Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2016"
Now showing items 21-40 of 64
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DSA Image Registration And Respiratory Motion Tracking Using Probabilistic Graphical Models
(2017-10-18)This thesis addresses three problems related to image registration, prediction and tracking, applied to Angiography and Oncology. For image analysis, various probabilistic models have been employed to characterize the image ... -
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 ... -
Energy Harvesting Wireless Sensor Networks : Performance Evaluation And Trade-offs
(2017-09-23)Wireless sensor networks(WSNs) have a diverse set of applications such as military surveillance, health and environmental monitoring, and home automation. Sensor nodes are equipped with pre-charged batteries, which drain ... -
Fast Solvers for Integtral-Equation based Electromagnetic Simulations
(2018-01-10)With the rapid increase in available compute power and memory, and bolstered by the advent of efficient formulations and algorithms, the role of 3D full-wave computational methods for accurate modelling of complex ... -
Feature Adaptation Algorithms for Reinforcement Learning with Applications to Wireless Sensor Networks And Road Traffic Control
(2017-09-20)Many sequential decision making problems under uncertainty arising in engineering, science and economics are often modelled as Markov Decision Processes (MDPs). In the setting of MDPs, the goal is to and a state dependent ... -
Functional Index Coding, Network Function Computation, and Sum-Product Algorithm for Decoding Network Codes
(2018-01-10)Network coding was introduced as a means to increase throughput in communication networks when compared to routing. Network coding can be used not only to communicate messages from some nodes in the network to other nodes ... -
A GPU Accelerated Tensor Spectral Method for Subspace Clustering
(2017-11-30)In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may have high dimensionality, in many of the applications, such as motion ... -
Identifying Method Memoization Opportunities in Java Programs
(2017-12-13)Memorization of a method is a commonly used re-factoring wherein developer modules the code of a method to save return values for some or all incoming parameter values. Whenever a parameter-tuple is received for the second ... -
Integrated Interfaces for Sensing Applications
(2017-12-13)Sensor interfaces are needed to communicate the measured real-world analog values to the base¬band digital processor. They are dominated by the presence of high accuracy, high resolution analog to digital converters (ADC) ... -
Investigations on Hybrid Multilevel Inverters with a Single DC Supply for Zero and Reduced Common Mode Voltage Operation and Extended Linear Modulation Range Operation for Induction Motor Drives
(2018-01-01)Multilevel inverters play a major role in the modern day medium and high power energy conversion processes. The classic two level voltage source inverter generates PWM pole voltage output having two levels with strong ... -
Learning with Complex Performance Measures : Theory, Algorithms and Applications
(2017-12-07)We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from ... -
Modeling, Performance Analysis and Design of Wireless Networks for Embedded Sensing Applications
The general theme of this thesis is modeling, performance analysis, and design of wireless networks under standardized CSMA/CA MAC protocols. In particular, we consider two widely used MAC protocols, namely, IEEE 802.15.4, ... -
Multi-label Classification with Multiple Label Correlation Orders And Structures
(2018-06-18)Multilabel classification has attracted much interest in recent times due to the wide applicability of the problem and the challenges involved in learning a classifier for multilabeled data. A crucial aspect of multilabel ... -
Neuronal Dissimilarity Indices that Predict Oddball Detection in Behaviour
(2017-09-23)Our vision is as yet unsurpassed by machines because of the sophisticated representations of objects in our brains. This representation is vastly different from a pixel-based representation used in machine storages. It is ... -
New Algorithms for Some Economic Dispatch Problems
(2018-01-01)An electric power system consists of several generating stations which cater to the load demands of various regions. The prime function of any generating utility is to optimally schedule the real power output of its ... -
New Models and Methods for Formation and Analysis of Social Networks
Social networks are an inseparable part of human lives, and play a major role in a wide range of activities in our day-to-day as well as long-term lives. The rapid growth of online social networks has enabled people to ... -
A Novel Generalized Analytical Framework to Diagnose True Radial and Axial Displacements in an Actual Transformer Winding
(2017-12-02)Frequency response analysis (FRA) has emerged as the de-facto industry standard condition-monitoring tool to assess mechanical integrity of transformer windings during its service life. It the prerequisite detection ... -
Number Theoretic, Computational and Cryptographic Aspects of a Certain Sequence of Arithmetic Progressions
(2018-06-21)This thesis introduces a new mathematical object: collection of arithmetic progressions with elements satisfying the inverse property, \j-th terms of i-th and (i+1)-th progressions are multiplicative inverses of each other ... -
On Learning k-Parities and the Complexity of k-Vector-SUM
(2018-02-06)In this work, we study two problems: first is one of the central problem in learning theory of learning sparse parities and the other k-Vector-SUM is an extension of the not oriousk-SUM problem. We first consider the problem ... -
Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations
(2017-09-23)Social networks play an important role in disseminating a piece of information in a population. Companies advertising a newly launched product, movie promotion, political campaigns, social awareness campaigns by governments, ...