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Articles by G. Sahoo
Total Records ( 5 ) for G. Sahoo
  P. Mohapatra , R.K. Swain , S.K. Mishra , T. Behera , P. Swain , N.C. Behura , G. Sahoo , K. Sethy , B.P. Bhol and K. Dhama
  To study the comparative effects of Nano Selenium (Nano-Se) and sodium selenite on the growth, bioavailability, antioxidative activities, hematological and biochemical parameters, cellular and humoral immunity, a trial was conducted on BV 300 layer birds during grower phase (9-20 after weeks) in six treated groups. After twenth weeks body weight of the all Nano-Se treated groups (up to a dose of 0.3 mg kg-1 of diet) was found to be significantly (p<0.05) higher than sodium selenite treated and control groups. However, further increase in dietary Nano-Se content in feed had negative effect on body weight of bird. Birds fed with both Nano-Se and sodium selenite showed higher (p<0.05) Se content in different tissues (Such as breast muscle, liver, kidney, pancreas, serum and feathers). However, Se content in liver, breast muscle, pancrease and feathers were signifcantly higher (p<0.05) in Nano-Se treated groups. In addition, significant (p<0.05) difference was observed as regard to glutathione peroxidase (GSH-Px), erythrocyte catalase (CAT) and superoxide dismutase (SOD) activities among the treated groups. Significantly better cellular and humoral immunity response were observed in Se supplemented birds. Dietary supplementation of Nano-Se improved the body weight, feed consumption ratio, antioxidant status, immunity and tissue Se deposition in grower birds.
  A. Das , S.K. Mishra , R.K. Swain , G. Sahoo , N.C. Behura , K. Sethi , B. Chichilichi , S.R. Mishra , T. Behera , K. Dhama and P. Swain
  A comparative study on effect of replacement of inorganic minerals viz., Zinc (Zn), Copper (Cu) and Manganese (Mn) with their corresponding organic minerals (methionine) on growth, bioavailability and immunity in layer chicks was undertaken till 8th week post feeding. At 8th week, the body weight of birds were found to be significantly (p<0.05) higher in 100% organic Zn group, 100 and 50% organic Zn, Cu and Mn supplemented groups. The cumulative feed consumption and Feed Conversion Ratio (FCR) of all the treated groups showed no significant (p>0.05) difference. The serum glucose, cholesterol and ALP levels showed significant (p<0.05) differences. Significantly (p<0.05) higher titer levels were observed in 100% organic Zn group, 100% and 50% organic Zn, Cu and Mn supplementation groups. The CBH response of all the treated groups showed no significant (p>0.05) difference. At 8 weeks of age, the relative weight of spleen of layer chicks in 100% and 50% organic Zn, Cu and Mn supplementation groups were significantly (p<0.05) higher than all the other treatments. Tibia bone weight (g), tibia calcium (%) and tibia phosphorus (%) varied insignificantly (p>0.05). But significant (p<0.05) difference was observed with respect to the tibia ash content. Except Zn and Mn levels of tibia, all other studied mineral levels of serum and liver did not differ significantly (p>0.05). Faecal excretions of minerals were significantly lower in organic mineral fed groups. Replacement of inorganic Zn, Cu and Mn with corresponding organic minerals improved the body weight, immunity and lower faecal excretion of minerals in chicks.
  Abinash Das , S.K. Mishra , R.K. Swain , P. Swain , K. Dhama , G. Sahoo , N.C. Behura , K. Sethy , B. Chichilichi , T. Behera and S.R. Mishra
  Effect of replacement of inorganic minerals viz., zinc (Zn), copper (Cu) and manganese (Mn) with their corresponding organic minerals (methionine) on growth, bioavailability and immunity was studied in grower birds (9th to 20th week). At 20th week, the body weight of grower birds were significantly (p<0.05) higher in 100% organic Zn group, 100 and 50% organic Zn, Cu and Mn supplemented groups. The cumulative feed consumption and FCR of all the treated groups showed no significant (p>0.05) difference. The serum glucose, after cholesterol SGOT, SGPT and ALP levels differ significantly (p<0.05) of all the treated groups of differed significantly (p<0.05). The CBH response and the antibody titers against SRBC were found to be significantly higher in 100% organic Zn group and 100% Zn, Cu and Mn supplemented groups. Tibia bone weight (g), tibia calcium (%) and tibia phosphorus (%) varied insignificantly (p>0.05). But significant (p<0.05) difference was observed as regard to the tibia ash content. Faecal excretions of Zn, Cu and Mn were significantly lower in organic mineral fed groups. Replacement of inorganic Zn, Cu and Mn with their corresponding organic minerals improved the body weight and immunity, with lower faecal excretion of minerals in grower birds.
  Upendra Kumar , Bimal Kumar Mishrav and G. Sahoo
  The next generation computer viruses may spread within minutes to millions of host. A challenging task is to protect computer network from virus attacks. Researchers have developed a framework of computer network with honeynet using double honeypot and sticky honeypot. The double honeypot is used to recognize old and new viruses. The old virus gets filtered by router as well as updated antivirus installed in different hosts. Sticky honeypot attracts new virus to minimize transmission speed and redirect it towards unused IP address system. The Transmission Control Protocol (TCP) trick is implemented on unused IP address system having virus to make window size zero and further related system gets filtered by updated antivirus.
  Yugal Kumar and G. Sahoo
  K-Means algorithm is most popular partition based algorithm that is widely used in data clustering. A lot of algorithms have been proposed for data clustering using K-Means algorithm due to its simplicity, efficiency and ease convergence. In spite this K-Means algorithm has some drawbacks like initial cluster centers. In this study, a new method is proposed to address the initial cluster centers problem in K-means based on binary search technique. The initial cluster centers is obtained using Binary Search Method and the newly generated cluster centers are used as initial cluster centers in K-means to gain optimal cluster centers in dataset. The performance of the Proposed algorithm is tested on the two benchmark dataset iris and wine that are downloaded from the UCI machine learning repository and compare the proposed method with Random, Hartigan and Wang, Ward, Build, Astrhan, Minkowaski ward and IWKM Method in which proposed method with K-means provides 82.93 and 68.94 accuracy rate and intra cluster distance is 105.72 and 18059.81 with iris and wine datasets as well as proposed method with IWKM provides 96.7 and 95.8 accuracy rate.
 
 
 
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