Engineering Commons^™

Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (Ts and Tc) to estimate surface energy fluxes including Rn, H, LE, and G. The estimation of Ts and Tc components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely …

To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (u_star), and wind speed, all of which influence the dimensions and orientation of the footprint. The …

Estimation Of Autoregressive Parameters From Noisy Observations Using Iterated Covariance Updates, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

Estimating the parameters of the autoregressive (AR) random process is a problem that has been well-studied. In many applications, only noisy measurements of AR process are available. The effect of the additive noise is that the system can be modeled as an AR model with colored noise, even when the measurement noise is white, where the correlation matrix depends on the AR parameters. Because of the correlation, it is expedient to compute using multiple stacked observations. Performing a weighted least-squares estimation of the AR parameters using an inverse covariance weighting can provide significantly better parameter estimates, with improvement increasing with …

Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling

Publications

Warming and thawing in the Arctic are promoting biogeochemical processing and hydrologic transport in carbon‐rich permafrost and soils that transfer carbon to surface waters or the atmosphere. Hydrologic and biogeochemical impacts of thawing are challenging to predict with sparse information on arctic soil hydraulic and thermal properties. We developed empirical and statistical models of soil properties for three main strata in the shallow, seasonally thawed soils above permafrost in a study area of ~7,500 km² in Alaska. The models show that soil vertical stratification and hydraulic properties are predictable based on vegetation cover and slope. We also show that …

Estimation Of Evapotranspiration And Energy Fluxes Using A Deep-Learning-Based High-Resolution Emissivity Model And The Two-Source Energy Balance Model With Suas Information, Alfonso F. Torres-Rua, Andres Ticlavilca, Mahyar Aboutalebi, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Joseph Alfieri, Lawrence Hipps, Lynn Mckee, William Kustas, Calvin Coopmans, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Surface temperature is necessary for the estimation of energy fluxes and evapotranspiration from satellites and airborne data sources. For example, the Two-Source Energy Balance (TSEB) model uses thermal information to quantify canopy and soil temperatures as well as their respective energy balance components. While surface (also called kinematic) temperature is desirable for energy balance analysis, obtaining this temperature is not straightforward due to a lack of spatially estimated narrowband (sensor-specific) and broadband emissivities of vegetation and soil, further complicated by spectral characteristics of the UAV thermal camera. This study presents an effort to spatially model narrowband and broadband emissivities for …

Quantitative Assessment Of Contested Water Uses And Management In The Conflict-Torn Yarmouk River Basin, Nicolas Avisse, Amaury Tilmant, David E. Rosenberg, Samer Talozi

Civil and Environmental Engineering Faculty Publications

The Yarmouk River basin is shared between Syria, Jordan, and Israel. Since the 1960s, Yarmouk River flows have declined more than 85% despite the signature of bilateral agreements. Syria and Jordan blame each other for the decline and have both developed their own explanatory narratives: Jordan considers that Syria violated their 1987 agreement by building more dams than what was agreed on, while Syria blames climate change. In fact, because the two countries do not share information, neither on hydrological flows nor on water management, it is increasingly difficult to distinguish between natural and anthropogenic factors affecting the flow regime. …

Isolation And Selective Glycosylation Of Antisalmonellal Anthraquinones From The Stem Bark Of Morinda Lucida Benth. (Rubiaceae), Napoleon A. Mfonku, James A. Mbah, Norbert Kodjio, Donatien Gatsing, Jixun Zhan

Biological Engineering Faculty Publications

In this work we report the isolation, identification and antibacterial activity of two anthraquinones, 2-hydroxy-1-methoxyanthraquinone (1) and 2,5-dihydroxy-1-methoxy-6-methoxymethylanthraquinone (2), from the stem bark of Morinda lucida. These two natural products were selectively converted into two new glycosylated derivatives, 2-hydroxy-1-methoxyanthraquinone-4′-O-methyl-2-O-β-d-glucopyranoside (3) and 2,5-dihydroxy-1-methoxy-6-methoxymethylanthraquinone-4′-O-methyl-2-O-β-d-glucopyranoside (4) by the filamentous fungus Beauveria bassiana ATCC 7159. Structure elucidation was accomplished based on the 1D and 2D NMR, IR and mass spectra. The glycosylated compounds 3 and 4 showed higher in vitro antibacterial activity against Salmonella enterica subsp. enterica sérovars Typhimurim (MIC of 8 μg/mL each) than the corresponding aglycons 1 and 2 (MIC of …

Integrating Hydrologic Modeling Web Services With Online Data Sharing To Prepare, Store, And Execute Hydrologic Models, Tian Gan, David G. Tarboton, Pabitra Dash, Tseganeh Z. Gichamo, Jeffery S. Horsburgh

Civil and Environmental Engineering Faculty Publications

Web based applications, web services, and online data and model sharing technology are becoming increasingly available to support hydrologic research. This promises benefits in terms of collaboration, computer platform independence, and reproducibility of modeling workflows and results. In this research, we designed an approach that integrates hydrologic modeling web services with an online data sharing system to support web-based simulation for hydrologic models. We used this approach to integrate example systems as a case study to support reproducible snowmelt modeling for a test watershed in the Colorado River Basin, USA. We demonstrated that this approach enabled users to work within …

Big Data Management For Secured Smart Healthcare System: A Machine Learning Framework, Abrar Zahin

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Human action recognition and monitoring are a significant part of a smart healthcare system, which allows us to remotely monitor the behavior of patients or elderly persons to record their daily activities and to ensure safety. Ubiquitous smart wearable sensors are becoming convenient for generating and transmitting those healthcare data for further processing. Interpretation of such huge amount of data requires advanced learning systems where most important information can be extracted and analyzed. For example, current classification algorithms are not robust enough to differentiate among numerous variations of human actions due to the lack of sufficient processed samples. Thus, one …

Improvement Of Ultraviolet Digital Image Correlation (Uv-Dic) At Extreme Temperatures, Thinh Quang Thai

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Extreme temperature has increasingly played an essential role in design and operation of various engineering applications including spacecraft re-entry, hypersonic flight, next-generation nuclear reactors, and hot-fire rocket testing. To protect instruments against the harsh environments, it is preferable to use non-contacting measurements when monitoring the integrity of those mechanical structures. Digital Image Correlation (DIC) is a popular method which uses digital cameras in order to track motion thanks to images acquired before and after deformation. Displacements and strains are plotted over a full-field region which is conducive to identify highly risky zones. At high temperature, objects emit light which interferes …

Advancing Space Flight Medical Care Through On-Demand Protein Therapeutic Production Capabilities, Emily Long Zhao

Utah Space Grant Consortium

Cell-free protein synthesis (CFPS) is an in vitro protein synthesis system that provides a uniquely adaptable platform for protein production. In recent years, lyophilization of CFPS have expanded the capabilities of this system by improving reagent stability outside of cold-chain storage. This project sought to utilize lyophilized CFPS reagents to develop a convenient, shelf-stable, on-demand therapeutic protein production platform. The therapeutic protein production potential of this novel platform was demonstrated by the successful expression of an FDA approved therapeutic protein. With the advancement of shelf-stable, on-demand protein therapeutic production platforms comes the potential to provide point-of-care medical treatment for space-flight …

Aerodynamic Interactions Of Synchronized Propellers, Nathan Welker, Samuel Johnson

Utah Space Grant Consortium

Emerging advances in electric-propulsion technology are enabling aircraft to use distributed electric propulsion (DEP) to increase efficiency and maneuverability. Distributed electric propulsion can also provide unique take-off and landing abilities which are not commonly found on traditional aircraft. The implementation of DEP effectively decreases the spacing between propellers, introducing complex aerodynamic interactions that are not well understood. This study aims to obtain experimental measurements of the flow fields of synchronized propellers at close-proximity in a side-by-side configuration using particle image velocimetry (PIV) in a wind tunnel. The results of this work will be focused on identifying the impact closely-spaced propellers …

Comparison Of Wake Expansion Methods For Use In Wake Expansion Continuation Optimization, Jared J. Thomas

Utah Space Grant Consortium

This paper presents a comparison of three methods for expanding the wake for use with wake expansion continuation (WEC) optimization. A process related to continuation optimization methods for reducing multi-modality in the wind farm layout optimization problem. A reduction in multi-modality is achieved by starting with an increased wake spread, while maintaining normal velocity deficits at the center of the wakes, and then reducing the wake spread for each of a series of optimization runs until the standard wake spread is used. Three wake expansion methods were tested: (1) increasing the wake expansion angle, (2) multiplying the wake diameter, and …

Monte-Carlo Methods And The Step-Back Kalman Filter For Orbital State Estimation, Louis Tonc

Utah Space Grant Consortium

This research assesses the performance of filtering schemes for tracking uncooperative satellites through space-based optical measurements, and identifies a simple and numerically stable methodology that ameliorates the poor performance of standard filtering schemes at a substantially reduced cost in comparison to nonlinear particle filter-based remedies. Traditional filtering schemes, such as the extended Kalman filter (EKF) and unscented Kalman filter (UKF), both diverge when tracking a resident space object (RSO) in geosynchronous orbit (GEO) when there is a long time duration between measurements. This divergence is identified as a consequence of nonlinearity in the dynamics and nonlinearity in the optical measurements, …

One-Dimensional Turbulence Modeling Of Soot Formation And Transport In Non-Premixed Turbulent Flames, Victoria B. Stephens

Utah Space Grant Consortium

Soot modeling in turbulent flames involves tightly coupled problems of combustion chemistry, particle transport, compressible fluid dynamics, and turbulence behavior in addition to soot chemistry and transport. Significant uncertainties accompany soot modeling and transport in such systems, hindering progress toward accurate combustion models and predictive simulation tools. The one-dimensional turbulence (ODT) model, using a stochastic approach to turbulence modeling, captures the full range of length and time scales in a simulation and provides detailed statistical data of the flow con-figuration, chemistry, and particle transport. Previously, ODT has demonstrated accuracy and computational efficiency compared to direct numerical simulation (DNS) of turbulent, …

Ultra-Low Power Adcs For Space Sensors And Instruments, Shea Smith, Wood Chiang

Utah Space Grant Consortium

A 28nm 0.1V 10-bit 2kS/s Successive Approximation Register ADC design is proposed. This design opens the doors to both low supply and low power space sensors and instruments. Due to the stringent voltage supply unique challenges arise that are met with innovation in the sample switch and comparator design. These components of the ADC architecture are optimized to perform successfully at a 0.1V supply with a sample rate suitable for most sensor applications.

Development Of An Inertial Measurement-Based Assessment Of Disease Severity In Chronic Fatigue Syndrome, Turner Palombo, Suzanne Vernon, Shad Roundy

Utah Space Grant Consortium

While myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is relatively new and poorly understood, a recent upsurge in research has identified the disease’s core symptoms, including post-exertional malaise and orthostatic intolerance. The FDA has yet to approve any treatments for ME/CFS, partially due to a lack of validated efficacy endpoints.

The central focus of this research is to develop ME/CFS efficacy endpoints using a non-invasive, inertial measurement-based approach. Accessible endpoints will provide a way to properly evaluate potential treatments for ME/CFS. Using a Kalman filter, inertial measurement unit (IMU) data can be converted to optimized leg angle estimates. These angle estimates can …

Validating A Finite Element Model With Ansys Workbench For Isotruss® Structures Subject To Uniaxial Compression, Hanna B. Opdahl

Utah Space Grant Consortium

The purpose of this study is to develop, verify, and validate a finite element (FE) model of IsoTruss® structures subject to uniaxial compression. The FE model is implemented in ANSYS WorkBench and verified using axial stiffness and critical buckling loads that are derived from traditional mechanics. The buckling failure modes include global buckling and local bay buckling. The predictions from the FE model and mechanics calculations are validated by experimental data generated in preceding studies. Results indicate that the effective material modulus is highly affected by variations in manufacturing. Adjustment factors are applied to the nominal material properties to accurately …

An Examination Into The Defining Characteristics Of Flexible Solar Aircraft Configurations Through Optimization, Taylor Mcdonnell

Utah Space Grant Consortium

This paper examines the defining characteristics of various solar aircraft configurations through gradient-based multidisciplinary design optimization. We first present a general gradient-based solar aircraft optimization framework which accounts for nonlinear aeroelastic effects resulting from structural flexibility. We then apply this framework to several discrete SR-HALE aircraft geometric, structural, and propulsion system configuration choices to determine the defining characteristics of each configuration choice.

Improving Technologies In Anesthesia, Patrick Kolbay, Joseph Orr

Utah Space Grant Consortium

General anesthesia is well known to offer physicians access to a broad variety of invasive procedures otherwise deemed too risky. Anesthesia machines provides the means for anesthetizing patients safely in the hospital operating room. However, these devices are increasingly unable to meet the demands and needs outside of the hospital. Developing countries struggle to purchase and maintain these costly devices, leading to a 40-fold increase in anesthesia-related deaths compared to developed countries. Small-office practices in the United States experience significantly poorer anesthesia outcomes and increased legal claims versus their larger hospital counterparts, resulting in 60% more anesthesia-related deaths. Environmental impacts …

Masking And Detecting Radiation-Induced Errors In Sram-Based Fpgas Through Partial Circuit Replication, Andrew M. Keller

Utah Space Grant Consortium

Radiation found in terrestrial and space environments can induce errors into SRAM-based FPGAs. Replication of circuitry can be used mask and detect these errors to improve reliability or availability. This work advances the understanding and implementation of partial circuit replication in SRAM-based FPGAs. Partial circuit replication is the replication of a subset of the components in a circuit. A reliability model is presented that evaluates the reliability benefit of partial circuit replication. The model suggests that the reliability benefit is inversely related to the portion of the circuit replicated. A partial triple module redundancy case study is also presented that …

Leveraging Commercial Nuclear Reactors To Power Space Exploration, Ben Johnson

Utah Space Grant Consortium

This study is aimed at exploring the adaptation of commercial nuclear reactors as an alternative to NASA’s current high-power fission reactor systems, particularly with respect to applications on the surface of Mars. The study concludes that while the Kilopower architecture is brilliantly poised to provide affordable, near-term power in the 1-10 kilowatts electric (kWe) range, the financial barrier to higher power scaling of such systems is significant. This financial barrier adds risk to the development of greater than 10kWe systems and is likely to result in the failure to successfully scale the technology to higher powers for space exploration applications. …

Model Reference Predictive Adaptive Control For Large Scale Soft Robots, Phillip Hyatt, Curtis Johnson

Utah Space Grant Consortium

Past work has shown Model Predictive Control (MPC) to be an effective strategy for controlling continuum joint soft robots using rudimentary models, however the in-accuracies of these models often mean that an integration scheme must be combined with MPC. Presented in this work is a novel dynamic model formulation for continuum joint soft robots which is more accurate than the authors’ previous models yet remains fast enough for MPC. This model is based on the Piecewise Constant Curvature (PCC) assumption and a relatively new configuration representation and allows for computationally efficient simulation. Due to the difficulty in determining model parameters …

Three-Dimensional Hydrodynamic Focusing For Integrated Optofluidic Detection Enhancement, Eric Scott Hamilton

Utah Space Grant Consortium

Integrated optofluidics are ideal for high sensitivity detection due to the size of device features being near the small scale of sample particles (10 microns). Novel integrated optofluidic designs enable single molecule detection through hydrodynamic focusing, making the approach ideal for low concentration biosensing. Detection was enhanced and device operation characterized. Further enhancement is promised with optimization of existing designs.

Ensuring Extramobile And Intramobile Motion On Cylindrical Developable Mechanisms, Jared Butler

Utah Space Grant Consortium

Developable mechanisms offer the ability to deploy to perform tasks then return to a hidden position along or interior to a predetermined developable surface. It is often advantageous for these mechanisms to not penetrate the surface along which they conform. This paper presents the limits of extramobile and intramobile motion (motion exterior to and interior to a developable surface). Three conditions are identified that determine a limit of extramobile and intramobile behavior. It is shown that the more difficult of these conditions to predict is never reached prior to the more simple cases. This is demonstrated for all possible Grashof …

Influence Of Electrode Height On Carbon Nanotube Electrochemical Biosensors, Benjamin J. Brownlee

Utah Space Grant Consortium

High sensitivity of electrochemical sensors enables the detection of low concentrations of target analyte. Being able to quickly and accurately detect low concentrations of proteins at point-of-care allows for results to be analyzed more easily and effectively. Having high surface area allows for more analyte to be detected, possibly leading to increased sensitivity. Vertically-aligned carbon nanotubes (VACNTs) were patterned into interdigitated electrodes (IDEs) and then functionalized with the representative protein streptavidin to demonstrate sensing of biotin. Three electrode heights were investigated to determine the influence of electrode height on sensor sensitivity. Cyclic voltammetry and electrochemical impedance spectroscopy were used to …

Evolutionary Nonlinear Model Predictive Control On A Fixed-Wing And Multirotor, Jaron Ellingson, Matthew Haskell

Utah Space Grant Consortium

Real-time model predictive control (MPC) is limited to short time horizons and linear systems because the optimization complexity is too large with long time horizons and nonlinear systems. For this reason, MPC is typically accomplished using linearized models and convex optimization solvers. We seek to explore evolutionary algorithms allowing for nonlinear models and constraints, non-convex costs, and extended time horizons.

Our contributions include extending nonlinear evolutionary MPC to flight vehicles, fixed-wing and multirotor UAVs, as well as enhancing the evolutionary algorithm. We also intend to parameterize the design space of the optimization to reduce solve times. These contributions validate the …

Flash Lab: A High-Speed Imaging Laboratory, Cody D. Hatch

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

To help students become better acquainted with high-speed instrumentation and measurement techniques, a high-speed imaging laboratory for the College of Engineering is equipped with a high-speed camera and schlieren imaging device. The laboratory will be used for labs in classes, such as Instrumentation, Thermal/Fluids Lab, Experimental Solids, and Mechanical Experiments. In addition, graduate students will use it for research purposes. The laboratory also has the potential to have a course associated with it that would include the image processing techniques for a variety of applications (e.g., a course on high-speed imaging). The scope of this project will be to create …

Spectral Absorption Coefficient Of Additive Manufacturing Polymers, Nicholas J. Wallace, Matthew R. Jones, Nathan B. Crane

Utah Space Grant Consortium

As NASA turns to additive manufacturing processes, there is a need to ensure that the parts they produce are reliable. This is especially true when creating parts in space, where resources are limited and failure could result in catastrophe. Active thermography has shown potential as a non-destructive quality assurance technique for additive manufacturing processes. Heat transfer models used in active thermography techniques require accurate material property measurements in order to extract useful information about the system, including defect location. The spectral absorption coefficient, which determines the depth at which radiative power is absorbed into a surface, is a material property …

Investigating Novel Biomarkers Associated With Aki Diagnosis And Risk, Lars Lofgren, Natalie Silverton

Utah Space Grant Consortium

Acute kidney injury (AKI) is a common complication associated with cardiac surgery. Those patients who develop AKI have increased hospital costs, hospital LOS and odds of death. The current diagnostic criteria rely on serum creatinine measurements and urine output data. Serum creatinine is not renal specific. It is known that there are other factors that influence serum creatine concentrations other than renal injury. Serum creatinine levels are measured as concentrations which means large changes in fluid balance may alter the serum creatinine measurement. Urine output is not a reliable measurement of renal injury either. During surgery it is common to …