Single-phase distribution is a preferred approach for setting up microgrids or supplying power to rural and remote locations due to its lower infrastructure costs when compared to a three-phase grid. On the other hand, ...

Smoothing (diffusion) is a fundamental task in low-level vision and image processing. In the context of natural images, where edges (sharp discontinuities) play an important psychovisual role, the smoothing process needs ...

Insulators play an important role in the reliability and safe operation of EHV/UHV transmission lines. Recently several utilities in the country and elsewhere are using polymeric insulators for the high voltage transmission ...

In recent years communication of the scene geometry is gaining importance. With development of technologies such as head mounted displays and Augmented Reality (AR) the need for efficient 3D scene communication is becoming ...

Traditionally, monitoring and control functions in large power systems were based on measurements obtained locally. While small disturbances have their impact con ned locally to the area of disturbance, large disturbances ...

In many scenarios, events such as singularities and transients that carry important information about a signal undergo spreading during acquisition or transmission and it is important to localize the events. For example, ...

Recently high temperature vulcanized (HTV) silicone rubber (SIR) / polymeric/composite insulators are gaining wider acceptance as overhead transmission line insulators for extra high voltage (EHV) and ultra-high voltage ...

Pattern discovery is an important area of data mining referring to a class of techniques designed for the extraction of interesting patterns from the data. A pattern is some kind of a local structure that captures correlations ...

The growing demand for power and increased environmental concerns gave an impetus to the growth of clean and renewable energy sources like wind, solar etc. There is a remarkable increase in the penetration of wind energy ...

This thesis explores motion trajectory-based approaches to recognize human actions in real-world, unconstrained videos. Recognizing actions is an important task in applications such as video retrieval, surveillance, ...