What Types Of Uncertainty Emerge In Instructional Aviation Incidents?,
2027
University of Arkansas, Fayetteville
What Types Of Uncertainty Emerge In Instructional Aviation Incidents?, Abigail Henson
Mechanical Engineering Undergraduate Honors Theses
This study utilized narrative reports from the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS) database to examine the types of uncertainty present in near-miss instructional aviation incidents occurring within the United States between 2015 and 2025. The final dataset consisted of 86 reports, with each report containing a set of narrative accounts from both the student pilot and the flight instructor operating under Part 91 regulations. Each instructional event was classified using a combined framework incorporating uncertainty categorizations and the Human Factors Analysis and Classification System (HFACS). Results indicate that epistemological uncertainty was the most common …
Cascaded Pid Control Of A Passive Bio-Inspired Rotating Empennage Aircraft,
2026
Utah State University
Cascaded Pid Control Of A Passive Bio-Inspired Rotating Empennage Aircraft, Zachary T. Jenkins
All Graduate Theses and Dissertations, Fall 2023 to Present
This thesis presents an autopilot for a Bio-Inspired Rotating Empennage (BIRE) aircraft. Most airplanes control yaw using a vertical stabilizer and a moving rudder, a design that has stayed essentially unchanged for nearly a century but adds weight, drag, and surface area to the aircraft. The BIRE removes the vertical tail entirely and instead allows the horizontal tail to rotate about the body x-axis of the airplane; tilting the horizontal tail produces a yaw force, doing the job of a rudder. This thesis first develops a controller for the BIRE where the empennage angle is commanded directly, then extends …
Flight System Development For A Bio-Inspired Rotating Empennage Experimental Unmanned Aerial Vehicle,
2026
Utah State University
Flight System Development For A Bio-Inspired Rotating Empennage Experimental Unmanned Aerial Vehicle, Ashton Gilbert
All Graduate Theses and Dissertations, Fall 2023 to Present
Unmanned aerial systems, commonly known as drones, are increasingly used for research, environmental monitoring, and testing new aircraft concepts. Many commercially available drone flight controllers work well for standard aircraft designs, but they can be difficult to adapt for experimental vehicles that use unconventional control methods or require detailed monitoring during testing. This creates challenges for researchers who need flexible and reliable tools to safely evaluate new flight technologies. This work presents the development of a custom drone flight control system designed specifically for experimental research. The system integrates custom electronics and software that allow researchers to easily modify control …
A Data-Driven Koopman Framework For Station-Keeping On Near Rectilinear Halo Orbit,
2026
Florida Institute of Technology
A Data-Driven Koopman Framework For Station-Keeping On Near Rectilinear Halo Orbit, Anusha Sharma Malladi
Theses and Dissertations
Cislunar missions have gained significant attention in recent decades, motivating the need for efficient modeling and reliable control. In this work a Koopman operator based framework is developed for approximating the error dynamics around a reference Near Rectilinear Halo Orbit (NRHO) in the Earth-Moon Circular Restricted Three-Body Problem (CR3BP). A decoder free neural network is used to learn a lifted linear representation of the nonlinear CR3BP dynamics and a residual based approach is used to identify the corresponding control input matrix. The model is then implemented in a receding-horizon target point controller and compared with uncontrolled propagation and a State …
Developing Imitation Learning Policies By Exploring Diffusion Framework For Quadcopters,
2026
Florida Institute of Technology
Developing Imitation Learning Policies By Exploring Diffusion Framework For Quadcopters, Likith Swamireddy
Theses and Dissertations
Imitation learning offers a promising approach in developing near-optimal onboard policies for nonlinear systems, by learning from computationally expensive trajectory planners during offline training. Existing State-of-the-art methods commonly learn deterministic mappings from observations to actions by training fast neural networks to mimic the expert demonstrations, which can limit their ability to capture the action distribution, when the policy is trained on multiple possible expert commands to reach the same target, and this may lead to unsafe scenarios in the obstacle environments. To address these challenges, this study explores Diffusion Models (DMs) as a feedback controller for quadcopters that learns the …
Crushing Behavior Of Crash Boxes With Hybrid Honeycomb–Auxetic Fillers: Effects Of Architecture, Geometry, And Material Behaviors,
2026
Missouri University of Science and Technology
Crushing Behavior Of Crash Boxes With Hybrid Honeycomb–Auxetic Fillers: Effects Of Architecture, Geometry, And Material Behaviors, A. Yudhanto, A. Jusuf, L. D. Lumanauw, M. Falyanzhuri, A. Afdhal
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Additively manufactured (AM) fillers provide new opportunities to tailor the crushing response and energy absorption of thin-walled metallic crash boxes. This study presents a combined experimental–numerical investigation of hexagonal AA6063-T4 crash boxes filled with architected structures, i.e., honeycomb, auxetic-reentrant, and hybrid honeycomb–auxetic topology. The hybrid configuration, which integrates cells with positive and negative Poisson's ratios, triggers coordinated mechanisms (that enhance folding behavior and collapse control) unattainable via single topology. Quasi-static axial compression tests were conducted to characterize force–displacement curves, deformation mechanisms, energy absorption (EA), and specific energy absorption (SEA). Finite element models developed in the explicit solver LS-DYNA were employed …
Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter,
2026
Tashkent State Technical University named after Islam Karimov
Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter, Bunyod Mamurjon Ugli Buronov
Technical science and innovation
This article considers the problem of directly estimating unmeasurable external disturbances acting on a dynamic object under the condition that the state vector of the object is available for measurement. In the considered case, the problem is reduced to the estimation of an unknown input of a dynamic system. It is shown that when the system state is measurable, both a direct inversion scheme based on the object’s dynamic equation and filtering methods that eliminate the need for coarse numerical differentiation can be applied. For slowly varying disturbances, a random walk model with a small process noise covariance is proposed, …
Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources,
2026
Bukhara State Technical University, Bukhara city
Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources, Makhsud Idrisovich Makhmudov, Uktam Farkhodovich Mamirov, Siroj Sobirovich Nurov
Technical science and innovation
This paper presents the results of evaluating the metrological characteristics of a developed ultrasonic flowmeter intended for measuring water flow in open channels. The study analyzes the main sources of measurement errors and classifies them into methodological, instrumental, additional, systematic, and random components. Experimental investigations were carried out to estimate the random and systematic errors under steady-state flow conditions. Using the least-squares method, the systematic error was separated into additive and multiplicative components, providing a basis for calibration and correction of the measurement results. The reliability of the developed measuring instrument was evaluated using the failure rate method based on …
Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements,
2026
Tashkent State Technical University named after Islam Karimov
Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements, Lazizbek Furkatjanovich Saidoripov, Barat Makhmudovich Akhmedov
Technical science and innovation
A methodology is presented for evaluating the uncertainty of liquid petroleum product level measurements using laser level meters based on different measurands’ informative parameters: propagation time, phase difference, and image coordinates. Based on analytical expressions for error components and a traceability chain to the national length standard, calculated uncertainty budgets are developed in accordance with JCGM 100 for time-of-flight, phase-based, and laser–television level meters. Under the assumed input conditions, the expanded uncertainties (k = 2) are 1.66, 0.73, and 1.02 mm, respectively. For the laser–television level meter budget, the Gaussian approximation is verified using the Monte Carlo method (JCGM 101): …
Satellite-Based Detection And Preliminary Flux Estimation Of The 2024 Boysun Methane Blowout Event In Uzbekistan,
2026
Astronomical Institute of the Academy of Sciences of the Republic of Uzbekistan, National university of Uzbekistan named after Mirzo Ulugbek, Tashkent
Satellite-Based Detection And Preliminary Flux Estimation Of The 2024 Boysun Methane Blowout Event In Uzbekistan, Shomurod Bakhtiyor Ugli Turaev, Dilbar Shamurodovna Fazilova, Aziz Nigmanovich Kazakov
Technical science and innovation
Estimating accidental methane emissions from gas fields remains a difficult task, especially in remote mountainous areas where continuous ground-based observations are not available. This study examines the uncontrolled gas blowout that occurred in 2024 at the “Mustaqillikning 25-yilligi” gas-condensate field in Boysun district, Uzbekistan. Changes in methane content were analyzed using Sentinel-5P TROPOMI data for August–November 2024, processed in Google Earth Engine (GEE). The location of the accident site was refined using Sentinel-2 optical imagery, while ERA5 wind speed and direction data were applied for the preliminary calculation of methane flux. Based on the XCH₄ time series, four stages of …
Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty,
2026
Tashkent State Technical University named after Islam Karimov
Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty, Azizbek Nodirbekovich Yusupbekov, Marufjon Kobuljonovich Shodiev, Khusniddin Mamarasul Ugli Esonov
Technical science and innovation
This section proposes a multi-criteria Pareto-optimization algorithm, integrated with Herbert Simon's four-stage decision-making scheme (Intelligence–Design–Choice–Implementation) and an ANFIS-based adaptive controller, for simultaneously optimizing the mutually conflicting quality, energy, and time criteria of the wheat-drying process. The algorithm for constructing the set of Pareto-optimal solutions and selecting the compromise solution closest to the ideal point is presented step by step. The implementation of the ANFIS controller in the MATLAB/Simulink environment is comprehensively verified through a simulation block diagram, the Rule Viewer, the Surface Viewer, the training error-function graph, the RMSE convergence graph, and a learning-curve analysis. Training was carried out on …
Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models,
2026
Scientific Innovation Center for Information and Communication Technologies (SIC ICT) at the Tashkent University of Information Technologies, Tashkent city
Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models, Mirkhalil Agzamovich Ismailov, Boburbek Zokirjon Ugli Mannobjonov
Technical science and innovation
This paper presents the development and investigation of hybrid neural network and fuzzy models for the mathematical modelling of nitrification and denitrification processes in a biological wastewater treatment bioreactor. A comprehensive approach is proposed, integrating a mechanistic model of the ASM1/ASM2d type with neural networks (LSTM and Gaussian Process Regression), as well as a fuzzy control system based on an extended set of expert rules. A digital twin of the bioreactor was developed to allow for the prediction of the dynamic behavior of key parameters such as NH₄⁺, NO₃⁻, dissolved oxygen, etc. within a prediction range of 1 to 12 …
Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator,
2026
Educational Institution "Belarusian State Agrarian Technical University"
Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator, Hanna Borisovna Torgan, Zulfiya Kakhramonovna Ergasheva
Technical science and innovation
The article presents the results of experimental studies on the rheological properties of pasta dough obtained from various types of wheat flour (bakery highest grade, as well as durum varieties of Belarusian selection). The regularities of changes in the yield shear stress, plastic viscosity, and shear rate of the semi-finished product were studied depending on the key technological factors of extrusion: moisture content (0.28–0.335 kg/kg), temperature (25–55 °C), and discharge pressure (up to 88 · 10-5 Pa). The operating principle and design features of the modernized pressing unit and die using special converging-diverging (confuser-diffuser) inserts (according to the patents …
Research On The Effectiveness Of Various Methods For Primary Processing Of Silkworm Cocoons,
2026
Tashkent State Technical University named after Islam Karimov
Research On The Effectiveness Of Various Methods For Primary Processing Of Silkworm Cocoons, Doston Ishmukhammat Ugli Samandarov
Technical science and innovation
This article presents the results of experimental studies of the primary processing (killing) of silkworm pupae using existing technological methods, as well as three different combinations of infrared (IR) and ultrasound (US). A series of pilot studies was conducted in the laboratory of the Department of Service Technology at Tashkent State Technical University on nine cocoon samples using existing technological equipment and an experimental setup developed under project AL-8724053050 and based on the combined effects of infrared radiation and ultrasound. A comparative evaluation of the studied processing methods was conducted based on the degree of pupal killing, moth hatching, process …
Data From: Physics-Data-Hybrid Modeling And Control For Vtol Aircraft,
2026
Utah State University
Data From: Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton
Browse all Datasets
The skeleton code corresponding to many of the results from the dissertation "Physics-Data-Hybrid Modeling and Control for VTOL Aircraft" By Samantha Dawn Burton.
Increasing The Density Value Of Composite Propellant Ap/Htpb/Al For Rocket Performance Using The Sphere Packing Model,
2026
Department of Physics, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok 16424, Indonesia
Increasing The Density Value Of Composite Propellant Ap/Htpb/Al For Rocket Performance Using The Sphere Packing Model, Muhammad Iqbal Alfikri, Bayu Prianto, Ariadne Lakshmidevi Juwono
Makara Journal of Science
This research employs the sphere packing volume (SPV) model to optimize the density of composite propellants thereby enhancing rocket performance. We systematically varied the diameters of spherical ammonium perchlorate (AP) particles (50 and 400 µm) and aluminum powder (Al) particles (10 and 30 µm). These particles were incorporated at an ideal AP:Al ratio of 4:1 into a matrix of hydroxyl-terminated polybutadiene and toluene diisocyanate. By adjusting the AP ratio for each Al particle size and considering theoretical and tap densities, we precisely calculated the SPV value for each composition. The composition with the highest SPV value yielded remarkable results. This …
Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653],
2026
Missouri University of Science and Technology
Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield
Engineering Management and Systems Engineering Faculty Research & Creative Works
This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal (https://www.elsevier.com/about/policies-and-standards/article-withdrawal). This article has been retracted at the request of the Editor.
Application Of Machine Learning To Discover Dynamical Structures In 4d Poincaré Maps In The Circular Restricted Three-Body Problem,
2026
Air Force Institute of Technology
Application Of Machine Learning To Discover Dynamical Structures In 4d Poincaré Maps In The Circular Restricted Three-Body Problem, Kevin M. Trigg, Daniel J. Broyles, Robert A. Bettinger, Tyler J. Kapolka
Faculty Publications
The spatial Circular Restricted Three-Body Problem (CR3BP) produces complex orbital dynamics that are difficult to classify at scale using traditional, manual Poincaré map analysis. A Poincaré map simplifies continuous orbital motion by recording the points where a trajectory intersects a chosen surface in phase space, converting a continuous path into a discrete set of crossings that reveal underlying topological structure. These crossings make it easier to characterize trajectory behavior, but interpreting them visually becomes impractical for large datasets and as Poincaré maps evolve from two into four dimensions. To address this challenge, an unsupervised clustering pipeline for discovering dynamical structures …
The Evolution Of Reliability Methods For Nondestructive Evaluation (Nde): From Probability Of Detection (Pod) Conception To Contemporary Practices,
2026
Air Force Research Laboratory
The Evolution Of Reliability Methods For Nondestructive Evaluation (Nde): From Probability Of Detection (Pod) Conception To Contemporary Practices, Christine E. Knott, Jennifer Brown, John Aldrin, Christine M. Schubert Kabban
Faculty Publications
Nondestructive evaluation (NDE) methods are powerful tools for detecting and characterizing flaws in structural components, but their reliability must be evaluated before they can be used in critical applications. For more than 50 years, probabilistic and statistical methods have been used effectively to estimate reliability by describing an NDE system’s Probability of Detection (POD) for flaws of realistic sizes. The POD methods used by the USAF and NASA, like Hit/Miss, Signal-Response (â vs. a), and Point Estimate method (PEM, a.k.a. 29/29) have evolved, alongside newer approaches like Limited Sample POD (LS-POD) method, and Model Assisted Probability of Detection …
Notes For The Contributors,
2026
University of Nebraska at Omaha
