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An Introduction To The Time-Independent Schrödinger Equation And Methods To Solve It, Vu Giang, Alex Gnech Oct 2024

An Introduction To The Time-Independent Schrödinger Equation And Methods To Solve It, Vu Giang, Alex Gnech

OUR Journal: ODU Undergraduate Research Journal

The Time-Independent Schrödinger Equation is a linear elliptic PDE that describes quantum-mechanical systems. Its significance in the science of submicroscopic phenomena, particularly quantum mechanics, is as central as Newton’s laws of motion are to classical mechanics. This study uses various methods, including novel neural networks and finite difference schemes, to solve the one-dimensional two-body equation.


Asymptotic Expansion Of A Maier-Saupe Type Potential Near The Nematic-Isotropic Transition Point In Liquid Crystals, Ryan P. Oneill, Giangvuthanh Nguyen, Xiang Xu Oct 2024

Asymptotic Expansion Of A Maier-Saupe Type Potential Near The Nematic-Isotropic Transition Point In Liquid Crystals, Ryan P. Oneill, Giangvuthanh Nguyen, Xiang Xu

OUR Journal: ODU Undergraduate Research Journal

In this paper we study a Maier-Saupe type bulk potential (Maier & Saupe, 1959) in the Landau-de Gennes free energy in the Q-tensor theory modeling nematic liquid crystal configurations. This potential was originally introduced in Katriel et al. (1986), which is considered as a natural enforcement of a physical constraint on the eigenvalues of symmetric, traceless Q-tensors. More specifically, we present a rigorous derivation of the asymptotic expansion of this singular potential near the nematic-isotropic transition point up to the 4-th order.


Instructional Systems Design: The Diffusion And Adoption Of Technology: (Volume 2), Cassandra Celaya (Author), Pamela J. Downing (Author), Jessica Shifflett (Author), Debbie Gdula (Author), Tracie Barr (Author), Miguel Ramlatchan (Author & Editor) Oct 2024

Instructional Systems Design: The Diffusion And Adoption Of Technology: (Volume 2), Cassandra Celaya (Author), Pamela J. Downing (Author), Jessica Shifflett (Author), Debbie Gdula (Author), Tracie Barr (Author), Miguel Ramlatchan (Author & Editor)

University Administration Bookshelf

Instructional designers, instructional systems designers, and other educational technologists are, by their nature, innovators. These professionals apply and extend the applied science of learning, systems, communication, and instructional design theory to help students learn. Technology in some capacity is used to make the connections between subject matter experts, teachers, instructors, and their learners. It is common for instructional designers to seek new tools, techniques, and innovations for the improvement of learning, access, quality, and student satisfaction. However, the adoption and diffusion of new educational technology and innovation is a complex process that depends on many variables. Understanding these processes and …


Network Analysis Of Virginia’S Mineralogical Systems, Cadence M. Boucher, Ahmed M. Eleish, Robert M. Hazen, Shaunna M. Morrison Oct 2024

Network Analysis Of Virginia’S Mineralogical Systems, Cadence M. Boucher, Ahmed M. Eleish, Robert M. Hazen, Shaunna M. Morrison

Virginia Journal of Science

The principal objective of this study was to use network analysis to identify spatial, geomorphic, physical, and chemical patterns in Virginia’s mineralogical systems. Mineralogical and locality data from mindat.org were visualized as a bipartite force- directed network of the minerals and the counties of Virginia in which they occur. Mineral nodes were sized to represent the number of counties the minerals are found in (i.e., frequency of occurrence) and county nodes were sized to represent the number of minerals found in that county (i.e., mineral diversity). Furthermore, the nodes were colored to display selected attributes of the mineral-county data. County …


Program: Virginia Academy Of Science 102nd Annual Meeting, 2024, Virginia Academy Of Science Oct 2024

Program: Virginia Academy Of Science 102nd Annual Meeting, 2024, Virginia Academy Of Science

Virginia Journal of Science

Full program of the 102nd Annual Meeting of the Virginia Academy of Science produced by the VAS. The meeting took place on May 16, 2024, at the University of Mary Washington in Fredericksburg, Virginia.


Navigating Identity And Belonging: Itinerant Teachers Of The Deaf/Hard Of Hearing And The Blind/Visually Impaired As Structural Hole Spanners In Educational Ecosystems, Rj Horstmyer Oct 2024

Navigating Identity And Belonging: Itinerant Teachers Of The Deaf/Hard Of Hearing And The Blind/Visually Impaired As Structural Hole Spanners In Educational Ecosystems, Rj Horstmyer

Educational Leadership & Workforce Development Theses & Dissertations

Itinerant Teachers of the Deaf/Hard of Hearing and Itinerant Teachers of the Blind/Visually Impaired are highly specialized teachers and service providers who provide services to students who make up less than two percent of all students eligible for special education services and subsequently experience high levels of mobility between many schools. This study unearths the lived experiences of IToDs and ITVIs and examines how their itinerancy and ecological factors shape their identity and organizational belonging within and between multiple social networks. Participants were those currently employed as either Itinerant Teacher of the Deaf/Hard of Hearing or Itinerant Teachers of the …


An Agent-Based Approach For Designing A Sustainable Supplier Selection In Stochastic Environment: A Simulation Study, Sheida Etemadidavan Oct 2024

An Agent-Based Approach For Designing A Sustainable Supplier Selection In Stochastic Environment: A Simulation Study, Sheida Etemadidavan

Engineering Management & Systems Engineering Theses & Dissertations

In the 21st century, businesses are constantly striving for competitive advancement and increasing their economic performance in the rapidly changing market. Collaboration with other businesses and partnerships with them are becoming more common. As such, businesses are starting to invest in finding the right partners to stay competitive in an ever-changing business landscape. Suppliers play a crucial role in businesses' decision-making as they provide the materials, goods, and services necessary for a company to operate and succeed. Therefore, their selection, management, and relationship must be carefully considered to ensure optimal performance and profitability. A sustainable framework in a business's relationship …


Measuring Clas12 D(E, E′Π±) Cross Sections For E4nu, Caleb Fogler Oct 2024

Measuring Clas12 D(E, E′Π±) Cross Sections For E4nu, Caleb Fogler

Physics Theses & Dissertations

Neutrino experiments need neutrino event generators such as GENIE to simulate neutrino-nucleus (νA) interactions in order to measure neutrino oscillations. We need eA data to validate GENIE. GENIE d(e, e′ ) cross sections do not match data in the pion production region. Further analysis of this region can help constrain GENIE models. The goal of this project was to compare 4.244 GeV CLAS12 d(e, e′π±) cross sections to GENIE predictions. We analyzed data from the Fall 2019 run period of Run Group B (RG-B). We applied particle identification, fiducial, and vertex …


An Interaction Between Mental Integration And Levels Of Automation: An Analytic Approach Applying Systems Factorial Technology, Shelby Kate Scarbrough Long Oct 2024

An Interaction Between Mental Integration And Levels Of Automation: An Analytic Approach Applying Systems Factorial Technology, Shelby Kate Scarbrough Long

Psychology Theses & Dissertations

Automation has become nearly ubiquitous in modern society, supporting human performance in personal and professional tasks. Recent works have begun to focus on human-automation performance in speeded perceptual-cognitive tasks using workload capacity analysis, a novel mathematical analysis to measure efficiency of a human-automation team. The present dissertation examined how level of automation and demand for mental integration of information influence human-automation efficiency. Participants performed a multi-element probabilistic decision task with or without the assistance of an automated aid where level of automation and task demand were manipulated. Experiment 1 employed a mixed design with Automation (present vs. absent) and Task …


Refinement Of Alphafold-Predicted Models Using Cryo-Em Density Maps And Enhancement Of Protein Secondary Structure Topologies With Residue Contacts, Maytha Naif Alshammari Oct 2024

Refinement Of Alphafold-Predicted Models Using Cryo-Em Density Maps And Enhancement Of Protein Secondary Structure Topologies With Residue Contacts, Maytha Naif Alshammari

Computer Science Theses & Dissertations

Proteins play an important role in almost every biological process. Understanding the mechanism of protein function requires knowledge of three-dimensional (3D) structures. Traditionally, the determination of 3D structures has presented significant challenges. However, Cryo-Electron Microscopy (Cryo-EM) has revolutionized the field of structural biology, providing a powerful technique for atomic structure determination. This dissertation delves into the potential of cryoEM in two ways. First, this dissertation presents a new flexible fitting approach, utilizing Normal Mode Analysis (NMA) and Elastic Network Models (ENMs) to refine AlphaFold-predicted models by optimizing the structures to match cryo-EM density maps. This approach identifies the optimal mode …


Comprehensive Study Of Energy Capturing, Conversion, And Transportation Behaviors In A Piezoelectric Vibration Energy Harvesting System, Bingqi Zhao Oct 2024

Comprehensive Study Of Energy Capturing, Conversion, And Transportation Behaviors In A Piezoelectric Vibration Energy Harvesting System, Bingqi Zhao

Mechanical & Aerospace Engineering Theses & Dissertations

Piezoelectric vibration energy harvester (PEH) is one of the hottest research areas to address renewable energy issues with over 10,000 journal articles published in the last two decades. However, several critical issues, such as the proof mass effects, electrical impedance, mechanical resonance, and energy charging processing, remain open. This dissertation presents a comprehensive study addressing the above issues.

To obtain reliable results, a professional quality flextensional PEH (FPEH) and multiple comprehensive experimental methods were developed, and ANSYS FEM modelling was used. Study of the proof mass effect indicated that the generated voltage linearly increased with the weight ratio of the …


Error And Correction Analysis For The Ffa@Cebaf Energy Upgrade, Alexander Mattison Coxe Oct 2024

Error And Correction Analysis For The Ffa@Cebaf Energy Upgrade, Alexander Mattison Coxe

Physics Theses & Dissertations

An energy upgrade design for the Continuous Electron Beam Accelerator Facility (CEBAF) is under development, using fixed field alternating gradient (FFA) return arcs to recirculate electron beam up to an additional five times through the accelerating structures at CEBAF. A necessary component of any large accelerator is a beam steering and optical correction system. Small environmental changes and system errors can lower beam quality or even shut down the machine; and in pursuit of the scientific mission of JLab, high quality electron beams must be delivered to the experimental halls on a predictable schedule. Correction in the novel FFA arcs …


Etdsuite: A Toolkit To Mine Electronic Theses And Dissertations To Enrich Scholarly Big Data Using Natural Language Processing And Computer Vision, Muntabir Hasan Choudhury Oct 2024

Etdsuite: A Toolkit To Mine Electronic Theses And Dissertations To Enrich Scholarly Big Data Using Natural Language Processing And Computer Vision, Muntabir Hasan Choudhury

Computer Science Theses & Dissertations

In the past decades, there has been a growing interest in mining scientific documents to obtain domain knowledge automatically. One of the understudied types of scientific documents is Electronic Theses and Dissertations (ETDs), as ETDs have distinct features compared with conference proceedings and journal articles. ETDs usually serve as partial requirements of academic degrees for students pursuing higher education. They are book-length documents (i.e., 100 – 400 pages long), and the topics may shift across chapters, exhibit the significant contribution of a student’s research over the entire degree pursuing period, and have unique metadata schema and page layouts. However, the …


Symbolic Regression For Data-Driven Equation Discovery: A Physics-Informed Approach, Anusha Reddy Singireddy Oct 2024

Symbolic Regression For Data-Driven Equation Discovery: A Physics-Informed Approach, Anusha Reddy Singireddy

Computer Science Theses & Dissertations

Symbolic Regression (SR) is a cutting-edge machine learning technique that discovers mathematical expressions representing the underlying patterns in data. Unlike traditional regression, SR explores a wide range of mathematical models, allowing for flexible and interpretable solutions. We utilize PySR, a highly customizable symbolic regression package, which combines genetic programming and modern optimization methods to efficiently search for interpretable equations. PySR balances model complexity with performance by penalizing overly complex expressions while optimizing accuracy. In this thesis, we apply Physics-informed Symbolic Regression through PySR to model the x and t dependence of the flavor isovector combination Hu − d( …


Suppression Of Dynamic Aeroelastic Response Of A Semispan Wing Using Traditional And Distributed Sensing, James Ramey Oct 2024

Suppression Of Dynamic Aeroelastic Response Of A Semispan Wing Using Traditional And Distributed Sensing, James Ramey

Mechanical & Aerospace Engineering Theses & Dissertations

Characterization and management of aeroelastic effects are a vital part of aircraft design. Mitigation of these effects often includes control systems to suppress the vibrations. Control systems are constantly being developed and improved, with one such avenue of development being new sensing systems that can increase the information fed into the controller. Fiber Optic Strain Sensing (FOSS) technology is one such system that utilizes Fiber Bragg Gratings (FBGs) on a fiber optic cable to sense the strain on structural elements. This system has promise as a high-density feedback device, and the maturation of the technology has allowed assessment of its …


A Quantitative Study Assessing The Impact Of Financial Sector Safeguards Rules On Us Publicly Traded Companies' Cybersecurity Breach Frequency And Severity, Alan Dinerman Oct 2024

A Quantitative Study Assessing The Impact Of Financial Sector Safeguards Rules On Us Publicly Traded Companies' Cybersecurity Breach Frequency And Severity, Alan Dinerman

School of Public Service Theses & Dissertations

Cybersecurity failure in the private sector is a growing federal policy priority. Nevertheless, US policy makers struggle with policy instrumentation in this domain. Behavioral public policy theory asserts that a linkage exists between policy target behavioral & cultural attributes and effective policy tool instrumentation. The federal government is now embracing a regulation heavy approach, but little empirical study exists at the nexus of behavioral public policy theory and use of regulatory tools in the cybersecurity policy domain. Since the early 2000s, the financial sector has employed a regulation heavy approach using the Safeguards regulations to facilitate cybersecurity in financial private …


Thermal Management For Optimal Performance Of Unitized Regenerative Fuel Cells, Mythy T. Tran Oct 2024

Thermal Management For Optimal Performance Of Unitized Regenerative Fuel Cells, Mythy T. Tran

Mechanical & Aerospace Engineering Theses & Dissertations

As the race to net zero energy intensifies around the world, hydrogen production and fuel cell technologies are attracting more attention, and the technologies are growing rapidly. Together, hydrogen production and fuel cell technologies hold potential for a reliable, green, and sustainable energy system. Hydrogen is an excellent energy carrier and can be produced from various sources, especially green and renewable sources. Fuel cells generate electricity and water from hydrogen and oxygen. In reverse mode, fuel cells operate as electrolyzers to produce hydrogen and oxygen from electricity and water. However, the major drawback that keeps hydrogen and fuel cells from …


The Phenomenology Of Experiencing Critical Thinking In Vocational Higher Education, Sean Castleberry Oct 2024

The Phenomenology Of Experiencing Critical Thinking In Vocational Higher Education, Sean Castleberry

Educational Leadership & Workforce Development Theses & Dissertations

This study investigated the role of critical thinking in vocational education within the Virginia Community College System by examining the lived experience of administrators, faculty, and students who are associated with vocational education. To complete this task, the researcher employed a phenomenological methodology primarily based on the philosophy of Martin Heidegger and other phenomenological philosophers including Edmund Husserl, Mark D. Vagle, and Karin Dahlberg. The goal of the research was to serve as a beginning and help close the gap in knowledge concerning how critical thinking is defined in vocational education, why it is seen as an important part of …


A Self Consistent 2d Simulation Of Coherent Synchrotron Radiation Effects On Beam Dynamics, Dallan Duffin Oct 2024

A Self Consistent 2d Simulation Of Coherent Synchrotron Radiation Effects On Beam Dynamics, Dallan Duffin

Physics Theses & Dissertations

An increasing interest in high quality and high current electron beams necessitates a thorough understanding and prediction of coherent synchrotron radiation effects. The self-interaction of charged particles in a beam undergoing synchrotron motion is a physically significant process that is all too often computationally intensive with very little analytical results to rely on for the general case. The coherent spectrum of this interaction is of utmost importance to the design of free electron lasers (FELs) and an accurate assessment is imperative for their design. This work presents a novel implementation to the numerical simulation of charged particle beams. The simulation …


Simulating The Compound Impacts Of Climate Change And Sea-Level Rise On Coastal Shallow Groundwater Using An Integrated Surface-Subsurface Hydrologic Model, Zhaoyi Cai Oct 2024

Simulating The Compound Impacts Of Climate Change And Sea-Level Rise On Coastal Shallow Groundwater Using An Integrated Surface-Subsurface Hydrologic Model, Zhaoyi Cai

Civil & Environmental Engineering Theses & Dissertations

As climate change intensifies and sea levels rise, coastal aquifers become increasingly vulnerable to interacting oceanic and terrestrial processes. This dissertation examines the combined impacts of climate change and sea-level rise (SLR) on coastal shallow groundwater using an integrated surface-subsurface hydrologic model, focusing on the low-lying Little Creek watershed (LCW) in Norfolk, Virginia. The SWAT-MODFLOW model, a coupled system, unifies land surface, streamflow, and groundwater processes, providing a comprehensive framework for watershed-aquifer analysis. Model parameters were derived from U.S. Geological Survey datasets, relevant literature, station records, and technical reports, followed by meticulous calibration. The validated model first simulated baseline groundwater …


Computer Based Modeling For Small E-Vtol Propeller Performance, Ege Konuk Oct 2024

Computer Based Modeling For Small E-Vtol Propeller Performance, Ege Konuk

Mechanical & Aerospace Engineering Theses & Dissertations

The emerging field of urban air mobility (UAM) offers a novel transportation method for civil, commercial, and military applications. Vertical take-off and landing (VTOL) configurations present challenges for performance prediction during crucial flight operations. An advanced computational framework for predicting propeller performance in electric vertical takeoff and landing (eVTOL) aircraft during transition flight is essential for future concept designs. This research extends the Blade Element Momentum Theory (BEMT) to model propeller behavior at high incidence angles, crucial for eVTOL operation.

The study begins with a review of tilt-wing/rotor configurations for eVTOLs and tackles the complex aerodynamic phenomena associated with rotors …


Coach To Teach: Effects Of Ecoaching On Special Education Teacher Implementation Of Discrete Trial Training, Olga Karadimou Oct 2024

Coach To Teach: Effects Of Ecoaching On Special Education Teacher Implementation Of Discrete Trial Training, Olga Karadimou

Human Movement Studies & Special Education Theses & Dissertations

The growing shortage of special education teachers (SETs) and declining retention rates across numerous United States (U.S.) school districts pose a serious threat to the quality of education provided to students with disabilities. One of the ongoing challenges is the significant gap between evidence-based practices (EBPs) and their actual implementation in classrooms. Researchers emphasize the importance of providing high-quality professional development (PD) targeting the use of EBPs in the classroom, as doing so has been linked to SET retention (Berry & Gravelle, 2013; Berry et al., 2011; Hagaman & Casey, 2018; Reagan et al., 2019). This study aimed to experimentally …


An Integrated Theoretical Socio-Technical Framework For Implementing Service Robots’ Integration In Healthcare, Sujatha Alla Oct 2024

An Integrated Theoretical Socio-Technical Framework For Implementing Service Robots’ Integration In Healthcare, Sujatha Alla

Engineering Management & Systems Engineering Theses & Dissertations

Healthcare workers, either clinical or non-clinical, are obligated to serve patients. However, lack of a sufficient number of professionals leads to burnout, severe stress, and, consequently, decreased quality of services. In this context, very few countries have been successful in employing service robots to perform dull, dirty, and/or dangerous tasks related to patient wellbeing/healthcare, while most countries are still skeptical about it. As robotics advances, there is an opportunity for healthcare to take advantage of this technology to reduce personnel workload and to reduce the possibility of exposure to contagious pathogens. However, healthcare is a vulnerable environment and requires critical …


Machine Learning And Simulation Techniques For Detecting Buoys From Lidar Data, Christopher Adolphi Oct 2024

Machine Learning And Simulation Techniques For Detecting Buoys From Lidar Data, Christopher Adolphi

Electrical & Computer Engineering Theses & Dissertations

Maritime autonomy, specifically the use of autonomous and semi-autonomous maritime vessels, is a key enabling technology supporting a set of diverse and critical research areas, including coastal and environmental resilience, assessment of waterway health, ecosystem/asset monitoring and maritime port security. Critical to the safe, efficient and reliable operation of an autonomous maritime vessel is its ability to perceive the external environment through onboard sensors. The main sensor utilized in this research is a LiDAR sensor. This sensor is able to generate point clouds of the surrounding environment, of which a machine learning model is used to label each point in …


Optical Investigation Of A Low-Pressure Plasma In A Superconducting Radio-Frequency Cavity, Zachary A. Caudell Oct 2024

Optical Investigation Of A Low-Pressure Plasma In A Superconducting Radio-Frequency Cavity, Zachary A. Caudell

Electrical & Computer Engineering Theses & Dissertations

The state-of-the-art cryomodules for particle accelerators use superconducting radio-frequency (SRF) cavities. It is known that accumulation of hydrocarbon impurities reduces the cavity surface work function, decreasing cryomodule performance metrics such as field emission, thermal stability, and accelerating gradients. An in-situ method of plasma processing has recently been developed to clean the cavities and restore cryomodule performance [1]. This study is to understand the properties of the low-pressure plasmas generated in a C100 SRF cavity and ultimately to improve the performance of plasma surface cleaning using optical emission spectroscopy. Using a 500 mm focal length Czerny-Turner monochromator coupled with a photomultiplier …


Roles Of The His-Purkinje System In Long Qt Syndrome Mediated Arrhythmias, Anthony Owusu-Mensah Oct 2024

Roles Of The His-Purkinje System In Long Qt Syndrome Mediated Arrhythmias, Anthony Owusu-Mensah

Biomedical Engineering Theses & Dissertations

Long QT syndrome (LQTS) is a genetic or drug-induced electrophysiological disorder in the heart that prolongs the QT interval on the electrocardiogram. LQTS is present in considerable proportions (1:3000 to 1:5000) of the general population. LQTS has a high incidence of malignant ventricular arrhythmias during physical and emotional stress and is a significant cause of sudden death in younger subjects. This poses a substantial medical burden on the healthcare system in terms of morbidity, mortality, and finances. Despite extensive genetic research into LQTS, the mechanisms underlying spontaneous initiation and maintenance of arrhythmias are not fully understood. Beta-blockers are the standard …


Workforce Education And Labor Market Demands For North Carolina Community Colleges, Christina Anne Bunch Oct 2024

Workforce Education And Labor Market Demands For North Carolina Community Colleges, Christina Anne Bunch

Educational Leadership & Workforce Development Theses & Dissertations

In response to evolving labor market demands, community colleges play a crucial role in providing accessible, high-quality education that addresses regional workforce needs. However, they face challenges such as declining enrollments, misalignment with local market needs, and limited resources for curriculum adaptation. These obstacles threaten the ability of community colleges to prepare students for the rapidly changing workforce. This study examines how workforce development administrators collaborate with local industry partners to align programs with labor market demands, ensuring community colleges remain relevant and adaptable. Grounded in Human Capital Theory, which links education and economic growth, this qualitative study focuses on …


A Systems Theory-Based Framework For Uncertainty In Complex System Governance, Teresa Anne Crater Oct 2024

A Systems Theory-Based Framework For Uncertainty In Complex System Governance, Teresa Anne Crater

Engineering Management & Systems Engineering Theses & Dissertations

Complex systems are all around. A complex system is a system whose collective behavior is more than the behavior exhibited by the individual parts. Such a system is characterized by an exponential increase in information, complexity, ambiguity, emergence, and high levels of uncertainty (Jaradat, 2015). Uncertainty is intrinsic to complex systems. Uncertainty refers to epistemic situations involving imperfect or unknown information. Uncertainty can refer to the chance of certain anticipated outcomes occurring, or it can refer to the unknown events that are not foreseeable as to when or if one might occur. It applies to predictions of future events, to …


Accelerating The Efficiency Of Multiscale Hybridizable Discontinuos Galerkin Methods For Flows In Heterogeneous Media, Tony Charles Haines Jul 2024

Accelerating The Efficiency Of Multiscale Hybridizable Discontinuos Galerkin Methods For Flows In Heterogeneous Media, Tony Charles Haines

Mathematics & Statistics Theses & Dissertations

A plethora of scientific and engineering problems encountered are multiscale in nature. This multiscale feature often influences simulation efforts wherever large disparities in spatial scales are experienced. Notable examples include composite materials, fluid flow through porous media and turbulent transport in high Reynolds number flow. Although there are promising results from the advancement of modern supercomputer, obtaining direct numerical solution of multiscale problems is very laborious. This difficulty stems from the tremendous amount of computer memory and CPU time required. Parallel computing may be one obvious choice in remedying this issue. However, the complexity and size of the discrete problem …


Leveraging Blockchain For Trust Enhancement In Decentralized Marketplaces: A Reputation System Perspective, Meshari Mohammd Aljohani Jul 2024

Leveraging Blockchain For Trust Enhancement In Decentralized Marketplaces: A Reputation System Perspective, Meshari Mohammd Aljohani

Computer Science Theses & Dissertations

Centralized marketplaces provide reliable reputation services through a central authority, but this raises concerns about single points of failure, user privacy, and data security. Decentralized marketplaces have emerged to address these issues by enhancing user privacy and transparency and eliminating single points of failure. However, decentralized marketplaces face the challenge of maintaining user trust without a centralized authority. Current blockchain-based marketplaces rely on subjective buyer feedback. Additionally, the transparency in these systems can deter honest reviews due to fear of seller retaliation. To address these issues, we propose a trust and reputation system using blockchain and smart contracts. Our system …