Electrical Engineering (EE)
Recent Submissions
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Frequent Episode Mining: Efficient Discovery Algorithms and Significance Analysis
Frequent Pattern mining is a popular area of data mining, where the goal is to unearth interesting patterns that occur often in a given data. A pattern is a local structure that captures correlations and dependencies present ... -
Estimation of flashovers in the EHV/UHV lines on the east coast due to lightning produced by the Bay of Bengal cyclones
Electric Power is imperative for the modern world. The quality and reliability of the power supply can be impaired by several factors. Lightning is one such natural threat that disrupts the continuity of supply and can ... -
Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ... -
Developmental Studies on a Multistage Induction Coilgun-Based Electromagnetic Launcher
The archetypal chemical propellant-based launchers (e.g., guns, missiles, spacecraft launchers, etc.) with their hot trailing plume (hence, known as the “hot-launching system”) has been widely deployed over the decades by ... -
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 ... -
Reduced Electrolytic Capacitor Based Single-Phase Converters: Topologies, Control, and Stability
Single-phase converters (SPC) find wide applications in different domestic and industrial appliances, ranging from a few hundred Watts to a few Megawatts. Second-harmonic ripple filtering is a critical issue in SPCs, for ... -
Improved Derivative-based Regularizations for Imaging Inverse problems
Images undergo degradation during the capturing process due to physical limitations inherent to the capturing devices. Addressing this degradation and recovering high-quality images constitute the image recovery problem, ... -
Pulse Width Modulation Techniques of Two-level Inverter Fed Asymmetrical Six-phase Machine Drive in Linear and Overmodulation Regions
Multi-phase machines (MPMs) have more than three windings in their stator, rotor, or both. With the broader adoption of power-electronic converters for efficient driving of the machines, MPMs are gaining attention in ... -
Graph Clustering Approaches for Speaker Diarization of Conversational Speech
In this era of advanced machine intelligence, real-world speech applications need to be equipped to deal with conversations involving multiple speakers. An essential first step in speech information extraction from ... -
Resource-Aware State-Triggered Networked Control Systems
State-triggered control is a popular control method in the field of networked control systems owing to its advantage of efficient utilization of resources while simultaneously achieving control objectives. In this control ... -
Studies on EEG correlates of non-ordinary states of consciousness and slow-paced breathing
Studies on the non-ordinary states of consciousness (NSCs) induced by meditation, hypnosis, trance, and slow-paced breathing are gaining visibility due to their potential efficacy in treating various clinical conditions. ... -
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ... -
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Automatic speech recognition (ASR) based technologies are radically changing the way we interact with digital services and information. Most of these application leverage on hands-free speech, where talkers are able to ... -
Supervised Learning Approaches for Language and Speaker Recognition
In the age of artificial intelligence, it is important for machines to figure out who is speaking automatically and in what language - a task humans are naturally capable of. Developing algorithms that automatically infer ... -
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ... -
Modeling of Lightning Attachment to Aircraft and a Novel Methodology to Quantify Strike Rate
Air transport plays a vital role in global economic growth and long-distance commutation. The aviation industry is found to double its fleet size every fifteen years. According to Air Transport Action Group (ATAG), 45 ... -
Modelling, Stabilization Methods and Power Amplification for Power Hardware-in-Loop Simulation with Improved Accuracy
Accurate testing of a device under development, in near to real-life environment, is essential to the rapid growth of emerging technologies such as distributed generation, renewable energy sources, electrical storage, ... -
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 ... -
A Unified Modeling Approach for Design and Performance Improvement of Triple Active Bridge Converter
Triple Active Bridge (TAB) converter is a multi-port DC-DC converter. This converter is an extension of the popular Dual Active Bridge converter. It features desirable traits of the DAB converter, such as high power density, ... -
Fast and Compact Voltage Equalizer for Satellite Applications
Lithium-ion batteries have now become an essential constituent of the Electrical Power System of solar-powered satellites due to their high energy density, wider operating temperature range , and better radiation tolerance. ...