Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2017"
Now showing items 41-60 of 70
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Learning Tournament Solutions from Preference-based Multi-Armed Bandits
We consider the dueling bandits problem, a sequential decision task where the goal is to learn to pick `good' arms out of an available pool by actively querying for and observing relative preferences between selected pairs ... -
Low Switching Frequency Pulse Width Modulation for Induction Motor Drives
(2018-06-11)Induction motor (IM) drives are employed in a wide range of industries due to low maintenance, improved efficiency and low emissions. Industrial installations of high-power IM drives rated up to 30 MW have been reported. ... -
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 ... -
Multilevel Dodecagonal and Octadecagonal Voltage Space Vector Structures with a Single DC Supply Using Basic Inverter Cells
(2018-06-15)Multilevel converters have become the direct accepted solution for high power converter applications. They are used in wide variety of power electronic applications like power transmission and distribution, electric motor ... -
New Methods for Learning from Heterogeneous and Strategic Agents
(2018-05-21)1 Introduction In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as ... -
New Techniques for Automatic Short Answer Grading
Assessing acquired knowledge by students is one of the key aspects of the pedagogical ecosystem. A significant part of a teacher’s time is spent towards grading responses of students to questions given in assignments and ... -
Non-Parametric Clustering of Multivariate Count Data
(2018-05-23)The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in the last decade, in the context of mixture models ... -
On a Divide-and-Conquer Approach for Sensor Network Localization
(2018-08-20)Advancement of micro-electro-mechanics and wireless communication have proliferated the deployment of large-scale wireless sensor networks. Due to cost, size and power constraints, at most a few sensor nodes can be equipped ... -
On Codes for Private Information Retrieval and Ceph Implementation of a High-Rate Regenerating Code
(2018-07-09)Error-control codes, which are being extensively used in communication systems, have found themselves very useful in data storage as well during the past decade. This thesis deals with two types of codes for data storage, ... -
On Design and Analysis of Energy Efficient Wireless Networks with QoS
(2018-06-13)We consider optimal power allocation policies for a single server, multiuser wireless communication system. The transmission channel may experience multipath fading. We obtain very efficient, low computational complexity ... -
Optimal Mechanisms for Selling Two Heterogeneous Items
(2018-07-04)We consider the problem of designing revenue-optimal mechanisms for selling two heterogeneous items to a single buyer. Designing a revenue-optimal mechanism for selling a single item is simple: Set a threshold price based ... -
Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings
(2018-05-30)Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in ma-chine learning, information retrieval, regression, ... -
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 ... -
Program Analyses to Support Memory-saving Refactorings in Java Programs
Software commonly consumes unexpectedly high amounts of memory, frequently due to programming idioms that are used to make software more reliable, maintainable and understandable. In the case of modern object-oriented ... -
Program Repair by Automated Generation of Hints
Programming has become an important skill in today's technology-driven world. It is a complex activity because of which programmers make mistakes in their software. Student programmers make mistakes in their programs due ... -
Real Time Face Recognition on GPU using OPENCL
(2018-05-23)Face recognition finds various applications in surveillance, Law enforcement etc. These applications require fast image processing in real time. Modern GPUs have evolved fully programmable parallel stream processors. The ... -
Scalable Sprase Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications
(2018-05-23)Hierarchical Bayesian Models and Matrix factorization methods provide an unsupervised way to learn latent components of data from the grouped or sequence data. For example, in document data, latent component corn-responds ... -
Secret Key Generation in the Multiterminal Source Model : Communication and Other Aspects
(2018-07-04)This dissertation is primarily concerned with the communication required to achieve secret key (SK) capacity in a multiterminal source model. The multiterminal source model introduced by Csiszár and Narayan consists of a ... -
Sparsity Motivated Auditory Wavelet Representation and Blind Deconvolution
(2018-08-29)In many scenarios, events such as singularities and transients that carry important information about a signal undergo spreading during acquisition or transmission and it is important to localize the events. For example, ... -
Speech and noise analysis using sparse representation and acoustic-phonetics knowledge
This thesis addresses different aspects of machine listening using two different approaches, namely (1) A supervised and adaptive sparse representation based approach for identifying the type of background noise and the ...