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      • KCI등재

        A Novel Dynamic Optimization Technique for Finding Optimal Trust Weights in Cloud

        Aluri V.H. Sai Prasad,Ganapavarapu V.S. Rajkumar 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.6

        Cloud Computing permits users to access vast amounts of services of computing power in a virtualized environment. Providing secure services is essential. There are several problems to real-world optimization that are dynamic which means they tend to change over time. For these types of issues, the goal is not always to identify one optimum but to keep continuously adapting to the solution according to the change in the environment. The problem of scheduling in Cloud where new tasks keep coming over time is unique in terms of dynamic optimization problems. Until now, there has been a large majority of research made on the application of various Evolutionary Algorithms (EAs) to address the issues of dynamic optimization, with the focus on the maintenance of population diversity to ensure the flexibility for adapting to the changes in the environment. Generally, trust refers to the confidence or assurance in a set of entities that assure the security of data. In this work, a dynamic optimization technique is proposed to find an optimal trust weights in cloud during scheduling.

      • SCIESCOPUSKCI등재

        Genetic Variability in the Fodder Yield, Chemical Composition and Disappearance of Nutrients in Brown Midrib and White Midrib Sorghum Genotypes

        Singh, Sultan,Prasad, S.V.Sai,Katiyar, D.S. Asian Australasian Association of Animal Productio 2003 Animal Bioscience Vol.16 No.9

        Samples of eleven brown midrib (ICSU 96031, ICSU 93046, ICSU 96082, ICSU 96078, ICSU 96075, ICSU 95101, ICSU 96034, ICSU 96063, ICSU 45116, ICSA 93-3 and ICSA 3845 X 3816) and nine white midrib genotypes (ICSU 96050, ICSU 96030, ISU 95082, SSG 59-3, FSHI 93-1, FSHI 2219A X 3211, HC 171, ICSA 93-2 and ICSA 93-1) based on their phenotypic appearance were collected at 50 per cent flowering from the sorghum germplasm grown at Research farm of IGFRI, Jhansi. These genotypes were evaluated with respect to crude protein, fiber composition, in-sacco dry matter, OM, cell wall components disappearance/digestibility besides the fodder yield, total phenolic and availability index values. Brown midrib genotypes were lower (p<0.05) in NDF, ADF, cellulose and acid detergent lignin concentration than white midrib genotypes. Mean NDF, ADF, cellulose and lignin contents were 69.4, 42.1, 35.4 and 5.7% in brown mid rib vis-a vis 75.8, 47.5, 39.6 and 7.3% in white mid rib genotypes. Nonsignificant (p>0.05) differences were observed in dry matter, crude protein and organic matter contents between brown midrib and white midrib genotypes. Phenolic contents were significantly (p<0.05) lower in browm mid rib (0.2) than white mid rib (0.3%) sorghum. Brown midrib genotypes exhibited significantly (p<0.05) higher in-sacco DM, OM and CP disappearance than normal (white midrib) genotypes. The mean degradability of DM, OM and CP was 64.1, 62.6 and 79.6% in brown mid rib and 53.1, 54.0 and 76.6% in white mid rib genotypes, respectively. There were no significant (p>0.05) differences between genotypes in extent of fiber fraction degradability though in-sacco NDF and ADF degradability was more by 5 and 4 units, respectively in brown midrib genotypes vis-a-vis white midrib genotypes. Average fodder yield (green and dry g/plant) and availability index (%) values were significantly (p<0.05) higher for brown midrib (474.2, 129.8 and 80.4) genotypes than white midrib (375.0, 104.8 and 69.2) genotypes. Lignin contents had significant negative correlation with DM, OM, NDF and ADF degradability. The results of the study revealed that brown midrib genotypes are superior not only with regard to chemical entities and disappearance of DM and fiber fractions but also better in respect of fodder yield and availability index values. Thus, brown midrib sorghum strains may be useful in increasing digestibility, intake, feed efficiency and animal performance.

      • SCIESCOPUSKCI등재

        Selection of Plant Growth-Promoting Pseudomonas spp. That Enhanced Productivity of Soybean-Wheat Cropping System in Central India

        ( Sushil K. Sharma ),( Bhavdish Narayan Johri ),( Aketi Ramesh ),( Om Prakash Joshi ),( S. V. Sai Prasad ) 한국미생물 · 생명공학회 2011 Journal of microbiology and biotechnology Vol.21 No.11

        The aim of this investigation was to select effective Pseudomonas sp. strains that can enhance the productivity of soybean-wheat cropping systems in Vertisols of Central India. Out of 13 strains of Pseudomonas species tested in vitro, only five strains displayed plant growth-promoting (PGP) properties. All the strains significantly increased soil enzyme activities, except acid phosphatase, total system productivity, and nutrient uptake in field evaluation; soil nutrient status was not significantly influenced. Available data indicated that six strains were better than the others. Principal component analysis (PCA) coupled cluster analysis of yield and nutrient data separated these strains into five distinct clusters with only two effective strains, GRP3 and HHRE81 in cluster IV. In spite of single cluster formation by strains GRP3 and HHRE81, they were diverse owing to greater intracluster distance (4.42) between each other. These results suggest that the GRP3 and HHRE81 strains may be used to increase the productivity efficiency of soybean-wheat cropping systems in Vertisols of Central India. Moreover, the PCA coupled cluster analysis tool may help in the selection of other such strains.

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