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

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Electromagnetic Multi–Gaussian Speckle, Milo W. Hyde IV and Olga Korotkova

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Pseudo-modal Expansions for Generating Random Electromagnetic Beams, Milo W. Hyde IV and Olga Korotkova

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Pulse-quality Metric for Nonstationary Partially Coherent Fields, Milo W. Hyde IV, Olga Korotkova, and Mark F. Spencer

Relative Magnetic Position and Rotation Sensor Assisted Dual Foot Pedestrian Dead Reckoning, Jenario Johnson and Clark N. Taylor

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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

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Improving Data-Driven Infrastructure Degradation Forecast Skill with Stepwise Asset Condition Prediction Models, Kurt R. Lamm, Justin D. Delorit, Michael N. Grussing, and Steven J. Schuldt

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MADFAM: MicroArchitectural Data Framework and Methodology, Tor J. Langehaug [*], Scott R. Graham, Christine M. Schubert Kabban, and Brett J. Borghetti

Modeling Sea Level Rise at Tyndall AFB, Jedidiah R. Langlois [*] and Christopher M. Chini

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Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes, Joshua Lapso and Gilbert L. Peterson

Accurate Magnetic Field Compensation in Large Platform Fields, Frederic Lathrop, Clark N. Taylor, and Aaron Nielsen

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Defending Small Satellites from Malicious Cybersecurity Threats, Banks Lin, Wayne C. Henry, and Richard Dill

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Formal Definitions of Conservative Probability Distribution Functions (PDFs), Shane Lubold and Clark N. Taylor

Observation of Temperature-dependent Heavy- and Light-hole Split Direct Bandgap and Tensile Strain from Ge0.985Sn0.015 using Photoreflectance Spectroscopy, Shane Lubold and Clark N. Taylor

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A Statistical Method to Optimize the Chemical Etching Process of Zinc Oxide Thin Films, David D. Lynes, Hengky Chandrahalim, Justin M. Brown, Karanvir Singh, Kyle T. Bodily, and Kevin D. Leedy

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Thermo-fluidic Transport Process in a Novel M-shaped Cavity Packed with Non-Darcian Porous Medium and Hybrid Nanofluid: Application of Artificial Neural Network (ANN), Dipak Kumar Mandal, Nirmalendu Biswas, Nirmal K. Manna, Dilip Kumar Gayen, Rama S. R. Gorla, and Ali J. Chamkha

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Transportation Service Level Impact on Aircraft Availability, Vincent McLean and Adam D. Reiman

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Lessons Learned in Human-Artificial Intelligence Teaming in Business Processes, Michael J. Mendenhall, Gilbert L. Peterson, Alexander L. Graves, and Jonathan W. Butler

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Toward Digital Twin Development for Additively Manufactured Turbine Blades with Experimental and Analytical Methods, Daniel Miller, Ryan A. Kemnitz, Ramana Grandhi, and Luke Sheridan

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A Unified View of a Human Digital Twin, Michael Miller and Emily Spatz

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Active 2D-DNA Fingerprinting of WirelessHART Adapters to Ensure Operational Integrity in Industrial Systems, Willie H. Mims, Michael A. Temple, and Robert F. Mills

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Contested Agile Combat Employment: A Site-Selection Methodology, Zachary T. Moer, Christopher M. Chini, Peter P. Feng, and Steven J. Schuldt

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Impact of Operational and Restoration Interdependencies on Cost and Disruptive Effect in Multilayered Infrastructure Networks, Brigham A. Moore, Steven J. Schuldt, Ramana Grandhi, and David R. Jacques

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Forecasting Country Conflict Using Statistical Learning Methods, Sarah Neumann, Darryl K. Ahner, and Raymond R. Hill

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Accounting for Magnetic Anomaly Map Artifacts in Magnetic Navigators, Aaron P. Nielsen, Jeremy Gray, and Jonnathan D. Bonifaz

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Digital-holography Efficiency Measurements using a Heterodyne-pulsed Configuration, Steven A. Owens, Mark F. Spencer, and Glen P. Perram