Electrical Engineering (EE): Recent submissions
Now showing items 41-60 of 350
-
A Novel Passive Regenerative Snubber for the Phase-Shifted Full-Bridge Converter: Analysis, Design and Experimental Verification
The development of Wide Bandgap (WBG) devices has enabled power electronic converters to operate at much higher frequencies, voltages and high power. Working at a higher switching frequency minimises the size of magnetics ... -
Generalizing Cross-domain Retrieval Algorithms
Cross-domain retrieval is an important research topic due to its wide range of applications in e-commerce, forensics etc. It addresses the data retrieval problem from a search set, when the query belongs to one domain, and ... -
Influence of Soil's Electrical Parameters on Lightning Stroke-current Evolution and Fields in the Close Range
The lightning return stroke forms one of the severest natural sources of electromagnetic interference for ground-based and airborne systems. Many physical fields are involved in this complex physical phenomenon. Several ... -
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ... -
Deep Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ... -
Spatially Adaptive Regularization for Image Restoration
Image restoration/reconstruction refers to the estimation of an underlying image from measurements generated by imaging devices. This problem is generally ill-posed since the measurements are corrupted by the physical ... -
Techniques for estimating the direction of pointing gestures using depth images in the presence of orientation and distance variations from the depth sensor
A significant part of our daily life is spent interacting with various computing devices, mobile phones, etc. Soon, robots and drones may become common in daily life, as might be virtual reality based interfaces. Currently, ... -
Robust Non-convex Penalties for Solving Sparse Linear Inverse Problems and Applications to Computational Imaging
Sparse linear inverse problems require the solution to the l-0-regularized least-squares cost, which is not computationally tractable. Approximate and computationally tractable solutions are obtained by employing ... -
Plasma catalysis of diesel exhaust using industrial wastes: a study on NOX and THC removal
Air pollution, caused by large scale consumption of fossil fuels such as diesel, has been the leading cause of several adverse environmental effects such as global warming, higher acidity in rainwater, lower yield ... -
Analysis and Enhancement of Stability of Power Systems with Utility-scale Photovoltaic Power Plants
Owing to the negative impact of carbon emissions on environment, power systems are experiencing a paradigm shift in power generation. The fossil fuel-based generators that utilize synchronous machines are increasingly being ... -
Probabilistic source-filter model of speech
The human respiratory system plays a crucial role in breathing and swallow ing. However, it also plays an essential role in speech production, which is unique to humans. Speech production involves expelling air from the ... -
Novel Regularized Image Reconstruction Algorithms for Sparse Photoacoustic Tomography
Among all tissue imaging modalities, photo-acoustic tomography (PAT), has been getting increasing attention in the recent past due to the fact that it has high contrast, high penetrability, and has capability of retrieving ... -
Spectrotemporal Processing of Speech Signals Using the Riesz Transform
Speech signals possess a rich time-varying spectral content, which makes their analysis a challenging signal processing problem. Developing methods for accurate speech analysis has a direct impact on applications such as ... -
Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms
Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ... -
Speaker verification using whispered speech
Like neutral speech, whispered speech is one of the natural modes of speech production, and it is often used by speakers in their day-to-day life. For some people, such as laryngectomees, whispered speech is the only ... -
Degradation Studies on Polymeric Insulators used for EHV and UHV Transmission
High voltage insulators used in overhead power transmission systems are of key im- portance for safe, reliable, and effcient operation of transmission line in transferring huge amount of electrical power. Conventionally, ... -
Multisource Subnetwork Level Transfer in Deep CNNs Using Bank of Weight Filters
The convolutional neural networks (CNNs) have become the most successful models for many pattern recognition problems in the areas of computer vision, speech, text and others. One concern about CNNs has always been their ... -
Stationary diesel exhaust treatment by blending discharge plasma/ozone with industry wastes: a study on abatement of NOx and THC
Increased usage of fossil fuels, especially diesel, has made a large impact on the environment in the form of rise in global temperature, increased acidity in the rain water, decreased yield in vegetation and numerous ... -
Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in different computer vision applications. However, due to inaccuracies in measurement and oversimplification in mathematical ... -
Upper Frequency Bound on Circuit-Based Models for Transformer Windings
The power generation, transmission and utilisation are necessarily being carried out at different voltage levels, and require transformers for performing the voltage level conversions. As a result, transformers form one ...