Engineering Commons^™

Evaluating Human Factors In The Commercial Pilot-Airplane Airman Certification Standards, Alaba Gabriel Idowu

Graduate Student Works

This research aimed to identify risk management elements in the Commercial Pilot-Airplane Airman Certification Standards (ACS), and to evaluate tasks relating to or involving human factors. The investigation examined the risk management elements under each task in the Commercial Pilot-Airplane ACS and classified them under the preconditions for unsafe acts of the Human Factors Analysis Classification System (HFACS). The method of investigation was a qualitative research approach to determine the human factors element prevalent in the Commercial Pilot-Airplane ACS. Three research questions were stated: (1) Which factor under the preconditions for unsafe of HFACS has the highest number of tasks …

A Framework For Assessing And Designing Human Annotation Practices In Human-Ai Teaming, Suzanne Ashley Stevens

Theses and Dissertations

This thesis work examines how people accomplish annotation tasks (i.e., labelling data based on content) while working with an artificial intelligence (AI) system. When people and AI systems work together to accomplish a task, this is referred to as human-AI teaming. This study reports on the results of an interview and observation study of 15 volunteers from the Washington DC area as the volunteers annotated Twitter messages (tweets) about the COVID-19 pandemic. During the interviews, researchers observed the volunteers as they annotated tweets, noting any needs, frustrations, or confusion that the volunteers expressed about the task itself or when working …

Interactive Expert System For Budgeting World Bank Consultancy Projects, Yosra Rafat

Theses and Dissertations

Cost estimating and forecasting are key components of the budgeting of any construction project. However, conventional approaches may result in uncertainty and usually do not utilize the organizational knowledge of past projects. Ideally, performing a cost estimation under the best predictions of the relevant future conditions, is the best approach of economic analysis to evaluate the optimum value for money. With the rise of Artificial Intelligence techniques, there are now several Machine Learning (ML) methods that are being studied to capitalize on accuracy gains with regards to cost estimating techniques to increase reliability during the tendering phase. This research aims …

Off-Chain Transaction Routing In Payment Channel Networks: A Machine Learning Approach, Heba Kadry

Theses and Dissertations

Blockchain is a foundational technology that has the potential to create new prospects for our economic and social systems. However, the scalability problem limits the capability to deliver a target throughput and latency, compared to the traditional financial systems, with increasing workload. Layer-two is a collective term for solutions designed to help solve the scalability by handling transactions off the main chain, also known as layer one. These solutions have the capability to achieve high throughput, fast settlement, and cost efficiency without sacrificing network security. For example, bidirectional payment channels are utilized to allow the execution of fast transactions between …

Assessment Of Carbon Dioxide Emission And Its Impact On High-Rise Mixed-Use Buildings In Egypt, Ahmed Salah Hamza

Theses and Dissertations

With Egypt's vision of 2030 focusing on sustainable development with a true emphasis on Carbon Dioxide (CO₂) emission reduction in the newly built cities and high-rise buildings, efforts are exerted on various levels towards accomplishing the vision’s goals. This is achieved through multiple tools and models associated with aiding the reduction of carbon emissions, yet not a clear one was introduced for the mixed-use buildings in Egypt.

Through this work, a significant gap was identified with respect to high-rise buildings carbon emission assessment in Egypt. This was a main driving force for this work in an attempt to …

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

Mac For Machine-Type Communications In Industrial Iot—Part Ii: Scheduling And Numerical Results, Jie Gao, Mushu Li, Weihua Zhuang, Xuemin Shen, Xu Li

Electrical and Computer Engineering Faculty Research and Publications

In the second part of this article, we develop a centralized packet transmission scheduling scheme to pair with the protocol designed in Part I and complete our medium access control (MAC) design for machine-type communications in the industrial Internet of Things. For the networking scenario, fine-grained scheduling that attends to each device becomes necessary, given stringent Quality-of-Service (QoS) requirements and diversified service types, but prohibitively complex for a large number of devices. To address this challenge, we propose a scheduling solution in two steps. First, we develop algorithms for device assignment based on the analytical results from Part I, when …

Mac For Machine-Type Communications In Industrial Iot—Part I: Protocol Design And Analysis, Jie Gao, Weihua Zhuang, Mushu Li, Xuemin Shen, Xu Li

Electrical and Computer Engineering Faculty Research and Publications

In this two-part paper, we propose a novel medium access control (MAC) protocol for machine-type communications in the Industrial Internet of Things. The considered use case features a limited geographical area and a massive number of devices with sporadic data traffic and different priority types. We target supporting the devices while satisfying their Quality-of-Service (QoS) requirements with a single access point and a single channel, which necessitates a customized design that can significantly improve the MAC performance. In Part I of this paper, we present the MAC protocol that comprises a new slot structure, corresponding channel access procedure, and mechanisms …

Seamless Container Migration Between Cloud And Edge, Aditya Mohan, Jonathan Yezalaleul, Angeline Chen, Tamir Enkhjargal

Computer Science and Engineering Senior Theses

Considering the limited resources of edge devices, it is essential to monitor their current resource utilization and device resource allocation strategies that assign containers to edge and cloud nodes based on their priority. Edge containers may need to be migrated to a cloud platform to reduce the load of edge devices and allow for running missions critical applications. In this case, we proposed a prioritization method to exchange containers between the edge and cloud, while trying to assign delay-sensitive containers to edge nodes. We evaluate the performance of running Docker container management systems on resource-constrained machines such as Raspberry Pi, …

Developing Inclusive And Sustainable Curriculum For Environmental Engineering Courses, Kauser Jahan, Sarah Bauer, Jagadish Torlapati, Tiago Forin

Henry M. Rowan College of Engineering Departmental Research

Inclusivity and sustainability are becoming integral to the successful delivery of engineering course content. Teaching strategies that incorporate both are gaining momentum globally for engineering educators. Inclusive teaching strategies are based on making all students in the classroom feel valued and equal contributors. Strategies are based on developing curricular material that addresses students from a diverse background (socioeconomic status, race, gender, ethnicity, preferred orientation) and varying earning abilities. Research has shown that inclusive teaching strategies allow instructors to engage and bond with their students and the students bond with the course content. ABET, the accreditation arm for engineering programs has …

Effective Temperature Control For Industrial Friction Stir Technologies, Arnold David Wright

Theses and Dissertations

Systematic investigation of the Friction Stir Welding (FSW) process shows that a fixed rotational velocity and feed rate may not yield uniform mechanical properties along the length of a weldment. Nevertheless, correlations between process parameters and post-weld material properties have successfully demonstrated that peak temperature and cooling rate drive post-weld properties. There have been many reported methodologies for controlling friction stir welding, with varying degrees of cost to implement and effectiveness. However, comparing data from uncontrolled FSW of AA 6111-T4 sheet with controlled FSW at temperatures ranging from 375 °C to 450 °C demonstrates that a simplified methodology of a …

Mechanical Engineering News, Georgia Southern University

Mechanical Engineering: News & Publications (2013-2023)

• Two Student Researchers Receive Engineering Awards

Application Of Compositional Data Analysis To Determine The Effects Of Heating Mode, Moisture Status And Plant Species On Pyrolysates, David R. Weise, Thomas H. Fletcher, Mohammad-Saeed Safdari, Elham Amini, Javier Palarea-Albaladejo

Faculty Publications

Pyrolysate gas mixtures are multivariate and relative in nature. Statistical techniques applied to these data generally ignore their relative nature. Published data for permanent gases (CO, CO2, H2, CH4) and tars produced by pyrolysing 15 wildland fuels were reanalysed using compositional data analysis techniques. Mass and mole fractions were compositionally equivalent. Plant species, moisture status and heating mode effects on compositional balances formed from subsets of pyrolysates were tested. Plant species affected the amount of phenol, primary and secondary/tertiary tars relative to permanent gases and relative amounts of single- and multi-ring compounds. Plant moisture status affected the amount of CO …

Three Degrees Of Freedom Robotic Arm And Its Digital Twin Using Simulink – A Bibliometric Analysis, Bharath Suthar Mr., Arunkumar Bongale Dr, Satish Kumar Dr, Anupkumar Bongale Dr

Library Philosophy and Practice (e-journal)

The 3-degree Digital Twin robotic arm for freedom can diagnose the joints off-board by placing a torque in the robotic arm joint. MATLAB, Simulink®, SimscapeTM, and Simscape Multibody were the basis of this model. Virtual space with a virtual robot arm was connected to a physical space that was a 3D printed replica of the virtual space and robot arm, built using Unity (a modern Game Engine). The arm in the Digital Twin model was created using the hardware prototype’s dimensions, which were then used to simulate a real-world situation. With its revolute joints, the arm has a certain degree …

Minimally Invasive Delivery Of 3d Shape Recoverable Constructs With Ordered Structures For Tissue Repair, Shixuan Chen, Mark Alan Carlson, Xiaowei Li, Aleem Siddique, Wuqiang Zhu, Jingwei Xie

Department of Mechanical and Materials Engineering: Faculty Publications

Minimally invasive procedures are becoming increasingly more common in surgery. However, the biomaterials capable of delivering biomimetic, three-dimensional (3D) functional tissues in a minimally invasive manner and exhibiting ordered structures after delivery are lacking. Herein, we reported the fabrication of gelatin methacryloyl (GelMA)-coated, 3D expanded nanofiber scaffolds and their potential applications in minimally invasive delivery of 3D functional tissue constructs with ordered structures and clinically appropriate sizes (4 cm × 2 cm × 1.5 mm). GelMA-coated, expanded 3D nanofiber scaffolds produced by combining electrospinning, gas-foaming expansion, hydrogel coating, and crosslinking are extremely shape recoverable after release of compressive strain, displaying …

Transport-Based Pattern Recognition Versus Deep Neural Networks In Underwater Oam Communications, Patrick L. Neary, Jonathan M. Nichols, Abbie T. Watnik, K. Peter Judd, Gustavo K. Rohde, James R. Lindle, Nicholas S. Flann

Space Dynamics Laboratory Publications

Comparisons between machine learning and optimal transport-based approaches in classifying images are made in underwater orbital angular momentum (OAM) communications. A model is derived that justifies optimal transport for use in attenuated water environments. OAM pattern demultiplexing is performed using optimal transport and deep neural networks and compared to each other. Additionally, some of the complications introduced by signal attenuation are highlighted. The Radon cumulative distribution transform (R-CDT) is applied to OAM patterns to transform them to a linear subspace. The original OAM images and the R-CDT transformed patterns are used in several classification algorithms, and results are compared. The …

Personalized Digital Phenotype Score, Healthcare Management And Intervention Strategies Using Knowledge Enabled Digital Health Framework For Pediatric Asthma, Utkarshani Jaimini, Amit Sheth

Publications

Asthma is a personalized, and multi-trigger respiratory condition which requires continuous monitoring and management of symptoms and medication adherence. We developed kHealth: Knowledge-enabled Digital Healthcare Framework to monitor and manage the asthma symptoms, medication adherence, lung function, daily activity, sleep quality, indoor, and outdoor environmental triggers of pediatric asthma patients. The kHealth framework collects up to 1852 data points per patient per day. It is practically impossible for the clinicians, parents, and the patient to analyze this vast amount of multimodal data collected from the kHealth framework. In this chapter, we describe the personalized scores, clinically relevant asthma categorization using …

Certifying Computer Forensics Skills, Michael Charles Watson

Theses and Dissertations

Computer forensics is an ever-growing technological field of complexity and depth. Individuals must strive to keep learning and growing their skills as they help combat cybercrime throughout the world. This study attempts to establish a method of evaluating conceptual expertise in computer forensics to help indicate whether or not an individual understands the five basic phases of computer forensics: preparation, seizure of evidence, acquisition of data, analysis of data, and reporting the findings of the analysis. A survey was presented to a university class of 30 students taking a computer forensics course and as well as posted online asking computer …

Graphene As A Shielding Material For Sar Reduction In Human Head Using Rectangular And Circular Patch Antenna, Alka Singla Er., Anupma Marwaha Dr., Sanjay Marwaha Dr.

Karbala International Journal of Modern Science

Nanomaterials pave the way for better performance in wireless applications due to their unique properties. Nowadays, these have been used as shield material in dipole antennas for a solution of reduction in SAR value. This work proposes the use of emerging graphene nanomaterial by comparing the performance for two different shapes of patch antenna namely rectangular and circular patch. With the growth in technology, the protection of human health is also mandatory so the work is planned to use graphene as a shielding material for SAR reduction in the human brain and it is proved that for rectangular and circular …

Mathematical Model For Measuring The Concentration Of Nanoparticles In A Liquid During Sedimentation, Safaa Mohammed Ridha Hussien Hussien, Airat Sakhabutdinov, Vladimir Anfinogentov, Maxim Danilaev, Vladimir Kuklin, Oleg Morozov

Karbala International Journal of Modern Science

Expanding the application areas of polymer composite materials with dispersed filler requires the development of technologies providing the required mechanical characteristics. One of these methods is based on forming a thin polymer shell on the surfaces of particles. At the same time, it is impossible to take into account the mechanical characteristics of a thin polymer shell due to its ultra-small thickness. The mechanical properties of the polymer shell can be determined only by indirect methods, and prior information can improve the adequacy of the properties determination. The method, which allows reducing the requirements for composite sample preparation, is proposed. …

An Implementation Of A Multi-Hop Underwater Wireless Sensor Network Using Bowtie Antenna, Samuel Ryecroft Mr, Andy Shaw Prof, Paul Fergus, Patryk Kot, Khalid Hashim, Alex Teng, Adam Moody, Laura Conway

Karbala International Journal of Modern Science

Water quality is a growing area of research, with more and more focus in the UK and globally on environmental issues and water quality. Current methods of monitoring environmental data such as air quality have continued to develop, spurred on by the growth of the Internet of Things. However, water quality monitoring mainly still depends on manual sample collection. This research presents the first implementation of a multi-hop underwater radio frequency sensor network using bowtie antennas combined with the 433 MHz frequency and a controlled flooding routing approach. The experimental work was conducted in the water reservoir and demonstrates the …

Multiscale Modeling Of Epoxy-Based Nanocomposites Reinforced With Functionalized And Non-Functionalized Graphene Nanoplatelets, Hashim Al Mahmud, Matthew Radue, Sorayot Chinkanjanarot, Gregory M. Odegard

Michigan Tech Publications, Part 1

The impact on the mechanical properties of an epoxy resin reinforced with pristine graphene nanoplatelets (GNP), highly concentrated graphene oxide (GO), and functionalized graphene oxide (FGO) has been investigated in this study. Molecular dynamics (MD) using a reactive force field (ReaxFF) has been employed in predicting the effective mechanical properties of the interphase region of the three nanocomposite materials at the nanoscale level. A systematic computational approach to simulate the reinforcing nanoplatelets and probe their influence on the mechanical properties of the epoxy matrix is established. The modeling results indicate a significant degradation of the in-plane elastic Young’s (decreased by …

Drone-Based Wireless Communications For Disaster Recovery, Mark Rizko, Cameron Burdsall

Computer Science and Engineering Senior Theses

This project aims to establish a drone system that can deploy a wireless mesh network over a disaster area, which would aid in the process of finding survivors by using wireless communications to identify where victims are and allow authorities to send out alerts to people in the area. We also seek to add a device detection feature that would allow the drones to passively look for devices through WiFi and Bluetooth Low Energy, giving disaster responders the ability to actively identify specific devices, locate zones where victims lie, and discern a rough population estimate of that area. Those that …

Enhanced Sensing Methods For Uav-Based Disaster Recovery, Connor Azzarello, Chris Gerbino, Ruchir Mehta

Computer Science and Engineering Senior Theses

Natural and human-caused disasters devastate and displace civilian populations. Over the past century, the rate at which these catastrophes occur has increased dramatically. Climate change and unsustainable human behaviors are large contributors to the occurrence of natural disasters, therefore it is likely this upward trend will continue. The region of the world where a disaster takes place often determines how severe the implications are for the affected civilians. The devastation that occurs from a disaster is much greater in low-resourced regions of the world.

Unmanned aerial vehicles (UAVs) are commonly used to assist first responders during disaster response. The existing …

Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger

Michigan Tech Publications, Part 1

Soil strength characterization is essential for any problem that deals with geomechanics, including terramechanics/terrain mobility. Presently, the primary method of collecting soil strength parameters through in situ measurements but sending a team of people out to a site to collect data this has significant cost implications and accessing the location with the necessary equipment can be difficult. Remote sensing provides an alternate approach to in situ measurements. In this lab study, we compare the use of Apparent Thermal Inertia (ATI) against a GeoGauge for the direct testing of soil stiffness. ATI correlates with stiffness, so it allows one to predict …

College Of Engineering News, Georgia Southern University

College of Engineering & Computing: News & Publications (2010-2023)

• Cesar Carapia won Averitt Award for Excellence in Graduate Research

Optimal Capacitor Placement - A Bibliometric Survey, K V S Ramachandra Murthy, K Prabha Rani, Ramesh Adireddy, Nandan D.

Library Philosophy and Practice (e-journal)

In this paper, Bibliometric survey has been carried out on Optimal Capacitor Placement from 1981 to 2021. Scopus database has been used for the analysis. There were total 909 documents found on the topic of Optimal Capacitor placement. The statistical analysis is carried out source-wise, year-wise, area-wise, Country-wise, University wise, author-wise, and based on funding agency. Network analysis is also carried out based on Co-authorship, Co-occurrence, Citation Analysis and Bibliographic coupling. Results are presented. During 2016, there were 77 documents published which is the highest. International Journal of Electrical Power and Energy Systems of Elsevier has published 37 documents during …

The Impact Of Vision Zero Initiatives On Road User Safety In New York City, Alex C. Phares, Md Amdad Hossen, Kakan Dey

Mountaineer Undergraduate Research Review

Despite modern vehicles, improved transportation infrastructure, and advanced traffic signals, more than 36,000 Americans die from traffic crashes every year1. With the goal of reducing traffic fatalities to zero, New York City (NYC) adopted Vision Zero (VZ) initiatives in 2014 and has deployed 23 categories of countermeasures, ranging from road improvements to training and community outreach programs2. In this research, trend analysis and hypothesis tests were done on NYC traffic fatality data for three main categories of roadway users: motorists, cyclists, and pedestrians, to evaluate the success of the VZ initiatives. It was found that annual fatalities of both motorist …

Handling Of Stealthy Sensor And Actuator Cyberattacks On Evolving Nonlinear Process Systems, Henrique Oyama, Keshav Kasturi Rangan, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Cyberattacks on control systems in the chemical process industries cause concern regarding how they can impact finances, safety, and production levels of companies. A key practical challenge for cyberattack detection and handling using process information is that process behavior evolves over time. Conceivably, changes in process dynamics might cause some detection strategies to flag a change in the dynamics as an attack due to the new data appearing abnormal compared to data from before the dynamics changed. In this work, we utilize several case studies to probe the question of what might be the impacts, benefits, and limitations of cyberattack …

Create: Creative Resources To Express Art Through Engagement, Katherine Sanchez, Ari Soriano

Computer Science and Engineering Senior Theses

To address the current mental health crisis, we propose a platform for co-creative systems that users can utilize as art/music therapy. Art therapy can be an effective way of self-expression that results in psychological benefits and improved mood. We analyze the effectiveness of 8 different systems, 4 musical and 4 art-based. These systems allow the users to create while the computer interacts and responds to their input. The results are evaluated on a before and after emotional assessment that we issue to the user. We targeted college age students and distributed our platform to Santa Clara University students during a …