Division of Interdisciplinary Research
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Assessment of factors influencing production and marketing of groundnut and sunflower in Peninsular India
The demand for edible oil is increasing at an annual rate of 6 per cent suggesting that the productivity of oilseeds needs to be substantially increased in order to bridge the demand-supply gap. So, there is a need to step ... -
Prediction of bond ratings using statistical and neural networks techniques
Are the performances of these models good enough to be used as bond rating tools? Apparently classification range 51% to 58.7% is definitely improvable figures. One of the reasons for limited success could be that, these ... -
Acquisition of technological capability and economic performance in clusters : a study of Belgaum and Coimbatore small scale foundries
Promotion of small-scale industries (SSIs) has been given a lot of importance in developing countries because of the many virtues small industries have, such as, the potential to generate employment, nurturing of ... -
Testing arbitrage pricing theory for the Indian market
This is the first large scale direct validation of the Arbitrage Pricing Theory for Indian markets. The number of stocks considered is approximately four times the number of stocks considered in the Sood [1995] study. While ... -
Evaluation of policy parameters, uncertainties and risks in build, operate and transfer (BOT) projects for transport infrastructure development
There is a growing recognition that inadequate transport infrastructure in any country is an impediment to its industrial and economic progress. Governments worldwide are increasingly attempting to involve the private ... -
Construction of market index, efficient portfolios and a test for capital market efficiency
Individual investors in the capital market often wish to hold portfolios that "follow the market" but consist of only a small number of scrips. This study addresses the problem of designing a compact portfolio of scrips ... -
A Study of an R&D team in an Indian research organization : an ethnographic approach
The research reported in this thesis has attempted to provide a suggestive ethnographic case study of an R&D team in a government-sponsored power research institute in Southern India. This case study has tried to demonstrate ... -
Development of Novel Deep Learning Models for Quantitative Medical Image Analysis
Medical imaging provides a non-invasive way to visualize tissues and diseases, enabling both qualitative and quantitative assessments that are needed in diagnosing and monitoring a wide range of conditions. Modalities ... -
Efficient parallel algorithms to compute A sub-complex of the weighted delaunay triangulation for molecular data
In the field of bio-molecules, it is utmost important to study the behaviour of a molecule while interacting with another. This interaction decides the functionality of the molecule. It is widely accepted fact that the ... -
Dynamic hybrid partitioned non partitioned queue configurations based on workloads in supercomputer systems
Supercomputers rely on batch queues to manage parallel job execution, with commercial schedulers offering configurable parameters that influence job routing, execution order, and queue visitation. However, selecting an ... -
Some Algebraic Aspects Of Graph Similarity Algorithms
We proposed singular values-based sensitivity analysis and self-similarity studies to compare graph-isomorphism algorithms. SimRank method is found to be an application of power method and is not sensitive to noise in any ... -
Efficient quantum dynamics simulations for periodic potentials
Quantum algorithms are designed to efficiently solve many problems that are thought to be difficult classically. A specific case is the efficient simulation of time evolution of quantum systems. This work provides a ... -
Scalable Distributed Frameworks for Temporal Analysis and Partitioning of Streaming Graphs
The analysis of graph-structured data has become increasingly important as networks in various domains, including science, engineering, and business, grow in size, complexity, and dynamism. While static graph analysis ... -
System virtualization in the multi-core era-a Q0S perspective
The emergence of multi-core servers and the growing need for green computing have led to the resurgence of system virtualization. System virtualization has re-emerged as a solution to many critical challenges faced by ... -
Exploring the Semantics of Plan Diagrams
Database Management Systems (DBMS) are popular software packages for storing and managing enterprise data. Modern DBMS typically store data in the form of tables, called relations, and query the information using the ... -
Robust Speaker Identification System
Recent advances in research and development in speaker recognition and identification systems have made speaker identification one of the most trusted methods for authorization and forensic applications. However, field ... -
Extending a grid resource management architecture for managing data and computation for parallel applications
Grid Resource Procedure Call (GridRPC) systems have been used to solve parallel applications over Grid resources using simple sequential interfaces. In these systems, sequential data from the user is segmented according ... -
On the effectiveness of exploiting instruction level reuse in superscalar microprocessor : Power-performance prespective
Modern microprocessors exploit Instruction Level Parallelism (ILP) by employing substantial on-chip resources and incorporating microarchitectural features that exploit properties of programs. Among program attributes, ... -
Extending architectural support for imposing early and local cache coherence in distributed shared-memory multiprocessors
Designing cost-efficient cache coherence protocols has long been pursued in the context of Distributed Shared-memory Multiprocessors (DSM). With increasingly aggressive implementations of DSM systems that use high-performance ... -
Speculative trace scheduling of binary translated code in vliw processors
Very Long Instruction Word (VLIW) processors are well known for their high compute capacity and simple hardware. Because of these properties, these processors are very popular in the embedded processing domain. With the ...
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