Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 1-20 of 1577
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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 ... -
Performance analysis of TCP connections with RED control and exogenous traffic
The Transmission Control Protocol (TCP) is the main protocol used in the Internet for data transfer applications. Certain congestion control mechanisms have been incorporated in host implementations of this protocol which ... -
Study of simulated xy plasma at k-band
Spacing between the wires (in mm) Spacing between the grid structures (in mm) Free-space wavelength (in mm) Simulated plasma frequency (in Hz) Frequency of the oscillator (in Hz) Refractive index Equivalent plasma density ... -
DPLL's for network synchronization: a new approach.
A new DPLL has been described in this thesis to overcome some of the limitations of the conventional second-order DPLL in the context of network synchronization applications. The analytical and computer simulation studies ... -
Design and development of subject storage and learner models for WESLA
With the advent of the web, the Internet has evolved into a user-friendly medium, capable of high-speed on-demand information delivery. Web-based distance learning systems support distributed and asynchronous learning. ... -
Application of coherent optical techniques in the study of serve mathematical operations
The aim of the project is to study some of the mathematical operations by coherent optical processing techniques with the help of gratings. These mathematical operations are namely: (1) Translation (2) Addition (3) ...