Digital Commons Network^™

Enhancing Pedestrian-Autonomous Vehicle Safety In Low Visibility Scenarios: A Comprehensive Simulation Method, Zizheng Yan, Yang Liu, Hong Yang

Modeling, Simulation and Visualization Student Capstone Conference

Self-driving cars raise safety concerns, particularly regarding pedestrian interactions. Current research lacks a systematic understanding of these interactions in diverse scenarios. Autonomous Vehicle (AV) performance can vary due to perception accuracy, algorithm reliability, and environmental dynamics. This study examines AV-pedestrian safety issues, focusing on low visibility conditions, using a co-simulation framework combining virtual reality and an autonomous driving simulator. 40 experiments were conducted, extracting surrogate safety measures (SSMs) from AV and pedestrian trajectories. The results indicate that low visibility can impair AV performance, increasing conflict risks for pedestrians. AV algorithms may require further enhancements and validations for consistent safety performance …

A Comparison Of Nonverbal And Paraverbal Behaviors In Simulated And Virtual Patient Encounters, Sarah Powers, Mark W. Scerbo, Matthew Pacailler, Macy Kisiel, Baillie Hirst, Ginger S. Watson, Lauren Hamel, Fred Kron

Modeling, Simulation and Visualization Student Capstone Conference

The present study assessed whether trainees display similar nonverbal and paraverbal behaviors when interacting with a simulated (SP) and virtual patient (VP). Sixty second slices of time following four interactions were rated for the presence and frequency of three nonverbal and paraverbal behaviors. Results revealed that students exhibited fewer behaviors in the VP interaction, possibly due to differences social inhibition or fidelity between the two formats.

U-Net Based Multiclass Semantic Segmentation For Natural Disaster Based Satellite Imagery, Nishat Ara Nipa

Modeling, Simulation and Visualization Student Capstone Conference

Satellite image analysis of natural disasters is critical for effective emergency response, relief planning, and disaster prevention. Semantic segmentation is believed to be on of the best techniques to capture pixelwise information in computer vision. In this work we will be using a U-Net architecture to do a three class semantic segmentation for the Xview2 dataset to capture the level of damage caused by different natural disaster which is beyond the visual scope of human eyes.

Simulating Function Generators And Oscilloscopes In A Virtual Laboratory Environment, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Modeling, Simulation and Visualization Student Capstone Conference

This paper discusses the development of a virtual laboratory for simulating electronic instruments commonly used in science and engineering courses, such as function generators and digital storage oscilloscopes. Mathematical equations are used to represent continuous signals and ensure signal integrity, while C# delegates are adopted to enable communication between simulated devices. The approach allows for loose coupling between software components and high cohesion of individual components, and can be applied to other virtual laboratory developments. The virtual laboratory provides a means for students to gain hands-on experience with electronic instruments and improve their understanding of theoretical concepts.

Assessing Frustration Towards Venezuelan Migrants In Columbia: Path Analysis On Newspaper Coded Data, Brian Llinás, Guljannat Huseynli, Erika Frydenlund, Katherine Palacia, Jose Padilla

Modeling, Simulation and Visualization Student Capstone Conference

This study analyzes the impact of Venezuelan migrants on local frustration levels in Colombia. The study found a relationship between the influx of Venezuelan migrants and the level of frustration among locals towards migrants, infrastructure, government, and geopolitics. Additionally, we identified that frustration types have an impact on other frustrations. The study used articles from a national newspaper in Colombia from 2015 to 2020. News articles were coded during a previous study qualitatively and categorized into frustration types. The code frequencies were then used as variables in this study. We used path modeling to statistically study the relationship between dependent …

Lidar Buoy Detection For Autonomous Marine Vessel Using Pointnet Classification, Christopher Adolphi, Dorothy Dorie Parry, Yaohang Li, Masha Sosonkina, Ahmet Saglam, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

Maritime autonomy, specifically the use of autonomous and semi-autonomous maritime vessels, is a key enabling technology supporting a set of diverse and critical research areas, including coastal and environmental resilience, assessment of waterway health, ecosystem/asset monitoring and maritime port security. Critical to the safe, efficient and reliable operation of an autonomous maritime vessel is its ability to perceive on-the-fly the external environment through onboard sensors. In this paper, buoy detection for LiDAR images is explored by using several tools and techniques: machine learning methods, Unity Game Engine (herein referred to as Unity) simulation, and traditional image processing. The Unity Game …

Applicable Mitigation Strategies And Technology Propositions: Preventing Scamming In Marginalized Populations, Grace Nicole Sandhofer-Adams

Cybersecurity Undergraduate Research Showcase

This essay serves as a proposal for new technology and mitigation against the scamming of marginalized individuals (i.e., those over the age of 65). Research supports this outline, giving background to the types of scams, and prevention strategies currently seen in the cybersecurity landscape. It is evident that the methods we currently use to combat scamming attacks are not effective, therefore, I propose a new solution. This proposed telecommunications strategy is necessary to prevent scamming of all internet users, no matter the device. This telecommunication strategy would use artificial intelligence and machine learning to constantly improve its detection over time, …

Role Of Ai In Threat Detection And Zero-Day Attacks, Kelly Morgan

Cybersecurity Undergraduate Research Showcase

Cybercrime and attack methods have been steadily increasing since the 2019 pandemic. In the years following 2019, the number of victims and attacks per hour rapidly increased as businesses and organizations transitioned to digital environments for business continuity amidst lockdowns. In most scenarios cybercriminals continued to use conventional attack methods and known vulnerabilities that would cause minimal damage to an organization with a robust cyber security posture. However, zero-day exploits have skyrocketed across all industries with an increasingly growing technological landscape encompassing internet of things (IoT), cloud hosting, and more advanced mobile technologies. Reports by Mandiant Threat Intelligence (2022) concluded …

Lack Of Black Female Diversity Within The Cybersecurity Workforce, Eric Preston

Cybersecurity Undergraduate Research Showcase

Cybersecurity methods, strategies, and programs for protecting computers and electronic devices have become critically important in all aspects of the technological infrastructure. However, while this is a vastly growing field that has a large workforce, it suffers from a lack of representation, specifically for Black/African American females. This study examines the barriers that prevent Black women from having representation within the cybersecurity workforce and solutions that address them. Some barriers noted include a lack of role models and resources, historical discrimination and systemic barriers, and cultural norms. Additionally, implications created by these barriers include less diversity, a lack of career …

A Qualitative Analysis Of The Relationship Between Cyberthreats And Democratic Backsliding, Amy I. Browning

Cybersecurity Undergraduate Research Showcase

Interstate conflict has developed beyond conventional tactics to include the cyber realm, making cybersecurity a key component of international relations and an integral part of state defense plans. Research in international security has included the analyses of the relative success or failures of particular cyberattacks. However, the instigators behind these attacks receive comparatively little attention, leaving a gap in knowledge for when, why, and where cyberthreats are likely to emerge. Recent analysis has found that democratic institutions are likely to hinder state-sponsored cyberattack initiation. A consideration that the latest wave of global democratic backsliding could be fueling cyberthreats must be …

Unveiling The Dark Web And The Impact Of Revil's Cyberattacks, Tanya Sasnouskaya

Cybersecurity Undergraduate Research Showcase

The United States Navy originally created the Dark Web for intelligence purposes, but it was later promoted by Western countries as a tool for safeguarding privacy and anonymity. Currently, the Dark Web serves as a platform for deliberate information leaks by nations that want to keep certain information out of the mainstream media. This paper provides an overview of the dark web and the browser used to access it. It covers the layers of the internet and highlights REvil ransomware and some of its technical details. By understanding these risks, users can take appropriate preventive measures to protect themselves from …

The Linkage Between The Climate Change And The Cybercrimes, Min Kim

Cybersecurity Undergraduate Research Showcase

At the beginning of the new era, the rise of the Fourth Industrial Revolution has been rapidly transforming society into a new form that has never been experienced before. While previous industrial revolutions have also contributed to societal growth through phenomenal inventions and discoveries, the Fourth Industrial Revolution has the potential to break the most conventional rule, and one that has dominated social and economic activities: physical interaction. In the near future, sitting at the office, having an in-person meeting, or going on a business trip may no longer be needed as physical barriers are destroyed by cyberspace. However, two …

Cyber Security In Cyber Space, James D. Lee Jr.

Cybersecurity Undergraduate Research Showcase

For almost twenty years, the Internet has been a driving force in global communication and an integral part of people's everyday lives. As a result of technical developments and declining prices, over 3 billion people worldwide now utilize the Internet. The Internet has created a global infrastructure, and it is worth billions of dollars annually to the global economy (Judge et al.). Today's economic, commercial, cultural, social, and governmental activities and exchanges occur in Cyberspace, involving individuals, enterprises, non-profit organizations, and government and governmental agencies (Aghajani and Ghadimi 220). Cyberspace is the birthplace of much of the world's most essential …

Leveraging Artificial Intelligence And Machine Learning For Enhanced Cybersecurity: A Proposal To Defeat Malware, Emmanuel Boateng

Cybersecurity Undergraduate Research Showcase

Cybersecurity is very crucial in the digital age in order to safeguard the availability, confidentiality, and integrity of data and systems. Mitigation techniques used in the industry include Multi-factor Authentication (MFA), Incident Response Planning (IRP), Security Information and Event Management (SIEM), and Signature-based and Heuristic Detection.

MFA is employed as an additional layer of protection in several sectors to help prevent unauthorized access to sensitive data. IRP is a plan in place to address cybersecurity problems efficiently and expeditiously. SIEM offers real-time analysis and alerts the system of threats and vulnerabilities. Heuristic-based detection relies on detecting anomalies when it comes …

A Targeted Study On The Match Between Cybersecurity Higher Education Offerings And Workforce Needs, Diane Murphy, Nektaria Tryfona, Andrew M. Marshall

Virginia Journal of Science

The Cybersecurity Workforce Gap is a call to action on a two-fold problem: the worldwide shortage of qualified cybersecurity workers and the need to develop a growing highly-knowledgeable, agile, well-trained cybersecurity workforce. This paper presents a methodological approach to achieve this goal in the Northern Virginia area. The area is characterized by an abundance of cyber-related industries, government agencies, and large businesses with high demand of skilled cybersecurity workers; at the same time, academic institutions offer cutting edge education and training access to highly capable students. Central to this methodology is the collaboration between local academia and industry and it …

Odu Libraries Newsletter, Spring 2023, Old Dominion University Libraries

Libraries Newsletters

Spring 2023 ODU Libraries Newsletter

The Rise And Risks Of Internet Of Things, Diamond E. Hicks

Cybersecurity Undergraduate Research Showcase

Internet of Things (IoT) has become a necessary part of our everyday lives. IoT is the network in which many different devices communicate, connect, and share data. Though how IoT got to where it is today, the issues it faced, and how it affects our lives today is not common knowledge. Despite the fact that IoT has advanced our technology to what it is today, people do not completely understand what it does.

Monarch Science Observer, Volume 16, College Of Sciences, Old Dominion University

College of Sciences Newsletter

Spring 2023, issue of Monarch Science Observer, ODU Colleges of Sciences Newsletter.

Ddr, Cassandra Jagroop

Graduate Research Conference (GSIS)

Disarmament, Demobilisation and Reintegration (DDR) has been a facet of post-conflict resolution since the 1980s. DDR seeks to address a wide range of issues varying from security to human rights, law, elections, and governance. One of the major issues arising from a conflict region are armed groups involved in the fighting and how to handle them. These armed groups represent the deep insecurity and lack of faith the population has in the state mechanism (Rondeau 2011, 654), thus in order to move ahead in the post-conflict situation the issue of armed groups needs to be tackled. The evolution of warfare …

On Whose Grounds? The Legality And Morality Of Humanitarian Intervention, Paul Pepi

Graduate Research Conference (GSIS)

This article will be broken into four separate parts. The first section will be whether or not there were legitimate legal grounds for the humanitarian intervention broadly. The second section will explore the moral justifications of humanitarian intervention and attempt to distinguish between cases that had a legitimate moral justification for the decision to militarily invade. That being said, there are no certain immoral thresholds for a crisis to reach that immediately prompts humanitarian intervention. The crimes against humanity in Bosnia and Herzegovina paled in comparison to that of the Rwandan genocide; however, humanitarian intervention was practiced far quicker and …

Choices For U.S. Contributions To Nato: Stability Policing In The Age Of Multi-Domain Operations, Nathan M. Colvin

Graduate Research Conference (GSIS)

The United States Army claims they are a “force out of position” and must transform for large-scale combat operations (LSCO). The current narrative toward LSCO warfighting comes at the expense of lessons hard-won over decades of small wars and stability operations. The focus on LSCO is an oversimplification of the complexity and ambiguity of the future operating environment. The Army is trading clarity of narrative at the expense of a force balanced for both LSCO and non-LSCO operations. LSCO perspective assumes a worst-case scenario of war over more likely scenarios of continuous disruptions across a spectrum of conflict, which may …

The Superpowers’ Competition In The Global South: A Historical Perspective, Guljannat Huseynli

Graduate Research Conference (GSIS)

Abstract The history of superpowers' competition in the Global South is a complex and multifaceted topic involving the economic, political, and military interests of powerful nations in the developing world. This paper aims to provide a comprehensive overview of how superpowers have competed for influence in the Global South from the colonial era to the present day. The paper begins by examining the economic, cultural, and political aspects of different types of colonialism in the example of the US, USSR, and China. This focus shows how their motives have evolved over time. It then looks at the ways in which …

F. Ludwig Diehn Concert Series: Sō Percussion, Sō Percussion, Eric Cha-Beach, Josh Quillen, Adam Sliwinski, Jason Treuting

Guest Performances

No abstract provided.

Architecture Of Heptagonal Metallo-Macrocycles Via Embedding Metal Nodes Into Its Rigid Backbone, A.M.Shashika D. Wijerathna, He Zhao, Qiangqiang Dong, Qixia Bai, Zhiyuan Jiang, Jie Yuan, Jun Wang, Mingzhao Chen, Markus Zirnheld, Rockwell T. Li, Yuan Zhang, Yiming Li, Pingshan Wang

College of Sciences Posters

Metal-organic macrocycles have received increasing attention not only due to their versatile applications such as molecular recognition, compounds encapsulation, anti-bacteria and others, but also for their important role in the study of structure-property relationship at nano scale. However, most of the constructions utilize benzene ring as the backbone, which restricts the ligand arm angle in the range of 60, 120 and 180 degrees. Thus, the topologies of most metallo-macrocycles are limited as triangles and hexagons, and explorations of using other backbones with large angles and the construction of metallo-macrocycles with more than six edges are very rare.

In this study, …

Evaluation Of Scalable Quantum And Classical Machine Learning For Particle Tracking Classification In Nuclear Physics, Polykarpos Thomadakis, Emmanuel Billias, Nikos Chrisochoides

The Graduate School Posters

Future particle accelerators will exceed by far the current data size (10¹⁵) per experiment, and high- luminosity program(s) will produce more than 300 times as much data. Classical Machine Learning (ML) likely will benefit from new tools based on quantum computing. Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. A combinatorial approach exhaustively tests track measurements (“hits”), represented as images, to identify those that form an actual particle trajectory, which is then used to reconstruct track parameters necessary for the physics experiment. Quantum Machine Learning (QML) could improve this process in multiple ways, …

Production Of Lithium Carbonate From Geothermal Brine By Selective Extraction Of Lithium Using A Novel Ion Sieve Method, Ujjwal Pokharel, Sandeep Kumar

College of Engineering & Technology (Batten) Posters

The project implements a novel approach to extract lithium from a geothermal brine with minimal water loss. Production of high-capacity lithium-ion (Li-ion) batteries for electric vehicles (EV) is believed to be the way to reduce dependence on fossil-fuel based vehicles. Currently, most of the lithium in the world comes from the mining of lithium or the evaporative/concentration of the brine. Mining is not environmentally friendly, and the evaporative process takes 12 months for the completion of the extraction process and results in a large amount of water loss which can lead to scarcity of water. The brines constitute 82% of …

Computer Based Modeling For Tilt-Wing E-Vtol Propeller Performance, Ege Konuk, Drew Landman

College of Engineering & Technology (Batten) Posters

Recent decades have seen a rapid popularization of Urban Air Mobility (UAM) concepts. The new generation of designs presents a wide range of configurations and approaches to exploit the advantages of these vehicles that can be used in civil, commercial, and military applications. One of the more popular concepts is the tandem tilt-wing e-VTOL configuration. However, these types of VTOL configurations bring challenges for performance prediction during crucial parts of flight operations. The flight dynamics during transition regimes where the vehicle transitions from vertical to forward flight and vice versa is not fully understood. In this research, modified blade element …

Chapter 5: What Books Are In Your Card Catalog?, Julie A. Drewry

A Guide to Library Careers: Choosing Your Path

[First paragraph]

Author’s note: In 1970, Richard Nelson Bolles self-published a book about searching for a job entitled, What Color is Your Parachute? Bolles’ seminal work on job searching was so well received that it has been updated and republished annually since 1975 (Wikipedia, 2022). The title of this chapter, What Books are in Your Card Catalog?, is an homage to that work. Unless you are over the age of 40, the card catalog may not seem relevant due to the replacement of most card catalogs with the online catalog. However, the goal of the card catalog was to enable …

A Simulation Way To Investigate The Reason For Congestion In Urban——A Case Study In Hohhot China, Junqing Wang, Hong Yang, Yuan Zhu, Qingwen Pu, Shunlai Cui

College of Engineering & Technology (Batten) Posters

In the case of high density traffic flow, traditional traffic data statistical analysis methods, which not only have certain errors and lead to inaccurate data, but also have many limitations such as labor consumption, can no longer meet the demand for traffic analysis. Drones for traffic data, based on an aerial bird's-eye view, no offset, and error-free complete statistics of urban road shooting section of all data, while greatly reducing cost consumption. A multi-dimensional simulation model is established for the UAV data to the Hohhot central urban area's road simulation platform. This project will test and explore multidimensional data in …

Investigating The Impacts Of Connected Vehicles On Driving Aggressiveness And Situational Awareness In Highway Crash Scenarios: A Driving Simulator Study, Abdalziz Alruwaili

College of Engineering & Technology (Batten) Posters

Psychological factors such as aggressiveness and situational awareness can impact driving performance. Connected vehicles (CV), equipped with advanced sensors and able to communicate safety messages to drivers, have the potential to influence driving performance by altering drivers’ aggressiveness and situational awareness. This paper aims to investigate the impacts of the CVs on driving aggressiveness and situational awareness in highway crash scenarios where a primary crash has already occurred, and a second crash may occur as a result. To achieve this goal, a driving simulator experiment was conducted, and questionnaires focused on driving aggressiveness and CV effectiveness were distributed. Structural equation …