Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 781-800 of 1612
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Machine Learning Algorithms Using Classical And Quantum Photonics
ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm ... -
Geometric and Topological Methods for Biomolecular Visualization
Biomolecules like proteins are the basic building blocks of living systems. It has been observed that the structure of a biomolecule plays an important role in defining its function. In this thesis, we describe novel ... -
High-rate MSR Codes, Interior-point Regenerating Codes, and Codes with Hierarchical Locality
Given the breath-taking pace at which the amount of data being generated on a daily basis is growing, and the keen desire to extract information from this data, there is strong interest within the storage industry, at ... -
An Improved Lower Bound for Multi-r-ic Depth Four Circuits as a Function of the Number of Input Variables
In this work we study the multi-r-ic formula model introduced by [KS15c] and improve upon the lower bound for multi-r-ic depth four circuits given in [KST16b], when viewed as a function of the number of input variables ... -
Joint Spectro-Temporal Analysis of Moving Acoustic Sources
Signals generated by fast moving acoustic sources are both challenging for analysis as well as rich in information. The motion is conceptually relative between the source and receiver i.e., either one of them is moving or ... -
Approximation Algorithms for Geometric Packing and Covering Problems
We study a host of geometric optimization problems that are NP-hard and design polynomial time approximation algorithms for them. More precisely, we are given a family of geometric objects and a point set, mostly in the ... -
Deep Learning Models for Few-shot and Metric Learning
Deep neural network-based models have achieved unprecedented performance levels over many tasks in the traditional supervised setting and scale well with large quantities of data. On the other hand, improving performance ... -
Utilizing Worker Groups And Task Dependencies in Crowdsourcing
Crowdsourcing has emerged as a convenient mechanism to collect human judgments on a variety of tasks, ranging from document and image classification to scientific experimentation. However, in recent times crowdsourcing has ... -
FEM Based Stochastic Analysis of Tolerance in Electromagnetic Periodic Structures
Solution of Maxwell's equations is required to model and analyse electromagnetic behaviour of circuits, components and systems. These equations being partial differ finial equations of vector field quantities with spatial ... -
Wideband Rate Adaptation and Scheduling in OFDM Cellular Systems : Modeling, Analysis, and Base Station Side Estimation
Current and next generation wireless cellular systems strive to maximize spectral efficiency and meet the increasing demand for higher data rates despite being severely constrained by the limited availability of spectrum. ... -
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 ... -
Fast High-Dimensional Filtering
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 ... -
Analysis and Control of Cascades in Complex Networks
Our modern societies are best described as complex systems consisting of a large number of interacting components. Understanding the nature of these interactions is crucial, not only for gaining insights, but also for ... -
Energy Aware Synthesis of Accelerators on a Network of HyperCells
With supply voltage no longer scaling down at the same rate as transistor feature size, keeping power dissipation to practical levels while maximizing performance is becoming a challenge in future computing systems. ... -
Algorithms for Adjusted Load Flow Solutions using the Complementarity Principle
The state of a given power system i.e. voltage magnitudes and angles at all the buses can be computed using the Newton-Raphson Load Flow (NRLF) method when active power and reactive power loads are specified at all the ... -
Investigations on the Corona Degradation of Polymeric Insulating Samples
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 ... -
Enhancement of Small Signal Stability in Power Systems: Novel Approaches
The modern power system is a highly nonlinear system that operates in a constantly changing environment. Power system, need to maintain more or less flat voltage profile across the grid and maintain stability for small and ... -
On Applications of 3D-Warping and An Analysis of a RANSAC Heuristic
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 ... -
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 ... -
Optimal Routing and Data Transmission for Multi-Hop D2D Communications
Device-to-Device (D2D) communication, which enables direct link communication between nodes without going through the infrastructure, has received considerable attention in recent years, particularly in the context of ...