Engineering Commons^™

War Strategy Algorithm- Based Hybrid Optimization For Accurate And Rapid Speech Recognition, Shahad Thamear Abd Al-Latief, Salman Yussof, Azhana Ahmad, Saif Mohanad Khadim, Ahmed Alkhayyat

Iraqi Journal for Computer Science and Mathematics

Speech recognition-based applications increased and developed as a result of artificial intelligence's rapid growth, particularly Machine Learning, which play a crucial role in many aspects of daily life, such as applications related to human-computer interaction, and natural language processing. The complexity and diversity of speech signals provides challenges in maximizing the rate of accuracy and efficiency of speech recognition systems. Hyperparameter tuning is a crucial step in machine learning that has a significant role in optimizing the performance and generalization by determining the optimal values for the model's hyperparameters. This paper employed the recently developed WAR Strategy optimization algorithm for …

Hybrid Methods For Detecting Face Morphing Attacks, Essa M. Namis, Khalid Shaker, Sufyan Al-Janabi

Iraqi Journal for Computer Science and Mathematics

The face morphing process blends two or more facial images to produce a singular morphed facial image that shows the vulnerabilities of Face Recognition Systems (FRS). The widespread use of facial recognition algorithms, especially in Automatic Border Control (ABC) systems, has elicited concerns about potential attacks, as modified passports pose a significant risk to national security. This research presents a hybrid approach for feature extraction from facial images. The suggested approach involves three stages: The initial phase involves preprocessing the image through resizing and face identification, using the Viola-Jones algorithm to detect and locate the human face in the image, …

Finding General Mathematical Formulas For Extraction The Minimal Path Sets Of Complex Parallel-Series Networks, Mariem Hassan Lafta, Zahir Abdul Haddi Hassan

Iraqi Journal for Computer Science and Mathematics

Most real-world technological systems are highly complex, making it challenging to examine their reliability. Many systems can be represented as Complex Parallel-Series Networks (CPSN). The large number of components and subnetworks, along with their intricate connection, complicates the identification, evaluation, and potential failure of the CPSN. A minimal path set is a minimal set of components whose proper functioning (success) guarantees the success (operability) of the system. The set is minimal in the sense that removing any component from it means it no longer guarantees system success. The primary research problem is to identify these minimal path sets, both for …

Aircraft Leasing And Its Effects On Ireland's Airline Sector, Aaron Christian, Jeanne Sumrall

SACAD: Scholarly Activities

The aircraft leasing industry sits at the heart of Ireland’s aviation sector, making Ireland the global leader in the business. The presence of major leasing companies’ headquarters, including Avolon, SMBC and AerCap, in Ireland, allows for country to benefit from these companies’ revenue. In return, Ireland provides the companies with supportive tax and regulatory frameworks that benefit the aviation sector. The research on this topic explores different ways aircraft leasing contributes to airline efficiency through cost reductions and fleet modernization while minimizing financial risks associated with aircraft acquisition by utilizing computer programs. Operational modeling has become an essential tool for …

In-Situ Density Measurement For Enhanced Electrorefining Material Accountancy, Edward Mercado, Carlos Mejia, Ranon Fuller, Devin Rappleye

Student Works

To further enhance the proliferation resistance of electrorefining (ER) processes, precise and reliable analytical methods are essential for determining the inventory of fissile material. This can be achieved by electrochemically measuring the salt concentration and converting it to mass using its density. However, the density within the refiner is not fixed, and small variations in salt composition can significantly impact its thermophysical properties. While an ideal mixing model provides reasonable density estimates (with errors up to 2-3%), such errors are unacceptable when precise material accountancy of fissile material is crucial. This study developed a methodology to measure density in situ …

Synergy In Materials: Leveraging Phosphosilicate Waste Forms For Electrochemical Salt Waste, Jonathan S. Evarts, Brian J. Riley, Charmayne E. Lonergan, Michaella S. Harris, Jincheng Bai, Eric W. Bohannan, Iheanyichukwu Ajoku, Saehwa Chong, John S. Mccloy

Materials Science and Engineering Faculty Research & Creative Works

Waste forms containing glassy and crystalline phosphate and silicate phases were produced to immobilize salt waste simulants from pyro processing and characterized by using Raman spectroscopy, Mössbauer spectroscopy, X-ray diffraction, scanning electron microscopy, heat capacity, and chemical durability measurements. In this work, a phosphosilicate waste form is presented to leverage the benefits of both borosilicate glasses and iron phosphate glasses. To improve waste loading, prior to immobilization, salt simulants were successfully dechlorinated using ammonium dihydrogen phosphate, mixed with a borosilicate frit (5–30 wt. %) and Fe2O3, and vitrified. Additions of 2.5–15 wt. % borosilicate glass (NBS3) improved normalized release rates …

The Asset Management Optimization Engine: An Ai And Machine Learning Model Approach To Pavement Asset Management, Matt Versdahl

USF Tampa Graduate Theses and Dissertations

While state Departments of Transportation (DOT) face major funding challenges, the need to find optimal ways to preserve and maintain pavement assets remains. Asset management employs a lowest cost lifecycle method to analyze asset costs and determine the best investment strategies to preserve it throughout its lifecycle. As new technology emerges, so do opportunities to leverage it. DOTs collect a significant amount of performance data on pavement and use it to decide how to keep it in a state of good repair. The literature in this area focuses on engineering techniques applied to treatment strategies. This dissertation research focuses on …

Rheological, Interfacial, And Filtration Behavior Of Lignocellulosic Nanomaterials In Suspension And Emulsion Drilling Fluids, Meen Sung Koo

LSU Doctoral Dissertations

In recent years, the rheological aspects of suspensions/emulsions applied by cellulose nanomaterials (CNMs) have been gained considerable interests due to high gel-forming properties ascribed by hydrophilicity, crystallinity, ease functionalization, and high aspect ratio. Introducing residual lignin in CNMs (LCNMs) seemed to be capable of achieving various advantages in the application of CNMs ascribed by hydrophobicity, binding effects, and abundant aromatic groups derived from complexity of lignin. This dissertation dedicates to the characterizations of (L)CNMs, and rheological properties of (L)CNMs applied fluids (i.e., suspension and emulsion). In the suspension system, the presence of lignin in LCNMs decreased gel strength, viscosity, and …

Quaternary Subsurface Characterization Of The Mississippi River Valley Alluvial Aquifer: Insights From Interval Kriging And Airborne Em-Borehole Data Integration, Yuqi Song

LSU Doctoral Dissertations

The Pleistocene period significantly contributed to the formation of alluvial aquifer worldwide. These productive aquifers are crucial for domestic, industrial, and agricultural water supplies. The Mississippi River Valley alluvial aquifer (MRVA), a principal aquifer in the U.S., is crucial for national food security and global agricultural supply. This study aims to characterize the subsurface architecture of the MRVA, thereby enhancing fundamental understanding of sedimentological processes involved in the genesis of glacio-fluvial aquifers worldwide. The research objectives are threefold: (1) to provide a detailed characterization of the MRVA; (2) to develop 3D geostatistical methods for geological modeling; and (3) to develop …

Modeling And Characterization Of On-Orbit Servicing Architectures For Efficient Mission Planning, Samantha Q. Vi Tang

Theses and Dissertations

As space-based systems become increasingly critical to global infrastructure, efficient satellite maintenance and resource management have become essential to ensuring operational longevity. On-orbit servicing has emerged as a key strategy for extending satellite lifespans, mitigating space debris accumulation, and enhancing the cost effectiveness of space operations. This study presents a comprehensive mixed-integer programming (MIP) model to optimize servicer task assignments and routing while minimizing propellant consumption. The model captures the operational complexities of servicing a network of satellites across multiple orbits by incorporating realistic constraints, such as fuel limitations and task completion time windows. Sensitivity analysis allows mission planners to …

Bear Lake Water Quality And Chemistry: 114 Years Of Water Management, Connely Baldwin

Spring Runoff Conference

Motivation: Fall 2024 Bear Lake Sediment-Nutrient Reduction Workshop (Bear Lake Watch) motivated deeper dive into water quality and chemistry status and trends

Development Of A Low-Cost Stem Dendrometer For Irrigation Scheduling In Fruit Trees, Anderson Luiz Dos Santos Safre, Alfonso Torres-Rua, Brent Black

Spring Runoff Conference

Motivation 

• Irrigation scheduling in water scarce regions. 
• Water stress evaluation in tart cherry orchards.
• Plant-based methods more suitable for tree crops. 
• Elevated cost of commercial dendrometers (> 1,000 USD). 

Parrotfeather (Myriophyllum Aquaticum): Biology And Management Options In Utah, Francielli S. De Oliveira

Spring Runoff Conference

Parrotfeather (Myriophyllum aquaticum)

• Invasive weed from South America.
• Heterophilic perennial dioecious plant (female in the US).
• Forms dense mats, blocks waterways, and outcompetes native species
• Spreads via rhizomes, stolons, and stem fragments.

Comparing Two Methods To Monitor Singlet Oxygen Production In Aquatic Systems: Chemical Probe Vs. Time Resolved Phosphorescence., Monika Madhiyan

Spring Runoff Conference

What’s in water?

• DOM is a naturally occurring complex mixture of organic matter
• Pollutants from domestic, industrial and agricultural effluent are introduced into surface waters

Innovative Genetic Methods For Predicting Microcystin Toxin Production In Cyanobacterial Blooms: Real-Time And Pre-Bloom Public Health Monitoring, Liyuan Hou

Spring Runoff Conference

EQL emphasizes an integrated engineering and science approach to the environmental quality of land, water, and air

Chopping Up The Riverscape: Consistent Sample Frames For Assessment And Monitoring, Jordan Gilbert

Spring Runoff Conference

Background

• Riverscapes Assessment and Monitoring Lab (RAM)
• Joe Wheaton, Wally Macfarlane, Jordan Gilbert
• Founding member of Riverscapes Consortium
• Provide tools for people working in riverscapes
• Primarily planning, implementing, and monitoring restoration projects

Growing Roots: Water Conservation, Innovative Research And Public Education, Aurora Wallis Durfee

Spring Runoff Conference

Hydroponics allows for efficient, sustainable food production, using less water and space than traditional farming methods.

Water Markets In Utah? Water Manager Perspectives On Potential Uptake, Britta L. Schumacher

Spring Runoff Conference

Irrigation organizations: intermediaries that deliver water to farms, ranches, and other users, coordinate investments in conveyance infrastructure, and manage limited water supplies.

Advancing 3d Channel Representation To Support National Scale Flood Forecasting Operations, Jose Castejon Villalobos, Anzy Lee, Noelle Patterson, Belize Lane, Colin Phillips

Spring Runoff Conference

Storms and Flooding are major annual disasters.

Paired Storms Reveal Post-Fire Flood Characteristics And Drivers, Haley Canham, Belize Lane

Spring Runoff Conference

The wildfire regime is changing in the western US.

Davis Aqueduct Reach 1 - The Design And Construction Of Large Diameter Pipelines, Shane Mcfarland

Spring Runoff Conference

Designing and building a seismically resilient 72-inch pipeline.

District Overview: Weber Basin Water Conservancy District

From Vulnerabilities And Concern To Action: How Perceived Climate Vulnerabilities And Concern For The Great Salt Lake Desiccation Shape Utahns’ Migration Decision, Mufti Nadimul Quamar Ahmed, Jennifer E. Givens

Spring Runoff Conference

In light of the current climate crisis, how do Utahns perceive their climate or disaster vulnerabilities and concern for the Great Salt Lake desiccation? Does the perception of vulnerabilities and concern for the Great Salt Lake desiccation influence their intention to migrate from Utah?

Water And Journalism Panel, Heather May, Anastasia Hufham, Ben Winslow, Sheri Quinn

Spring Runoff Conference

Respondents’ sources of information on Great Salt Lake issues

The Practical And The Possible: How Research Informs Policy And Management For Land, Forest, And Water Management, Charlie Luce

Spring Runoff Conference

The practical and the possible: How research informs policy and management for land, forest, and water resources.

What Does Our Water Year Look Like?, Candice Hasenyager

Spring Runoff Conference

Drip Drip Drop: Water in Utah

In Utah, we are either in drought or preparing for the next one

We Shall Have A Seat At The Table, Yanna Liang

Spring Runoff Conference

Uniqueness of ESE 

• The only environmental BS program in the nation that has “Sustainable” in its title.
• Sustainability in water treatment, air pollution control, energy production, resource re-utilization 

The Once And Future Variability Of Colorado River Water Resources, Balaji Rajagopalan

Spring Runoff Conference

The Plot – “Millennium Drought” Since 2000 

• Current Water Crisis 

Impacts Of Changing Temperatures On The Water Budget In The Great Salt Lake Basin, Grace Affram, Jihad Othman, Reza Morovati, Saddy Pineda Castellanos, Sajad Khoshnoodmotlagh, Diana Dunn, Braedon Dority, Katherine Osorio Diaz, Cody Ratterman, Wei Zhang

Spring Runoff Conference

Temperature affects precipitation phases and the evolution of snowpack.

Per- And Polyfluoroalkyl Substance (Pfas) Degradation In Water And Soil Using Cold Atmospheric Plasma (Cap): A Review, Victor Somtochukwu Mbanugo, Boluwatife Stephen Ojo, Ta Chun Lin, Yue-Wern Huang, Marek Locmelis, Daoru Han

Biological Sciences Faculty Research & Creative Works

Per- and polyfluoroalkyl substances (PFASs) are persistent organic chemicals found in numerous industrial applications and everyday products. The excessive amounts of PFASs in water and soil, together with their link to severe health issues, have prompted substantial public concerns, making their removal from the environment a necessity. Existing degradation techniques are frequently lacking due to their low efficiency, cost-effectiveness, and potential for secondary contamination. Cold Atmospheric Plasma (CAP) technology has emerged as a promising alternative, utilizing energized reactive species to break down PFASs under ambient conditions. Therefore, this review examines the efficacy and effectiveness of CAP in degrading PFASs by …

Key Characteristics Of Long-Lived Portland Cement Concrete Airfield Pavements In The United States Air Force Enterprise, Cameron J. Palmer

Theses and Dissertations

The United States Air Force maintains a $30 billion portfolio of airfield pavements essential for national security. Despite their importance, budget constraints have limited average annual repair funding to $260 million over the past decade, requiring pavements to last significantly longer than their typical life span. This project addresses the central question: What design features or characteristics contribute to the longevity of Portland Cement Concrete (PCC) airfield pavements? Utilizing data from AFCEC's Airfield Pavement Evaluation (APE) team and the PAVER sustainment management system, this study employed linear regression, logistic regression, and deep artificial neural network (ANN) modeling techniques to identify …