Electrical Engineering (EE): Recent submissions
Now showing items 81-100 of 357
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Parallel Computing Techniques for High Speed Power System Solutions
Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the ... -
Modelling, Optimisation and Control of Photovoltaic Energy Conversion Systems
With growing energy demands of the society and depleting reserves of conventional energy sources, renewable energy is the need of the hour. Out of the various renewable energy sources available, solar photovoltaic (PV) ... -
Fast and Robust Biomedical Image Reconstruction from Nonuniform Samples
We consider the problem of reconstructing images from non-uniformly under-sampled spatial point measurements with emphasis on robustness to noise. The computational methods that deals with this problem are known as ... -
Attention-Feedback and Representations in OCR
A Kannada OCR, named Lipi Gnani, has been designed and developed from scratch, with the motivation of it being able to convert printed text or poetry in Kannada script, without any restriction on vocabulary. The training ... -
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ... -
A Fast Constant-Time Approximation for Locally Adaptive Bilateral Filtering
Smoothing is a fundamental task in low-level image processing that is used to suppress irrelevant details while preserving salient image structures. The simplest smoothing mechanism is to average neighboring pixels using ... -
Application of Semi Analytical Methods for Large Power System Simulations
Power system dynamics can be accurately modelled in time domain by using nonlinear differential and algebraic equations (DAEs). The challenge lies in solving the large number of nonlinear DAEs faster than real-time in order ... -
Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ... -
Development of Synchro-Phasor Algorithms on Parallella - A Credit Card Sized Super Computer
In recent years, usage of GPS time-stamped phasor magnitude and angle measure- ments of voltage and current samples, called synchrophasors, is getting great atten- tion for wide area monitoring, protection, and control ... -
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ... -
Pitch-Synchronous Discrete Cosine Transform Features for Speaker Recognition and Other Applications
Extracting speaker-speci c information from the speech is of great interest since speaker recognition technology nds application in a wide range of areas such as forensics and biometric security systems. In this thesis, ... -
Tuning of Multi-Band Power System Stabilizers in Multi-Machine Power Systems
Intermittent nature of renewables acts as a frequent trigger for small signal oscillations in power grid. These oscillatory modes correspond to either the rotor modes associated with the synchronous machines of conventional ... -
Protection Schemes for Maintaining the Coordination Time Interval Between the Relays in Micro-grid
Conventional power system alone cannot meet the ever growing needs of electrical power in the world in a reliable manner. Under these circumstances, large penetration of Dis- tributed generators in the distribution level ... -
Visual Speech Recognition
Visual speech recognition (VSR), or automatic lip-reading, is the task of extracting speech information from visual input. The addition of visual speech has been shown to improve the performance of traditional audio ... -
Multiview Registration Using Rank-Constrained Semide nite Programming
We consider the problem of reconstructing a 3D surface from its multiview scans. Typically, the computational pipeline for this problem has two phases: (I) finding point-to-point correspondences between overlapping scans, ... -
Robust Risk Minimization under Label Noise
In the setting of supervised learning, one learns a classi fier from training data consisting of patterns and the corresponding labels. When labels of the examples in training data have errors, it is referred to as label ... -
Strategies for Handling Large Vocabulary and Data Sparsity Problems for Tamil Speech Recognition
This thesis focuses on the design and development of every building block of a very large vocabulary, continuous speech recognition (LVCSR) system and various experiments conducted in order to enhance its performance. ... -
Total Electric Field due to an Electron Avalanche and it's coupling to Transmission Line Conductors
Transmission of bulk electric power from the generating stations to the load centres can be carried out only through high voltages transmission lines. One of the main issues in the design and maintenance of extra and ... -
Theoretical and Algorithmic Aspects of Rigid Registration
In this thesis, we consider the rigid registration problem, which arises in applications such as sensor network localization, multiview registration, and protein structure determination. The abstract setup for this problem ... -
Improved Generative Models for Zero-shot object recognition
Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ...