Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2022"
Now showing items 41-60 of 82
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Inducing Constraints in Paraphrase Generation and Consistency in Paraphrase Detection
Deep learning models typically require a large volume of data. Manual curation of datasets is time-consuming and limited by imagination. As a result, natural language generation (NLG) has been employed to automate the ... -
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 ... -
Information Rates over Point-to-Point and Multi-user Wireless Channels with Energy and Delay Constraints
In this thesis, we consider communication systems having energy, delay and reliability constraints. We characterize optimal communication rates achievable over these systems. First we consider point-to-point communication ... -
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. ... -
Investigations on Capacitor Size Reduction and PWM Strategy for Multilevel Polygonal Space Vector Structure for Induction Motor Drives
Multilevel voltage source inverter transformed conversion of DC to AC for medium to high power application. With increasing electric power demand, the multilevel converter allows high power density converters for medium ... -
Investigations on Generation of Multilevel 24-Sided Polygonal Voltage Space Vector Structures Without Vector Averaging for Variable Speed Drives
Induction motors are mainly powered by two-level inverters in low-voltage, low-power drive applications. For medium and high voltage applications, a conventional two-level inverter needs high voltage rated switches, ... -
Investigations on Increasing Linear Modulation Range in Hybrid Multilevel Inverter Fed Induction Machine Drives Regardless of Load Power Factor
Nowadays, multilevel inverters (MLIs) have become a promising alternative to the twolevel inverter in medium voltage high-power applications such as motor drives, active power filters, HVDC, electric vehicles, wind, and ... -
Investigations on Polygonal Voltage Space Vector Structure generation with lower order harmonic suppression using switched capacitive filter throughout modulation range for Drive Applications
Multilevel inverters (MLI) are widely used in a host of industrial applications ranging from renewable energy systems, to electric vehicles, to distributed generation. Due to the switching nature of the output voltage, MLI ... -
Learning Invariants for Verification of Programs and Control Systems
Deductive verification techniques in the style of Floyd and Hoare have the potential to give us concise, compositional, and scalable proofs of the correctness of various kinds of software systems like programs and control ... -
Low delay file transmissions over power constrained quasi-static fading channels
The ubiquitous deployment of battery-operated wireless devices has resulted in the need for efficient low latency power allocation schemes. A common phenomenon in wireless transmission systems is congestion, where the ... -
Low Light Image Restoration: Models, Algorithms and Learning with Limited Data
The ability to capture high quality images under low-light conditions is an important feature of most hand-held devices and surveillance cameras. Images captured under such conditions often suffer from multiple distortions ... -
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 ... -
Medium Index Contrast Guided Mode Resonant Structures for Photonic Applications in the Visible-Near Infrared Wavelength Regime
Guided mode resonant (GMR) structures are interesting from the point of view of enhanced light-matter interaction and find applications in sensing, filtering, and miniaturized photonic components. The Guided mode resonance ... -
Model-based Safe Deep Reinforcement Learning and Empirical Analysis of Safety via Attribution
During initial iterations of training in most Reinforcement Learning (RL) algorithms, agents perform a significant number of random exploratory steps, which in the real-world limit the practicality of these algorithms ... -
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, ... -
Multi-Armed Bandits – On Range Searching and On Slowly-varying Non-stationarity
Multi-Armed Bandits (MAB) is a popular framework for modelling sequential decision-making problems under uncertainty. This thesis is a compilation of two independent works on MABs. 1. In the first work, we study a ... -
Multi-connectivity for Urllc and Coexistence with Embb in Time-varying and Fading Channels
Ultra-reliable and low latency communications (URLLC) is a novel use case of 5G. It has challenging requirements like such as low block error rates (BLERs) and stringent latency targets. Multi-connectivity, in which multiple ... -
Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks
A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ... -
Neural Approaches for Natural Language Query Answering over Source Code
During software development, developers need to ensure that the developed code is bug-free and the best coding practices are followed during the code development process. To guarantee this, the developers require answers ... -
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 ...