Digital Commons Network^™

Aircraft Violations Related To Temporary Flight Restrictions & Operations​ From 2017 To 2021, Mark Lipp, Tea Yankova, Hudson Schnier, Vivek Sharm, Brooke Wheeler

Aeronautics Student Publications

Temporary Flight Restrictions (TFRs) are temporary airspace limitations issued to protect sensitive operations, events, and public safety within the United States and Territories National Airspace System (NAS). Despite widespread dissemination of TFR information, violations continue to occur. This study examined the relationship between the monthly number of active TFRs, total aircraft operations, and TFR violations from 2017 to 2021. A quantitative, non-experimental correlational design was used to analyze publicly available Federal Aviation Administration datasets, including TFR records and incident reports from the Aviation Safety Reporting System (ASRS). Descriptive statistics and Pearson product–moment correlations were calculated using 59 monthly observations. Results …

Human Error-Related Aviation Accidents And Incidents Scheduled Vs. Non-Scheduled Operations, Aidan J. Cosgrove, Christopher K. Budiman, Julia Palma Gil, Vivek Sharma, Brooke Wheeler

Aeronautics Student Publications

Scheduled operations had higher monthly human error (HE) related aviation accidents and incidents than nonscheduled operations; however, the effect size is small.

Spacepnp, Khurram Valiyev, Sam Warner, Jabari Sterling, Samuel Kaguima

Chemistry and Chemical Engineering Student Publications

Our mission is to eliminate design-to-procurement using a unified ecosystem that users can discover, validate, and preview components with confidence.

Automatic Determination Of Mechanical Properties From Molecular Dynamic Stress-Strain Curves Using Regression Fringe Response, Josh Kemppainen, Tristan Muzzy, Travis Wavrunek, Gregory Odegard

Michigan Tech Publications

Molecular dynamics (MD) simulations have become a powerful tool for studying polymers, designing new materials, and composites. Mechanical behavior in MD simulations are typically evaluated through stress-strain curves. However, MD-generated stress-strain curves are often obscured by thermal noise from atomic vibrations. This noise complicates the reliable derivation of mechanical properties and hinders objective and reproducible analysis. The noise in the stress-strain curves has been removed by using a Butterworth low-pass filter, enabling clearer interpretation of stress-strain data. Building on this, a novel analysis framework the Regression Fringe Response (RFR) is introduced to systematically determine the Young's modulus, yield strength, and …

Aurora Display - Autonomous Dashboard For Smart Spaces, Isabella Bretthauer, Zach Collins

Electrical Engineering and Computer Science Student Publications

Aurora Display is a low-cost, API-driven digital signage platform for public environments. Built on Raspberry Pi 4B, it retrieves and normalizes real-time data from multiple sources and displays it through a modular tile interface. Local caching and fallback states ensure continuous, autonomous operation. A working prototype demonstrates adaptable deployment, sustainable operation, and continuous real-time, context-aware, information delivery.

A Continuous Viral Vaccine Biomanufacturing Platform Utilizing Multiple Bioreactor Configurations, Justin Sargunas, Bradley Priem, Dylan Carman, Taravat Sarvari, Natalie Nold, Vaishali Sharma, Andrew Pekosz, Caryn Heldt, Michael Betenbaugh

Michigan Tech Publications

Scalable, continuous biomanufacturing processes have grown in importance to meet demand for smaller bioreactor sizes, lowered production costs, and improved quality attribute consistency. The Sf9/recombinant baculovirus (rBV) expression system demonstrates promise for virus-like particle (VLP) vaccine and gene therapy production. Here, we present a continuous rBV platform integrating an infection plug flow reactor (PFR) between stirred tank growth (gCSTR) and production (pCSTR) bioreactors. Cell expansion in the gCSTR included a ramp-up stage followed by continuous growth, reaching a steady state of 5×10 cells/mL and >90% viability. Péclet number-fit tracer studies confirmed near-ideal plug flow in the PFR, yielding a 10 …

Applications Of Suas Thermal Imaging And Lidar At Letort Spring Garden Preserve: An Independent Study, Kelsey Wardell

Harrisburg University Other Works

No abstract provided.

Aria – Ai Robot Intelligence Assistant, Balakrishna Reddy Channa Reddy

Pacific Innovation and Entrepreneurship Summit (PIES)

ARIA (AI Robot Intelligence Assistant) is an autonomous AI-powered robot designed to improve human-robot interaction and autonomous navigation. The system integrates advanced capabilities including face recognition, voice commands, AI responses, obstacle avoidance, phone tracking via Bluetooth Low Energy (BLE), and autonomous navigation.

The architecture consists of multiple layers: sensors (camera, microphone, and ultrasonic), a Raspberry Pi serving as the AI brain, an Arduino for motor control, motors and wheels for movement, and phone connectivity via Bluetooth (BLE). This layered design enables real-time perception, decision-making, and physical interaction with the environment.

Future development directions include real-time learning, edge AI optimization, and …

Llm For Clinical Named Entity Recognition: A Study On Rag With Pubmed And Umls, Apoorv Tripathi

Electronic Theses and Dissertations 2020 - Present

The first step of biomedical NLP is recognizing clinical named entities, which consist of identifying and categorizing a variety of clinical entities such as diseases, symptoms, genetics, diagnostic tests, procedures, etc. from a body of unstructured clinical text. This study presents a PubMed and UMLS based Retrieval Augmented Generation framework which improves the performance of the Large Language Models to identify clinical entities by providing context. In particular, the framework consists of a two-stage pipeline, where candidate tokens are identified from initial LLM-based classification and refined with retrieved context from either PubMed or UMLS. The proposed framework is assessed across …

Improving Electrochemical Measurements And Informing Future Reprocessing Of Advanced Nuclear Fuels, J. Marvin Torrie

Theses and Dissertations

This research promotes the application of molten salts through developing analytical tools in electroanalytical studies and in the data analysis of vapor pressure data. The electrochemical community lacks standardized, stable, and repeatable reference electrode designs which threaten the reliability of measured thermophysical properties and repeatability of published studies. This work confirms the application of a saturated reference electrode design for molten chlorides systems that outperforms traditional Ag+/Ag reference electrodes. In the field of thermal physical property measurements, vapor pressure data for chloride salts are diffused throughout the literature, uncertainty quantification is absent or limited, and all previous studies rely on …

Qualitative Dataset On Student Interpretation Of Automated Code Feedback And Programming Self-Efficacy, Mary Benjamin

Michigan Tech Research Data

This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.

The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.

Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development

Comparison Of Pfas-Free Hydrophobic Layer-By-Layer Coatings For Cellulosic Textiles: Evaluation Of Water Repellency, Mechanical Durability, And The Effects Of Fabric Construction, Elvira Isenzhulova, Radika Bhaskar

School of Design and Engineering Papers

Environmentally safe water-repellent coatings are urgently needed for the textile industry as an alternative to PFAS-based finishes. Challenges include development of coatings that are effective in imparting both water repellency and mechanical durability, with relatively simple synthesis to promote industry use. This study compared the performance and abrasion resistance of two different bio-based, layer-by-layer (LbL) self-assembled hydrophobic coatings for cellulosic fibers. Textile samples were coated with bilayers composed of negatively charged plant-derived carnauba wax and a positively charged component: either poly-L-lysine or lower-cost zinc oxide nanoparticles. To investigate the influence of surface microroughness on coating adhesion and performance, two different …

Energetic Characterization Of 3-D Printed Acrylonitrile Butadiene Styrene Fuels For Hybrid Rocket Propulsion Applications, Stephen A. Whitmore, Ryan J. Thibaudeau, Ava T. Wilkey

Mechanical and Aerospace Engineering Faculty Publications

Hybrid rocket technologies are gaining recognition as eco-friendly alternatives to traditional propulsion systems. Utah State University’s Propulsion Research Laboratory has developed a High-Performance Green Hybrid Propulsion (HPGHP) technology, leveraging 3D-printed ABS fuel for reliable, low-energy ignition. Among tested materials, only ABS shows suitable electrical-breakdown properties for arc ignition. Unfortunately, due to the proprietary formulations in commercial ABS blends, and its limited use as a rocket-propellant, related composition and combustion data are limited. This study uses spectroscopic evaluation and bomb calorimetry to estimate material compositions, enthalpies of formation, and combustion energies for multiple commercially available 3-D print feed stock ABS types, …

Fully Coupled, High-Resolution Atmosphere–Ocean–Wave Simulations Of The Offshore Wind Energy Environment During Hurricane Henri (2021), Chunyong Jung, Pengfei Xue, Chenfu Huang, William Pringle, Mrinal Biswas, Geeta Nain, Jiali Wang

Michigan Tech Publications

A new fully coupled modeling system, integrating atmosphere, ocean, and wave models, is presented to simulate intricate interactions during tropical cyclones and explore their potential implications for offshore infrastructure. The system is evaluated on Hurricane Henri (2021), chosen for its distinctive track along the US northeast coast, an area of densely populated regions and offshore wind energy zones. Three simulation setups are compared: atmosphere only, atmosphere–ocean, and a fully coupled atmosphere–ocean–wave model. Among them, the fully coupled model produces the most realistic results, improving not only the storm intensity near the surface but also the wind structure from the near …

Uscis-Grounded Ai: Preventing Hallucinations In Immigration Legal Services, Hephzibah Igwe

ONU Student Research Colloquium

Artificial intelligence chatbots increasingly provide legal information to consumers, but AI "hallucinations" (confidently stated but incorrect responses) pose serious risks in immigration law. Incorrect information about USCIS forms, fees, processing times, or filing procedures can result in visa denials, deportation proceedings, or permanent bars to entry.

This research presents a novel "source-grounded AI" system that eliminates hallucinations in immigration legal information. Rather than relying solely on large language models (LLMs) trained on general internet data, the system uses USCIS.gov as the primary source of truth for all operational data including current forms, fees, processing times, filing addresses, and policy updates. …

Mason Avenue Culvert, Caden Boynton

Honors Theses

This project addressed the replacement of a culvert crossing Wabascon Creek along North Mason Avenue in Battle Creek, Michigan. Following significant flooding caused by snowmelt in 2023, the existing wooden box culvert—originally constructed in the 1960s—sustained damage when inlet wingwalls detached from the structure, requiring temporary repairs. Design alternatives were developed to provide a durable and reliable replacement, incorporating structural, water resources, transportation, and construction engineering considerations. The design process also addressed environmental sustainability requirements, cost-effectiveness and constructability. Final deliverables included engineering calculations, plans and specifications, a cost estimate and a project schedule to support implementation of a resilient long-term …

Analyzing Proposed Unmanned Aerial System Regulations And Their Impact On Manned Aircraft Operations, Kordell Irish

Honors Theses

The purpose of the thesis is to investigate the current state of the proposed Part 108 regulations and to find possible solutions to the problems faced by Part 108 implementation, with a focus on the interactions between manned and unmanned aircraft. The thesis covers upcoming changes to federal aviation regulations by the Federal Aviation Administration (FAA) regarding unmanned aircraft systems and their integration into the national airspace system. Currently, most unmanned aircraft systems (UAS) are regulated under Part 107 of the federal aviation regulation. A brief literature review will provide a background and timeline in the lead-up to the Part …

Development Of A Grease Resistant Barrier For Food Industry Applications, Mira Marino

Honors Theses

The objective of this project is to develop a grease-resistant barrier coating for paper-based food packaging and to evaluate the economic feasibility of implementing this coating system at an industrial scale. As demand increases, this project focuses on identifying an optimal pigment and binder combination that enhances barrier performance while maintaining cost-effectiveness. The primary goal was to maximize grease and moisture resistance of coated paper while ensuring the process is economically viable and compatible with existing paper mill operations.

The final plant design consists of one continuous stirred tank reactor (CSTR) and three centrifugal pumps integrated into an existing paper …

Investigating The Cost And Efficiency Of Two Chemical Pathways To Produce The Plant-Based Coagulants, Taylor Nixon

Honors Theses

Plant-based coagulants are promising sustainable alternatives for water treatment due to their biodegradability, low toxicity, and reduced risk of secondary pollution. Unlike conventional inorganic coagulants, they generate less sludge and avoid secondary contamination in the environment. This project examines two chemical modification strategies for producing cationic cellulose coagulants. The first involves direct amination of cellulose using CHPTAC, while the second employs periodate-oxidized dialdehyde cellulose, which enables reductive amination through reactive aldehyde groups. These approaches are expected to yield materials with differing charges, surface functionalities, and structural properties that may influence coagulation performance. The study evaluates the technical and economic feasibility …

Enhancing Lane Detection In Autonomous Vehicles Using Data Augmentation For Adverse Environmental Conditions, Rutvikkumar Dave

Electronic Theses and Dissertations 2020 - Present

To make sure that self-driving and connected automobile technologies are safe and work well, it’s really important that they can correctly identify lanes. But lane detection Algorithms typically have a hard time working well when the weather is bad, such when it rains, fogs, or goes too fast. The circumstances cause visual distortions that make existing computer vision systems less reliable, which makes it harder requires autonomous navigation systems to work well. This paper introduces a comprehensive lane detection system that integrates synthetic Weather-informed data augmentation combined with a Weather-aware Temporal Lane Detection Network (WTLDNet) to make it easier for …

Opportunistic Breast Cancer Detection With Photon-Counting Ct: A Quantitative Pilot Study Of Reconstruction-Dependent Image Quality, Graham Hannon

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photon-counting computed tomography (PCCT) has emerged as a promising imaging modality with improved spatial resolution and contrast capabilities compared to conventional energy-integrating detector systems. These advantages present an opportunity for opportunistic detection of breast cancer in routine thoracic CT scans that include breast tissue. In this pilot study, we evaluated the feasibility of opportunistic breast cancer detection using clinical PCCT data through quantitative image analysis. Two patients with confirmed breast malignancies and corresponding thoracic PCCT scans were retrospectively analyzed. Dedicated reconstructions were performed with varying convolution kernels, field-of-view sizes, and virtual monoenergetic spectra. Image quality was assessed using signal-to-noise ratio …

Swosu Research And Scholarly Activity Fair 2026, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the University Research and Scholarly Activity Committee (URSAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University, we are pleased to welcome you to the Thirty-Fourth SWOSU Research and Scholarly Activity Fair.

Edgecube -- An Iot Edge-Sensor Node For Tiny Machine Learning Applications, Nathan Gerard Timmins

Master's Theses (2009 -)

This thesis presents a novel internet-of-things (IoT) edge device, EdgeCube, a compact embedded system that combines a microcontroller unit (MCU) and a field-programmable gate array (FPGA). The proposed platform explores a trade-off between the performance gains achievable through FPGA-based acceleration and the associated increases in cost and power consumption. The primary contributions of this thesis include (1) the design of a compact hybrid MCU–FPGA edge architecture intended for vision workloads, (2) a streaming MCU-to-FPGA data path using SPI for frame transfer, and (3) an end-to-end hardware prototype and evaluation on an embedded inference task. Designed for IoT vision applications, EdgeCube …

Physiobridge: Physiology-Constrained Self-Supervised Foundation Model For Cross-Device Ecg–Ppg Learning With Conformal Risk Control, Abbas Alzubaidi, Ali Al-Shuwaili, Ali Al-Bayaty

Electrical and Computer Engineering Faculty Publications and Presentations

Wearable and bedside sensors continuously generate electrocardiograms (ECG), photoplethysmograms (PPG), and related physiological waveforms that could enable earlier detection of deterioration and more personalized care. However, current deep learning pipelines in biomedical signal processing often remain taskand device-specific, degrade under domain shift (new hospitals, sensors, skin tones, motion), and provide limited uncertainty information for safety-critical decisions. We propose PhysioBridge, a foundation-model approach that learns a shared representation space for ECG and PPG via self-supervised pretraining and explicit physiology constraints, then supports downstream adaptation with distribution-free risk control. PhysioBridge introduces (i) multi-rate patch tokenization that preserves clinically meaningful morphology across heterogeneous …

Uptake And Fate Of Silver And Zinc Engineered Nanoparticles In Maize Under Single And Binary Dosing Soil Ecosystems, Lei Xu, Qingbo Yang, Xingmao Ma, Honglan Shi, John Yang, Hu Yang, Samira Mahdi, Ying Wang, Young Shin Jun

Chemistry Faculty Research & Creative Works

Recent agricultural applications of engineered metallic nanoparticles (ENPs) have raised concerns about their uptake and fate in plants. To understand this critical issue, this study investigated the fate and uptake of silver (Ag) and zinc oxide (ZnO) ENPs in maize (Zea mays L.) after single or binary ENP exposure in soil. Results indicated that both Zn and Ag elemental concentrations in roots increased with increasing ENP dosage. Ag NPs in the tissues were detected, but not Zn NPs. Ag NP concentration was 3 times higher in the roots than in the shoots at low Ag NP dosing, while Ag NP …

Evaluating The Impact Of Residential Landscape Audits Using 5-Second Water Use Data, Mahmud Aveek, Camilo J. Bastidas Pacheco, David E. Rosenberg, Jeffery S. Horsburgh, Kelly Kopp, Belize A. Lane

Civil and Environmental Engineering Student Research

We used 5-s water use data to evaluate the effectiveness of residential landscape water audits in summer 2022. Fifty-nine households in two northern Utah cities were monitored for 2–5 weeks before and 3–10 weeks after an audit. We found that the distribution of weekly irrigation volumes postaudit was statistically less than the distribution preaudit (significant at the 1.9E10-5 level). Collectively, the participants reduced their landscape irrigation water use by approximately 379,000 L per week (100,300 gal per week; 0.3 acre-feet per week). We also analyzed changes in irrigation event volume, duration, frequency, and the number of days between events at …

Interpretable Machine Learning For Predicting Splitting Strength Of Asphalt Concrete: Insights From Shap Analysis, Jianglei Xing, Xiao Tan, Yihao Li, Dongzhao Jin, Pengwei Guo, Yuhuan Wang, Huiya Niu

Michigan Tech Publications

This paper proposes an interpretable machine learning approach for predicting the splitting strength of asphalt concrete and supporting data-driven mixture design. A database consisting of 296 samples was constructed, and 14 input variables related to asphalt properties, aggregate gradation, and fiber characteristics were selected for modeling. Eight machine learning models, namely TabPFN, ANN, SVR, RF, XGBoost, LightGBM, FLAML, and FT-Transformer, were developed and compared. The results show that all eight models achieved satisfactory predictive capability, whereas TabPFN overall achieved the best performance in the Monte Carlo cross-validation, with the lowest average RMSE of 0.34 ± 0.10, the lowest average MAE …

Techno-Economic Analysis Of Hybrid Systems As A Solution For Electricity Supply During The Dry Season At The Bakaru Run-Of-River Hydropower Plant, Zamharir Aditya Febri, Mohammad Akita Indianto, Sheila Tobing

Journal of Materials Exploration and Findings

Within the South Sulawesi power system (Sulbagsel), the Bakaru Hydro Power Plant serves as a key facility expected to provide consistent and reliable electricity supply. However, since the Bakaru plant operates under a Run of River scheme, its energy output is highly dependent on river discharge rates. In 2024, a significant decrease in water flow was recorded between August and October, which led to a drastic reduction in power generation. To address this challenge, a hybrid energy system is proposed to ensure continuous load coverage, particularly during the dry season. The optimal configuration of this hybrid system was modeled and …

Risk Identification Of Green Hydrogen Supply Chain In Ammonia Industry In Indonesia Using Delphi And Topsis Methods, Ananda Priatama, Sheila Tobing

Journal of Materials Exploration and Findings

The development of green hydrogen in Indonesia, while promising for supporting industrial decarbonization, remains in its early stages and faces various challenges across technical, economic, and regulatory domains. This study aims to identify and prioritize the risks linked to green hydrogen supply chain in Indonesia, particularly for applications in the ammonia industry. A set of 49 potential risk factors was initially compiled through literature review and prior studies. The Delphi method was employed with a panel of experts to validate these risks, ultimately refining the list to 27 critical risk factors. Subsequently, the Technique for Order Preference by Similarity to …

Robust Non-Invasive Cardiac Index Prediction Via Feature Integration And Data-Augmented Neural Networks, Chih-Hao Chang, Mei-Ling Chan, Yu-Hung Fang, Po-Lin Huang, Tsung-Yi Chen, Tsun-Kuang Chi, I Elizabeth Cha, Tzong-Rong Ger, Kuo-Chen Li, Shih-Lun Chen, Liang-Hung Wang, Jia-Ching Wang, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Concurrent with the rising consumption of ultra-processed, high-calorie diets and the decline in physical activity, obesity and related cardiovascular conditions among young adults have continued to increase, becoming an important global public health concern. This study integrates non-invasive Internet of Things (IoT) sensing devices, including the TERUMO ES-P2000 blood pressure monitor (Terumo Corp., Tokyo, Japan) and the PhysioFlow PF07 Enduro cardiac hemodynamic analyzer (Manatec Biomedical, Poissy, France), with an artificial neural network (ANN) for cardiac index (CI) prediction. Through appropriate data preprocessing and model training strategies, the generalization ability and stability of the proposed CI prediction model were significantly enhanced. …