Aviation Commons^™

Improved Feedback Mechanisms Of The Hydraulics Sandbox Simulator, Karen J. Johnson, Martin Hebel

National Training Aircraft Symposium (NTAS)

The proposed presentation will include the following project and results from implementation in an aircraft hydraulic systems course.

In 2020 we developed a digital hydraulics system schematic sandbox for use in an FAA Part 147 airframe maintenance technician training program (See Figure 1). The sandbox allows students to drag-drop-connect components used in systems such as those found in aircraft. It allows them to ‘test-connect’ the components to get feedback on correct and incorrect ‘construction’. As shown in Figure 1, light green ‘hoses’ are correct supply connections, dark green are correct return connections and red are incorrect connections per established rules …

Advanced Air Mobility Human Factors Considerations For Current Evtol Pilot Interfaces, Bhoomin B. Chauhan, Maria Chaparro Osman, Kendall Carmody, Meredith Carroll

Aeronautics Faculty Publications

Advanced air mobility (AAM) is a novel transportation concept using electric vertical take-off and landing (eVTOL) aircraft to move people and cargo in urban and rural environments. The emergence of AAM has led to a range of different eVTOL vehicle designs at different stages in development, flight testing, and certification. Although these aircraft will serve similar markets, they will have different operational capabilities and pilot interfaces. These aircraft vary in whether they are (a) multi-rotor and have tilt-rotor capabilities, or (b) winged with tilt-wing capabilities, vectored thrust, fans, or propellers. The pilot interfaces in eVTOL align with the concept of …

Artificial Intelligence For Automated Detection Of Large Mammals Creates Path To Upscale Drone Surveys, Javier Lenzi, Andrew Barnas, Abdelrahman A. Elsaid, Travis Desell, Robert F. Rockwell, Susan N. Ellis-Felege

Biology Faculty Publications

Imagery from drones is becoming common in wildlife research and management, but processing data efficiently remains a challenge. We developed a methodology for training a convolutional neural network model on large-scale mosaic imagery to detect and count caribou (Rangifer tarandus), compare model performance with an experienced observer and a group of naïve observers, and discuss the use of aerial imagery and automated methods for large mammal surveys. Combining images taken at 75 m and 120 m above ground level, a faster region-based convolutional neural network (Faster-RCNN) model was trained in using annotated imagery with the labels: “adult …

The Impacts Of Advanced Avionics On Degraded Visual Environments, Sultan Naseeb Harib Fairouz Mubarak, Anju Anna Jacob Dr

International Journal of Aviation, Aeronautics, and Aerospace

Degraded visual environments (DVE) such as brownout, sand storms, and night conditions are responsible for accidents and hence losses in the aviation industry. There is a need to develop avionic systems to support pilots when they encounter environmental conditions that compromise their visual capacity. This report discusses the effects of DVEs on aviation, expounds on the advanced avionic systems available and further elaborates how these systems are implemented in countering DVE conditions. The report recommends on how advanced avionics systems have been and are being implemented in aircrafts to support decisions made by pilots flying under degraded visual environments.

Accuracy Assessment Of The Ebee Using Rtk And Ppk Corrections Methods As A Function Of Distance To A Gnss Base Station, Joseph Cerreta, David Thirtyacre, Peter Miller, Scott S. Burgess, William J. Austin

International Journal of Aviation, Aeronautics, and Aerospace

The use of unmanned aircraft systems to collect data for photogrammetry models has grown significantly in recent years. The accuracy of a photogrammetric model can depend on image georeferencing. The distance from a reference base station can affect the accuracy of the results. Positioning corrections data relies on precise timing measurements of satellite signals. The signals travel through the Earth's atmosphere, which introduces errors due to ionospheric and tropospheric delays. The aim of this research was to examine the eBee X and its global GNSS accuracy by comparing the RTK and PPK methods at different base station distances in photogrammetry …

Business Process Architecture For The Integration Of Artificial Intelligence At Aerospace Organizations, Andrew Walker

International Journal of Aviation, Aeronautics, and Aerospace

Artificial intelligence's capability is rapidly increasing, and the aerospace industry must capitalize on this computing revolution. The current study conducts an integrative literature review to identify current and potential AI applications beneficial to the aerospace industry. It utilizes the findings to develop a new high-level business process architecture integrating AI in the workplace. Business process elements are extracted from the literature using logical reasoning to modify a baseline architecture model. The new model is developed to allow the integration of artificial intelligence from a holistic perspective, at the more general level of employee interaction and at the more narrow level …

Stochastic Optimization To Reduce Aircraft Taxi-In Time At Igia, New Delhi, Rajib Das, Saileswar Ghosh, Rajendra Desai, Pijus Kanti Bhuin, Stuti Agarwal

International Journal of Aviation, Aeronautics, and Aerospace

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi.

We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without …

A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and financial losses to airlines. The BiLSTM and LSTM models, powerful deep learning techniques, have shown promising results in a classification task. In this study, we collected a dataset from the United States (US) Bureau of Transportation Statistics (BTS) of flight on-time performance information and used it to train and test the BiLSTM and LSTM models. We set three criteria for selecting highly important features …

Bridgewater Magazine, Volume 33, Number 2, Fall 2023, Bridgewater State University

Bridgewater Magazine

Taking Flight: Meet BSU students and alumni from the growing Aviation Science Program. Also in this issue: Two faculty members research the lives and times of early Black and Indigenous local citizens; Faculty researchers recount details of two of the enslaved in Colonial Bridgewater; and Alumna finds career satisfaction in helping others.

Human Factors Training Implications For Urban Air Mobility Operations, Kendall Carmody, Bhoomin Chauhan, Maureen Namukasa, Vivek Sharma, Gervaughn Berkel, Yarisse Adorno, Meredith Carroll

Aeronautics Faculty Publications

Advanced air mobility (AAM), of which urban air mobility (UAM) is a subset, signifies an exciting and advanced mode of air transportation that combines novel aircraft configurations with progressive levels of automation to offer convenient and efficient modes of air transportation (Mitchell et al., 2021). The design of these innovative aircraft will utilize advanced autonomous systems and are proposed to minimize pilot training requirements and scale operations (Mathur et al., 2019; Thipphavong, 2018). Further, the operational context of UAM will be characterized by low-altitude flights, single pilot operations, unique weather phenomena such as mechanical turbulence, and novel propulsion systems. Early …

Development Of Upset Recovery And Basic Aerobatic Courses For Collegiate Flight Training Programs, Warren P. Pittorie, Michaela C. Satter, Meredith Carroll

Aeronautics Faculty Publications

Upset recovery and aerobatics are two topics in general aviation that are often overlooked by commercial pilots in training. This can be due to several different constraints, such as not having the time or resources to receive optional flight instruction, or the workload involved with locating a reputable school and qualified flight instructor. In addition, upset recovery and aerobatics training is not required to become a commercially rated pilot and start a career in the aviation industry. However, both topics, especially upset recovery, can increase a pilot’s awareness of the limitations of their own aircraft and increase their confidence when …

Key Constructs, Measures, And Considerations For Human Factors Researchers In The Advanced Air Mobility Domain, Maureen Namukasa, Meredith Carroll, Bhoomin B. Chauhan, Vivek Sharma, Kendall Carmody, Donna Wilt

Aeronautics Faculty Publications

The emergence of Advanced Air Mobility (AAM) has seen the design of new electric vertical takeoff and landing (eVTOL) aircraft that will be utilized to serve the AAM market and associated use cases. Before operations commence, aircraft manufacturers must obtain a government-issued type certificate proving that the new aircraft meets prescribed safety levels. Human factors is an important aspect of AAM certification as the proposed designs have significant changes to how pilots will interact with the aircraft. Published certification standards create an opportunity for human factors researchers to generate meaningful ties between the research being conducted in their laboratories and …

Generalizable And Adaptable Data-Driven Methods For Overcoming Barriers To Practical Industrial Condition Monitoring, Matthew B. Russell

Theses and Dissertations--Electrical and Computer Engineering

The future of smart manufacturing relies on predictive maintenance systems that intelligently minimize expensive downtime through timely assessment of machine condition. Deep Learning (DL) has achieved excellent performance in industrial condition monitoring experiments, but the constraints of the manufacturing environment prevent many algorithms from being practically deployed on the factory floor. Ubiquitous sensing from online machines generates high velocity data streams that require new techniques for efficient transmission and storage. Despite these ever-increasing data lakes, many applications still lack the data needed for training DL fault diagnosis and wear tracking models since most data is unlabeled and only from nominal …

The Evolution Of Ai On The Commercial Flight Deck: Finding Balance Between Efficiency And Safety While Maintaining The Integrity Of Operator Trust, Mark Miller, Sam Holley, Leila Halawi

Publications

As artificial intelligence (AI) seeks to improve modern society, the commercial aviation industry offers a significant opportunity. Although many parts of commercial aviation including maintenance, the ramp, and air traffic control show promise to integrate AI, the highly computerized digital flight deck (DFD) could be challenging. The researchers seek to understand what role AI could provide going forward by assessing AI evolution on the commercial flight deck over the past 50 years. A modified SHELL diagram is used to complete a Human Factors (HF) analysis of the early use for AI on the commercial flight deck through introduction of the …

Ground Risk Model For Uavs, Andrew V. Shelley

International Journal of Aviation, Aeronautics, and Aerospace

This paper develops an alternative to the ground risk model provided by JARUS SORA. Key inconsistencies in the SORA ground risk model are identified, specifically ground risk continuing to increase when there is no further increase in fatality probability.

Population density is a critical component of UAS ground risk. Definitions of population density adopted by various regulatory jurisdictions are reviewed. A categorisation of population density is developed based on official statistics categories for New Zealand. This categorisation is more granular than that provided by SORA, enabling a more nuanced assessment of risk.

A ground risk model is then developed using …

Faa Designated Pilot Examiner System Insights, Wendy Beckman, Michael Gref, Timothy Rosser

International Journal of Aviation, Aeronautics, and Aerospace

As part of the Federal Aviation Administration (FAA) Reauthorization Act of 2018 the FAA was required by Congress to review Designated Pilot Examiner (DPE) policies and procedures. This task was delegated to the Designated Pilot Examiner Reforms Working Group (DPERWG). This Group delivered its recommendations to the FAA in June 2021, and this research study was conducted in late January of 2022 to attempt to provide additional insights to the agency prior to its required response to the DPERWG in June of 2022.

This research project aimed to provide perceptions of the current DPE system from both DPEs and flight …

Factors Affecting Passengers’ Acceptance Of Single Pilot Operations: A Qualitative Study Conducted In Greece, Panagiotis Kioulepoglou, Ilias Makris

International Journal of Aviation, Aeronautics, and Aerospace

Single Pilot Operations (SPO) have drawn significant attention during the last years, as a result of the increased dual flight crew expenses, and as a remedy to the impending pilot shortage which is estimated to manifest itself in the following years. The main objective of this study was to explore the factors that influence the Greek passengers’ acceptance of SPO. To that end, 12 semi-structured interviews were conducted and analyzed through Thematic Analysis by combining both a priori and inductive coding procedures.

Qualitative findings of this process revealed seven factors influencing passengers’ intention to accept and fly with a SPO …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Testing Backward Chaining Ab-Initio Flight Instruction, Samuel M. Vance, Kat Gardner-Vandy Phd, Brendan A. Pearce

International Journal of Aviation, Aeronautics, and Aerospace

This conceptual/exploratory research updates that previously published in the Journal of Aviation/Aerospace Education and Research (JAAER) Vol. 30, Issue 1 (Spring 2021) which asked if backward chaining, ab-initio pilot training decrease time to first solo? The specific focus of the research was the viability of landings instruction as the first ab-initio lesson. The research compared a total of eight respondents in a backward-chained flight instruction methodology against four respondents in a forward-chained flight instruction methodology. All 12 respondents were recruited without previous flight instruction or Pilot-in-Command logged flight time. Ground instruction preceded simulator instruction which was followed by instruction in …

Single Pilot Operations And Public Acceptance: A Mixed Methods Study Conducted In Greece, Panagiotis Kioulepoglou, Ilias Makris

International Journal of Aviation, Aeronautics, and Aerospace

The airline industry is moving towards Single Pilot Operations (SPO), as a result of the increased training and salary cost of pilots, and also as a remedy to the impending pilot shortage which is estimated to manifest itself in the years to follow. The main objective of this study was to explore whether the Greek public is willing to accept only one pilot onboard, what are the factors that affect this decision, and which is the preferred method of replacing the second pilot by choosing between an array of alternative options proposed by the industry.

Based on the qualitative findings …