Digital Commons Network^™

Benchmarking Zero-Shot Open-Vocabulary And Fine-Tuned Object Detectors For Underground Mine Personnel Detection, Ellen Essien, Samuel Frimpong

Mining Engineering Faculty Research & Creative Works

Reliable personnel detection is critical for the safe deployment of autonomous haulage systems in underground mining, where challenging environmental conditions demand robust real-time perception. Existing research has focused primarily on fine-tuned convolutional detectors, while systematic comparisons with zero-shot vision-language models remain limited. This study presents a cross-paradigm benchmark comparing four zero-shot vision-language models (YOLO-World, Grounding DINO, OWL-ViT, and OWLv2) with four fine-tuned YOLO detectors (YOLOv8s, YOLOv9s, YOLO11s, and YOLO26s) using 31,396 real-world underground coal mine images. Detection performance was evaluated using precision, recall, F1-score, average precision, inference speed, and condition- and target scale-specific recall. The experimental results show that the …

Geometric And Operational Design Principles For Autonomous Haulage Systems In Open-Pit Mining: A Systematic Review, Justina Senam Lotsu, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

The rapid deployment of autonomous haulage systems (AHSs) in open-pit mining has significantly altered haul road geometric design requirements, as autonomous trucks operate under strict kinematic constraints related to turning radius, gradient, and braking performance. Since haulage accounts for 50–60% of total mining costs, optimizing haul road geometry is critical for improving operational efficiency, energy consumption, and safety. This study presents a systematic review of 50 highly relevant studies selected from 81 candidate publications published between 2003 and 2025 through structured database searches and citation chaining. The review synthesizes current developments in haul road layout optimization, turning radius accommodation, gradient …

Biodesulfurization Of Crude Oil Using Locally Isolated Pseudomonas Aeruginosa From Oil-Contaminated Soil In Iraqi Kurdistan, Yousif Mohammed Sharif, Sherwan Mohammed Simo, Lokman Aziz Abdulkareem, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Locally sourced crude oil from Iraqi Kurdistan contains recalcitrant organosulfur compounds that impair air quality, corrode refinery equipment, and hinder compliance with fuel sulfur regulations. This study isolated a Pseudomonas sp. closely related to the Pseudomonas aeruginosa from oil-contaminated soil near Kashy Refinery (Duhok Province, Kurdistan Region, Iraq) and evaluated its biodesulfurization potential as an environmentally friendly alternative to hydrodesulfurization. Batch experiments were conducted at 34 °C and atmospheric pressure using mineral salts medium supplemented with 1%, 3%, and 5% (v/v) Tawki crude oil. The highest sulfur removal efficiency of 83.33% was obtained at 1% (v/v) crude oil after 10 …

Metrological Characterization Of Pavement Friction Measurements For High-Friction Surface Treatments: Si Traceability, Uncertainty Evaluation, And Adhesion–Hysteresis Separation Via Water–Soap Bpt Protocol, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Laboratory friction measurements are central to material screening for High-Friction Surface Treatments (HFST), yet metrological aspects including a proposed metrological traceability framework or uncertainty, and reproducibility are consistently underreported. This study applies a metrology-aligned framework to British Pendulum Tester (BPT) measurements performed in three states: dry, wet (water), and water–soap to assess operational adhesion and hysteresis components, document traceability to the International System of Units (SI), and report GUM-style uncertainty with covariance for the adhesion difference. Measurements were obtained for calcined bauxite (CB) and rhyolite (Rhy) in HFST and Coarse gradations across seven polishing protocols (baseline; LAA-1000/2000; MDA-105/180; PSV-10 h/20 …

Optimization Of Bonding Behavior Of Crumb Rubber-Modified (Crm) Asphalt For Sustainable High-Friction Surface Treatment (Hfst) Applications, Abdallah Aboelela, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Binder bonding strength (BBS) is critical to aggregate retention and friction performance in high-friction surface treatment (HFST). Although epoxy resin is traditionally used, asphalt-based binders offer a sustainable alternative; however, their bonding behavior and influence on polishing performance remain insufficiently understood. This study investigated the evolution and optimization of BBS in crumb rubber-modified (CRM) asphalt for rhyolite-based HFSTs. BBS was measured under dry and wet-conditioned states for two CR contents (10% and 15%), two CR types (cryogenic and ambient), two interaction temperatures (170 and 200 °C), and interaction times from 10 to 240 min. HFST performance was assessed using the …

Editorial For The Special Issue “Advances And Applications Of Polymer Gels For Subsurface Energy And Storage”, Baojun Bai, Jingyang Pu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Polymer gels are essential functional materials for subsurface energy operations, playing a critical role in conformance control, fluid diversion, hydraulic fracturing, and leakage mitigation. As reservoirs become increasingly complex and the demand for sustainable energy grows, continued innovation in gel technologies is crucial. This editorial introduces a Special Issue titled "Advances and Applications of Polymer Gels for Subsurface Energy and Storage," which compiles seven original research articles exploring recent developments in gel synthesis, characterization, and applications. The featured studies highlight the versatility of polymer gels, including nanoparticle-reinforced composites, foam–gel hybrids, recrosslinkable preformed particle gels, and advanced fracturing fluids. The contributions …

Modeling Of A Two-Stage Extractive Distillation Process For The Separation Of 1,3-Butadiene From Pyrolysis-Derived C₄ Fractions, Muxriddin Xudoyor Og‘Li Ibodullayev, Jonibek Farxod O‘G‘Li Norqulov, Olim Rustamovich Abduraxmonov, Orifjon Sharipovich Kodirov

Chemical Technology, Control and Management

The separation of 1,3-butadiene from pyrolysis-derived C₄ fractions represents a challenging task due to the multicomponent nature of the feed and the close boiling points of accompanying hydrocarbons. In this study, a two-stage extractive distillation process was investigated using an acetonitrile–water solvent system to address these challenges. A semi-industrial experimental unit consisting of two extractive distillation columns connected in series was developed and analyzed, and the process configuration was supported by Aspen Plus simulation. The feedstock composition was characterized in detail, revealing that 1,3-butadiene constitutes approximately 40 wt.% of the C₄ fraction, accompanied by significant amounts of propylene, butanes, butanes, …

How Do Governments Combat Jihad Online?, Noah Cook

Honors College Theses

Since the September 11th, 2001 attacks, jihadist groups like ISIS, al-Qaeda, and al-Shabaab have used the internet as a tool for recruitment, radicalization, and propaganda dissemination. Since then, governments, non-governmental organizations, and private companies have developed strategies to combat jihadism on the internet. This paper examines how these actors have worked to mitigate the digital jihadist footprint and its effects by analyzing three main approaches to countering violent Islamist extremism on the internet: counter narrative initiatives, awareness-raising programs, and content removals. This paper finds that each of these methods has its own strengths and weaknesses. Counter narrative campaigns show the …

Using Clustering Techniques And Mitre Att&Ck Threat Interpretation To Detect Anomalies In Modbus/Tcp For Industrial Control Systems, Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, Atharva Haridas Sagare

Journal of Cybersecurity Education, Research and Practice

Recent attacks on America's critical infrastructure have drawn increased attention on securing industrial control systems and operational technology in power plants, utility companies, and other sectors providing public services. Attack detection and mitigation strategies on these systems have shown promising results using machine learning and other statistical baselining techniques, mostly using supervised learning and classification. Unsupervised learning using cluster analysis and other techniques remain mostly unexplored. In this paper, we propose multi-layered feature extraction and hybrid clustering framework to detect fine-grained nested attack patterns in Modbus-over-TCP traffic. Operating under the assumption of known number of distinct network categories, our approach …

Engineered Porous Structures For Propellants Using Additive Manufacturing, Elbert Caravaca

Dissertations

Foamed polymers are widely used today for shock absorption and packaging materials to prevent damage to their contents. Typical foamed densities vary from 0.1 g/cm³ to 0.4 g/cm³ depending on the polymeric materials used. There is a need to explore foaming densities above 0.4 g/cm³ for propellants with highly engineered surface area progression for increased combustion performance. One way to achieve this is through highly controlled and engineered graded foam structures. To further exploit this approach, additive manufacturing coupled with a tunable means to generate foamed structures is the target of this work. To generate foam structures …

Development And Uncertainty Assessment Of Secondary Method For Ph Measurement In Physicochemical Measurements, Sarvar Rakhmatullaev, Dostonbek Xujakulov, Mohinur Nigmatova

Chemical Technology, Control and Management

In physicochemical measurements across various industries, laboratory analyses commonly require the determination of pH as an indicator of hydrogen ion activity in aqueous solutions. Ensuring the accuracy and reliability of these measurements, obtaining precise readings from pH measuring instruments, and maintaining overall measurement quality represent critical challenges in guaranteeing the safety of both products and processes. This requires constant monitoring, accuracy assessment, calibration, metrological verification, and control of measuring instruments. In this case, it should be carried out not with solutions prepared in any laboratory, but with certified reference materials (СRM) with appropriate regulatory framework, ensuring metrological observation. …

Motor Imagery Eeg Decoding For Brain-Computer Interfaces: Structured Representation, Transfer, And Drift, Yiming Shen

Graduate Doctoral Dissertations

Motor imagery EEG decoding is often summarized by the accuracy of a final classifier, but the classifier is only the last stage of the pipeline. Before classification, the signal has already been shaped by preprocessing, feature extraction, source-session organization, and adaptation. This dissertation studies how feature representation, source-session transfer, and drift shape reliable MI-EEG decoding for brain-computer interfaces.

It first studies within-session decoding on public MI-EEG datasets using nested validation that keeps preprocessing, feature fitting, and model selection inside the training folds. This analysis separates gains from feature representation from gains due to nonlinear classification, and relates both comparisons to …

One Size Does Not Fit All: Revisiting World Models And Neurosymbolic Ai, Amit P. Sheth, Madhur Thareja, Anushka Pawar, Niyati Rawal

Publications

World models are being built twice, from opposite ends, without a shared theory of how the two halves should meet. One lineage grounds the world model in perception: a self-supervised, latent-predictive encoder – exemplified by Joint Embedding Predictive Architectures (JEPA) – that learns the structure of sensory experi-ence. A second, older lineage grounds the world model in cognition: an explicit, inspectable structure of entities, rules, and constraints, ranging from knowledge graphs to formal logic to physical law. Neither lineage alone has produced a world model that is simultane-ously adaptive and auditable. We argue this is not solved by picking a …

Dynamic Flood Risk Assessment For Transportation Infrastructure In Fresno, Ca, Yushin Ahn, Fayzul Pasha

Mineta Transportation Institute

Urban roadway flooding in flat metropolitan environments often shows up as small areas of standing water rather than large, flowing floods. In low-gradient urban environments, subtle micro-topographic features—such as pavement crowns, curbs, and localized depressions—often control where surface water accumulates following rainfall. Accurately identifying these localized ponding areas is important for roadway flood screening and infrastructure management. This study develops a LiDAR-based depression mapping framework to identify roadway segments susceptible to surface ponding in flat urban environments. High-resolution airborne LiDAR datasets were used to generate detailed elevation maps (down to less than a foot in resolution) from ground-classified point clouds …

Residential Cooling Energy Efficiency During Heatwaves In South Texas, Rosa A. Castan, Gasser G. Ali

Civil Engineering Faculty Publications

Heatwaves have become increasingly intense and frequent in recent years. As a result, residents are forced to rely on air-conditioning systems, a major contributor to high energy consumption. South Texas is one of the regions that has been affected by historically extreme heat. This paper explores the challenges this region has faced due to heatwaves and the strategies adopted to mitigate their effects. It investigates the use of cooling technologies, energy-related habits, and investment in home construction to reduce indoor heat and manage electricity bills. A literature review is performed to help identify relevant factors related to maximizing energy efficiency. …

Evaluating The Impacts Of Extreme Temperature Events On The Us Rail Network, Gabby Gutierrez, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

The United States railway is a critical part of the national infrastructure and economy. Heatwaves are a major weather event that can cause major disruptions and affect the stable operation of the railway. Failure in part of the rail network may have a ripple effect on the rest of the network. As such, there is a need to study the effect of weather on rail networks that require re-routing. The goal of this paper is to investigate the vulnerability of the contiguous United States rail infrastructure against disruptions to operations caused by extreme heat events. This goal is achieved by …

Estimating Highway Rehabilitation Projects Using Machine Learning, Samantha Ocaña, Silvia Flores-Osuna, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

Highways are a crucial part of the national infrastructure. As such, they are costly to construct and maintain; challenges such as deterioration, limited budgets, and cost uncertainty create a need for improved cost prediction of rehabilitation projects. This is especially true in the preliminary stage when all factors are unknown. Accordingly, this paper proposes a model to predict the cost of highway rehabilitation projects. A machine learning model is trained on large and publicly available datasets released by the Texas Department of Transportation (TxDOT), the National Oceanic and Atmospheric Administration (NOAA), and the Federal Reserve of Economic Data (FRED). These …

Payload Selection To Correlate Shielding Performance With Molecular Structure And Elemental Composition For Rosisat: The Radiation Orbital Shielding Investigation Satellite, Chase Patterson, Jacob L. Blanton, Kylie Nager

Beyond: Undergraduate Research Journal

Exposure to space weather in the Low Earth Orbit (LEO) environment poses significant challenges to both the integrity and longevity of orbital hardware, as well as the health of astronauts, driving the necessity for improved means of radiation shielding for future missions. With a 1U CubeSat formfactor, ROSISat is a planned LEO mission that aims to characterize the radiation shielding capabilities of seven candidate materials: ultra-high molecular weight polyethylene, boron nitride, carbon nanotubes, boron nitride nanotubes with polyethylene fibers, carbon fiber reinforced composite, and aerographene, as well as two control materials: aluminum 6061 and ep33. By comparing the shielding performance …

From Estimation To Certainty: Enhancing Smallsat Constellation Replenishment Planning With Physics-Based Solar Forecasting, Scott W. Mcintosh, Katherine Monson, Carolyn Belle, Chris Habib, Brianna Aubin

Small Satellite Conference

Poster Presented at the 2026 Small Satellite Conference

First Generation Of Project A.S.P.I.R.E. – A 1u Cubesat Mission For Technology Demonstration And Student Involvement In New Zealand, Shuanghui Zhao, Shunxing Shi, Kristen Lian, Rose Peens-Hough, Arami Peens-Hough, Changrui Wang, Joowon Hwang, Jerry Sun, Edward Sun

Small Satellite Conference

MOTIVATION

A feasibility study conducted at an Auckland secondary school in December 2024 found strong interest in satellite-related learning. Following an outreach presentation, 63 students (Majority aged 15 - 18) completed a questionnaire, with an average interest rating of 4.86/5. The most popular subjects were Orbital Physics, Mathematics, Mechanical Engineering, and Electrical Engineering (fig. 1).

Mission Orientated Flight Software Development: Cubestep, Tirth Thakkar, Howard Lee, Viren Kumar, Maranda Laws, Shridhi Seth, Marco Maggia, Navid Nakhjiri

Small Satellite Conference

Small satellite teams often develop flight software and mission operations separately, leading to software behaviors that drift out of sync with ground procedures. To fix this, we present a co-design approach that directly links mission goals and operational procedures to the onboard flight software architecture. Demonstrated on the CubeSTEP-Cerberus mission using NASA’s F′ framework and FreeRTOS, our system maps mission intent into five constrained software states (Initialization, Safe, Idle, Experiment, and Transmit) guarded by automated health checks. This co-design strategy ensures the spacecraft acts autonomously to preserve its goals while strictly maintaining operator control over critical decisions.

Comparative Analysis Of Reaction Wheels And Control Moment Gyroscopes For High-Capacity Orbital Data Centers In Sun-Pointing Mission Profiles, Chih Ta Wu, Po Hsun Yen, Jen Hao Cheng, Kai Kuo Liao, Shang Jung Lee

Small Satellite Conference

• Orbital data centers (ODCs) are moving from concept to near-term engineering: Starcloud (5 GW), Meta / Overview Energy (1 GW SSP), SpaceX (up to 1M-satellite FCC filing).
• Multi-kW to GW-class compute demands solar arrays of unprecedented scale → extreme inertia and disturbance torques.
• Can Reaction Wheels (RWs) vs Control Moment Gyroscopes (CMGs) hold an ODC in a sun-nadir pointing profile?

Optical Advantages In Using Extremely Stable Materials In Small Satellite Telescopes, Tony Hull, Jesse Bonfeld, Dustin Ruth, Florian Gollier, Janina Krieg, Thomas Westerhoff, Jacqueline Caraballo

Small Satellite Conference

Small-satellite telescopes experience continuous thermal transients from changing Sun and Earth view factors plus CONOPS → temperature gradients T(xi) → distort mirrors/metering if the material is sensitive to temperature.

Transients are partially mitigated by diffusivity, but only with uniform temperature changes. Orbital and CONOPS transients are not uniform → The architect must examine the material response to realistic transients and gradients.

Optimal optical performance is supported by appropriate passive material attributes!

Swap: An Ai-Enabled Cubesat For Low-Latency Space Weather Alerting, Miles H. Currie, Douglas Franz, Paul Kocyla, Omar Sharaf, Sarvesh Garimella

Small Satellite Conference

1 — Background

• Growing dependence on space-based assets (telecom, transport, grid, GPS) = growing space-weather exposure
• A Carrington-class storm today would mean cascading failures and losses in the trillions
• Current assets (e.g. GOES, ACE, DSCOVR) are excellent but large, costly, and with minutes to hours of alert latency from ground processing; weak coverage off the Earth–Sun line, where multi-point views could untangle the solar flare/SEP/ CME chain
• The Space Weather Alerting Platform (SWAP) concept mission (right) is a low-cost, 3U cubesat solution for proliferated solar monitoring with low-latency onboard AI alerting

Toward Public Access To On-Orbit Propulsion Data From Equuleus: Preparing Real Flight Data For Community Use, Hiroyuki Koizumi, Isamu Moriai, Hokuto Sekine, Keita Nishii, Mariko Akiyama, Shintaro Nakajima, Yosuke Kawabata, Yasuho Ataka, Shunichiro Nomura, Ryota Fuse, Ryu Funase

Small Satellite Conference

EQUULEUS is a 6U lunar exploration CubeSat, jointly developed and operated by the University of Tokyo and the Japan Aerospace Exploration Agency (JAXA). It was launched in November 2022 by the Space Launch System (SLS) into a lunar transfer orbit and achieved insertion into a trajectory toward the Earth–Moon Lagrange region through multiple lunar flybys using its onboard water resistojet propulsion system AQUARIUS. The EQUULEUS primary mission is the demonstration of trajectory control technology in the Sun-Earth-Moon region for the first time by a nano-spacecraft.

Zerodur®: Comprehensive Data Enables The Reliability Of Evidence-Based Design, Dustin Ruth, Florian Gollier, Jesse Bonfeld, Dustin Ruth, Janina Krieg, Thomas Westerhoff, Tony Hull, Jacqueline Caraballo

Small Satellite Conference

ZERODUR® is a glass-ceramic formulated for high-performance optics under imperfect temperature control. Crystallites in a glass matrix balance expansion: crystals shrink while residual glass expands, preserving geometry at fine scale.

This yields the lowest passive thermal response of any optical material-enabling high-contrast, high-resolution, low-scatter imaging and minimal transmission leakage for SmallSat telescopes.

Probe Cytotoxic And Oxidative Stress Effects Of Nanoplastics On Caco-2 Cells: Insights From Raman Spectroscopy And Machine Learning, Bryan Gustafson, Negar Kosari, Emily Brothersen, Morgan Mosher, Anhong Zhou

Biological Engineering Student Research

Nanoplastics and microplastics have become an increasing ecological and health concern due to their widespread presence in the environment and food chain. In this study, Caco-2 cells were used as an in vitro model of the human intestinal epithelium to investigate the cytotoxic effects of polystyrene nanoparticles and microparticles of varying sizes, concentrations, and surface modification. Oxidative stress and apoptosis were evaluated following particle exposure. Raman spectroscopy, combined with machine learning analysis, was employed to detect and characterize biochemical alterations in the cells. Several peak ratios were selected to cluster data depending on size. A correlation between apoptosis and both …

Schott Options For Efficient Design-To-Cost Zerodur® Optical Assemblies With Established Supply Chain Reliability, Florian Gollier, Jesse Bonfeld, Dustin Ruth, Janina Krieg, Thomas Westerhoff, Tony Hull, Jacqueline Caraballo

Small Satellite Conference

Poster presented at the 2026 Small Satellite Conference

Modeling Liquid Propellant Slosh Disturbances For Small Satellite Attitude Control, Phillip Miret, Nathan Cole, Robert E. Zee

Small Satellite Conference

Objective:

Develop and optimize a reduced order spring-mass-damper (SMD) analogue of propellant slosh using computational fluid dynamic (CFD) analysis. Evaluate the efficacy of generating feedforward compensation terms using the SMD model to improve attitude control performance during rapid spacecraft slews.

Lego®-Based Cubesats For Space Outreach, Stefan Brandle, Joshua Brown, Evan Smith, Drew Nye, Sydney Reddy, Twidy Kwae, Kaiya Grzesiak, Matthew Roderer, John Hetz

Small Satellite Conference

Taylor University Computer Science and Engineering is building a satellite having a LEGO®-robotics-based payload.

Mission Goals

• Have university students build a novel ELEO satellite
• Demonstrate viability of LEGO robotics electronics in space for short-term low-altitude missions
• Enhance space awareness by capturing the public's imagination through integral use of LEGO in an actual satellite
• Identify partners willing to provide advice and promote this project
• Create additional pathways for K-12 and university student participation in building satellites and satellite-related projects
• Support other space-education organizations through a high-visibility satellite project
• Continue space outreach efforts in the spirit of the ThinSat project
• ThinSat was …