Engineering Commons^™

Implementation Of Algorithms For Sorting By Strip Swaps Using Alternating Cycle Graphs, Harsh S. Bhakharia

UNF Graduate Theses and Dissertations

Challenges in computational biology, such as genome rearrangement, and applications in optical character recognition, like zoning techniques, often require solving optimization problems. These involve reordering scrambled sequences of numbers into a sequential arrangement known as the identity permutation.

Rearranging any given permutation into the identity permutation with the minimum number of specific operations related to strips gives rise to various combinatorial optimization scenarios. Operations such as strip moves, transpositions, reversals, and block interchanges have been extensively researched.

This thesis builds on the foundational work of Roy et al., targeting the refinement of their cycle graph algorithm for sorting by strip …

Spatial Equity In Accessing Critical Facilities During Hurricanes, Pooya Komeilian

UNF Graduate Theses and Dissertations

Florida encounters multiple natural disasters every year, making evacuation a critical mitigation plan when severe impacts are predicted. Evacuation is a complex procedure that involves everything from household decision-making to large-scale traffic network analysis. It also addresses logistical issues, such as transporting impacted people to shelters or medical centers. Access to shelters, gas stations, and lodgings is of utmost importance, as numerous studies and surveys have shown that some people prefer not to evacuate, even if they perceive the disaster risk to be very high.

Based on this, the present study follows two phases to address gaps in evacuation studies. …

Integrating Therapy Into Play: Stand-On Ride-On For A Child With Cerebral Palsy, Kira Flanagan

UNF Graduate Theses and Dissertations

This study focuses on the development of an adaptive ride-on toy specifically designed for a 2.5-year-old child with spastic diplegic cerebral palsy. As a feasibility study, the primary objective of this innovative device is to enhance motor function, foster autonomy, and improve the overall quality of life for the child. The Power Mobility Device (PMD) integrates actuation and steering modifications, and a harness mechanism tailored to meet the child's unique needs. Comprehensive assessments of the child's spatiotemporal gait characteristics were conducted before and after a three-month usage period. The results reveal significant improvements in the child's ability to control dynamic …

An Analysis Of Precision: Occlusion And Perspective Geometry’S Role In 6d Pose Estimation, Jeffrey Choate, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert Kabban

Faculty Publications

Achieving precise 6 degrees of freedom (6D) pose estimation of rigid objects from color images is a critical challenge with wide-ranging applications in robotics and close-contact aircraft operations. This study investigates key techniques in the application of YOLOv5 object detection convolutional neural network (CNN) for 6D pose localization of aircraft using only color imagery. Traditional object detection labeling methods suffer from inaccuracies due to perspective geometry and being limited to visible key points. This research demonstrates that with precise labeling, a CNN can predict object features with near-pixel accuracy, effectively learning the distinct appearance of the object due to perspective …