute | Dangar T.K.,Indian Central Rice Research Institute | And 2 more authors.
Chemosphere | Year: 2011

Two Gram (+) bacterial strains, BSB6 and BSB12, showing resistance and potential for Se(IV) reduction among 26 moderately halotolerant isolates from the Bhitarkanika mangrove soil were characterized by biochemical and 16S rDNA sequence analyses. Both of them were strictly aerobic and able to grow in a wide range of pH (4-11), temperature (4-40 °C) and salt concentration (4-12%) having an optimum growth at 37 °C, pH ∼7.5 and 7% salt (NaCl). The biochemical characteristics and 16S rDNA sequence analysis of BSB6 and BSB12 showed the closest phylogenetic similarity with the species Bacillus megaterium. Both the strains effectively reduced Se(IV) and complete reduction of selenite (up to 0.25. mM) was achieved within 40. h. SEM with energy dispersive X-ray and TEM analyses revealed the formation of nano size spherical selenium particles in and around the bacterial cells which were also supported by the confocal micrograph study. The UV-Vis diffuse reflectance spectra and XRD of selenium precipitates revealed that the selenium particles are in the nanometric range and crystalline in nature. These bacterial strains may be exploited further for bioremediation process of Se(IV) at relatively high salt concentrations and green synthesis of selenium nanoparticles. © 2011 Elsevier Ltd.

Sahoo S.S.,Biju Patnaik University of Technology, Orissa | Singh S.,Indian Institute of Technology Bombay | Banerjee R.,Indian Institute of Technology Bombay
Solar Energy | Year: 2013

Linear Fresnel Reflector (LFR) solar thermal system is a promising technology in solar thermal applications. In LFR system, parallel absorber tubes (usually 8-16) are located inside a trapezoidal cavity, which receives reflected solar flux from the mirrors situated below it. The fluid (usually water) inside the tubes undergoes phase change due to the incident solar flux. The focus of this paper is to carry out hydrothermal analysis in an absorber tube of a Linear Fresnel Reflector (LFR) solar thermal system. In the present work, a generic methodology to deal with steady state hydrothermal analysis of the absorber tubes has been discussed. The single phase regions as well as the two-phase region of the absorber tube have been analyzed. A one dimensional model has been used for the analysis for both the regions. In the two-phase region analysis is carried out under the assumption that the homogeneous equilibrium model is valid. For this hydrothermal analysis, the radiative and convective heat losses from the surface of the tube to the atmosphere are obviously needed. To obtain the heat losses, the computational analysis of the heat transfer in the trapezoidal cavity is carried out. The present model can be used to predict the variation of bulk fluid temperature, variation of heat transfer coefficient, pressure loss along the length under different mass flux and different solar flux, in single phase region. Similarly, variation of dryness fraction, local boiling two phase flow coefficient, and total pressure drop can be predicted for two phase region. This model can be used to understand and design for a better LFR system. © 2012.

Senapati M.R.,Biju Patnaik University of Technology, Orissa | Dash P.K.,S o iversity
Artificial Intelligence Review | Year: 2013

A new learning technique for local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weights between the hidden layer and output layer of conventional WNN are replaced by a local linear model. A hybrid training algorithm of Error Back propagation and Recursive Least Square (RLS) is introduced for training the parameters of LLWNN. The variance and centers of LLWNN are updated using back propagation and weights are updated using Recursive Least Square (RLS). Results on extracted breast cancer data from University of Wisconsin Hospital Madison show that the proposed approach is very robust, effective and gives better classification. © 2011 Springer Science+Business Media B.V.

Tripathy P.K.,Biju Patnaik University of Technology, Orissa | Biswal D.,Bijupatnaik University of Technology
International Review on Computers and Software | Year: 2013

More number of research works develops many authentication protocols and algorithms to provide a security in the mobile networks. But these existing protocols have the drawbacks in which a single and more than one server put in practice. These protocols suffer if the single server is compromised by the adversaries and in more than one server the protocols finds high complexity in design and integration of keys. To address these issues in the existing works, in this paper a new complexity reduced protocol is proposed with multiple servers. In this paper, we propose an indirect security protocol for mobile networks based on ECC scheme. Initially, we generate keys to the multiple servers by the ECC scheme and these servers validate the each user node to provide the information. In mobile networks, it is essential to validate every node when it tries to request information from base station. After the key generation and the validation by the servers the information sharing process is accomplished between the user and the base station. In our security protocol is highly secure by generating cryptographic schemes distributed based on ECC and executed over multiple servers. The proposed indirect security protocol performance is analyzed by invoking more number of authenticated and adversary users and the result from this process guarantees the healthiness of the proposed security protocol. The implementation results show the effectiveness of proposed ECC based indirect security protocol in authenticating the users to access the information from the base station and the achieved improvement in security process. Moreover, the performance of the proposed indirect security protocol is evaluated by comparing with the existing indirect authentication security protocol in mobile networks. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.

Patra J.K.,North Orissa University | Dhal N.K.,CSIR - Institute of Minerals And Materials Technology | Thatoi H.N.,Biju Patnaik University of Technology, Orissa
Asian Pacific Journal of Tropical Medicine | Year: 2011

Objective: To investigate the in vitro antioxidant and antimicrobial activities along with phytochemical screening of organic and aqueous extracts of leaf and stem of Suaeda maritima (Dumort), a mangrove associate from Bhitarkanika of Odisha, India. Methods: Antioxidant activity of the crude extracts was evaluated in terms of total antioxidant capacity, total phenol content, ascorbic acid content, DPPH radical scavenging, metal chelating, nitric oxide scavenging, and reducing power etc. The antimicrobial activity of the plant was determined by agar well diffusion method along with MIC and MBC carried out by microdilution techniques against 10 gram positive and gram negative human pathogenic bacteria. The qualitative and quantative phytochemical screening were carried out by standard biochemical assays. Results: Out of the seven antioxidant bioassays, both the leaf and stem extracts were found to posses strong antioxidant properties of 70 % to 92 % for phenol, total antioxidant capacity, DPPH free radical scavenging activity and fairly good ascorbic acid content, metal chelating (1.33 %-22.55 %), reducing power (0.01-0.12) and nitric oxide scavenging (0.84 %-66.99 %) activities. Out of the four extracts evaluated for antimicrobial activity, two leaf extracts such as acetone and ethanol showed promising activity against four pathogenic bacteria and one stem methanol extracts against one pathogenic bacteria when compared with amoxcycillin as standard. The MIC and MBC values of the antimicrobial extracts ranged between 2.5 to 5.0 mg/mL. Screening of phytochemicals showed presence of carbohydrates, protein, tannins, alkaloids and flavonoids in comparatively higher amount than other phytochemicals tested. Conclusions: The present study reveals the presence of potential antioxidants and antimicrobial properties in the plant extract which could be exploited for pharmaceutical application. © 2011 Hainan Medical College.

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