Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 521-540 of 1710
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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 ... -
True Random Number Generators based on Amplified Spontaneous Emission
Low-cost, high-speed quantum random number generators (QRNGs) are imperative to develop in order to have a widespread application in areas ranging from cryptography and stochastic simulations to banking and internet. ... -
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 ... -
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, ... -
Stochastic Finite Element Modeling of Material and Geometric Uncertainties in Electromagnetics
Design methodologies for RF/Microwave systems require major changes to cope up with the evolution of faster, high data/rate wireless communication systems using 5G and futuristic 6G technologies. The research on Terahertz ... -
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, ... -
Characterization of Interconnections in Smart-X Applications
Smart-X applications are realized by interconnecting several objects to achieve real-time capability by improving safety, reliability, and efficiency. These interconnections can be broadly classified as physical connections ... -
Integrated Optic Waveguide Bragg Grating Devices in Silicon-on-Insulator and Their Applications: Design, Analysis and Fabrication
Integrated Waveguide Bragg Gratings are on-chip counterparts of Fiber Bragg Gratings. The working principles are similar, and functionalities could be explained with Coupled Mode Theory. Periodic index contrast required ... -
Improved approximation bounds on maximum edge q coloring of dense graphs
The anti-Ramsey number ar(G,H) with input graph G and pattern graph H, is the maximum positive integer k such that there exists an edge coloring of G using k colors, in which there are no rainbow subgraphs isomorphic to ... -
Stochastic Optimization And Its Application In Reinforcement Learning
Numerous engineering fields, such as transportation systems, manufacturing, communication networks, healthcare, and finance, frequently encounter problems requiring optimization in the presence of uncertainty. Simulation-based ... -
Algorithms for Online Learning in Structured Environments
Online learning deals with the study of making decisions sequentially using information gathered along the way. Typical goals of an online learning agent can be to maximize the reward gained during learning or to identify ... -
High-Level Synthesis of Geant4 Particle Transport Application for FPGA
Geant4 is a software toolkit that simulates particle transport in matter and is widely used in high energy, nuclear, and medical physics applications. The toolkit offers a wide range of physics models and geometry ... -
Investigations on Voltage Control of Stacked DC-link Series Capacitors with a Nine-Level Inverter for an Induction Motor Load
Multilevel Inverters offer several advantages over two-level inverters in applications involving medium voltage and high power levels. A variety of applications are now available for MLI technology, ranging from variable ... -
Design and Development of Implantable Electrode Arrays for Recording Signals from Rat’s Brain
Seizure is a neurological disorder due to abnormal, excessive, and hypersynchronous discharges from an aggregate of central nervous system neurons. Epilepsy describes the clinical phenomena of a condition of recurrent and ... -
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. ... -
Design and Development of an Intubation Catheter Integrated with MEMS-based Sensors for Central Airway Obstruction
Airway pathology leads to alteration in fluid flow, tissue biomechanics, and loss of patency. To address this clinical challenge, we developed an intraoperative tool to locate the site of obstruction, characterize tracheal ... -
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. ... -
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 ...