Engineering Commons^™

Outsmart Moore’S Law With Machine Learning, Dustin Tanksley, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Over the last half century, computing has transformed most aspects of society due to a rapid increase in computation power. With the possible end of Moore’s Law in sight, much of this growth could come to an end. This paper will discuss why machine learning will continue growing even after Moore’s Law, and demonstrate why it is a great time to enter the field.

Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna And Subsea Communications For Auvs, Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

This paper designs a novel geometry-conformal antenna for Magnetic Induction (MI)-based subsea wireless communications for autonomous underwater vehicles (AUV). The designed tri-directional antennas can be wrapped directly on the surface of AUVs, such that the AUVs fluid dynamics are well maintained to ensure power efficiency of the vehicles. In addition, ferrite materials are added between the MI antenna and the metallic body surface of the AUVs to overcome the shielding effect and enhance the MI signal strength. The designed MI communication system is implemented in hardware and the effectiveness of the geometry-conformal MI antenna is demonstrated through COMSOL simulations and …

Surface And Structural Modification Of Carbon Electrodes For Electroanalysis And Electrochemical Conversion, Yan Zhang

Theses and Dissertations--Chemistry

Electrocatalysis is key to both sensitive electrochemical sensing and efficient electrochemical energy conversion. Despite high catalytic activity, traditional metal catalysts have poor stability, low selectivity, and high cost. Metal-free, carbon-based materials are emerging as alternatives to metal-based catalysts because of their attractive features including natural abundance, environmental friendliness, high electrical conductivity, and large surface area. Altering surface functionalities and heteroatom doping are effective ways to promote catalytic performance of carbon-based catalysts. The first chapter of this dissertation focuses on developing electrode modification methods for electrochemical sensing of biomolecules. After electrochemical pretreatment, glassy carbon demonstrates impressive figures-of-merit in detecting small, redox-active …

Enhancing The Safety Training Of Ga Pilots To Reduce The Risk Of Bird Strikes: An Experimental Pilot Study, Flavio A. C. Mendonca Phd, Thomas Carney Phd, Richard O. Fanjoy Phd

International Journal of Aviation, Aeronautics, and Aerospace

Analyses of wildlife strike data from 2000 through 2016 indicate that for the general aviation (GA) community, the number and rate of damaging strikes has increased both at and outside the airport environment. Pilots play an important role in the accident prevention process due to wildlife, ranging from reporting strikes to using appropriate aircraft operating techniques to mitigate the risk of strikes. Therefore, safety efforts require enhanced aeronautical decision-making (ADM) for pilots. The purpose of this pilot project was to investigate if a safety protocol would enhance Part 141 GA pilots’ knowledge and skills to mitigate the risk of bird …

Uas Maintenance: A Critical Component In Maintaining Airworthiness, Bettina M. Mrusek, Kristy W. Kiernan, Patti J. Clark

International Journal of Aviation, Aeronautics, and Aerospace

Over the last several decades, the notion of traditional aircraft design has significantly changed. While there are many modern aircraft that resemble earlier models, their components, systems, and overall architecture have evolved, including the introduction of small unmanned aircraft systems (sUAS). Despite the growing consumer attraction to own and operate these aircraft, the subsequent impact on safety is an area of intense concern. The requirement of an established maintenance program for manned aircraft is rooted in ensuring that all aircraft are deemed safe for flight. Preventive maintenance schedules are based on component reliability data, which minimizes unnecessary maintenance while preventing …

Application Of Artificial Neural Networks For The Prediction Of Aluminium Agglomeration Processes, Tejasvi K, Y Pydi Setty, Vemana Venkateswara Rao, Kalyan Chakarvarthy

International Journal of Aviation, Aeronautics, and Aerospace

Aluminium is universal and vital constituent in composite propellants and typically used to improve performance. Aluminum agglomeration takes place on the burning surface of aluminized propellants, which leads to reduced combustion efficiency and 2P flow losses. To understand the processes and behaviour of aluminum agglomeration, particles size distribution of composite propellants were studied using a quench particle collection technique, at 2 to 8 MPa and varying quench distances from 5mm to 71mm. To predict the agglomerate diameter of metallized/ultra-fine aluminium of composite propellants, a new artificial neural network (ANN) model was derived. Five Layered Feed Forward Back Propagation Neural Network …

Quantitative Examination And Comparison Of Altimetry Rules-Of-Thumb For General Aviation, Thomas A. Guinn

International Journal of Aviation, Aeronautics, and Aerospace

General aviation rules of thumb (ROTs) for density altitude and true altitude are examined and developed. Both ROTs originate from the same basic principle of hydrostatic balance, but differ significantly in the assumptions made regarding the atmospheric temperature profile. While the ROT for DA assumes a standard atmospheric vertical temperature lapse rate, the ROT for true altitude requires information regarding the observed layer-mean temperature of the atmosphere. Since the layer-mean temperature between the aircraft and the surface is typically unknown, it must be inferred from the temperature at a single level by again assuming a linear lapse rate. This method …

Innovative Dodecacopter Design – Bulgarian Knight, Svetoslav Zabunov, Garo Mardirossian

International Journal of Aviation, Aeronautics, and Aerospace

The current article aims at introducing a novel dodecacopter multirotor design called Bulgarian Knight. The aircraft implements a number of innovations and characteristics that give it an advantage over other contemporary multi-copters. Some of its novel characteristics are the mounting of the rotors under the fuselage by use of pusher propellers. Further, the design implements twelve rotors positioned in an optimal geometric coverage.

Language-Related Communications Challenges In General Aviation Operations And Pilot Training, Bradley S. Baugh, Alan J. Stolzer

International Journal of Aviation, Aeronautics, and Aerospace

English is the basis for aviation communications worldwide creating challenges for both native and non-native English speakers. An unfortunate outcome of language-related communications issues, whether indirectly or directly, has been aircraft mishaps. As aviation grows worldwide, the potential for miscommunication increases. Previous studies have concentrated on commercial aviation accident analysis. A similar focus on general aviation operations and pilot training incidents in the U.S. is needed. Voluntary incident reporting is a key component in Safety Management Systems in order to address problems before they become accidents. This project studied voluntary incident reports to analyze the number of language-related reports filed …

Protocol For Energy Efficient Cluster Head Election For Collaborative Cluster Head Elections., David Otu

Dissertations

In wireless sensor networks (WSNs) , energy is a major constrain.Energy efficient network protocols is required to maintain reliable sensing of the sensing field . WSNs that use LEACH protocol, have node in a cluster periodically take trials to become cluster - head,such that the nodes in the cluster becomes cluster - head evenly. Nodes with greater transmission distance to the base station in the cluster dies out faster because it performs more work in transmitting data when it is cluster-head. The distance-based algorithm presented in this project, ensures that work is allocated to the nodes in the cluster more …

An Application Of Natural Language Processing For Triangulation Of Cognitive Load Assessments In Third Level Education, Luis Alfredo Contreras

Dissertations

Work has been done to measure Mental Workload based on applications mainly related to ergonomics, human factors, and Machine Learning. The influence of Machine Learning is a reflection of an increased use of new technologies applied to areas conventionally dominated by theoretical approaches. However, collaboration between MWL and Natural Language Processing techniques seems to happen rarely. In this sense, the objective of this research is to make use of Natural Languages Processing techniques to contribute to the analysis of the relationship between Mental Workload subjective measures and Relative Frequency Ratios of keywords gathered during pre-tasks and post-tasks of MWL activities …

Can Threshold-Based Sensor Alerts Be Analysed To Detect Faults In A District Heating Network?, Liam Cantwell

Dissertations

Older IoT “smart sensors” create system alerts from threshold rules on reading values. These simple thresholds are not very flexible to changes in the network. Due to the large number of false positives generated, these alerts are often ignored by network operators. Current state-of-the-art analytical models typically create alerts using raw sensor readings as the primary input. However, as greater numbers of sensors are being deployed, the growth in the number of readings that must be processed becomes problematic. The number of analytic models deployed to each of these systems is also increasing as analysis is broadened. This study aims …

Elasticity Measurement In Caas Environments - Extending The Existing Bungee Elasticity Benchmark To Aws's Elastic Container Service, Nora Limbourg

Dissertations

Rapid elasticity and automatic scaling are core concepts of most current cloud computing systems. Elasticity describes how well and how fast cloud systems adapt to increases and decreases in workload. In parallel, software architectures are moving towards employing containerised microservices running on systems managed by container orchestration platforms. Cloud users who employ such container-based systems may want to compare the elasticity of different systems or system settings to ensure rapid elasticity and maintain service level objectives while avoiding over-provisioning. Previous research has established a variety of metrics to measure elasticity. Some existing benchmark tools are designed to measure elasticity in …

Use Of Hyperspectral Images (Hsi) And Convolutional Neural Network (Cnn) To Identify Normal, Precancerous And Cancerous Tissues, Pallavi Jain

Dissertations

Cancer detection has been a great topic of research for a long time, as early detection of cancer can help in increasing the survival rate of patients by providing on time better treatment. A robust system is required in order to detect early-stage cancer as its difficult to identify early-stage cancer from the normal clinical process. The computer vision techniques provide a new way to understand the challenges related to the medical image analysis. This thesis presents the medical image analysis using a combination of Convolutional Neural Network and Hyperspectral Images of cancer patient's tissues. The idea behind choosing the …

From Business Understanding To Deployment: An Application Of Machine Learning Algorithms To Forecast Customer Visits Per Hour To A Fast-Casual Restaurant In Dublin, Odunayo David Adedeji

Dissertations

This research project identifies the significant factors that affects the number of customer visits to a fast-casual restaurant every hour and proceeds to develop several machine learning models to forecast customer visits. The core value proposition of fast-casual restaurants is quality food delivered at speed which means they have to prepare meals in advance of customers visit but the problem with this approach is in forecasting future demand, under estimating demand could lead to inadequate meal preparation which would leave customers unsatisfied while over estimation of demand could lead to wastage especially with restaurants having to comply with food safety …

Can Machine Learning Beat Physics At Modeling Car Crashes?, Gavin Byrne

Dissertations

This study aimed to look at a traditional method used for measuring the severity and principle direction of force of a car crash and see if it could be improved on using machine learning models. The data used was publicly available from the NHTSA database and included descriptions of the vehicle, test and sensors as well as the accelerometer data over the period of the crashes. The models built were SVM classifiers and multinomial regression models. Although the SVM and Regression models were built successfully and gave higher levels of accuracy than the momentum models in terms of the severity, …

Supervised Learning Models To Predict Stock Direction Within Different Sectors In A Bull And Bear Market, Tiffany Razy

Dissertations

Forecasting stock market price movement is a well researched and an alluring topic within the machine learning and financial realm. Supervised machine learning algorithms such as Random Forest (RF) and Support Vector Machines (SVM) have been used independently to gain insight on the market. With such volatility in the market the scope of this study will utilized the RF and SVM in a very volatility market to determine if these models will perform at a high level or outperform each other in both markets. This relative study is performed on 16 stocks in 4 different sectors over the bear market …

Identifying Expert Investors On Financial Microblog Via Artificial Neural Networks, Pierluca Del Buono

Dissertations

In the recent years, thanks to social media platform, a plethora of information has been available to financial investors, that were traditionally dependent from financial institutions advisors. Strategies are now shared among web users, performances of stocks are commented in web communities and hints and suggestions are travelling on the internet with a fast pace, in a way that was unthinkable few years before. Several attempts have been made in the recent past, to predict Market movements and trends from activity of Financial Social Networks participants, and to evaluate if contributions from individuals with high level of expertise distinguish themselves …

Numerical Simulation Of Fault Impacts For Commercial Walk-In Freezers, Alireza Behfar, David P. Yuill

Durham School of Architectural Engineering and Construction: Faculty Publications

Refrigeration systems can undergo many faults that could negatively affect their operation and performance. This paper describes a modeling process to simulate the fault impacts on the operation of a commercial walk-in freezer using semi-empirical models. These models often require less modeling effort than full forward models and could be used in scenarios where detailed information is missing, such as in field-measured systems. An important characteristic of a typical walk-in refrigeration system is the existence of a liquid-line receiver after the condenser, which significantly changes the behavior of the cycle, in comparison to a receiver-less system. Component models described in …

Robust Nonlinear Estimation And Control Applications Using Synthetic Jet Actuators, Natalie Ramos Pedroza

Doctoral Dissertations and Master's Theses

Limit cycle oscillations (LCO), also known as utter, cause significant challenges in flight control of small unmanned aerial vehicles (SUAVs), and could potentially lead to structural damage and catastrophic failures. LCO can be described as vibrational motions in the rocking, pitching and plunging displacements of an aircraft wing. To address this, the use of synthetic jet actuators (SJAs) in UAV flight control systems is becoming popular as a practical alternative and to mechanical deflection surfaces.

Synthetic jet actuators are promising tools for LCO suppression systems in small UAVs due to their small size, ease of operation, and low cost. Uncertainties …

Design And Optimization Of Aircraft Configuration For Minimum Drag, Zin Win Thu, Aung Myo Thu, Phyo Wai Thaw

International Journal of Aviation, Aeronautics, and Aerospace

This paper presents a reliable and robust optimization for minimum drag of an aircraft at the conceptual design phase. Firstly, the conceptual design code was developed and existing Single Seat Aerobatic (SSA) aircraft was chosen to validate the reliability of developed code. The resulted data from the developed code showed good agreement with the existing data. Secondly, Sequential Quadratic Programming (SQP) optimizer was created and employed as a tool to explore possible aircraft configurations that are more efficient and less costly than an existing design. The optimized results gave lower Drag and better performance.

Mental Health In Commercial Aviation - Depression & Anxiety Of Pilots, Maurice C. Dehoff, Stephen K. Cusick

International Journal of Aviation, Aeronautics, and Aerospace

Two landmark accidents invigorated the discussion regarding pilot mental health. Other incidents may also have a mental health component that is related to, but not the direct cause of, the event. It is suspected that these “other incidents” are much more commonplace and while not catastrophic, erode safety. Depression and anxiety are two commonly occurring mental health concerns. Research indicates that a considerable portion of the U. S. population suffers from some form of mental health issue. Most go undiagnosed and untreated. A similar rate of occurrence appears to be found within the airline pilot population. The stigma of mental …

Called To Safety? Individual And Combined Effects Of Safety Climate And Occupational Callings On Aviator Safety Performance, Michele W. Gazica, Erin E. Bowen, Michael A. Mccarson, Kristen A-M. Chadwell

Journal of Aviation/Aerospace Education & Research

This study examined the individual and combined effects of two potential antecedents to aviation-related safety performance: safety climate and occupational callings. Research exploring the importance of occupational callings to the safety domain is in its nascent stages. The extent that someone is living a calling may explain variance in actual safety performance above that which can be explained by safety climate alone. Survey data from aviators in a flight training program were analyzed to evaluate the ability of occupational calling assessments to inform the potential for safety mishaps within the aviation industry. Results indicate that both safety climate and occupational …

Adaptive Learning Pedagogy Of Universal Design For Learning (Udl) For Multimodal Training, Ziho Kang, Mattlyn R. Dragoo, Lauren Yeagle, Randa L. Shehab, Han Yuan, Lei Ding, Stephen G. West

Journal of Aviation/Aerospace Education & Research

Traditionally, students or trainees usually receive training through a unidirectional instructional approach that can lack interactive activities or through a single material source in classrooms. Therefore, it is possible that some trainees might encounter a sink-or-swim situation if they are not able to understand the materials presented during classroom lectures nor execute correct procedures during laboratory sessions with time-intensive training. To address this issue, the Universal Design for Learning (UDL) asserts that trainees can increase their performance if instructors can provide the trainees with diversified means of information representation, expression opportunities, and engagement means. However, we lack the framework on …

Human Error Analysis Of Helicopter Emergency Medical Services (Hems) Accidents Using The Human Factors Analysis And Classification System (Hfacs), Paul E. Cline

Journal of Aviation/Aerospace Education & Research

Helicopter Emergency Medical Services (HEMS) is among the most dangerous type of flying in commercial aviation. This research utilized the Human Factors Analysis and Classification System (HFACS) to understand the errors, preconditions and violations that contribute to these accidents. Drawing upon source data from the National Transportation Safety Board’s Aviation Accident Database, HEMS accidents from 2000-2016 were analyzed according to the HFACS framework.

The Impact Of Functional Modeling On Engineering Students' Mental Models, Jacob T. Nelson

Senior Honors Projects, 2010-2019

The ability to understand complexity and think holistically about systems is an increasingly important part of engineering design. This is embodied in the concept of systems thinking, a concept studied primarily in the fields of systems dynamics and systems engineering. Systems thinking ability is built off mental models, a loosely-defined construct people form to make predictions about their surroundings. Methods to evaluate systems thinking and underlying mental models rely primarily on self-evaluative methods such as questionnaires, or detailed simulations of systems or processes; however these methods fail to directly capture students’ design tendencies. This work presents a visual instrument used …

Engineering Identity Development: A Review Of Higher Education Literature, Sarah L. Rodriguez, Charles Lu, Morgan Bartlett

Faculty Publications

The purpose of this systematic literature review was to appraise and synthesize the current scholarship pertaining to engineering identity development within the higher education context and create recommendations for future scholarship within engineering education. A review of the literature concluded that research on engineering identity development has increased over the past ten years, has been conducted primarily with qualitative methods, and has been primarily limited to academic communities focused on mathematics, science, and engineering education. In addition, current scholarship reflected that most of the work in this area has focused on the learning contexts and experiences of women and underrepresented …

Table Of Contents, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Journal Of The Arkansas Academy Of Science- Volume 72 2018, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Keynote Address And Meeting Program Report, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.