Engineering Commons^™

Peripheral Vagus Nerve Stimulation (Pvns) Device For Epilepsy, Logan P. Beckstrand, Alexander P. Crary, Grace E. Heller

Biomedical Engineering

Our research team developed a PVNS for Epilepsy device which is intended to act as a preventative measure against seizures for patients with epilepsy. The device is a less invasive alternative to the VNS device on the market using electroacupuncture at the Shenmen and Xin points along the posterior pinna to stimulate the vagus nerve.

Sprinter Start Block Training Aid, Kayla Lovejoy, Kevin Almontes

Biomedical Engineering

Currently, track and field sprinters ranging from beginner level to world-class have no practical tool that provides quantitative feedback of value on quality of start and quality of the three distinct phases of their sprint race, such that they can quantify the value of their adjustments. Our team will create a device that integrates with the sprint starting block to provide quantifiable data on the quality of a sprinter’s start. This Statement of Work describes drawbacks of current solutions, existing patents, customer requirements, engineering specifications, and our project plan.

Maglock - Electromagnetic Pedal Aid For Amputees, Minh Vo, Matthew Chew

Biomedical Engineering

For this project, we aimed to design components that could easily be swapped out and into vehicles, which would help them accomplish the task of locating and securing a prosthetic foot to a bike and/or car pedal. A common problem among cyclists and drivers with prosthetic legs is their foot slipping off the pedal while in use; these components could be used for other common applications such as cars, bikes, etc. Stakeholders for this product included automotive companies and handicap product distributors. The focused objective is to provide dexterity and quick attach/detach support for cyclists and drivers with lower limb …

Smart Manufacturing Readiness Assessment - Analysis Of A Modern Tool From A Sociotechnical Perspective, Todd Lemon

All-Inclusive List of Electronic Theses and Dissertations

Smart Manufacturing has emerged out of the pervasive buzzwords in publications as a competitive strategy, characterized by the intensive use of digital information and technology throughout the production processes; shop-floor, people, and systems are married by the Internet creating services critical to manufacturing. The work completed and presented here extends the research in the area of Smart Manufacturing (SM) readiness to include a more comprehensive approach to production floor implementation. The overarching goal is to explore SM implementation in attempt to identify underlying latent factors that relate to preparedness from a joint social and technical perspective, striving for a model …

Investigation Of Innovative Heat Pipes / Fins System For Diesel Engine Cooling, Mohammad Shafiq Anees

Theses

Engine cooling is considered one of the most important factors that affect their efficiency and therefore their performance, so a new cooling method is proposed using both heat pipes and fins to improve the cooling efficiency of internal combustion engines and shall be examined theoretically and experimentally. A test rig has been designed and built using a specimen material with similar properties to the real engine materials with similar dimensions as the engine cylinder head / liner thickness. The experiment employed a specially designed testing apparatus that included a gas burner for consistent heating, a modifiable support structure, and an …

Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker

Theses and Dissertations

Fault injection is a common technique for estimating the impact of single-event upsets (SEUs) within the configuration memory (CRAM) of an FPGA design. Fault injection is typically conducted prior to a radiation test to evaluate the effectiveness of SEU mitigation techniques, estimate the FPGA design's behavior at the radiation test, and prepare the radiation test infrastructure. This thesis explores how fault injection can be used after radiation testing to reveal additional insight into an FPGA's behavior during a radiation test. A unique methodology, referred to as post-irradiation fault injection (PIRFI), was developed in which the locations and timestamps of CRAM …

A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham

Theses and Dissertations

The most accurate numerical model for simulating flood extents of rivers has long been a subject of debate. While specialized models exist for specific hydraulic features, we advocate for the principle that the best model is the one the user is familiar with, has adequate data to support input requirements and limitations, and will consistently employ. To support this approach, we have developed a database schema optimized to store riverine flood inundation model output files. This schema is designed to assist U.S. cities, counties, states, and other flood management agencies in leveraging their existing model-generated flood maps, regardless of the …

Two-Key Dependent Permutation (Tkdp) And Its Applications In Information Security, Arulmani K

Theses and Dissertations

Two-Key Dependent Permutation (TKDP) algorithm for generating permutation sequences of fixed sizes, TKDP based Symmetric Block Cipher (TKDPSBC) and TKDP Audio encryption are being proposed in this thesis. TKDP algorithm is capable of generating different sequences for different key pairs. This makes it suitable for constructing dynamic S-boxes and P-boxes that have more degree of randomness and non-linearity to resist cryptanalytic attacks. Rigorous statistical tests validate the efficacy of the generated permutation sequences, affirming their suitability for cryptographic applications in conjunction with Fiestel network-based block ciphers. TKDPSBC encrypts a plaintext block into a ciphertext block of the same size. TKDP …

Fatigue Behaviour Of Al 6063 Alloy In Heat Treated, Deep Cryogenic Treated And Equal Channel Angular Pressing (Ecap) Processed Conditions, Sreearravind M

Theses and Dissertations

This research focuses on improving the Low Cycle Fatigue (LCF) life of Al6063 using three different processing techniques – Heat Treatment (HT), Deep Cryogenic Treatment (DCT), and Equal Channel Angular Pressing (ECAP). Al 6063, widely used in structural applications, has limited fatigue performance, necessitating the exploration of advanced processing techniques to enhance its LCF life.

In HT phase, Al 6063 T5 samples were subjected to solid solution HT followed by air and water quenching. The air-quenched (T6A) and water-quenched (T6W) samples were subjected to precipitation hardening. The Ultimate Tensile Strength (UTS) of the T6A sample increased to 188 MPa from …

Numerical Analyses Of Construction Materials At Different Scales For Improved Resilience And Sustainability Of Civil Infrastructures, Chenchen Huang

Theses and Dissertations

The resilience and sustainability of civil infrastructure are fundamental to supporting modern society in the face of growing environmental challenges and resource limitations. This study aims to use multi-scale numerical tools to evaluate mechanical performance of different construction materials under various environmental and loading conditions. Firstly, we adopt the discrete element method (DEM) to evaluate the influence of freeze-thaw cycles (FTCs) action on the mechanical properties of rock from the micro perspective. A simplified plastic model is proposed to capture the residual deformation produced during FTCs. To further explore the deterioration of FTCs on rock, the water-contained grain-based model (GBM) …

A Comparative Mathematical Analysis Of Ice Modulation Measurement Techniques: Unifying Thermal Hysteresis, Freezing Point Depression, And Colligative Effects, Hayden Calvert Barry

Engineering Undergraduate Senior Theses

Thermal hysteresis (TH) measurement techniques for ice binding proteins (IBPs) have historically lacked standardization, making cross-study comparisons challenging and potentially impeding development of these materials for practical applications. This study provides a comprehensive comparison of three measurement techniques: differential scanning calorimetry (DSC), microlitre osmometry, and cryostage microscopy. Through systematic experimentation with Wild Type III Antifreeze Protein (AFP) at varying concentrations (10μM, 100μM, 1mM), along with cell lysate AFP and Pseudomonas syringe ice nucleating protein (INP), mathematical relationships were established between measurement techniques, and cryostage microscopy was identified as the most reproducible and reliable method. Regression analysis revealed strong relationships between …

Microfabrication Of Sic Using Femtosecond Lasers, Jared Eldon Payne

Theses and Dissertations

Silicon carbide (SiC) is a desirable material in a wide variety of semiconductor fields. The impressive thermal, chemical, and mechanical properties that make SiC an attractive material also make it very difficult to machine. New fabrication techniques are required to take full advantage of the potential of SiC. First, a new 3-dimensional (3D) non-line-of-sight (NLOS) fabrication technique using two-photon absorption is demonstrated in SiC. NLOS microchannels are shown with aspect ratios higher than 100:1. The process is the only method known, at this time, that can create truly 3D subsurface structures in SiC without direct line of sight to the …

Utilizing Ai For Improved Credit Risk Assessment, Emel Baglarbasi

Harrisburg University Dissertations and Theses

As the finance sector continues to evolve, traditional risk assessment methods struggle to calculate default risk and identify nonlinear relationships accurately. This research examines an alternative risk assessment model designed to estimate credit risk more accurately and efficiently in the credit processes of individual customers, which are one of the primary sources of income for the banking sector. It presents the theoretical design of an AI-based model. The use of this AI model can reduce human error in processes, improve risk assessment accuracy, and expedite procedures. The study adopts a postpositivist worldview and employs a quantitative research design. Algorithms including …

The Role Of Financial Management In Project Success: Budgeting, Forecasting, And Cost Control, Siddarth Kandikattu

Harrisburg University Dissertations and Theses

Financial management is essential for the success of projects, where budgeting, forecasting, and cost control are pivotal in reducing financial risks. This research investigates the efficacy of financial management practices across various sectors, pinpointing challenges including budget overruns, stakeholder pressures, and unforeseen costs. Utilizing qualitative research methods and analyzing survey data gathered via Qualtrics, the study reveals the effects of financial limitations, delays in approvals, and the use of digital financial tools on project outcomes.

The results indicate that insufficient budget allocation and poor forecasting practices are significant factors leading to project failures. Conversely, the implementation of financial technologies, including …

Incorporating Sustainability In Facility Layout Planning Algorithms And Assessing Hybridization Techniques On An Egyptian Case Study, Islam Atia

Theses and Dissertations

Due to the growing consequences faced as a result of global warming and climate change; humanity has come together to take an inclusive stance to combat this serious phenomena and work towards a more sustainable future. Large amounts of carbon dioxide emissions are a major contributor to global warming, and a vast proportion of this emission come from industrial and commercial facilities. Hence, if industrial facilities are built with a larger focus on carbon footprint, it will yield a significant reduction in global emissions throughout the lifetime of the facility and will constitute a huge milestone in the journey to …

Flexural Strengthening Of Reinforced Concrete Beams Using Nsm Gfrp: Assessing Key Parameters, Berlant Arab

Theses and Dissertations

The structural integrity and longevity of Reinforced Concrete (RC) beams are critical to modern construction, influencing safety, usability, and maintenance costs over time. As civil engineering endeavors to meet the challenges posed by aging infrastructure and evolving usage demands, rehabilitating and strengthening RC structures have become essential practices globally. This research focuses on a prevalent yet innovative method of enhancing RC beams: the application of Near Surface Mounted (NSM) Glass Fiber Reinforced Polymer (GFRP) bars.

GFRP is increasingly favored in structural engineering due to its superior properties to traditional materials. These include high tensile strength, resistance to corrosion, lightweight nature, …

Determining The Limitations Of Class F Fly Ash Compared To Class G Cement In Hydrocarbon Wells Application, Youssef Helmy

Theses and Dissertations

Cement is a material commonly used in multiple applications in different industries. Among the industries that uses cement is the oil and gas industry. API (American Petroleum Institute) Class G cement that is the most incorporated form of cement used in the cementation of oil and gas wells to provide several forms of protection and stabilization for the casings. However, Class G cement is contested in terms of efficiency, costs, and environmental awareness against Class F fly ash geopolymers by researchers. This research aims to explore the potential limitations that fly ash geopolymer might have for its use in the …

Predicting The Indirect Cost Of Construction Projects In Egypt: An Artificial Neural Network Approach, Aya Effat

Theses and Dissertations

Cost estimation is one of the vital processes in construction management that needs to be done early in any project in order to determine the project's budget. The accuracy of the cost estimate is a key factor in the success of construction projects since it enables project managers to successfully control the project’s expenses. Construction costs mainly consist of direct cost and indirect cost. Generally, indirect costs can be categorized into two types: site overheads and general overheads. In a construction project, overheads, particularly site overhead costs, make up a considerable portion of a contractor's budget. Accordingly, accurately estimating the …

Partial Replacement Of Ordinary Portland Cement In Concrete By Limestone Calcined Clay (Lc2), Merna Abdelaziz

Theses and Dissertations

Limestone calcined clay (LC2) technique is a new approach that could address the environmental problem corelated with the construction industry due to its vital reliance on the ordinary Portland cement in its various applications. LC2 technique involves partial replacement of the OPC in concrete by limestone and calcined kaolinite clay with a ratio of 1:2 respectively. The main advantage of this technique is its high applicability due to its direct application on site. This study investigated the applicability of incorporating the LC2 technique in the construction industry. Three replacement percentages of OPC by LC2 in concrete were explored, which are …

Interfacial Phenomena In Molten Salt Systems And Wetting Transitions In Microcavities, Aaron Essilfie

Theses and Dissertations

Interfacial phenomena are the processes that occur at the interface between two phases of matter: solid-liquid, solid-gas, liquid-liquid, and liquid-gas. Wetting, spreading, adsorption, and capillarity are some features of interfacial phenomena. This research explores two areas of interfacial phenomena: the interfacial tension between a liquid and gas, and wetting transitions in microcavities. Surface tension has been a widely studied topic in surface chemistry. Many techniques have been employed to study the surface tension of liquids in various studies and research areas, but the interfacial tension between a liquid and gas has not been extensively researched. For this reason, part of …

Performance-Based Full Depth Reclamation Design, Moatasem H. Algburi

Civil Engineering ETDs

The Full-Depth Reclamation (FDR) technique is a cold-mix asphalt (CMA) technology employed in New Mexico to rehabilitate existing pavements. It results in minor disruption to traffic, environmental advantages, and decreased construction period and costs. However, insufficient data on the material properties of FDR mixtures and their characterization limits the use of the mechanical-empirical (M-E) design method of FDR materials. The MEPDG develops performance models using the structural response of pavement layers to predict pavement structure systems based on material properties, climate models, and loading conditions. This study has developed MEPDG models to predict the long-term performance of FDR materials and …

Experimental Investigation And Operating Characteristics Of Lhr Engine Using Bio-Fuel Blends With Additives, Suresh R

Theses and Dissertations

The huge energy demand and environmental anxiety are the reasons for the focus on the interest in alternative fuels for diesel engines. This has resulted in a worldwide search for renewable, less pollutant and agricultural-based alternate fuels. Also, attention is given to increasing the efficiency of a conventional diesel engine when operating on alternative fuels. The bio-fuel derived from non-edible oil such as Pongamia oil and Neem seed oil are suggested alternative fuels for this LHR engine.

Diesel engine combustion components viz., the piston crown and liner were coated with Aluminium Titanate thermal barrier coating material. The objective of this …

Design And Modelling Of Advanced Power Converter Control For Harmonics Suppression And Energy Management, Jayant Sharma S

Theses and Dissertations

The quality of electrical power plays a crucial role in both industrial and domestic sectors. This issue becomes even more critical in systems that incorporate power converter-based loads, which are commonly integrated at the grid connection point. Motor drives and grid-integrated electric vehicle (EV) charging stations belong to a category of non-linear loads that inherently introduce substantial harmonic distortion into the current drawn from AC mains. This harmonic distortion adversely affects power quality, potentially leading to overheating and malfunctions in sensitive equipment across the grid. Furthermore, the widespread adoption of solar photovoltaic (PV) technology for EV charging stations has surged …

Fault Diagnosis And Fault Tolerant Structure For Multilevel Inverters Using Machine Learning Techniques, Sudha V

Theses and Dissertations

A paradigm shift towards electric drives in domestic and industrial sectors has significantly increased the use of multilevel inverters (MLI). MLIs are constructed using more semiconductor devices, which hinders safety and reliability. Literature states 31.2% of failures in MLIs are due to semiconductor devices. Hence, there is a need for fault detection and tolerant mechanisms to ensure the safety and reliability of MLIs.

MLIs like Cascaded H-bridge(CHB) and Packed U cell(PUC) are mostly preferred due to low harmonic distortion, which is considered in this work. The complexity associated with fault diagnosis with more components in MLIs is addressed by machine …

Performance Assessment Of Fiber-Reinforced Asphalt Mixtures: A Comprehensive Laboratory And Full-Scale Investigation, Ali Raza Raza Khan

Theses and Dissertations

Asphalt concrete is a composite material widely used in the construction of roads; however, fatigue cracking (load associated), thermal cracking (non-load associated), and permanent deformation (or rutting) are the most challenging issues in flexible (or asphalt) pavement structures. These distresses affect ride quality and are considered the most well-known pavement deterioration types. Several modifiers have been used as potential solutions to cracking and rutting of asphalt mixtures (i.e., polymers, geogrids etc.). Among these modifiers, fibers were introduced to improve the resistance of asphalt mixtures to rutting and cracking. Addition of fibers into the asphalt mixture is always challenging because of …

Using Unmanned Aerial Vehicles To Facilitate Traffic Incident Management, Adam William Hill

Theses and Dissertations

Incident management teams (IMTs) minimize crash impacts and create a safer highway network for people and communities. Research has shown that optimizing the IMT fleet has strong benefits to the roadway network, but future models indicate that increasing IMT presence may have diminishing returns after excessive roadway saturation. The Utah Department of Transportation (UDOT) would like to improve situational awareness in areas of poor or limited camera coverage, where situational awareness is typically poor. UDOT is considering the use of unmanned aerial systems (UAS) to provide live camera coverage of traffic conditions in these instances. This thesis synthesizes practice from …

A Geomatic Appraisal On Restoration Of Tank Cascade Systems In Ambuliyar Watershed, Tamilnadu, Nasir N

Theses and Dissertations

Tanks and earthen embankments used for water harvesting and storage have been a significant part of India's irrigation system since the 2nd and 3rd centuries. In Tamil Nadu, around 39,202 tanks have storage capacities of around 178.94 million cubic feet. However, they have been impacted by natural and anthropogenic threats such as soil erosion, siltation, inadequate rainfall, and drought. This study aims to determine the current storage capacity of tanks, estimate the loss in storage capacity/volume of silt, estimate the rate of siltation and life of tanks, identify soil erosion-prone zones, and map deteriorating parameters along supply channels.

The study …

Generating Real-Time Synthetic Datasets To Improve Aerial Object Detection, Garrett Williams

Theses and Dissertations

The widespread use of unmanned aerial vehicles (UAVs) across civilian and military applications has necessitated the advancement of real-time drone detection and tracking capabilities. Machine Learning (ML) addresses these requirements, however, to train a robust and generalizable model requires large and diverse video datasets. Curating these real-world datasets is often time-consuming and cost-prohibitive. Here, we present DyViR, a real-time customizable rendering application capable of automatically generating highly realistic synthetic, multi-modal video of aerial objects, digital environments, and automatic generation and labeling of bounding boxes. Synthetic data, coupled with real-world training sets, augment the ML training process, leading to increased performance …

Correlations Between Song Popularity And Their Audio Features Using Machine Learning, Rong Chen

Dissertations, Theses, and Capstone Projects

This project is an interactive visual project that explores the relationship between audio features and song popularity on Spotify using machine learning techniques. Through the collection of nearly half a million songs and implementation of seven different machine learning models, including Linear Regression, Random Forest, Decision Trees, and Gradient Boosting, I investigated how audio characteristics correlate with a song's popularity ranking. The project utilized MongoDB for data storage, Spotipy for API integration, and Streamlit with Plotly for visualization. This work provides insights into the practical challenges of large-scale music analysis and the relationship between technical audio characteristics and commercial success, …

Construction Change Order Data As Inputs For A Programmatic Risk Model, Eric C. Klein

Theses and Dissertations

Hurricane Michael struck Tyndall Air Force Base as a Category 5 storm with 160 mph winds, damaging or destroying 90% of its infrastructure (484 buildings). This devastation prompted the Department of Defense to rebuild Tyndall as the “Installation of the Future,” encompassing 44 Military Construction (MILCON) projects and 260 Facility Restoration, Sustainment, and Modernization (FRSM) projects. Since reconstruction began, over 630 Change Request Forms (CRFs) have been closed, adding $67.8 million in costs and 4,880 construction days. The Air Force Civil Engineer Center's Natural Disaster Recovery (NDR) Division developed a programmatic risk model to predict future costs and delays. However, …