Electrical Engineering (EE): Recent submissions
Now showing items 81-100 of 351
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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 ... -
Pronunciation assessment and semi-supervised feedback prediction for spoken English tutoring
Spoken English pronunciation quality is often influenced by the nativity of a learner, for whom English is the second language. Typically, the pronunciation quality of a learner depends on the degree of the following four ... -
Cross-Modal Retrieval and Hashing
The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching ... -
Soft Switched Multilevel Unidirectional High Frequency Link DC to AC Converter for Medium Voltage Grid Integration of Solar Photovoltaics
Grounding the frame of photovoltaic (PV) panel is a necessity for the safety of humans. This leads to the formation of large capacitance between PV cells and ground. Hence, to reduce leakage current due to parasitic ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Devanagari Online Handwritten Character Recognition
In this thesis, a classifier based on local sub-unit level and global character level representations of a character, using stroke direction and order variations independent features, is developed for recognition of ... -
Sampling of Structured Signals: Techniques and Imaging Applications
The celebrated Shannon sampling theorem is a key mathematical tool that allows one to seamlessly switch between the continuous-time and discrete-time representations of bandlimited signals. Sampling and reconstruction of ...