Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 321-340 of 1279
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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 ... -
Spatio-temporal Memories: Theory and Algorithms
This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ... -
Analysis of Printed Periodic Structures and Their Applications in Antennas and Absorbers
To meet the demand of continuously growing RF and microwave technologies, scientists and engineers have developed innovative materials consisting of conducting and dielectric materials that overcome limitations in the ... -
Atom-to-circuit Modeling Strategy for 2d Transistors
Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction ... -
Design of Trusted Market Platforms using Permissioned Blockchains and Game Theory
The blockchain concept forms the backbone of a new wave technology that promises to be deployed extensively in a wide variety of industrial and societal applications. Governments, financial institutions, banks, industrial ... -
Differential Encoding for Real-Time Status Updates
We consider the problem of status updates of a physical process over an unreliable channel. In this setting, one may not be able to reliably transmit the current state at all times. Instead, one is interested in the ... -
First Principles Based Mobility Estimation of Graphene
Electron-phonon coupling (EPC) plays a vital role in detecting transport properties (e.g. mobility) of any material. First principles-based estimation of the mobility for any new material could act as a useful guideline ...