Digital Commons Network^™

Data-Driven Fusion Of Earth Observation And Hydrologic Data To Forecast Flood Extents At Regional To Continental Scales, Kel N. Markert

Theses and Dissertations

Accurate and timely flood inundation forecasts are crucial for mitigating the devastating impacts of floods, which affect 1.47 billion people globally and cause significant economic losses. While traditional flood forecasting methods, such as hydrologic and hydrodynamic models, have limitations in providing comprehensive and spatially explicit inundation information, recent research has focused on leveraging Earth observation data and machine learning for enhanced flood prediction. This dissertation advances the state-of-the-art in data-driven flood inundation forecasting by exploring the capabilities and scalability of the Forecasting Inundation Extents using Rotated Empirical Orthogonal Function (FIER) framework. This dissertation focuses on investigating different aspects of FIER …

Novel Method For Pure Polymer Vagus Nerve Stimulators, James Dodge Iii

ENGS 88 Honors Thesis (AB Students)

Vagus nerve stimulation (VNS) has become a promising treatment for epilepsy, depression, obesity, and more. However, the state-of-the-art nerve cuffs use metal conductors, limiting the implanted VNS devices’ biocompatibility, electronic properties, and ultimately the device lifetime. Because the benefits of VNS treatment increase over time, and metal limits the lifetime of devices, a transition to non-metallic conductors with a better match to tissue material properties and safer electronic properties promises to increase the lifetime of VNS devices. To demonstrate the replacement of metal with a conductor with properties closer to that of body tissue, a novel fabrication scheme was designed …

Using Thermal Camera Drones In Beef Cattle Roundup, Justin Wyatt Clawson, Eric Galloway, Shalyn Drake, Shawn Barstow, Ross Israelsen, Michael Pate

All Current Publications

Using drones with thermal sensors can be an effective tool in finding and collecting livestock from summer mountain ranges in the West. Drones can complete searches in much less time than required on horseback in demonstrated areas. Using drones reduces the workload of the rider and horse, saving time and energy and reducing the risk of injury. With proper training and certification, livestock producers can use drones to locate cattle and perform many other cost-cutting operations.

Neurosymbolic Knowledge-Grounded Planning And Reasoning In Ai Systems, Amit Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, Megha Chakraborty

Faculty Publications

To build AI systems capable of decision-support assistance, such as AI-assisted healthcare, it is essential to develop user-centric decision-making processes that are robust, interpretable, and capable of effectively processing and acting on natural language interactions. Instruction-based prompting of large language models has demonstrated considerable success in supporting humans with information assistance tasks, including creative writing and content generation. However, recent studies reveal that language models exhibit limitations in performing complex reasoning and planning tasks, such as constructing compositional or hierarchical plans involving multiple reasoning steps. To address these challenges, we propose a neurosymbolic framework that integrates large language models with …

Synthesis, Characterization And Delamination Studies Of Metallic Thin Films Prepared Using Sputtering And Ebeam Evaporation Methods, Anoop Joseph

USF Tampa Graduate Theses and Dissertations

In many mechanical applications, including the manufacturing, automotive, and cutting tool sectors, metallic thin film coatings are crucial due to their tribological and protective properties. This research focuses on the development of metallic thin films of Aluminum (Al), Chromium (Cr) and Titanium (Ti) using deposition techniques like Sputtering and Electron Beam Evaporation. Metallic thin films were fabricated, with variations in thickness for each material, allowing for an in-depth study of the effects of Sputtering and Ebeam Evaporation deposition method on film characteristics. The thickness of these metallic thin films were evaluated using High-Resolution Scanning Electron Microscopy (HRSEM) and Profilometer while …

Direct Water Reuse: A Hydraulic Economic Analysis Of Connecting The Wastewater Treatment Effluent To Water Treatment Influent, Brian Barkdoll, Amber G. Strutz

Michigan Tech Publications

Climate change is causing increased flooding and droughts. Droughts can cause drinking water sources to run dry. Therefore, recycling water from the wastewater plant effluent to the water treatment plant influent, also called ‘direct reuse’ is becoming necessary. A connection between a city's wastewater treatment plant (WWTP) effluent and water treatment plant (WTP) influent via pipe was simulated to provide an understanding of the capital costs and feasibility of execution. Hydraulic pipe-flow and pump equations were used to calculate the pipe and pump sizes needed for various flow rate and elevation head values. Various flow rate recycle rates were modeled …

Solid Wastes From Geothermal Energy Production And Implications For Direct Lithium Extraction, William T. Stringfellow, Mary K. Camarillo

Pacific Faculty Work

Direct lithium extraction (DLE) of brines after geothermal power production offers opportunities to produce environmentally benign “green” lithium; however, some environmental impact is inevitable. We examined solid waste production at geothermal power plants in southern California that are also locations for planned DLE facilities. Currently, the geothermal plants in this region produce approximately 79,800 metric tons (wet weight) per year of solid waste, which represents about 28 metric tons per GWh of net electricity production or approximately 500 mg solids per kg geothermal brine. Approximately 15% of this waste requires management as hazardous waste. Solids produced during power production represent …

Emg-Based Intraoperative Neuromonitoring Using Advanced Machine Learning Approaches, Abdalla Nabil Elsharkawy, Nourhan Zayed

Mechanical Engineering

Intraoperative neuromonitoring (IONM) plays a critical role in minimizing nerve damage during surgeries by providing real-time feedback on neural integrity. This study evaluated models associated with deep learning and machine learning models for electromyography classification of signal during intraoperative neuromonitoring (IONM). The CNNLSTM model achieved the highest accuracy (85.2%), outperforming traditional models like KNN (53%), RF (62%), and CNN (76%). This demonstrates the degree to which the CNN-LSTM model can gain insight into temporal and spatial dependencies throughout the EMG signals, which makes it optimal for real-time classification in IONM applications. This implies that deep learning techniques can improve surgical …

Artificial Intelligence In Decision-Making: Literature Review, Najm A. Kh. Alhatimi Aleessawi, Leila Djaghrouri

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

In the fast-changing world of artificial intelligence (AI), the relationship between technology and decision-making has become a central area of study. Over the past five years, numerous papers have been published examining how AI methods are applied to decision-making processes across various industries. This article aims to highlight the key potential of artificial intelligence to enhance decision-making. It does so by systematically reviewing the literature on the role of AI in improving decision-making, particularly studies published between 2020 and 2024. The review consolidates the main findings from articles in renowned databases such as Google Scholar, Scopus, and IEEE Xplore, offering …

Combining Passive And Active Ultrasonic Stress Wave Monitoring For The Characterization Of The Early-Age Properties Of A Uhpfrc Beam, Numa Bertola, Thomas Schumacher, Ernst Niederleithinger, Eugen Bruhwiler

Civil and Environmental Engineering Faculty Publications and Presentations

This article focuses on the characterization of the early-age properties of Ultra-High-Performance Fiber-Reinforced Cementitious Composite (UHPFRC), which is becoming popular for designing lightweight and durable structures. Due to the large proportion of cement in the mix, the hardening of UHPFRC is significantly faster than conventional concrete. Therefore, the development of UHPFRC properties, such as the elastic modulus, is difficult to monitor as it happens while elements are within the formwork. For this reason, the hydration process of UHPFRC elements is not fully understood yet. A combined passive (or acoustic emission) and active ultrasonic stress wave monitoring approach has the potential …

Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen

Faculty Publications

Objective

To determine the effects of zwitterionic hydrogel films on mucus contact angles, flow, and stasis with respect to medical polymer surfaces, both flat and tubular.

Methods

A zwitterionic hydrogel thin film was photografted onto medical rubber surfaces and compared against non-zwitterionic hydrogel thin films and untreated surfaces to determine its impact on mucus contact angles, mucus flow on sheets and tubes, and mucus plugging.

Results

Zwitterionic and conventional hydrogel films significantly reduce the mucus contact angles and the tilt required to initiate mucus flow on sheets and in tubular systems. Preliminary experiments show that these films may also shorten …

Enhancing Wind Turbine Performance Using Flow Control Techniques: A Mini Review, Fady Nouh, Amr Ismaiel, Hasan Eleashy

Future Engineering Journal

In the face of escalating environmental concerns and the finite nature of non-renewable energy sources, the imperative for sustainable energy solutions has never been clearer. Among these solutions, wind energy emerges as a significant contender, poised to play a pivotal role in the global energy transition. Wind, a result of solar energy variations and Earth's topography, offers immense potential for electricity generation. Understanding wind patterns and harnessing its energy through efficient technologies like wind turbines is crucial. This paper explores diverse flow control methods, focusing on passive and active approaches in wind turbine configurations. It discusses advancements in the field …

Impact Of Drainage Parameters On Coal Fines Production In Cbm Wells: A Long-Term Monitoring Study Of Liulin Block, Ordos Basin, China, Ziliang Liu, Yingchun Wei, Daiyong Cao, Zhenjiang You, Jin Zhang, Tao Meng, Anmin Wang, Yujie Yuan

Research outputs 2022 to 2026

Coalbed methane (CBM) horizontal wells often experience significant coal fines production during the drainage process, which disrupts efficient CBM extraction. This study monitored key drainage parameters such as gas and water production rates, bottomhole flowing pressure, and casing pressure over an extended period. We analyzed fluid samples containing coal fines to understand their concentration, particle size distribution, and morphology. By correlating these findings with drainage parameters, we identified factors influencing coal fines production and the variation patterns in coal fines concentration. The results revealed that the concentration of produced coal fines ranged from 0.01 to 6.14 g/L, with particle sizes …

Sustainable Viscosity Prediction Of Hybrid Alumina- Copper Oxide Nanofluid For Green Heat Transfer Applications Using Adaptive Neuro-Fuzzy Inference System (Anfis), Mohammad Reza Chalak Qazani, Ganesan Kadirgama, Navid Aslfattahi, Devarajan Ramasamy, Lingenthiran Samylingam, Kumaran Kadirgama, Chee Kuang Kok, Mohd Fairusham Ghazali

The Nexus of Sustainability and Energy Technology Journal

Developing more energy-efficient, environmentally friendly heat transfer solutions is necessary. As a result, the application of nanofluids has attracted an increasing amount of attention. This paper shows a new method for predicting the viscosity of hybrid alumina-copper oxide nanofluid. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to predict the abovementioned physical property of the fluid dispersed in Therminol 55; a medium-temperature medium. The concentration of nanoparticles, temperature, and shear rate were found to be the major input factors. In comparison to Decision Trees (DT) and Support Vector Regression (SVR), the ANFIS method model was more effective, yielding a Root …

Plasmonic Enhancement Of Photothermal Conversion Efficiency In Gold-Nanoparticle Hydrogels, Mai S. Rashwan, Abed M. Al-Sheikh, Harihara Baskaran, Clemens Burda

Faculty Scholarship

This study investigates the photothermal properties of citrate-capped gold nanoparticles (Au NPs) dispersed in agarose gel, examining various sizes and concentrations, particularly within a low-concentration range (0.2–2.5 nM). Heat transfer measurements are conducted on Au NP hydrogels using laser-light induced heating, revealing a size- and concentration-dependent temperature increase compared to the plain agarose gel matrix. Experimental data, combined with finite-element analysis, demonstrate that photothermal energy conversion efficiencies are dependent on NP size and concentration, while the thermal conductivity (TC) of all Au NP hydrogels remains constant and independent of these parameters within the tested concentration range. UV-visible spectroscopy indicates that …

Enhancing The Efficiency Of Eaop Degradation Using Ultrasound: A Study With Methylene Blue And Pfoa As Model Pollutants, Jamiu Busayo Ahmed

Master's Theses

No abstract provided.

Assessing Arterial Compliance: Utilizing A Surrogate Arm Bench Top Model For Oscillometric Blood Pressure Monitoring, Krystal Cardenas

Master's Theses

A study was conducted to evaluate the compliance of artificial artery systems utilizing an adaptation of the Yong-Geddes Surrogate Arm model, composed of a blood pressure cuff, artificial artery, pressure transducers, and flow to replicate physiological conditions to validate oscillometric non-invasive blood pressure measurement methods. The experiment phases included tube, blood pressure cuff, and the surrogate arm compliance tests both in static and dynamic conditions. Tube compliance tests showed that larger diameters resulted in increased compliance, with Sample 1 (smaller inner diameter, ID) resulting in an average compliance of 0.0912 mL/mmHg, and Sample 2 (bigger ID) resulting in 0.1597 mL/mmHg. …

Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh

Mineta Transportation Institute

Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes. Our goal was to find the optimized balance between the model capabilities in object detection and memory processing requirements. …

Collaborative Ai: Oer Materials For Exploring Ai As A Partner Rather Than A Tool, David Smith

Open Educational Resources

The Collaborative AI Open Educational Resource (OER) explores how artificial intelligence can act as a creative and analytical collaborator rather than a tool. Centered on the Balanced Blended Space (BBS) framework and the philosophy of the Center for Holistic Integration (CHI), the OER includes curriculum materials, theoretical models, and live research environments. It offers an interesting approach to blending physical, virtual, and conceptual spaces through shared human–AI agency and invites ongoing participation in interdisciplinary meta-projects.

Creating A Framework To Develop Project-Based Platforms To Support Engineering And Technology Education, Casey Daniel Kidd

Doctoral Dissertations

Engineering education has evolved over the last few decades to increasingly include project-based learning (PBL) throughout the curriculum to give students more hands-on experience. However, there can be a hesitancy from faculty and instructors to move from traditional lectures to PBL-based curricula. Research has been conducted to identify barriers to research-based instructional strategies (RBIS), which include PBL. However, this research does not go into depth about the specific barriers for these individual RBIS. Furthermore, it has been found that the adoption of a new practice within a community has more success through a propagation paradigm, where the change agents are …

Efficacy Of Immersive Virtual Reality Gameplay In Environmental Attitude Change: The Case Of Abandoned Offshore Oil Platforms In Santa Barbara, Arun Prasad Srinivasan Manoharan

Master's Theses

Public perception plays an important role in shaping conservation policies and decisions, especially in contested environmental spaces. Offshore oil platforms, historically viewed as environmental hazards, have been found to serve as marine habitats that support diverse marine life. However, public perception remains largely negative, influenced by concerns over pollution from past oil spill accidents. Traditional environmental education methods, such as lectures and documentaries, often fail to engage audiences effectively or shift entrenched opinions. This study explores the efficacy of immersive Virtual Reality (VR) gameplay in changing environmental attitudes, specifically in the context of abandoned offshore oil platforms in Santa Barbara, …

Ultrasonic Cavitation Erosion Behaviour Of Plastically Deformed Textured Stainless-Steel Surface, Amit Raturi, Mayank Garg, Harpreet S. Grewall, Harpreet S. Arora

Mechanical Engineering Faculty Publications

In this study, we utilized an innovative pathway to obtain exceptional resistance to the cavitation erosion-corrosion behavior by combining surface texturing with severe surface deformation. Severe surface deformation was carried out using stationary friction process (SFP) followed by micro-texturing through a micro-imprinting approach. The textured sample after processing (SFP+T) had erosion resistance that was 6-7 times greater than that of the as-cast sample under ultrasonic cavitation conditions. In addition, the SFP+T sample was able to sustain a similar trend in the erosion-corrosion medium as well. Furthermore, the flow field characteristics of textured and nontextured samples were investigated using numerical calculations …

Feasibility Of Hyperspectral Sensing For Detection Of Early Stages Of Corrosion In Structural Steel, Amrita Das, Sattar Dorafshan

Civil Engineering Faculty Publications

The estimated global cost of steel atmospheric corrosion is 3-4% of the Gross Domestic Product, despite decades of corrosion mitigation practice. Steel, widely used for infrastructure construction, is composed primarily of iron and therefore is extremely vulnerable to atmospheric corrosion. The free iron atoms are highly reactive with water and oxygen molecules abundantly found in the atmosphere. Common non-contact in-field corrosion detection methods such as visual imaging and passive infrared thermography (IRT) use characteristics of visible corrosion compounds as the main features for corrosion detection. In this study, diffuse spectroscopy is investigated for the feasibility of corrosion detection before visual …

Image Forensics And Alteration Detection Using Image Preprocessing-Assisted Deep Learning Models, Rabindra Pokharel

Theses (2016-Present)

Technological advancements, combined with the widespread availability of digital images, have resulted in ubiquitous image forgery. The instances of forged images used for political propaganda, legal evidence manipulation, defamation of individuals, pornographic image creation of celebrities, and other actions that can cause social turmoil are proliferating. Verifying the integrity and authenticity of digital images is impractical for humans, necessitating the development of a robust image forgery detection model. This thesis demonstrates methods for copy-move, splicing, and deepfake image forgery detections by combining Error Level Analysis (ELA), Discrete Cosine Transformation (DCT), or Discrete Fourier Transformation (DFT) with a Deep Learning Convolutional …

Development Of Planetary Drive System For Formula Sae Electric Race Car, Brian Wong, Bradley Maruoka, Joshua Charles Fine, Madison Kai

Mechanical Engineering

Hub motors are compact electric motors mounted directly on each outboard wheel hub. Utilized in Formula SAE and Formula Student vehicles, this configuration offers several advantages over traditional drivetrains, including packaging optimization within the chassis, vehicle traction, and improved efficiency. Although hub motors are not yet common in 4WD vehicles, they are being explored for use in EVs and may become more common in the future. Every year, Cal Poly Racing FSAE designs and builds a formula-style race car. To improve drivetrain performance, the team is investigating the achievability of a hub motor 4WD drivetrain, requiring extensive research, development, and …

Evaluating Educational Benefits Of A Custom Cyber Game: ‘Hvac Attack!’, Jillian S. Valente

Theses and Dissertations

Cyber competition and conflict remain an enduring concern for the Department of Defense (DoD). Positive control of cyberspace is crucial across the vast diversity of military operations and supporting activities. Military members play an important role in cyber prevention, detection, and remediation, but most receive relatively little training outside of the annual Cyber Awareness Challenge. Particular career fields within the DoD may benefit from specialized training in cybersecurity, in particular the civil engineering (CE) community supporting critical infrastructure protection. Prior research has suggested that game-based learning (GBL) can be beneficial for teaching cyber concepts.

Cognitive Warfare In The South China Sea: Analyzing Media Influence And Public Opinion In Taiwan, Wyatt F. Blatti

Theses and Dissertations

In a time where conflict extends beyond traditional battlefields, cognitive warfare emerges as a powerful tool to influence perceptions and gain strategic advantages. This study investigates China’s cognitive warfare strategies against Taiwan through trend analysis, topic modeling, and sentiment analysis of news media articles from March 2013 to August 2024 to uncover evolving techniques and mitigation efforts. The findings highlight the potential for tracking cognitive campaigns overtime but will require more than news media alone and suggests future research to better understand indicators of cognitive warfare.

Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Screenevas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems. To enable comparative and contrasting studies of various monitoring issues and technologies, the SCSHM Committee on Data-Enhanced Infrastructures Management (DEIMC) identified the need for benchmark problems in the areas of bridge and building structural monitoring. This article reports and briefly discusses the first benchmark study on in-service structural monitoring of bridges that was developed in collaboration with the University of Manitoba, and presents the structure details, study …

Investigating The Benefits Of Utilizing Mass Timber In Construction, Eden Hitzke

Construction Management

Over the past decade, mass timber—an umbrella term for engineered wood products used as primary structural elements—has gained traction in the USA as a sustainable material for multistory buildings. Mass timber is a compelling alternative to steel and concrete due to its practical construction benefits, which were discovered through interviews with architects, engineers, and contractors. The interviews reveal advantages such as a streamlined construction process, reduced site disruption, and improved structural precision thanks to off-site manufacturing. Mass timber’s biophilic aspect improves indoor occupant satisfaction and market appeal. By documenting real-world experiences, the study highlights mass timber’s benefits due to its …

Operational Energy Education: A Thematic Analysis Of Knowledge Area Needs And Educational Gaps, Nana Hene

Theses and Dissertations

Operational Energy (OE) education is vital for national security, military readiness, and fuel energy efficiency. This thesis analyzes the current landscape of OE education and identifies key gaps in awareness, energy knowledge, and curriculum structure. Through a reflexive thematic analysis of interviews with Subject Matter Experts (SMEs), the study underscores the necessity of integrating OE concepts into both educational and professional training programs. A framework is proposed to enhance OE education across various levels in the Air Force, aiming to cultivate a more energy-conscious and strategically prepared force. The findings highlight the critical need for targeted training, curriculum enhancements, and …