Electrical Engineering (EE)
Recent Submissions
-
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 ... -
Dual-Mode Operation of Grid-tied Inverters: Modeling, Islanding Detection and Transfer of Control
Increased penetration of renewable energy sources like solar and wind is fundamentally altering the power flow dynamics in modern distribution networks. These distributed generations (DG) boost system reliability by enabling ... -
Experimental Investigations on Switching Behavior of Locomotive Traction-grade IGBTs over Wide Operating Conditions
Insulated gate bipolar transistors (IGBTs) are the dominant power semiconductor devices in high power applications, such as, locomotive traction and megawatt-level renewable energy systems. Power electronic converters in ... -
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
The recovery of a signal/image from compressed measurements involves formulating an optimization problem and solving it using an efficient algorithm. The optimization objective involves data fidelity, which is responsible ... -
Plasma activated/assisted solid wastes in diesel exhaust treatment: a case study with agricultural, industrial and composite wastes
The consumption of crude oil is increasing every day particularly in developing countries like India which is the third largest consumer of crude oil in the world, utilizing on an average around 160 million liters per annum ... -
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 ...
RSS 1.0