Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 41-60 of 1622
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Modelling program dynamics : A study on locality of reference
Locality of reference is a phenomenon exhibited by programs and computer systems in general, and refers to the tendency to localize operations to a small subset of the available resources. In the past, this phenomenon has ... -
Pattern recognition via Fuzzy set methods
The main objective of this thesis is the development of a methodology based on fuzzy set theory for several practical pattern recognition problems. Pattern recognition (PR) encompasses a range of problems from feature ... -
Algorithms and characterizations for subclasses of planar perfect graphs
In this thesis, we consider two major subclasses of planar perfect graphs. We exploit certain decomposability and ordering properties to develop new characterizations and efficient algorithms. We study the Hamiltonian cycle ... -
Design of electronic exchanges through decomposition
Decomposition-Based Approaches for Clearing Electronic Exchanges Electronic marketplaces have emerged in recent times as the backbone of important e-commerce and e-business applications to create efficient markets for ... -
Model-based Deep Learning Algorithms in Mimo Receivers : Channel Estimation & Symbol Detection
With the advent of Massive multiple-input-multiple-output (MIMO) wireless communication systems, users can now enjoy high spectral efficiency and throughput leading to a better quality of service. The efficacy of these ... -
Intelligent Reflecting Surfaces for Wireless Communications: Low-Complexity Techniques and Performance Analysis
Intelligent reflecting surface (IRS), also referred to as reconfigurable intelligent surface (RIS), is an emerging technology aimed at dynamically controlling the propagation environment of next-generation wireless systems. ... -
Speech Based Low-Complexity Classification of Patients with Amyotrophic Lateral Sclerosis from Healthy Controls: Exploring the Role of Hypernasality
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disorder characterized by motor neuron degeneration, leading to muscle weakness, atrophy, and speech impairments. Dysarthria, an early symptom in approximately 30% ... -
Scalable Solutions for Advancing the Performance and Reliability of 2D Transition Metal Dichalcogenides (TMDs)-Based Nanoelectronic Devices
The semiconductor device technology has evolved through the years by scaling down the device dimensions and changing device architecture to improve speed, power dissipation, packing density, and overall performance. To ... -
Modeling, Characterization, and Control of Switched Reluctance Motors
Switched reluctance machine (SRM) is known for many advantages such as permanent magnet-free operation, robust structure, low rotor inertia, low manufacturing cost, and excellent fault-tolerant capability. Hence, SRM has ... -
Cross-Layer Rate Adaptation in IEEE 802.11ax WLANs using Hybrid Feedback and Bayesian Learning Mechanisms
The rapid growth in wireless data demand has led to the evolution of IEEE 802.11 standards, with 802.11ax (Wi-Fi 6) aiming to improve spectral efficiency, throughput, and user experience in dense environments. A key ... -
Characterization and Enhancement of Dysarthric Speech for Amyotrophic Lateral Sclerosis: A Source-Filter Perspective
Dysarthria is a motor speech disorder that affects different aspects of speech functions, like respiration, phonation, articulation, prosody, and resonance. It progressively compromises the intelligibility and naturalness ... -
Efficient Signal and Modulation Classification for High Mobility Wireless Communication System
The escalating demand for high-mobility applications, such as vehicle-to-everything (V2X) networks, high-speed rail, and internet of things (IoT), drives the evolution of sixth-generation (6G) wireless communication ... -
Intelligent techniques for fault location in distribution systems using artificial neural networks
Power Distribution System forms a vital part of any Electric Power System. It acts as a final power delivery stage to the consumers. Hence, its study is important for the development of an efficient and reliable Power ... -
Neural networks for invariant recognition of 2-D objects
This thesis studies the problem of translation-, rotation- and size-invariant recognition of two-dimensional objects. This problem can be framed as follows: Given (i) a set of object descriptions in terms of either global ... -
Hypercube variant interconnection networks
The attractive properties of the hypercube have made it a popular interconnection network topology for the design of multicomputers. Researchers have been modifying the hypercube topology in subtle ways to improve upon a ... -
Study of parallel distributed schemes for combinatorial optimization.
This thesis is concerned with Parallel Distributed Optimization techniques for solving Combinatorial Optimization (CO) problems. Given a finite set of configurations and a cost function over them, a CO problem requires ... -
Learning Algorithms for stochastic automata-
Reported in this thesis is the study of nonlinear learning algorithms or reinforcement schemes for multi-state stochastic automata acting in stationary random media with unknown response characteristics. Such stochastic ... -
Optimal resource allocation in packet networks
This limitation can be overcome by considering a Non-Rate Proportional resource allocation. We present an Optimal Call Admission Control (CAC) algorithm for Generalized Processor Sharing (GPS) schedulers that performs a ... -
Diffusion approximation models for broadband integrated networks and their performance evaluation
In this thesis, we first consider the VBR video traffic modelling, then the reactive congestion control of VBR and BET traffic, and finally the optimal scheduling scheme for CBR traffic over the broadband integrated services ... -
Array combiner For GMRT
Today, Radio Astronomy has developed into a highly complex, interdisciplinary subject. Many radio astronomical problems need technologies from different engineering fields and knowledge from many scientific fields, at times ...