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Weighted Average Based Clock Synchronization Protocols For Wireless Sensor Networks
(2016-07-12)
Wireless Sensor Networks (WSNs) consist of a large number of resource constrained sensor nodes equipped with various sensing devices which can monitor events in the real world. There are various applications such as ...
Mechanism Design For Strategic Crowdsourcing
(Indian Institute of Science, 2013-12-17)
This thesis looks into the economics of crowdsourcing using game theoretic modeling. The art of aggregating information and expertise from a diverse population has been in practice since a long time. The Internet and the ...
Learning Robust Support Vector Machine Classifiers With Uncertain Observations
(2015-08-19)
The central theme of the thesis is to study linear and non linear SVM formulations in the presence of uncertain observations. The main contribution of this thesis is to derive robust classfiers from partial knowledge of ...
Autonomous Spacecraft Mission Planning And Execution In A Petri Net Framework
(2014-08-01)
Presently, most spacecraft are controlled from ground involving activities such as up-linking the schedule of daily operations and monitoring health parameters. These activities lead to a cognitive overload on human ...
Precise Analysis of Private And Shared Caches for Tight WCET Estimates
(2017-10-31)
Worst Case Execution Time (WCET) is an important metric for programs running on real-time systems, and finding precise estimates of a program’s WCET is crucial to avoid over-allocation and wastage of hardware resources and ...
Variants of Hegselmann-Krause Model
(2017-12-04)
The Hegselmann-Krause system (HK system for short) is one of the most popular models for the dynamics of opinion formation in multi agent systems. Agents are modeled as points in opinion space, and at every time step, each ...
A GPU Accelerated Tensor Spectral Method for Subspace Clustering
(2017-11-30)
In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may have high dimensionality, in many of the applications, such as motion ...
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)
Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ...
Power Issues in SoCs : Power Aware DFT Architecture and Power Estimation
(2018-01-10)
Test power, data volume, and test time have been long-standing problems for sequential scan based testing of system-on-chip (SoC) design. The modern SoCs fabricated at lower technology nodes are complex in nature, the ...