Engineering Commons^™

Analysis Of A Full-Stack Data Analytics Solution Delivering Predictive Maintenance To A Lab-Scale Factory, Nathan Wesley Hoyt

Theses and Dissertations

With the developments of industry 4.0, data analytics solutions and their applications have become more prevalent in the manufacturing industry. Currently, the typical software architecture supporting these solutions is modular, using separate software for data collection, storage, analytics, and visualization. The integration and maintenance of such a solution requires the expertise of an information technology team, making implementation more challenging for small manufacturing enterprises. To allow small manufacturing enterprises to more easily obtain the benefits of industry 4.0 data analytics, a full-stack data analytics framework is presented and its performance evaluated as applied in the common industrial analytics scenario of …

Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP), but also biodegradable to address current ecological challenges of electronic waste. Among different device technologies and materials, memristive synaptic devices based on natural organic materials have emerged as the favorable candidate to meet these demands. The metal-insulator-metal structure is analogous to biological synapse with low power consumption, fast switching speed and simulation of synaptic plasticity, while natural organic materials are water soluble, renewable and environmentally friendly. …

Spotlight Report #6: Proffering Machine-Readable Personal Privacy Research Agreements: Pilot Project Findings For Ieee P7012 Wg, Noreen Y. Whysel, Lisa Levasseur

Publications and Research

What if people had the ability to assert their own legally binding permissions for data collection, use, sharing, and retention by the technologies they use? The IEEE P7012 has been working on an interoperability specification for machine-readable personal privacy terms to support this ability since 2018. The premise behind the work of IEEE P7012 is that people need technology that works on their behalf—i.e. software agents that assert the individual’s permissions and preferences in a machine-readable format.

Thanks to a grant from the IEEE Technical Activities Board Committee on Standards (TAB CoS), we were able to explore the attitudes of …

Midfoot Motion And Stiffness: Does Structure Predict Function?, Kirk Evans Bassett

Theses and Dissertations

In clinical settings, dynamic foot function is commonly inferred from static and passive foot measurements; however, there is little evidence that static foot structure can predict dynamic foot function during walking gait. Previous research seeking to find correlations between the two have focused primarily on sagittal plane midfoot angles even though the midfoot has triplanar motion, which misses potentially important information. Additionally, the focus on kinematics alone may miss the contributions that forces play in midfoot mechanics. To address the angle limitations, a novel Signed Helical Angle (SHA) was developed to capture the triplanar motion of the midfoot from a …

Methodologies For Quantum Circuit And Algorithm Design At Low And High Levels, Edison Tsai

Dissertations and Theses

Although the concept of quantum computing has existed for decades, the technology needed to successfully implement a quantum computing system has not yet reached the level of sophistication, reliability, and scalability necessary for commercial viability until very recently. Significant progress on this front was made in the past few years, with IBM planning to create a 1000-qubit chip by the end of 2023, and Google already claiming to have achieved quantum supremacy. Other major industry players such as Intel and Microsoft have also invested significant amounts of resources into quantum computing research.

Any viable computing system requires both hardware and …

Computational Methods To Simulate Molten Salt Thermophysical Properties, Talmage Porter, Michael M. Vaka, Parker Steenblik, Dennis Della Corte

Faculty Publications

Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of the full chemical space is unfeasible. Computational methods provide an alternative route to access these properties. Here, we summarize the developments in methods over the last 70 years and cluster them into three relevant eras. We review the main advances and limitations of each era and conclude with an optimistic perspective for the next decade, which will likely be …

The Tertiary Sequence Of Varkala Coastal Cliffs, Southwestern India: An Ideal Site For Global Geopark, K. S. Sajinkumar, M. Santosh, V. R. Rani, Subhash Anand, A. P. Pradeepkumar, Anil Chavan, K. P. Thrivikramji, P. V. Ramachandran

Michigan Tech Publications, Part 1

Varkala, along the southwestern coast of Peninsular India, has a unique place in Indian geology and geomorphology due to the presence of coastal lateritic cliffs, which exposes the entire Mio-Pliocene sequence of Warkalli Formation, and is declared as the type area. Stratigraphically, this formation exposes carbonaceous clay with lenses of lignite and sticks of marcasite, followed by variegated clays and sandstone. The presence of variegated lithounits endows beauty to these cliffs. Varkala cliffs, edging the Arabian Sea, run for a length of 7.5 km. These cliffs, together with confined beaches, made Varkala a popular tourist destination. Several geodiversity spots within …

A New Approach To Machine Learning Hardware Classifier Design Based On Functional Decomposition Of Multi-Valued Functions, Saad Mohammad Al-Askaar

Dissertations and Theses

This dissertation presents a novel design of a hardware classifier based on combining modified Ashenhurst-Curtis Decomposition and multiplexer-based synthesis. The PSUD classifier brings three new contributions: an approach to solve the column multiplicity problem, an approach to encode multiple-valued variables, and a decomposition algorithm based on modified Ashenhurst-Curtis Decomposition. One of the biggest challenges in Boolean function decomposition is the variable partitioning problem. Thus, we introduce a new representation of two combined classifiers for multiple-valued functions to overcome the variable partitioning problem which allows finding the minimal column multiplicity and consequently to find high quality decompositions leading to a good …

A Direct-Read, A Posteriori Golden Copy Method For Measuring Soc Cache Upsets, Evan D. Poff

Theses and Dissertations

A method for measuring system-on-a-chip (SoC) cache upsets is presented and evaluated. In contrast to methods that predict cache contents through analysis or memory access patterns, this method uses system registers to read cache memories directly, thereby creating and checking golden copies to detect individual memory upsets during operation. The test method is driven by the device under test itself and does not require a user to set or know a priori the cache contents. A bare-metal implementation of this “direct golden method” on a Zynq UltraScale+ MPSoC logged upsets in the device’s data cache, data tag, and TLB RAM …

Tracing Geochemical Sources And Health Risk Assessment Of Uranium In Groundwater Of Arid Zone Of India, P. Pandit, Atul Saini, Sabarathinam Chidambaram, Vinod Kumar, Banjarani Panda, A. L. Ramanathan, Netrananda Sahu, A. K. Singh, Rohit Mehra

Nebraska Water Center: Faculty Publications

Water quality degradation and metal contamination in groundwater are serious concerns in an arid region with scanty water resources. This study aimed at evaluating the source of uranium (U) and potential health risk assessment in groundwater of the arid region of western Rajasthan and northern Gujarat. The probable source of vanadium (V) and fluorine (F) was also identified. U and trace metal concentration, along with physicochemical characteristics were determined for 265 groundwater samples collected from groundwater of duricrusts and palaeochannels of western Rajasthan and northern Gujarat. The U concentration ranged between 0.6 and 260 μg L⁻¹ with a mean …

Mit Newsletter-June 2022, Anil Rana Dr.

Faculty work

No abstract provided.

Collage Art Therapy Bot, Roland Afaga, Dyllon Au, Jeremy Victor Reyes, Alayna Wong

Computer Science and Engineering Senior Theses

Our Collage Art Therapy Bot is an application that utilizes collage therapy to help users navigate their feelings and give them a better understanding of themselves. Unlike other forms of art therapy, collage therapy is much more inclusive and does not require any artistics skill that may intimidate users from participating. The user interface is split into three sections: the photo library, the chat bot, and the photo collage. The user can scroll through the library and pick the photos that they feel connected to. Then, the chatbot prompts the user to tell it what made them choose the photo. …

Large Scale Database Audio Collection Of Tuberculosis Patients: : The Ekifuba Test, Jt Vinolus, Daniela De La Torre, Aimee Kerr, Jordan Randleman

Computer Science and Engineering Senior Theses

One of the top 10 causes of death, 1.5 million people die from tuberculosis (TB) every year. And yet, in 2018, 1.7 billion people were infected with the disease (“Global Health - Newsroom - Tuberculosis.”). This 99.99% recovery rate demonstrates that, when treated with antibiotics, TB is an extremely curable condition, but an early diagnosis is critical to surviving the illness. Developing countries face the largest hurdles to accessing TB screening technologies, and they make up a disproportionately high fraction of worldwide TB deaths. A possible solution to this problem would be to use machine learning (ML) to detect TB …

On-Line Process Physics Tests Via Lyapunov-Based Economic Model Predictive Control And Simulation-Based Testing Of Image-Based Process Control, Henrique Oyama, Akkarakaran Francis Leonard, Minhazur Rahman, Govanni Gjonaj, Michael Williamson, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Next-generation manufacturing involves increas- ing use of automation and data to enhance process efficiency. An important question for the chemical process industries, as new process systems (e.g., intensified processes) and new data modalities (e.g., images) are integrated with traditional plant automation concepts, will be how to best evaluate alternative strategies for data-driven modeling and synthesizing process data. Two methods which could be used to aid in this are those which aid in testing data-based techniques on-line, and those which enable various data-based techniques to be assessed in simulation. In this work, we discuss two techniques in this domain which can …

Numerical Investigation Of Sediment Flushing And Morphological Changes In Tamsui River Estuary Through Monsoons And Typhoons, Tung Chou Hsieh, Yan Ding, Keh Chia Yeh, Ren Kai Jhong

Faculty and Student Publications

The removal of reservoir silt and the restoration of existing reservoir capacities through land excavation and hydraulic sediment flushing have become necessary. Hydraulic sediment flushing discharge changes flow and sediment conditions of the downstream river channel. In the Tamsui River estuary in Taiwan, sediment flushing from the Shihmen reservoir upstream has potential impacts on the morphology of the navigation channels and the adjacent coasts. This study employed a validated coastal and estuarine processes model to investigate: (1) the influence of sediment flushing and tidal levels on morphological changes during flood and flushing‐discharge operations of the reservoir, and (2) the differences …

Illuminator, Volume 5, Issue 2, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

June 2022 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.

Discrepancies In Changes In Precipitation Characteristics Over The Contiguous United States Based On Six Daily Gridded Precipitation Datasets, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Variability and spatiotemporal changes in precipitation characteristics can have profound socioenvironmental impacts. Several studies have shown that the frequency and/or magnitude of precipitation events have changed over the contiguous United States (CONUS) in the past decades. Most previous studies used only one precipitation dataset and only investigated mean or extreme precipitation. Here, using 6 gridded daily precipitation datasets, we show that there are substantial discrepancies in the changes in characteristics of both extreme and non-extreme precipitation events from 1983 to 2017. Our results highlight that using a single record to study precipitation changes can potentially lead to biased results. Using …

Quantum Computing And Resilient Design Perspectives For Cybersecurity Of Feedback Systems, Keshav Kasturi Rangan, Jihan Abou Halloun, Henrique Oyama, Samantha Cherney, Ilham Azali Assoumani, Nazir Jairazbhoy, Helen Durand, Simon Ka Ng

Chemical Engineering and Materials Science Faculty Research Publications

Cybersecurity of control systems is an important issue in next-generation manufac- turing that can impact both operational objectives (safety and performance) as well as process designs (via hazard analysis). Cyberattacks differ from faults in that they can be coordinated efforts to exploit system vulnerabilities to create otherwise unlikely hazard scenarios. Because coordination and targeted process manipulation can be characteristics of attacks, some of the tactics previously analyzed in our group from a control system cybersecurity perspective have incorporated randomness to attempt to thwart attacks. The underlying assumption for the generation of this randomness has been that it can be achieved …

Fracture Response Of Wollastonite Fiber-Reinforced Cementitious Composites: Evaluation Using Micro-Indentation And Finite Element Simulation, Sami Doner, Gideon A. Lyngdoh, Sumeru Nayak, Sumanta Das

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

The paper presents indentation studies on wollastonite fiber incorporated cementitious systems. The acicular nature of the fibers is poised to delay the coalescence of micro-cracks in such systems thus leading to tougher building materials. Towards that end, load-penetration depth results from the indentation studies are employed to ascertain elastic and fracture properties of wollastonite-incorporated cementitious composites. While up to 10% mass-based cement-replacement by wollastonite results in comparable elastic moduli as compared to conventional binders, the fracture toughness increases by as much as 33%. In order to gain insights into the toughening mechanisms brought about by the fine fibers, a microstructure-guided …

Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rutting from studded tire wear is a typical pavement distress in cold climates such as that of Alaska and other northern states. Current state-of-the-art advancements in material technology and concrete pavement design have allowed for implementation of improved materials and concrete pavement sections that are more resistant to rutting. The addition of supplementary cementitious materials (SCMs) has been identified as one effective way to produce concrete pavements with better abrasion resistance. The objective of this study was to identify and develop concrete pavement mix designs containing SCMs that can provide excellent abrasion resistance and durability to address rutting from studded …

A Novel Electroconductive Nanofibrous Scaffold For Bone Regeneration, Mitchell Kenter

Medical Engineering Theses

The goal of this study was to develop a biodegradable and conductive scaffold to mimic the piezoelectric properties of bone and the architecture of the extracellular matrix. Poly(3,4- ethylenedioxythiophene) (PEDOT) is a conductive polymer of great interest in tissue engineering due to excellent electrical stability and biocompatibility. To enhance its conductivity, dopants such as dimethyl sulfoxide (DMSO) can be added. Engineered graphene oxide (GO) can also be introduced as oxidant to enhance conductivity and mechanical properties. PEDOT nanocomposites were synthesized by oxidative polymerization of 3, 4-Etylenedioxythiophene monomer (EDOT) in the presence of GO, DMSO, ferric chloride and various solvents. The …

Coevolution Of Machine Learning And Process-Based Modelling To Revolutionize Earth And Environmental Sciences: A Perspective, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support. In this perspective, we assert that the cultural barriers between the ML and PBM communities limit the potential of ML, and even its ‘hybridization’ with PBM, for EES applications. Fundamental, but often ignored, differences between ML and PBM are discussed as well as their strengths and weaknesses in light of three overarching modelling objectives in …

Comparing Oranges Versus Grapes As A Metaphor Of The Nurse+Engineer, Daniel B. Oerther, Sarah Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Process Support Building Savannah River Site, Victoria Zawacki

Fire Protection Engineering: Culminating Experience Project Reports

A report on the fire and life safety analysis of the Savannah River Site Process Support Building is required in order to receive a Master of Science in Fire Protection Engineering from the California Polytechnic State University, San Luis Obispo. The Process Support Building is a two-story office building that was first occupied in 2013, with a floor area of approximately 10,000 ft2. The building contains mainly personal offices, but also contains conference and turnover rooms, a Computer Simulation Room, an Observation Room, and a lunch area. The analysis includes both prescriptive and performance-based analysis.

The Process Support Building is …

Dietary Practices During Pregnancy In A Marshallese Community: A Mixed Methods Analysis, Britni Ayers, Cari A. Bogulski, Ashlea Bennett-Milburn, Anna Fisher, Morda Newton, Pearl A. Mcelfish

Industrial Engineering Faculty Publications and Presentations

Dietary practices during pregnancy play a pivotal role in the health of women and their children and set the foundation for long-term health. Marshallese women have disproportionally higher rates of maternal and infant health disparities, yet little is known about the dietary practices during their pregnancy. The purpose of this study was to identify dietary practices during pregnancy among Marshallese women. From March 2019 to March 2020, a purposive sample of 33 pregnant Marshallese participants participated in a mixed methods study. Two primary themes emerged: (1) traditional beliefs about a healthy diet during pregnancy; and (2) dietary change during pregnancy. …

Oliveai, Beckett Johnson, Alex Lewis, Ben Kummert

Computer Science and Engineering Senior Theses

Generative adversarial networks are being used to make original, AI generated content in many contexts, whether they are generating new works of art from a text description, or a completely fake person. Currently this technology is not being implemented in a way such that a user can practically interact with it in a way where users can actually use what is generated to improve their lives. We introduce OliveAI to explore a possible implementation of generative AI technology that users can practically and usefully interact with. OliveAI is a web app where users can provide a desired type of food …

Data-Driven And Multiscale Modeling Of Dna-Templated Dye Aggregates, Austin Biaggne, Lawrence Spear, German Barcenas, Maia Ketteridge, William B. Knowlton, Bernard Yurke, Lan Li

Materials Science and Engineering Faculty Publications and Presentations

Dye aggregates are of interest for excitonic applications, including biomedical imaging, organic photovoltaics, and quantum information systems. Dyes with large transition dipole moments (μ) are necessary to optimize coupling within dye aggregates. Extinction coefficients (ε) can be used to determine the μ of dyes, and so dyes with a large ε (>150,000 M⁻¹) should be engineered or identified. However, dye properties leading to a large ε are not fully understood, and low-throughput methods of dye screening, such as experimental measurements or density functional theory (DFT) calculations, can be time-consuming. In order to screen large datasets of molecules …

Amber: Ai Music Based Emotion Regulation, Xavi Anderhub, Uma Bahl, Betty Hou, David Krakauer

Computer Science and Engineering Senior Theses

Music recommendations from apps are traditionally based on attributes like popularity or trendiness. While this method of recommending music may work for finding music in general, it does not address the granularity with which human emotions can change day to day, or even hour to hour. AMBER provides an accessible way to discover and listen to new music that matches one’s emotions in real time using the Spotify music platform and AI. Preliminary test results indicate that users found the music AMBER recommended to be more in line with the emotions they were feeling or wanted to feel. Future developments …

Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Viscosity of cement-based materials incorporating manufactured sand is affected by the content and physical properties of the microfines in the sand. However, some of the mechanisms affecting the viscosity remain unclear. This paper investigates the effect of microfine type and content on the apparent viscosity (ηapp) and residual viscosity in/near pseudo-Newtonian regime (ηrespse−New) of cement pastes. Limestone (LS), slate (ST), and tuff (TF) microfines with different specific surface areas were investigated. Test results showed that, by deducting the greater contribution of yield stress to ηapp when using finer microfines, the increase of ηrespse−New at a given PCE dosage was mainly …

Cross-Issue Correlation Based Opinion Prediction In Cyber Argumentation, Md Mahfuzer Rahman, Xiaoqing "Frank" Liu, Joseph W. Sirrianni, Douglas J. Adams

Computer Science and Computer Engineering Faculty Publications and Presentations

One of the challenging problems in large scale cyber-argumentation platforms is that users often engage and focus only on a few issues and leave other issues under-discussed and under-acknowledged. This kind of non-uniform participation obstructs the argumentation analysis models to retrieve collective intelligence from the underlying discussion. To resolve this problem, we developed an innovative opinion prediction model for a multi-issue cyber-argumentation environment. Our model predicts users’ opinions on the non-participated issues from similar users’ opinions on related issues using intelligent argumentation techniques and a collaborative filtering method. Based on our detailed experimental results on an empirical dataset collected using …