Browsing The University of Oklahoma by Author "Radhakrishnan, Sridhar"
Now showing items 21-40 of 48
-
Essays on Networks in Auctions
Press, Robert (2021-05-14)My dissertation chapters study the effects networks play in an auction setting. My first chapter explores how subcontracting creates affiliation between firm's costs in an auction setting. It first offers a theoretical ... -
Extended Observation Particle Filter with SVD Template Generation Implemented for GPU
Williams, Jonathan (2018-12)This work presents a novel template updating strategy based on singular value decomposition (SVD) together with an expansion and extension of previous work combining observations across temporally adjacent frames to implement ... -
Fair Resource Allocation in Macroscopic Evacuation Planning Using Mathematical Programming: Modeling and Optimization
Bin Obaid, Hamoud (2020)Evacuation is essential in the case of natural and manmade disasters such as hurricanes, nuclear disasters, fire accidents, and terrorism epidemics. Random evacuation plans can increase risks and incur more losses. Hence, ... -
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 ... -
Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods
Hu, Junjun (2015-12-18)In the context of prediction science, the sources of uncertainty can be from the uncertainties of the experiments, modeling, model inputs, numerical analysis, etc. This study concentrates on quantifying the forecast ... -
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 ... -
Game theoretic algorithms for decentralized decision-making environments
Rangrazjeddi, Alireza (2023-08-04)Traditional viewpoints on the decision-making environment have been centered on a top-down perspective, guided by a hierarchy in which only one entity may establish desirable criteria and pursue them while considering ... -
Graph Isomorphisms and Homeomorphisms for Part and Assembly Matching: Distributed System and Provenance with Blockchain Technology
Kenney (2020-05)In recent times, the democratization of manufacturing through various developments in the industry, such as 3-D printing and crowdsourcing, has led to increasing levels of innovation and a greater ability for smaller ... -
Informed, Interactive, and Interpretable Machine Learning for Forward Kinematics of Robot Arms
Kanneganti, Sai Teja (2022-08)Machine learning (ML) is becoming increasingly sought after in diverse domains. Unfortunately for this objective, most ML research has focused too much on improving performance on evaluation metrics such as accuracy to the ... -
Infrastructure Network Resilience and Economic Impacts: Applications in Multi-Modal Freight Transportation
Darayi, Mohamad (2017-08-01)The US has defined a number of critical infrastructures, the disruption of which “would have a debilitating impact on security, national economic security, national public health or safety, or any combination of those ... -
An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production
Almaraj, Ismail (2019-05)Modeling robust closed- loop supply chain under multiple uncertainties and multiple criteria where imperfect quality production is incorporated is a new research trend in this area. Such integration is essential as it ... -
A Kinetic Distance-to-Mean Based Routing Algorithm for Vehicular Ad-Hoc Networks
Saulas, Romain (2017-12)Vehicular Ad-hoc Network (VANET) allows vehicles to send information to each other or to roadside equipment in an instant and a wireless manner. It represents a considerable step forward in terms of transportation. Indeed, ... -
A location optimization approach to refugee resettlement decision-making
Cilali, Buket (2020-12)Whether due to customary causes or new emerging ones, the ever-growing refugee population precipitates a variety of issues all around the world. Resettlement of individuals and families is an issue that should be regarded ... -
Machine Learning Approach to Model Interdependent Network Performance
Ramineni Chittibabu Naidu, Ghaneshvar (2019-12-13)Resilience can be understood as the property of an object or system to recover from its state of disruption back to its complete functional stage as it was prior to the disruption event. There are different ways of measuring ... -
A New Multi-core CPU Resource Availability Prediction Model for Concurrent Processes
Hasan, Khondker S.; Antonio, John K.; Radhakrishnan, Sridhar (2017-03)The efficiency of a multi-core architecture is directly related to the mechanisms that map the threads (processes in execution) to the cores. Determining the CPU resource availability of a multi-core architecture based on ... -
Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods
Johnson, Aaron (2014-12-12)This dissertation research was undertaken to better understand the optimal design of convection-permitting storm-scale ensemble forecast (SSEF) systems that resolve features ranging from synoptic to convective scales. The ... -
Parallel Algorithms for Counting Problems on Graphs Using Graphics Processing Units
Chatterjee, Amlan (2014-12)The availability of Graphics Processing Units (GPUs) with multicore architecture have enabled parallel computations using extensive multi-threading. Recent advancements in computer hardware have led to the usage of graphics ... -
Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms
Carlson, Benjamin (2016-05)Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While this technique enables ... -
Predicting NBA Efficiency from NCAA Statistics Using Play-by-Play and On-Off Statistics
Beene, Alexander (2018)New data is available for college basketball since 2009-10. However, when adding interactions, there is a sparse dataset with over 30,000 variables. This causes problems, because there are far more variables than observations. ... -
Predicting wine quality and/or taste through the use of a latent ODE-RNN Neural Net
Beattie, Alexandra (2019-12-13)It is common for recommendation systems to use clustering techniques for finding similar products for the downstream user. These models do not always incorporate time as a variable when recommending an item. If our ...