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Articles 22441 - 22470 of 196351

Full-Text Articles in Engineering

Automated Vehicle Impacts On Underserved Populations, Kate Kyung Hyun, Stephen Mattingly, Katie Kam Jan 2024

Automated Vehicle Impacts On Underserved Populations, Kate Kyung Hyun, Stephen Mattingly, Katie Kam

Publications

This research report describes the scenario framework created to determine the potential role automated vehicles (AVs) have in benefiting and adversely impacting the following underserved populations: people with disabilities and impairments (visually, hearing, physically, intellectually) and with autism spectrum disorder, younger and older populations, immigrants, low income, indigenous, rural, female and LGBTQ+, vulnerable road users (cyclists, pedestrians, low speed riders and drivers), and minority races. After presenting a literature review, three chapters explain the 3 modules of the framework: (1) scenario construction, (2) scenario factors, and (3) GIS methodology for evaluating community level AV impacts. Module 1 describes the use …

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Monotonic And Cyclic Behavior Of High Strength Reinforcing Steel (Hsrs) After High Temperature Exposure, Himan Hojat Jalali, Moein Ebrahimi, Khaled Abuhishmeh, Mohammadamin Soltanianfard Jan 2024

Monotonic And Cyclic Behavior Of High Strength Reinforcing Steel (Hsrs) After High Temperature Exposure, Himan Hojat Jalali, Moein Ebrahimi, Khaled Abuhishmeh, Mohammadamin Soltanianfard

Publications

Conventional reinforced concrete transportation structures in North America often use Grade 40 ksi-60 ksi reinforcing steel. The introduction of high strength reinforcing steel (HSRS) with higher yield strength in the reinforced concrete industry has led to many economic and workability advantages such as construction time saving, reduced labor cost and steel consumption which in turn alleviates congestion of reinforcement, savings in transportation and deliveries that finally results in lower carbon emission. Despite these benefits, many states, including those in Region 6, have not widely adopted the use of higher strength reinforcing steels in practice due to lack of knowledge and …

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Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam Jan 2024

Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam

Publications

Compared to gasoline/diesel cars and battery electric cars (BECs), hydrogen fuel cell cars (HFCCs) are relatively new. Two main advantages of HFCCs over electric vehicles are no special requirements for heavy batteries and long charging time. There is no HFCC in Texas; thus, exploring the use of electricity or hydrogen produced from renewable energies for personal cars and mitigating vehicle emissions is critical for sustaining a long-term decarburization strategy for megacities like Houston and Dallas. This project addressed this critical gap and developed environmental impacts and cost assessments for hybrid gasoline cars, BECs, and HFCCs in Texas under several possible …

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Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky Jan 2024

Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky

Publications

An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …

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Design Of 3d Printable Eco-Concrete By Utilizing Rheology Modifiers For Sustainable Infrastructure, Maryam Hojati, Muhammad Saeed Zafar Jan 2024

Design Of 3d Printable Eco-Concrete By Utilizing Rheology Modifiers For Sustainable Infrastructure, Maryam Hojati, Muhammad Saeed Zafar

Publications

In recent years, 3D printing technology has gained significant momentum across various industries within the construction sector, 3D printing has emerged as a promising technique; however, there are challenges associated with designing suitable construction materials and adjusting their properties for the 3D printing process. One of the key considerations in this regard is the rheological properties, encompassing parameters such as viscosity, yield stress, and thixotropy. These properties play a pivotal role in shaping the characteristics of 3D-printed concrete, both in its fresh and hardened states, including buildability, extrudability, and mechanical performance. Researchers have traditionally relied on chemical admixtures, such as …

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Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin Jan 2024

Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin

Publications

It is widely accepted that road traffic safety is a significant public health issue. One of the effective ways to improve road traffic safety is analyzing crash data to understand where traffic accidents occur, identify associated spatial and temporal patterns, and determine causation. In the State of New Mexico, locations of traffic accidents are currently visualized using a variety of static maps. Although these statics maps are easier to create and producers can control how users view the data, users cannot customize these maps to meet their special needs. That being said, new maps need to be created for any …

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Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky Jan 2024

Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky

Publications

The Fatality Analysis Reporting System database shows that, in stark contrast to the 34 percent decline in non-motorcyclist crash–related fatalities, motorcyclist crash–related fatalities were up 86 percent with only three year-to-year declines since 1997, while non-motorcyclist crash–related fatalities had 13 year-to-year declines since 1997. At the national level, the rate of motorcyclist fatalities per vehicle mile traveled is 29 times higher than the rate among passenger car occupants, with overall injury rates approximately five times higher among motorcyclists than passenger car occupants. Given the frequency of motorcycle crashes and their staggering toll in terms of loss of life and economic …

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Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek Jan 2024

Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek

Publications

This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical …

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Deep Reinforcement Learning-Based Digital Twin For Risk Improved Decision Making In Transportation Construction, Yong-Cheol Lee, Anisha Deria Jan 2024

Deep Reinforcement Learning-Based Digital Twin For Risk Improved Decision Making In Transportation Construction, Yong-Cheol Lee, Anisha Deria

Publications

Organizing and overseeing a large number of transportation construction and maintenance projects that generally entail several miles of a worksite are a critical burden for each DOT. In addition, it requires manual monitoring of a project or construction managers to identify a progress status, a work activity, and a safety issue in a job site. Because of the projected huge volume, complexity, significant impacts of future transportation infrastructure projects, it is evident that we are now facing a critical need to create a means of improving the results of work zone management and evaluating their impacts on our society. In …

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The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky Jan 2024

The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky

Publications

An analysis of traffic patterns during COVID-19 has identified that reduction in the miles traveled has a significant negative correlation with COVID-19 cases and deaths across the USA. Preliminary statistics in the US suggest an increase in fatal crashes over the period of the lockdown in comparison to the same period in previous years. Moreover, while total crashes are down, motor vehicle crashes involving non-motorists became more prevalent. At the same time, non-motorist traffic has increased while motor vehicle traffic and crashes have shifted to the local systems. The main goal of this research is to perform a comprehensive evaluation …

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Calcined Clays As Alternative Supplementary Cementitious Material And Precursor For Geopolymer Binders In Transportation Infrastructure, Hassan Noorvand, Miladin Radovic, Marwa Hassan, Adriana A. Alvarado, Oscar Huang Jan 2024

Calcined Clays As Alternative Supplementary Cementitious Material And Precursor For Geopolymer Binders In Transportation Infrastructure, Hassan Noorvand, Miladin Radovic, Marwa Hassan, Adriana A. Alvarado, Oscar Huang

Publications

This project aimed to assess the feasibility of using locally sourced calcined kaolinitic clays both as supplementary cementitious materials (SCMs) and as precursors for synthesizing geopolymers (GPs). For SCMs, a comprehensive set of characterizations was conducted, including X-ray fluorescence (XRF), X-ray diffraction (XRD), scanning electron microscopy (SEM), thermogravimetric analysis (TGA), particle size analysis, and loss on ignition (LOI), along with evaluations of concrete properties such as strength activity index (SAI), slump, air content, compressive strength, and surface resistivity. For GPs, compressive strength was tested. The study yielded several key findings: (1) Three types of calcined clays (CCs) were analyzed based …

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Prediction Of Moisture Resistance Of Polymeric Asphalt Binders Through The Atomic Force Microscopy (Afm) Technique, Zahid Hossain, Ashraf Elsayed, Khaja Sameer Sadat Jan 2024

Prediction Of Moisture Resistance Of Polymeric Asphalt Binders Through The Atomic Force Microscopy (Afm) Technique, Zahid Hossain, Ashraf Elsayed, Khaja Sameer Sadat

Publications

Moisture damage is a significant concern for state Departments of Transportation (DOTs) and other agencies due to its adverse impact on pavement performance as well as longevity. The main focus of the current study project is to quantify, at the molecular level, the interaction between binder and aggregate at the interface level in the form of adhesion forces between bitumen samples and minerals of various chemical compositions. First of all, A thorough review of the literature on moisture degradation in asphalts was conducted. Based on the literature review, a comprehensive project plan and test matrix were created. Binder samples from …

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Early-Age Strength Monitoring Of Sensor-Embedded 3d Printed Structures, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Kasra Banijamali Jan 2024

Early-Age Strength Monitoring Of Sensor-Embedded 3d Printed Structures, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Kasra Banijamali

Publications

Construction 3D printing (C3DP) is an automated technology that has the potential to reduce the construction time and cost by utilizing different types of robotic systems. Due to the absence of formwork in C3DP, potential excessive water evaporation can cause issues to the freshly-printed structures that are exposed to the ambient curing condition. Moreover, the 3D printed elements should carry the service loads in a short time after printing to provide a load-bearing capacity. Destructive and non-destructive methods are the two types of methods that are being used in the construction industry for quality monitoring. Due to the time-consuming nature …

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Design And Fabrication Of Quantum Cascade Laser Tree Arrays, Luke Milbocker Jan 2024

Design And Fabrication Of Quantum Cascade Laser Tree Arrays, Luke Milbocker

Graduate Thesis and Dissertation 2023-2024

Quantum cascade lasers (QCLs) are semiconductor lasers that can be designed to emit over a very broad wavelength range from the mid-wave infrared (MWIR) to terahertz frequencies. Their compact size and ability to output several watts of MWIR or long-wave infrared (LWIR) radiation makes them ideal sources for directional infrared counter measures (DIRCM). This application is fueling demand for ever more powerful QCLs, but power gains from single QCLs have largely stagnated in recent years. Novel waveguide geometries such as tree-arrays seek to increase output power delivered in a single high-quality beam. InGaAs/AlInAs tree array QCLs based on ridge waveguides …

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Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Lift Ring, Sai Sasank Pothamsetti Jan 2024

Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Lift Ring, Sai Sasank Pothamsetti

All Graduate Theses, Dissertations, and Other Capstone Projects

A comparative study of robotic and manual welding in a low volume high mix manufacturing environment focusing on a truck body part named the lift ring to see if there is a benefit of incorporating robotic welding into the production line. By utilizing predetermined time studies such as Methods Time Measurement 1(MTM-1) and Maynard’s Operation Sequence Technique (MOST) in conjunction with normal time and motion study to see which method of time study can be used to extrapolate the times of production for higher number of parts. MTM-1 and MOST were used for a detailed time and motion analysis which …

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Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Tail Gate, Aditya Suggula Jan 2024

Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Tail Gate, Aditya Suggula

All Graduate Theses, Dissertations, and Other Capstone Projects

Our study rigorously compared the efficacy of Methods-Time Measurement (MTM 1) and Maynard Operation Sequence Technique (MOST) against actual production times to identify the most accurate and efficient time management frameworks for manufacturing processes. We aimed to discern which method better predicts job completion times in a real-world setting, using a case study that included both manual and robotic welding in the assembly of a truck body part, the tipper tailgate. We discovered notable discrepancies between the predetermined time systems and actual observations, particularly in manual welding tasks. These differences highlighted the complexity of manual tasks, which involve intricate movements …

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Takt Time Reduction Of Genset Assembly Line Using Process Optimization And Lean Manufacturing Tools, Ninad Joshi Jan 2024

Takt Time Reduction Of Genset Assembly Line Using Process Optimization And Lean Manufacturing Tools, Ninad Joshi

All Graduate Theses, Dissertations, and Other Capstone Projects

With rapid developments in the field of AI and data centers, there is a soaring demand for backup power and due to this, genset manufacturers are compelled to increase their throughput and reduce lead times. This study focuses on incorporating process optimization and lean tools for lowering the overall takt time by reducing the cycle time of the generator assembly process of Line 1 at Rolls Royce Solutions America Inc. The eventual goal is to increase the throughput from 6 generators per day to 7 per day. The paper follows a step-by-step methodology starting from the problem statement and uses …

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Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Jr Test 2, Pooma Pragna Mysore Jan 2024

Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Jr Test 2, Pooma Pragna Mysore

All Graduate Theses, Dissertations, and Other Capstone Projects

A comparative study of robotic and manual welding in a low volume high mix manufacturing environment focusing on a truck body part named the JR Test 2 to see if there is a benefit of incorporating robotic welding into the production line. By utilizing predetermined time studies such as Methods Time Measurement 1(MTM-1) and Maynard’s Operation Sequence Technique (MOST) in conjunction with actual welding time and motion study to see which method of time study can be used to extrapolate the times of production for higher number of parts. MTM-1 and MOST were used for a detailed time and motion …

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Optimizing Production In An Electronics Manufacturing Industry Using Six Sigma: A Dmaic Approach To Process Enhancement, Shubham Parekh Jan 2024

Optimizing Production In An Electronics Manufacturing Industry Using Six Sigma: A Dmaic Approach To Process Enhancement, Shubham Parekh

All Graduate Theses, Dissertations, and Other Capstone Projects

This paper focuses on the application of DMAIC (Define, Measure, Analyze, Improve and Control) process of Six Sigma methodology for increasing the production numbers in an electronics manufacturing industry. The overall production numbers are improved by identifying the root causes and improving the process efficiency. Detailed analysis of the process cycle time for all stations is conducted and key areas for improvement are identified. Proper implementation of the suggested changes is conducted, and the results are verified. Further recommendations are provided for addressing the key improvement areas for reducing the cycle time of the bottleneck process. The findings highlight the …

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Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Cross Head, Niloufer Sarah Jan 2024

Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Cross Head, Niloufer Sarah

All Graduate Theses, Dissertations, and Other Capstone Projects

A comparative study of robotic and manual welding in a low volume high mix manufacturing environment focusing on a truck body part named the Cross head to see if there is a benefit of incorporating robotic welding into the production line. By utilizing predetermined time studies such as Methods Time Measurement 1(MTM-1) and Maynard’s Operation Sequence Technique (MOST) in conjunction with actual welding time and motion study to see which method of time study can be used to extrapolate the times of production for higher number of parts. MTM-1 and MOST were used for a detailed time and motion analysis …

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Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Jr Test 3, Mayank Srinivasamurthy Jan 2024

Comparative Study Of Robotic And Manual Welding In A Low Volume-High Mix Manufacturing Environment: Case Study Of Jr Test 3, Mayank Srinivasamurthy

All Graduate Theses, Dissertations, and Other Capstone Projects

This thesis presents a comparative study of robotic and manual welding within a low-volume, high-mix manufacturing environment, focusing on the JR Test 3 case study. It explores the implementation of collaborative robots (co-bots) for robotic welding, emphasizing their flexibility, adaptability, and safety features. The study examines the integration and performance of co-bots. A detailed time and motion study, along with cost analysis, highlights the efficiency gains and quality improvements achieved through robotic welding. The findings underscore the advantages of co-bots in enhancing workflow efficiency, ensuring precision, and maintaining safety standards in dynamic manufacturing environments. The results showed that for this …

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River Response To Removal Of A Small Dam And Replacement With A Roughened Channel, Chandler Sabin Jan 2024

River Response To Removal Of A Small Dam And Replacement With A Roughened Channel, Chandler Sabin

All Master's Theses

Relatively few studies have analyzed how the removal of small dams and re-engineering of the channel affect river channel processes. The low-head Nelson Dam was built in 1920 on the Naches River in central Washington, causing two miles of aggraded sediments. This resulted in upstream flooding and excessive downstream incision that led to ineffective irrigation diversions, and hindered fish spawning. Nelson Dam was removed in 2021 and replaced with a graded, roughened, nature-like channel and a newly engineered diversion that was completed in 2023. The research presented here quantifies the effects of the Nelson Dam removal and channel redesign on …

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Physiologically Relevant Cardiac Tissue Chips For Cardiovascular Disease Modeling, Sachin Budhathoki Jan 2024

Physiologically Relevant Cardiac Tissue Chips For Cardiovascular Disease Modeling, Sachin Budhathoki

All ETDs from UAB

Despite significant advances in our understanding of the molecular basis of cardiovascular diseases (CVD) and the development of new therapeutics, it remains the number one cause of death worldwide, particularly affecting the aging population. This necessitates the development of models that can more accurately recreate aspects of aging and the interaction of the heart with other organs and systems in the body, including the immune system. Tissue chip models are being increasingly considered for studying cardiac diseases as they can potentially address translational hurdles associated with animal models, yet several challenges hinder their full potential. These include a lack of …

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Mechanical Behaviors Of Additively Manufactured Fiber-Reinforced Thermoplastic Composites, Yu-Chao Shih Jan 2024

Mechanical Behaviors Of Additively Manufactured Fiber-Reinforced Thermoplastic Composites, Yu-Chao Shih

All ETDs from UAB

Additive manufacturing (AM) technologies are advantageous in small-batch manufacturing and prototyping functional parts, due to their cost-effectiveness and customizability. Using fiber-reinforced plastic composites (FRP) in extrusion-based AM can significantly improve the mechanical properties compared to neat thermoplastic. However, the two-fold anisotropy introduced by the multiple constituent materials and the layer-by-layer mesostructure can introduce undesired structural weaknesses. Investigating the mechanical behavior and failure mechanism is the key to understanding the synergistic effect of the constituents in FRP and assessing the structural integrity of AM-made FRP. This research work aims to experimentally, analytically, and numerically assess the mechanical behaviors of AM composite …

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Removal Of Phosphorous, Copper And Zinc From Stormwater Using Powdered Activated Carbon (Pac) Based Water Treatment Residuals, Foysol Mahmud Jan 2024

Removal Of Phosphorous, Copper And Zinc From Stormwater Using Powdered Activated Carbon (Pac) Based Water Treatment Residuals, Foysol Mahmud

Electronic Theses and Dissertations

The main aim of this research was to evaluate the efficacy of Powdered Activated Carbon (PAC) based water treatment residual (WTR) in eliminating phosphorus (P), Copper (Cu), and Zinc (Zn) from stormwater. The characteristics of the PAC WTR were analyzed, and a series of batch and column tests were conducted to determine its capacity to remove P, Cu, and Zn from stormwater and synthetic solutions. The PAC WTR conformed to the Langmuir isotherm model, demonstrating P adsorption capacities of 3.51 mg/g at pH 5. Regarding Cu and Zn removal, the PAC WTR also adhered to the Langmuir isotherm model, showing …

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Feasibility Study Of Managing Peak Cooling Loads To Achieve Energy Cost Reduction In A Northern Climate Campus, Mark Rizkalla Jan 2024

Feasibility Study Of Managing Peak Cooling Loads To Achieve Energy Cost Reduction In A Northern Climate Campus, Mark Rizkalla

Electronic Theses and Dissertations

South Dakota State University Facilities and Services Office is facing the challenge of paying high electricity bills every year, the potential of campus growth will add more burden on the energy needed to cover this demand, especially in summer months when high cooling loads are added to the electrical loads which lead to the peak loads that costs SDSU a large amount of money. The purpose of this research is to study the feasibility of managing the peak loads to reduce energy costs by applying a suitable system that fits SDSU campus nature. The methodology used is studying the capability …

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Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries, Yaohua Liang Jan 2024

Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries, Yaohua Liang

Electronic Theses and Dissertations

Graphene, a prevalent anode material in commercial lithium-ion batteries, has reached its theoretical capacity limit. The imperative is to develop high-capacity anode materials to meet the growing demand for energy density. Lithium metal, renowned for its exceptionally high theoretical specific capacity density (3680 mAh g-1) and low reduction potential (-3.04 V, relative to the standard hydrogen electrode), is commonly dubbed the "Holy Grail" for negative electrode materials in high-energy-density batteries. However, practical advancements in lithium metal anodes face obstacles like low Coulombic efficiency, limited cycle life, and heightened reactivity to the electrolyte and internal short circuits resulting from lithium dendrite …

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Simulation Of Reacting Supersonic Flow In A Cavity Flameholder, Mohamed Benjelloun Touimi Jan 2024

Simulation Of Reacting Supersonic Flow In A Cavity Flameholder, Mohamed Benjelloun Touimi

Electronic Theses and Dissertations

Scramjet engines, or Supersonic Combustion Ramjets, are pivotal for achieving and maintaining hypersonic flight speeds. These engines leverage the high-speed airflow to compress and mix air and fuel for combustion. A significant challenge in Scramjet engine design is ensuring stable and efficient combustion within this high-speed environment. Cavity flameholders are crucial components that stabilize the combustion process by creating a subsonic region where the fuel-air mixture can ignite and sustain combustion. This research simulates this supersonic flow within the combustion chamber to accurately model and analyze the combustion dynamics. Various turbulence models, including RANS, and DES, are evaluated for their …

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Evaluation Of Nutrient Removal From Modified Woodchips And Organic Matter Leached From Tree Leaves After Simulated Wildfire Thermal Alteration, Zengyue Wang Jan 2024

Evaluation Of Nutrient Removal From Modified Woodchips And Organic Matter Leached From Tree Leaves After Simulated Wildfire Thermal Alteration, Zengyue Wang

Electronic Theses and Dissertations

Nonpoint source pollution (NPS) from stormwater runoff, carrying a variety of contaminants, presents substantial challenges to water treatment processes and public health. Among the primary pollutants, phosphate and nitrate significantly contribute to the degradation of water quality, resulting in issues such as eutrophication and methemoglobinemia. Tree leaves, which are a major source of dissolved organic carbon (DOC) in forested watersheds and serve as a key fuel for wildfires, further exacerbate these challenges. Post-wildfire, the altered DOC is mobilized by precipitation, leading to stormwater runoff that impacts natural water bodies and complicates treatment processes, particularly through the formation of hazardous disinfection …

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Evaluating The Impact Of Perceptual Loss In Generative Adversarial Models And Diffusion Models For Document Image Enhancement, Farzaneh Karimpour Jan 2024

Evaluating The Impact Of Perceptual Loss In Generative Adversarial Models And Diffusion Models For Document Image Enhancement, Farzaneh Karimpour

Electronic Theses and Dissertations

Documents often suffer from various types of degradation which make them difficult to read and restrict OCR performance. This study investigates the effectiveness of perceptual loss in enhancing document image cleanup by comparing a GAN-based model and a diffusion model. In our experiments, we utilized the DE-GAN model as a GAN-based model and the NAF-DPM model as a diffusion model, both enhanced by incorporating perceptual loss. We then compared the results of both models and evaluated them by using the DIBCO 2013, DIBCO 2017, and H-DIBCO 2018 datasets revealed that our approach consistently outperforms existing state-of-the-art methods. Results showed that …

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