Engineering Commons^™

Federated Learning For Sentiment Analysis In Presence Of Non-Iid Data: Sensitivity Of Deep Learning Models, Davoud Gholamiangonabadi, Katarina Grolinger

Electrical and Computer Engineering Publications

In sentiment analysis, data are commonly distributed across many devices, and traditional machine learning requires transferring these data to a central location exposing data to security and privacy risks. Federated Learning (FL) avoids this transfer by training a model without requiring the clients/devices to share their local data; however, FL performance drops when data are not Independent and Identically Distributed (non-IID), such as when label distribution or data size vary across clients. Although techniques for non-IID data have been proposed primarily in the image domain, the sensitivity of various deep learning models to non-IID data needs to be examined. Consequently, …

Low-Cost Open-Source Melt Flow Index System For Distributed Recycling And Additive Manufacturing, Dawei Liu, Aditi Basdeo, Catalina Suescun Gonzalez, Alessia Romani, Hakim Boudaoud, Cécile Nouvel, Fabio A. Cruz Sanchez, Joshua M. Pearce

Electrical and Computer Engineering Publications

The increasing adoption of distributed recycling via additive manufacturing (DRAM) has facilitated the revalorization of materials derived from waste streams for additive manufacturing. Recycled materials frequently contain impurities and mixed polymers, which can degrade their properties over multiple cycles. This degradation, particularly in rheological properties, limits their applicability in 3D printing. Consequently, there is a critical need for a tool that enables the rapid assessment of the flowability of these recycled materials. This study presents the design, development, and manufacturing of an open-source melt flow index (MFI) apparatus. The open-source MFI was validated with tests on virgin polylactic acid pellets, …

Sensorized Autonomous Manipulation Platform For Underwater, Matthew Stein, Matthew Satriale, Andrew Vo

Student Research Symposium

Researchers from Brown University, University of Massachusetts Lowell (UML), and the Office of Naval Research (ONR) are developing autonomous underwater robots for naval applications. The robots must be able to autonomously complete the tasks it encounters. Roger Williams University developed a submersible instrumented back plane and four interchangeable task modules. The sensorized task platform quantitatively measures task performance for researcher evaluation.

Deep Learning Based Optical Flow Analysis Of High-Speed Flows, Daniel H. Zhang, Zifeng Yang

Mechanical and Materials Engineering Faculty Publications

Two-dimensional Rayleigh scattering imaging is utilized to quantify the high-speed flow velocity by employing deep learning based optical flow analysis, along with density fields from Rayleigh scattering intensity profiles.

Inflammatory Protein Elicitation In Response To Whole-Body Vibration Exposure, Nicholas Miller

Theses, Dissertations and Capstones

This study aimed to assess the effects of whole-body vibration (WBV) on the brain through changes in blood protein concentrations, seat and head accelerations, and symptomatology over time. Subjects were assigned to control, 1-hour, or 8-hour vibration exposure groups. Glial fibrillary acidic protein (GFAP) and S100B concentrations were measured. Root mean square average weighted vibration (A_ws), vibration dose value (VDV), and seat-to-head transmissibility (STHT) were calculated. There were no differences in GFAP (p = 0.79) or S100B (p = 0.97) concentrations between 1-hour and 8-hour subjects (p = 0.79). Average weighted head acceleration (p …

Advances In Control Strategies For Cyberphysical Systems Incorporating Quantum Computing, High-Fidelity Simulation Methods, And Space Communication Concerns, Kip Nieman

Wayne State University Dissertations

Continuing advances and new applications in manufacturing and the systems engineering field lead to increased demands on controllers, models, simulation tools, and computer systems. Utilizing these new technologies can have profound consequences on control of the physical system itself, and the interactions between these aspects will need to be understood to ensure economic efficiency, safety, and secure operation. It is not always clear how implementing new technologies will impact the control of a process, especially when the modes of operation of the technology or the process itself are unusual or unknown. To address this, the work presented in this thesis …

Design Of Multi-Objective And Optimal Sliding Mode Controller For Tracking Knee Joint Angle During Squatting And Normal Gait Motion, Gabriel Sitler

Theses, Dissertations and Capstones

This work presents two objectives for the use of robust sliding mode controller (SMC) in optimal and multi-objective settings to regulate the position of the knee joint angle for patients suffering from knee injuries. The controller imitates the role of active orthoses that produce the joint torques required to overcome gravity and loading forces and regain natural human movements. The first objective is to focus only on the knee, for which a mathematical model of the shank, the lower part of the leg, is derived first and then used for the control system design and computer simulations. Four objectives are …

Numerical Design, Fabrication, And Characterization Of Porous Tissue Scaffolds For Bone Regeneration, Brandon Coburn

Theses, Dissertations and Capstones

With the recent advancements within biomedical engineering of bone tissue scaffolds, there is still a need to develop mechanically robust and biocompatible with low immunogenicity for bone regeneration. Additionally, the evaluation of the fluid dynamics of the porous Triply Periodic Minimal Surfaces (TPMS) bone scaffold also shows the need for investigation due to the complex fluid interaction of hemodynamics that occurs with the scaffold internal and external domains. To aid in the development of treating bone fractures, defects, and diseases. Furthermore, with the induction of a wide variety of TPMS architecture that yields different topologies, the Convolutional Neural Network (CNN) …

Evaluation Of Driveway Assistance Device (Dad) Systems In One-Lane Two-Way Work Zone, Mm Shakiul Haque, Aemal J. Khattak, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

Lane closure on two-lane highways due to the presence of work zones negatively impacts traffic safety and operational efficiency. Additionally, traffic from access points (e.g., commercial and residential driveways, or minor side roads) within work zones make operations more complicated and inefficient. Deploying a driveway assistance device (DAD) system can enable more efficient traffic control for work zones with access points. While traffic agencies are becoming interested in DAD deployments, research on such systems is relatively sparse. This research was the first in-depth operational investigation of the DAD system under different signal strategies, traffic conditions, and work zone characteristics. This …

Enhancing Academic Performance And Psychological Well-Being Through Sound Vibration Reading: An Experimental Study, L. Yan, X. Xu, Man Hon, Billy Chow, S.S. Lai

Staff Publications

This study investigates the development and application of monitoring equipment for sound vibration in neuroscience, focusing on its effects on high school students' academic performance and psychological well-being. The premise of the research is based on the phenomenon where sound vibrations from speech induce vibrations in the cranial bones, which is hypothesized to improve cerebrospinal fluid circulation, thus enhancing nutrient exchange within brain tissues. This enhancement could potentially elevate cognitive capabilities, academic achievements, and reduce psychological stress among students.

To verify the effects of sound vibration on learning outcomes, controlled experiments were performed in schools located in Beijing and Henan, …

Graduate School Academic Catalog 2024-2025, Graduate School Of Engineering And Management, Air Force Institute Of Technology, Walter F. Jones

AFIT Documents

No abstract provided.

Strain-Dependent Activity-Stability Relations In Ruo2 And Iro2 Oxygen Evolution Catalysts, Payal Chaudhary, Alexandra Zagalskaya, Herbert Over, Vitaly Alexandrov

Department of Chemical and Biomolecular Engineering: Faculty Publications

Strain engineering is an effective strategy in modulating activity of electrocatalysts, but the effect of strain on electrochemical stability of catalysts remains poorly understood. In this work, we combine ab initio thermodynamics and molecular dynamics simulations to examine the role of compressive and tensile strain in the interplay between activity and stability of metal oxides considering RuO₂ and IrO₂ as exemplary catalysts. We reveal that although compressive strain leads to improved activity via the adsorbate-evolving mechanism of the oxygen evolution reaction, even small strains should substantially destabilize these catalysts promoting dissolution of transition metals. In contrast, our results …

Thought Quantification With A Single-Channel Eeg Bci System, Michael Angelo De La Cruz Ortiz

Undergraduate Research Posters 2024

BCI (Brain-Computer Interfaces) implement various aspects of brain activity monitoring and analysis technologies. EEG (electroencephalogram) has proven to be a viable way to safely probe electromagnetic brain activity through non-surgical means. However, these devices are not viable for everyday consumer use, specifically amongst people with disabilities. This project aims to develop a means of processing data to optimize the use of a single-channel EEG. For this purpose, the output of a mind flex headset by Mattel was processed to quantify six different thought commands (up, down, left, right, forward, backward) from one subject. The data was analyzed via a computational …

Optimized Path Planning For Defect Inspection Based On Effective Region Coverage, Tai Wai, David Chik, Chi Shing Wong

Staff Publications

A movable camera travels along an inspection path for optically inspecting an inspection surface of an object for defect detection. In planning the inspection path, a set of viewpoints on the inspection surface is generated. Each viewpoint is associated with a patch, which is a largest area of the inspection surface within a field of view (FOV) of the camera when the camera is located over the viewpoint for capturing an image of FOV. An effective region of the patch is advantageously predicted by a neural network according to a three-dimensional geometric characterization of the patch such that the predicted …

Case Studies Of Restapi And Graphql Architectures, Janni Daniel Balraj, Gary Clynch

Academic Poster Collection

The adoption of microservices architecture has experienced significant growth, driven by its appeal in terms of modularity, scalability, and deployment ease. However, this proliferation of microservices has intensified the demand for efficient data exchange among them. While REST API has long been the standard protocol for microservices communication, its limitations in flexibility and performance have spurred the ascent of GraphQL as a more efficient alternative, as highlighted by studies comparing their performance. As the number of microservices continues to rise, traditional methods like REST APIs prove challenging, leading to issues such as over-fetching or under-fetching of data. GraphQL addresses these …

Nebraska Water Center Annual Report 2024

Nebraska Water Center: Administrative Materials

The report's highlights updates including ongoing research, know your well, and the Nebraska master irrigator launch.

Introducing The Engineering Design Process To First-Year Students With A Project Focused On Offshore Wind Energy, Gordon Stewart, Maija A. Benitz, Lillian C. Jeznach, Charles R. Thomas

Engineering, Computing & Construction Management Faculty Publications

This is a complete evidence-based practice paper. In 2019, a new semester-long course project was developed for our university’s first-year engineering program that aimed to introduce students to the engineering design process (EDP) in an engaging and relevant way. Students in our small undergraduate-only engineering program earn Bachelors of Science degrees in Engineering, with a specialization in civil, computer, electrical, environmental, mechanical, or a custom area. Offshore wind energy was chosen as the project topic both for its relevance to the university’s coastal location and because it touches upon many of the subareas of engineering that students can specialize in. …

The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman

Finance, Economics, and Data Analytics

The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …

Ai And Workforce Development: A Comparative Analysis Of Skill Gaps And Training Needs In Emerging Economies, Gursahildeep Singh Sidhu, Md Abu Sayem, Nazifa Taslima, Ahmed Selim Anwar, Fariba Chowdhury, Manataka Rowshon

Finance, Economics, and Data Analytics

AI is developing quickly and offers considerable prospects for economic development; nevertheless, it presents crucial challenges for instance, skills development and its effect on employee's jobs in developing economies. This research will seek to establish the current state of AI related skills deficits and training in these economies to establish how governments and organizations can close the gaps by preparing the workforce for the future AI revolution. In line with the research questions, the following emerges as the research problem: To what extent have emerging market companies embraced AI? What key skills are scarce both in the internal and external …

Dung Dkar Cloak: Exploring Soft Interfaces For Sonic Interactions, Judit Eszter Kárpáti, Esteban De La Torre

Textile Society of America: Symposium Proceedings

The importance of crossmodal interaction within the contemporary cultural, technological and scientific panorama has evidently gained significant attention due to its remarkable advantages in creating a meaningful, interwoven, and integrated experience. The use and recontextualization of textiles in such exploratory quest into the human senses has proven to be critical. Computational science, algorithmic logic and digital devices have always been rooted and closely interwoven with textile crafts and practices. Recent technological advancements have further combined technology and textile, generating interactive textile surfaces, constructing endless possibilities for multisensorial experiences. In this presentation we will examine how we can weave a sensitive …

Weaving Transformations: Integrating The Tc2 Loom In Higher Education Textile Programs, Anna Stuffelbeam, Kate Nartker, Janie Woodbridge

Textile Society of America: Symposium Proceedings

The Thread Controller 2 (TC2) loom is a novel technology that has reshaped how artists and designers explore the technical intricacies in jacquard weaving and harness textiles for creative expression. In this presentation, we discuss the integration of the TC2 within higher education art and design programs across the United States. Our research aims to explore the complexities and opportunities presented by the TC2 loom from both educator and student perspectives. The integration of this unique technology emphasizes the need for adaptation and innovation in pedagogical approaches.

In this two-part presentation, we first discuss the results of a qualitative study …

Environmental Metrics In Action: Exploring U.S. Superfund Sites Affiliated With The Fashion Industry, Nidia K. Trejo

Textile Society of America: Symposium Proceedings

Little is known of Superfund sites, long-term clean up sites, affiliated with the apparel and footwear supply chain in the United States. The United States Environmental Protection Agency (US EPA) manages the clean up of contaminated sites that pose a significant risk to human health and the environment under the Superfund program. A site can become contaminated if hazardous waste from industrial operations are mismanaged or dumped into the environment, in an uncontrolled manner. In this study, a proposed Superfund site (Mohawk Tannery in Nashua, New Hampshire), an active Superfund site (Ciba-Geigy Corp. in Toms River, New Jersery), and a …

Experimentation On Manual Paper Making Using Mango Seed Fibers, Mercy Wanduara

Textile Society of America: Symposium Proceedings

This paper seeks to explore the use of Kenyan mango fiber as a core ingredient in papermaking. Mango is a tropical fruit grown in many countries around the world, including Kenya. The fruit tree grows naturally and has a maturity period of approximately three years. When this juicy fruit is ready for harvesting most of the fruits are harvested for consumption but plenty of them find their way into compost because of overproduction and lack of market. Moreover, the fruits are either consumed whole or juiced. The core of the fruit is a hairy seed which has little value to …

A Smart Energy-Efficient Hybrid Gait Monitoring System, Elsa Joy Harris

CGU Theses & Dissertations

Triboelectric nanogenerators are devices that harvest mechanical energy from the environment and turn it into electricity. By coupling the effect of contact electrification and electrostatic induction between two materials that come into contact and then separate they can convert the irregular, low frequency, waste biomechanical energy of human motion into useful electrical energy to run small body-worn electronics. This has shown promising results in multiple applications such as self-powered motion and haptic sensing, self-charging micro-storage devices, neuromorphic computing, and designing batteryless circuits to power small wearables. This work will investigate a smart energy-efficient hybrid gait monitoring system that is powered …

Constructing An Interpretable Deep Learning Framework Utilizing Variational Autoencoder Latent Space For Part-Prototype Learning, Shiska Raut

Computer Science and Engineering Theses - Archive

What visual attributes do cats have in common, and what features set them apart from dogs? How are we able to tell the difference between the two? While we do not fully understand the mechanism humans use for object detection, one popular theory suggests that it boils down to identifying distinct visual features specific to each object. For example, all cats have vertical slit-shaped pupils when their eyes are constricted, which is something we do not see in dogs. These slit-shaped pupils are a feature ‘prototypical’ to cats. Object classification is a computer vision task that involves identifying and categorizing …

Amplification-Free Rapid Detection Of Specific Oligonucleotides Through Formation Of Core-Satellite Nanostructures On Solid Substrates, Vineet Kumar Jayakrishnan

Material Science and Engineering Theses - Archive

A rapid, portable, and highly sensitive method for detecting specific pathogens like Covid-19 would be invaluable for public health and emergency responses. The current standards like PCR and RT-PCR, are incredibly sensitive but also time-consuming, require skilled personnel, and demand substantial lab space. Here, we propose an alternative method capable of detecting specific oligonucleotide sequences within just 3 minutes, using a portable silicon or glass substrate (6 mm x 9 mm). We demonstrated this using 67-mer oligonucleotides with a Covid-19 sequence as a model system, achieving a detection sensitivity down to 1 nM. Our approach involves sandwiching target COVID-19 oligonucleotides …

Development Of Advanced Instrumentation For High-Enthalpy Flow Characterization For The Onr-Uta Arc-Jet ”Leste” Facility, Ian Raybon

Mechanical and Aerospace Engineering Dissertations - Archive

Sustained hypersonic flight is an exceedingly challenging task comprised of a myriad of complex physical processes. At hypersonic speeds, which is defined by the presence of unique phenomena like high-temperature nonequilibrium flow, viscous and vorticity interactions, and thin shock layers, which are not seen in supersonic, transonic, or subsonic vehicles, the vehicle design is principally driven by the high levels of aerodynamic heating caused by the conversion of kinetic energy to internal energy. Gaining an understanding of how these physical processes interact with each other is required to develop a design methodology for this class of vehicles. Arc-jet wind tunnels …

Long-Term Simulation Of Stem Cell Mechanobiology, Manoochehr Rabiei

Mechanical and Aerospace Engineering Dissertations - Archive

An accurate representation of cellular mechanobiology necessitates the inclusion of subcellular elements characterized by minute masses and dimensions. These minute objects yield multiscale dynamic models with disproportionate terms, which require inordinate amounts of computational time to simulate. The computational requirements limit the time span of the simulation to time histories shorter than one second, even when employing supercomputers. This work presents a high-speed approach to simulating the mechanobiology of stem cells. The proposed approach separates the computational time from the size, and distribution, of masses of the subcellular elements, enabling the simulation of weeks-long cellular processes within hours on a …

Experimental Study Of Flow Analysis In Single Phase Immersion Cooling Using Tomographic Piv, Vijaya Rama Raju Goriparthi

Mechanical and Aerospace Engineering Theses - Archive

As data centers evolve to support increasing server densities, the inadequacies of traditional air cooling in managing thermal loads have become evident. This is primarily due to an increased demand for powerful CPU and GPU-based platforms that can run Artificial Intelligence (AI) and Machine Learning (ML) workloads amongst others. Consequently, single-phase immersion cooling has gained prominence as an efficient, sustainable alternative, significantly reducing operational costs and energy consumption. This method has shown a remarkable ability to cut cooling energy by up to 90% and overall data center energy use by 50%. The current investigation uses Particle Image Velocimetry (PIV) to …

Investigation Of Bone Structure And Composition Differences In Osteofibrous Dysplasia And Neurofibromatosis Type 1, Farzaneh Fereidouni

Material Science and Engineering Dissertations - Archive

Abstract

Investigation of Bone Structure and Composition Differences in Osteofibrous Dysplasia and Neurofibromatosis Type 1

Farzaneh Fereidouni, Ph.D.

The University of Texas at Arlington, 2024

Supervising Professor: Harry F. Tibbals

Bone genetic diseases such as Osteofibrous Dysplasia (OFD) and Neurofibromatosis type 1 (NF1) present significant challenges, particularly in children, due to their effects on skeletal homeostasis. This study aims to apply advanced material analysis to elucidate the biological disparities associated with OFD and NF1 bone dysplasia and contribute to developing diagnostic protocols and remediation approaches for these and similar bone disorders.

By employing various analytical methods, including analysis of mineral-to-matrix …