Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 641-660 of 1303
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Control, Modulation and Testing of High-Power Pulse Width Modulated Converters
(2018-04-02)Experimental research on high-power converters, particularly in an academic environment, faces severe infrastructural constraints. Usually, power source and loads of required ratings are not available. Further, more ... -
NoC Design & Optimization of Multicore Media Processors
(2018-03-22)Network on Chips[1][2][3][4] are critical elements of modern System on Chip(SoC) as well as Chip Multiprocessor(CMP)designs. Network on Chips (NoCs) help manage high complexity of designing large chips by decoupling ... -
Optimum Savitzky-Golay Filtering for Signal Estimation
(2018-03-21)Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the ... -
Induction Motor Drives Based on Multilevel Dodecagonal and Octadecagonal Volatage Space Vectors
(2018-03-21)For medium and high-voltage drive applications, multilevel inverters are very popular. It is due to their superior performance compared to 2-level inverters such as reduced harmonic content in the output voltage and current, ... -
Exploration of Real and Complex Dispesion Realtionship of Nanomaterials for Next Generation Transistor Applications
(2018-03-21)Technology scaling beyond Moore’s law demands cutting-edge solutions of the gate length scaling in sub-10 nm regime for low power high speed operations. Recently SOI technology has received considerable attention, however ... -
Investigations on CPI Centric Worst Case Execution Time Analysis
(2018-03-19)Estimating program worst case execution time (WCET) is an important problem in the domain of real-time systems and embedded systems that are deadline-centric. If WCET of a program is found to exceed the deadline, it is ... -
Improving the Precision of a Scalable Demand-Driven Null- Dereference Verification for Java
(2018-03-19)The problem addressed in this thesis is sound, scalable, demand-driven null-dereference verification for Java programs via over-approximated weakest preconditions analysis. The base version of this analysis having been ... -
Reconstruction of 3D Neuronal Structures
(2018-03-17)Microscopic analysis of biological structures can be significantly enhanced by representing the object of study as a three-dimensional entity. To assist neurobiologists investigate the molecular mechanisms involved in ... -
Analysis and Optimization of Cooperative Amplify-and-Forward Relaying with Imperfect Channel Estimates
(2018-03-17)Relay-based cooperation promises significant gains in a wireless network as it provides an inde-pendent path between a source and a destination. Using simple single antenna nodes, it exploits the spatial diversity provided ... -
Spectrum Sensing in Cognitive Radios using Distributed Sequential Detection
(2018-03-17)Cognitive Radios are emerging communication systems which efficiently utilize the unused licensed radio spectrum called spectral holes. They run Spectrum sensing algorithms to identify these spectral holes. These holes ... -
Construction of Secure and Efficient Private Set Intersection Protocol
(2018-03-17)Private set intersection(PSI) is a two party protocol where both parties possess a private set and at the end of the protocol, one party (client) learns the intersection while other party (server) learns nothing. Motivated ... -
Topics in Network Utility Maximization : Interior Point and Finite-step Methods
(2018-03-12)Network utility maximization has emerged as a powerful tool in studying flow control, resource allocation and other cross-layer optimization problems. In this work, we study a flow control problem in the optimization ... -
Hall-Effect Current Sensors for Power Electronic Applications : Design and Performance Validation
(2018-03-09)Closed loop Hall-effect current sensors used in power electronic applications require high bandwidth and small transient errors. For this, the behaviour of a closed loop Hall-e ect current sensor is modeled. Analytical ... -
Parameterized Complexity of Maximum Edge Coloring in Graphs
(2018-03-09)The classical graph edge coloring problem deals in coloring the edges of a given graph with minimum number of colors such that no two adjacent edges in the graph, get the same color in the proposed coloring. In the following ... -
An Optimizing Code Generator for a Class of Lattice-Boltzmann Computations
(2018-03-09)Lattice-Boltzmann method(LBM), a promising new particle-based simulation technique for complex and multiscale fluid flows, has seen tremendous adoption in recent years in computational fluid dynamics. Even with a ... -
Studies on Electrical Treeing in High Voltage Insulation Filled with Nano-Sized Particles
(2018-03-08)Polymers are widely used as insulating materials in high voltage power apparatus because of their excellent electrical insulating properties and good thermomechanical behavior. However, under high electrical stress, polymeric ... -
A Systems Perspective of Software Runtime Bloat - Origin, Mitigation and Power-Performance Implications
(2018-03-08)Large flexible software systems tend to incur “bloat”, here defined as the runtime overhead induced by the accumulation of excess functionality and objects. Removing bloat is hard as these overheads are a side-effect of ... -
Transient Analysis of EHV/UHV Transmission Systems for Improved Protection Schemes
(2018-03-07)Ever increasing demand for electricity, exploitation of large hydro and nuclear power at remote location has led to power evacuation by long EHV/UHV transmission systems. This thesis concentrates on transient analysis of ... -
Online Learning and Simulation Based Algorithms for Stochastic Optimization
(2018-03-07)In many optimization problems, the relationship between the objective and parameters is not known. The objective function itself may be stochastic such as a long-run average over some random cost samples. In such cases ... -
Supervised Learning of Piecewise Linear Models
(2018-03-07)Supervised learning of piecewise linear models is a well studied problem in machine learning community. The key idea in piecewise linear modeling is to properly partition the input space and learn a linear model for every ...