Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 101-120 of 1622
-
Analysis, Control and Applications of Active Phase Converters for Single-Phase Power Grids
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, ... -
Analysis, Design, and Acceleration of DNN Training Preprocessing Pipelines
The performance of deep neural network (DNN) training is a function of both the training compute latency and the latency to fetch and preprocess the input data needed to train the model. With advance- ments in GPUs and ... -
Analysis, Diagnosis and Design for System-level Signal and Power Integrity in Chip-package-systems
(2018-05-25)The Internet of Things (IoT) has ushered in an age where low-power sensors generate data which are communicated to a back-end cloud for massive data computation tasks. From the hardware perspective this implies co-existence ... -
Analytical And Numerical Study Of Propagation In Optical Waveguides And Devices In Linear And Nonlinear Domains
(2010-07-23)The objective of this thesis is to study of optical effects, arising in the form of non-uniform waveguide structure, complicated refractive index profiles or due to pulse propagation in dense wavelength division multiplexing ... -
Analytical Modeling Of Quantum Thershold Voltage For Short Channel Multi Gate Silicon Nanowire Transistors
(2010-12-29)Silicon nanowire based multiple gate metal oxide field effect transistors(MG-MOSFET) appear as replacements for conventional bulk transistors in post 45nm technology nodes. In such transistors the short channel effect(SCE) ... -
Ankora: Notions of Multi-party Computation and Zero-knowledge Beyond Conventional Models
In the era of digitalization, data privacy and integrity are of utmost importance. Secure multiparty computation (MPC) and zero-knowledge (ZK) facilitate data privacy and integrity. MPC enables privacy-preserving collaborative ... -
Anonymity With Authenticity
(2014-09-02)Cryptography is science of secure message transmission. Cryptanalysis is involved with breaking these encrypted messages. Both cryptography and cryptanalysis constitute together to form cryptology. Anonymity means ... -
Antiresonance and Noise Suppression Techniques for Digital Power Distribution Networks
(2018-08-14)Power distribution network (PDN) design was a non-existent entity during the early days of microprocessors due to the low frequency of operation. Once the switching frequencies of the microprocessors started moving towards ... -
Application Of ANN Techniques For Identification Of Fault Location In Distribution Networks
(2008-10-03)Electric power distribution network is an important part of electrical power systems for delivering electricity to consumers. Electric power utilities worldwide are increasingly adopting the computer aided ... -
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) ... -
Application of exponential power estimator for speech coding
In speech coding, it is known that the Differential Pulse Code Modulation (DPCM) schemes lead to the reduction of bandwidth requirement (by removing the redundancy) as compared to pulse Code Modulation (PCM) schemes, ... -
Application of finite graph models of context fue languages.
A finite graph model for a context?free language is proposed. The model is called an extended transition system; its nodes encode [pushdown automata state, top stack symbol] pairs and its arcs encode pushdown automaton ... -
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 ... -
Application of trust region on methods to learning in feed forward neural networks
This thesis presents a novel algorithm for training feed-forward neural networks, addressing the limitations of the widely used back-propagation and Quickprop algorithms. While Quickprop is significantly faster than standard ... -
Approach to the Analysis of Scheduling Policies for Guaranteeing Delay with Arbitrary Arrivals
Many real-time applications require delay guarantees from the network. To achieve this, scheduling algorithms play a crucial role. Therefore, given a scheduling algorithm and a characterization of arriving traffic, it is ...