Digital Commons Network^™

Toward Cyber-Attack Detection For Industrial Internet Of Things Systems Using Machine Learning, Cayden Cather

Honors Theses

In recent years, the way we interact with daily life and industrial environments has changed dramatically due to the rise of the Internet of Things (IoT), from smart homes to industrial control systems. In particular, industry devices, sensors, and actuators can be connected to form various Industrial Internet of Things (IIoT) networks and controlled using operational technologies, such as ICS and SCADA. However, the vulnerabilities and limited security features pose significant challenges in preserving IIoT systems' security as cyber-attacks increase and become more frequent, dynamic, and complex. Additionally, the lack of IIoT testbeds has made it more difficult to find …

Features Selection In Regression Models Using Variance-Based Sensitivity Analysis, Jakob Spiller

Honors Theses

Variance-based sensitivity analysis serves as a crucial tool for assessing the variability of inputs on the output of complex mathematical models. In this thesis, we study Sobol indices, a class of variance-based sensitivity analysis, to quantify the importance of each input variable on the overall variability of the model output. We initially discuss Sobol’s first and total order indices. This includes a brief demonstration through two examples: the Sobol G-function and a polynomial function each with six input variables. These examples serve to highlight the theoretical foundations and practical applications of Sobol’s indices in analyzing model sensitivities. Mainly, we apply …

Autoethnography For Professional Growth In Science And Social Studies Pedagogy, Grace E. White

Honors Theses

A large body of research shows that reading and math instruction receive significantly more time, attention, and instructional minutes than science and social studies instruction in elementary classrooms(VanFossen, 2005; Wilkens, 2009; Blank, 2013; Rosenshine, 2015). In this study, I use an autoethnographic reflective research framework to combat the challenges of science and social studies professional growth while student teaching at a rural texas elementary school that has chosen to require only math and reading instruction from their teachers. It was found that science and social studies is most easily incorporated through the existing reading and math curriculum. The autoethnographic process …

Integrating Artificial Intelligence For Automated Storytelling In Turn-Based Strategy Games, Timothy Ripper

Theses

This project is inspired by turn-based strategy games, Final Fantasy Tactics, X-Com 2, and modern turn-based strategy games. This project is structured around the use of artificial intelligence for storytelling within strategy games. The focus of this project utilizes artificial intelligence in creating a quest generation system for storytelling. The resulting quest system creates new quests dynamically after communicating with an artificial intelligence allowing players to potentially experience an ever-expanding story from quests

Digitalisation, Neoliberalism And Globalisation Of Higher Education In The Australian Context, Helen Mclean, Hilary Wheaton

Journal of Comparative & International Higher Education

Special Issue

Materiality In The Long Now: Navigating The Intersection Of Decision-Making, Time, And Strategy, Daniel M. Labovitz, Alexander Kontoleon

Dickinson Law Review (2017-Present)

Existing formulations of materiality in the federal securities laws contain an inherent limitation because they don’t adequately account for how risks and opportunities change over time. This can mislead investors looking to understand how well a company is poised to avoid long-dated risks and take advantage of evolving opportunities because those risks and opportunities don’t neatly fit into the rubric of “likelihood of occurrence times magnitude of harm equals materiality.” This is because the likelihood of any long-dated risk occurring within a short reporting time frame will always approach zero, which means the traditional model of materiality will always classify …

Qis-Box: Pioneering Ultralightweight S-Box Generation With Quantum Inspiration, Ghada Alkateb

Mesopotamian Journal of CyberSecurity

This paper presents the quantum-inspired substitution box (QIS-Box) algorithm, a novel approach aimed at enhancing the security of cryptographic S-boxes by leveraging quantum-inspired techniques. The QIS-Box algorithm significantly improves key cryptographic metrics, increasing nonlinearity from 102--110 and reducing differential uniformity from 6--4. Nonlinearity, which measures an S-Box's resistance to linear cryptanalysis, is enhanced to provide stronger protection, whereas differential uniformity, which assesses resilience to differential cryptanalysis, is improved to offer greater defence. These advancements highlight the robust security capabilities of the QIS-Box algorithm against prevalent cryptanalytic attacks. Furthermore, the algorithm demonstrates notable efficiency, making it well suited for implementation in …

Marco: A Stochastic Asynchronous Concolic Explorer, Jie Hu, Yue Duan, Heng Yin

Research Collection School Of Computing and Information Systems

Concolic execution is a powerful program analysis technique for code path exploration. Despite recent advances that greatly improved the efficiency of concolic execution engines, path constraint solving remains a major bottleneck of concolic testing. An intelligent scheduler for inputs/branches becomes even more crucial. Our studies show that the previously under-studied branch-flipping policy adopted by state-of-the-art concolic execution engines has several limitations. We propose to assess each branch by its potential for new code coverage from a global view, concerning the path divergence probability at each branch. To validate this idea, we implemented a prototype Marco and evaluated it against the …

Beyond A Joke: Dead Code Elimination Can Delete Live Code, Haoxin Tu, Lingxiao Jiang, Debin Gao, He Jiang

Research Collection School Of Computing and Information Systems

Dead Code Elimination (DCE) is a fundamental compiler optimization technique that removes dead code (e.g., unreachable or reachable but whose results are unused) in the program to produce smaller or faster executables. However, since compiler optimizations are typically aggressively performed and there are complex relationships/interplay among a vast number of compiler optimizations (including DCE), it is not known whether DCE is indeed correctly performed and will only delete dead code in practice. In this study, we open a new research problem to investigate: can DCE happen to erroneously delete live code? To tackle this problem, we design a new approach …

Great Commission Research Journal Spring 2024, David R. Dunaetz

Great Commission Research Journal

No abstract provided.

Reducing Employee Burnout: The Mediating Role Of Creativity, Salvatore Anthony Leone

Psychology Theses, Dissertations, and Student Creative Activity

Employee burnout represents both a significant financial cost for organizations, and a significant health detriment for society. Scholars estimate that burnout costs the U.S. economy over $125 billion dollars yearly and other researchers attribute over 120,000 worker deaths each year to workplace accidents or medical conditions associated with burnout. The present study explores the role that creativity plays in reducing employee burnout by identifying two highly relevant creativity constructs: creative adaptability and creative process engagement (CPE). A sample of 436 working adults were recruited to respond to two survey batteries separated by a lag of three weeks. The results of …

Toward An Ethical Human-Computer Division Of Labor In Law Practice, Abdi Aidid

Fordham Law Review

In this Essay, I explain that responsible and ethical use of AI in law practice requires reconceptualizing the lawyer’s professional relationship to technology. The current commercial-industrial relationship is based on a stylized model of technology as mechanical application, not calibrated to emergent AI-enabled technologies. Put differently, lawyers cannot interact with AI-enabled technologies the way that they traditionally interact with, say, word processors. For AI-enabled technologies, I explain that a “division of labor” framework is more fruitful; like horizontal professional relationships between peers or vertical ones in professional hierarchies, lawyers ought to interact with sophisticated technologies through arrangements that optimize for …

Generating Derivatives: Ai And Copyright’S Most Troublesome Right, Oren Bracha

North Carolina Journal of Law & Technology

No abstract provided.

Let The Chips Rise: An Analysis Of Semiconductor Start-Ups, Gabriel Guedez

Gabelli School of Business Honors Thesis Collection

The backbone of modern technology, the semiconductor is more relevant on a global scale than ever before. With governments, private companies, and financiers investing tremendous amounts of capital into all areas of the industry, the future of semiconductor innovation is having no issue finding its catalysts. Historically, smaller start-up firms have played an oversized role in ushering in new technologies (Intel, Qualcomm, Nvidia). We explore the unique components of semiconductor start-ups, their sources of funding, and the challenges they face through a comprehensive review of existing research, a hypothesized framework for the evaluation of semiconductor start-ups, and a System Dynamics …

From Crossing Campus To Crossing Continents: Faculty, Chair, And Global Partner Perspectives On An International Sabbatical, Emily Faulconer, Beverly L. Wood, Stephen George-Williams

Publications

A sabbatical – a period of paid leave granted to faculty for research or study - is a construct in higher education that has experienced ebbs and flows in its favorability, though there are persistent arguments that it is important for research-active faculty (Pietsch, 2011). Early career faculty are focused on achieving tenure as this is high stakes at most institutions. Once tenure is achieved, the next goalpost is full professor. The day-to-day responsibilities of faculty can distract from and dilute efforts aimed at strategic planning, long-term planning, and reflection necessary to achieve this level of promotion. So it follows …

Towards A Wearable Device For Measuring Impedance Plethysmography Of The Radial Artery, Pritom Chowdhury

Dartmouth College Master’s Theses

Recent advancements in bioimpedance technology have demonstrated significant promise in the application of cardiac health monitoring. This research explores the design and development of a forearm-based wearable bioimpedance device for non-invasive measurement of heart rate and respiratory rate at an accuracy level comparable to medical-grade monitors. It utilizes a tetrapolar electrode configuration to analyze bioimpedance changes in the radial artery due to blood flow.

An ongoing aspect of this work involves the preliminary development of an embedded framework intended to integrate signal generation, acquisition, and processing within the device to achieve compact and efficient system design, anticipated to contribute to …

Exploring Lstm-Based Attention Mechanisms With Pso And Grid Search Under Different Normalization Techniques For Energy Demands Time Series Forecasting, Andri Pranolo, Xiaofeng Zhou, Yingchi Mao, Bambang Widi Pratolo, Aji Prasetya Wibawa, Agung Bella Putra Utama, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad

Knowledge Engineering and Data Science

Advanced analytical approaches are required to accurately forecast the energy sector's rising complexity and volume of time series data. This research aims to forecast the energy demand utilising sophisticated Long Short-Term Memory (LSTM) configurations with Attention mechanisms (Att), Grid search, and Particle Swarm Optimization (PSO). In addition, the study also examines the influence of Min-Max and Z-Score normalization approaches in the preprocessing stage on the accuracy performances of the baselines and the proposed models. PSO and Grid Search techniques are used to select the best hyperparameters for LSTM models, while the attention mechanism selects the important input for the LSTM. …

Hybrid Method For User Review Sentiment Categorization In Chatgpt Application Using N-Gram And Word2vec Features, Husna Luthfiatun Nisa, Atina Ahdika

Knowledge Engineering and Data Science

The rapid development of Artificial Intelligence (AI) has significantly influenced nearly all aspects of life. One AI product widely used by people worldwide is the Chat Generative Pre-Training Transformer (ChatGPT), which can respond to questions conversationally. Although data indicates that the use of ChatGPT in Indonesia is less widespread than in other countries, a Populix survey reveals that half of the respondents have utilized ChatGPT, using AI more than once a month. This indicates its crucial role among the Indonesian population. ChatGPT is not limited to browsers; it is also available as a downloadable application on the Google Play Store. …

Convolutional Neural Network In Motion Detection For Physiotherapy Exercise Movement, Dika Fikri Laistulloh, Anik Nur Handayani, Rosa Andrie Asmara, Phillip Taw

Knowledge Engineering and Data Science

Physiotherapy focuses on movement and optimal utilization of the patient's potential. Exercise Therapy is a physiotherapy procedure that specifically focuses exercises on active and passive movements. Cerebral Palsy (CP) patients are one of the sufferers of motor disorders of the upper extremities. Cerebral Palsy (CP) patients suffer from disorders in motor functions of the upper extremities. Physiotherapy Exercise Movement has 4 categories of movement exercises for the therapy of people with upper extremity body disorders: Elbow flexor strengthening in sitting using free weights, lifting an object up, reaching diagonally in sitting, and reaching from a low surface to a high …

Optimizing Malaria Control: Granular And Cost-Effective Mosquito Habitat Index In Endemic Areas Through Satellite Imagery, Nur Ainun Daulay, Salwa Rizqina Putri, Arie Wahyu Wijayanto, Ika Yuni Wulansari

Knowledge Engineering and Data Science

Malaria, classified as a tropical disease under the Sustainable Development Goals (SDGs) indicator 3.3, remains a significant global health challenge. In this study, by taking advantage of multiple spectral composite indexes of multisource satellite imagery to capture various geospatial features relevant to the suitability of marsh mosquito habitat, we introduced the Mosquito Habitat Suitability Index (MHSI) to assess potential Anopheles mosquito breeding sites in terms of the vegetation density, water bodies, environment temperature, and humidity in any particular areas. The MHSI integrates the publicly accessible granular level of the normalized difference vegetation index, water index, land surface temperature, and moisture …

Docker Optimization Of An Automotive Sector Virtual Server Infrastructure, Leonel Hernandez, Carlos Eduardo Uc Rios

Knowledge Engineering and Data Science

Server virtualization is a powerful strategy for optimizing network infrastructure. It allows multiple virtual servers to run on a single physical server, maximizing resource utilization and improving efficiency. Deploying server virtualization using Docker technology offers a lightweight and flexible approach to optimizing network infrastructure. Docker contains package applications and their dependencies, enabling consistent and efficient deployment across various environments. Specifically, optimizing virtual server infrastructure using Docker Technology in the automotive sector focuses on improving the efficiency and management of the company's virtual server resources. By implementing Docker technology, a container platform that allows the packaging and running of applications in …

Timbre Style Transfer For Musical Instruments Acoustic Guitar And Piano Using The Generator-Discriminator Model, Widean Nagari, Joan Santoso, Esther Irawati Setiawan

Knowledge Engineering and Data Science

Music style transfer is a technique for creating new music by combining the input song's content and the target song's style to have a sound that humans can enjoy. This research is related to timbre style transfer, a branch of music style transfer that focuses on using the generator-discriminator model. This exciting method has been used in various studies in the music style transfer domain to train a machine learning model to change the sound of instruments in a song with the sound of instruments from other songs. This work focuses on finding the best layer configuration in the generator- …

Using Pose Estimation To Identify Goalkeeper Movement Timing, Chethan Reddy

Health and Kinesiology Theses

Background: Markerless human pose estimation has the potential to revolutionize sports analytics by providing detailed insights into athlete movement. The research presented in this thesis explores how open source pose estimation can be utilized to identify goalkeeper dive initiation during soccer penalty kicks.

Purpose: The purpose of this study is to provide an accessible, low-cost heuristic methodology for identifying goalkeeper dive initiation.

Methods: This study uses high-definition single camera broadcast footage (1080p resolution, 50 frames per second) of all 41 penalty kicks attempted during the 2022 FIFA Men’s World Cup. We isolated each penalty kick from kicker run-up to kick …

Optimization Of Human Interactions In The College Campus Model Via Simio Integration, Benjamin E. Chaback

Doctoral Dissertations and Master's Theses

College campuses are a significant part of life in some cities. Many students each year attend university, pursuing additional knowledge from faculty members. Both staff and faculty members rely on these students to have successful jobs and to ensure the university functions. Yet recently, more and more students are attending, leading to overcrowding, lower admission rates, and difficulty getting into good programs. Previous work exists on qualitative student affairs and quantitative retention data, yet little on using simulations to model this problem. This work aimed to (a) Determine the ability to successfully model human interactions/people flow on a college campus, …

Factors Predicting Public’S Willingness To Support National Aeronautics And Space Administration’S Artemis Mission, Sean Crouse

Doctoral Dissertations and Master's Theses

NASA's Artemis program aspires to return astronauts to the moon and aims to land the first woman and person of color on the lunar surface. The endeavor symbolizes the next evolution in space exploration and serves as a testament to the human spirit of discovery. In the face of this significant undertaking, gauging public sentiment and understanding the factors driving public support becomes necessary. The current study aimed to address a critical gap in the literature by examining public support for NASA’s Artemis mission, which is essential for sustaining the program’s momentum and cultivating a culture of innovation and exploration. …

Low Cost Magnetometer Calibration And Distributed Simultaneous Multipoint Ionospheric Measurements From A Sounding Rocket Platform, Joshua W. Milford

Doctoral Dissertations and Master's Theses

Low-cost and low-size-weight-and-power (SWaP) magnetometers can provide greater accessibility for distributed simultaneous measurements in the ionosphere, either onboard sounding rockets or on CubeSats. The Space and Atmospheric Instrumentation Laboratory (SAIL) at Embry-Riddle Aeronautical University has launched a multitude of sounding rockets in recent history: one night-time mid-latitude rocket from Wallops Flight Facility in August 2022 and three mid-latitude rockets from White Sands Missile Range during the October 2023 annular solar eclipse. All rockets had a comprehensive suite of instruments for electrodynamics and neutral dynamics measurements. Among this suite was one science-grade three-axis fluxgate magnetometer (Billingsley TFM65VQS / TFM100G2) and up …

Development Of On-The-Fly Quasi-Steady State Approximation For Chemical Kinetics In Cfd, Abhinav Balamurugan

Doctoral Dissertations and Master's Theses

This study analyzes the feasibility of On-The-Fly Quasi-Steady-State Approximation (OTF-QSSA) application for solving chemical kinetics within Computational Fluid Dynamics (CFD) simulations, aiming to reduce the computational demand of detailed mechanisms. An algorithm that dynamically identifies and designates Quasi-Steady-State (QSS) species at specific grid locations and instances during the simulation was developed. With this information, our method pseudo-delays the advancement of concentrations for these QSS species—effectively setting their rate of concentration change to zero for a set number iteration before updating using the detailed mechanism and thereby omitting the computationally intensive processes typically required for their calculation during those skipped iteration. …

Distributed Adaptive Control Methods For Uncertain Multiagent Systems With Coupled Dynamics, Islam Aly

Doctoral Dissertations and Master's Theses

For a multiagent system, a major challenge is achieving overall system stability and performance in the presence of not only uncertainties but also coupled dynamics. Another challenge for these systems is designing distributed adaptive controllers with user-assigned positions in this case and defining the convergence rate of the reference model for each agent using only local (i.e., agent-based) information. Discrete-time architectures have an advantage over their continuous counterparts as they can be directly executed on embedded hardware without the need for discretization. Yet, because of the difficulty of ensuring Lyapunov difference expressions, their designs, which are based on quadratic Lyapunov-based …

Ti Nano Powder Speckle Pattern Creation And Use In Dic Of Zno Modified Single Carbon Fibers, James Matthew Harris

Doctoral Dissertations and Master's Theses

As the use of composites continues to grow across aerospace, naval, automotive, construction, 3D printing, and other countless industries, so does the desire to continuously improve their mechanical properties. Improving the adherence of the fiber-matrix interface is one important step for amplifying the capabilities of composites. Work has been performed in modifying carbon fibers by growing zinc oxide (ZnO) nanorods in the fiber surface using a hydrothermal approach, increasing interfacial area and fiber-matrix friction. Macroscale evaluation has shown that the interfacial modification decreases the inter-ply movement and reduces the processing strains and residual stresses. To fully understand the mechanism taking …

Passenger Traits That Predict The Bystander Intervention Model Steps During An Inflight Assault On A Flight Attendant, Michael Pettit

Doctoral Dissertations and Master's Theses

Every major U.S. airline has experienced a violent inflight assault on one of their flight attendants. The problem is becoming more widespread, but industry leaders have few coping strategies. The first step toward addressing the issue is understanding the various aspects of the event, including the actions of other passengers (bystanders) who may witness the assault. There is ample literature on bystander reactions to similar events such as bullying, medical emergencies, injuries, and violent attacks, but none dedicated to a flight attendant assault or passenger reactions to it.

At the core of bystander action is the bystander effect, which postulates …