Engineering Commons^™

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

The adverse impacts of extremely large oil spill incidents such as Deepwater Horizon Oil Spill have been widely studied in recent years. Catastrophic oil spill disasters such as Deepwater Horizon Oil Spill have been widely studied. While vast smaller oil spills, which also could result in significant amount of oil release, still lack attention.

This research assessed distributions and environmental impacts caused by historical oil spill incidents in U.S. We first analyzed the spatial and temporal characteristics of oil spills. Then the relationship between spillage amount and spill frequency is evaluated via statistical approaches. Last, based on a thorough literature …

Comprehensive Microenvironment Monitoring For The Productivity And Welfare Of Sows And Piglets, Jun Ho Kim

Graduate Industrial Research Symposium

The world is facing increasing food demand and climate change. To improve piglet survivability and sow welfare through microenvironment management using precision technology, a USDA sponsored research project started in 2021 and is ongoing. A comprehensive yet low-cost system was designed and developed for continuous and real-time microenvironment monitoring in three rooms of Farrowing Building #1 at the Animal Sciences Research and Education Center, Purdue University. The system consists of two gas analyzers and 103 different sensors, including sensors in a weather station. The first trial of the project was conducted from Jan. 13 to Feb. 8, 2023, when the …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

Effects Of Post-Translational Histone Modifications On Transcription Rate, Aaron Bohn

Annual Research Symposium

No abstract provided.

Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh

SDSU Data Science Symposium

In medical imaging informatics, for any future epidemics (e.g., Covid-19), deep learning (DL) models are of no use as they require a large dataset as they take months and even years to collect enough data (with annotations). In such a context, active learning (or human/expert-in-the-loop) is the must, where a machine can learn from the first day with minimum possible labeled data. In unsupervised learning, we propose to build pre-trained DL models that iteratively learn independently over time, where human/expert intervenes only when it makes mistakes and for only a limited data. In our work, deep features are used to …

Session 12: Analysis Of State And Parameter Estimation Techniques Using Dynamic Perturbation Signals, Timothy M. Hansen

SDSU Data Science Symposium

The trend in electric power systems is the displacement of traditional synchronous generation (e.g., coal, natural gas) with renewable energy resources (e.g., wind, solar photovoltaic) and battery energy storage. These energy resources require power electronic converters (PECs) to interconnect to the grid and have different response characteristics and dynamic stability issues compared to conventional synchronous generators. As a result, there is a need for validated models to study and mitigate PEC-based stability issues, especially for converter dominated power systems (e.g., island power systems, remote microgrids).

This presentation will introduce methods related to dynamic state and parameter estimation via the design …

Session 11: Can Machine Learning Predict Particle Deposition At Specific Intranasal Regions Based On Computational Fluid Dynamics Inputs/Outputs And Nasal Geometry Measurements?, Mohammad Mehedi Hasan Akash, Zachary Silfen, Diane Joseph-Mccarthy, Arijit Chakravarty, Saikat Basu

SDSU Data Science Symposium

Along with machine learning modeling, numerical simulations of respiratory airflow and particle transport can be used to improve targeted deposition at the upper respiratory infection site of numerous airborne diseases. Given the need for more patient data from varied demographics, we propose a machine learning-enabled protocol for determining optimal formulation design parameters that may match nasal spray device settings for successful drug delivery. We measured 11 anatomical parameters (including nasopharyngeal volume, nostril heights, and mid-nasal cavity volume) for 10 CT-based nasal geometries representative of the population for this aim. We also ran 160 computational fluid dynamics simulations of drug delivery …

2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, Kc Santosh

SDSU Data Science Symposium

Abstract. In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep Learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients …

Application Of Gaussian Mixture Models To Simulated Additive Manufacturing, Jason Hasse, Semhar Michael, Anamika Prasad

SDSU Data Science Symposium

Additive manufacturing (AM) is the process of building components through an iterative process of adding material in specific designs. AM has a wide range of process parameters that influence the quality of the component. This work applies Gaussian mixture models to detect clusters of similar stress values within and across components manufactured with varying process parameters. Further, a mixture of regression models is considered to simultaneously find groups and also fit regression within each group. The results are compared with a previous naive approach.

Spatial Data Analysis For The Development Of Expected Adverse Weather Charts For Transportation Construction Projects, S M Rahat Rashedi, Akosua Ofosua Okyere-Addo

SDSU Data Science Symposium

Problem - Seasonal and daily weather events impact construction projects across the various climate regions of South Dakota in differing fashions. Additionally, the impacts for similar weather events can impact grading, surfacing, and structural construction activities in various ways. Adverse weather conditions can cause major delays which may lead to time extensions and increase project cost.

Purpose – To address these issues, South Dakota Department of Transportation (SDDOT) developed Working Day Weather Charts in 1998. However, advances in construction practices and weather prediction as well as climatic changes have occurred over the interim 25 years. This study is focused on …

Spatial Data Analysis For Traffic Safety Network Screening, Akosua Okyere-Addo, S. M. Rahat Rashedi

SDSU Data Science Symposium

Problem - The roadway system represents a major investment, both public and private, and a valuable resource that enables mobility and accessibility to users. Due to degradation of aging infrastructure and increasing traffic, transportation agencies are seeking to effectively update or improve the system. With rising costs, tight budgets, and limited land resources, agencies are seeking effective techniques for identifying critical mobility and safety concerns. Historically, assignment of crashes to portions of the network, whether segments or intersections, has been the primary manner to link crash and road elements.

Purpose – The primary goal is to explore a potentially more …

Session 2: The Effect Of Boom Leveling On Spray Dispersion, Travis A. Burgers, Miguel Bustamante, Juan F. Vivanco

SDSU Data Science Symposium

Self-propelled sprayers are commonly used in agriculture to disperse agrichemicals. These sprayers commonly have two boom wings with dozens of nozzles that disperse the chemicals. Automatic boom height systems reduce the variability of agricultural sprayer boom height, which is important to reduce uneven spray dispersion if the boom is not at the target height.

A computational model was created to simulate the spray dispersion under the following conditions: a) one stationary nozzle based on the measured spray pattern from one nozzle, b) one stationary model due to an angled boom, c) superposition of multiple stationary nozzles due an angled boom, …

Air Carrier Pilot Training, Supply & Recruitment Challenges, Paul Ryder, Todd Lisak

National Training Aircraft Symposium (NTAS)

The route to airline recovery following the global COVID-19 pandemic is flush with opportunity for airlines, unions, and regulators to work together within current regulatory structures to recruit the next generation of aviation professionals, while continuing to ensure they are properly trained, qualified and mentored for safe flight operations. As an industry we have raised interest in pursuing aviation, but more still should be done.

The pace of the recovery from the pandemic induced reductions in air travel is testing United States pilot training and recruitment systems.

The reductions in air travel at the beginning of the pandemic led to …

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

National Training Aircraft Symposium (NTAS)

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 …

The Value Of Strong Partnerships To Build A Successful Aviation Maintenance Career Pathway Program For Transitioning Military Service Members, Angela C. Albritton, Kenneth Witcher Ph.D., Christopher Toppin

National Training Aircraft Symposium (NTAS)

The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines. Boeing (2021) forecasts that 626,000 new aviation maintenance technicians will be needed over the next 20 years. If the aerospace industry is unable to recruit the skilled workforce they require, it could have a ripple effect felt globally. Career pathway programs are emerging as essential to inspiring and recruiting the next generation of aviation professionals. How can industry, academia and government work together to find more innovative ways to address the growing need for …

Change Fatigue In Aviation Maintenance Through A Human Factors Lens, Stephanie Douglas, Bettina Mrusek

National Training Aircraft Symposium (NTAS)

Aviation is a demanding and fast-paced industry and it is not uncommon for aviation professionals, including maintainers, to experience rapid disruption and organizational change. Fatigue in aviation professionals is a known risk. Fatigue risk management systems (FRMS) seek to mitigate this risk by focusing on tiredness resulting from long work hours and lack of quality sleep. Recently, change fatigue has also risen to the forefront of business and employee studies. In many of today’s industries, change is constant as firms implement changes either to address disruptions, business growth or to follow trends in the industry. Frequent changes in an organization …

Workforce Of The Future Begins With Aviation Stem, Lyndsay Digneo

National Training Aircraft Symposium (NTAS)

The United States has always been a world leader in aviation. This leadership position relies on the strength of the American STEM workforce and the quality of the nation’s educational, industrial, and government institutions. Therefore, it is imperative to nurture today’s students to become a well-trained STEM workforce in the future.

The Federal Aviation Administration (FAA) William J. Hughes Technical Center (WJHTC) recognizes that in pursuing its mission of aviation research, engineering, development, and test and evaluation, it is in a unique position to support aviation STEM activities for schools (K-12), post-secondary institutions, and community organizations. In 2016, the Technical …

Determining The Effectiveness Of Single-Pilot Resource Management In General Aviation, Alaba Gabriel Idowu, Holly Augustine, Michael Adebola Shogbonyo

National Training Aircraft Symposium (NTAS)

This research aims to determine the effectiveness of single-pilot resource management (SRM) towards improved safety in general aviation (GA) as compared to its counterpart, crew resource management (CRM), in commercial aviation that has improved commercial safety drastically. GA safety has been a significant concern due to many fatalities. Despite SRM concepts to ensure safe and successful flight operations, evidence showed that GA suffers a higher fatal accident rate than scheduled airline flights and holds a lackluster safety record, accounting for 94% of civil aviation fatalities. In contrast, commercial aviation safety has improved since the implementation of CRM. The investigation examines …

Why Should Airline Workers Be Trained To Respond To Fume Events?, Judith Tl Anderson

National Training Aircraft Symposium (NTAS)

The potential for engine oil and hydraulic fluid fumes to contaminate the ventilation air supplied to the aircraft cabin and flight deck has been recognized since the 1950s as a function of the design and maintenance of the bleed air system. The presence of oil and hydraulic fluid in the bleed air matters because the fumes contain complex mixtures of chemicals, including toxic additives. Starting in the 1950s and continuing to this day, crewmembers around the world have documented ill health during and after breathing these fumes. Also, some crewmembers have reported impairment and even incapacitation inflight, resulting in investigations …

Utilizing Drones To Streamline Wildlife Hazard Management Efforts By Airport Operators, Flavio A. C. Mendonca Ph.D., Ryan Wallace, Jose Cabrera, Cole Mcnall

National Training Aircraft Symposium (NTAS)

Airports operating under the Code of Federal Regulations Part 139 should conduct a wildlife hazard assessment (WHA) when some wildlife-strike events have occurred at or near the airport. The WHA must be conducted by a Qualified Airport Wildlife Biologist (QAWB). The required elements in a WHA include the identification of the wildlife species observed and their numbers, and the location of features on and near the airport that could attract wildlife. Service learning and research projects enable undergraduate students to develop transferable skills that are highly valued by the aviation industry, including critical thinking, self-confidence, the ability to integrate theory …

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

National Training Aircraft Symposium (NTAS)

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 …

Development Of A Safety Performance Decision-Making Tool For Flight Training Organizations, Marisa D. Aguiar Phd, Carolina L. Anderson Phd

National Training Aircraft Symposium (NTAS)

The purpose of the research was to create and validate a safety performance decision-making tool to transform a reactive safety model into a predictive, decision-making tool, specific to large, collegiate Title 14 of the Code of Federal Regulations (CFR) Part 141 flight training organizations, to increase safety and aid in operational decision-making. Using Monte Carlo simulation, the study conducted simulation runs based on true operational ranges to simulate the operating conditions possible within large, collegiate CFR Part 141 flight training organizations with varying levels of controllable resources in terms of personnel (Aviation Maintenance Technicians and Instructor Pilots) and expenditures (active …

Airline Pilot Risk Profiling By Using Unstable Approach Management Case, Selim Ozyurek

National Training Aircraft Symposium (NTAS)

Risk and human decision-making cannot be separated from each other. Many of theories and studies have tried to analyze pilots’ decision-making processes, risk factors, and preference behavior in the aviation domain. Unstable approaches are fairly infrequent, but an unstable approach is a major risk factor for landing accidents (Smith & Curtis, 2013; Smith, Jamieson, & Curtis, 2012). Therefore, the decision to execute a go-around if an approach is not sufficiently stable is encouraged in the interest of safety (Airbus Customer Services, 2012; Flight Safety Foundation, 2013), but in practice less than 5% of the unstable approaches actually results in a …

A Bidirectional Deep Lstm Machine Learning Method For Flight Delay Modelling And Analysis, Desmond B. Bisandu, Irene Moulitsas

National Training Aircraft Symposium (NTAS)

Flight delays can be prevented by providing a reference point from an accurate prediction model because predicting flight delays is a problem with a specific space. Only a few algorithms consider predicted classes' mutual correlation during flight delay classification or prediction modelling tasks. None of these existing methods works for all scenarios. Therefore, the need to investigate the performance of more models in solving the problem of flight delay is vast and rapidly increasing. This paper presents the development and evaluation of LSTM and BiLSTM models by comparing them for a flight delay prediction. The LSTM does the feature extraction …

Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Paul Thomas, Eric Webb, Jon Martin, Austin Walden

National Training Aircraft Symposium (NTAS)

An increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time-series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) embedded machine learning framework. Data cleanup and preparation has …

Factors Influencing Users’ Attitudes Towards Using Brain Computer Interface (Bci) For Non Medical Uses: An Application Of The Technology Acceptance Model (Tam), Yichin Wu, Leila Halawi

National Training Aircraft Symposium (NTAS)

While brain-computer interfaces (BCI) are gaining popularity in assisting people with illnesses, there is also increased technical research on incorporating BCI into healthy people’s lives. So far, not much research has focused on user attitudes, although some research has pointed out privacy and trust issues. Understanding potential users’ attitudes, expectations, and concerns early in the technology development stage is crucial for the novelty's success. For this reason, this study aims to understand the general publics’ attitude towards BCI for nonmedical uses using the technology acceptance model (TAM). The study will offer insights into how external factors including technology optimism, familiarity, …

Neutralization Of Fuel Tankering Emissions For Environmental Sustainability, Peter O'Reilly, Maria Petrescu, Fabricio Sulzbacher, Diogo Coutinho

National Training Aircraft Symposium (NTAS)

As aviation has been one of the fastest-growing sources of emissions, this paper explores sustainable solutions in the equation of the economic savings from the fuel tankering practice, in a way it could represent gains of credibility for this industry (Boussauw & Vanoutrive, 2019). The fuel expenses in Brazil have been responsible for the highest operational cost for the airlines and, as a result, there has been an ongoing pursuit of the highest level of efficiency (ANAC, 2019). In this context, this study has been focused on the emerging Brazilian aviation market, and uses primary data collected from three major …

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 …

Microcontrollers To Teach Automation Basics, Jonathan Shimon

Symposium on Education in Entertainment and Engineering

Microcontrollers to Teach Automation Basics Introducing students to the fundamentals of automation can be a massive undertaking for faculty. Scenic automation systems can be very complex in order to prepare students for this emerging area of technical theatre it behooves faculty to find innovative ways to fit the foundations and concepts into curriculum. Many automation solutions exist on the market, from plug and play to component level they are all in the thousands of dollar and take up significant space. It would be impractical for each student in an undergraduate program to have their own system. Arduino microcontrollers that incorporate …

"Semiclassical Mastermind", Curtis Bair, Alexa S. Cunningham, Joshua Qualls

Posters-at-the-Capitol

Games are often used in the classroom to teach mathematical and physical concepts. Yet the available activities used to introduce quantum mechanics are often overwhelming even to upper-level students. Further, the "games" in question range in focus and complexity from superficial introductions to games where quantum strategies result in decidedly nonclassical advantages, making it nearly impossible for people interested in quantum mechanics to have a simple introduction to the topic. In this talk, we introduce a straightforward and newly developed "Semiclassical Mastermind" based on the original version of mastermind but replace the colored pegs with 6 possible qubits (x+, x-, …