Electrical Engineering (EE): Recent submissions
Now showing items 1-20 of 376
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Decentralized optimization with appliation to flow control
Decentralized computation is considered an important design goal of large systems. This may be to increase the reliability of the system or to reduce the computation time, and in some situations, it is a necessity. ... -
Fault tolerant trasputer based firmware for parallel solution of partial differntial equations by the boundry element method
This work presents a fault-tolerant multi-transputer architecture capable of handling single-node failures without interrupting program execution. The system dynamically reconfigures the interconnections among transputers ... -
Diagnostic Reasoning with Surface and Deep Level Knowledge in Medical Domain
The aim of this work is to structure the domain knowledge based upon some conceptual models so that the knowledge can be efficiently used for diagnostic reasoning in medical domain. Medical domain is complex and incompletely ... -
Solution of algebraic riccati equations on wavefront array processors
The need for high performance computers has been felt for some time in application areas such as on-line control, system identification and estimation in real-time, complex control system design, etc. Parallel computers ... -
Analogies and their use in problem-solving
In this chapter, we review: 1. The role of analogies in human problem-solving 2. Some problem-solving methods in Artificial Intelligence (AI) 3. The literature on analogies We also describe the present work and the motivation ... -
Linear block source coding for binary memoryless sources
Traditional block source coding theory has primarily focused on binary memoryless sources (BMS) with equiprobable symbols, where cosets of the source-encoding standard array are equally likely. This thesis introduces a ... -
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) ... -
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 ... -
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 ...