Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2020"
Now showing items 21-40 of 64
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Engineering van der Waals Heterojunctions for Electronic and Optoelectronic Device Applications
Efficient preparation and characterization of layered materials and their van der Waals heterojunctions lay the foundation for various opportunities in both fundamental studies and device applications. The vast library ... -
Entanglement-assisted Additive Qudit Stabilizer Codes
Quantum systems governed by the laws of quantum mechanics are the most awaited technology of this century. Based on the shrinkage in the size of the devices over the years in classical systems, device sizes are expected ... -
Equivalent Circuit Analyses and Methods to Enhance Bandwidth of Klystron Reentrant Cavities
Klystron is used as an amplifier at microwave frequency range. Klystrons use cylindrical or rectangular reentrant cavities in their interaction structure. Characteristics of reentrant cavity can be defined using parameters ... -
Extending Program Analysis Techniques to Web Applications and Distributed Systems
Web-based applications and distributed systems are ubiquitous and indispensable today. These systems use multiple parallel machines for greater functionality, and efficient and reliable computation. At the same time they ... -
FA RCU: Fault Aware Read-Copy-Update
Deferred freeing is the fundamental technique used in Read-Copy-Update (RCU) synchronization technique where reclamation of resources is deferred until the completion of all active RCU read-side critical sections. We observe ... -
Fault Location in Double Wye Shunt Capacitor Banks
Shunt capacitor banks (SCBs) are usually used for providing reactive power support to power systems. Reactive power support leads to power factor correction, voltage regulation and reduction of network losses. Outage of ... -
Functional Safety Analysis Techniques for Integrated Circuits Used in Cyber-Physical Systems
Integrated Circuits (ICs) are used to realize multitude of real life systems. These real life systems have ICs interacting with physical systems (this combination being referred to as cyber-physical systems or hybrid ... -
Hypergraph Network Models: Learning, Prediction, and Representation in the Presence of Higher-Order Relations
The very thought about “relating” objects makes us assume the relation would be “pairwise”, and not of a “higher-order” — involving possibly more than two of them at a time. Yet in reality, higher-order relations do exist ... -
Improved Generative Models for Zero-shot object recognition
Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ... -
Investigation of Multi-Axis Beam Steering using Diffraction Grating
Optical beam-steering is becoming a key optical functionality in free space optical links used for communication and sensing. For example, in recent times, compact, wide-angle, fast, multi-axis beam steering is used ... -
Investigations on Five Level Inverter Schemes for Extending the Linear Modulation Range for Induction Motor Drives
Multilevel inverters (MLI) are the most preferable alternatives for medium to high voltage applications. It finds in many applications like traction drives, fans, blowers, HVDC and FACTs etc. It offers many attractive ... -
Investigations on Generation of 30-Sided Polygonal Voltage Space Vector Structures Using a Single DC-link for Induction Motor Drives
A conventional 2-level inverter is the most prevalent DC-AC converter used to drive an induction motor. A conventional 2-level inverter produces a hexagonal voltage space vector structure. To extract maximum voltage from ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
Load Modulated Arrays for Multi-antenna Wireless Communications
Conventional multi-antenna transmitters use a separate RF chain (consisting of DACs, mixers, filters) and a power amplifier (PA) for each antenna element, and use modulation alphabets such as QAM/PSK for transmission. The ... -
Low Power Analog Neural Network Framework with MIFGMOS
Ever since the beginning of the notion behind the term 'cloud computing,' i.e., to share the pro- cessing and storage capabilities of a centralized system, there has been a signi cant increase in the availability of raw ... -
Mask Estimator Approaches For Audio Beamforming
Beamforming is a family of algorithms and performs a spatial filtering operation that makes it possible to map the distribution of the sources at a certain distance from the microphones and therefore locate the ... -
A Method of Designing Museum Services Handling System for Ubiquitous Visitors
Advances in mobile computing technologies have enabled the personal ubiquitous computing environment for ubiquitous visitors. In the case of museum services, a ubiquitous visitor is free to access his/her interested exhibit ... -
Model Extraction and Active Learning
Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ... -
Model Extraction Defense using Modified Variational Autoencoder
Machine Learning as a Service (MLaaS) exposes machine learning (ML) models that are trained on confidential datasets to users in the form of an Application Programming Interface (API). Since the MLaaS models are deployed ... -
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ...