Browsing Electrical Engineering (EE) by Title
Now showing items 86-105 of 345
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Digital Control Of Solar Photovoltaic Converters
(2011-02-10)A photo-voltaic system consists of solar cells, power converters, battery and the load. The power converter interfaces the solar cells, battery and the load. The battery serves to equalise the energy demand (load) and the ... -
Dimensioning Of Corona Control Rings For EHV/UHV Line Hardware And Substations
(2015-07-13)High voltage (EHV and UHV) transmission facilitates transfer of large amount of power over long distances. However, due to the inherent geometry, the line and substation hardware of EHV and UHV class generate high electric ... -
Direct Time Domain Modelling Of First Return Stroke Of Lightning
(2009-05-21)Being one of the most spectacular events in nature, lightning is basically a transient high current electric discharge in the atmosphere, which extends up to kilometres. Cloud to ground discharge is the most hazardous one ... -
Discharge Plasma based NOx Abatement in Engine Exhaust Assisted by Industry Wastes : A Parametric Evaluation with Diesel Fuels and Corona Electrodes
Diesel engines contribute to a large percentage of oxides of nitrogen (NOx) emission in the atmosphere. The NOx primarily consists of nitric oxide (NO) and nitrogen dioxide (NO2). With depleting fossil fuel supplies ... -
Discharge Plasma Supported Mariculture and Lignite Waste for NOx Cleaning in Biodiesel Exhaust : Direct and Indirect Methods
(2018-06-18)One major aspect of environmental pollution affecting human life and climate is air pollution. The harmful pollutants in the air include mostly hydrocarbons, carbon monoxide, carbon dioxide, nitrogen oxides as well as soot ... -
Discovering Frequent Episodes : Fast Algorithms, Connections With HMMs And Generalizations
(2008-10-13)Temporal data mining is concerned with the exploration of large sequential (or temporally ordered) data sets to discover some nontrivial information that was previously unknown to the data owner. Sequential data sets come ... -
Discovering Frequent Episodes With General Partial Orders
(2013-06-04)Pattern Discovery, a popular paradigm in data mining refers to a class of techniques that try and extract some unknown or interesting patterns from data. The work carried out in this thesis concerns frequent episode mining, ... -
Discriminative Descriptors for Unconstrained Face and Object Recognition
Face and object recognition is a challenging problem in the field of computer vision. It deals with identifying faces or objects form an image or video. Due to its numerous applications in biometrics, security, multimedia ... -
Distributed Target Tracking in Camera Networks
Recently, there is a tremendous increase in usage of multi-camera set-up in many applications such as surveillance, smart homes, sports analysis etc. Since manual analysis of videos in multi-camera set-up is tedious and ... -
DSA Image Registration And Respiratory Motion Tracking Using Probabilistic Graphical Models
(2017-10-18)This thesis addresses three problems related to image registration, prediction and tracking, applied to Angiography and Oncology. For image analysis, various probabilistic models have been employed to characterize the image ... -
Dual Comparison One Cycle Control for Grid Connected Converters
Grid connected converters are widely used as front end rectifiers, interface between renewable energy and grid, and power quality applications. Popular control techniques to generate gating signals for active devices, ... -
Dynamic Headpose Classification and Video Retargeting with Human Attention
(2018-07-14)Over the years, extensive research has been devoted to the study of people's head pose due to its relevance in security, human-computer interaction, advertising as well as cognitive, neuro and behavioural psychology. One ... -
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network
Very large scale multi-agent systems occur both naturally and in engineering applications. In many of these systems, the agents are either selfish or act with varying levels of coordination. Understanding the evolution of ... -
Effective Characterization of Sequence Data through Frequent Episodes
(2018-08-14)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 ... -
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 ... -
Efficient and Convergent Algorithms for High-Fidelity Hyperspectral Image Fusion
Hyperspectral (HS) imaging refers to acquiring images with hundreds of bands corresponding to different wavelengths of light. HS imaging has a wide range of applications such as remote sensing, industrial inspection, ... -
Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling
(2018-05-10)Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce ... -
An Efficient Solution To Generalized Model Of A Transformer Winding And Localization Of Discrete Changes Based On Measurements
(2008-01-31)High voltage power transformers are designed to withstand a variety of overvoltages and short circuit forces. Occurrence of these events in a power system is natural, inevitable, and one of the main causes of transformer ...