etd AT Indian Institute of Science: Recent submissions
Now showing items 261-280 of 6754
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Mechanistic Investigation and Engineering of a Membrane-Bound Hydrocarbon-Producing Metalloenzyme
The pursuit of sustainable and environmentally friendly fuels, such as biofuels, is gaining attention as an alternative to diminishing fossil fuel resources. Consequently, there is a significant focus on the sustainable ... -
A Class of Vector Fields for Path Following Guidance
With rapidly evolving application scenarios, Unmanned Aerial Vehicles (UAVs) are often desired to autonomously follow predefined paths. Prospective path following guidance methods should cater to the dynamic capability of ... -
Experimental Investigations on Switching Behavior of Locomotive Traction-grade IGBTs over Wide Operating Conditions
Insulated gate bipolar transistors (IGBTs) are the dominant power semiconductor devices in high power applications, such as, locomotive traction and megawatt-level renewable energy systems. Power electronic converters in ... -
Food and Nutritional Status: Overall Assessment and COVID-19 Studies
Malnutrition remains a global health concern, especially in India with high child mortality rates. While some studies examine nutrient inadequacy in a child’s diets, a lack of comprehensive assessment of underlying ecosystem ... -
Deciphering the role of spermidine in Salmonella Typhimurium pathogenesis
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a Gram-negative, facultative anaerobic bacterium. It infects a broad range of hosts, causing symptoms such as gastroenteritis, abdominal pain, inflammatory diarrhoea ... -
Scalable Video Data Management and Visual Querying System for Autonomous Camera Networks
Video data has been historically known for its unstructured nature, rich semantic content and scalability issues in terms of storage. With advances in computer vision and Deep Neural Net works (DNNs) it is now possible ... -
Analysis, Design, and Acceleration of DNN Training Preprocessing Pipelines
The performance of deep neural network (DNN) training is a function of both the training compute latency and the latency to fetch and preprocess the input data needed to train the model. With advance- ments in GPUs and ... -
Exploring Hyperbranched Polymers as Multifunctional Scaffolds
Hyperbranched polymers (HBPs) are highly branched macromolecules that exhibit excellent solubility, low melt viscosity, and they possess a multitude of modifiable peripheral functional groups.1 Unlike their structurally ... -
Deciphering the evolutionary ecology of snake venoms and its impact on snakebite therapy in India
Venom, being an adaptive trait, has propelled the expansion of snake lineages across diverse habitats, such as the biogeographically distinct Indian landscapes. Natural selection optimises the potency, composition and ... -
Investigation into flux-coupled electromechanical devices
Cavity optomechanical systems involve modulation of the resonance frequency of an optical cavity by the motion of a mechanical resonator. These systems are used to control and manipulate mechanical motion down to the quantum ... -
On two complex Hessian equations and convergence of corresponding flows
This thesis consists of three parts. Two important complex Hessian equations are studied on certain compact K\"ahler manifolds from different perspectives. The first one is the {\em J-equation} introduced independently by ... -
Investigating the role of moisture in vernacular and conventional building typologies for occupant comfort and health
Moisture is omnipresent and critical to sustain life on the planet. In buildings, it is observed in the form of indoor moisture, dampness on walls, seepages, etc. As building occupants, humans perceive moisture in the air ... -
Efficient and Effective Algorithms for Improving the Robustness of Deep Neural Networks
Deep Neural Networks achieve near-human performance on several benchmark datasets, yet they are not as robust as humans. Their success relies on the proximity of test samples to the distribution of training data, resulting ... -
Modeling physiological transport at scales: connecting cells to organs
The physiological system is a complex network in which each organ forms a subsystem, and the functional networks in different subsystems communicate to maintain the body’s overall homeostasis. The ability to simultaneously ... -
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
The recovery of a signal/image from compressed measurements involves formulating an optimization problem and solving it using an efficient algorithm. The optimization objective involves data fidelity, which is responsible ... -
Extraction of Bond Coat Mechanical Properties using High- Temperature Digital Image Correlation
Gas turbine engines used in aircraft or power generation widely use nickel-based superalloys in their hot sections such as combustion chambers, turbine blades, etc. These components in the hot section use thermal barrier ... -
A model-based investigation of the long-term climate and carbon cycle consequences of fossil fuel emissions, land use changes and negative emissions
In this thesis, we investigate the effects of anthropogenic perturbations such as fossil fuel emissions, deforestation, afforestation and negative emissions on the long-term climate and carbon cycle using simulations from ... -
A Neural Network Approach to Modelling Hawkes Processes for Financial Applications
In 1971, Alan Hawkes introduced a set of stochastic point processes characterized by the unique feature that the incidence of an event heightened the likelihood of subsequent events, leading to the clustering of events. ... -
A scalable asynchronous discontinuous Galerkin method for massively parallel flow simulations
Accurate simulations of turbulent flows are crucial for understanding numerous complex phenomena in engineered systems and natural processes. Notably, under realistic conditions with high Reynolds numbers and complex ...