Browsing School of Computing and Engineering (UMKC) by Thesis Department "Mathematics (UMKC)"
Now showing items 1-20 of 22
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Anisotropic Mesh Adaptation for Image Segmentation based on Partial Differential Equations
(2020)As the resolution of digital images increases significantly, the processing of images becomes more challenging in terms of accuracy and efficiency. In this dissertation, we consider image segmentation by solving a partial ... -
Development of an advanced Hybrid (U)RANS/LES turbulence models using Scale Adaptive Simulation (SAS) method
(2022)Turbulence is a ubiquitous phenomenon occurring in most practical fluid flows. The accurate prediction of turbulent flows is evident in optimizing and developing highly efficient modern fluid systems. Several turbulence ... -
Development of pulsed power sources using self-sustaining nonlinear transmission lines and high-voltage solid-state switches
(2021)The demand for short pulses capable of delivering high peak power is increasing by leaps and bounds over the last few decades. These pulses are garnering attraction from a wide variety of end-users associated with the ... -
Disaster and infrastructure scene understanding
(2021)Urban scenes are visually complex as they contain physical objects and their spatial-temporal dynamic processes, including natural disasters and human-centered socio-economic activities. Image-based understanding of urban ... -
Dynamic Virtual Network Restoration with Optimal Standby Virtual Router Selection
(2015)Network virtualization technologies allow service providers to request partitioned, QoS guaranteed and fault-tolerant virtual networks provisioned by the substrate network provider (i.e., physical infrastructure provider). ... -
Efficient sequential designs with asymptotic second-order lower bound of Bayes risk for estimating product of means
(2019)In order to estimate the reliability of sequentially designed procedures under the Bayesian framework with conjugate priors, a sharp lower bound for the Bayes risk has been derived. Chapter 1 and 2 introduce the background ... -
Fault Diagnosis and Condition Monitoring of Power Electronic Components Using Spread Spectrum Time Domain Reflectometry (SSTDR) and the Concept of Dynamic Safe Operating Area (SOA)
(2021)Fault diagnosis and condition monitoring (CM) of power electronic components with a goal of improving system reliability and availability have been one of the major focus areas in the power electronics field in the last ... -
First and Second Order Efficiency of Sequential Designs in a Nonlinear Situation with Applications
(University of Missouri--Kansas City, 2016)In many statistical problems, optimal designs may be infeasible with their dependence on the parameters, which are unknown a priori. In such circumstances, choosing the next design points adaptively by making good use of ... -
Hydrologic Analysis of Rain Garden Performance
(2016)Urban flooding became a significant issue for many cities worldwide due to rapid urbanization and increased impervious areas over the past two decades ([1]). Rain gardens are considered to be an economically-friendly ... -
Identification and Development of a Reliable Framework to Predict Passive Scalar Transport for Turbulent Bounded Shear Flows
(2020)Heat transfer modeling plays an integral role in optimization and development of highly efficient modern thermal-fluid systems. However, currently available heat flux models suffer from fundamental shortcomings. For example, ... -
Investigation of strength of a hybrid adhesive anchor system used in precast concrete welded repair applications subjected to tensile and eccentric shear loading
(University of Missouri--Kansas City, 2012-08-28)A common precast industry repair for missing or misplaced connection plates is the use of an adhesive anchor system to fasten repair plates to precast members. Typically, the repair plate will experience elevated ... -
Machine Learning based Predictive Modeling of Stochastic Systems
(2023)Complex signals are ubiquitous in our daily lives, and interpreting and modeling them is vital for scientific advancement. Traditional methods for predictive modeling of complex signals include statistical signal processing ... -
Measuring Level of Degradation in Power Semiconductor Devices using Emerging Techniques
(2021)High thermal and electrical stress, over a period of time tends to deteriorate the health of power electronic switches. Being a key element in any high-power converter systems, power switches such as insulated-gate bipolar ... -
Modeling Pressurized Stairwells with Open Doors
(University of Missouri -- Kansas City, 2019)Stairwells are essential to occupant exiting from tall (high-rise) buildings. In order to maintain tenable environments in the stairwells, modeling building and fire codes allow the use of a stair pressurization system ... -
Multi-hazard resilience assessment of river-crossing bridges
(2021)Bridge structures are required to possess high reliability and robustness against the concurrent effect of extreme loads and environmental attacks. To achieve such interrelated goals, it is necessary to assess the system ... -
Musculoskeletal Modeling of The Human Elbow Joint
(University of Missouri--Kansas City, 2017)Comprehensive knowledge of the in vivo loading of elbow structures is essential in understanding the biomechanical causes associated with elbow diseases and injuries, and to find appropriate treatment. Currently, in ... -
Ontology-based methods for disease similarity estimation and drug repositioning
(University of Missouri--Kansas City, 2012-10-02)Human genome sequencing and new biological data generation techniques have provided an opportunity to uncover mechanisms in human disease. Using gene-disease data, recent research has increasingly shown that many seemingly ... -
Predictive Thermal Modeling and 3E Analysis of Solar Water Heating Systems: Employing A Hybrid Lattice Boltzmann Based Method and Experimental Investigation
(2023)Today, solar energy is one of the most prevalent forms of renewable energy being used and will come to play one of the most significant roles in meeting future energy demands, which is expected to increase to 34000 PJ by ... -
RUPEE: A Big Data Approach to Indexing and Searching Protein Structures
(2021)Given the close relationship between protein structure and function, protein structure searches have long played an established role in bioinformatics. Despite their maturity, existing protein structure searches either ... -
Sequential Designs with Application in Software Engineering
(2014-03-31)Presented here is a Bayesian approach to test case allocation in the software reliability estimation. Bayesian analysis allows us to update our beliefs about the reliability of a particular partition as we test, and thus, ...