Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 505-524 of 1268
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Graph Neural Networks with Parallel Local Neighborhood Aggregations
Graph neural networks (GNNs) have become very popular for processing and analyzing graph-structured data in the last few years. Using message passing as their basic building blocks that aggregate information from neighborhoods, ... -
Grassmannian Fusion Frames for Block Sparse Recovery and Its Application to Burst Error Correction
(2018-05-01)Fusion frames and block sparse recovery are of interest in signal processing and communication applications. In these applications it is required that the fusion frame have some desirable properties. One such requirement ... -
Grid Interactive Quality AC Power Supply With Switching Arm Based Integrated Magnetics For Dynamically Controlled Interconnection Among Multiple Sources And Loads
(2013-09-17)The extensive use of nonlinear loads in today’s world has inspired considerable research interest in the area of power quality improvement. This thesis proposes an integrated magnetics based compact solution which provides ... -
Grobuer Basis Algorithms for Polynomial Ideal Theory over Noetherian Commutative Rings
(2018-05-14)One of the fundamental problems in commutative algebra and algebraic geometry is to understand the nature of the solution space of a system of multivariate polynomial equations over a field k, such as real or complex ... -
Guarding Terrain using k-Watchtowers
The discrete k-watchtower problem for a polyhedral terrain T in R3 with n vertices is to nd k vertical segments, called watchtowers, of smallest height, whose bottom end-points (bases) lie on some vertices of T, and ... -
Guessing And Compression : A Large Deviations Approach
(2011-04-01)The problem of guessing a random string is studied. It arises in the analysis of the strength of secret-key cryptosystems against guessing attacks. Expected number of guesses, or more generally moments of the number of ... -
Hadwiger's Conjecture On Circular Arc Graphs
(2009-04-30)Conjectured in 1943, Hadwiger’s conjecture is one of the most challenging open problems in graph theory. Hadwiger’s conjecture states that if the chromatic number of a graph G is k, then G has a clique minor of size at ... -
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 ... -
Handling Overloads with Social Consistency
Cloud computing applications have dynamic workloads, and they often observe spikes in the incoming traffic which might result in system overloads. System overloads are generally handled by various load balancing techniques ... -
Hard Drive Failure Prediction : A Rule Based Approach
(2011-07-12)The ability to accurately predict an impending hard disk failure is important for reliable storage system design. The facility provided by most hard drive manufacturers, called S.M.A.R.T. (self-monitoring, analysis and ... -
Hardware Emulation of a Long Transmission Line by High Frequency Power Electronic Converter for the study of Switching Transients
To ensure smooth functioning of the grid, the reliability and robustness of the power system equipment needs to be precisely evaluated during their development process. But direct on- eld tests of most of the equipment ... -
Hardware-based Device Identification for Systems with Commercially Off-the-shelf Components
The Identity of an electronic device is a fundamental property, that bootstraps several applications such as authentication and traceability. For the purpose of device identification, conventional methods generate a unique ... -
Harmonic Sound Source Separation in Monaural Music Signals
(2017-11-27)Sound Source Separation refers to separating sound signals according to their sources from a given observed sound. It is efficient to code and very easy to analyze and manipulate sounds from individual sources separately ... -
Heterogeneity Aware Shared DRAM Cache for Integrated Heterogeneous Architectures
Integrated Heterogeneous System (IHS) processors pack throughput-oriented GPGPUs along-side latency-oriented CPUs on the same die sharing certain resources, e.g., shared last level cache, network-on-chip (NoC), and the ... -
A Hierarchical Approach To Music Analysis And Source Separation
(2015-08-06)Music analysis and source separation have become important and allied areas of research over the last decade. Towards this, analyzing a music signal for important events such as onsets, offsets and transients are important ... -
Hierarchical Data Structures for Pattern Recognition
(Indian Institute of Science, 2005-02-22)Pattern recognition is an important area with potential applications in computer vision, Speech understanding, knowledge engineering, bio-medical data classification, earth sciences, life sciences, economics, psychology, ... -
Hierarchical Logcut : A Fast And Efficient Way Of Energy Minimization Via Graph Cuts
(2013-06-10)Graph cuts have emerged as an important combinatorial optimization tool for many problems in vision. Most of the computer vision problems are discrete labeling problems. For example, in stereopsis, labels represent disparity ... -
High Dimensional Quantum Information Technology Using Photonics: Protocol Development and Implementation Schemes
This thesis explores the realm of high-dimensional quantum information processing through the lens of photonics, focusing on developing and implementing quantum technologies based on d-level quantum systems known as qudits. ... -
High Frequency Link Inverters And Multiresonant Controllers
(2013-10-08)High frequency link power converters for DC – 3Φ AC applications are investigated. Low cost, reduced size, galvanic isolation and efficient large boosting of voltage level are the key motivations behind the selection of ... -
High Performance GPU Tensor Core Code Generation for Matmul using MLIR
State of the art in high-performance deep learning is primarily driven by highly tuned libraries. These libraries are often hand-optimized and tuned by expert programmers using low-level abstractions with significant effort. ...