Browsing OU - Dissertations by Author "Lakshmivarahan, S"
Now showing items 1-12 of 12
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Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique
Tang, Peng (2015-12)This dissertation focuses on understanding and improving the “backbone” technique, a Hilbert-transform based vibration signal processing technique developed by Dr. Michael Feldman started in 1994. The concept of backbone ... -
Architecting Fail-Safe Supply Chains / Networks
Rezapour Behnagh, Shabnam (2017-05-12)Disruptions are large-scale stochastic events that rarely happen but have a major effect on supply networks’ topology. Some examples include: air traffic being suspended due to weather or terrorism, labor unions strike, ... -
Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments
Sobash, Ryan (2013-12)Convective-scale observing system simulation experiments (OSSEs) and real-data experiments were performed to study the impact of radar and surface observations on analyses and forecasts of convective systems using the ... -
Design, Implementation and Evaluation of an In-House Controller for Software Defined Networking with Applications
Xu, Yiming (2017-12-15)Over the past several decades, there has been a dramatic improvement in net- working technologies. Network devices and protocols are becoming more powerful and complex. The vertical structure of the network protocol layers ... -
Design, Implementation, and Evaluation of Join and Split Strategy for Transmission control protocol running on Software Defined Networks
Guo, Wei (2017-12-15)Software Defined Networks (SDN)-enabled switches of today can be empowered to intelligently forward as well as elastically steer the network traffic. In this work, we focus on developing a SDN-based framework to provide ... -
DISTRIBUTED ESTIMATION OF CENTRALITY MEASURES IN COMPLEX NETWORKS
Wang, Wei (2016-12-16)Knowing how important a node or an edge is, within a network, can be very valuable, for instance, in identifying those who are susceptible to malicious attacks, those who are bottlenecks to network performances, and those ... -
Feedback and Requirement Biasing for Enhancing Robustness of Scheduling Algorithms for Distributed System Processing
Grounds, Nicolas (2018-12)Scheduling tasks in a distributed system (e.g., cloud computing) in order to optimize an objective such as minimizing deadline misses has been a topic of research for decades. Such a problem is proven NP Complete even ... -
FRAMEWORK FOR IMPROVING PERFORMANCE OF PROTOCOLS FOR READING RADIO FREQUENCY IDENTIFICATION TAGS
Satyavolu, Chandrika (2014-12-12)Radio-frequency Identification (RFID) is a highly sought-after wireless technology used to track and manage inventory in the supply chain industry. It has varied applications ranging from automated toll collection and ... -
Measuring Cosmological Parameters using Matter Power Spectrum from Galaxy Redshift Survey Data
Maddumage Don, Prasad (2013-12)The galaxy power spectrum is a powerful tool used to study cosmic large scale structure and dark energy. A method to obtain the one dimensional galaxy power spectrum using the direct Fourier method is presented and this ... -
On the Complexity of Tipping in Super-Modular Games
Cremeans, Brian (2014-05)The problem of finding the minimum tipping set in a super modular game is known to be NP-hard. Here, I derive an approximation algorithm to find a small tipping set in such a game. In the special case of the uniform game, ... -
ON THE EXISTENCE OF KAM TORI FOR PRESYMPLECTIC VECTOR FIELDS
Bauer, Sean (2016-05)We prove the existence of a torus that is invariant with respect to the flow of a presymplectic vector field found in a family of presymplectic vector fields. Moreover, the flow on this invariant torus is conjugate to a ... -
THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS
Putnam, Bryan (2016-05-13)Accurately representing the microphysical state of precipitation using bulk microphysics schemes, including the hydrometeor particle size distributions (PSDs), is vital to improving convective-scale forecasts. In this ...