Balasore, India

Fakir Mohan University
Balasore, India

Fakir Mohan University is a university situated in Balasore, Odisha, India. It was carved out of the Utkal University in 1999 and acts as an affiliating university. The university has 60 colleges and 150,000 students at the graduate and postgraduate levels. It is the only University in India that offers a postgraduate course in Ballistics. Wikipedia.

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Dehuri S.,Fakir Mohan University | Cho S.-B.,Yonsei University
Neural Computing and Applications | Year: 2010

Functional link neural network (FLNN) is a class of higher order neural networks (HONs) and have gained extensive popularity in recent years. FLNN have been successfully used in many applications such as system identification, channel equalization, short-term electric-load forecasting, and some of the tasks of data mining. The goals of this paper are to: (1) provide readers who are novice to this area with a basis of understanding FLNN and a comprehensive survey, while offering specialists an updated picture of the depth and breadth of the theory and applications; (2) present a new hybrid learning scheme for Chebyshev functional link neural network (CFLNN); and (3) suggest possible remedies and guidelines for practical applications in data mining. We then validate the proposed learning scheme for CFLNN in classification by an extensive simulation study. Comprehensive performance comparisons with a number of existing methods are presented. © Springer-Verlag London Limited 2009.

Mohammad A.,University of Delhi | Mohammad A.,Hamilton College | Mittra B.,Fakir Mohan University
Archives of Agronomy and Soil Science | Year: 2013

The beneficial effects of a Glomus deserticola strain isolated from the rhizosphere of grasses (belonging to Poaceae family) growing along the industrial waste from a distillery were investigated under stress conditions. The study was conducted to assess the efficacy of the arbuscular mycorrhizal (AM) fungal ecotype in salinity and heavy metal (HM) tolerance of eggplant (Solanum melongena L.) in soils amended with various stress levels of NaCl, zinc and cadmium. Mycorrhizal (M) seedlings produced a significantly (p < 0.05) greater growth response and were more tolerant to salt and HM stresses than nonmycorrhizal (NM) seedlings in all treatments. The HM contents in the plant tissues were significantly higher in M than NM eggplants. Furthermore, when the efficacy was compared with other AM isolates in HM-polluted soils with Sudan grass (Sorghum sudanese Staph.) as a test plant, the AM ecotype responded best to these soils, as evident from the significantly greater growth response and its aggressiveness in colonizing roots in all soil types tested. These results suggest that this G. deserticola ecotype can be used as an effective tool to alleviate the adverse effects of excessive salinity and HM toxicity on plant growth. Finally, the isolate may have potential in the bioremediation of polluted soils. © 2013 Copyright Taylor and Francis Group, LLC.

Sahu B.,Institute of Physics, Bhubaneswar | Agarwalla S.K.,Fakir Mohan University | Patra S.K.,Institute of Physics, Bhubaneswar
Physical Review C - Nuclear Physics | Year: 2011

The proton radioactivity lifetimes of proton emitters from the ground and the isomeric states are calculated using the microscopic M3Y + Ex and R3Y + Ex (proposed) nucleon-nucleus interaction potentials. These interaction potentials are obtained by single folding the densities of the daughter nuclei supplemented by a zero-range pseudopotential. The quantum-mechanical-tunneling probability is calculated within the WKB approximation. The calculated results are found to be in good agreement with the experimental data for both the M3Y and R3Y interactions. © 2011 American Physical Society.

Chimankar D.A.,Fakir Mohan University | Sahoo H.,Dr. Babasaheb Ambedkar Marathwada University
Studies on Ethno-Medicine | Year: 2011

The National Family Health Survey (NFHS-III 2005-06) provided a gloomy picture of the status of maternal health indicators of Uttarakhand. The state has witnessed a higher proportion of high risk pregnancies. A large number of births take place outside the health system (67.4 percent), the majority being attended by untrained dais (midwives). These have resulted in higher maternal morbidity and mortality. Therefore, the present paper attempts to find out the possible factors influencing the use of maternal health care services, using the data from NFHS III. Both bi-variate and multivariate analysis have been carried out for the study by taking ante-natal care and delivery care as dependant variables. The result reveals that the educational level of women, birth order and wealth index are significant predictors in explaining ante-natal and delivery care. Controlling the effect of other variables, the predictive power of women's educational level, wealth index have been positively associated with antenatal care and also delivery care. © Kamla-Raj 2011.

Mohapatra S.,Fakir Mohan University | Mittra B.,Fakir Mohan University
Plant Physiology and Biochemistry | Year: 2016

Fusarium induced oxidative stress could be recovered by reversible protein oxidative modification through the process of glutathionylation in co-stressed (low-dose (50 μM) Cd2+ pre-treatment followed by Fusarium inoculation) wheat seedlings. Co-stressed seedlings showed low disease severity index as compared to Fusarium infected seedlings. A reduced level of hydrogen peroxide (H2O2) and carbonyl contents due to irreversible protein oxidation were observed in co-stressed seedlings as compared to Fusarium infected seedlings. Further, a comparative biochemical assay showed an enhanced glutathione content in co-stressed tissues as compared to Fusarium infected tissues. In an investigation, reduced glutathione pre-coated agarose gel beads were used to pull down proteins having affinity with GSH. Fructose-1, 6-bisphosphate aldolase and 3-Phosphoglycerate kinase were observed to be co-existed in co-stressed seedlings when analysed by LC-MS/MS after being processed through protein-pull assay. Co-stressed tissues showed an enhanced free protein thiol content as compared to Fusarium infected tissues. The ratio of free thiol to thiol disulfides was also observed to be increased in co-stressed tissues as compared to Fusarium infected tissues. In contrast, the quantitative assay by Ellman's reagent and qualitative analysis by diagonal gel electrophoresis showed enhanced protein thiol disulfides in Fusarium infected tissues as compared to co-stressed tissues. Further, glutaredoxin, responsible for the reverse reduction of proteins was observed to be enhanced in co-stressed tissues as compared to Fusarium infected tissues. Thus, a low dose Cd2+ triggered glutathionylation is suggestive of offering tolerance against Fusarium induced oxidative stress and protects target proteins from irreversible modification and permanent damage in wheat. © 2016 Elsevier Masson SAS

Dehuri S.,Fakir Mohan University | Cho S.-B.,Yonsei University
International Journal of Fuzzy System Applications | Year: 2012

This paper proposes an algorithm for classification by learning fuzzy network with a sequence bound global particle swarm optimizer. The aim of this work can be achieved in two folded. Fold one provides an explicit mapping of an input features from original domain to fuzzy domain with a multiple fuzzy sets and the second fold discusses the novel sequence bound global particle swarm optimizer for evolution of optimal set of connection weights between hidden layer and output layer of the fuzzy network. The novel sequence bound global particle swarm optimizer can solve the problem of premature convergence when learning the fuzzy network plagued with many local optimal solutions. Unlike multi-layer perceptron with many hidden layers it has only single hidden layer. The output layer of this network contains one neuron. This network advocates a simple and understandable architecture for classification. The experimental studies show that the classification accuracy of the proposed algorithm is promising and superior to other alternatives such as multi-layer perceptron and radial basis function network. © 2012, IGI Global.

Sahu A.,Siksha ‘O’ Anusandhan University | Pattnaik S.,Fakir Mohan University
Procedia Computer Science | Year: 2016

In this paper a method to optimize the structure of neural network named as Adaptive Particle Swarm Optimization (PSO) has been proposed. In this method nested PSO has been used. Each particle in outer PSO is used for different network construction. The particles update themselves in each iteration by following the global best and personal best performances. The inner PSO isused for training the networks and evaluate the performance of the networks. The effectiveness of this method is tested on many benchmark datasets to find out their optimum structure and the results are compared with other population based methods and finally the optimum structure is implemented using Modified Teaching Learning Based Optimization(MTLBO)for classification using neural network in data mining. © 2016 The Authors. Published by Elsevier B.V.

Panigrahi S.K.,Interscience Institute of Management and Technology | Pattnaik S.,Fakir Mohan University
Procedia Computer Science | Year: 2016

In this Paper the focus is given on data clustering using Modified Teaching-Learning Based Optimization (MTLBO) a hybridization technique of TLBO. Unlike TLBO, this population based method works on the effect of influence of a teacher on learners to find the optimum solution and it has been used for clustering. The motivation behind the data clustering is to find inherent structure in the data items and grouping then on the basis of their mutual similarity. The effectiveness of the method is tested on many benchmark problems with different characteristics and the results are compared with other population based methods and finally it is implemented on clustering using neural network in data mining. © 2016 The Authors. Published by Elsevier B.V.

Pattnayak J.,Raajdhani Engineering College | Pattnaik S.,Fakir Mohan University
Procedia Computer Science | Year: 2016

The study aims of creating a knowledge society (KS) through e-learning (EL) with the support of web services. EL system with its elements is the matter of discussion at the beginning of the study. For effective EL system, integration of web services with EL system is essential which is emphasized in the paper. Web 2.0 services such as blogs promote the content creation, assessment and evaluation, wikis makes the user enable of creating editable contents in the form of highly searchable knowledge-bases. Group work, Question & Answer (Q & A) sessions are performed by social networking and discussion forums. RSS feeds, Tags, Podcasts and Videocasts are considered as supporting services to speed up the knowledge management process. Web 3.0 services can apply artificial intelligence (AI) technique to speed up the teaching/learning process. The integration is expected to create the KS and the global knowledge warehouse. © 2016 The Authors. Published by Elsevier B.V.

Misra A.N.,Fakir Mohan University | Misra M.,Fakir Mohan University | Singh R.,Fakir Mohan University
Plant, Soil and Environment | Year: 2011

Nitric oxide (NO) is a gaseous diatomic molecule with a wide variety of physiological and pathological implications in plants. Presence of unpaired electron in its molecular orbital makes it highly reactive; it can react directly with metal complexes, radicals, DNA, proteins, lipids and other biomolecules. Nitric oxide (NO) and reactive oxygen species (ROS) are known to play essential role in a number of important plant physiological processes. Tis manuscript reviews the role of NO on these processes during various biotic and abiotic stresses.

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