Electrical Engineering (EE): Recent submissions
Now showing items 41-60 of 412
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Analogies and their use in problem-solving
The thesis deals with the meaning of "analogy" and how it can be extracted and exploited for the following two classes of problems: CLASS 1: How can one transfer the theorems of one domain (in mathematics) to analogous ... -
Hierarchical Data Structures data structures based on quadtrees
In the present thesis, a size-based hierarchical ordering of the codes of the linear quadtree, called the Linear Hierarchical Quadtree (LHQT), is shown to reduce the time spent while exploring the adjacencies, without any ... -
Linear block source coding for binary memoryless sources
Despite the existence of well-defined rate-distortion functions for general binary memoryless sources (BMS), block source coding theory has traditionally been restricted to sources with equiprobable symbols, in which case ... -
S-Nets : Tool for the performance evaluation of hard real-time scheduling algorithms
A new Petri net-based tool is developed for an integrated analysis of schedulability and performance of Hard Real-Time Systems (HRTSs). The existing Deterministic Timed Petri Nets (DTPNs) do not facilitate modeling of ... -
Multimedia Streaming and Proxy Caching
The information technology revolution has led to the explosive growth of the Internet. There is an increased demand for real-time applications like audio/video streaming and videoconferencing. The increase in demand ... -
Neighborhood based algorithms for network problems
This thesis presents novel techniques for designing efficient algorithms to solve various graph problems, with a focus on both sequential and parallel computation models. The key contributions include: An O(dm)O(dm)O(dm) ... -
Lexicalisation of montague semantics: a unified approach to semantic interpretation
This thesis presents the X/LTAG model, a novel framework for semantic representation that integrates the Lexicalized Tree Adjoining Grammar (LTAG) formalism of Arvind Joshi with the possible world semantics of Richard ... -
A New Framework for Reconstructing One-and Multi-Dimensional Signals from Partial Information
This thesis addresses a class of inverse problems in signal and image reconstruction using partial information such as zero crossings, Fourier sign data, extrema, and modulus maxima. The focus is on reconstructing images ... -
Estimating probabilities of rare events in regenerative systems via importance sampling
In the high-speed networks currently being designed, the probability of packet loss required is very low, while the closed-form expressions for these events are usually not available. Therefore, one needs to estimate these ... -
Developmental Studies on Polymeric Nano/Micro Composite Insulation for Various High Voltage Power Applications
The demand for electrical power is increasing day by day necessitating a higher voltage level for power transmission. Also the use of cast resin type dry transformers of compact size for use in confined areas and in certain ... -
Design and Performance Optimization of Power Converters for Energy Storage Systems
Energy shortages and power outages are key concerns today, exacerbated by rising energy demands and the global imperative for clean energy and decarbonization. Energy storage systems (ESS) traditionally address both long-term ... -
Modeling, Analysis and Control of Switched Reluctance Generator
Switched reluctance machines (SRM) are permanent magnet-free and have a simple rotor with no current-carrying conductors. SRM can be operated as a generator and driven by renewable energy resources such as wind, solar-thermal, ... -
Class Incremental Learning Across Diverse Data Paradigms
Class Incremental Learning (CIL) is a fundamental machine learning paradigm that enables models to continuously learn new classes over time, while retaining previously acquired knowledge. Despite significant progress, ... -
Enhancing THC/NOX removal efficiency in diesel exhaust through catalyzing industrial wastes in the presence of electric discharge plasma
The consistent rise in air quality index in various cities has risen a worldwide concern toward the critical situation of air pollution and climate change. Despite the implementation of stringent regulations, the usage of ... -
Self-Supervised Learning Approaches for Content-Factor Extraction from Raw Speech
The rapid expansion of digital data has led to a growing interest in self-supervised learning (SSL) techniques, particularly for speech processing tasks where labeled data is often scarce. SSL enables models to learn ... -
Global Methods for Camera Motion Estimation
This thesis is a contribution towards the problem of Structure-from-Motion (SfM), which has been of interest to the 3D computer vision community for many decades. Structure-from-Motion falls under the class of 3D reconstruction ... -
Investigations on Pulse Width Modulation Techniques for Split-Phase Induction Motor Drives
A split-phase induction motor (SPIM) has two sets of identical three-phase windings. These two sets of windings are separated by 30◦ in space, which are, typically fed by a three-phase voltage source inverter (VSI) each. ... -
Parallel Algorithms for Efficient Utilization of Multiprocessor Architectures for Transient Stability
Computer hardware capabilities have been enormously increasing over the years. Multicore processors, graphic processing units (GPUs), and field programmable gate array (FPGA) accelerators have grown significantly recently. ... -
Fault Creation, Detection and Classification Systems for Modern Power Grids
The power grid is changing with the exponentially growing penetration of inverter-based resources (IBRs). Keeping the power grid stable, reliable, and secure, and delivering quality power has become increasingly important ... -
Infimal convolution approaches for image recovery
The quality of image captured by acquisition devices has increased drastically over the years largely due to a revolution in imaging sensor capability. But, image acquisition under low illumination continues to be a ...