Digital Commons Network^™

Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The United States swine industry reports an average preweaning mortality of approximately 16% where approximately 6% of them are attributed to piglets overlayed by sows. Detecting postural transitions and estimating sows’ time budgets for different postures are valuable information for breeders and engineering design of farrowing facilities to eventually reduce piglet death. Computer vision tools can help monitor changes in animal posture accurately and efficiently. To create a more robust system and eliminate varying lighting issues within a day including daytime/ nighttime differences, there is an advantage to using depth cameras over digital cameras. In this study, a computer vision …

Inaugural Future Of Bse Days: Workshop Report, Mark Stone

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

The inaugural Future of BSE Days (FBD) event, held on May 2-3, 2024, brought together the Biological Systems Engineering (BSE) community to discuss and shape the future of work and learning within the field. The event was designed to foster collaboration between faculty, students, industry leaders, and alumni, with the goal of reimagining the department’s educational approach, enhancing industry partnerships, and preparing students for the challenges of tomorrow. Over the course of two days, participants engaged in insightful discussions, workshops, and presentations that highlighted both the strengths of the department and opportunities for growth.

The workshop resulted in several key …

Applications Of Plasmonic Biosensors In Chiral And Achiral Sensing, Aritra Biswas

Graduate Thesis and Dissertation 2023-2024

Monitoring biological systems is crucial in healthcare, driving the need for reliable and noninvasive solutions. The proliferation of unverified drugs in the market necessitates reliable methods for their detection and identification, especially amidst advancements in pharmaceuticals. Plasmonic biosensors emerge as a great platform for ultra-sensitive detection, identification, and manipulation of biomolecular systems. This dissertation report addresses the critical need for precise detection and monitoring of biomolecules and drugs, presenting innovative solutions through the design of a plasmonic biosensor to tackle challenges in sensitivity, selectivity, and label-free detection and identification. We introduce a robust and tunable, cavity-integrated plasmonic nanopatterned sensor that …

Program And Proceedings: Nebraska Academy Of Sciences 1880–2024, 144th Anniversary Year, One Hundred-Thirty-Fourth Annual Meeting

Nebraska Academy of Sciences: Programs and Proceedings

Program

Aeronautics and Space Science

Aeronautics and Space Science Poster Session

Anthropology: Humans Past and Present

Maiben Lecture: "Platte Basin Timelapse: A Watershed in Motion," Grant Reiner

Applied Science and Technology

Biological Sciences

Biomedical Sciences

Chemistry

Earh Sciences

Environmental Sciences

Physics

Science Education

Exploratory Prompting Of Large Language Models To Act As Co-Pilots For Augmenting Business Process Work In Document Classification, Jose Ramon Ilagan, Joseph Benjamin R. Ilagan, Claire Louisse Basallo, Zachary Matthew Alabastro

Quantitative Methods and Information Technology Faculty Publications

Businesses deal with different types of documents containing unstructured documents. The data in these documents must be converted into digital forms other automated systems could only process. One generic use case is document classification, which usually involves manual transformation due to human understanding needed in the process. These documents go beyond those generated through regular business transactions and operations and also include web-based content such as online news, blogs, e-mails, and various digital libraries. Recent developments in robotic process automation (RPA) and artificial intelligence (AI) aim to automate the otherwise expensive, time-consuming, and repetitive manual steps. Through more powerful natural …

Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam

Publications and Research

In breast x-ray imaging scattered radiation adds 50% of harmful radiation dose from anisotropic Compton scattering mechanism. We have been working with double layered inorganic salt materials that can induce Compton scattering to the incident mammographic x ray beams (in 20-30 kVp range) with adequate isotropy (angular control). Typically metal nitrates and alkali halide salt layers are shown here to cause low energy radiation interference zones with high and low photon intensities and local flux heterogeneity in terms of flux covariance. Spatial variation of low energy photon flux creates concentrated and sparse radiation zones that may be used to induce …

The Effects Of Bilateral Stimulation On Motor Learning, Shania Rehmudin

Dissertations and Theses

Motor learning is a set of complex processes aimed at learning and refining new skills by practicing them. There are three proposed stages of motor learning: cognitive, associative, and autonomous. While all stages are crucial, research suggests that the cognitive stage holds particular significance, laying the foundational groundwork for effective skill acquisition. Although research has explored many innovative ways to facilitate motor memory, to our knowledge, none has explored the optimization of motor skill learning through manipulating the focus of attention using bilateral stimulation. Therefore, this study explored the effects of bilateral stimulation on squat skill acquisition. Nineteen (19) subjects, …

Mivt: Medical-Informed Vision Transformer For Early Epilepsy Diagnosis, Md Masum Rana

Dissertations and Theses

Epilepsy is a neurological disorder characterized by recurrent, unprovoked seizures, and early diagnosis is crucial for effective management and treatment. However, the diagnosis of epilepsy, particularly in its early stages, remains challenging due to the subtle nature of seizures and the complexity of brain activity patterns. In this research, we introduce the Medical-Informed Vision Transformer (MIVT), a deep learning architecture specifically designed to improve early epilepsy diagnosis from multimodal neuroimaging data. Our model integrates insights from both medical knowledge and state-of-the-art Vision Transformers (ViTs) to enhance the accuracy and interpretability of seizure detection and localization. The MIVT leverages the rich …

Balloon Model For Water Vapor Ablation Of Non-Muscular Invasive Bladder Cancer Cells, Jennifer Mussell

Dissertations and Theses

Bladder cancer has a considerable issue with multiple recurrences of tumors, and current treatments are unable to adequately address these concerns. This results in continuous surveillance. Ablation, or killing, of bladder cancer cells is often incomplete and results in a high probability of recurrence. This paper aims to evaluate a potential method of ablation using a model that simulates a bladder and what conditions are needed for optimal quality and depth penetration. This balloon model for water vapor ablation is intended to simulate bladder cancer cells and determine if this is a viable avenue for future research. A device from …

Development Of A Modular Lab Automation System With Applications To Animal And Bacteria Cell Culture, Timothy William Hartman

Dissertations and Theses

The challenges faced while executing wet lab protocols encourage the development of automation systems to come alongside human scientists. Today’s cutting-edge experiments involve complex protocols with precise measurements usually performed manually. Even simpler biological protocols can be tedious and prone to error, as was seen during the COVID-19 pandemic and society’s demand for high-volume, rapid sample analysis. Moreover, reproducibility suffers when there is excessive variability and insufficient data. Here, we leveraged the Stanford Biodesign process to develop a modular lab automation system and image analysis workflow to address challenges like these. This flagship automation platform at The University of South …

Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The United States swine industry reports an average preweaning mortality of approximately 16% where approximately 6% of them are attributed to piglets overlayed by sows. Detecting postural transitions and estimating sows’ time budgets for different postures are valuable information for breeders and engineering design of farrowing facilities to eventually reduce piglet death. Computer vision tools can help monitor changes in animal posture accurately and efficiently. To create a more robust system and eliminate varying lighting issues within a day including daytime/ nighttime differences, there is an advantage to using depth cameras over digital cameras. In this study, a computer vision …

Biom 3710: Physiological Systems And Modeling (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Fundamentals of control theory and mathematical modeling and analysis as applied to physiological systems.

Synthesis, Characterization, And Performance Assessment Of Reusable And Biodegradable Antimicrobial Polymeric Membranes For Aerosolized Pathogen Inactivation And Filtration, Ebuka Ogbuoji

Theses and Dissertations--Chemical and Materials Engineering

Air filtration technology has proven effective in purifying air by trapping particulates which can cause adverse health effects. High Efficiency Particulate Air (HEPA) filters, capable of capturing over 99.99% of PM_0.3, are recommended for critical applications. However, conventional non-woven HEPA filters rely on electrostatic interactions to trap smaller particles, which can deplete over time or after cleaning, reducing filtration efficiency and posing health risks. Additionally, these filters contribute to plastic waste.

This dissertation investigated the feasibility of using flat sheet polymeric membranes fabricated via nonsolvent-induced phase separation (NIPS) as reusable and biodegradable alternatives to commercially available non-biodegradable air …

Delphi Panel For Establishing Land Use Compatibility Areas And Standards For Vertiports, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

This study aimed to determine land use compatibility guidelines for vertiports, which are locations where vertical take-off and landing (VTOL) aircraft operate. The study employed a three-round e-Delphi panel to establish vertiport land use compatibility zones and standards. The results reached a consensus of at least 70%, providing comprehensive land use compatibility recommendations for vertiports. The study provides a foundation for vertiport land use compatibility planning, ensuring the integration of vertiports in existing communities. The findings can also increase public and local officials' awareness of the needs and requirements of Advanced Air Mobility (AAM) infrastructure development. The uniformity between existing …

Comparative Analysis Of Aviation And Ground Transportation Safety Standards Applicable To The Integration Of Unmanned Aircraft Operations, Andrew Walker

International Journal of Aviation, Aeronautics, and Aerospace

This study performed a comparative analysis of SMS in both the aviation and ground transportation industries to identify any gaps that may impact aviation safety by incorporating UAS operations within the ground transportation industry. The study reviewed relevant literature and compared the FAA SMS and FMCSA SMC policy components. The study also compared the implementation of OSHA requirements within the aviation and ground transportation industries. After reviewing the relevant policy components, the study finds that differences in safety standards between the FAA SMA and FMCSA SMC would impact safety. The study recommends that the SMC incorporate process descriptions for SRM …

Multivariate Model Of Road Crashes For Vulnerable Users, Jonathan Agüero-Valverde, Darío Vargas Aguilar

Kentucky Transportation Center Presentations

No abstract provided.

Unintended Consequences: Changes In Driver Behavior Associated With The Adoption Of Advanced Driver Assistance Systems, Nischal Gupta, Peter T. Savolainen

Kentucky Transportation Center Presentations

Advanced driver assistance systems (ADAS) are a disruptive precursor to fully autonomous vehicles (AVs), which will have far-reaching impacts on the nature of travel. With various ADAS features becoming increasingly common in vehicles, some unintended changes in driving behavior are expected including engaging in more risk-taking behavior while driving. To that end, the present study utilizes survey-based data of 1,000 Michigan adults and investigates the likelihood of drivers engaging in three different driving behaviors- cell phone use, consumption of alcohol, and tailgating when driving a vehicle with collision alert systems by means of multivariate ordered probit regression analysis. Results showed …

The Impact Of Dissolved Organic Matter On Photodegradation Rates, Byproduct Formations, And Degradation Pathways For Two Neonicotinoid Insecticides In Simulated River Waters, Josephus F. Borsuah, Tiffany L. Messer, Daniel D. Snow, Steven D. Comfort, Shannon Bartelt-Hunt

UK CARES Faculty Publications

The influences of dissolved organic matter (DOM) on neonicotinoid photochemical degradation and product formation in natural waters remain unclear, potentially impacting the sustainability of river systems. Therefore, our overall objective was to investigate the photodegradation mechanisms and phototransformation byproducts of two neonicotinoid pesticides, imidacloprid and thiamethoxam, under simulated sunlight at the microcosm scale, to assess the implications of DOM for insecticide degradation in rivers. Direct and indirect photolysis were investigated using twelve water matrices to identify possible reaction pathways with two DOM sources and three quenching agents. Imidacloprid, thiamethoxam, and potential degradants were measured, and reaction pathways identified. The photodegradation …

The Bear Paws, Nathaniel Neville, Christopher Dimovski

Student Research Design & Innovation Symposium

According to the World Health Organization, there are roughly 250,000 to 500,000 people around the world that suffer from spinal cord injury every year. The demographic with the highest risk for this debilitating injury is young adult males, aged 20 to 29. Currently, there is a lack of assistive technologies that do not rely on the user’s grip. Some current technologies use a locking strap that goes around patient’s fist and require assistance of others to be fully put on. The goal of this assistive design project is to provide a client-specific device to assist with independent dressing tasks. The …

A Wearable Sensing System For High-Speed Interface Of Wide Range Electrochemical Sensor Array, Shanthala Lakshminarayana

Electrical Engineering Dissertations - Archive

Electrochemical sensing systems have emerged as indispensable tools in various fields due to their remarkable sensitivity, selectivity, and versatility. They play a pivotal role in modern research, industry, environmental monitoring, and healthcare devices. In environmental monitoring, these systems are deployed for detecting pollutants, heavy metals, and toxic gases, facilitating real-time monitoring, and ensuring environmental safety. Whereas, in the biomedical field, electrochemical sensing systems play a crucial role in diagnosing diseases, monitoring biomarkers etc, thereby revolutionizing healthcare practices.

Cost-effective wearable electrochemical sensing devices are significant for democratizing healthcare and improving public health outcomes. These devices enable continuous monitoring of physiological parameters, …

Exploring Machine Learning Techniques For Embedded Hardware, Neel R. Vora

Computer Science and Engineering Theses - Archive

This thesis delves into the intricate symbiosis between machine learning (ML) methodologies and embedded hardware systems, with a primary focus on augmenting efficiency and real-time processing capabilities across diverse application domains. It confronts the formidable challenge of deploying sophisticated ML algorithms on resource-constrained embedded hardware, aiming not only to optimize performance but also to minimize energy consumption. Innovative strategies are explored to tailor ML models for streamlined execution on embedded platforms, with validation conducted across various real-world application domains. Notable contributions include the development of a deep-learning framework leveraging a variational autoencoder (VAE) for compressing physiological signals from wearables while …

Stock Price Trend Prediction Using Emotion Analysis Of Financial Headlines With Distilled Llm Model, Rithesh H. Bhat

Computer Science and Engineering Theses - Archive

Capturing the volatility of stock prices helps individual traders, stock analysts, and institutions alike increase their returns in the stock market. Financial news headlines have been shown to have a significant effect on stock price mobility. Lately, many financial portals have restricted web scraping of stock prices and other related financial data of companies from their websites. In this study we demonstrate that emotion analysis of financial news headlines alone can be sufficient in predicting stock price movement, even in the absence of any financial data. We propose an approach that eliminates the need for web scraping of financial data. …

Li-Ion Battery Resistance During External Short Circuits And Cyclic Ageing, Kaynat Zia

Electrical Engineering Dissertations - Archive

External short circuit testing (ESCT) is one of the many steps towards ensuring lithium-ion (Li-ion) batteries are safe for different applications. The nature of testing is sensitive due to the concern of safety and data integrity. Great care and planning must be done before conducting these tests. Bouncing in recorded data is observed in literatures with high sampling rates due to switching and moving mechanical parts. This impacts the estimation accuracy of battery internal parameter values especially the effective ohmic resistance (Ro). This dissertation proposes a zero bouncing circuit design to eliminate this problem. Multi-rate Pulse Discharge Testing (MPDT) is …

Neural Net Estimation Of Discriminants Posterior Probability Vector, Harshvardhan Harshvardhan

Electrical Engineering Theses - Archive

Interpreting multi-layer perceptron (MLP) classifier outputs as posterior probabilities is a well-established practice in machine learning and is supported in the literature. However, several authors point out that MLP outputs are very poor estimates of the posterior probabilities. This is demonstrated for classifiers with and without nonlinear output activation. Achieving this reliability depends on key factors such as model complexity, sufficient training data availability, and optimization techniques' effectiveness. In practice, these requirements are not met, resulting in suboptimal probability estimates. Our approach introduces an innovative method based on the softmax output. The method aim to refine MLP discriminants into more …

Energy Harvesting Face Mask Using A Thermoelectric Generator For Powering Wearable Health Monitoring Sensors, Ugur Erturun, Cansu Yalim, James E. West

Engineering Management & Systems Engineering Faculty Publications

A wearable energy harvester (EH) incorporating a face mask with a thermoelectric generator is demonstrated. The function of this device is to generate electrical power from the heat produced by the human body, particularly breath, with the specific aim of powering wearable sensor applications. A prototype was built using a commercially available N95 face mask, a thermoelectric generator, and a heatsink. The performance of this EH device was assessed using experimental and numerical methodologies. The experimentally tested power output of the prototype was found to be ≈100 µW, with a corresponding power density of ≈30 µW/cm3, for a temperature difference …

Political Prioritization For Digital Health And Health Equity Through Global Health Diplomacy, Vijay Kumar Chattu, Sujatha Alla, Bawa Singh

Engineering Management & Systems Engineering Faculty Publications

[Introduction] We have found the article "Digital health and health equity: How digital health can address healthcare disparities and improve access to quality care in Africa" published in the recent issue to be very relevant and interesting.¹ Qoseem et al have highlighted that there is a great need for continuous advocacy for strengthening the health systems through telehealth promotion and increasing access to healthcare services to achieve health equity.

Quantitative Sustainable Design Of Urban Tree Soil Cells For Stormwater Management, Jamaya Wilson

Theses and Dissertations--Civil Engineering

Urban trees are critical assets to cities around the world. They act as a green infrastructure system to provide various environmental, economic and social benefits to their surrounding environments. However, the quality of life of urban trees is severely threatened by uncontrolled urbanization and climate change. The compaction of urban soils to meet the structural stability requirements for buildings and pavements directly restricts tree growth. Soil cells are green infrastructure placed in tree wells to transfer active and static loads to pavements. This allows for reduced soil compaction and increased tree root expansion. However, because the technology is still in …

Understanding The Construction Workforce Needs Of The Future: Technology, Skills, Diversity, Bassam Ramadan

Theses and Dissertations--Civil Engineering

The U.S. construction industry stands at a crossroads. The looming age cliff is about to present its most serious challenges yet, coinciding with a shortage of qualified skilled professionals. As the demands of the construction industry continue to grow, it continues to lack the manpower to meet those demands. In order to meet the rising demands of construction needs in the near future, the construction industry needs to focus on improving workforce performance and productivity, and increasing the size of the construction labor force. Existing research highlights the importance of technological adoption and workforce skills, and that gender and ethnic …

Web-Based Visualization Of Spatial And Spatio-Temporal Data Using Integrated Datasets, Mohammad Shaito

Computer Science and Engineering Dissertations - Archive

Currently, spatial geographic data can be collected for many applications that involve data on the planet earth. These collected data typically have coordinates (x,y), or longitude and latitude in map space, and thus can be located and displayed on maps. Data alone represents facts and has no meaning on its own but becomes meaningful when it is associated with application knowledge, such as elections, crimes, disease, etc. For example, there is no meaning behind those numbers (1, 23, 125, 355, . . .), yet they are data that can gain meaning when correlated with the total number of cases of …

Bringing "Virtual" To "Reality": Enhancing Security And Usability On Vr System And Applications, Huadi Zhu

Computer Science and Engineering Dissertations - Archive

With the rapid advancements in computer science, electronics, optics, and related fields, virtual reality (VR) gradually penetrates into our daily lives, and is predicted to become a core technology in the near future. Despite its potentials, however, existing designs and solutions for VR applications remain at the infant stage, introducing limited usability and efficiency for real-world users. Besides, the increasing prevalence of VR presents new security and privacy threats due to the vast amount of information stored in or accessible through VR devices. To bridge this gap, we exploit and combine techniques from computer science and human biology, as well …