Digital Commons Network^™

Llm Potentiality And Awareness: A Position Paper From The Perspective Of Trustworthy And Responsible Ai Modeling, Iqbal H. Sarker

Research outputs 2022 to 2026

Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of artificial intelligence (AI), offering unparalleled potential in a variety of application domains such as finance, business, healthcare, cybersecurity, and so on. However, concerns regarding their trustworthiness and ethical implications have become increasingly prominent as these models are considered black-box and continue to progress. This position paper explores the potentiality of LLM from diverse perspectives as well as the associated risk factors with awareness. Towards this, we highlight not only the technical challenges but also the ethical implications and societal impacts associated with LLM deployment emphasizing fairness, …

Recasting The Mould – Librarianship Of The Future: Leveraging Automation, Apis, And Ai, Samantha Seah

Research Collection Library

With leaps in artificial intelligence made in recent years redefining the information landscape and introducing new means of information production, librarianship also must evolve to include new literacies. One way librarians can equip and empower ourselves is by understanding the building blocks of how machines and automation work. Perhaps more important than learning specific programming languages, learning computational thinking provides us with more ways to spot and evaluate problems and devise solutions without extensive coding knowledge. My presentation will take the improvement of membership processing as an example using Power Automate, a low-code Microsoft tool mimicking block programming. The tool …

3d Printing Technology: Challenges, And Potentials In Achieving Sustainable Buildings, Sahar Mohamed Abd El Rahman, Sobhy Ibrahim Esmail

Journal of Engineering Research

The utilization of 3D printing technology in building construction has emerged as a promising approach with the potential to revolutionize the industry and significantly impact sustainability. This paper examines the role of 3D printing in building construction and explores its implications for sustainability. Through the ability to fabricate complex designs with precision and efficiency, 3D printing offers advantages such as reduced material waste, lower energy consumption, and decreased carbon emissions. Additionally, the use of locally sourced, recyclable materials combined with the customization capabilities of 3D printing enhances resource efficiency and minimizes environmental impact. Furthermore, the construction process is streamlined, leading …

Capstone Review: Filament Unit Multiplexing Engine, Gal Cohen

University Honors Theses

The Filament Unit Multiplexing Engine (FUME) is a Mechanical Engineering capstone project sponsored by Portland State University's Electronic Prototyping Lab (EPL). The project addresses the need for an automated system to manage 3D printing operations. The current manual process of selecting and routing a spool of filament to one of the available 3D printers is labor-intensive and limits the efficiency of the lab's 3D printing farm. FUME aims to create a custom solution tailored for a multi-user, multi-spool, and multi-printer environment. The designed system includes key components: a spool holder, an engine, a track and shuttle system, and a funnel. …

Can The Automated State Be Trusted? The Role Of Rule Of Law Safeguards For Governing Automated Decision-Making And Artificial Intelligence, Joanna Mazur, Maciej Bernatt

Georgia Law Review

The goal of this Article is to take a broader perspective on the lessons which can be learned from the implementation of automated decision-making in the public sector—specifically in regard to how procedural rule of law mechanisms can make such projects trustworthy. The underlying idea behind this Article is to posit the debate about the ADM within the context of rule of law as a key notion in liberal democracies. At the same time, we rely on a law and political economy framework. We look through the lens of power relations and assess to what extent selected procedural solutions governing …

Resilient Administrative Technology, Stefanie Egidy

Georgia Law Review

Decision-making in the administrative state increasingly relies on automated information processing. Yet administrative law has not kept pace. This creates a need for an institutional redesign of decision-making processes under the conditions of digitization and presents a window of opportunity to discuss the normative pillars of a renewed architecture for administrative decision-making. Automation creates an impetus for administrative actors to broaden their perspective from making singular, deterministic, and individual decisions to adopting a pluralist, probabilistic, and generalized approach to address any underlying more complex and dynamic problems. Therefore, this Article argues that the conventional normative goals of efficacy, efficiency, and …

Autonomous Bottling And Packaging System - Mechanical Bottling Portion, Kathryn Gray

Honors College Theses

This report details the complete mechanical design of an autonomous bottling automation system. This system is fully integrated with a bottling and packaging system. The scope of the full project is to successfully bottle and cap twelve small bottles (approximately 68 cm3) in under three minutes and thirty seconds. The bottles shall be filled with an “electrolyte” and water mixture, and the mixture should be fully mixed. To complete this task, two tanks will dispense liquid (one electrolyte, and one water) into the bottles. Each tank shall have a measuring chamber, that will fill with the correct amount of volume …

Great South Metals: Slitter Head Building Process, Nabhan Karim, Evan Swierski, Raven Morin, Patrick Kelsey, Michael Williams

Senior Design Project For Engineers

Great South Metals (GSM) operates two steel slitter machines, which take large coils of flat rolled steel and cut them into smaller strips for use in customers’ applications. Setting up the working components of each machine, called the slitter head, is a precise and arduous task. This system relies on several manually performed calculations and acute attention to detail; and thus, is prone to human error. The management at GSM commissioned our team to simplify the slitter head assembly process by creating an automated computer program and make additional recommendations to improve their operations.

The program we created is a …

The Effect Of Workload On Trust Repair: Testing A New Model Of Trust Repair, Jada Lester

All Theses

Given the importance of trust in human-automation interaction, there has been intense activity in understanding trust repair (Esterwood & Robert, 2021). However, despite the numerous trust repair studies, there is no coherent understanding of when and why trust repair works. A recently proposed theoretical model identified two unique categories of trust repair (central and peripheral) and the factors that might affect their success (Pak & Rovira, 2023). The current study tested a specific hypothesis arising from the theoretical model: variations in workload will affect central trust repair efficacy, but peripheral trust repair will be unaffected by workload. Participants engaged in …

Manufacturing On Autopilot: Ohio Automation On Manufacturing Wages And Employment, Joanna Chiu, Téa Tamburo, Lien Tran

Case Western Reserve University Journal Of Economics

In 2017, automation was forecasted to see a 47% increase in the next two decades (Bughin et al. 2017). With the usage of algorithms, automation can now be used for more than routine tasks and has the ability to replace labor in cognitive tasks, greatly expanding the range of roles in the labor market it could take on (Frey et al. 2017). With this, there will be the subsequent impacts on Ohio’s economy and productivity levels in manufacturing and productivity. Ohio is a main state in manufacturing, and 7.6% of Ohio jobs have a high level of exposure to automation …

Adopting Information System Technologies In Construction Project Management, Hadi Haikal

Harrisburg University Dissertations and Theses

The construction sector has remained late in integrated information systems' adopting process to perform the system improving processes. Lack of adoption of technology has been a root cause of the early issues they faced, such as budgetary and scheduling overshoots, quality defects, safety occurrences, and generally poor communication and coordination among the stakeholders. This research looks into the benefits and challenges, the key success factors, and the implications of using an array of information systems, including building information modeling (BIM), artificial intelligence (AI), Internet of Things (IoT) sensing, and enterprise systems, to comprehensively address issues in project management in construction …

Smoothing Out Smart Tech’S Rough Edges: Imperfect Automation And The Human Fix, Christian Katzenbach, Christian Pentzold, Paloma Viejo Otero

Human-Machine Communication

In this article, we take issue with an idea of autonomous and efficient automation that is upheld through the paradoxical conjunction of a flawed vision of the technological fix and the under-acknowledged human work required to fill in the gaps between machines and users. Our argument is based on two case studies that sit at opposite tails of automation processes: the front end of self-service checkouts and the back end of content moderation. This juxtaposition allows us to surface three themes on how the hype around automation is enabled by human interventions: the ad-hoc sociality in situated practices of automation, …

Multi-Aspect Rule-Based Ai: Methods, Taxonomy, Challenges And Directions Towards Automation, Intelligence And Transparent Cybersecurity Modeling For Critical Infrastructures, Iqbal H. Sarker, Helge Janicke, Mohamed A. Ferrag, Alsharif Abuadbba

Research outputs 2022 to 2026

Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets, and services that are vital for the functioning and well-being of a society, economy, or nation. However, the rapid proliferation and dynamism of today's cyber threats in digital environments may disrupt CI functionalities, which would have a debilitating impact on public safety, economic stability, and national security. This has led to much interest in effective cybersecurity solutions regarding automation and intelligent decision-making, where AI-based modeling is potentially significant. In this paper, we take into account “Rule-based AI” rather than other black-box solutions since model transparency, i.e., human …

The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein

Doctoral Dissertations and Projects

As internet technology proliferate in volume and complexity, the ever-evolving landscape of malicious cyberattacks presents unprecedented security risks in cyberspace. Cybersecurity challenges have been further exacerbated by the continuous growth in the prevalence and sophistication of cyber-attacks. These threats have the capacity to disrupt business operations, erase critical data, and inflict reputational damage, constituting an existential threat to businesses, critical services, and infrastructure. The escalating threat is further compounded by the malicious use of artificial intelligence (AI) and machine learning (ML), which have increasingly become tools in the cybercriminal arsenal. In this dynamic landscape, the emergence of offensive AI introduces …

Making Love Easier: Automating Communication For Better Relationship Building For Web Archives, Emily Collier

2024 R&I Day

Starting in Fall of 2023, Ruth Bryan and Emily Collier began researching sustainability for the Web Archiving Program, which led them to building communication channels with the University of Kentucky Office of Public Relations and Marketing Web Content Development group. By tightening this channel, we hope to initiate the archival mindset right at the moment of content creation, as well as limit gaps in our web archives collection as the PR team is directly involved in monitoring sites that go live and expire. Part of this tightening of communication has been finding ways to automate alerts when changes are made …

Cybernetics: How It Compares To Science-Fiction And Future Possibilities, Anindo Majumder

CAFE Symposium 2024

Cybernetics is a branch of science that studies how information is communicated in machines and electronic equipment compared to how information is communicated in the brain and nervous system. It also relates to the theory of automatic control and physiology, particularly the physiology of the nervous system. Usage of cybernetics is very popular in various science-fiction medium. This naturally leads one to be curious if its depictions might turn into reality one day. This research paper delves into the growth of cybernetics since its inception, current applications of cybernetics, and what the future might hold.

National Regulatory Framework For Autonomous Vehicles: Why The United States Must Look Abroad To Find Answers, Taylor K. Hainley

Georgia Journal of International & Comparative Law

Automation is in every aspect of our lives. Autonomous cars, or ‘self- driving cars,’ dominate today’s headlines. There is just one problem: the United States’ legislative infrastructure is not suited for these autonomous cars to become commonplace on the roads. The United States’ fractured system results in a maze of state laws that make it difficult for manufacturers to comply. Other countries, like Germany and Singapore, have enacted systems to make the testing and implementation of autonomous cars more efficient. This Note argues that the United States should follow Germany and Singapore’s models by modifying the definition of “driver” and …

Design Of Automatic Processing Production Line For Fresh Corn, Niu Huli, Zhang Haoyu, Chang Hongjie, Guo Minghao, Yan Haipeng

Food and Machinery

Objective: It solved the problem of low accuracy and large random error when cutting fresh corn, which is easy to damage the grain. Methods: A new process of sweet and waxy corn processing production line was designed, the production line used machine vision technology to judge the attitude of corn, completed the adjustment of corn attitude through reversing equipment, designed adaptive positioning structure to cut the head and tail of corn, and then carried out layer retention processing according to the difference characteristics of ear bract adhesion after cutting results, packed after camera quality screening, and used prototype to carry …

Art In The Age Of Algorithmic Automation And Artificial Intelligence, Milly Skellington

Theses and Dissertations

The 21st century is examined in order to understand how the artists tools have gained unprecedented autonomy.

Yankee Feedstock Project, Nathan Mcanany, Richard Gualtiere

Williams Honors College, Honors Research Projects

This report details the design process, application, considerations, costs, and functionality of an automated tape “feedstock” machine. Yankee Insulation Products will use this project to create rolls of Aluminum foil tape that are included in their Therma-Dome assembly kit. The goal of this design will aid in the streamlining and effectiveness of the current process. When designing the automated process, the current process was evaluated for areas of improvement. Design parameters were also given to the project by the sponsoring company that were to be considered and incorporated.

The Methodology For Integrating Robotic Systems In Undeground Mining Machines, Peter Kolapo

Theses and Dissertations--Mining Engineering

Roof bolting is a critical operation in ensuring the safety and stability of underground mines by securing the roof strata with bolts. The process involves moving and manipulating heavy tools while being vigilant about the safety of the area. During the installation of roof bolts, operators are exposed to hazardous conditions due to challenging working conditions in underground mines, extensive working hours, and demanding shift schedules leading to personnel fatigue and influencing operators to take shortcuts that may increase the risk of injuries and fatal accidents. The successful completion of roof bolting tasks depends heavily on operator judgment and experience …

Decoding Job Market Trends: Chatgpt’S Influence On Soft And Hard Skill Demands, Larkin Barnard-Bahn

Scripps Senior Theses

As the abilities of Artificial Intelligence (AI) grow, automation anxiety (the fear of being replaced by technology) has plagued the workforce—especially after the launch of the advanced Generative AI tool ChatGPT. To avoid structural unemployment, workers may need to invest in developing skills not easily replaced by AI. Some scholars argue that AI is less able to replicate soft skills than hard skills, but the literature lacks studies that indicate a causal effect across industries and occupations. This paper investigates how the public release of ChatGPT has influenced the demand for soft skills relative to hard skills in the U.S. …

Advancements And Challenges In Additively Manufactured Functionally Graded Materials: A Comprehensive Review, Suhas Alkunte, Ismail Fidan, Vivekanand Naikwadi, Shamil Gudavasov, Mohammad Alshaikh Ali, Mushfig Mahmudov, Seymur Hasanov, Muralimohan Cheepu

Engineering Technology Faculty Publications

This paper thoroughly examines the advancements and challenges in the field of additively manufactured Functionally Graded Materials (FGMs). It delves into conceptual approaches for FGM design, various manufacturing techniques, and the materials employed in their fabrication using additive manufacturing (AM) technologies. This paper explores the applications of FGMs in diverse fields, including structural engineering, automotive, biomedical engineering, soft robotics, electronics, 4D printing, and metamaterials. Critical issues and challenges associated with FGMs are meticulously analyzed, addressing concerns related to production and performance. Moreover, this paper forecasts future trends in FGM development, highlighting potential impacts on diverse industries. The concluding section summarizes …

An Empirical Study Of The Relationship Between Automation And Aircrew Accident Performance In High Performance Aircraft Operating In The U.S. Naval Shipboard, Richard Matthew Gensley

Dissertations

The research described in this dissertation was an empirical study of cockpit automation and aircrew accident performance in high performance aircraft. The data set consisted of 3,249 accident records released by the U.S. Naval Safety Center and publicly available information for high performance aircraft based aboard U.S. aircraft carriers between the years of 1980 and 2013. Five conclusions resulted from this study. The first result was a demonstration that through statistical analysis, it is possible to assess if different aircraft over a prolonged period of time have been exposed to a common operating environment. The second result was that while …

Automatic Water Level Indicator In The Field Using Arduino, Mahmud Hasan, Sifat Rahman

American Journal of Science & Engineering (AJSE)

Water is a very important factor in agricultural production and is a key of our quality of life as well. Monitoring water level of a water source, such as dams, water tank or bore-well plays a key role in agricultural management and development. This work aimed at development of an automatic water level indicator. Developing a water level indicator can be helpful to reduce the water wastage. The major components used for the development of the water level indicator were Arduino board, sonar sensor, buzzer, LED lights. The automatic water level monitoring system was realized using a sonar sensor attached …

On Vulnerabilities Of Building Automation Systems, Michael Cash

Graduate Thesis and Dissertation 2023-2024

Building automation systems (BAS) have become more commonplace in personal and commercial environments in recent years. They provide many functions for comfort and ease of use, from automating room temperature and shading, to monitoring equipment data and status. Even though their convenience is beneficial, their security has become an increased concerned in recent years. This research shows an extensive study on building automation systems and identifies vulnerabilities in some of the most common building communication protocols, BACnet and KNX. First, we explore the BACnet protocol, exploring its Standard BACnet objects and properties. An automation tool is designed and implemented to …

Deep Transfer Learning-Based Bird Species Classification Using Mel Spectrogram Images, Mrinal Kanti Baowaly, Bisnu Chandra Sarkar, Md.Abul Ala Walid, Md. Martuza Ahamad, Bikash Chandra Singh, Eduardo Silva Alvarado, Imran Ashraf, Md. Abdus Samad

School of Cybersecurity Faculty Publications

The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels of pollution, and disease occurrences. Traditional methods of bird classification, such as visual identification, were time-intensive and required a high level of expertise. However, audio-based bird species classification is a promising approach that can be used to automate bird species identification. This study aims to establish an audio-based bird species classification system for 264 Eastern African bird species employing modified deep transfer learning. In particular, the pre-trained EfficientNet …

Is Infrared-Collinear Safe Information All You Need For Jet Classification?, Dimitrios Athanasakos, Andrew J. Larkoski, James Mulligan, Mateusz Ploskoń, Felix Ringer

Physics Faculty Publications

Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics. However, it remains unclear in many cases which aspects of jets give rise to this discriminating power, and whether jet observables that are tractable in perturbative QCD such as those obeying infrared-collinear (IRC) safety serve as sufficient inputs. In this article, we introduce a new classifier, Jet Flow Networks (JFNs), in an effort to address the question of whether IRC unsafe information provides additional discriminating power in jet classification. JFNs are permutation-invariant neural networks (deep sets) that take as …

Pulse-Width Modulation Spray System Performance And Development Of A Novel System To Optimize Spray Use Efficacy, Prashanta Pokharel

Theses and Dissertations--Biosystems and Agricultural Engineering

The overarching objective of this research was to enhance our understanding of pulse width modulation (PWM) based nozzle control system and develop an intelligent nozzle control system for agricultural spray applications. This dissertation focused on measuring and analyzing the transient nozzle pressure characteristics and performance under PWM control. Additionally, it explored the development of an innovative multi-degree-of-freedom (DOF) nozzle control system for precise chemical applications in specialty crop systems.

The pressure dynamics of a PWM system were studied by developing an instrumentation system capable of operating a solenoid valve and recording pressure signals. A nozzle body and two manifolds of …

A Systemic Mapping Study On Intrusion Response Systems, Adel Rezapour, Mohammad Ghasemigol, Daniel Takabi

School of Cybersecurity Faculty Publications

With the increasing frequency and sophistication of network attacks, network administrators are facing tremendous challenges in making fast and optimum decisions during critical situations. The ability to effectively respond to intrusions requires solving a multi-objective decision-making problem. While several research studies have been conducted to address this issue, the development of a reliable and automated Intrusion Response System (IRS) remains unattainable. This paper provides a Systematic Mapping Study (SMS) for IRS, aiming to investigate the existing studies, their limitations, and future directions in this field. A novel semi-automated research methodology is developed to identify and summarize related works. The innovative …