Digital Commons Network^™

Board 125: Work In Progress: Faculty Experiences And Learning Through Oral-Assessment Implementation In Engineering Courses, Minju Kim, Carolyn L. Sandoval, Josephine Relaford-Doyle, Torus Washington Ii, Saharnaz Baghdadchi, Nathan Delson, Marko Lubarda, Alex M. Phan, Curt Schurgers, Huihui Qi

Psychology Faculty Articles and Research

This WIP qualitative research paper explores faculty experiences with implementing oral exams in high-enrollment undergraduate engineering courses at a research university. With a primary goal to improve conceptual mastery, as well as a desire to ensure academic integrity in the sudden move to remote instruction at the height of the pandemic, a group of faculty in Mechanical and Aerospace Engineering and Electrical and Computer Engineering departments implemented oral assessments in their own engineering courses across several quarters. They formed a research group with educational developers in a teaching and learning center on campus, and investigated the impact of oral assessments …

Board 303: Implementing Oral Exams In Engineering Classes To Positively Impact Students' Learning, Huihui Qi, Carolyn L. Sandoval, Curt Schurgers, Marko Lubarda, Alex M. Phan, Saharnaz Baghdadchi, Maziar Ghazinejad, Minju Kim, Zongnan Wang, Nathan Delson

Psychology Faculty Articles and Research

In this paper, we present the outcomes of a three-year NSF IUSE project focused on the integration of oral examinations in engineering classes. Our exploration begins with an examination of the manifold advantages of oral exams, benefiting both students and instructors. We delve into oral exams as an assessment tool, elucidating their learning benefits and emotional advantages. While some of these aspects align with existing literature, we also unveil novel findings. Additionally, we address the benefits for instructors and Teaching Assistants (TAs), encompassing informative insights that can catalyze instructional improvements. Next, we share our strategies for mitigating the scalability challenges …

Model-Based Systems Engineering For Engineering Education Systems Simulation, Pallavi Singh

USF Tampa Graduate Theses and Dissertations

As the engineering education system continuously evolves to meet the demands of modern industry and society, there is a need for a methodology that would manage and resolve the complexities inherent in engineering educational systems. Model-based Systems Engineering (MBSE) is a structured approach to system design that utilizes models across all stages of the system's life cycle and supports requirements management, design, analysis, verification, and validation processes. While MBSE has been applied successfully in industries like defense, aerospace, and automotive, its application in engineering educational systems remains unexplored. This dissertation develops a dynamic model of the university-level engineering education system …

Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays

Human-Machine Communication

Considering possible impediments to authentic interactions with machines, this study explores contributors to robophobia from the potential dual influence of technological features and individual traits. Through a 2 x 2 x 3 online experiment, a robot’s physical human-likeness, gender, and status were manipulated and individual differences in robot beliefs and personality traits were measured. The effects of robot traits on phobia were non-significant. Overall, subjective beliefs about what robots are, cultivated by media portrayals, whether they threaten human identity, are moral, and have agency were the strongest predictors of robophobia. Those with higher internal locus of control and neuroticism, and …

Anonymized Identity Recognition And Classification Using Privacy Preserving Facial Encoding, Manas Sanjay Pakalapati

USF Tampa Graduate Theses and Dissertations

The need for sharing large-scale datasets to train deep neural network models, particularly in healthcare, raises significant data security and privacy concerns. To address these issues, methods such as data encryption or encoding are utilized. These techniques can encrypt the data and make it unreadable to humans, while still retaining its usefulness for training models.

In this study, we investigate various image encoding techniques designed to protect privacy by making images unrecognizable while still retaining their usefulness for model training. Our investigation utilized publicly available facial databases and focused on evaluating the trade-offs inherent in image encoding techniques, with a …

Integration Of Machine Learning In Structural Health Monitoring For Damage Identification And Response Prediction In Bridges, Naga Lakshmi Chittitalli Ravuri

Theses and Dissertations

Machine learning-based structural health monitoring (ML-SHM) plays a pivotal role in enhancing structural resilience. By recognizing potential hazards, implementing resistance measures, facilitating swift recovery, and continuously monitoring structural health, ML-SHM ensures proactive maintenance and minimizes recovery delays post-events. Leveraging machine learning algorithms and sensor data, ML-SHM enables early detection of anomalies, prediction of failures, and adaptive responses, enhancing the structure's ability to withstand and recover from adverse conditions. This integrated approach not only improves the structure's performance and adaptability but also contributes to overall safety and longevity. This thesis presents a comprehensive exploration of structural health monitoring (SHM) techniques for …

Digimindready: Enhancing Military Readiness Through Edge Ai-Driven Wellness, Education, And Digital Discipline Via Privacy-First Mhealth Innovation, Md Mehedi Hasan

Master's Theses

Military personnel often find themselves in intense situations that require high focus. Successfully engaging in these dangerous missions means they must efficiently control cognitive load, manage overwhelming stress, and stay focused through distractions to perform at their best. Military training significantly focuses on human performance, which benefits military readiness. The 21st century has introduced unanticipated challenges to all, such as the adverse effects of excessive screen time, external distractions, and over-reliance on technology without being aware of digital discipline. Militaries are no exception. These challenges have become an emerging threat to military personnel's cognitive, emotional, and physical well-being. On top …

Understanding Social Impacts Of Major Disruptions From The Perspective Of Destination Access, Manika Rana Bhat

LSU Master's Theses

Major disruptions (like public health crises and extreme weather events) significantly impact human mobility and travel patterns. This study investigates the social impacts of major disruptions on human mobility from the perspective of accessing destinations. This study used a large-scale dataset from SafeGraph and focused on analyzing the impacts of COVID-19 and Hurricane Ida on destination access in Louisiana. The findings of the temporal plots indicated that the impact magnitude of Hurricane Ida was much smaller than that of the COVID-19 pandemic but still resulted in hardship on destination access. During COVID-19, it was found that parishes with limited active …

Aligning Clinical Productivity Of Cancer Care Providers: A Simulation-Based Approach, Maile Sinclair-Baxter

USF Tampa Graduate Theses and Dissertations

The growing number of cancer patients over the years has presented many challenges and opportunities for improvement in the healthcare system. These challenges and opportunities have demonstrated the need for a tool that can enhance the clinical productivity of healthcare providers, ultimately impacting patients’ overall experience. We studied the clinical Full Time Equivalency (cFTE) for providers at a cancer research center. cFTE is the percentage of time allocated for clinical work. In this cancer research center, the clinical work of each provider is supposed to match a targeted cFTE. The cancer research center’s concern was that the provider’s clinical productivity …

Enhancing Contractor Selection Through Fuzzy Topsis And Fuzzy Saw Techniques, Mohammadsoroush Tafazzoli, Ayoub Hazrati, Kishor Shrestha, Krishna Kisi

Civil Engineering & Construction: Faculty Publications

Contractors play an integral role in construction projects, and their qualifications directly impact various aspects of a project’s success. The unbiased selection of contractors is a challenge in the construction industry worldwide, particularly in public projects where impartiality in the final selection is essential. Numerous factors must be considered when evaluating contractors, making the selection process challenging for the human brain. This paper introduces and compares two methods for assessing contractor prequalification by applying the fuzzy theory. The idea is to facilitate using human judgments in a mathematical system for decision-making with regard to selecting contractors. The method is based …

Stretching The Limits Of Mri—Stretchable And Modular Coil Array Using Conductive Thread Technology, Folk W. Narongrit, Thejas Vishnu Ramesh, Joseph V. Rispoli

Purdue University Libraries Open Access Publishing Fund

Objective: We propose a modular stretchable coil design using conductive threads and commercially available embroidery machines. The coil design increases customizability of coil arrays for individual patients and each body part. Methods: Eight rectangular coils were constructed with custom-fabricated stretchable tinsel copper threads incorporated onto textile. Tune, match, and detune circuits were incorporated on the coil. A hook-and-loop mechanism was used to attach and decouple the modular coils. Phantom and in vivo scans at various anatomical flexion angles were acquired to highlight performance, and a temperature test was performed to verify safety. Results: In vivo MRI experiments demonstrate high sensitivity …

The Impact Of Emojis On User Engagement With Trolling Content In Online Platforms, Diya Saraf

Computer Science and Engineering Senior Theses

This thesis examines the impact of emojis on user engagement within online discussions, particularly focusing on the trolling behavior on social media platforms such as Reddit. The central problem addressed is understanding how different types of emojis—in emotional, informational, and popularity-based categories—affect user interactions and engagement in online communications. Through a robust methodological approach, combining quantitative data analysis and Random Forest regression modeling, this research meticulously analyzes emoji usage patterns and their correlations with engagement metrics like upvotes and comments.

The results highlight that emotional and popular emojis significantly enhance engagement by facilitating emotional expression and connection among users. In …

Ragu Conversational Menu Assistant: An Llm Retrieval Augmented Generation Approach, Sam Abdel, Seth Mak, Aaron Pham, Christopher Michael

Computer Science and Engineering Senior Theses

This project introduces a novel Conversational Menu Assistant leveraging Retrieval Augmented Generation (RAG) techniques within a modified Large Language Model (LLM) framework to enhance dining experiences by providing personalized menu assistance. The main innovation lies in the system’s ability to integrate up-to-date menu information from various sources, including web scraping, into its responses, thereby circumventing the limitations commonly associated with LLMs, such as the need for frequent retraining and the challenge of handling dynamic information. Our solution addresses the pressing issue of reducing the workload on restaurant servers and streamlining the ordering process by offering precise menu details, personalized recommendations …

Spectral Behavior Of Fiber Bragg Gratings During Embedding In 3d-Printed Metal Tensile Coupons And Cyclic Loading, Farid Ahmed, Md Shahriar Forhad, Mahmudul Hasan Porag

Manufacturing & Industrial Engineering Faculty Publications

Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon’s center of axis) and off-axis (fiber is at 5° and 10° to the coupon’s center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs’ spectral evolutions …

Enhancing Urban Parking Efficiency Through Machine Learning Model Integration, Sai Sneha Channamallu, Sharareh Kermanshachi, Jay Michael Rosenberger, Apurva Pamidimukkala

Open Initiatives Grant Funded Publications-Archive

An increase in vehicular traffic and a scarcity of parking spaces are creating significant challenges for urban parking management. This study aims to tackle these issues that escalate congestion and pollution and decrease urban productivity, by utilizing machine learning models to accurately predict parking space availability and categorize occupancy levels. It employs a dataset from a college campus garage collected from January 2022 to June 2023 and analyzes the performance of random forest, decision tree, linear regression, and support vector models by comparing them, using multiple evaluation metrics. The results revealed that the random forest model was the most reliable, …

New Generation Graphenes In Cement-Based Materials: Production, Property Enhancement, And Life Cycle Analysis, Sahil Surehali, Sayee Srikarah Volaity, Aswathy Simon, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Several studies have explored the use of graphene to improve the properties of cement-based materials. However, most commercially available graphenes are expensive, not amenable to mass production, and have high embodied energy and emissions, making their use in concrete less attractive, despite the beneficial mechanical property attributes. This paper discusses the use of two novel graphene types, fractal graphene (FG) and reactive graphene (RG), obtained through a cost-effective and scalable detonation synthesis, in cement-based materials. FG and RG are sheets containing 6-10 layers, with lateral dimensions of 20-50 nm and a z-axis thickness of RG, when added at very small …

Design And Characterization Of 3d-Printed Hydrogel Lattices With Consistent Structural And Mechanical Anisotropy, Daniel Yoon

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis explores the use of 3D printing to fabricate soft hydrogel lattice structures with consistent properties, including varying levels of mechanical anisotropy. Magnetic resonance elastography (MRE) is a non-invasive imaging tool to estimate and characterize the mechanical properties of tissue. MRE “phantoms” (physical surrogate models) have been used to assess how well MRE can measure and estimate mechanical properties. While gel phantoms generally simulate brain tissue, almost all have been isotropic. Prior studies have shown that white matter brain tissue is structurally and mechanically anisotropic. To validate anisotropic MRE, phantoms with controllable, reproducible anisotropic material properties are needed. This …

Editorial: Mitral Valve Disease: Mechanisms To Therapies, Maria Carmo Nunes, Hoda Hatoum, Alison M. Pouch, Muralidhar Padala

Michigan Tech Publications

No abstract provided.

Ar Storybook, Priya Jain, Jessica Torres, Melody Trinh

Computer Science and Engineering Senior Theses

Parents often use technology as a digital pacifier or source of entertainment for their children. While excessive screen time for children can be harmful, a digital future seems inevitable. As technology becomes more prominent in everyday life, children should utilize their early years to engage with technology in a way that develops their growing minds. AR Storybook is an interactive storybook that strives to provide children with an active learning experience. The story teaches children computational thinking skills through augmented reality activities embedded into the plot. The activities ask the user to help a character complete a task by using …

Aging-Related Changes In The Mechanical Properties Of Single Cells, Amarnath Singam, Chandrabali Bhattacharya, Seungman Park

Mechanical Engineering Faculty Research

Mechanical properties, along with biochemical and molecular properties, play crucial roles in governing cellular function and homeostasis. Cellular mechanics are influenced by various factors, including physiological and pathological states, making them potential biomarkers for diseases and aging. While several methods such as AFM, particle-tracking microrheology, optical tweezers/stretching, magnetic tweezers/twisting cytometry, microfluidics, and micropipette aspiration have been widely utilized to measure the mechanical properties of single cells, our understanding of how aging affects these properties remains limited. To fill this knowledge gap, we provide a brief overview of the commonly used methods to measure single-cell mechanical properties. We then delve into …

Design, Prototyping, And Characterization Of A Micro-Force Sensor Intended For Tissue Assessment In Confined Spaces, Shashank S. Kumat, Panos S. Shiakolas

Open Initiatives Grant Funded Publications-Archive

The quantitative characterization of soft tissue viscoelastic properties can aid in disease prognosis and diagnosis. Existing technologies present challenges to measuring localized in vivo tissue relaxation data while meeting load and geometric constraints. This research presents the design, prototype, and characterization of a micro-force sensor that could enable better access to confined spaces of the human body. The novel design of the uniaxial micro-force sensor has an external diameter of less than or equal to 3.5 mm and 1 N load capacity for transurethral palpation of the bladder interior wall. The conceptual design of the micro-force sensor and a finite …

Shape Memory Alloy Capsule Micropump For Drug Delivery Applications, Youssef Mohamed Kotb

Theses and Dissertations

Implantable drug delivery devices have many benefits over traditional drug administration techniques and have attracted a lot of attention in recent years. By delivering the medication directly to the tissue, they enable the use of larger localized concentrations, enhancing the efficacy of the treatment. Passive-release drug delivery systems, one of the various ways to provide medication, are great inventions. However, they cannot dispense the medication on demand since they are nonprogrammable. Therefore, active actuators are more advantageous in delivery applications. Smart material actuators, however, have greatly increased in popularity for manufacturing wearable and implantable micropumps due to their high energy …

Academic Success In First-Year Engineering Students At Private Higher Education Institutions In Egypt: Key Factors, Wassim Alexan

Theses and Dissertations

This research aimed to identify the key factors contributing to the success of first-year engineering students at private higher education institutions (HEIs) in Egypt. It specifically examined how various independent variables influence the success of these students, measured as the dependent variable. By analyzing these relationships, the study seeks to pinpoint key success factors (KSFs) for first year engineering students in this specific educational context. The research work employed a mixed methods approach, utilizing both quantitative and qualitative research methods. The quantitative analysis involved collecting data through a survey administered to a sample of first year engineering students at private …

Statistical Modeling Of Knee Morphology And Material Properties Considering Diverse Populations, Gabrielle Jeannine Kindy

Electronic Theses and Dissertations

Total Knee Arthroplasty (TKA) is a widely performed surgical procedure aimed at alleviating pain and restoring function in patients with severe knee osteoarthritis. Despite its general success, disparities in postoperative outcomes have been observed across different racial and ethnic groups, with minority populations often experiencing less favorable results. One potential avenue for improving the generalizability of orthopaedic implants is using Statistical Shape and Intensity Models (SSIMs), which can be used to incorporate patient variability directly into the orthopaedic medical device development workflow through population-based finite element analysis.

This work aimed to construct an SSIM from a diverse subject set, incorporating …

Monterecycle: An Application For Streamlining Tracking Of Recyclables In Uruguay, Aayooshi Dharmadhakari, Danny Walsh, Eason Ke, Kamya Krishnan

Computer Science and Engineering Senior Theses

Recycling is a crucial process that has a positive impact on nature, cleans the environment, and saves time and money. Classifying recyclables by material and recycling these items accordingly helps make our world more environmentally-friendly and a better place to live.

In the recycling system in Montevideo, Uruguay, third-party contractors hired by San Vicente transport clients’ recyclables to a central recycling center or to a person that does recycling. In the past, San Vicente has transported recyclables though horse and buggy transportation. However, there has been a push from the city to replace the horses with motorcycles to reduce animal …

Differentiating Dynamic System Outcomes In Cam Photosynthesis Through Sonification, Duncan Turley

Civil and Environmental Engineering Undergraduate Honors Theses

Sonification is a powerful tool that is harnessed by modern engineers to represent information through audio, and is beginning to be used to interpret more complex data sets. Sonification can be used to facilitate the listeners' ability to grasp microscopic or complex changes in the state of a system. This study uses the assigning of sound patterns to model outputs that indicate chaotic or non-chaotic systems in Crassulacean acid metabolism photosynthesis. Using sound allows the interpretation of chaotic data without the more time intensive processes typically used, such as of Fast Fourier Transformations. Based on past research, it is known …

Iotsolate: Network Microsegmentation For Managing And Securing Iot Devices, Chloé Morali, Anagha Nair

Computer Science and Engineering Senior Theses

Developing solutions to secure IoT devices is a pressing issue facing us today. Although IoT devices improve everyday life in various ways, they are susceptible to security threats, impacting users in all environments. As the number of IoT devices increases, the attack surface expands exponentially. However, securing these devices proves to be a challenge because they are made with limited processing capabilities, which means they lack necessary security features. They also come in a wide range of variations in terms of operating systems, physical design, and network connectivity which complicates the establishment of standardized security options. Additionally, they tend to …

Performance Evaluation Of Databases For Packet Capture And Analysis, James Vong, Daniel Kareti

Computer Science and Engineering Senior Theses

Today, the presence of smart devices is constantly on the rise, especially for Internet of Things (IoT) devices. However, their utility-based design means that these devices are limited in computing power. Due to this limited computing power, the devices are more prone to cyber-security threats, and it is vital to construct a method to aid in network traffic analysis, bolstering defense mechanisms to thwart any malicious attacks. To analyze their network data efficiently and externally, we constructed a test-bed infrastructure to measure and evaluate the performance of databases. In this thesis, we have chosen to compare two databases which are …

Scdi: Privacy-Preserving Device Identification, Ethan Shenassa, Michael Castillo

Computer Science and Engineering Senior Theses

As internet security concerns grow due to the increasing complexity of cyberattacks, heterogeneity of network-connected devices, and popularity of insecure Internet of Things (IoT) devices, network administrators require more intelligent ways of managing and securing their networks. One crucial step in this regard is the ability to identify and classify devices from the edge of networks. However, many recent advances in network security come at the cost of user privacy, as device classification algorithms often require packet payload data, Internet Protocol (IP) addresses, or other sensitive information. This paper proposes the Shenassa-Castillo Device Identifier (SCDI): a software network device identifier …

Evaluation Of Insurance Policies In The Saudi Arabian Construction Contracts, Ahmed Gouda Mohamed

Civil Engineering

The construction sector is more complicated and prone to risk than many other industries due to the size of the projects and the financial capital involved. Arranging insurance is the prudent course of action for risk management in the construction sector. There is a lack of clarity in insurance policies for public construction projects in the Kingdom of Saudi Arabia (KSA), which poses additional risks to all involved contracting parties. The aim of this research is to evaluate insurance policies in the KSA's public construction projects to identify the key deficiencies and obstacles and provide a road map for improvement …