Data Engineering: Building Software Efficiency In Medium To Large Organizations, 2024 Whittier College
Data Engineering: Building Software Efficiency In Medium To Large Organizations, Alessandro De La Torre
Whittier Scholars Program
The introduction of PoetHQ, a mobile application, offers an economical strategy for colleges, potentially ushering in significant cost savings. These savings could be redirected towards enhancing academic programs and services, enriching the educational landscape for students. PoetHQ aims to democratize access to crucial software, effectively removing financial barriers and facilitating a richer educational experience. By providing an efficient software solution that reduces organizational overhead while maximizing accessibility for students, the project highlights the essential role of equitable education and resource optimization within academic institutions.
A Design Science Approach To Investigating Decentralized Identity Technology, 2024 William & Mary
A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka
Cybersecurity Undergraduate Research Showcase
The internet needs secure forms of identity authentication to function properly, but identity authentication is not a core part of the internet’s architecture. Instead, approaches to identity verification vary, often using centralized stores of identity information that are targets of cyber attacks. Decentralized identity is a secure way to manage identity online that puts users’ identities in their own hands and that has the potential to become a core part of cybersecurity. However, decentralized identity technology is new and continually evolving, which makes implementing this technology in an organizational setting challenging. This paper suggests that, in the future, decentralized identity …
Enhancing Cybersecurity Learning Efficiency: Leveraging Spaced Repetition Systems For Rapid Adaptation, 2024 Collin College
Enhancing Cybersecurity Learning Efficiency: Leveraging Spaced Repetition Systems For Rapid Adaptation, Takudzwanashe Nyabadza
Research Week
No abstract provided.
Secure Cislunar Communication Architecture: Cryptographic Capabilities And Protocols For Lunar Missions, 2024 Collin College
Secure Cislunar Communication Architecture: Cryptographic Capabilities And Protocols For Lunar Missions, Michael Hamblin, Bilal Abu Bakr
Research Week
The surge in lunar missions intensifies concerns about congestion and communication reliability. This study proposes a secure cislunar architecture for real-time, cross-mission information exchange. We focus on cryptographic protocols and network design for a native IPv6 cislunar transit system.
Through a review of internet and space communication advancements, we emphasize the need for a secure network, exemplified by LunaNet. A robust data transit system with encryption is crucial for a common communication infrastructure. Traditional protocols face latency challenges. We advocate for user-friendly encryption methods to address confidentiality within the CIA Triad. Integrity is maintained through cryptographic message authentication codes. Availability …
Optimization Of Memory Management Using Machine Learning, 2024 Southern Adventist University
Optimization Of Memory Management Using Machine Learning, Luke Bartholomew
Campus Research Day
This paper is a proposed solution to the problem of memory safety using machine learning. Memory overload and corruption cause undesirable behaviors in a system that are addressed by memory safety implementations. This project uses machine learning models to classify different states of system memory from a dataset collected from a Raspberry Pi System. These models can then be used to classify real run time memory data and increase memory safety overall in a system.
Pipe Conveyor System For Cylindrical Steel Pipe, 2024 Olivet Nazarene University
Pipe Conveyor System For Cylindrical Steel Pipe, Josiah Paynter, Hannah Harris, Sam Bowden, Nicolas Fuentes
Scholar Week 2016 - present
The Peddinghaus Pipe Conveyor Senior Engineering Design Team was given the task of equipping an existing conveyor system with the ability to convey cylindrical steel pipe down the system while keeping the pipe in line with the datum and passline planes and restricting axial rotation. A metal prototype was constructed out of 0.25” mild steel that can store safely underneath the existing conveyor when not in use and extend when needed to constrain the pipes. Three pneumatic cylinders to actuate the main arm of the prototype were equipped with a polyurethane-coated roller to hold the pipe against both the conveyor …
Enhancing Cyber Resilience: Development, Challenges, And Strategic Insights In Cyber Security Report Websites Using Artificial Inteligence, 2024 Harrisburg University of Science and Technology
Enhancing Cyber Resilience: Development, Challenges, And Strategic Insights In Cyber Security Report Websites Using Artificial Inteligence, Pooja Sharma
Harrisburg University Dissertations and Theses
In an era marked by relentless cyber threats, the imperative of robust cyber security measures cannot be overstated. This thesis embarks on an in-depth exploration of the historical trajectory and contemporary relevance of penetration testing methodologies, elucidating their evolution from nascent origins to indispensable tools in the cyber security arsenal. Moreover, it undertakes the ambitious task of conceptualizing and implementing a cyber security report website, meticulously designed to fortify cyber resilience in the face of ever-evolving threats in the digital realm.
The research journey commences with an insightful examination of the historical antecedents of penetration testing, tracing its genesis in …
The Role Of Attention Mechanisms In Enhancing Transparency And Interpretability Of Neural Network Models In Explainable Ai, 2024 Harrisburg University of Science and Technology
The Role Of Attention Mechanisms In Enhancing Transparency And Interpretability Of Neural Network Models In Explainable Ai, Bhargav Kotipalli
Harrisburg University Dissertations and Theses
In the rapidly evolving field of artificial intelligence (AI), deep learning models' interpretability
and reliability are severely hindered by their complexity and opacity. Enhancing the
transparency and interpretability of AI systems for humans is the primary objective of the
emerging field of explainable AI (XAI). The attention mechanisms at the heart of XAI's work
are based on human cognitive processes. Neural networks can now dynamically focus on
relevant parts of the input data thanks to these mechanisms, which enhances interpretability
and performance. This report covers in-depth talks of attention mechanisms in neural networks
within XAI, as well as an analysis …
Decoding The Future: Integration Of Artificial Intelligence In Web Development, 2024 Harrisburg University of Science and Technology
Decoding The Future: Integration Of Artificial Intelligence In Web Development, Dhiraj Choithramani
Harrisburg University Dissertations and Theses
The thesis explores AI's profound impact on web development, particularly in front-end and back-end processes. AI revolutionizes UI prototyping by automating design creation, enhancing both efficiency and aesthetics. It also aids in code review, content generation, and process flow experimentation, streamlining development workflows. Through AI-driven tools like GitHub's Copilot and Wix ADI, developers benefit from coding assistance and innovative design capabilities. Despite some challenges, AI's evolving role promises to reshape web development, offering unprecedented efficiency and user-centric solutions.
Enhancing Mobile App User Experience: A Deep Learning Approach For System Design And Optimization, 2024 Harrisburg University of Science and Technology
Enhancing Mobile App User Experience: A Deep Learning Approach For System Design And Optimization, Deepesh Haryani
Harrisburg University Dissertations and Theses
This paper presents a comprehensive framework for enhancing user experience in mobile applications through the integration of deep learning systems. The proposed system design encompasses various components, including data collection and preprocessing, model development and training, integration with mobile applications, dataset management service, model training service, model serving, hyperparameter optimization, metadata and artifact store, and workflow orchestration. Each component is meticulously designed with a focus on scalability, efficiency, isolation, and critical analysis. Innovative design principles are employed to ensure seamless integration, usability, and automation. Additionally, the paper discusses distributed training service design, advanced optimization techniques, and decision criteria for hyperparameter …
Predictive Ai Applications For Sar Cases In The Us Coast Guard, 2024 Old Dominion University
Predictive Ai Applications For Sar Cases In The Us Coast Guard, Joshua Nelson
Cybersecurity Undergraduate Research Showcase
This paper explores the potential integration of predictive analytics AI into the United States Coast Guard's (USCG) Search and Rescue Optimal Planning System (SAROPS) for deep sea and nearshore search and rescue (SAR) operations. It begins by elucidating the concept of predictive analytics AI and its relevance in military applications, particularly in enhancing SAR procedures. The current state of SAROPS and its challenges, including complexity and accuracy issues, are outlined. By integrating predictive analytics AI into SAROPS, the paper argues for streamlined operations, reduced training burdens, and improved accuracy in locating drowning personnel. Drawing on insights from military AI applications …
Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization, 2024 University of Central Florida
Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization
Human-Machine Communication
This is the complete volume of HMC Volume 7. Special Issue on Mediatization
Artificial Sociality, 2024 University of Turin, Italy
Artificial Sociality, Simone Natale, Iliana Depounti
Human-Machine Communication
This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …
Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, 2024 University of Bremen
Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen
Human-Machine Communication
As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cultural and societal changes, the much younger field of HMC delves into human meaning-making in interactions with machines. However, the recent wave of “deep mediatization,” characterized by an increasing emphasis on general communicative automation and the rise of communicative AI, highlights a shared interest in technology’s role within human interaction. This introductory article examines the trajectories of both fields, demonstrating how mediatization research “zooms out” from overarching questions of societal and …
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, 2024 Georgia Southern University
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner
Honors College Theses
Modern advancements in machine learning are transforming the technological landscape, including information architecture within user experience design. With the unparalleled amount of user data generated on online media platforms and applications, an adjustment in the design process to incorporate machine learning for categorizing the influx of semantic data while maintaining a user-centric structure is essential. Machine learning tools, such as the classification and recommendation system, need to be incorporated into the design for user experience and marketing success. There is a current gap between incorporating the backend modeling algorithms and the frontend information architecture system design together. The aim of …
Cyber Attacks Against Industrial Control Systems, 2024 Louisiana State University
Cyber Attacks Against Industrial Control Systems, Adam Kardorff
LSU Master's Theses
Industrial Control Systems (ICS) are the foundation of our critical infrastructure, and allow for the manufacturing of the products we need. These systems monitor and control power plants, water treatment plants, manufacturing plants, and much more. The security of these systems is crucial to our everyday lives and to the safety of those working with ICS. In this thesis we examined how an attacker can take control of these systems using a power plant simulator in the Applied Cybersecurity Lab at LSU. Running experiments on a live environment can be costly and dangerous, so using a simulated environment is the …
In-Depth Examination Of Gas Consumption In E-Will Smart Contract: A Case Study, 2024 Faculty of Engineering, Shoubra, Benha University, Egypt
In-Depth Examination Of Gas Consumption In E-Will Smart Contract: A Case Study, Manal Mansour, May Salama, Hala Helmi, Mona F.M Mursi
Journal of Engineering Research
In recent years, blockchain technology, coupled with smart contracts, has played a pivotal role in the development of distributed applications. Numerous case studies have emerged, showcasing the remarkable potential of this technology across various applications. Despite its widespread adoption in the industry, there exists a significant gap between the practical implementation of blockchain and the analytical and academic studies dedicated to understanding its nuances.
This paper aims to bridge this divide by presenting an empirical case study focused on the e-will contract, with a specific emphasis on gas-related challenges. By closely examining the e-will contract case study, we seek to …
A Soft Two-Layers Voting Model For Fake News Detection, 2024 Department of Computer Engineering and Information Technology, Mandalay Technology University
A Soft Two-Layers Voting Model For Fake News Detection, Hnin Ei Wynne, Khaing Thanda Swe
Journal of Engineering Research
The proliferation of fake news has become a complex and challenge problem in recent year, and presenting various unsolved issues within the research domain. Among these challenges, a critical concern is the development of effective models capable of accurately distinguish between fake and real news. While numerous techniques have been proposed for fake news detection, achieving optimal accuracy remains elusive. This paper introduces a novel fake news detection approach employing a two-layered weighted voting classifier. In contrast to conventional methods that assign equal weights to all classifiers, our proposed approach utilizes a selective weighting approach to solve the current issue. …
Exploring Human Aging Proteins Based On Deep Autoencoders And K-Means Clustering, 2024 Computers and Automatic Control Engineering, Faculty of Engineering, Tanta University, Egypt
Exploring Human Aging Proteins Based On Deep Autoencoders And K-Means Clustering, Sondos M. Hammad, Mohamed Talaat Saidahmed, Elsayed A. Sallam, Reda Elbasiony
Journal of Engineering Research
Aging significantly affects human health and the overall economy, yet understanding of the underlying molecular mechanisms remains limited. Among all human genes, almost three hundred and five have been linked to human aging. While certain subsets of these genes or specific aging-related genes have been extensively studied. There has been a lack of comprehensive examination encompassing the entire set of aging-related genes. Here, the main objective is to overcome understanding based on an innovative approach that combines the capabilities of deep learning. Particularly using One-Dimensional Deep AutoEncoder (1D-DAE). Followed by the K-means clustering technique as a means of unsupervised learning. …
Protecting Return Address Integrity For Risc-V Via Pointer Authentication, 2024 University of Massachusetts Amherst
Protecting Return Address Integrity For Risc-V Via Pointer Authentication, Yuhe Zhao
Masters Theses
Embedded systems based on lightweight microprocessors are becoming more prevalent in various applications. However, the security of them remains a significant challenge due to the limited resources and exposure to external threats. Especially, some of these devices store sensitive data and control critical devices, making them high-value targets for attackers. Software security is particularly important because attackers can easily access these devices on the internet and obtain control of them by injecting malware.
Return address (RA) hijacking is a common software attack technique used to compromise control flow integrity (CFI) by manipulating memory, such as return-to-libc attacks. Several methods have …