etd AT Indian Institute of Science: Recent submissions
Now showing items 1001-1020 of 6570
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Studies on modeling the mechanics of slender elastic ribbons
Ribbons are slender structures characterized by three disparate geometric dimensions: length >> width >> thickness. Such a dimensional disparity enables ribbons to bend, buckle, twist and crease response to simple loading ... -
Understanding the vertical structure of galactic stellar disc and the role of interstellar gas and dark matter halo
The aim of this thesis is to understand the dynamical effect of interstellar gas and dark matter halo on the vertical distribution of stars in our Galaxy as well as modeling the stellar distribution in a generalized and ... -
Molecular simulation of thermal conductivity in DNA and phonon dispersion in layered materials
Heat conduction plays a key role and is linked to the underneath lattice structure. The heat transfer in soft matter materials like DNA and polymers is seldom understood and is deeply linked to the geometry and functional ... -
A Platform for Handheld Ultrafast PCR
The Polymerase Chain Reaction (PCR) is one of the most sensitive and specific diagnostic tools available today. Yet, it stands out of reach for many vulnerable populations because commercial solutions are expensive, bulky, ... -
Extraction of Creep Parameters from Indentation Creep Experiment: An Artificial Neural Network- Based Approach
Conventional methods for extracting creep properties require conducting several uniaxial tests at different loads, which consumes an intensive amount of material and time. Indentation may minimize the material volume ... -
2-Level Page Tables (2-LPT): A Building Block for Efficient Address Translation in Virtualized Environments
Efficient address translation mechanisms are gaining more and more attention as the virtual address range of the processors keeps expanding and the demand for machine virtualization increases with cloud and data center-based ... -
Deep Convolutional and Generative Networks for Ocean Synoptic Feature Extraction and Super Resolution from Remotely Sensed Images
Accurate extraction of Synoptic Ocean Features and Downscaling of Ocean Features is crucial for climate studies and the operational forecasting of ocean systems. With the advancement of space and sensor technologies, the ... -
Reliability Physics of Thin-Film Transistors
Thin-film transistor technology based on non-crystalline materials forms the workhorse of large area electronics applications including display systems, sensor systems and novel technologies including flexible electronics. ... -
Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks
A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ... -
Manipulating Bacterial and Host Reactive Oxygen Species (ROS)- based mechanisms to potentiate killing of Mycobacterium tuberculosis (Mtb)
Mycobacterium tuberculosis (Mtb) is evolutionarily equipped to resist exogenous reactive oxygen species but shows vulnerability to an increase in endogenous ROS (eROS). Since eROS is an unavoidable consequence of aerobic ... -
Imidazole and NHC-Carbene based Coordination Architectures and Their Applications
Modern-day chemistry demands novel molecular materials having aesthetically pleasing structures along with fascinating chemical and physical properties. New synthetic strategies have been applied for structural modulation ... -
Novel First-order Algorithms for Non-smooth Optimization Problems in Machine Learning
This thesis is devoted to designing efficient optimization algorithms for machine learning (ML) problems where the underlying objective function to be optimized is convex but not necessarily differentiable. Such non-smooth ... -
Understanding the Mechanism of Noncanonical Functions of RAGs in Lymphoid Cancer and Glioblastoma
Recombination activating genes (RAGs) composed of RAG1 and RAG2, are the endonuclease involved in V(D)J recombination, which is critical for adaptive immunity in mammals. Activation-induced cytidine deaminase (AID), expressed ... -
Ground-dwelling arthropods across human land use: Interpreting the spatial and temporal dimensions of beta diversity
This study investigates beta diversity and its partitions to quantify the influence of different processes that drive spatial and temporal variation in ground-dwelling arthropod assemblages. First, ant assemblages across ... -
Study of light-matter interactions in ultra-low noise graphene-based van der Waals hybrid
The vast array of optical and electrical capabilities of graphene (Gr) and analogous two dimensional (2D) van der Waals (vdW) materials have piqued scientists’ interest for long. Stacking these materials to form hybrid ... -
Efficient Hardware Architectures for Error Correcting Codes Applicable to Data Storage
Error correcting codes (ECCs) are essential to transmission and data storage sys-tems to protect the information from errors introduced by noisy communication channels. There are two main classes of ECCs, namely algebraic ... -
Constructing transition metal-based heterostructure nanomaterials for electrocatalysis
Storing renewable energy into chemical bonds like hydrogen as a carbon-neutral energy carrier to deliver the energy demands is gaining attention. However, the popular hydrogen production route by water electrolysis involves ... -
Reinforcement Learning Algorithms for Off-Policy, Multi-Agent Learning and Applications to Smart Grids
Reinforcement Learning (RL) algorithms are a popular class of algorithms for training an agent to learn desired behavior through interaction with an environment whose dynamics is unknown to the agent. RL algorithms ... -
Integrated Wastewater Management for Tank Restoration in Urban Fringe Areas
Urban fringe water bodies are often seriously affected by urban wastewater including partially treated sewage entering it and degrading it. Sustainability requirements necessitate that such wastewaters are treated and ... -
Learning Non-linear Mappings from Data with Applications to Priority-based Clustering, Prediction, and Detection
With the volume of data generated in today's internet-of-things, learning algorithms to extract and understand the underlying relations between the various attributes of data have gained momentum. This thesis is focused ...