Digital Commons Network^™

Llm-Driven Fmea For Safe Human-Robot Collaboration In Disassembly, Morteza Jalali Alenjareghi, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Articles dans des actes de congrès

Disassembly operations often present unstructured and unpredictable scenarios, such as handling hazardous materials, addressing ergonomic strain, and managing dynamic robot interactions that pose safety risks. To tackle these challenges, we propose an innovative use of large language models (LLMs) to enhance failure mode and effect analysis (FMEA) in the context of human-robot collaboration (HRC) for disassembly tasks. We developed an LLM system leveraging retrieval-augmented generation (RAG) for real-time risk analysis and recommendation generation. RAG retrieves domain-specific information from the FMEA knowledge database, enabling accurate risk analysis, contextual understanding, and relevant recommendations based on user input and operational data. Evaluation of …

Effect Of Ventilation And Wearing A Facemask In Reducing Indoor Aerosol Transmission, Clothilde Brochot, Ali Bahloul

Articles dans des actes de congrès

The COVID-19 pandemic has significantly disrupted research in respiratory protection and transmission routes. Indeed, the pandemic has highlighted a number of issues, including those related to the performance and use of respiratory protective equipment such as masks and ventilation. A plethora of commercial and homemade masks have widely appeared during the pandemic, although they are not yet fully regulated in performance and fit test. However, with regard to the source reduction process, testing facemasks not at the inhalation, but at the source (exhalation) offers a new perspective on how to prevent particle emissions. Different means of transmission reduction are measured …

Baas Applied Engineering, Technology

Program Revisions/Additions

No abstract provided.

Stakeholder Perspective-Taking In Engineering Design; A Neurocognitive Approach, Megan Taylor, Yakhoub Ndiaye, Jenn Campbell

2025 Research Poster Competition

During the engineering design process, the ‘black box’ of a designer's mind determines who the stakeholders are, which stakeholder needs they are addressing and how they will address them. This process can build bias into engineering designs, leading to less equitable, accessible, and inclusive engineered artifacts. Design neurocognition, a new field that aims to determine the unknowns of a working designer’s mind, has arisen because of this uncertainty. The fNIRS (Functional Near-Infrared Spectroscopy) allows insight into the prefrontal cortex during decision making processes by analyzing the change in oxygenated blood in the surface of the prefrontal cortex, about 3 cm …

Wiring Attachment, Alexander K. Bacon

Theses and Dissertations

This thesis began with a question: can diagrams create understanding, or only reflect it? Through paintings that layer automotive wiring schematics with family photographs, I explore how the human attachment system resists easy mapping. Using digital tools like Photoshop and scanning, alongside analog methods such as papier-collé and photo transfer, I examine how systems built for clarity—like wiring diagrams—contrast with the layered, often messy realities of human relationships. Drawing from attachment theory’s empirical foundation, rather than the metaphorical leanings of psychoanalysis, my work investigates how emotional bonds form, falter, and repair over time. Material loss and layering are not flaws, …

Simulation Of Photochemical Effects On Air Quality, Grace Li

2025 Research Poster Competition

Nitrogen dioxide is an atmospheric pollutant with largely anthropogenic sources; it is a combustion side product often produced by automobiles and industrial activity. It has negative effects on the respiratory system. In addition to being a pollutant itself, nitrogen dioxide is also a contributor to tropospheric ozone through photochemical reactions, both of which are EPA criteria air pollutants. Nitrogen dioxide and ozone participate in a net-zero reaction cycle in which the formation of ozone is rate-limited by the photolysis rate of nitrogen dioxide. The destruction of ozone and reformation of nitrogen dioxide is a fast reaction unaffected by photochemistry, therefore …

Exploring User Sentiment On Social Issues Via Neural Network Transfer Learning In Digital Communities, Ananya R. Vangoor

2025 Research Poster Competition

Understanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.

To begin, I will be training a neural network on X, formerly known as Twitter, tweets to categorize each tweet as either pro-luck or …

Analyzing Unmanned Aircraft System (Uas) Incidents From Nasa Asrs Data Using Unsupervised Machine Learning, Kacey Haws, Neelakshi Majumdar

2025 Research Poster Competition

The NASA Aviation Safety Reporting System (ASRS) assembles voluntarily submitted aviation safety incident reports in their database to act on the information provided. This database allows the government, companies, and citizens to submit incident or situational reports to its database to discern recurring issues in the National Aviation System (NAS) so that the proper officials can act [1]. The narratives provided in these reports are text-based, resulting in large amounts of data to process. Previous work in the University of Arkansas Aerospace Systems Engineering and Transportation Laboratory (ASYST) lab involved parsing unmanned aircraft system (UAS) incident reports manually. While these …

Effect Of Vibration Isolation During Transportation On Beef Sirloin Subprimal And Steak Quality, Kylie Nevada Krueger

Electronic Theses and Dissertations

The objective of this study was to determine the influence of vibration during transportation on beef sirloin water holding capacity, color, and tenderness. USDA Choice center-cut sirloin top butts (n = 45 cases) were collected at a commercial processing facility and randomly allocated to one of three treatments 1) regular pallet driven 241 km (Reg241), 2) regular pallet driven 644 km (Reg644), and 3) vibration isolation pallet driven 644 km (Iso644). All subprimals were transported at -2.2 °C (d0) and stored for 10 days to mimic industry practices for product aging. Following storage (d11), one subprimal per case was evaluated …

Rightly Dividing Jus Ad Bellum And Jus In Bello In The Israel/Hamas War, Jeffrey F. Addicott

Faculty Articles

The purpose of this paper is to: (1) review the applicable rule of law as it relates to both the initiation of warfare and the use of armed force in the execution of that warfare; and (2) apply those legal standards to the facts associated with the Israel/Hamas conflict. While this may seem an easy task – to set out unanimity in the international community – it is not. The inability to set bright lines of distinction between aggressors and those acting in self-defense is not just a failure in definition or even understanding, it is a failure to legitimize …

Mental Health And Treatment Use In Undergraduate Engineering Students, Matthew D. Whitwer, Sarah A. Wilson, Joseph H. Hammer, Brenna Gomer

Educational, School, and Counseling Psychology Faculty Publications

Background: Engineering students experience high levels of distress and low rates of mental health treatment seeking, yet there is a gap in knowledge around how this compares with that of students in other fields of study. Given the influence of social identity (e.g., gender identity, race/ethnicity) on mental health and treatment seeking, it is important to account for sociodemographic variation across fields when performing such comparisons. Purpose: This study used Andersen's Behavioral Model to compare mental health distress and treatment use between students in engineering and other fields while controlling for sociodemographic factors. Methods: Survey data came from the 2021–2022 …

Sunlight, Veiled, Sina Ahmadkhani

Theses and Dissertations

Sunlight, Veiled is a narrative short film exploring themes of displacement, class, and identity through the lens of an Iranian intern navigating a morally ambiguous company party in the United States. This written component traces the evolution of the project from development through post-production, while reflecting on the personal and political frameworks that shaped the creative process. Through cinematic references, cultural analysis, and production insight, the paper aims to contextualize the film within a diasporic experience and a growing awareness of social power dynamics. It also reflects on the challenges of filmmaking as an outsider, where self-doubt, cultural translation, and …

Commencement Program, 2025, Cuny John Jay College Of Criminal Justice

Reports and Publications from John Jay College

Commencement Programs are handed out at each graduation. They include information on honorary degrees, awards and prizes and candidates for degree. However, they cannot be considered an official record of conferring of degrees.

Who Grows There? Rethinking Forest Types Beyond Biomass And Composition In Coastal Ecuador, Evelyn Kent

Geography Honors Projects

Tropical Dry Forests (TDFs) are among the world’s most threatened ecosystems. Many are biodiversity hotspots, and most are fragmented and vulnerable to deforestation, wildfires and climate change. TDFs also receive less conservation attention compared to other tropical forest types. To provide critical baseline information for their conservation, this research defines and quantifies the extent of different forest types and their respective aboveground biomass (AGB) in a fragmented TDF landscape in Manabí, Ecuador. Focusing on two forest reserves and their adjacent areas, we used tree plot inventories (N=16) and community composition analyses to define forest types based on tree community composition. …

Exploring The Stem Career Identity Development Of Black Women Across Their Lifespan, Veronica Hurd

Theses and Dissertations

Although STEM is the fastest-growing career sector, Black women are grossly underrepresented as they account for 2.5% of the workforce. Research highlights that this underrepresentation is due to racialized structures in K-12, postsecondary, and career settings that restrict Black girls’ and women’s STEM opportunities. While macrosystems such as hegemonic ideologies, attitudes, and social conditions shape Black girls’ and women’s opportunities in STEM, they continue to persist and achieve their career goals. To explore these barriers and Black women’s persistence in this industry, this study draws from the autobiographical memories of 10 Black women in the field or formerly in the …

Multitask Learning For Named Entity Recognition And Relationship Extraction, Adrienne D. Hembrick

Theses and Dissertations

Information Extraction (IE) is a fundamental task in Natural Language Processing (NLP), involving the identification of structured information from unstructured text. Two core components of IE—Named Entity Recognition (NER) and Relation Extraction (RE)—are widely used to extract key concepts and the relationships between them across various domains. However, the sequential dependency of RE on the output of NER makes it vulnerable to error propagation: inaccuracies in entity recognition can negatively affect downstream relation extraction.

To mitigate this issue, Multitask Learning (MTL) has been proposed as an approach that jointly models NER and RE, aiming to improve overall performance and reduce …

Expanding The Performance And Functionality Of Air-Jet Dry Powder Inhalers Across Multiple Applications, Ghali H. Aladwani

Theses and Dissertations

This dissertation aims to expand the performance and functionality of air-jet dry powder inhaler (DPI) applications through the development of a next-generation, mesh-nebulizer-based, and scalable spray dryer for the production of pharmaceutical aerosols, along with new spray-dried formulation production methods, novel formulations, and new air-jet DPI components for aerosol delivery to both infants and adults. The first aim focused on the development of a custom small-particle spray drying system capable of integrating vibrating mesh nebulizer technologies in various configurations for the production of excipient enhanced growth (EEG) formulations. This flexible system enabled efficient production of both small- and large-particle powders …

Pla Polymer Binder In Core Production - Influence On Final Casting Dimensions, Artur Soroczyński, Krzysztof Rechowicz

Virginia Digital Maritime Center (VDMC) Faculty Publications

The foundry industry is seeking an ecological alternative to synthetic molding resins. This study evaluates the technological properties of core sands bonded with biodegradable polylactide (PLA). Cores prepared on a 2% quartz sand matrix were subjected to casting processes using two alloys with extremely different pouring temperatures: gray cast iron (approx. 1200 °C) and AK11 silumin (approx. 710 °C). The research methodology included macroscopic assessment, dimensional analysis using 3D scanning (GOM Inspect), and qualitative knock-out assessment supported by numerical temperature field simulation. The results showed that the high crystallization temperature of cast iron leads to complete thermal degradation of the …

Optical Study Of Small Jet Engine Combustion Ignition, Bryce Anthony Ullman

Browse all Theses and Dissertations

Improving the ignition reliability in small-scale gas turbine engines is critical for safety aspects of auxiliary power units (APUs). To better understand the ignition characteristics of these small-scale combustors, an optically accessible combustor is designed and tested. The combustor accommodates twelve prevaporizer tubes (PVTs) in accordance with the commercial-off-the-shelf (COTS) rendition and allows for interchangeable materials (quartz and Inconel) and igniter positions. Another notable design feature introduces a quartz outer combustor liner to allow visualization into key regions of the combustor. The study aims to replicate a COTS ignition sequence using glow plug igniters and examine the effects of different …

Transient Power And Thermal Management Of A Hypersonic Vehicle, Jacob H. Jadischke

Browse all Theses and Dissertations

Design of high speed vehicles necessitates incorporating power generation and thermal management systems. Power generation is required as traditional high-speed propulsion sources do not contain rotating components to extract power, and the harsh external thermal environment calls for thermal management. To size these systems, the transient power requirements and the heat generated inside the vehicle must be understood. Sizing these systems at the earliest stages of the vehicle design allows for a more optimized geometry and a trajectory to design the most favorable vehicle. Characterization of these low-quality power and thermal loads from the actuation and fuel pump subsystems has …

Enhanced Diagnostics And Surveillance Of Enteroviruses Including Serotypes Associated With Acute Flaccid Myelitis, Denise Lynette Kramer

Browse all Theses and Dissertations

Prior to 2014, Enterovirus D68 infections typically caused symptoms resembling the common cold. From 2014-2018, D68 was associated with an increase in acute flaccid myelitis. However, since 2020, neurological complications have all but disappeared. We selected 1076 respiratory specimens previously determined to be positive for rhinovirus or enterovirus from Department of Defense members and their beneficiaries collected globally from October 2018 through January 2024 and underwent sequencing. Of these specimens, 93.7% were identified as rhinoviruses, while 6.3% were enteroviruses, including 30 enterovirus D68. We utilized the Nextstrain bioinformatic pipeline to reconstruct the phylogenetic relationship of these 30 D68 viruses. Twenty-two …

Leveraging Counterfactuals For Enhanced Natural Language Inference: A Multitask Knowledge Distillation Approach, Brian J. Davis

Browse all Theses and Dissertations

Natural-language inference (NLI) asks whether a hypothesis is entailed by, contradicts, or is neutral with respect to a premise. Modern transformers reach high raw accuracy on benchmarks such as SNLI, MNLI, and ANLI, yet they often rely on brittle lexical shortcuts and provide little insight into their decision process. This thesis shows that counterfactual-augmented knowledge distillation can simultaneously boost robustness and supply faithful, token-level explanations—without scaling model size. Four T5-v1_1 students (60M, 220M, 770M, 3B parameters) are trained under four curricula: (1) standard fine-tuning, (2) fine-tuning with free-text rationales, (3) multi-task distillation with naive counterfactuals, and (4) multi-task distillation with …

Hardware Trojan Detection In A Segmented Mixed-Signal Circuit Via Leakage Current, Christopher James Otey

Browse all Theses and Dissertations

As computers and integrated circuits become more commonplace, the risk of a Hardware Trojan attack becomes more worrisome. Trojans can exploit design flaws or be inserted between essential components to leak information, change the circuit function, or destroy the circuit altogether. Several methods of trojan detection and prevention have been introduced, however few can handle combined analog and digital circuits, known as mixed-signal circuits. This thesis demonstrates a Hardware Trojan detection method implemented in an Analog-to-Digital Converter (ADC), which is a mixed-signal circuit. The detection method involves splitting the circuit into segments with approximately equal leakage currents (a large part …

Computational Analysis Of A Hafnium-Titanium Alloy Mechanical Properties From First Principles, Abdul Mughni

Browse all Theses and Dissertations

Hafnium and titanium, along with zirconium, are refractory metals with unique properties suitable for extreme-environment applications. Utilizing alloys based on these elements can provide suitable materials with engineered properties. Understanding their mechanical properties is necessary to determine appropriate applications. This thesis research aims at employing quantum-based atomistic simulations to estimate mechanical properties of pristine hafnium, titanium and an alloy based on these elements. The results are compared to available experimental data and the corresponding implications are explored.

Data-Driven Prediction Of Temperature Distribution In Multi-Laser Powder Bed Fusion Using Convolutional Neural Networks, Majid Dousti

Browse all Theses and Dissertations

Additive Manufacturing (AM), particularly Laser Powder Bed Fusion (L-PBF), has gained significant traction in fabricating complex, high-performance metallic components. However, the inherent complexity and computational cost of high-fidelity simulations pose challenges for real-time monitoring and optimization of multi-laser powder bed fusion processes. This study proposes a data-driven surrogate modeling approach using a deep learning architecture to efficiently and accurately predict three-dimensional temperature distributions during ML-PBF. A 3D convolutional neural network (CNN) model, named Decoder-CNN, is developed and trained on a dataset of simulated thermal fields corresponding to various process configurations, including different laser power, scanning speed, and beam arrangements. The …

Optimizing Cloud Computing Resources For Operational Cost And Application Performance Using Machine Learning, Isaac K. Matthew

Browse all Theses and Dissertations

As AI-driven workloads accelerate the growth of cloud initiatives and spending, resource waste also increases due to persistent inefficiencies in cloud compute and infrastructure management. Overprovisioned resources and suboptimal configurations often lead to operational inefficiencies and unnecessary financial overhead. These challenges arise from the difficulty of anticipating resource demands in dynamic workloads and selecting suitable virtual machines to ensure optimal performance. Our research proposes a holistic, data-driven framework for managing cloud compute resources that reduces costs without compromising application performance. We integrate a predictive, model-driven, threshold-based autoscaling solution for cloud-native applications with an optimized instance right-sizing approach to select cost-effective …

Characterization Of Atr Kinase Function In Quiescent Keratinocytes Exposed To Solar Simulating Uv Radiation, Mohamed Sameer Cholakkathody

Browse all Theses and Dissertations

This study examines the role of Ataxia Telangiectasia and Rad3-related kinase in quiescent human keratinocytes exposed to solar-simulated UV radiation (SSL). The ATR inhibitor VE-822 did not significantly affect cell viability in the absence of UV exposure, showing that ATR kinase activity is not essential for quiescent cell survival in the absence of additional genotoxic stress. After SSL exposure, ATR inhibition did not impact acute cell viability but reduced the cells’ long-term ability to proliferate. Western blot analysis demonstrated that VE-822 potently suppressed phosphorylation of ATR target proteins KAP1 and CHK2 in a dose-dependent manner after SSL exposure, confirming strong …

Evaluating Geometric Accuracy In 3d Printing (3dp) Comparative Study Of Different 3dp Processes Using Cmm And Vision Measurement Tools, Alexander Adams

Browse all Theses and Dissertations

This study investigates how various additive manufacturing (AM) technologies and parameters influence part quality by fabricating three uniquely designed artefacts. Artefact 1 is a rectangular block with stepped arches, thin and solid extruded features, and holes of varying shapes and sizes. Artefact 2 consists of a base plate with angled overhangs from 15 to 90 degrees. Artefact 3 includes a tall cylinder, a five-step cylinder, and two half arches of different scales. Each artefact was printed ten times using: metal PBF (Inconel 718), nylon PBF (Nylon 12), Vat Polymerization (GRY photopolymer), and material extrusion (nylon carbon fiber). Dimensional analysis was …

Reducing Operator Training Time Through Virtual Reality: A Case Study On The Lpkf Protomat E44 Machine, Joshua C. Patel

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This thesis presents the development of an immersive virtual reality (VR) simulation that replicates the operation of the LPKF ProtoMat E44 PCB milling machine. Aimed at reducing operator training time and improving procedural understanding, the simulation offers an interactive and realistic environment where users can safely engage with machine workflows and start-up sequences. The emphasis is on accurate representation, usability, and maintaining immersion to support intuitive learning. Although formal evaluation is outside the scope of this work, the system is designed to serve as a foundation for cost-effective, scalable training in technical and manufacturing contexts, offering a modern alternative to …

Study Of Fiber-Loaded Slurries For Ceramic Matrix Composite Fabrication By Additive Manufacturing, Gaspard Matondo

Browse all Theses and Dissertations

We studied the additive manufacturing of an alumina-matrix composite reinforced with alumina fibers using the Admatec Admaflex 3D printer, which utilizes digital light processing technology. Oxide-oxide composites are composite materials in which both the matrix and the reinforcing element are ceramic oxides. Monolithic alumina ceramic exhibits a good combination of thermal and mechanical properties, including thermal shock resistance, high melting point, thermal oxidation resistance, good thermal conductivity, hardness, and mechanical strength. However, it is very brittle. Introducing alumina fiber as a reinforcing material into the alumina matrix is expected to enhance mechanical properties, particularly toughness, making the ceramic matrix composite …