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Search Results: 1 - 10 of 3556 matches for " Prasad Shiva "
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Studies on the Hall-Heroult aluminum electrowinning process
Prasad, Shiva;
Journal of the Brazilian Chemical Society , 2000, DOI: 10.1590/S0103-50532000000300008
Abstract: studies on the electrolysis of cryolite-alumina melt showed that even the best equipped smelter, functioning at 960 oc, has only 33% energy efficiency. for stable functioning of the smelter at 3% alumina the minimum wt% ratio naf/alf3 was found to be 1.11. the anodes located on down-stream row were found to face more turbulence; raising their level by 4 cm resulted in decreasing the number of burnoffs. a careful selection of potlining material improved the pot life. the stability of the aluminum-bath interface is one of the major factors affecting the current efficiency. an improved cell design has been proposed to achieve the ultimate aluminum-bath interface stability. the proposed cell design should allow a reduction of the cathode-to-anode distance producing a lower voltage and improving the power efficiency.
Studies on the Hall-Heroult aluminum electrowinning process
Prasad Shiva
Journal of the Brazilian Chemical Society , 2000,
Abstract: Studies on the electrolysis of cryolite-alumina melt showed that even the best equipped smelter, functioning at 960 oC, has only 33% energy efficiency. For stable functioning of the smelter at 3% alumina the minimum wt% ratio NaF/AlF3 was found to be 1.11. The anodes located on down-stream row were found to face more turbulence; raising their level by 4 cm resulted in decreasing the number of burnoffs. A careful selection of potlining material improved the pot life. The stability of the aluminum-bath interface is one of the major factors affecting the current efficiency. An improved cell design has been proposed to achieve the ultimate aluminum-bath interface stability. The proposed cell design should allow a reduction of the cathode-to-anode distance producing a lower voltage and improving the power efficiency.
Characteristics of Nanofluids over a Non-Linearly Stretched Sheet under the Influence of Thermal Radiation and Magnetic Field  [PDF]
Shiva Prasad Rayapole, Anand Rao Jakkula
World Journal of Mechanics (WJM) , 2016, DOI: 10.4236/wjm.2016.611032
Abstract: Recent studies carried out in terms of viscous flow and heat transfer of nano-fluids on the non-linear sheets. In this paper, detailed studies to understand the characteristics such as viscous flow and heat transfer of nano-fluids under the influence of thermal radiation and magnetic fields are studied using Keller-Box method. Various governing parameters affecting the viscous flow and heat transfers are drawn based on quantitative results. The raise in temperature affected the velocity to a negative value; however, the same observation was made even for the increasing magnetic field. The impact of radiation parameter is proportional seems to be proportional to temperature and it is observed to be inversely proportional with concentration.
Synthesis, spectral characterization, DNA interaction studies, anthelmintic and antimicrobial activity of transition metal complexes with 3-(2-hydroxybenzylideneamino)-2-methylquinazolin-4(3H)-one and 1,10-phenanthroline
Shiva Prasad K.,Shiva Kumar L.,Melvin Prasad,Jayalakshmi B
Biointerface Research in Applied Chemistry , 2011,
Abstract: Mixed ligand complexes of cobalt(II) (1), copper(II) (2) and oxovanadium(IV) (3) with 3-(2-hydroxy benzylideneamino)-2-methylquinazolin-4(3H)-one and 1,10-phenanthroline have been synthesized and characterized by elemental analyses, IR, electronic, 1H-NMR, mass spectra, molar conductance and thermal studies. The synthesized compounds were screened for their in vitro antimicrobial activity. The results show a significant increase in antimicrobial activity of the complexes compared to ligand. Antihelmintic activity of the compounds has been tested on earthworms and the enhanced activity was observed upon complexation. In addition, DNA binding and DNA cleavage studies for the newly prepared compounds were also studied. These studies indicate that the DNA binding and cleavage efficacy were increased in the complexes relative to the parental ligand.
Electrometric studies on uranyl molybdates as a function of pH
PRASAD, Shiva;BARROS, Jaqueline Viana;
Eclética Química , 1998, DOI: 10.1590/S0100-46701998000100005
Abstract: the formation and composition of uranyl molybdates obtained by the interaction of uranyl acetate and sodium molybdate at specific ph levels 7.6, 5.5 and 4.1 have been studied by employing electrometric techniques involving ph and conductometric titrations. the results provide cogent evidence for the formation of three uranyl molybdates having the molecular formulae uo2o.moo3, 3uo2o.7moo3 and 2uo2o.8moo3 in the vicinity of ph 5.7, 4.6 and 3.8, respectively. analytical investigations of the compounds have also been carried out which substantiate the results of electrometric study.
Engineering Students Perception of Professor Role as a Leader: An Empirical Study
Shiva Prasad H.C
Lecture Notes in Engineering and Computer Science , 2011,
Abstract:
Dynamic Map and Diffserv Based AR Selection for Handoff in HMIPv6 Networks
Shiva Prasad Kaleru,Damodaram Avula
International Journal of Research In Computer Science , 2013,
Abstract: In HMIPv6 Networks, most of the existing handoff decision mechanisms deal mainly with the selection of Mobility Anchor Point (MAP), ignoring the selection of access router (AR) under each MAP. In this paper, we propose a new mechanism called “Dynamic MAP and Diffserv based ARs selection for Handoff in HMIPv6 networks” and it deals with selecting the MAP as well as ARs. MAP will be selected dynamically by checking load, session mobility ratio (SMR), Binding update cost and Location Rate. After selecting the best MAP, the Diffserv approach is used to select the AR under the MAP, based on its resource availability. The AR is implemented at the edge router of Diffserv. DiffServ can be used to provide low-latency to critical network traffic such as voice or streaming media while providing simple best-effort service to non-critical services such as web traffic or file transfers. By using this mechanism, we can assure that better resource utilization and throughput can be attained during Handoff in HMIPv6 networks.
Spanners for Geometric Intersection Graphs
Martin Furer,Shiva Prasad Kasiviswanathan
Computer Science , 2006,
Abstract: Efficient algorithms are presented for constructing spanners in geometric intersection graphs. For a unit ball graph in R^k, a (1+\epsilon)-spanner is obtained using efficient partitioning of the space into hypercubes and solving bichromatic closest pair problems. The spanner construction has almost equivalent complexity to the construction of Euclidean minimum spanning trees. The results are extended to arbitrary ball graphs with a sub-quadratic running time. For unit ball graphs, the spanners have a small separator decomposition which can be used to obtain efficient algorithms for approximating proximity problems like diameter and distance queries. The results on compressed quadtrees, geometric graph separators, and diameter approximation might be of independent interest.
On the `Semantics' of Differential Privacy: A Bayesian Formulation
Shiva Prasad Kasiviswanathan,Adam Smith
Computer Science , 2008,
Abstract: Differential privacy is a definition of "privacy'" for algorithms that analyze and publish information about statistical databases. It is often claimed that differential privacy provides guarantees against adversaries with arbitrary side information. In this paper, we provide a precise formulation of these guarantees in terms of the inferences drawn by a Bayesian adversary. We show that this formulation is satisfied by both "vanilla" differential privacy as well as a relaxation known as (epsilon,delta)-differential privacy. Our formulation follows the ideas originally due to Dwork and McSherry [Dwork 2006]. This paper is, to our knowledge, the first place such a formulation appears explicitly. The analysis of the relaxed definition is new to this paper, and provides some concrete guidance for setting parameters when using (epsilon,delta)-differential privacy.
Spectral Norm of Random Kernel Matrices with Applications to Privacy
Shiva Prasad Kasiviswanathan,Mark Rudelson
Computer Science , 2015,
Abstract: Kernel methods are an extremely popular set of techniques used for many important machine learning and data analysis applications. In addition to having good practical performances, these methods are supported by a well-developed theory. Kernel methods use an implicit mapping of the input data into a high dimensional feature space defined by a kernel function, i.e., a function returning the inner product between the images of two data points in the feature space. Central to any kernel method is the kernel matrix, which is built by evaluating the kernel function on a given sample dataset. In this paper, we initiate the study of non-asymptotic spectral theory of random kernel matrices. These are n x n random matrices whose (i,j)th entry is obtained by evaluating the kernel function on $x_i$ and $x_j$, where $x_1,...,x_n$ are a set of n independent random high-dimensional vectors. Our main contribution is to obtain tight upper bounds on the spectral norm (largest eigenvalue) of random kernel matrices constructed by commonly used kernel functions based on polynomials and Gaussian radial basis. As an application of these results, we provide lower bounds on the distortion needed for releasing the coefficients of kernel ridge regression under attribute privacy, a general privacy notion which captures a large class of privacy definitions. Kernel ridge regression is standard method for performing non-parametric regression that regularly outperforms traditional regression approaches in various domains. Our privacy distortion lower bounds are the first for any kernel technique, and our analysis assumes realistic scenarios for the input, unlike all previous lower bounds for other release problems which only hold under very restrictive input settings.
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