Engineering Commons^™

Path Planning And Cyber-Physical System Integration In Unmanned Aerial Vehicles For Wireless Communication, Mohamad Hani Sulieman

Dissertations - ALL

Unmanned Aerial Vehicles (UAVs) have become indispensable in a variety of fields, including surveillance, emergency response, packet delivery, and data collection for the Internet of Things (IoT). These systems are also critical in enhancing connectivity within cellular networks. This dissertation focuses on improving UAV operational efficiency and security by advancing trajectory optimization techniques, enhancing trajectory design through antenna radiation patterns, and increasing resilience against cyber-physical attacks, particularly GPS sensor faults. The first part of the study addresses UAV trajectory optimization in wireless communications, highlighting the significance of trajectory planning in improving the efficiency and reliability of UAV operations. Effective trajectory …

Investigation Of Hydropathy Of Proteins, Lipid-Modified Proteins, And Self-Defensive Biomaterials, Jingjing Ji

Dissertations - ALL

Molecular dynamics (MD) simulations serve as crucial tools for unraveling the underlying physical principles governing the structure and functionality of biological macromolecules. Experimental techniques provide valuable results, but sometimes it is quite difficult to explain phenomena at atomic and molecular levels. MD simulations investigate physical motion of atoms and molecules over microsecond time scale and compute the equilibrium properties. In this work, I investigated the hydropathy of proteins, lipid-modified proteins, and self-defensive biomaterials with atomistic MD simulations and coarse-grained (CG) MD simulations. The method, Protocol for Assigning a Residue's Character on a Hydropathy (PARCH) scale, is developed to characterize and …

Engineering The Signal Resolution Of A Paper-Based Cell-Free Glutamine Biosensor With Genetic Engineering, Metabolic Engineering, And Process Optimization, Tyler J. Free, Joseph P. Talley, Chad D. Hyer, Catherine J. Millar, Joel S. Griffitts, Bradley Charles Bundy

Faculty Publications

Specialized cancer treatments have the potential to exploit glutamine dependence to increase patient survival rates. Glutamine diagnostics capable of tracking a patient’s response to treatment would enable a personalized treatment dosage to optimize the tradeoff between treatment success and dangerous side effects. Current clinical glutamine testing requires sophisticated and expensive lab-based tests, which are not broadly available on a frequent, individualized basis. To address the need for a low-cost, portable glutamine diagnostic, this work engineers a cell-free glutamine biosensor to overcome assay background and signal-to-noise limitations evident in previously reported studies. The findings from this work culminate in the development …

Recovery Of Cyber Manufacturing Systems From False Data Injection Attacks On Sensors By Reinforcement Learning, Romesh Prasad

Dissertations - ALL

Cyber-manufacturing systems (CMS) represent the future design vision for manufacturing systems, aiming to enhance product quality, and productivity, and reduce downtime. The third industrial revolution was driven by computer systems and automation, while the fourth industrial revolution was inspired by the internet, network, and connectivity. However, this integration also introduces vulnerabilities, particularly through false data injection attacks on sensors. Sensors play a pivotal role in the automation framework of manufacturing systems spanning five levels: process, operational, supervisory, plant, and enterprise. Sensors are instrumental in communicating information from the process level to the enterprise level. It also enables controllers at the …

Urban Scale Vehicle-To-Building-To-Grid Integration Leveraging Human Mobility Modeling, Yapan Liu

Dissertations - ALL

In the United States (U.S.), the buildings sector consumes about 76% of electricity use and 40% of all primary energy use and associated greenhouse gas emissions. Occupant behavior, which includes the presence of people in the space, interactions between the occupant and building systems, and occupant adaptations to the built environment, has a significant impact on the energy consumption of buildings. Many researchers have investigated occupant behaviors at a single building scale, however, very few studies have been conducted at the community scale or urban scale. Our previous review study introduced human mobility modeling approach from other domains into the …

Optimizing Flash Flood Prediction In Arid And Semi-Arid Regions: A Comparative Evaluation Of Infiltration Models And Parameter Estimation Guidance Across Spatial Scales, Sara Rassa

Civil Engineering ETDs

This study improves flash flood prediction by analyzing the vital role of infiltration models in hydrologic modeling, especially for areas with scarce data. It offers new parameter estimation guidance for three infiltration models—initial-constant (IC), linear-constant (LC), and Green-Ampt (GA)—based on plot-scale rainfall simulations. The research emphasizes the impact of soil texture, moisture, and crust on model parameters. A comparative analysis of four models (curve-number, IC, GA, and LC) using data from Arizona's Walnut Gulch Experimental Watershed under different calibration scenarios shows the GA model's superiority in certain conditions, though it faces issues of equifinality in unconstrained calibrations. Meanwhile, the simpler …

Flexural Investigation And Retrofit Of Aashto Type Iii Prestressed Girder-Deck System With Strand Bond Damage, Haoran Ni

Dissertations - ALL

Prestressed concrete (PC) bridge girders play an important role in highway bridges because of their embedded prestressing strands and low cost. They can provide adequate flexural strength depending on the integrity of the concrete-strand bond. However, highway bridges near industrial facilities are often subjected to heavy trucks. Under frequent overloads, the large deflections of bridge girders may induce deterioration of the bond between the strands and concrete at critical sections during bending, resulting in debonding of the strands in the most critical section region, over the span length. This study describes an in-depth analysis of the flexural strength of a …

Multi-Scale Analysis Of The Structure-Mechanics Relationship Of Mycelium-Based Bio-Composites, Libin Yang

Dissertations - ALL

The construction industry faces significant challenges due to the environmental impact of traditional materials like steel and concrete, whose production is energy-intensive and contributes to environmental pollution. This issue is exacerbated by the growing global demand for construction materials, driven by an increasing population. Concurrently, the agricultural and wood industrial sectors produce vast byproducts, such as straw, husk, coir, sawdust, and wood chips. They are often considered as wastes and disposed of through methods like burning. Such a reckless treatment releases greenhouse gases that further lead to environmental degradation. Mycelium, the vegetative part of fungi, presents a natural, promising solution …

Fate, Composition And Formation Of Unknown N-Nitrosamines In Wastewater And Wastewater-Impacted Waters, Changcheng Pu

Dissertations - ALL

N-Nitrosamines form as byproducts during oxidative water treatment or occur as impurities in consumer and industrial products. N-Nitrosamines and their precursors pose significant concerns for water utilities exploiting wastewater-impacted water supplies, as many N-nitrosamines are potential human carcinogens and have genotoxicity. To date, research on N-nitrosamines in environmental engineering has primarily focused on the occurrence, sources, formation, and control of N-nitrosodimethylamine (NDMA) in the broad context of drinking water and wastewater treatment. However, NDMA and the few other N-nitrosamines of current interest only constitute a fraction of the larger pool of total N-nitrosamines (TONO) in source waters and wastewater, while …

Past And Future Predictions Of Climate Change And Urbanization Effects On The Carbon, Nitrogen, And Water Dynamics In Northeastern Forest Ecosystems, Linghui Meng

Dissertations - ALL

Human activities have significantly influenced the structure and function of forest ecosystems in the northeastern US. Urbanization directly reduces forest area and alters forest functions. Forest growth, health, and function can also be affected by climate change, atmospheric carbon dioxide (CO2) concentrations, and air pollution including ground-level ozone (O3) and atmospheric nitrogen (N) deposition. Critical questions for research and environmental management are: How will urbanization, climate change, and air pollution interact to influence the function of forest ecosystems, and how will changes in these environmental drivers alter the function of forests in the future? In this dissertation, I simulate the …

Homomeric Tight Junction Strand Assembly Of Claudin Proteins, Patrick Matthew Marsch

Dissertations - ALL

Tight junctions, a form of cell junction, are utilized throughout the animal kingdom in one way or another. Tasked with facilitating a critical blockade between toxins and vital tissues while also allowing small crucial molecules to pass, the tight junction provides an important line of defense against disease. To build this barrier, various proteins with self-assemble within a cell membrane to then zipper with another cell membrane. The strand-like architecture and size & charge selective pore channels created within the barrier are chiefly governed by the claudin family of proteins. Without claudins present, the tight junction cannot form, and toxic …

Synthesis And Design Of High-Silica Pd-Containing Zeolites For The Catalytic Combustion Of Methane, Jingzhi Liu

Dissertations - ALL

Greenhouse gases, notably carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), are principal contributors to global warming, leading to an incremental rise in Earth's atmospheric temperature. The escalation of these gases, primarily from fossil fuel combustion, deforestation, and industrial processes, enhances the radiative forcing mechanism, thereby trapping excessive solar heat within the atmosphere. Scientific inquiries into the spectral absorption properties and life span of these gases emphasize their varying impacts on Earth's thermal equilibrium. For instance, CO2, with its extensive atmospheric residency, brings a prolonged thermal influence, whereas CH4, while being the cleanest burning fossil fuel that generates far …

A Trustzone-Based Framework To Secure Mobile Financial Transactions And Provide End-To-End Protection For Qr-Code Payments And Credit Card Information, Ammar Salman Salman

Dissertations - ALL

In this work we have developed multiple solutions for financial transactions that can be coordinated to provide high level of security and data integrity, while providing all services with minimum changes in infrastructures, and maximum flexibility. The solutions are novel in many aspects and the generalization is a clear feature. The TrustZone hardware is an important component to ensure high security and protection. The system can function smoothly on any type of operating systems and works with any platform of services in the market. The tested case study is built on the Android system and the ARM TrustZone hardware. This …

Insight Into The Application Of Engineered Phenol Polymer Nanocomposites For Geothermal Well Applications To Modify Fracture Permeability, Fatemeh Hamidi

Civil Engineering ETDs

In enhanced geothermal systems, the efficient transfer of heat from the formation to the fluid circulating through the fracture network can be compromised when thermal short-circuiting occurs due to preferential flow through highly conductive fractures. This study introduces a pioneering approach using newly developed phenol polymer nanocomposites as an engineering solution to address the challenges associated with preferential flow in geothermal wells, which can lead to thermal short-circuiting. Multiple phenol polymer nanocomposites were formulated, incorporating aluminum oxide, COOH-functionalized graphitized multi-walled carbon nanotubes (MWCNTs), and graphene nanoparticles, each with a 0.5 wt.% polymer dosage. This research successfully modified the crosslinking process …

Spectral Characterization Of High-Speed Sers Fluctuations, Makayla Schmidt, Emily A. Farley, Marit A. Engevik, Alexandre G. Brolo, Nathan Lemke, Nathan Lindquist

Science Symposium

The concept of plasmonic “hotspots” is central to the broad field of nanophotonics. In surface-enhanced Raman scattering (SERS), hotspots can increase Raman scattering efficiency by orders of magnitude. Hotspot dimensions may range from a few nanometers down to the atomic scale and are able to generate SERS signals from single molecules. However, these single-molecule SERS signals often show significant fluctuations, and the concept of intense, localized, yet static hotspots has come into question. Recent experiments have shown these SERS intensity fluctuations (SIFs) to occur over an extremely wide range of timescales, from seconds to micro-seconds, due to the various physical …

Effect Of Recommending Users And Opinions On The Network Connectivity And Idea Generation Process, Sriniwas Pandey, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

The growing reliance on online services underscores the crucial role of recommendation systems, especially on social media platforms seeking increased user engagement. This study investigates how recommendation systems influence the impact of personal behavioral traits on social network dynamics. It explores the interplay between homophily, users’ openness to novel ideas, and recommendation-driven exposure to new opinions. Additionally, the research examines the impact of recommendation systems on the diversity of newly generated ideas, shedding light on the challenges and opportunities in designing effective systems that balance the exploration of new ideas with the risk of reinforcing biases or filtering valuable, unconventional …

Discrete Element Method Investigation Of The Dynamic And Seismic Response Of Embedded Geotechnical Systems, Ahmed Khamiss, Usama El Shamy

Civil and Environmental Engineering Theses and Dissertations

This study examines the seismic response of various embedded geotechnical systems utilizing the discrete element method (DEM). Embedded geotechnical systems play a crucial role in enhancing the stability and resilience of various structures as they provide solid foundations for infrastructural elements such as buildings, bridges, and transportation networks. The behavior of various embedded systems such as tunnels, pier foundations, and wind turbine foundations is investigated when subjected to seismic loading. In the first study, the seismic response of tunnels constructed in a deposit of granular soil of depth greater than 20 m is examined. Three-dimensional discrete element method simulations were …

Beyond The Horizon: Exploring Anomaly Detection Potentials With Federated Learning And Hybrid Transformers In Spacecraft Telemetry, Juan Rodriguez

Computer Science and Engineering Theses and Dissertations

Telemetry sensors play a crucial role in spacecraft operations, providing essential data on efficiency, sustainability, and safety. However, identifying irregularities in telemetry data can be a time-consuming process that risks the success of missions. With the rise of CubeSats and smallsats, telemetry data has become more abundant, but concerns about privacy and scalability have resulted in untapped data potential. To address these issues, we propose a new approach to anomaly detection that utilizes machine learning models at data sources. These models solely transmit weights to a centralized server for aggregation, resulting in improved dataset performance with a single global model. …

Intelligent Resource Allocation For Sdn/Nfv-Enabled Networks Through Reinforcement Learning, Jing Su

Computer Science and Engineering Theses and Dissertations

Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two emerging paradigms that enable the feasible and scalable deployment of Virtual Network Functions (VNFs) in commercial-off-the-shelf (COTS) devices, which deliver a range of network services with reduced cost. The deployment of these services requires efficient resource allocation that fulfills the requirements in terms of Quality of Service (QoS) and Service-Level Agreement (SLA) while considering the constraints of the underlying infrastructure, such as maximum latency tolerance and affinity policies.

An optimized resource allocation result can benefit the network in various aspects, such as energy-saving, performance boost, and latency reduction. To achieve …

Stimuli-Responsive Glycopolymeric Nanoparticles To Boost Tumor Immunogenicity Through Macrophage-Targeted Therapy, Oluwaseyi Shofolawe-Bakare

Electronic Theses and Dissertations

Tumor-associated macrophages (TAMs) play a substantial role in sculpting the tumor microenvironment (TME) into an immunosuppressive bastion that undermines immune surveillance and enables tumor progression. They therefore represent a promising therapeutic target to make the TME more conducive for anti-tumor immunity and greatly improve treatment outcomes in cancers that are highly resistant to conventional forms of therapy. Several medications have been developed to modulate the activities of TAMs, showing tremendous potential, but these medications lack specificity for TAMs making their use susceptible to adverse side effects that could outweigh prospective benefits. Sophisticated delivery vehicles that can preferentially deliver these medications …

Development Of Hybrid Multi Criteria Decision Making Techniques For Efficient Cloud Service Selection, Obulaporam Gireesha

Theses and Dissertations

During the past few decades, cloud computing became a primary driver for the next generation of digital technology due to the increase in organizational performance and profitability based on a ‘pay-as-you-use’ fashion at anytime and anywhere across the globe. Cloud computing enables various enterprises to access pooled resources (like storage, network bandwidth, software applications, processing power, etc.) over the Internet with minimal Information Technology (IT) infrastructure and capital expenditure.

Indeed, the enormous popularity of cloud computing in both academia & industry over the decade has resulted in a wide range of similar cloud services offered by numerous service providers. Even …

Innovative Approaches And Challenges In The Demolition Of Large-Span Post-Tensioned Beams: Insights From A Case Study, Mohammad Jonaidi, Adam Kaplan, Ali Keyvanfar

Faculty Articles

Large-span, post-tensioned (PT) beams play a crucial role in maximizing the benefits of post-tensioning techniques. Bonded and unbonded systems are prevalent, with the latter being more widespread in the United States. While bonded systems are advantageous for creating long spans when multiple tendons are grouped in ducts, limited studies in the literature exist on their demolition. With a case study, this paper addresses the unique challenge of demolishing large-span-bonded, post-tensioned beams that occurs due to a building’s functional change. Emphasizing insights for engineers, it explores the use of cutting and dismantling methods, thereby considering the presence of prestressed cables. The …

Neuro-Symbolic Commonsense Reasoning With Resistance To Data Poisoning: A First-Order Logic And Sub-Symbolic Embeddings Framework, Bryce Shurts, King-Ip Lin

Computer Science and Engineering Theses and Dissertations

Commonsense reasoning has long presented a hurdle between conversational agents and their ability to naturally engage with humans in conversation, as the infinitely dimensional nature of a dialogue’s topics presents a significant reasoning challenge in the study of Natural Language Understanding (NLU). Such a system must conceivably be able to act as a generalizable system for evaluating and reasoning about commonsense statements, problems, and queries: in this way, the agent can attempt to quantify the reasonability of a given input. We attempt to address this through the integration of an explainable neuro-symbolic system that leverages Logical Tensor Networks (LTNs) and …

Effect Of Treated/Untreated Recycled Aggregate Concrete: Structural Behavior Of Rc Beams, Ayman Abdo, Ayman El-Zohairy, Yasser Alashker, Mohamed Abd El-Aziz Badran Mohamed

Faculty Publications

Using recycled concrete aggregates from construction and demolition wastes on structural concrete is a sustainable solution to reduce the consumption of natural resources and the detrimental effects of concrete production on the environment. This paper has collected much data from the literature to study fresh, mechanical properties and durability of concrete made of treated/untreated recycled aggregate (RA). Furthermore, the flexural and shear behavior of recycled aggregate concrete (RAC) beams was studied. This study discussed the distinctions and similarities between reinforced RAC beams and reinforced natural aggregate concrete (NAC) beams. The results of this review’s analysis clearly show that reinforced RAC …

Investigating The Effects Of Suspended Algal Content, Dissolved Oxygen, And Temperature On A High-Frequency Acoustic Attenuation System In A Controlled Laboratory Environment, Noah Watson

Honors Theses

The Single Frequency Acoustic Attenuation System (SFAAS) has been developed at the National Center for Physical Acoustics (NCPA). This system uses acoustic methods to monitor fine suspended sediment concentration in streams. Site-specific calibrations are necessary for this system, and previous research has indicated that algal concentration or dissolved oxygen concentration of water may affect collected data. Temperature, dissolved oxygen concentration, and fluorescence, used as a proxy for algal concentration, were monitored during this system’s use, and calibrations were derived to account for the effect of each of these variables on acoustic measurements. It has been shown that temperature has a …

The Mechanism By Which Thermal Coupling Leads To An Asymptotic Maldistribution Stability Boundary For Flow Boiling In Parallel Microchannels, Md Emadur Rahman, Justin A. Weibel

CTRC Research Publications

Phase change heat transfer processes are attractive for the efficient thermal management of advanced semiconductor devices, with flow boiling in parallel microchannel heat sinks being one promising solution. However, there are several implementation challenges associated with two-phase flow in parallel microchannels, particularly flow maldistribution, which can adversely affect performance and reliability. Two-phase flow models can be useful in predicting and understanding the instability mechanisms that leads to maldistribution, such that parametric performance trends and safe regions of operation can be identified. Channel-to-channel thermal coupling has been shown to alleviate maldistribution, but it is not yet understood why this effect is …

Design And Analysis Of Passive Correlator Radio-Frequency Identification Tagging, Albert Kilgore

McKelvey School of Engineering Graduate Student Theses & Dissertations

Radio Frequency Identification (RFID) is a technology used in many industries to locate and track assets. Passive RFID tags are popular because they are inexpensive and flexible, but they have limited accuracy. My thesis aims to improve the accuracy of passive RFID tags by investigating two solutions: (a) Using orthogonal RFID configuration and exploiting phase information available to an RFID reader, in addition to the received signal strength indicator (RSSI) metric; and (b) Designing a novel voltage multiplier-based correlator circuit that can be integrated directly onto the tag. To further reduce power consumption and silicon area, we propose an architecture …

An Attention Lstm U-Net Model For Drosophila Melanogaster Heart Tube Segmentation, Xiangping Ouyang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Machine learning is commonly used in biomedical image analysis, as it allows automated image segmentation and identification that minimizes the need for tedious human involvement. Drosophila melanogaster is often used as a cardiac disease model, where optical coherence microscopy (OCM) is used to image and analyze its beating dynamics. As OCM often generates a large volume of images, automated image segmentation is necessary to quantify the heart beating efficiently. Our most recent heart segmentation model, FlyNet 2.0+, is a fully convolutional LSTM U-Net model. However, the performance of the model diminishes in the presence of artifacts, such as image reflection …

Multi-Physics-Based Modeling Of Cracks In Asphalt Concrete, Md Amanul Hasan

Civil Engineering ETDs

Cracking is the most prevalent distress in an asphalt concrete (AC) pavement, and it leads to structural deterioration and premature failure, thereby costing taxpayers a lot of dollars. Accurately assessing AC's cracking performance is necessary for pavement longevity, yet current methods often fall short. For instance, relying solely on binder creep tests to determine low-temperature grade inadequately predicts the AC pavement's low-temperature cracking problem. Understanding AC's loading rate- and temperature-dependent fracture behavior is crucial for gaining insight into the crack propagation in AC. In the first part of this study, a new physics-based analytical methodology is developed utilizing the bending …

Evaluation Of Error Sources In Dynamic Multiple-Input Multiple-Output (Mimo) Tests, Odey Yousef

Civil Engineering ETDs

Dynamic testing of systems is used to characterize the relationship between inputs and outputs using frequency response functions (FRFs). Multiple input and multiple output (MIMO) techniques are crucial for realistic representation. In MIMO tests, environmental conditions are replicated by inverting the FRF matrix for input estimation. Steps include system identification, FRF inversion, input estimation, and input application. Each of these steps are nontrivial and require careful attention. Error sources manifest as error between desired and experimental outputs. Significant efforts to minimize this error exist, yet literature lacks a formal understanding of their origins. This research focuses on 3 of these …