Browsing Electrical Engineering (EE) by Title
Now showing items 206-225 of 448
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Intelligent techniques for fault location in distribution systems using artificial neural networks
Power Distribution System forms a vital part of any Electric Power System. It acts as a final power delivery stage to the consumers. Hence, its study is important for the development of an efficient and reliable Power ... -
Intelligent Techniques for Monitoring of Integrated Power Systems
(2018-02-10)Continued increase in system load leading to a reduction in operating margins, as well as the tendency to move towards a deregulated grid with renewable energy sources has increased the vulnerability of the grid to blackouts. ... -
Interpolation of Digital Elevation Models using Generative Adversarial Networks
A digital elevation model (DEM) is a three-dimensional representation of elevation data of a terrain such as a terrestrial terrain acquired by a reconnaissance aircraft or a lunar terrain acquired using a Chandrayaan rover. ... -
Investigating Neural Mechanisms of Word Learning and Speech Perception
Language learning and speech perception are remarkable feats performed by the human brain, involving complex neural mechanisms that allow us to understand and communicate with one another. Unravelling the mysteries of these ... -
Investigation of LDPC codes for distributed source coding of nonuniform sources
Wireless sensor networks are widely used nowadays in a variety of applications such as security, surveillance, industrial, and civilian applications. In wireless sensor networks, the individual nodes are spatially separated ... -
Investigation on architectural elements of network processors
Increasing network speeds have placed enormous burden on the processing requirements, and the processors are expected to carry out a variety of tasks. Network Processors (NP) is the blanket name given to the processors ... -
Investigation on Direct Lightning Strike to High Voltage Transmission Lines
Lightning continues to be the single largest natural cause of line outages. With high voltage lines spanning millions of kilometres around the globe, it has been a serious concern to transmission line engineers. Quite ... -
Investigations On Lightning Surge Response Of Isolated Down Conductors
(2008-11-04)Lightning is a natural phenomenon involving transient high current discharge in the atmosphere. Cloud-to-ground lightning, wherein the discharge occurs between the cloud and the ground is quite hazardous to systems on the ... -
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. ... -
Investigations on the Corona Degradation of Polymeric Insulating Samples
Insulators play an important role in the reliability and safe operation of EHV/UHV transmission lines. Recently several utilities in the country and elsewhere are using polymeric insulators for the high voltage transmission ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
L2-stability analysis of feedback systems via positive operator theory Thesis submitted for the Degree of Doctor of Philosophy in the faculty of Engineering
This investigation is concerned with developing L2L_2L2?-stability criteria for deterministic continuous?time dynamical systems consisting of a cascade of operators in L2L_2L2?, in a single negative?feedback loop. The ... -
Learing automata algorithms for connectionist systems local and global convergence
Connectionist systems have been studied with much interest as models for the brain and also as systems which work in a parallel and distributed manner. These systems exhibit desirable properties such as learning capability ... -
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 ...