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Absorptive Capacity, Cluster Level Interactions, Innovation and Performance of Firms in the High-tech Manufacturing Cluster of Bengaluru
Researchers have identified absorptive capacity, which is a measure of dynamic capability of a firm, as one of the critical factors that drives interactions of a firm with other firms and associated institutions within and ... -
Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud
Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ... -
Accelerated and Accurate Alignment of Short Reads in High Throughput Next Generation Sequencing [NGS] Platforms
The genome of an organism encompasses the unique set of genetic instructions for every individual in a species. The genome, in totality, guides the course of evolution, development, genetic and epigenetic growth factors ... -
Accelerated search for thermoelectric and topological materials using first-principles and machine learning
In summary, we have performed first-principles calculations to study the topological phase transitions in chalcopyrite compounds as a function of hydrostatic pressure. These compounds are topological insulators in the ... -
Accelerated Search of Catalysts Using Density Functional Theory and Machine Learning
The need for clean and renewable energy resources has propelled the interest in designing new catalysts producing energy from renewable resources and alternate cleaner fuels such as hydrogen, methane, ammonia, ethylene, ... -
Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs
X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ... -
An Accelerator for Machine Learning Based Classifiers
Artificial Neural Networks (ANNs) are algorithmic techniques that simulate biological neural systems. Typical realization of ANNs are software solutions using High Level Languages (HLLs) such as C, C++, etc. Such solutions ... -
Access Path Based Dataflow Analysis For Sequential And Concurrent Programs
(2016-09-14)In this thesis, we have developed a flow-sensitive data flow analysis framework for value set analyses for Java-like languages. Our analysis frame work is based on access paths—a variable followed by zero or more field ... -
Accurate and Efficient Algorithms for Star Sensor Based Micro-Satellite Attitude and Attitude Rate Estimation
(2018-04-18)This dissertation addresses novel techniques in determining gyroless micro-satellite attitude and attitude rate. The main objective of this thesis is to explore the possibility of using commercially available low cost ... -
Accurate Computational Algorithms For Hyperbolic Conservation Laws
(2010-10-08)The numerics of hyperbolic conservation laws, e.g., the Euler equations of gas dynamics, shallow water equations and MHD equations, is non-trivial due to the convective terms being highly non-linear and equations being ... -
Accurate Estimation of Frequency and Phasor for Wide Area Monitoring and Control
Traditionally, monitoring and control functions in large power systems were based on measurements obtained locally. While small disturbances have their impact con ned locally to the area of disturbance, large disturbances ... -
Accurate Prediction of Enhancement Factors for Water Flow Through Boron Nitride Nanotubes
Water in nanoconfined spaces, such as nanotubes, exhibit anomalous yet intriguing behaviour compared to bulk water, a better understanding of which can enable us to realize a sustainable future. Nanotubes are atomically ... -
ACE-Model: A Conceptual Evolutionary Model For Evolutionary Computation And Artificial Life
(Indian Institute of Science, 2005-02-07)Darwinian Evolutionary system - a system satisfying the abstract conditions: reproduction with heritable variation, in a finite world, giving rise to Natural Selection encompasses a complex and subtle system of interrelated ... -
Achieving Efficiency and Specificity in Multifarious Systems for Anti-cancer Gene Therapeutics
The research work described in this thesis encompasses the syntheses, characterization and bioactivity determination of various novel systems crafted for achieving high efficacy and targeted gene therapeutic effect in ... -
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
The classical Stochastic Multi-armed Bandit (MAB) problem provides an abstraction for many real-world decision making problems such as sponsored-search auctions, crowd-sourcing, wireless communication, etc. In this work, ... -
Achieving practical secure non-volatile memory system with in-Memory Integrity Verification (iMIV)
Recent commercialization of Non-Volatile Memory (NVM) technology in the form of Intel Optane enables programmers to write recoverable programs. However, the data on NVM is susceptible to a plethora of data remanence attacks, ... -
Acoustic Signals, Mate Choice And Mate Sampling Strategies in a Field Cricket
(2017-10-05)Acoustic communication in orthopterans and anurans provides a suitable model system for studying the evolutionary mechanisms of sexual selection mainly because males use acoustic signals to attract females over long distances ... -
Acoustic Source Characterization Of The Exhaust And Intake Systems Of I.C. Engines
(2010-07-15)For an engine running at a constant speed, both exhaust and intake processes are periodic in nature. This inspires the muffler designer to go for the much easier and faster frequency domain modeling. But analogous to ... -
Acoustic Source Localization Using Time Delay Estimation
(2009-08-19)The angular location of an acoustic source can be estimated by measuring an acoustic direction of incidence based solely on the noise produced by the source. Methods for determining the direction of incidence based on sound ...