Electrical Engineering (EE): Recent submissions
Now showing items 21-40 of 345
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Wide Area Measurement Based Cyber-Attack Resilient Breaker Failure Protection Scheme
Breaker Failure Protection(BFP) is a backup protection that comes into action when the primary protection schemes are unable to clear the fault. In power systems, every component has a redundant version to avoid failures. ... -
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. ... -
Data Efficient Domain Generalization
Deep neural networks has brought tremendous success in many areas of computer vision, such as image classification, retrieval, segmentation , etc. However, this success is mostly measured under two conditions namely (1) ... -
Short Circuit and Open Circuit Natural Frequencies of 3-Φ Transformers: Derived Analytical Expressions and its Applications
Frequency Response Analysis (FRA) method is perhaps the most sensitive tool that can detect even the slightest of winding/core movements. High sensitivity, non-invasiveness, non-destructiveness, and on-site capability are ... -
Development of A Reconfigurable Synchronous Machine Emulation Platform
Studying the dynamic behaviour of non-linear complex power systems in a laboratory is very challenging. Early experimental platforms used micro-alternators to emulate the behaviour of fixed steam and hydro turbine models. ... -
Experimental and Theoretical Investigations on High Voltage Polymeric Insulators
High Voltage Ceramic and glass Insulators have been widely used by various transmission and distribution utilities for several decades across the globe. Recently composite or silicone rubber insulators have evolved and ... -
On Plug-and-Play Regularization using Linear Denoisers
The problem of inverting a given measurement model comes up in several computational imaging applications. For example, in CT and MRI, we are required to reconstruct a high-resolution image from incomplete noisy measurements, ... -
Empirical Studies of Load Generation for Data Center Networks
Data center networks form the backbone for modern Internet giants like Google, Facebook, Microsoft, and Amazon. Such networks consist of a layer of a large number of storage and compute servers connected through two or ... -
Characterization and Modelling of Switching Dynamics of SiC MOSFETs
Silicon Carbide MOSFETs (SiC MOSFETs) fall into the class of wide band gap (WBG) power devices. These devices are commercially available in the voltage range of 600-3300V and superior over the state of the art Si insulated ... -
Efficient and Convergent Algorithms for High-Fidelity Hyperspectral Image Fusion
Hyperspectral (HS) imaging refers to acquiring images with hundreds of bands corresponding to different wavelengths of light. HS imaging has a wide range of applications such as remote sensing, industrial inspection, ... -
Non-contact Breathing and Heartbeat signals monitoring using FMCW radar
Non-contact breathing and heartbeat signals monitoring are the tasks of extracting them without contact sensors. It became even more critical in COVID 19, and hence it is crucial to estimate them correctly. FMCW (Frequency ... -
Improved Understanding of Standing Waves in Single Layer Coils and Elegant Methods to Estimate Transformer Winding Parameters
Analyzing the effect of impulse voltages (like lightning, switching) on transformer winding has occupied centerstage in core electrical engineering research for over a century. These investigations gather great significance ... -
Provably Convergent Algorithms for Denoiser-Driven Image Regularization
Some fundamental reconstruction tasks in image processing can be posed as an inverse problem where we are required to invert a given forward model. For example, in deblurring and superresolution, the ground-truth image ... -
Algorithms and Testbed for Synchronous Generator Parameter Estimation
The development of dynamic power system component models became increasingly important in the modern grids dominated by high penetration of renewables because of the increased dependency of planning and operational decisions ... -
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ... -
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 ...