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Now showing items 3260-3279 of 8412
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Implementation of data distribution and parallelism in HPF
Translation of sequential data-parallel programs to SPMD programs for Distributed Memory Machines requires distribution of data and computation across processors. Many data-parallel languages allow users to express ... -
Implementation Of Database Security Features Using Bit Matrices
(Indian Institute of Science, 2005-02-16)Information security is of utmost concern in a multiuser environment. The importance of security is felt much more with the widespread use of distributed database. Information is by itself a critical resource of an enterprise ... -
Implementing a weak form of memory consistency on a tree-based system
In this thesis, we propose and implement a weak form of memory consistency, called the Release Consistency for the Tree structure (RCT) model. This model exploits the properties of a tree network to yield a programming ... -
Implications in substrate recognition, catalysis and drug-design Structural basis for neutralization of ribosome-inactivating proteins by their monoclonal antibodies
Cryptic elements of proteins are not visible in unbound structures but become apparent in ligand/substrate-bound structures. These binary states of cryptic elements in protein structures can impact important aspects of ... -
Implications of Soluble Diacylglycerol Acyltransferases in Triacylglycerol Biosynthesis in Yeast and Plants
(2018-04-12)Lipids are stored in a cell for providing energy. The main advantages of storing lipids over carbohydrates like glycogen is that, lipids yield more energy after oxidation because they represent the highly reduced form of ... -
Implicit Gradient Reconstruction for Unstructured Mesh Finite Volume Method
In the present work, an Implicit Gradient Reconstruction (IGR) method is proposed in the context of Finite Volume Methodology (FVM). There are three computationally intensive steps involved in a typical finite volume ... -
Implicit Least Squares Kinetic Upwind Method (LSKUM) And Implicit LSKUM Based On Entropy Variables (q-LSKUM)
(Indian Institute of Science, 2006-10-12)With increasing demand for computational solutions of fluid dynamical problems, researchers around the world are working on the development of highly robust numerical schemes capable of solving flow problems around complex ... -
Importance of formylation in eubacterial translation initiation
Initiation of protein synthesis in all organisms occurs with the amino acid methionine. In the case of eubacteria and eukaryotic organelles, methionine is further modified to formylmethionine by the enzyme methionyl?tRNA ... -
An importance sampling in N Sphere Monte Carlo and its performance analysis for high dimensional integration
Statistical methods for estimating integrals are indispensable when the number of dimensions (parameters) become greater than ~ 10, where numerical methods are unviable in general. Well-known statistical methods like ... -
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ... -
Improved Algorithms for Variants of Bin Packing and Knapsack
We study variants of two classical optimization problems: Bin Packing and Knapsack. Both bin packing and knapsack fall under the regime of "Packing and Covering Problems". In bin packing, we are given a set of input items, ... -
Improved approximation bounds on maximum edge q coloring of dense graphs
The anti-Ramsey number ar(G,H) with input graph G and pattern graph H, is the maximum positive integer k such that there exists an edge coloring of G using k colors, in which there are no rainbow subgraphs isomorphic to ... -
Improved Derivative-based Regularizations for Imaging Inverse problems
Images undergo degradation during the capturing process due to physical limitations inherent to the capturing devices. Addressing this degradation and recovering high-quality images constitute the image recovery problem, ... -
Improved Generative Models for Zero-shot object recognition
Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ... -
Improved GMM-Based Classification Of Music Instrument Sounds
(2009-03-19)This thesis concerns with the recognition of music instruments from isolated notes. Music instrument recognition is a relatively nascent problem fast gaining importance not only because of the academic value the problem ... -
Improved laboratory and computational models for thermal core–mantle interaction
The Earth's magnetic field is generated by thermochemical convection within its fluid outer core. The near-stationary high-latitude magnetic flux concentrations in the present day field indicate that convective ... -
An Improved Lower Bound for Depth four Arithmetic Circuits
(2018-05-29)We study the problem of proving lower bounds for depth four arithmetic circuits. Depth four circuits have been receiving much attraction when it comes to recent circuit lower bound results, as a result of the series of ...