Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 341-360 of 1305
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Error Correction in Index Coding And Coded Caching
In an index coding problem, there is a sender which has a set of messages and there are multiple receivers demanding possibly different subsets of these messages and possessing some other subsets of these messages as ... -
Protocols for quantum information processing on graph states
Quantum entanglement is a unique phenomenon that occurs in quantum systems and ensures the feasibility of tasks considered impossible in the classical world. Two such important tasks are superdense coding and quantum ... -
Honest Majority and Beyond: Efficient Secure Computation over Small Population
Secure Multi-Party Computation for small population has witnessed notable practically-efficient works in the setting of both honest majority and dishonest majority. While honest majority provides the promise of stronger ... -
On Streaming Codes, Regenerating Codes and Locality-Aided Decoding
This thesis presents results relating to the application of error-correcting codes with different aims and in different settings; to achieve low-latency communication, to improve decoding performance and to enable the ... -
Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms
This thesis develops new mathematical theory and presents novel recovery algorithms for discrete linear dynamical systems (LDS) with sparsity constraints on either control inputs or initial state. The recovery problems ... -
On Media-Based Modulation for Wireless Communications
Traditionally, symbols chosen from complex modulation alphabets such as QAM and PSK are used to convey information bits, and complex fades introduced by the channel are viewed as detrimental effects that cause amplitude ... -
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning
Stochastic approximation algorithms are sequential non-parametric methods for finding a zero or minimum of a function in the situation where only the noisy observations of the function values are available. Two time-scale ... -
Learning to Adapt Policies for uSD card
Machine Learning(ML) for Systems is a new and promising research area where performance of computer systems is optimized using machine learning methods. ML for Systems has outperformed traditional heuristics methods in ... -
Practically Efficient Secure Small Party Computation over the Internet
Secure Multi-party Computation (MPC) with small population has drawn focus specifically due to customization in techniques and resulting efficiency that the constructions can offer. Practically efficient constructions ... -
A Method of Designing an Intelligent Public Transportation System in Metropolitan Area Using Emergent Intelligence
Metropolitan area consists of huge population density, one or more urban areas, satellite cities, rural areas and towns. It highly concentrates economic activities to attract people from rural areas and is a complex ... -
Content-Based Texture Analysis and Synthesis for Low Bit-Rate Video Coding Using Perceptual Models
Determining perceptually irrelevant and redundant information from human point of view is one of the fundamental problems today that is limiting the performance of current video compression algorithms. The performance of ... -
Algorithms for Challenges to Practical Reinforcement Learning
Reinforcement learning (RL) in real world applications faces major hurdles - the foremost being safety of the physical system controlled by the learning agent and the varying environment conditions in which the autonomous ... -
Parallel Computing Techniques for High Speed Power System Solutions
Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the ... -
Engineering quantum emitters in WSe2 films on metal films
The discovery of single photon emitters (SPEs) in van der Waals materials, in particular, from point defects in Tungsten Diselenide (WSe2) and hexagonal Boron Nitride (hBN), has sparked tremendous research interest in the ... -
Designing Authentication and Privacy Schemes for Ubiquitous Services
Ubiquitous services in ubiquitous environments provide personalized and adaptive services to a user anytime anywhere, by considering the context information such as profile information and history of the users. Ubiquitous ... -
Modelling, Optimisation and Control of Photovoltaic Energy Conversion Systems
With growing energy demands of the society and depleting reserves of conventional energy sources, renewable energy is the need of the hour. Out of the various renewable energy sources available, solar photovoltaic (PV) ... -
Fast and Robust Biomedical Image Reconstruction from Nonuniform Samples
We consider the problem of reconstructing images from non-uniformly under-sampled spatial point measurements with emphasis on robustness to noise. The computational methods that deals with this problem are known as ... -
Attention-Feedback and Representations in OCR
A Kannada OCR, named Lipi Gnani, has been designed and developed from scratch, with the motivation of it being able to convert printed text or poetry in Kannada script, without any restriction on vocabulary. The training ... -
Recommendations in Complex Networks: Unifying Structure into Random Walk
Making recommendations or predicting links which are likely to exist in the future is one of the central problems in network science and graph mining. In spite of modern state-of- the-art approaches for link prediction, ... -
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ...