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 2021
A Differential Game Approach for Beyond Visual Range Tactics, Eloy Garcia, David W. Casbeer, Dzong Tran, and Meir Pachter
Exploring the Effects of Congestion Charge on Relocation Decisions under Non-capital Functions Relieving Strategy in Beijing, Kexin Geng, Yacan Wang, Dick Etterma, and Jason R. Anderson
Resilience for Multi-filter All-source Navigation Framework with Integrity, Jonathon S. Gipson and Robert C. Leishman
Agile Software Development: Creating a Cost of Delay Framework for Air Force Software Factories, J. Goljan, Jonathan D. Ritschel, Scott Drylie, and Edward D. White
A High Performance Easily Configurable Satnav SDR for Advanced Algorithm Development and Rapid Capability Deployment, Sanjeev Gunawardena
ION GNSS Software-defined Radio Metadata Standard, Sanjeev Gunawardena, Thomas Pany, and James Curran
Photoinduced Trapping of Charge at Sulfur Vacancies and Copper Ions in Photorefractive Sn2P2S6 Crystals, Timothy D. Gustafson, Eric M. Golden, Elizabeth M. Scherrer, Nancy C. Giles, A. A. Grabar, Sergey A. Basun, Jonathan E. Slagle, and Larry E. Halliburton
Zn Acceptors in β-Ga2O3 Crystals, Timothy D. Gustafson, J. Jesenovec, Christopher A. Lenyk, Nancy C. Giles, J. S. McCloy, M. McCluskey, and Larry E. Halliburton
Traffic Collision Avoidance System: False Injection Viability, John Hannah, Robert F. Mills, Richard A. Dill, and Douglas D. Hodson
Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation, Russell C. Hardie, Michael A. Rucci, Santasri Bose-Pillai, and Richard Van Hook
Understanding Flow Characteristics in Metal Additive Manufacturing, Carl R. Hartsfield, Travis E. Shelton, Gregory R. Cobb, Ryan A. Kemnitz, and Joseph Weber
Hypersonic N2 boundary layer flow velocity profile measurements using FLEET, Jonathan L. Hill, Paul S. Hsu, Naibo Jiang, Stephen W. Grib, Sukesh Roy, Matthew Borg, Levi M. Thomas, Mark F. Reeder, and Stephen A. Schumaker
Optically Active Selenium Vacancies in BaGa4Se7 Crystals, Brian C. Holloway, Timothy D. Gustafson, Christopher A. Lenyk, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Kent L. Averett, and Larry E. Halliburton
Acceleration of Boltzmann Collision Integral Calculation Using Machine Learning, Ian Holloway, Aihua W. Wood, and Alexander Alekseenko
Impact of Neutron Energy on Asteroid Deflection Performance, Lansing S. Horan IV, Darren E. Holland, Megan Bruck Syal, James E. Bevins, and Joseph W. Wasem
Analysis of the Effects of Spatiotemporal Demand Data Aggregation Methods on Distance and Volume Errors, Zachary Hornberger, Bruce A. Cox, and Raymond R. Hill
Towards More Robust Vision-based Map Matching Through Machine Learning & Improved Feature Matching, Tyler Hussey, Robert C. Leishman, and David Woodburn
Independently Controlling Stochastic Field Realization Magnitude and Phase Statistics for the Construction of Novel Partially Coherent Sources, Milo W. Hyde IV
Spatiotemporal Non-uniformly Correlated Beams, Milo W. Hyde IV
Twisted Spatiotemporal Optical Vortex Random Fields, Milo W. Hyde IV
Evaporator Disturbance Rejection in Vapor Compression Cycles with a Linear Quadratic Regulator, Sunderlin D. Jackson, Anthony N. Palazotto, Meir Pachter, and Nicholas Niedbalski
Shortest Path Network Problems with Stochastic Arc Weights, Jeremy D. Jordan and Stan Uryasev
External Dose to Recovery Teams Following a Wide-area Nuclear or Radiological Release Event, Michael D. Kaminski, Keith Sanders, Katherine Kepler, Matthew Magnuson, and Jeremy M. Slagley
The Effects of Individual Differences, Non‐Stationarity, and The Importance of Data Partitioning Decisions for Training and Testing of EEG Cross‐Participant Models, Alexander J. Kamrud [*], Brett J. Borghetti, and Christine M. Schubert Kabban
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks, Alexander J. Kamrud [*], Brett J. Borghetti, Christine M. Schubert Kabban, and Michael E. Miller