Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2018"
Now showing items 1-20 of 74
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Adaptively Secure Primitives in the Random Oracle Model
Adaptive security embodies one of the strongest notions of security that allows an adversary to corrupt parties at any point during protocol execution and gain access to its internal state. Since it models reallife situations ... -
Adjacent Independent Row (Air) Matrices and Index Coding
An index coding problem, comprises a transmitter that has a set of independent messages and a set of receivers. Each receiver knows a subset of messages, called its side-information, and demands another subset of messages, ... -
Algorithms for Multilingual IR in Low Resource Languages using Weakly Aligned Corpora
Multilingual information retrieval (MLIR) methods generally rely on linguistic resources such as dictionaries, parallel corpora, etc., to overcome the language barrier. For low resource languages without these resources, ... -
Analysis and Control of Cascades in Complex Networks
Our modern societies are best described as complex systems consisting of a large number of interacting components. Understanding the nature of these interactions is crucial, not only for gaining insights, but also for ... -
Application of Semi Analytical Methods for Large Power System Simulations
Power system dynamics can be accurately modelled in time domain by using nonlinear differential and algebraic equations (DAEs). The challenge lies in solving the large number of nonlinear DAEs faster than real-time in order ... -
Automated Test Generation and Performance Improvement using Dynamic Program Analysis
Software development process consists of various stages like design, implementation, and testing. Since programmers are considerably involved in these stages, their intuition and expertise play a vital role in the success ... -
Bayesian Techniques for Joint Sparse Signal Recovery: Theory and Algorithms
This thesis contributes new theoretical results, solution concepts, and algorithms concerning the Bayesian recovery of multiple joint sparse vectors from noisy and underdetermined linear measurements. The thesis is written ... -
Binaural Source Localization using subband reliability and interaural time difference patterns
Machine localization of sound sources is necessary for a wide range of appli- cations, including human-robot interaction, surveillance and hearing aids. Robot sound localization algorithms have been proposed using ... -
Blocker-tolerant Receiver Design Suitable for Software-defined and Cognitive Radio Applications
The ever growing demand for higher data rates and the heavy usage of wireless communication devices have created frequency congestion on certain bands of the radio spectrum. The push has been towards new standards that can ... -
Checking Observational Purity of Procedures
We provide two static analysis approaches(using theorem proving) that check if a given (recursive) procedure behaves as if it were stateless, even when it maintains state in global variables. In other words, we check if ... -
Compositionality of Object Representations in Brains and Machines
Compositionality in object vision can be defined as the principles governing the relationship between whole objects and their constituent attributes. It is known that object information falling on the retina is processed ... -
Computing Contour Tress for 2D Piecewise Polynomial Functions
Contour trees are extensively used in scalar field analysis. The contour tree is a data structure that tracks the evolution of level set topology in a scalar field. Scalar fields are typically available as samples at ... -
Correlation-aware Splitting Algorithms for Opportunistic Selection
Opportunistic selection is a key technique to improve the performance of wireless systems. In it, the best set of users among the available ones is selected on the basis of their instantaneous channel gains or local ... -
Data Structures and Algorithms to Analyze Concurrency in Android Applications
Android is a popular mobile operating system, providing a rich ecosystem for the development of applications which run on the Android platform. Entities such as the device user, network and sensors interact continuously ... -
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 ... -
Degradation Studies on Polymeric Insulators used for EHV and UHV Transmission
High voltage insulators used in overhead power transmission systems are of key im- portance for safe, reliable, and effcient operation of transmission line in transferring huge amount of electrical power. Conventionally, ... -
Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in different computer vision applications. However, due to inaccuracies in measurement and oversimplification in mathematical ... -
Design and Analysis of Integrated Optic Waveguide Grating for Sensor and Communication Applications
Waveguide gratings are widely being used for multitude of applications owing to high sensitivity, immunity to electromagnetic interference, multiplexing capabilities, light weight and compactness. Waveguide gratings on ... -
Design of Authentication and Privacy Schemes for a Generic Social Network
In social networks, people (also known as actors) are often connected to each other in order to share the information. With the advancement in the information technology, social networks have in influenced actors of ... -
Design of broad-band backend compatible photonic devices and vertical inter-layer couplers
Optical interconnects are regarded as efficient replacements for conventional electrical wiring for realizing large data capacity, high-speed transmission and Silicon-based integrated photonics is the best candidate for ...