Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 381-400 of 1279
-
Analysis and Mitigation of SideLobe Degradation due to Quantized control in mmWave 5G Phased Arrays
Antenna arrays are one of the most important parts of the RF communication systems. With the advancement in the eld of 5G mobile communication, electronically steerable arrays, particularly phased arrays have undergone ... -
Equivalent Circuit Analyses and Methods to Enhance Bandwidth of Klystron Reentrant Cavities
Klystron is used as an amplifier at microwave frequency range. Klystrons use cylindrical or rectangular reentrant cavities in their interaction structure. Characteristics of reentrant cavity can be defined using parameters ... -
Representing Networks: Centrality, Node Embeddings, Community Outliers and Graph Representation
Networks are ubiquitous. We start our technical work in this thesis by exploring the classical concept of node centrality (also known as influence measure) in information networks. Like clustering, node centrality is also ... -
Algorithms for Stochastic Optimization, Statistical Estimation and Markov Decision Processes
Stochastic approximation deals with the problem of finding zeros of a function expressed as an expectation of a random variable. In this thesis we propose convergent algorithms for problems in optimization, statistical ... -
Unified Control based Adaptable Converters with a Fractional Harmonic Inter Converter Signalling channel for Dynamic tracking of PCC and Managing Multiple Converters Connected in Parallel in a Microgid
The increasing demand of energy over the past few years as well as the growing environmental concerns have forced the mankind to look out for non conventional sources of energy such as solar, wind etc. Consequently a ... -
Embedding Networks: Node and Graph Level Representations
Graph neural networks gained significant attention for graph representation and classification in the machine learning community. For graph classification, different pooling techniques are introduced, but none of them has ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Spatial Analysis and Reconstruction of Reverberant Speech
Speech signal includes the spoken message and a lot more information such as speaker emotion, identity, language, speaking location characteristic etc., which makes the human interaction lively, desirable and more useful. ... -
Devanagari Online Handwritten Character Recognition
In this thesis, a classifier based on local sub-unit level and global character level representations of a character, using stroke direction and order variations independent features, is developed for recognition of ... -
Decision Making under Uncertainty : Reinforcement Learning Algorithms and Applications in Cloud Computing, Crowdsourcing and Predictive Analytics
In this thesis, we study both theoretical and practical aspects of decision making, with a focus on reinforcement learning based methods. Reinforcement learning (RL) is a form of semi-supervised learning in which the agent ... -
Algorithms for Fair Decision Making: Provable Guarantees and Applications
The topic of fair allocation of indivisible items has received significant attention because of its applicability in several real-world settings. This has led to a vast body of work focusing on defining appropriate fairness ... -
Sampling of Structured Signals: Techniques and Imaging Applications
The celebrated Shannon sampling theorem is a key mathematical tool that allows one to seamlessly switch between the continuous-time and discrete-time representations of bandlimited signals. Sampling and reconstruction of ... -
Modeling, Characterization, Control and Design of Switched Reluctance Machines
Switched reluctance machines (SRM) are permanent magnet free, and have a simple rotor construction with no current carrying parts. These are particularly suitable for high-temperature and high-speed applications. However, ... -
A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions
The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ... -
Safe Operating Area Reliability of AlGaN/GaN High Electron Mobility Transistors (HEMTs)
Gallium Nitride (GaN) based high electron mobility transistors (HEMTs) are extensively considered for power switching and RF applications by the virtue of their unique properties. However, despite of its attractive ... -
On Learning and Lower Bound Problems Related to the Iterated Matrix Multiplication Polynomial
The iterated matrix multiplication polynomial (IMM) of width w and length d is the 1x1 entry in the product of d square matrices of size w. The w^2d entries in the d matrices are distinct variables. In this thesis, we study ... -
A Method of Designing Museum Services Handling System for Ubiquitous Visitors
Advances in mobile computing technologies have enabled the personal ubiquitous computing environment for ubiquitous visitors. In the case of museum services, a ubiquitous visitor is free to access his/her interested exhibit ... -
Transient Vector Estimator Based High Dynamic Performance Control and Kalman Filter based Self Commissioning of Induction Motor Drives for Electric Vehicle Applications
Induction machine, the work horse of the industry, has been widely used in industrial drives. The most common and efficient way to control the speed of induction machine is with variable frequency drives. The variable ... -
AlGaN/GaN Heterojunction Based Hall Sensors for Magnetic Field Sensing over Wide Temperature Range
Hall sensor has proved to be an attractive solution for sensing requirements in electric machines for direct measurement of fields or indirect estimation of physical quantities such as current, speed and torque. Current ... -
Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness
Recent decades have seen a revolution in the way people communicate, buy products, learn new things, and share life experiences. This has spurred the growth of online platforms that enable users from all over the globe to ...