Engineering Commons^™

Post-Fire Hydrologic Analysis: A Tale Of Two Severities, Kendra Fallon, Shawn J. Wheelock, Mojtaba Sadegh, Jennifer L. Pierce, James P. Mcnamara, Megan Cattau, Victor R. Baker

Civil Engineering Faculty Publications and Presentations

Addressing post-fire impacts largely depends on burn “severity.” A singular severity classification that encompasses the holistic effects of fire on all ecosystem processes does not currently exist. Lumping vegetation burn severity and soil burn severity into one metric, or using them interchangeably, can induce large inaccuracies and uncertainties in the intended ecosystem response to forcing. Often, burn “severity” reflects fire impacts on vegetation, which can be measured through remote sensing. Vegetation burn severity is likely more apropos for ecological research, whereas soil burn severity is more relevant for hydrological analyses. This paper reviews different remotely sensed vegetation severity products currently …

3d Flow Field Quantification In An Artery Model Using Optical Flow Method Based On Simulated Multi-Angle Angiography, Zifeng Yang, Hang Yi, Luke Bramlage, Bryan Ludwig

Mechanical and Materials Engineering Faculty Publications

3D flow field in a numerically simulated arterial model is quantified using the three-dimensional optical flow method based on simulated simultaneous multi-angle X-ray angiography of the blood flow with contrast agent perfusions.

A Pade-Eno Flux Reconstruction For High-Speed Flows, Blake Martin

Browse all Theses and Dissertations

The development of high order numerical schemes has been instrumental in advancing computational fluid dynamics (CFD), particularly for applications requiring high resolution of discontinuities and complex flow phenomena prevalent in high-speed flows. This thesis introduces the Pade-ENO scheme, a high-order method that integrates Essentially Non-Oscillatory (ENO) techniques with compact Pade stencils to achieve superior accuracy, up to 7th order, while maintaining stability in harsh environments. The scheme’s performance is evaluated through benchmark tests, including the advection equation, Burgers’ equation, and the Euler equations. For high Mach number flows, such as the sod shock tube the Pade-ENO method demonstrates its ability …

Advanced Digital Wideband Receiver Design: High Dynamic Range And Enhanced Multi-Signal Detection With Fpga-Based Custom Fft And Nyquist Folding, Kiran Jayarama

Browse all Theses and Dissertations

In modern wideband receiver standards, efficient frequency spectrum utilization is essential to meet demands for high data rates, reduced latency, and enhanced connectivity. The Fast Fourier Transform (FFT) stands as a pivotal technology, particularly in radar signal processing, where it supports tasks such as target detection, range estimation, and velocity estimation by analyzing the frequency content of the received radar signals. This dissertation introduces the design of an advanced digital wideband receiver featuring a high dynamic range for multiple signals, with a focus on improved performance, compact size, and reduced power consumption, implemented on an FPGA using custom hardware. Key …

Fabricating And Analyzing Liquid And Polymer Electrolytes For Sodium Ion Batteries, Kekule Augustine

Browse all Theses and Dissertations

The abundance and the cost-effectiveness of sodium resources have made sodium-ion batteries (SIBs) viable alternatives to lithium-ion batteries. Developing low-cost and high-performance electrolytes is one of the key areas for the advancement of SIB technology. The highly conductive liquid or solid electrolytes have the potential for practical sodium-ion battery applications. Long-term stability, alternative polymers, and full-cell integrations are other avenues that need further research to improve scalability and performance for SIBs. This research covers preparing and evaluating liquid and polymer electrolytes, with a focus on ionic conductivities. Liquid electrolytes were prepared by the dissolution of different sodium salts including NaCl, …

Strategies To Mitigate Efflorescence In Walls Constructed Using Clays Bricks; A Review Article, Marwa Abdulkareem. Anber, Soran Abdulrahman Ahmad, Naros Rahman Mahmoud, Kawan Fuoad. Kayani, Mohammed Ali Abdulrehman

Al-Esraa University College Journal for Engineering Sciences

_{The construction of buildings, especially residential housing for communities, is a significant industry on a global scale. Masonry units such as bricks, blocks, and stones are often utilized materials. Bricks are highly regarded because to their widespread availability, cost-effectiveness, and excellent insulating capabilities. Nevertheless, the presence of efflorescence presents a difficulty in the construction of brick walls. Efflorescence refers to the process in which salts move to the outer layer of the brick, resulting in the formation of white deposits and negatively impacting its visual appeal. Efflorescence is caused by various circumstances, such as the existence of salts in bricks, …}

An Algorithm Based On Priority Rules For Solving A Multi-Drone Routing Problem In Hazardous Waste Collection, Youssef Harrath Dr., Jihene Kaabi Dr.

Research & Publications

This research investigates the problem of assigning pre-scheduled trips to multiple drones to collect hazardous waste from different sites in the minimum time. Each drone is subject to essential restrictions: maximum flying capacity and recharge operation. The goal is to assign the trips to the drones so that the waste is collected in the minimum time. This is done if the total flying time is equally distributed among the drones. An algorithm was developed to solve the problem. The algorithm is based on two main ideas: sort the trips according to a given priority rule and assign the current trip …

Biom 2720: Experimental Design And Analysis For Biomedical Engineering (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Description: Application of probability, statistics, error analysis, uncertainty in design and performance of biomedical engineering experimentation; discussion and evaluation of common experimental designs for medical device development.

Biom 4720/6720: Bioelectricity (Syllabus), Amy Curry

Biomedical Engineering Syllabi Archive

Course Description: Bioelectricity, including calculations of potential fields resulting from cardiac or neural electrogeneration; treatment of how heart and nerves generate and propagate electrical signals.

The Importance Of Cryptography In Cloud Computing, Saja Alaam Talib

Al-Esraa University College Journal for Engineering Sciences

Cloud computing has grown as a widely accepted concept simultaneously, as the alarms for the security of data and information. This paper seeks to establish the comprehensive roles of cryptography in tackling these issues in the Cloud environment. The study begins with the historical background of cryptography and then moves on to analyze trends in information technology before discussing on the challenges to security in cloud computing. The goal of its publication is to highlight the importance of using cryptographic technologies for the protection of information confidentiality, its integrity and compliance. The combination of literature review and the case study …

Considering A Unified Model Of Artificial Intelligence Enhanced Social Work: A Systematic Review, Michael Garkish, Lauri Goldkind

Social Service Faculty Publications

Social work, as a human rights–based profession, is globally recognized as a profession committed to enhancing human well-being and helping meet the basic needs of all people, with a particular focus on those who are marginalized vulner- able, oppressed, or living in poverty. Artificial intelligence (AI), a sub-discipline of computer science, focuses on develop- ing computers with decision-making capacity. The impacts of these two disciplines on each other and the ecosystems that social work is most concerned with have considerable unrealized potential. This systematic review aims to map the research landscape of social work AI scholarship. The authors analyzed the …

Investigating Emerging Technologies In Civil Structural Health Monitoring: Generative Artificial Intelligence And Virtual Reality, Furkan Luleci

Graduate Thesis and Dissertation 2023-2024

Condition assessment of civil engineering infrastructure systems is of growing importance as they face aging and degradation due to both human-made activities and environmental factors. Nevertheless, challenges persist in data collection, leading to "data scarcity", and the need for frequent site visits in inspections, presenting significant obstacles in the assessment of the civil infrastructure systems. This dissertation aims to overcome these challenges by exploring the potential of two emerging technologies: Generative Artificial Intelligence (AI) and Virtual Reality (VR). In tackling the issue of data scarcity, the research question revolves around how Generative AI can be utilized to mitigate data collection-related …

Privacy And Security Of The Windows Registry, Edward L. Amoruso

Graduate Thesis and Dissertation 2023-2024

The Windows registry serves as a valuable resource for both digital forensics experts and security researchers. This information is invaluable for reconstructing a user's activity timeline, aiding forensic investigations, and revealing other sensitive information. Furthermore, this data abundance in the Windows registry can be effortlessly tapped into and compiled to form a comprehensive digital profile of the user. Within this dissertation, we've developed specialized applications to streamline the retrieval and presentation of user activities, culminating in the creation of their digital profile. The first application, named "SeeShells," using the Windows registry shellbags, offers investigators an accessible tool for scrutinizing and …

Undergraduate Research On 5g Propagation Analysis In Naval Ship Environment, Otilia Popescu, Dimitrie Popescu, Murat Kuzlu

Engineering Management & Systems Engineering Faculty Publications

Wireless communication systems have experienced rapid advancements over the last decade, with 5G systems becoming the regular standards and 6G systems being under development. However, the naval ship environment still requires more study due to the special indoor characteristics of the spaces below the deck, where the metal structures strongly impact the propagation characteristics, being prone to signal degradation, dead spots, and unreliable connectivity. This paper presents the research work conducted by a team of undergraduate students from Electrical and Computer Engineering (ECE) and Electrical Engineering Technology (EET) majors. The work was a partnership between Old Dominion University engineering programs …

Analytical Modeling Of Partially-Filled Tm010-Mode Dielectric Resonator For Accurate Dk And Df Extraction, Mehdi Mousavi, Chaofeng Li, Reza Asadi, Seyedmostafa Mousavi, Reza Vahdani, Xiaoning Ye, Mina Esmaeelpour, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

In high-speed printed circuit board (PCB) modeling, the accurate determination of the dielectric constant (DK) and dissipation factor (DF) is crucial for signal integrity analysis at design stage. This paper introduces an analytical approach using a partially filled TM010-mode dielectric resonator, an effective tool for DK and DF extraction of PCB material. We begin by discussing the theoretical underpinnings of TM₀₁₀-mode dielectric resonators and their applicability in measuring the DK and DF of the material under test. A mathematical model is then presented, linking the resonant characteristics directly to the DK and DF of the dielectric material. The …

Termite Gut Microbe (Tav5) Application To Pulp & Paper Wastewater And Sugarcane Bagasse: Enhancing Lignin Degradation And Methane Generation During Anaerobic Digestion, Doreen Ntiamoah-Asare, Melanie Sattler Ph.D, P.E.

Civil Engineering Dissertations - Archive

TAV5 is a bacterium strain of the family Opitutaceae from Termite-Associated Verrucomicrobium isolated from the hindgut of Reticulitermes Flavipes, the most common subterranean termite in North America. The genome of TAV5 contains genes coding for enzymes that could structurally modify lignin.

Pulp & paper wastewater and Sugarcane bagasse contain high levels of cellulose (44-46%) and hemicellulose (27-32% ), as well as lignin (17-23%) which is recalcitrant to biodegradation. The lignin tend to shield the cellulose and hemicellulose making them inaccessible for biodegradation.

TAV5 can breakdown lignin, making the cellulose and hemicellulose accessible to microorganisms for biodegradation into methane generation for …

Development Of A Real-Time Warning System For Bridge Icing Using Time Domain Reflectometry, Taryn Dilorenzo

Civil Engineering Dissertations - Archive

Treacherous driving conditions are a safety concern during the winter season where icing on roadways and bridges is of particular concern. The use of sensors to detect the presence or potential of surface ice formation is essential for efficient and effective winter road maintenance. However, there is a lack of ice detection systems that combine robust sensors, active warning signs and an ice detection algorithm that is reliable and economical. This study presents an innovative sensor that uses dielectric sensing to detect the onset of ice formation on a bridge deck. The sensor combines an automatic algorithm for ice detection …

Streamlining Public Engagement In Transportation Projects Using Text Analytics, Alireza Shamshiri

Civil Engineering Dissertations - Archive

Infrastructure projects impact a broad range of stakeholders, particularly local communities, whose engagement is critical for successful outcomes. Despite the importance of public engagement in these projects, traditional methods of capturing and analyzing public opinion often fail to fully represent the diverse, genuine perspectives involved. This has led to conflicts between community members and project sponsors. On the other hand, despite advancements in text analytics, including natural language processing (NLP) and its subfields such as topic modeling, sentiment analysis, and neural networks, their functionalities and effectiveness in analyzing public opinion in the domain of infrastructure projects have not been fully …

Roles Of Vegetation On Soil Moisture Dynamics In Transitional Climates- Lessons From Improving Phenology Representation In Land Surface Model And Retrieval Algorithm, Farhad Hassani

Civil Engineering Dissertations - Archive

Soil moisture is a critical component of the terrestrial water and energy cycles, influencing key hydrological and atmospheric processes such as infiltration, runoff generation, evapotranspiration, and atmospheric boundary layer dynamics. Accurate representation of soil moisture is essential for reliable hydrological modeling, drought monitoring, and seasonal to sub-seasonal (S2S) weather forecasting. Vegetation significantly affects soil moisture dynamics through processes like transpiration, canopy interception, and root water uptake, especially in transitional climates where conditions fluctuate between arid and humid states. However, errors in vegetation phenology representation can lead to substantial biases in soil moisture estimates within land surface models (LSMs) and satellite …

Development And Application Of Teems (Telecommuting Expectation Models): Predicting Post-Pandemic Telecommuting Choice And Frequency Using Machine Learning Models, Aiswarya Acharath Mohanakrishnan

Civil Engineering Dissertations - Archive

Telecommuting, increasingly prevalent in today's workforce, has gained significant momentum amid the pandemic-induced shift towards remote work. It altered the travel behavior of workers and their travel patterns. This evolution prompts a reevaluation of worker travel behavior, necessitating adjustments in travel demand modeling to optimize transportation planning and service provision. Using the commuter’s data from a typical pre-pandemic workday to model the travel demand of weeks or years in the future is outdated. In designing transportation systems for the future, Metropolitan Planning Organizations (MPOs) will thus need to account for change in work trips due to telecommuting, and how this …

Moisture And Glass Transition Temperature Kinetics From Long Term Hygrothermal Aging Of Carbon/Epoxy Composites, Behnaz Hassanpour

Civil Engineering Dissertations - Archive

The durability of fiber reinforced polymer composites used in civil infrastructure rehabilitation has become increasingly critical, especially under long-term hygrothermal aging conditions. This study focuses on the results of long-term (up to 6 years) hygrothermal aging of wet layup carbon/epoxy composites and investigates the effects of moisture, as well as accelerated aging at elevated temperatures with varying thicknesses and fabric areal weights. The primary objective is to establish a comprehensive understanding of moisture uptake kinetics and its subsequent effects on the glass transition temperature (T_g), mechanical performance, and the resulting implications for material durability. Four papers form …

The Effects Of Ai Image Synthesis On Graphic Design, Ji Ren

MA Theses

From 1763 when Thomas Bayes developed a framework to infer event probabilities, to the end of 2022 when the world-renowned AI research laboratory Open AI launched Chat GPT, a language model based on AI technology, statistical computing-based AI has revolutionized human life. AI image synthesis can simulate the processes and methods of human painting through machine learning, deep learning, and other methods, thereby generating high-fidelity images. There is growing concern about how AI image synthesis will affect the art world as it advances. The art market could be reimagined, authorship and creativity concepts challenged, and traditional artistic practices disrupted by …

Responsive District Heating For A Sustainable Power Grid, Robin Zou, Sarah Robson, Denise A. Mckahn, Judith Cardell

Engineering: Faculty Publications

The electrification of energy use for building heating-cooling and transportation sectors increases stress on an already strained electric power grid. Shifting energy end-use to electricity presupposes that electricity generation is relatively clean in terms of greenhouse gas (GHG) emissions. With the legacy power system and significant operational constraints on the power grid though, the majority of electricity generation is now, and will continue for many years, to be predominantly powered from fossil fuel combustion. The continuing need to decrease carbon and other GHGs raises the need to find clean energy sources outside of the electric power grid.

One clean energy …

A Metaverse Of Chinese Traditional Folk Villages And Houses With Great Aesthetic Pleasure: A Virtual World Dedicated To The Enthusiasts Of Life With Art, Culture, History And Architectures, Xiaobin Lin

MA Projects

Rapid growth of 3D visualisation technology has led to the maturation of metaverse, bringing innovative and immersive experiences to travellers and representing tremendous potential for revolutionising the tourism industry. Advantages of metaverse, plummeting cost of technology and emerging supportive policies are jointly building up a very promising future of metaverse in tourism. Big companies worldwide are heavily investing in metaverse. In China, Tencent SSV Digital Culture Lab has initiated the annual project “Explore Metaverse Plan”, providing a communication platform and exhibition opportunity for the small and midsize players working on the digitalisation of cultural and artistic heritage. Google Art & …

Advancing Natural Hydrogen Exploration: Headspace Gas Analysis In Water-Logged Environments, Krista Davies, Lionel Esteban, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Natural hydrogen has gained prominence as a potential contributor to the low-carbon energy landscape; however, exploration techniques are still evolving. Current methods primarily rely on dry soil gas studies or gas vent measurements. Because gas vents are scarce and groundwater inhibits hydrogen gas flux from the soil, other field detection techniques are necessary. This research paper presents a novel approach for advancing natural hydrogen exploration through the analysis of headspace gas of agitated groundwater extracted from dedicated shallow boreholes to better estimate the hydrogen gas flux and its variations with time. Several shallow boreholes were drilled in Western Australia on …

Environmental Sustainability, Healthcare Workers And Healthcare Students: A Literature Review Of Attitudes And Learning Approaches, Pamela R. Mccauley, Kavita Mathur, Reza Kamali Miab, Nina Cohen, Kedena Henriques-Thompson, Jyo Gopinath

Health Professions Education

Purpose: Today, increased attention has been placed on the healthcare industry and its workers in the wake of the global COVID-19 pandemic. Increases in facemask production, personal protective equipment, and the number of patients admitted into hospitals have resulted in a sharp rise in medical waste and environmental concerns. This has led to a greater interest by the research community to study the type of training and education that healthcare workers and students receive which could facilitate the implementation of sustainability activities during their work.

Design/Methodology: We have conducted a literature review (2010 to 2024) on healthcare worker …

Silence Is Not Golden: Exploring The Trade-Offs Between Transparency And Burden In Dirs Reporting, Katie Nelson

Murray State Theses and Dissertations

This study explores the United States federal government's Disaster Information Reporting System (DIRS), which is an instrument that is used during emergencies to gather information on what five communication avenues are not actively working at the time of the emergency or during the recovery process. The synthesis provides a framework for characteristics that cite the necessities for this study on DIRS. Examining DIRS will help us understand its strengths, limitations, and potential improvements. Evaluating the details of historical and global research on emergency communications are gathered. The analysis provides insights into DIRS's past, present, and future. Bring to light future …

Frequency Division Multiplexing And Random Phasing For Improved Uniformity In Microwave Heating Applications, Logan M. Wilcox, Ali Mirala, Mohammad Tayeb Al Qaseer, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave heating has been recently used as an active thermal excitation method in thermography. Within the nondestructive testing and evaluation (NDT&E) realm, this method is referred to as active microwave thermography, or AMT. In AMT, unlike other thermal excitation methods utilized in thermography, microwave heating inherently provides a nonuniform heating pattern. This is a direct result of the radiating antenna used to deliver the energy. This nonuniform pattern may result in defect detection errors (i.e., false positives and/or negatives). To reduce this potential for detection error and improve the overall robustness of the technique, a new electromagnetic system, consisting of …

Additively Manufactured Aperture-Based Fss, Alexander Hook, Doyle T. Motes, Cody Morrow, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Frequency selective surfaces (FSSs) are arrays of patch- or aperture-based elements with specific high frequency reflective and/or transmissive properties. The specific FSS response of a given design is dictated by the element dimensions and spacing relative to adjacent elements (collectively referred to as the unit cell), along with the substrate (and superstrate if applicable) properties. As it relates to sensing, the FSS response may be affected by environmental (e.g., temperature) or structural (e.g., strain) changes. To this end, FSS-based sensors have been considered in recent years for a myriad of sensing applications including structural health monitoring (SHM). Concurrent to this, …

Empowering Urban Traffic Management: Elevated 3d Lidar For Data Collection And Advanced Object Detection Analysis, Nawfal Guefrachi, Hakim Ghazzai, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The 3D object detection capabilities in urban environments have been enormously improved by recent developments in Light Detection and Range (LiDAR) technology. This paper presents a novel framework that transforms the detection and analysis of 3D objects in traffic scenarios by utilizing the power of elevated LiDAR sensors. We are presenting our methodology's remarkable capacity to collect complex 3D point cloud data, which allows us to accurately and in detail capture the dynamics of urban traffic. Due to the limitation in obtaining real-world traffic datasets, we utilize the simulator to generate 3D point cloud for specific scenarios. To support our …