Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Electrical and Computer Engineering (2203)
- Aerospace Engineering (1772)
- Mechanical Engineering (1702)
- Civil and Environmental Engineering (1334)
- Operations Research, Systems Engineering and Industrial Engineering (1286)
-
- Physical Sciences and Mathematics (1118)
- Computer Engineering (730)
- Operational Research (598)
- Chemical Engineering (533)
- Biomedical Engineering and Bioengineering (527)
- Computer Sciences (503)
- Materials Science and Engineering (430)
- Signal Processing (427)
- Aviation (412)
- Electrical and Electronics (403)
- Civil Engineering (292)
- Business (282)
- Physics (252)
- Systems Engineering (247)
- Construction Engineering and Management (241)
- Navigation, Guidance, Control and Dynamics (233)
- Environmental Engineering (222)
- Other Operations Research, Systems Engineering and Industrial Engineering (218)
- Nuclear Engineering (208)
- Engineering Science and Materials (202)
- Aerodynamics and Fluid Mechanics (189)
- Digital Communications and Networking (180)
- Electromagnetics and Photonics (167)
- Space Vehicles (165)
- Institution
-
- Air Force Institute of Technology (5086)
- Brigham Young University (2410)
- University of South Carolina (1055)
- Virginia Commonwealth University (693)
- Florida Institute of Technology (689)
-
- Rowan University (359)
- University of Texas Rio Grande Valley (320)
- Mississippi State University (261)
- American University in Cairo (212)
- University of Arkansas Little Rock (134)
- SASTRA Deemed to be University (129)
- University for Business and Technology in Kosovo (110)
- University of North Dakota (16)
- Illinois State University (12)
- Columbus State University (11)
- City University of New York (CUNY) (4)
- Nova Southeastern University (1)
- Pepperdine University (1)
- Keyword
-
- #antcenter (293)
- Machine learning (126)
- Optimization (124)
- #csra (106)
- FPGA (94)
-
- Simulation (80)
- Machine Learning (79)
- Additive manufacturing (72)
- Modeling (71)
- UAV (69)
- Applied sciences (64)
- Computer vision (64)
- Global Positioning System (63)
- Image processing (62)
- Remote sensing (59)
- Deep learning (55)
- Algorithms (53)
- Kalman filtering (51)
- Microelectromechanical systems (51)
- Decision making (50)
- Flight control (48)
- Drone aircraft (47)
- Target acquisition (47)
- #afcec (46)
- Compliant mechanisms (46)
- Synthetic aperture radar (46)
- Composite materials (45)
- Signal processing (45)
- Engineering, Chemical Engineering (44)
- Finite element analysis (44)
- Publication Year
Articles 1621 - 1650 of 11503
Full-Text Articles in Engineering
Graphene-Conductive Ink Coated Laser Engraved Kapton Electrochemical Biosensor For The Detection Of Dopamine And Immune Sensing, Dipannita Ghosh
Graphene-Conductive Ink Coated Laser Engraved Kapton Electrochemical Biosensor For The Detection Of Dopamine And Immune Sensing, Dipannita Ghosh
Theses and Dissertations
Novel and flexible disposable laser-engraved Kapton (LEK) electrodes modified with graphene conductive inks have been developed for dopamine and Interleukin-6 (IL-6) detection. The LEK sensors exhibit high reproducibility (RSD=0.76%, N=5) and stability (RSD=4.39%, N=15)after multiple bendings, and thus make the sensors ideal for wearable and stretchable bioelectronics applications. We have developed graphene conductive ink- PEDOT:PSS (G-PEDOT:PSS) and polyaniline (G-PANI) based electrode coatings for working electrode modification to improve the sensitivity (41.41 times higher for screen printed electrode with G-PEDPT:PSS ink modification),and limit of detection (LOD) . We have further compared the performance of the fabricated electrodes with commercially available screen-printed …
Developing Executable Digital Models With Model-Based Systems Engineering – An Unmanned Aerial Vehicle Surveillance Scenario Example, Viviana Guadalupe Lopez
Developing Executable Digital Models With Model-Based Systems Engineering – An Unmanned Aerial Vehicle Surveillance Scenario Example, Viviana Guadalupe Lopez
Theses and Dissertations
There is an increase in complexity in modern systems that causes inconsistencies in the iterative exchange loops of the system design process and in turn, demands greater quality of system organization and optimization techniques. A recent transition from document-centric systems engineering to Model-Based Systems Engineering (MBSE) is being documented in literature from various industries to address these issues. This study aims to investigate how MBSE can be used as a starting point in developing digital twins (DT). Specifically, the adoption of MBSE for realizing DT has been investigated, resulting in various literature reviews that indicate the most prevalent methodologies and …
Monitoring Of Ac Motors Parameters Using Industrial Internet Of Things, Mohammad Muheisen
Monitoring Of Ac Motors Parameters Using Industrial Internet Of Things, Mohammad Muheisen
Theses and Dissertations
In this thesis, the industrial internet of things has been introduced, as a very newborn research field. The suggested prototype has been assembled at the university laboratory to simulate the system conditions. Two three-phase induction motors have been utilized to perform this study, to monitor and gather data, regarding vibration and temperature. As a very newborn field, the data collected from the two motors can be analyzed to achieve a couple of goals, in energy consumption, to reduce the financial burden of the remedy works. A fast Fourier transformer has been applied to measure the motor's vibrations, and the current …
Wave Excited Mass-Spring-Damper System For A Self-Recharging Autonomous Underwater Vehicle, Mahmodul Hasan Maheen
Wave Excited Mass-Spring-Damper System For A Self-Recharging Autonomous Underwater Vehicle, Mahmodul Hasan Maheen
Theses and Dissertations
Autonomous underwater vehicles' (AUVs) endurance is constrained by the lifetime of their batteries and the distance that tether wires can traverse. Solving the endurance problem of AUV using the enormous potential of ocean wave energy is the motivation behind this thesis. The objective of this research is to model a mass-spring-damper system to emulate the permanent magnet linear generator (PMLG) of a self-recharging AUV and identify its energy absorption capability through numerical simulation and experimental testing. The research activities started with modeling and fabricating a 1:5 scale model. The scaling was done by comparing the most common AUV size of …
The Effects Of Carbon Coating On The Electrochemical Performance Of Metal-Oxide Short Fiber Anodes For Lithium-Ion Batteries, David A. Sanchez
The Effects Of Carbon Coating On The Electrochemical Performance Of Metal-Oxide Short Fiber Anodes For Lithium-Ion Batteries, David A. Sanchez
Theses and Dissertations
This thesis focuses on the process of oxidizing centrifugally spun precursor fibers and the subsequent process of carbon coating via chemical vapor deposition (CVD) for use as anode material in lithium-ion batteries (LIBs). Metal oxides have been studied as a potential replacement for graphite as they have been shown to have high theoretical capacities, good electronic conductivity, and can be synthesized using low-cost, scalable methods. However, metal oxides with high theoretical capacities also have low cycle life. To avoid this, metal oxides have been integrated with carbon to expand their life cycle. The work in this thesis shows the synthesis …
Geospatial Analysis Based On Hurricane Storm Surge Scenarios On Coastal South Texas And North Mexico, Layda Belia Spor Leal
Geospatial Analysis Based On Hurricane Storm Surge Scenarios On Coastal South Texas And North Mexico, Layda Belia Spor Leal
Theses and Dissertations
The coastal area of the Lower Rio Grande Valley, Texas, and Northern Tamaulipas, Mexico, has historically faced a variety of natural disasters involving flooding hazards, such as hurricanes and tropical storms. These scenarios not only represent imminent danger for the population in the area but can lead to long term effects on the infrastructure located in the impact zone. As such, it is imperative to conduct analysis on not only the specific areas that will be affected, but the severity of flooding that can result after a catastrophic event. Modelling work that simulates the storm surge in case of various …
Development Of A Unified Personal And Commercial Residential Hurricane Vulnerability Model Including Sensitivity And Uncertainty Studies, Roberto Vicente Silva De Abreu
Development Of A Unified Personal And Commercial Residential Hurricane Vulnerability Model Including Sensitivity And Uncertainty Studies, Roberto Vicente Silva De Abreu
Theses and Dissertations
As the population and properties in the state of Florida increase, there is an increase in hurricane losses. Hurricane winds and debris can impact the exterior components of a building envelope. The envelope breaches and defects of these components provide a pathway to hurricane wind-driven rain into the building, which causes interior and contents damage. Loss models, such as the Florida Public Hurricane Loss Model (FPHLM), estimate hurricane insured losses for portfolios of buildings. The vulnerability component of the FPHLM has a personal residential module (PR), for single family homes, and a commercial residential module (CR-LR), for apartment buildings. They …
Causal Modeling Framework For Nuclear Power Plant Licensing Process, Lauren Kimberly Kiser
Causal Modeling Framework For Nuclear Power Plant Licensing Process, Lauren Kimberly Kiser
Theses and Dissertations
Interests in clean energy revived the nuclear power industry. For the first time in decades, innovative technologies and plant designs are being considered by regulatory agencies. This dissertation explores a Bayesian Network and AHP approach to causal modeling of the Combined License review process for new nuclear power plants (NPP). Historically lengthy and expensive, NPP licensing is critical to ensuring safe operation of the plants. With this comes a high standard for applicants to reach that can result in multiple revision cycles and long review times. New plant designs and fluctuating public support lead to a complex and dynamic series …
Rendezvous And Proximity Operations In Cis-Lunar Space, Khalid Jebari
Rendezvous And Proximity Operations In Cis-Lunar Space, Khalid Jebari
Theses and Dissertations
As interest in Moon exploration grows and efforts to establish an orbiting outpost intensify, accurate modeling of spacecraft dynamics in cis-lunar space is becoming increasingly important. Contrary to satellites in Low Earth Orbit (LEO) where it takes around 5 ms to communicate back and forth with a ground station, in the Moon’s orbit it can take up to 2.4 seconds to do so. This delay in communication can make the difference between a successful docking and a catastrophic collision for a remotely controlled satellite. Moreover, due to the unstable nature of trajectories in cis-lunar space, it is necessary to design …
Trajectory Energy Management For Ectol: Examination Of Battery Discharge Under Two Flight Profiles, Denner Campos Cunha
Trajectory Energy Management For Ectol: Examination Of Battery Discharge Under Two Flight Profiles, Denner Campos Cunha
Theses and Dissertations
The expanding industry of electric airplanes presents a significant regulatory challenge for aviation authorities worldwide. The first step towards achieving a precise Trajectory Energy Management (TEM) is to understand how the powertrain behaves during the operation. Therefore, this work examined the battery performance of an eCTOL, the Pipistrel Velis Electro, under two different prescribed flight profiles and take-off weights. Flight 1, a destination trip profile, was conducted with a gross weight of 1146 lbs and a constant power setting of 22 kW during the cruise segment, while Flight 2, a local training flight profile, was conducted with a gross weight …
Geometric Inference In Machine Learning: Applications Of Fisher Information For Model Selection And Other Statistical Applications, Trevor Herntier
Geometric Inference In Machine Learning: Applications Of Fisher Information For Model Selection And Other Statistical Applications, Trevor Herntier
Theses and Dissertations
We consider the problem of model selection using the Minimum Description Length (MDL) criterion for distributions with parameters on the hypersphere. Model selection algorithms aim to find a compromise between goodness of fit and model complexity. Variables often considered for complexity penalties involve number of parameters, sample size and shape of the parameter space, with the penalty term often referred to as stochastic complexity. Because Laplace approximation techniques yield inaccurate results for curved spaces, existing criteria incorrectly penalize complexity. We demonstrate how the use of a constrained Laplace approximation on the hypersphere yields a novel complexity measure that more accurately …
Characterizing Endothelial Damage During Ischemic Stroke Treatment With 3d Cerebrovascular Live Cellular And Finite Element Models, Ana Regina Martinez Dehesa
Characterizing Endothelial Damage During Ischemic Stroke Treatment With 3d Cerebrovascular Live Cellular And Finite Element Models, Ana Regina Martinez Dehesa
Theses and Dissertations
Stent retriever mechanical thrombectomy (SRMT) is part of the clinical standard-of-care for acute ischemic stroke (AIS) patients with large vessel occlusion (LVO). Endothelial injury (EI) is widely associated with SRMT. Studies report finding EI markers in over 50% of retrieved clots, suggesting the frequency of EI in MT patients is rather common. The mechanism of EI and its contribution to MT failure and clinical outcomes remain poorly understood because of a lack of techniques to observe EI and study it in vitro. This study aims to investigate the mechanisms of EI induced by SRMT, as well as the effect stent …
Flight Test Evaluation Of The B-1b Lancer For The Heavy Bomber Mission, Robert William Gates
Flight Test Evaluation Of The B-1b Lancer For The Heavy Bomber Mission, Robert William Gates
Theses and Dissertations
Copyright held by author
Waste Biomass-Derived Ultraporous Functionalized Superactivated Hydrochars For Hydrogen Storage And Carbon Capture, Al Ibtida Sultana
Waste Biomass-Derived Ultraporous Functionalized Superactivated Hydrochars For Hydrogen Storage And Carbon Capture, Al Ibtida Sultana
Theses and Dissertations
Accelerating world population and simultaneous growth in economic race has resulted in parallel rise of waste generation where the necessity of mitigating the climate change, via transitioning towards a clean energy economy and minimization of greenhouse gas from atmosphere, is in urgent need of attention. Hence, the objectives of this dissertation comprised of firstly upcycling waste biomass into low-cost and effective adsorbent material such that, secondly, its surface could be tailored by modulating its synthesis conditions (hydrothermal carbonization and chemical activation) to be developed into ultraporous and functionalized adsorption medium in order to, thirdly, assess its application as adsorbents for …
The Examination Of Factors That Influence Trust In A Multi-Agent Team Context, Cherrise Ficke
The Examination Of Factors That Influence Trust In A Multi-Agent Team Context, Cherrise Ficke
Theses and Dissertations
Current dyadic teams in the human-agent teams literature demonstrates that Propensity to Trust in Technology (PTT), previous experience with an agent, levels of autonomy (LOA), workload, and mission performance affect trust and mission performance to some capacity. However, the purpose of this study was to expand this line of research by examining how these factors influence trust and mission performance in a multi unmanned aerial vehicle (UAV) context. To investigate the relationship between these factors and trust, an archival study was conducted using data from a previously-conducted, multi-UAV study. The previous study utilized a within-subjects repeated measures design in which …
The Effect Of Biodiesel Blend Composition On Jet Aircraft Airframe Fuel System Components & Materials, Elise Aurora Medhus
The Effect Of Biodiesel Blend Composition On Jet Aircraft Airframe Fuel System Components & Materials, Elise Aurora Medhus
Theses and Dissertations
In the aviation industry, biodiesel is a clean-burning alternative to petroleum-based jet fuel and has been shown to reduce particle emissions from aircraft engines. This thesis studies the impact of biodiesel on aircraft airframe fuel system components & materials with corrosion-resistant surface treatments. The goal is to identify areas for optimization to increase the use of higher blends in jet aircraft engines to further reduce emissions. The work performed involved testing the corrosion resistance of several aluminum samples, steel samples, and non-metallic materials in numerous biodiesel blends ranging from B05 to B100. The testing method used was the Assessment of …
Modeling Of Turbulent Flow In Pipe Systems With Compound Bends, Stella Smithe
Modeling Of Turbulent Flow In Pipe Systems With Compound Bends, Stella Smithe
Theses and Dissertations
A practical CFD k-epsilon realizable model is applied to four pipe systems with various 90° bend configurations to examine velocity profile evolution and total pressure losses within the pipe systems. The pipe systems compared are a configuration with a single 90° L-bend, as well as three additional pipe configurations composed of dual 90° bends, all with total length x/D=16.7. The dual bend configurations studied are: a 180° turning U-bend, a 0° total turning S-bend, and a dual 90° out-of-plane, compound C-bend. The CFD model was benchmarked against experimental data from a straight pipe and a pipe configuration with a single …
Development Of A Pediatric Heart Assist Device Monitoring System, Natalie Hill
Development Of A Pediatric Heart Assist Device Monitoring System, Natalie Hill
Theses and Dissertations
Heart failure (HF) is one of the leading causes of deaths for adults worldwide, but has disproportionately significant effects on pediatric patients that are often overshadowed. Treatment options for pediatric patients with HF are extremely limited, resulting in increased mortality rates within hospitals. Patients often depend on ventricular assist device (VAD) support as a bridge to transplant. The Berlin Heart EXCOR is the only FDA approved device for pediatric use in the US. However, many hemodynamic and neurological complications continue to arise; for instance, up to 30% of EXCOR patients suffer from stroke. Currently, there is no effective way to …
Development Of A Customizable Framework For Data Driven Hemodynamic Analysis With Applications In Neurovascular And Cardiovascular Scenarios, Rachel Mae Hillner
Development Of A Customizable Framework For Data Driven Hemodynamic Analysis With Applications In Neurovascular And Cardiovascular Scenarios, Rachel Mae Hillner
Theses and Dissertations
Cardiovascular disease, including but not limited to heart failure and aneurysms, remain a leading cause of death worldwide. Persons over the age of 40 experience upwards of a 20% chance of developing heart failure in their lifetime. With a decrease in viable donor hearts, the reliance on mechanical heart assist devices is on the rise. However, such devices are not without their complications. Specifically, for left heart failure, a common treat, the left ventricular assist device, is characterized by clotting, stroke, and low survival rates as a result. Many studies suggest that such unfavorable results are correlated to adverse hemodynamic …
Disaster Resilience In Air Traffic Control: Recovery Of Airspace Activity At U.S. Primary Airports That Experience A Catastrophic Hurricane, Victoria Thorpe
Disaster Resilience In Air Traffic Control: Recovery Of Airspace Activity At U.S. Primary Airports That Experience A Catastrophic Hurricane, Victoria Thorpe
Theses and Dissertations
The purpose of this study was to investigate the relationship between U.S. airport characteristics, hurricane strength, and hurricane proximity and the time it takes airspace activity to recover to normal after experiencing a catastrophic hurricane. It determined the relative influence of five airport characteristics and two hurricane characteristics as predictors of time for airspace activity to recover to normal. The result is a predictive airport disaster resilience equation to estimate the expected airport recovery rate for a forecasted catastrophic hurricane. This supports expectation management for aviation practitioners. This is significant for air traffic controllers because post-hurricane airspace is unpredictable, demanding, …
Climb Performance Testing Of The Pa-28-180 Utilizing Saw-Tooth Method And Level Acceleration Method, Paige Elizabeth Christensen
Climb Performance Testing Of The Pa-28-180 Utilizing Saw-Tooth Method And Level Acceleration Method, Paige Elizabeth Christensen
Theses and Dissertations
This thesis details the test methods, data reduction methods, and flight data analysis conducted in the climb performance evaluation of the PA-28-180 “Piper Arrow.” The main objective of this thesis was to quantitatively compare the climb performance requirements detailed in the former regulation, CAR 3.85a to the current regulation, 14 CFR 23.2120, utilizing Saw-Tooth steady climb method conducted at various airspeeds. The report also evaluates the Level Acceleration method at reciprocating headings, and qualitatively assesses the usefulness of testing multiple headings on a general aviation aircraft at multiple altitudes. The Saw-Tooth Climb and Level Acceleration flights were conducted on January …
The Synthesis And Characterization Of Metal Oxide Nanomaterial-Based Composites And Their Use As Antibacterial Agents, Jo A. Sanchez
The Synthesis And Characterization Of Metal Oxide Nanomaterial-Based Composites And Their Use As Antibacterial Agents, Jo A. Sanchez
Theses and Dissertations
The work presented in this thesis discusses the antibacterial properties of various metal oxides and metal oxide/polymer composite fibers. Polyvinylpyrrolidone (PVP) fibers embedded with Zinc Oxide nanoparticles (ZnO NPs) were prepared by centrifugal spinning from PVP aqueous solutions) and ZnO NPs. The ZnO NPs were synthesized and coated with different surfactants, cetyltrimethylammonium bromide (CTAB) and hexadecyltrimethylammonium bromide (HTAB). The effect of surfactant coating on the antibacterial activity of ZnO NPs and PVP/ZnO nanocomposite fibers against escherichia coli (e. coli) and bacillus megaterium (b. megaterium) bacteria was systematically investigated. The results showed that coating the ZnO NPs …
Piezoresistivity Of Electrically Conductive Asphalt Concrete, Mateo Schmit Mendoza
Piezoresistivity Of Electrically Conductive Asphalt Concrete, Mateo Schmit Mendoza
Theses and Dissertations
Electrically conductive asphalt concrete is considered as a multifunctional construction material due to its structural and non-structural functions. This study aims to investigate piezoresistivity of conductive asphalt concrete. Piezoresistivity is an electrical property of some materials which electrical resistivity changes with induced strain and subsequently, it has the potential for self-sensing smart technology. Graphite Powder F-516 with various contents was added into the asphalt mixtures to impart the electrical conductivity. Electrochemical impedance spectroscopy (EIS) was selected to measure the electrical properties of the specimens in dry and wet conditions, and low and high temperatures. The impedance measurement shows that the …
Near-Optimal Control Of A Quadcopter Using Reinforcement Learning, Alberto Velazquez-Estrada
Near-Optimal Control Of A Quadcopter Using Reinforcement Learning, Alberto Velazquez-Estrada
Theses and Dissertations
This paper presents a novel control method for quadcopters that achieves near-optimal tracking control for input-affine nonlinear quadcopter dynamics. The method uses a reinforcement learning algorithm called Single Network Adaptive Critics (SNAC), which approximates a solution to the discrete-time Hamilton-Jacobi-Bellman (DT-HJB) equation using a single neural network trained offline. The control method involves two SNAC controllers, with the outer loop controlling the linear position and velocities (position control) and the inner loop controlling the angular position and velocities (attitude control). The resulting quadcopter controller provides optimal feedback control and tracks a trajectory for an infinite-horizon, and it is compared with …
Improving The Learning Efficiency Of Adaptive Optimal Control In Information-Limited Environments, Omar Ghassan Qasem
Improving The Learning Efficiency Of Adaptive Optimal Control In Information-Limited Environments, Omar Ghassan Qasem
Theses and Dissertations
This work investigates the adaptive optimal control problems for continuous-time linear and nonlinear systems. A novel adaptive dynamic programming method, namely hybrid iteration (HI) is presented. Different from the existing adaptive dynamic programming methods, i.e., policy iteration (PI) and value iteration (VI), the HI does not require an initial admissible control policy compared to the PI. On the other hand, the HI converges to the optimal control policy in much less learning iterations and CPU time compared to the VI due to the ensured quadratic rate of convergence of the HI method, which is much faster than the sub-linear convergence …
Preferences Toward Augmented Reality Technologies For Pedestrian Navigation, Victoria Alejandra Diaz Mejia
Preferences Toward Augmented Reality Technologies For Pedestrian Navigation, Victoria Alejandra Diaz Mejia
Theses and Dissertations
This research investigates the demand for pedestrian navigation supported by augmented reality (AR) via headset and mobile technologies by evaluating factors specific to each technology and the decision makers. Recent advances in digital engineering systems, e.g., digital twins and smart cities, are enabling new services like AR-supported wayfinding for pedestrians. Still, it is unknown whether American pedestrians would use AR, the type devices and feature that add value to their navigation, the demographic profiles more inclined to AR wayfinding, and the sensitivity of such demand to software and hardware cost. As the first investigation addressing the demand for AR pedestrian …
Understanding The Effectiveness Between Modern Technologies And Traditional Training Methods Of E-Learning On An Individual’S Learning Curve, Content Retention, And Satisfaction, Andressa Camacho Ortiz
Understanding The Effectiveness Between Modern Technologies And Traditional Training Methods Of E-Learning On An Individual’S Learning Curve, Content Retention, And Satisfaction, Andressa Camacho Ortiz
Theses and Dissertations
E-learning has become a widespread and valuable tool for skill development. After the COVID-19 pandemic, the necessity and adaptability of this method increased drastically. Hence, numerous studies focused on understanding the effectiveness of this method. The academic literature highlights the need to explore alternative solutions that can increase a learner’s content retention and satisfaction when learning remotely. Modern technologies can be a great solution for this need with the correct application and development. This thesis analyzes the effects of technology on content retention, satisfaction, and learning curve through the following technologies: online platform, virtual reality (VR), and hologram display. A …
Cfis’ Safety Behaviors At Flight Training Schools: Understanding The Effects Of Personality Traits, Self-Efficacy, Risk Perception, And Safety Climate, Vivek Sharma
Theses and Dissertations
The purpose of the current study was to investigate the relationship between personality traits, affective domain variables, safety climate, and safety behaviors of certified flight instructors (CFIs). Personality traits consisted of the five dimensions of the Big Five personality model, including Extraversion, Neuroticism, Agreeableness, Openness, and Conscientiousness. Affective domain variables included self-efficacy and risk perception. The study used an explanatory correlational design to determine the relationship between the targeted factors and safety behaviors. The dependent variable was CFIs’ safety behaviors. The sample consisted of 134 CFIs who completed all of the study’s protocols. Participants were obtained from a professional flight …
Empirical Evaluation Of A Novel Spatial Disorientation Induction Strategy, Michaela Cathlin Satter
Empirical Evaluation Of A Novel Spatial Disorientation Induction Strategy, Michaela Cathlin Satter
Theses and Dissertations
It is estimated that spatial disorientation-related accidents account for roughly 33% of all aviation mishaps with a 90% fatality rate (Gibb et al., 2011). Research meant to establish common practices and standardization of spatial disorientation (SD) training is needed to work toward decreasing this staggering statistic. The current study investigated the viability of a novel SD Induction Strategy that combined rotation about the vertical axis, visual cue input from a wireless virtual reality (VR) head mounted display (HMD) flight environment, and tactile input from a wireless joystick controller. To assess this combination’s effectiveness, Bank situation awareness (SA) and Pitch SA, …
Accident Investigation On In-Flight Loss Of Control Due To Configuration Change On Piper Arrow, Basilio Caruso
Accident Investigation On In-Flight Loss Of Control Due To Configuration Change On Piper Arrow, Basilio Caruso
Theses and Dissertations
Between 2012 and 2021, NTSB has identified over 2200 accidents due to loss of control. The majority of which happened while flying in the pattern. The most challenging phase of a flight is the take-off and landing. During these phases, the pilot initiates a change of configuration of the airplane by lowering or retracting the flaps. Lowering the flaps slows down the plane and increases the lift of the wing but also changes the longitudinal free response of the aircraft. The pitch changes of the plane require the pilot to promptly compensate to keep straight and level flight and avoid …