etd AT Indian Institute of Science: Recent submissions
Now showing items 761-780 of 6752
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Low Head Hydraulic Pumping – Design, Simulation, and Field Validation of Ram and Turbine Pump in Indian River Basin
Water energy is essential for economic expansion and human development. Social progress and economic growth depend on meeting water energy needs sustainably. The use of non renewable energy sources for pumping water to ... -
Experimental investigation of syngas combustion using a novel two-stage combustor
In recent years, syngas has gained research interest as the focus shifts from fossil to renewable fuels. Syngas generated from biomass such as wood, agricultural residue, and paper is a promising fuel to achieve net-zero ... -
Modelling, Stabilization Methods and Power Amplification for Power Hardware-in-Loop Simulation with Improved Accuracy
Accurate testing of a device under development, in near to real-life environment, is essential to the rapid growth of emerging technologies such as distributed generation, renewable energy sources, electrical storage, ... -
Wetting and Frictional Properties of Hexagonal Boron Nitride with Atomic-Scale Defects and Roughness
Two-dimensional (2D) materials such as graphene, hexagonal boron nitride (hBN), and molybdenum disulfide (MoS2) have become materials of choice for applications spanning optoelectronics, atomically thin coatings, and ... -
Stochastic Finite Element Modeling of Material and Geometric Uncertainties in Electromagnetics
Design methodologies for RF/Microwave systems require major changes to cope up with the evolution of faster, high data/rate wireless communication systems using 5G and futuristic 6G technologies. The research on Terahertz ... -
Development of High-Performance Piezoelectric Micromachined Transducers for Near Ultrasound
Near-ultrasound refers to sound with frequencies just above the range of human hearing, from about 18 to 40 kHz. This band is rarely used for typical ultrasound applications and is ignored for all except the most demanding ... -
A Learnable Distillation Approach For Model-agnostic Explainability With Multimodal Applications
Deep neural networks are the most widely used examples of sophisticated mapping functions from feature space to class labels. In the recent years, several high impact decisions in domains such as finance, healthcare, law ... -
A Unified Modeling Approach for Design and Performance Improvement of Triple Active Bridge Converter
Triple Active Bridge (TAB) converter is a multi-port DC-DC converter. This converter is an extension of the popular Dual Active Bridge converter. It features desirable traits of the DAB converter, such as high power density, ... -
Smart textiles with Tuneable Architectures for Multifunctional Applications
Innovations in electronics and the rapid developments in communication systems have been unprecedented and made life easier. One such advancement is wireless electronics, where gadgets operate in gigahertz frequencies – ... -
Urolithin-A mitigates synaptic dysfunctions associated with epilepsy through VDAC1 inhibition: A novel therapeutic approach
Urolithin-A mitigates synaptic dysfunctions associated with epilepsy through VDAC1 inhibition: A novel therapeutic approach Epilepsies are a group of neurological disorders with a prevalence of 70 million people worldwide ... -
Structural signatures of relaxation mechanisms in glass forming and devitrifying colloidal suspensions
Connecting macroscopic behavior of matter to the microscopic interactions is the central goal of condensed matter physics. Yet, achieving such a challenging goal in atomic and molecular systems would require tracking all ... -
Coalescence of Polymeric Droplets
Coalescence is an energy minimization phenomenon in which two equilibrium droplets undergo a transition to attain a final equilibrium state, i.e., a coalesced state. Coalescence begins with a point contact between the ... -
Characterization of Interconnections in Smart-X Applications
Smart-X applications are realized by interconnecting several objects to achieve real-time capability by improving safety, reliability, and efficiency. These interconnections can be broadly classified as physical connections ... -
Phonon anomalies in pyrochlores and 2D materials under extreme conditions: Insights from Raman spectroscopic studies
In solids, electrons do not behave as separate particles but instead interact intensely to form quasiparticles, which couple with other quasiparticles such as phonon, plasmon, and exciton to generate emergent quantum ... -
Experimental and Numerical Studies on an Automobile Air Conditioning System with Refrigerants R134a, R1234yf and R1234ze(E)
The HydroFluoroCarbons (HFCs) synthesized as alternatives to ChloroFluoroCarbons (CFCs), though friendly to tratospheric ozone, have high Global Warming Potential (GWP). Despite this, numerous applications currently employ ... -
Characterization of XRN2-mediated microRNA turnover mechanism and its pathophysiological significance in eukaryotes
MicroRNAs (miRNAs) are endogenous, small non-coding RNAs that are extensively involved in the posttranscriptional regulation of gene expression in eukaryotes. Comprehensive studies on miRNA expression and function have ... -
Gaze Estimation in the Wild - Models, Datasets and Usability
Human eye gaze estimation research has numerous applications in diverse fields from Human Computer Interaction (HCI) to aviation. Non-intrusive video oculography based methods are classified into two categories based on ... -
Sub-Newtonian Coalescence in Polymeric Fluids
Droplet coalescence is a thermodynamic equilibration process driven by surface energy minimization. The physics of this phenomenon is characterized by the temporal evolution of a liquid bridge formed upon the proximate ... -
Data-efficient Deep Learning Algorithms for Computer Vision Applications
The performance of any deep learning model depends heavily on the quantity and quality of the available training data. The generalization of the trained deep models improves with the availability of a large number of ... -
Data Driven Stabilization Schemes for Singularly Perturbed Differential Equations
This thesis presents a novel way of leveraging Artificial Neural Network (ANN) to aid conventional numerical techniques for solving Singularly Perturbed Differential Equation (SPDE). SPDEs are challenging to solve with ...