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A Rigid Body Framework For Modeling And Simulation Of Formation Of Autonomous Agents, Suguru Sato

Mechanical and Aerospace Engineering Theses - Archive

Formation motion, wherein multiple agents operate within close proximity while maintaining precise relative positions and coordinated movements has a significant impact in the realm of Uncrewed Aerial Systems (UAS). Formation establishment, and station-keeping have been critical research areas as several missions can be conceived, and accomplished by groups of “simple” autonomous agents. Advances in this research have led to multiple advantages in areas such as reconnaissance, aerospace exploration, map building, search and rescue, etc. particularly, if the formation motion is inspired by nature and natural phenomena such as flock of birds, school of fish, hydrodynamics (smooth streamlines), magnetic fields, and …

Machine Learning Strategies For Potential Development In High-Entropy Driven Nickel-Based Superalloys, Marium Mostafiz Mou

Graduate Theses/Dissertations

In this study, I developed Deep Learning interatomic potentials to model a multi-phase and multi-component system of Ni-based Superalloys. The system has up to three major phase constituents, namely Gamma, Gamma Prime, and Transition-metal rich Carbide. I utilized invariant scalar-based and/or equivariant, tensor-based neural network (NN) approach as implemented in DEEPMD, NEQUIP/ALLEGRO codes, respectively, and Moment Tensor Potential (MTP). For the training and validation sets, I employed the ab-initio molecular dynamics (AIMD) trajectory results and ground state DFT calculations, including the energy, force, and virial database from highly diverse compositions, temperatures, and pressures following a “High Entropy Strategy.” The Deep …

Prediction Of Single Proppant Terminal Settling Velocity In High Viscosity Friction Reducers By Using Artificial Neural Networks And Xgboost, Xiaojing Ge, Rong Lu, Ghith Biheri, Abdulmohsin Imqam, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

High viscosity friction reducers (HVFRs) have been recently gaining more attention and increasing in use, not only as friction-reducing agents but also as proppant carriers. The settling velocity of the proppant is one of the key outputs to describe their proppant transport capability. However, it is influenced by many factors such as fluid properties, proppant properties, and fracture properties. Many empirical/physics-based models and correlations to predict particle settling velocity have been developed. However, they are usually based on certain assumptions and have applicable limits. In contrast, machine learning models can be considered as a black box. The objective of this …

Soft X-Ray And Susceptibility Based Magnetic Resonance Imaging To Map Iron Distribution In Apples: Initial Results To Model Iron Storage In Water-Deficient Or Dehydrated Biological Tissue, Subhendra Sarkar, Eric Lobel, Evans Lespinasse, Zoya Vinokur, Analia Basilicata, Sonia Orellana, Maria Orellana, Aaliyah Salmon, Joanna Syska, Aravis Mcbroom, Jian Wang, Anam Riaz, Jody-Ann Douglas

Publications and Research

Radiology departments have contributed significantly to greenhouse gases including release of toxic imaging contrast media to environment. We feel Radiology also has several spectroscopy and imaging tools that may apply to monitor and support cleaner environmental goals. The current manuscript is one of the firsts to prompt Radiology to move in that direction by non-invasive imaging of bio metals that are less abundant in biological tissues but play key roles as co-factors in tissue structure and function. Conventional analytical tools are mostly invasive and cannot characterize the native oxidation states of bio metals. We chose carbohydrate matrix of metal-rich fruits …

Data-Driven Biomedicine Investigation Of Genetic And Infectious-Based Diseases Using Omics Data And Data Science Methodologies., Diing De Mapior Agany

Dissertations and Theses

The binary model of existence consists of health and disease, with health being complete physical, mental, and social well-being and disease being a pathological process. Humanity has been plagued by genetic and infectious diseases since civilization's dawn. These diseases cause changes in this model at the system biology level. Omics technologies, data science methodologies, and big data are being used to study these changes at the molecular level, leveraging biological processes' interconnectedness. Also, advanced computational methodologies are essential for efficient analytics and actionable discovery. In this dissertation, genetic and infectious-based diseases are investigated using omics data and data science methods …

Biocybersecurity And Deterrence: Hypothetical Rwandan Considerations, Issah Samori, Gbadebo Odularu, Lucas Potter, Xavier-Lewis Palmer

Community & Environmental Health Faculty Publications

Digitalization and sustainability are popular words within modern disciplines as practitioners each look toward the future of their respective fields. Specifically for the African continent, which is making great strides in developmental targets, those two terms are central to core aspects of policy initiatives that may foster cooperation across its varied lands and nations. One of the underlying challenges that confront Africa is a lack of strong regional integration across socioeconomic and political programs; there is value in African regions having more regional connectedness. We assess the rate of regional integration and development in Africa and discuss how to alleviate …

Comparing Phosphorus Removal Efficiencies And Mechanisms Via Two Cost-Effective Specialty Adsorbents In A Cascade Upflow Filtration System, Sydney Kilgus-Vesely

Honors Undergraduate Theses

Finding solutions to treat water that contains phosphorus is an important effort due to the harmful impacts it presents to both human health and the environment. Phosphorus is considered a limiting factor in water oftentimes and therefore controls the growth of algal bloom in a water body. The increase of algal populations due to wastewater effluent, stormwater runoff, and agricultural discharge in Florida waters has a direct link to the event of harmful algal blooms such as red tide in coastal regions, eutrophication of waterbodies, and fish kills. Finding low cost, energy efficient, and low maintenance green sorption media (GSM) …

A Framework For The Automatic Identification Of Optimized Yield Surface Parameters, Kevin Hanekom

Honors Undergraduate Theses

Advanced engineering materials are designed to display tensile-compressive asymmetry (TCA) and anisotropy to provide unique attributes to critical components necessary in the hot section of turbines. The never-ending chase for higher efficiencies, and with them, higher temperature gradients, intrinsically leads to more and more of these complex materials, like single crystal turbine blades, embedded within the turbine environment. Mathematical models, known as yield criteria, allow engineers to visualize the mechanical behavior of these materials in various orientations under complex loading. Yield criteria are dependent on three key items in determination of their governing parameters: material test data, mathematical constraints, and …

A Framework Of Critical Success Factors For Implementation Of Industry 4.0 In Aerospace And Defense Industries, Lina Khan

Electronic Theses and Dissertations, 2020-2023

The fourth industrial revolution, or Industry 4.0, is essential to the success of Aerospace and Defense (A&D) organizations as it showcases the ability to adapt, innovate, and remain competitive. Industry 4.0 technologies such as cyber-physical systems (CPS), big data, cognitive computing, smart factories, connected manufacturing, and the Internet of Things (IoT) focus on revolutionizing manufacturing through embedding digital and physical systems, with the goal to maximize the desired output(s) while using minimal resources. Although there are numerous advantages, there are challenges associated with implementation of these complex systems. This doctoral research investigates the critical factors needed for successful implementation of …

Variational Autoencoder And Sensor Fusion For Robust Myoelectric Controls, Keith A. Currier

Honors Undergraduate Theses

Myoelectric control schemes aim to utilize the surface electromyography (EMG) signals which are the electric potentials directly measured from skeletal muscles to control wearable robots such as exoskeletons and prostheses. The main challenge of myoelectric controls is to increase and preserve the signal quality by minimizing the effect of confounding factors such as muscle fatigue or electrode shift. Current research in myoelectric control schemes are developed to work in ideal laboratory conditions, but there is a persistent need to have these control schemes be more robust and work in real-world environments. Following the manifold hypothesis, complexity in the world can …

Biom 3010: Medical Measurements (Syllabus), Aaryani Sajja

Biomedical Engineering Syllabi Archive

Course Description: Theory and application of major types of sensors used in biomedical engineering and clinical medicine; principles of signal processing and instrumentation, such as frequency domain analysis, operational amplifiers, and filtration.

Biom 4730 / Mech 4365: Biomaterials, Joel D. Bumgardner

Biomedical Engineering Syllabi Archive

Course Description: Synthetic materials and their interaction with the physiological environment; methods to design and study materials that are compatible with natural tissue.

Biom 4110(Honors)/6110: The Science Of Medicine (Syllabus), Bradford D. Pendley

Biomedical Engineering Syllabi Archive

Course Description: Integration of fundamental principles from physics, chemistry, biology and mathematics, and applications of these principles to solve problems in medicine.

Analysis Of Rna Processing Directly From Spatial Transcriptomics Data Reveals Previously Unknown Regulation, Julia Olivieri, Joshua Salzman

All Faculty Articles - School of Engineering and Computer Science

Technical advances have led to an explosion in the amount of biological data available in recent years, especially in the field of RNA sequencing. Specifically, spatial transcriptomics (ST) datasets, which allow each RNA molecule to be mapped to the 2D location it originated from within a tissue, have become readily available. Due to computational challenges, ST data has rarely been used to study RNA processing such as splicing or differential UTR usage. We apply the ReadZS and the SpliZ, methods developed to analyze RNA process in scRNA-seq data, to analyze spatial localization of RNA processing directly from ST data for …

Bridgewater Magazine, Volume 33, Number 2, Fall 2023, Bridgewater State University

Bridgewater Magazine

Taking Flight: Meet BSU students and alumni from the growing Aviation Science Program. Also in this issue: Two faculty members research the lives and times of early Black and Indigenous local citizens; Faculty researchers recount details of two of the enslaved in Colonial Bridgewater; and Alumna finds career satisfaction in helping others.

Recovery Of Valuable Metals From Electronic Waste Using A Novel Ammonia-Based Hydrometallurgical Process, Peijia Lin

Theses and Dissertations--Mining Engineering

The growing quantity of waste electrical and electronic equipment (WEEE), also known as electronic waste (E-waste), has been an area of growing public concern. The abundance of valuable metals contained in waste printed circuit boards (WPCBs) has made it a promising secondary resource, especially for Cu and Au. Although the recovery of metals from WPCBs via hydrometallurgical routes has been studied extensively over the past 20 years, most of the research has been limited in the laboratory. In current hydrometallurgical processes, strong acids and expensive oxidizers are often used to ensure a high recovery of metals without considering the sustainability …

A Process Intensification Approach To Improve Volatile Fatty Acids Production, Extraction, And Valorization, Can Liu

Theses and Dissertations--Biosystems and Agricultural Engineering

Anaerobic digestion (AD) is a widely used biowaste conversion method. Recent studies have explored arrested methanogenesis as an alternative approach to leverage existing AD facilities and produce volatile fatty acids (VFAs) instead of biogas. VFAs have been recognized as precursors for a range of value-added chemicals and bioproducts. Arrested methanogenesis involves inducing acidic fermentation by halting the AD process before methanogenesis. It has been found that higher organic loading and thermophilic conditions enhance VFA accumulation and stabilize the acidic fermentation (AF) system.

Brewer's spent grain (BSG), a significant by-product of the brewing industry, was employed as the feedstock for VFA …

Swosu Research And Scholarly Activity Fair 2023, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) - Welcome to the Thirtieth SWOSU Research and Scholarly Activity Fair! There are 77poster presentations and 2 oral presentations involving over 130 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors encompassing activities from the SWOSU College of Pharmacy; SWOSU School of Nursing & Allied Health Sciences; and SWOSU Departments of Allied Health Sciences; Art, Communication & Theatre; Biological Sciences; Business; Computer Science; Chemistry & Physics; Engineering Technology; Language & Literature; …

A Critical Approach To Engineering Mathematics Activities For Sustainable Development, Matheus Oliveira De Andrade, Mariam Makramalla

Practice Papers

Engineering projects are frequently experienced through the complexity of knowledge co-production between experts and local communities. This involves an ability to work critically and creatively within unfamiliar epistemologies, drawing from quantitative, social and scientific methods to realise high-impact solutions. In this work-in-progress paper, we put forward a prototype for a case-control study aiming to evaluate student buy-in and learning outcomes for a cross-cultural implementation of critical mathematics approaches contextualised by sustainability challenges. We outline and discuss aspects of mathematical modelling activities that can scaffold an environment where human subjectivity amplifies the quality and relevance of quantitative arguments. As proof-of-concept, we …

The Relationship Between Ventilation Rates In Schools And The Indoor Airborne Transmission Potential Of Covid-19, Seamus Harrington, Mark Mulville, Spyros Stravoravdis

Articles

The requirement for natural ventilation strategies in classrooms to perform in respect to both their inherent and adaptive capacity is necessary to mitigate the risk of transmission associated with infectious airborne pathogens such as COVID-19. This paper assesses the performance of ten classrooms considering (a) the designed versus actual ventilation capacity; (b) the probability of airborne disease transmission by unit time resulting from calculated ventilation rates and (c) the reduction of transmission risk associated with mask wearing by all occupants.

Monitored air changes per hour (ACH) range from 0.26–1.7, demonstrating that none of the classrooms meet designed ventilation rate whilst …

Assessment Of Microplastics In The Surface Water Of Sitio Pulo, Navotas, Metro Manila, Mark Lester C. Galicia, Carl Luis P. Flestado, Jeff Ryan S. Magalong, Ronald Benz L. Rivera, Kim M. Villacorte, William Peter G. Sarmiento, Chester C. Deocaris

Applied Environmental Research

Microplastics are synthetic polymer particles with a length of 5 mm or less with no well-defined lower boundary. These debris particles are known to affect marine and aquatic organisms which poses a threat to biodiversity and marine resources. In this study, the isolated microplastic from the coastal and lagoon surface waters of Sitio Pulo is described. Sitio Pulo is a barrier island mangrove sanctuary located at Brgy. Tanza I, Navotas City surrounded by Manila Bay. The samples collected last July 4 and 25, 2019, were isolated, profiled, and analyzed. A total of four hundred forty-nine (449) microplastic fragments were isolated …

An Urban Tree (Tabebuia Argentea) Exhibits Higher Sensitivity To Environmental Conditions Than An Urban Palm (Ptychosperma Macarthurii) Growing In The Same Roof Garden: An Implication For Sustainable Urban Water Use, Ratchanon Ampornpitak, Prangwilai Khobpee, Weerapong Unawong, Nisa Leksungnoen, Pantana Tor-Ngern

Applied Environmental Research

Roof gardening is popular for increasing green space in cities due to the restricted urban areas. However, when watering plants on a roof garden, one should consider loading capacity of the roof, which may limit water supply to the plants therein. To improve the efficiency in irrigating trees in a roof garden, we evaluated plant water status, represented by midday leaf water potential (ΨL), and leaf gas exchange parameters including stomatal conductance (gs) and net photosynthesis (An) of a tree (Tabebuia argentea, Ta) and a palm (Ptychosperma macarthurii, Pm) species, which dominate the garden. …

Impact Of Covid-19 Nationwide Lockdowns And Unlock Phases In India On River Water Quality Of Upper Part Of The Ganga River, Dhara Kakwani, Abha Kumari, Kumar Suranjit Prasad, Bablu Prasad

Applied Environmental Research

The river water quality index (RWQI) of the upper Ganga canal has been computed to assess the effect of lockdown and unlock phases lead down by COVID-19 in India. Geospatial distribution of RWQI from January 2019 to December 2021 in the study area revealed significant impacts of lockdown on water quality. However, unlock phases (post lockdown) have deteriorated water quality since August 2020 and reached to actual conditions of the river by August 2021. To evaluate the lockdown as a management strategy to clean the river, other factors were reviewed including rainfall data, migration, and other activities. The results revealed …

Creating Portfolio Management Concepts For Highly Agile And Innovative Government Research Programs Using Design Thinking And Learn Start Up Methodologies, Vanessa Aubuchon, Resit Unal, Pilar Pazos, Holly Handley, Cindy Daniels

Engineering Management & Systems Engineering Faculty Publications

Managing a research and development (R&D) portfolio presents numerous challenges, such as prioritizing research areas, remaining agile, strategic workforce planning, and measuring return on investment, impact, and innovation. One government R&D program is charged with producing a high degree of innovative, transformational breakthroughs in aviation technology. A practical, structured methodology for strategically prioritizing emerging aviation R&D in such an environment is lacking. The existing multi-criteria decision aid tools are primarily utilized at an enterprise level, take months to set up and collect data, require large teams of experts, are used on an infrequent basis, and are not conducive to a …

Implementing Effective University - Level Small Satellite Assembly, Integration, And Testing Procedures, Tyler Patrick Hoover

Masters Theses

"As applications for satellite assets grow within government and commercial spheres, demand for aerospace engineers and related technicians has pushed universities to develop graduates with relevant knowledge in the field. As such, universities began to grow university satellite programs to give members hands-on experience and a background of working on satellite systems before entering the workforce.

The M-SAT team at Missouri University of Science and Technology, along with contributions and assistance from the Air Force Research Laboratory and NASA, are progressing their first satellite mission through assembly, integration, and testing (AIT) development. This document serves to give a background into …

Tropospheric Correction For Insar Using Machine Learning, Ngo Hi Kenny Yue

Masters Theses

"Interferometric Synthetic Aperture Radar (InSAR) is a popular technique for studying Earth's surface deformation caused by phenomena like earthquakes and subsidence. However, its accuracy is limited by tropospheric delays caused by water vapor in the atmosphere. This limitation can be overcome by using methods that correct for tropospheric noise, such as statistical, empirical, and predictive approaches. This study explores the potential of using machine learning algorithms to predict the zenith total delay caused by tropospheric effects in InSAR measurements. The study employs two different machine learning algorithms, random forest and neural networks, to learn the relationship between numerical weather prediction …

Optimizing The Placement Of Multiple Uav--Lidar Units Under Road Priority And Resolution Requirements, Zachary Michael Osterwisch

Masters Theses

"Real-time road traffic information is crucial for intelligent transportation systems (ITS) applications, like traffic navigation or emergency response management, but acquiring such data is tremendously challenging in practice because of the high costs and inefficient placement of sensors. Some modern ITS applications contribute to this problem by equipping vehicles with multiple light detection and ranging (LiDAR) sensors, which are expensive and gather data inefficiently; one solution that avoids vehicle-mounted LiDAR acquisition has been to install elevated LiDAR instruments along roadways, but this approach remains unrefined. The eventual development of sixth-generation (6G) wireless communication will enable new, creative solutions to solve …

Drainage And Sedimentary Response Of The Northern Andes And The Pebas System To Miocene Strike-Slip Tectonics: A Source To Sink Study Of The Magdalena Basin, S. Zapata, L. Calderon-Diaz, C. Jaramillo, Francisca Oboh-Ikuenobe, J. C. Piedrahita, M. Rodríguez-Cuevas, A. Cardona, E. R. Sobel, M. Parra, V. Valencia, A. Patiño, J. S. Jaramillo-Rios, M. Flores, J. Glodny

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Miocene strike-slip tectonics was responsible for creating and closing short-lived (ca. 6 Ma) passages and the emergence of isolated topography in the Northern Andes. These geological events likely influenced the migration and/or isolation of biological populations. To better understand the paleogeography of the Miocene hinterland and foreland regions in the Northern Andes, we conducted a source-to-sink approach in the Magdalena Basin. This basin is located between the Central and Eastern Cordilleras of Colombia and contains an ample Miocene record, which includes Lower Miocene fine-grained strata and Middle Miocene to Pliocene coarsening-up strata. Our study presents a new data set that …

3d-Printed Hydrogels Dressings With Bioactive Borate Glass For Continuous Hydration And Treatment Of Second-Degree Burns, Fateme Fayyazbakhsh, Michael J. Khayat, Candy Sadler, Delbert Day, Yue-Wern Huang, Ming-Chuan Leu

Biological Sciences Faculty Research & Creative Works

Recent advances in additive manufacturing have led to the development of innovative solutions for tissue regeneration. Hydrogel materials have gained significant attention for burn wound treatment in clinical practice among various advanced dressings due to their soothing and moisturizing activity. However, prolonged healing, pain, and traumatic removal due to the lack of long-term wound hydration are some of the challenges in the treatment of second-degree burn wounds. In this study, 3D-printed dressings were fabricated using gelatin, alginate, and bioactive borate glass (BBG) using an extrusion-based bioprinter. After ionic crosslinking, the 3D-printed dressings were characterized for mechanical properties, degradation rate, hydration …