This collection on AFIT Scholar presents scholarly works of the faculty of the Air Force Institute of Technology
The Faculty Publications collection accepts scholarly works that are developed under the auspices of AFIT, and accepted for publication in a journal, or for presentation at a conference. All submissions should be approved for public release before submitting to AFIT Scholar
Secondary materials may be submitted along with an article or conference paper, for the purpose of experimental result repeatability.
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Submissions from 2022
Delaunay Walk for Fast Nearest Neighbor: Accelerating Correspondence Matching for ICP, James D. Anderson, Ryan M. Raettig, Joshua Larson, Clark N. Taylor, and Thomas Wischgoll
Magneto-Exothermic Catalytic Chemical Reaction along a Curved Surface, Muhammad Ashraf, Uzma Ahmad, Saqib Zia, Rama S. R. Gorla, Amnah S. Al-Johani, Ilyas Khan, and Mulugeta Andualem
Improving on Atmospheric Turbulence Profiles Derived from Dual Beacon Hartmann Turbulence Sensor Measurements, Alexander S. Boeckenstedt, Jack E. McCrae, Santasri Bose-Pillai, and Benjamin Wilson
Evaluating Climatic Influences on the Technical Performance of Built Infrastructure Assets, Sarah L. Brown, Steven J. Schuldt, Michael N. Grussing, Michael A. Johnson, and Justin D. Delorit
Finding the Dimension of a Non-empty Orthogonal Array Polytope, Dursun A. Bulutoglu
Utilization and Efficient Computation of Polarization Factor Q for Fast, Accurate BRDF Modeling, Samuel D. Butler and Michael A. Marciniak
Shock Front Detachment during Pulsed Laser Ablation of Graphite, Timothy I. Calver, Michael B. Shattan, and Glen P. Perram
A Comparison of Sporadic-E Occurrence Rates Using GPS Radio Occultation and Ionosonde Measurements, Rodney Carmona, Omar A. Nava, Eugene V. Dao, and Daniel J. Emmons
Noncontact liquid crystalline broadband optoacoustic sensors [U.S. Patent US11366054B2], Hengky Chandrahalim and Michael T. Dela Cruz
Closed-Loop Linear Covariance Framework for Path Planning in Static Uncertain Obstacle Fields, Randall Christensen, Greg Droge, and Robert C. Leishman
Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties, Austin Costley, Randall Christensen, Greg Droge, and Robert C. Leishman
Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory, Austin Costley, Randall Christensen, Robert C. Leishman, and Greg Droge
Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data, Kevin T. Decker and Brett J. Borghetti
Event-based Imaging Polarimeter, Michael L. Dexter and Michael R. Hawks
Infrastructure Decision-Making under Climate Change Uncertainty: Case Study of Centralized Heating at Wright-Patterson AFB, Ohio, Tyler A. Ferry, Justin D. Delorit, and Christopher M. Chini
Feasibility of Obtaining Surface Layer Moisture Flux Using an IR Thermometer, Steven T. Fiorino, Lance Todorowski, Jaclyn Schmidt, Yogendra Raut, and Jacob Margraf
A Statistical Principal Component Regression-Based Approach to Modeling the Degradative Effects of Local Climate and Traffic on Airfield Pavement Performance, Evan M. Fortney, Steven J. Schuldt, Sarah L. Brown, James P. Allen, and Justin D. Delorit
Studying the Conditions for Magnetic Reconnection in Solar Flares with and without Precursor Flares, Seth H. Garland, Daniel J. Emmons, and Robert D. Loper
Considerations for Radio Frequency Fingerprinting across Multiple Frequency Channels, Jose A. Gutierrez del Arroyo, Brett J. Borghetti, and Michael A. Temple
Development of High Density Parts in the Low-Alloy, High-Performance Steel AF9628 Using Laser Powder Bed Fusion, E. M. Hager, Ryan P. O'Hara, Gregory R. Cobb, P. J. Flater, V. Sinha, Benjamin M. Doane, and Ryan A. Kemnitz
Electromagnetic Multi–Gaussian Speckle, Milo W. Hyde IV and Olga Korotkova
Pseudo-modal Expansions for Generating Random Electromagnetic Beams, Milo W. Hyde IV and Olga Korotkova
Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data, Daniel F. Koranek, Scott R. Graham, Brett J. Borghetti, and Wayne C. Henry
MADFAM: MicroArchitectural Data Framework and Methodology, Tor J. Langehaug, Scott R. Graham, Christine M. Schubert Kabban, and Brett J. Borghetti
Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes, Joshua Lapso and Gilbert L. Peterson