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Vijaya Saradhi.T,Kodukula Subrahmanyam,Debnath Bhattacharyya,Tai-hoon Kim 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.8
A skyline of a n-dimensional data contains the data objects that are not dominated by any other data object on all dimensions. However, as the number of data dimensions increases the probability of domination points become very low, accordingly the number of points in the skyline becomes large. Also skyline search space has been identified as the key problem in real-time multidimensional databases. None of the traditional search techniques include the use of dimensionality reduction to optimize the search space. Skyline query computation on the server consecutively reduces the amount of data transferred between the server sites. Traditional static lower bound and upper bound probability computation will increase the number of non-dominance points. In this proposed work, an optimized skyline boundary detection algorithm is used to filter the skyline objects and pruning the local probability. Also, global probability computation was improved on the large skyline databases in order to minimize the search space and storage .The experimental results show that the efficiency of the proposed approach compared to traditional static skyline bound techniques in terms of time and search space are concerned.
Applying Z-Curve Technique to Compute Skyline Set in Multi Criteria Decision Making System
T. Vijaya Saradhi,Kodukula Subrahmanyam,P. Venkateswara Rao,Hye-jin Kim 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
The skyline queries are the best tools to be used in distributed multi criteria decision making of web based applications for user commendations. However, as the Data dimensions are increasing size of dominance set and skyline set is also increasing. Increasing dimensionality becomes the major problem with real word databases. In skyline computation major cost depends on finding dominance tests between high dimensional objects and the order in which they are accessing. Space filling Z-curve is the best suitable way to address the challenges in skyline computation. In this proposed work, we incorporated Z-curve with optimized skyline boundary detection algorithm to effective access and early pruning. In this paper efficient hybrid index structure was proposed which takes the advantage of sorting and partition approaches to improve the storage and search efficiency. Experimental results show that our propose approach is better than the previous static skyline computation techniques in terms of searching and finding skyline set.
( Venugopalan vijayalatha ),( Subhash K Tripathi ),( Pradip Nahar ),( P Pardha Saradhi ),( Rakha H Das ),( Hemant K Gautam ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.2
Canthaxanthin (cx) is a potent antioxidant that is chemically synthesized at the industrial scale and has imperative applications in the cosmetic and feed industries. An orange pigmented mesophilic bacterium, designated as K44, was isolated from soil samples of Kargil, India. Biochemical tests, 16S rRNA gene sequencing, and FAME analysis of the bacterium indicated it to belong in the genus Dietzia and is distinct from human isolates. The strain showed 98% 16S rRNA gene sequence homology with Dietzia maris DSM 43102. High-performance liquid chromatography profile of the pigments isolated from K44 showed two major peaks absorbing at 465.3 and 475 nm. The liquid chromatography-mass spectrometry (LC-MS) analysis of both these peaks revealed their m/z to be 564. The molecular weights, LC-MS/MS fragmentation patterns, and λ max of these fractions corresponded to all-trans- (475 nm) and 9-cis-(465.3 nm) cx isomers. The antioxidant activities of cis- and trans-cx isomers isolated from this bacterium were found to differ, where the cis-isomer showed higher free radical, superoxide radical, and reactive oxygen species scavenging activities than the alltrans- isomer, suggesting that 9-cis-cx is more effective as an antioxidant than the all-trans-cx.
Srinivasa Reddy Ronda,Pavani Lakhsmi Chandrika Parupudi,Sandeep Vemula,Santhosh Tumma,Mahendran Botlagunta,Vijaya Saradhi Settaluri,Smita Lele,Suraj Sharma,Chari Kandala 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.10
This work describes the medium optimization of γ-Linolenic acid (GLA) production by Spirulina platensisusing one-factor and orthogonal array design methods. In the one-factor experiments, NaHCO3 (9 mg L−1), NaNO3(13.5 mg L−1) and MgSO4·7H2O (11.85 mg L−1) proved to be the best components for GLA production. The optimalpH for GLA production by the alga was 9.2. Based on the delta values, NaHCO3 showed the greatest effect on the GLAproduction of the various factors tested, followed in decreasing order by MgSO4·7H2O, NaNO3 and K2SO4. The max-imum GLA yield obtained was 19.2 mgL−1in the presence of optimum concentrations of NaHCO3 (20 g L−1), NaNO3(3 g L−1), MgSO4·7H2O (0.5 g L−1) and K2SO4 (1.5 g L−1). Because of the slow growth rate of the algae, the practiceof robust orthogonal array methods during the optimization of medium components can result in the production of anoptimal biomass and a higher GLA yield for nutraceutical applications.