Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 461-480 of 1303
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Deep Learning for Bug Localization and Program Repair
In this thesis, we focus on the problem of program debugging and present novel deep learning based techniques for bug-localization and program repair. Deep learning techniques have been successfully applied to a variety ... -
Quantum-Drift-Diffusion Formalism Based Compact Model For Low Effective Mass Channel MOSFET
With the passage of time the semiconductor research community around the globe has progressed from a nearly four decades of dominating Silicon research to look for newer transistor materials, in the pursuit of more operating ... -
Electromagnetic Properties of Carbon Based Polymer Nanocomposites for Shielding, Chaffing and Camouflage Applications
High conductivity is a prerequisite for any material for it to be used in the field of electromagnetics. Metals like copper and aluminium are used for a variety of electromagnetic (EM) applications in industries like ... -
Power Electronic Technologies for Medium and High Power High Voltage Power Supplies
The performance of systems used in various high voltage applications depend majorly on the output voltage ripple of High Voltage Power Supplies (HVPS). One of the failure mode of microwave tube (MWT) commonly used in these ... -
0.5V Subthreshold Region Operated Ultra Low Power Passive Sigma Delta ADC in 180 NM CMOS Technology
With increasing demand of IoT devices, medical devices, remote sensors; the design of low power analog interface is becoming focus. Generally, for low frequency applications the Sigma Delta ADCs are used due to their very ... -
Integrated Optic Microring Resonator based Sub-μN force and Force and Acceleration Sensors
Microring resonators have rapidly emerged in the past few years as a new sensing platform for miniaturization of modern integrated optical devices. Ring resonator are having advantages of compactness, stability with ... -
Fiber Bragg Grating Sensor Based Devices for Novel Biomedical Applications
The present thesis work comprises of design and development of devices based on Fiber Bragg Grating (FBG) sensors for novel biomedical applications. Here, novel packaging methodologies have been utilized for transduction ... -
Deep Learning with Minimal Supervision
Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ... -
Dual Comparison One Cycle Control for Grid Connected Converters
Grid connected converters are widely used as front end rectifiers, interface between renewable energy and grid, and power quality applications. Popular control techniques to generate gating signals for active devices, ... -
Analysis, Control and Applications of Active Phase Converters for Single-Phase Power Grids
Single-phase distribution is a preferred approach for setting up microgrids or supplying power to rural and remote locations due to its lower infrastructure costs when compared to a three-phase grid. On the other hand, ... -
Machine Learning Algorithms Using Classical And Quantum Photonics
ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm ... -
Geometric and Topological Methods for Biomolecular Visualization
Biomolecules like proteins are the basic building blocks of living systems. It has been observed that the structure of a biomolecule plays an important role in defining its function. In this thesis, we describe novel ... -
High-rate MSR Codes, Interior-point Regenerating Codes, and Codes with Hierarchical Locality
Given the breath-taking pace at which the amount of data being generated on a daily basis is growing, and the keen desire to extract information from this data, there is strong interest within the storage industry, at ... -
An Improved Lower Bound for Multi-r-ic Depth Four Circuits as a Function of the Number of Input Variables
In this work we study the multi-r-ic formula model introduced by [KS15c] and improve upon the lower bound for multi-r-ic depth four circuits given in [KST16b], when viewed as a function of the number of input variables ... -
Joint Spectro-Temporal Analysis of Moving Acoustic Sources
Signals generated by fast moving acoustic sources are both challenging for analysis as well as rich in information. The motion is conceptually relative between the source and receiver i.e., either one of them is moving or ... -
Approximation Algorithms for Geometric Packing and Covering Problems
We study a host of geometric optimization problems that are NP-hard and design polynomial time approximation algorithms for them. More precisely, we are given a family of geometric objects and a point set, mostly in the ... -
Deep Learning Models for Few-shot and Metric Learning
Deep neural network-based models have achieved unprecedented performance levels over many tasks in the traditional supervised setting and scale well with large quantities of data. On the other hand, improving performance ... -
Utilizing Worker Groups And Task Dependencies in Crowdsourcing
Crowdsourcing has emerged as a convenient mechanism to collect human judgments on a variety of tasks, ranging from document and image classification to scientific experimentation. However, in recent times crowdsourcing has ... -
FEM Based Stochastic Analysis of Tolerance in Electromagnetic Periodic Structures
Solution of Maxwell's equations is required to model and analyse electromagnetic behaviour of circuits, components and systems. These equations being partial differ finial equations of vector field quantities with spatial ... -
Wideband Rate Adaptation and Scheduling in OFDM Cellular Systems : Modeling, Analysis, and Base Station Side Estimation
Current and next generation wireless cellular systems strive to maximize spectral efficiency and meet the increasing demand for higher data rates despite being severely constrained by the limited availability of spectrum. ...