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2023

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Articles 3451 - 3480 of 9780

Full-Text Articles in Engineering

Construction Semantics And Generative Pre-Trained Transformer (Gpt) Language Models, Ankur Mitra, Ahmed Hassan, Mark Mulville Jul 2023

Construction Semantics And Generative Pre-Trained Transformer (Gpt) Language Models, Ankur Mitra, Ahmed Hassan, Mark Mulville

Articles

The article explores the impact of ChatGPT, a powerful language model developed by OpenAI, on the construction industry. ChatGPT, with its ability to provide contextually accurate responses to a wide range of queries, has the potential to enhance safety, scheduling, and knowledge dissemination in construction. While it shows promise in tasks like hazard recognition and project scheduling, the article emphasizes the need for cautious optimism and human oversight. The construction industry could benefit from ChatGPT's digital assistance to boost productivity and address skills shortages, but it is essential to recognize the value of human expertise alongside AI advancements.

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High Performance Scene Generator For Testing Of Imaging Sensors, Austin Modoff Jul 2023

High Performance Scene Generator For Testing Of Imaging Sensors, Austin Modoff

Electrical Engineering Theses and Dissertations

Since the invention of modern solid-state imaging sensors in the 1980s, considerable advancements have been made, improving aspects such as frequency response, dynamic range, resolution, and wavelength diversity, as well as inventing many different types of sensor architectures such as framing sensors and event sensors. While considerable improvements in this field are evolving every day, the methods by which to test and validate these systems remain unchanged. Many of these test platforms require specialized designs to test only one or two specific qualities. For example, a spinning disk in front of a black body source to measure the frequency response …

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Tribological Behavior Of Polydopamine/Polytetrafluoroethylene Coating On Laser Textured Stainless Steel With Hilbert Curves, Firuze Soltani-Kordshuli, Nathaniel Harris, Min Zou Jul 2023

Tribological Behavior Of Polydopamine/Polytetrafluoroethylene Coating On Laser Textured Stainless Steel With Hilbert Curves, Firuze Soltani-Kordshuli, Nathaniel Harris, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Shallow Hilbert curve patterns with easily programmable texture density were selected for laser texturing of stainless steel substrates. Two different texture path segment lengths (12 and 24 mu m) and four different laser power percentages (5%, 10%, 15%, and 20%) were investigated. The textured and smooth substrates were coated with thin polydopamine/polytetrafluoroethylene (PDA/PTFE) coatings for tribological property assessment. The effects of texture density (texture area coverage) and laser power on the durability and friction of the coated surfaces were studied. Laser texturing the substrates improved the coating durability up to 25 times, reduced the friction coefficient, and prevented coating global …

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Magnetic Softness Tuned Superparamagnetic Nanoparticles For Highly Efficient Cancer Theranostics, Jie Wang Jul 2023

Magnetic Softness Tuned Superparamagnetic Nanoparticles For Highly Efficient Cancer Theranostics, Jie Wang

Theses and Dissertations

Magnetic resonance imaging (MRI)-guided magnetic nanofluid hyperthermia (MNFH) using iron oxide based superparamagnetic nanoparticles (SPNPs) has recently attracted considerable attention as a treatment modality for cancer theranostics, because MRI-guided MNFH can allow for diagnosis, therapeutics, and prognosis simultaneously using the same administrated magnetic nanofluid agent. However, several primary limiting factors: (1) insufficient AC magnetic heating induction (specific loss power/intrinsic loss power, SLP/ILP) at the biologically safe and physically tolerable range of AC magnetic field (HAC,safe: fappl × Happl < 3.0 ~ 5.0×109 A·m-1·s-1), (2) low r2- relaxivity directly related to the low resolution of …

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Asset Cueing Nuclear Radiation Anomaly Detection Using An Embedded Neural Network Resource, April Inamura Jul 2023

Asset Cueing Nuclear Radiation Anomaly Detection Using An Embedded Neural Network Resource, April Inamura

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Nuclear radiation detection is inherently a challenging task, coupled with a high background variation or increase in anomalies, the accuracy for detection can plummet. A key factor in the success of nuclear detection hinges on the sensor’s ability to generalize its model and directly leads to the model’s robustness. The goal of this project is to develop algorithms suitable for use on the University of Nebraska-Lincoln’s Pingora chip, a low-power, system-on-chip device with an active neural processing unit (NPU) made for nuclear radiation detection. The thesis aims to improve Pingora’s overall generalization ability in nuclear radiation source detection. A multiphase …

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Mapping Ecotourism Potential In Bangladesh: The Integration Of An Analytical Hierarchy Algorithm And Geospatial Data, Muhallil Abtahee, Afra Anika Islam, Md. Nazmul Haque, Hasan Zonaed, Samiha Mahzabin Ritu, S. M. Imdadul Islam, Atiq Zaman Jul 2023

Mapping Ecotourism Potential In Bangladesh: The Integration Of An Analytical Hierarchy Algorithm And Geospatial Data, Muhallil Abtahee, Afra Anika Islam, Md. Nazmul Haque, Hasan Zonaed, Samiha Mahzabin Ritu, S. M. Imdadul Islam, Atiq Zaman

Civil Engineering Faculty Publications

The significance of ecotourism has been increasing due to its potential for biodiversity preservation, economic advancement, and the promotion of sustainability awareness. In this research, geospatial analysis and the Analytical Hierarchy Process (AHP) was employed to identify feasible ecotourism sites in Bangladesh. The study applied Geographical Information System–Remote Sensing (GIS-RS) parameters and weighted overlay techniques for selected ecotourism characteristics, such as natural attractiveness, topographic features, accessibility, proximity to facilities, and community characteristics. The study found that a significant proportion (around 44%) of Bangladesh’s land exhibits high potential for ecotourism. Cox’s Bazar, Chittagong, and Rangamati are particularly favorable ecotourism locations. However, …

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Cost Estimation Trends For Major Defense Acquisition Programs, Sammantha Jones, Edward D. White, Jonathan D. Ritschel, Shawn M. Valentine Jul 2023

Cost Estimation Trends For Major Defense Acquisition Programs, Sammantha Jones, Edward D. White, Jonathan D. Ritschel, Shawn M. Valentine

Faculty Publications

The authors use both descriptive and inferential techniques to investigate average and standard deviation trends in cost estimates for major defense acquisition programs (MDAPs) grouped into decades from the 1970s to 2010s. For total program-cost-growth factors (CGFs), the 2010s exhibited lower CGFs compared to the 1990s. For the program-acquisition-unit cost (PAUC) CGFs, the 2010s appear lower than the 1990s and borderline lower than the 1970s. A statistically significant decreasing trend in the standard deviations of total program CGFs throughout the decades was identified. This lowering variability trend also appeared for PAUC CGFs from the 1980s onward. This finding appears to …

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Domain Restriction Zones: An Evolution Of The Military Exclusion Zone, Cole M. Mooty, Robert A. Bettinger, Mark G. Reith Jul 2023

Domain Restriction Zones: An Evolution Of The Military Exclusion Zone, Cole M. Mooty, Robert A. Bettinger, Mark G. Reith

Faculty Publications

Since the early part of the twenty-first century, US adversaries have expanded their military capabilities within and their access to new warfighting domains. When faced with the growth of adversaries’ asymmetric capabilities, the means, tactics, and strategies previously used by the US military lose their proportional effectiveness. To avoid such degradation of capability, the operational concept of the military exclusion zone (MEZ) should be revised to suit the modern battlespace while also addressing the shifts in national policy that encourage diplomacy over military force. The concept and development of domain restriction zones (DRZs) increase the relevancy of traditional MEZs in …

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Accurate Covariance Estimation For Pose Data From Iterative Closest Point Algorithm, Rick H. Yuan, Clark N. Taylor, Scott L. Nykl Jul 2023

Accurate Covariance Estimation For Pose Data From Iterative Closest Point Algorithm, Rick H. Yuan, Clark N. Taylor, Scott L. Nykl

Faculty Publications

One of the fundamental problems of robotics and navigation is the estimation of the relative pose of an external object with respect to the observer. A common method for computing the relative pose is the iterative closest point (ICP) algorithm, where a reference point cloud of a known object is registered against a sensed point cloud to determine relative pose. To use this computed pose information in downstream processing algorithms, it is necessary to estimate the uncertainty of the ICP output, typically represented as a covariance matrix. In this paper, a novel method for estimating uncertainty from sensed data is …

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Pectus Carinatum Patient Brace Data, Brandon Scott Sargent, Katie Varela, Dennis Eggett, Emily Mckenna, Christina Bates, Rebeccah Brown, Victor Garcia, Larry Howell Jul 2023

Pectus Carinatum Patient Brace Data, Brandon Scott Sargent, Katie Varela, Dennis Eggett, Emily Mckenna, Christina Bates, Rebeccah Brown, Victor Garcia, Larry Howell

ScholarsArchive Data

Data for the journal article "Modeling of the chest wall response to prolonged bracing in pectus carinatum" submitted to PLOS One in 2023 by Sargent et al. The data is a recording of prescribed brace pressures, patient reported hours of wear, and clinician recorded pressure to correct through the treatment process. The data file was compiled via Microsoft Excel as part of the Microsoft 365 Office Suite. The top row of each sheet within the file is the header line with the data in all subsequent rows. The journal article contains an in-depth definition of the variables used in the …

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On The Stability Of Rubble Mound Structures Under Oblique Wave Attack, Meysam Bali, Amir Etemad-Shahidi, Marcel R. A. Van Gent Jul 2023

On The Stability Of Rubble Mound Structures Under Oblique Wave Attack, Meysam Bali, Amir Etemad-Shahidi, Marcel R. A. Van Gent

Research outputs 2022 to 2026

Slope stability formulae for rubble mound structures are usually developed for head-on conditions. Often, the effects of oblique waves are neglected, mainly because it is assumed that for oblique wave attack, the reduction in damage compared to perpendicular wave attack is insignificant. When the incident waves are oblique, the required armour size can be reduced compared to the perpendicular wave attack case. Therefore, it is important to consider the wave obliquity influence on slope stability formulae as a reduction factor. One of the most recent formulae for estimating the stability of rock-armoured slopes, referred to as Etemad-Shahidi et al. (2020), …

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The Role Of Lithium In The Aging Precipitation Process Of Al-Zn-Mg-Cu Alloys And Its Effect On The Properties, Jing-Ran Sun, Bai-Xin Dong, Hong-Yu Yang, Shi-Li Shu, Feng Qiu, Qi-Chuan Jiang, Lai-Chang Zhang Jul 2023

The Role Of Lithium In The Aging Precipitation Process Of Al-Zn-Mg-Cu Alloys And Its Effect On The Properties, Jing-Ran Sun, Bai-Xin Dong, Hong-Yu Yang, Shi-Li Shu, Feng Qiu, Qi-Chuan Jiang, Lai-Chang Zhang

Research outputs 2022 to 2026

It is well known that the development of lightweight alloys with improved comprehensive performance and application value are the future development directions for the ultra-high-strength 7xxx series Al-Zn-Mg-Cu alloys used in the aircraft field. As the lightest metal element in nature, lithium (Li) has outstanding advantages in reducing the density and increasing the elastic modulus in aluminum alloys, so Al-Zn-Mg-Cu alloys containing Li have gained widespread attention. Furthermore, since the Al-Zn-Mg-Cu alloy is usually strengthened by aging treatment, it is crucial to understand how Li addition affects its aging precipitation process. As such, in this article, the effects and mechanism …

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Tio2 Coating Methods On Sb2o3 And Their Use As Anode Material In Lithium-Ion Batteries, Kithzia Czarina Gomez Jul 2023

Tio2 Coating Methods On Sb2o3 And Their Use As Anode Material In Lithium-Ion Batteries, Kithzia Czarina Gomez

Theses and Dissertations

The following thesis is concentrated on the development of TiO2Sb2O3 composite material through the hydrolysis of TiCl4 to be applied as anode material for lithium-ion batteries. Antimony (Sb) has been a material of interest due to its high capacity and good chemical properties. The TiO2 accommodated the harsh volume expansion that Sb encounters during the alloying process while still preserving the high capacity offered by Sb. Its electrochemical performance exhibited a stabilized capacity of 523 mAhg-1 after reaching 40 cycles with a capacity loss of 2.4% till reaching 100 cycles. High reversible capacity characteristics were present with an initial capacity …

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A Dynamical Systems Approach To Characterizing Brain–Body Interactions During Movement: Challenges, Interpretations, And Recommendations, Derek C. Monroe, Nathaniel T. Berry, Peter C. Fino, Christopher K. Rhea Jul 2023

A Dynamical Systems Approach To Characterizing Brain–Body Interactions During Movement: Challenges, Interpretations, And Recommendations, Derek C. Monroe, Nathaniel T. Berry, Peter C. Fino, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Brain–body interactions (BBIs) have been the focus of intense scrutiny since the inception of the scientific method, playing a foundational role in the earliest debates over the philosophy of science. Contemporary investigations of BBIs to elucidate the neural principles of motor control have benefited from advances in neuroimaging, device engineering, and signal processing. However, these studies generally suffer from two major limitations. First, they rely on interpretations of ‘brain’ activity that are behavioral in nature, rather than neuroanatomical or biophysical. Second, they employ methodological approaches that are inconsistent with a dynamical systems approach to neuromotor control. These limitations represent a …

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A Robotic System For In-Situ Measurement Of Soil Total Carbon And Nitrogen, Husein Harun Jul 2023

A Robotic System For In-Situ Measurement Of Soil Total Carbon And Nitrogen, Husein Harun

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Surges in the cost of fertilizer in recent times coupled with the environmental effects of their over-application have driven the need for farmers to optimize the amount of fertilizer they apply on the farm. One of the key steps in determining the right amount of fertilizer to apply in a given field is measuring the amount of nutrients present in the soil. To ascertain nutrient deficiencies, most farmers perform wet chemistry analysis of soil samples which requires a lot of time and is expensive. In this research project, a robotic system was designed and developed that could autonomously move to …

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Creep Resistance And Microstructure In Binary Aluminum Cerium Alloy Produced By Laser Powder Bed Fusion, Jillian Ann Stinehart Jul 2023

Creep Resistance And Microstructure In Binary Aluminum Cerium Alloy Produced By Laser Powder Bed Fusion, Jillian Ann Stinehart

Master's Theses (2009 -)

Currently, the only commercially available aluminum alloy for additive manufacturing (AM) is AlSi10Mg, which is not suitable for high temperature applications. Al-Ce based alloys have been shown to be highly printable, cost-efficient alloys. Compared to cast Al-Ce alloys, the eutectic features are refined (<1μm), which give AM Al-10Ce favorable strength and ductility at room temperature. The low diffusivity and solubility of cerium in aluminum improve the retention of mechanical properties at high temperatures. In order to quantify the effect of cerium on the thermal stability of AM aluminum and show its suitability for high-temperature applications, Al-10Ce was creep tested between 60-77% of its absolute melting temperature. The creep performance of AM Al-10Ce was favorable compared to that of cast binary Al-Ce and AM AlSi10Mg and was comparable to that of cast ternary Al-Ce alloys. The stress exponent, n, was approximately 1 in the low stress regime and 5-7 in the high stress regime. The activation energy was 231kJ/mol. In comparison, both cast binary Al-Ce and AM AlSi10Mg have higher stress exponents and lower activation energies, showing AM Al-10Ce to be more creep resistant. After creep testing, slight grain coarsening was observed, while grain orientation remained unchanged. The melt pool boundaries (MPBs) faded in appearance after creep testing, and the number of columnar grains decreased.

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Dynamic Tire Response And The Effect On Roughness-Induced Vehicle Energy Dissipation, Gabriela Ann Lukanus Jul 2023

Dynamic Tire Response And The Effect On Roughness-Induced Vehicle Energy Dissipation, Gabriela Ann Lukanus

Master's Theses (2009 -)

Vehicle dynamics models rely on accurate inputs to quantify dynamic loading and energy dissipation to design pavement structures and assess the environmental impacts. The tire’s response to loading is one of the inputs used in these models, and it is typically represented by a linear spring and dashpot connected in parallel. However, tires are made of rubber, a viscoelastic material, so their load response depends on the excitation frequency. Yet, existing models do not incorporate this parameter. This thesis will first examine the load response and its variation with excitation frequency of two truck tires – a dual tire assembly …

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Deep Learning Classification Of Deep Ultraviolet Fluorescence Images For Margin Assessment During Breast Cancer Surgery, Tyrell To Jul 2023

Deep Learning Classification Of Deep Ultraviolet Fluorescence Images For Margin Assessment During Breast Cancer Surgery, Tyrell To

Master's Theses (2009 -)

Breast-conserving surgery (BCS) is a widely used treatment for breast cancer, but ensuring the complete removal of cancer cells from the surgical margins remains a challenge. Deep ultraviolet (DUV) fluorescence scanning microscopy offers a potential solution by providing real-time whole-surface imaging of resected tissues during BCS. However, interpreting DUV images for margin assessment requires an automated classification method. This dissertation addresses this need by proposing a deep learning-based classification approach for DUV fluorescence images in intra-operative margin assessment of breast cancer.To overcome the limited availability of DUV image datasets and potential over- fitting, the study combines patch-level classification using transfer …

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Reducing Porosity In Lpbf Ti-6al-4v By Parameter Optimization And Low Temperature Hot Isostatic Pressing Cycle, Penn Rawn Jul 2023

Reducing Porosity In Lpbf Ti-6al-4v By Parameter Optimization And Low Temperature Hot Isostatic Pressing Cycle, Penn Rawn

Master's Theses (2009 -)

Powder bed based additive manufacturing has advantages in its ability to make specialized parts with complex geometries. Unfortunately, components made through such processes of suffer from manufacturing defects including porosity. To study pore formation and removal, specimens of Ti-6Al-4V were built at varied levels of laser power, travel speed, hatch spacing, and layer thickness to obtain a variety of initial defect populations. The specimens were then subjected to a hot isostatic pressure (HIP) at 850 °C and 200 MPa to evaluate the low temperature high pressure (LTHP) cycle’s ability to remove pores. Image analysis was used to estimate the relative …

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Engineering Heterogeneous Nucleation During Solidification Of Multiphase Cast Alloys: An Overview, Simon (Semen) N. Lekakh, Jingjing Qing Jul 2023

Engineering Heterogeneous Nucleation During Solidification Of Multiphase Cast Alloys: An Overview, Simon (Semen) N. Lekakh, Jingjing Qing

Materials Science and Engineering Faculty Research & Creative Works

The theory of heterogeneous nucleation was initially developed as a part of condensed matter physics, and later it was used as an important engineering tool to design metallurgical processes. This success has led to wide applications of the theory in metallurgical practice. For example, engineering heterogeneous nucleation in ductile iron has been used to reduce shrinkage defects, suppress cementite formation, and modify the size and shape of microstructural constituencies. This demonstrates how theoretical knowledge could benefit industry practice. This overview aims to summarize the authors' published studies in co-authorship with colleagues and students, which covers different aspects of engineering heterogeneous …

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Initial Investigation Of Using The Waste Rubber Tires As A New Sustainable Material For Electric Conductive Rigid Pavement, Islam Radwan Jul 2023

Initial Investigation Of Using The Waste Rubber Tires As A New Sustainable Material For Electric Conductive Rigid Pavement, Islam Radwan

Theses and Dissertations

The accumulation of snow on roadway surfaces has the potential to result in deadly accidents and financial damage. Traditional de-icing procedures, which include the use of chemicals or salt and the use of heavy machinery, may have a negative effect on the environment and the structural integrity of highway infrastructure systems, and they are not sustainable at all. In addition, these methods are considered labor-intensive and dangerous, especially in crowded areas. The use of heated pavement systems (HPS), which can be in the form of hydronic (HHPS) or electrically conductive concrete (ECON), has gained popularity in recent years as a …

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Impacts Of Land Use On Stormwater Runoff In The Lower Rio Grande Valley And Improving Long Term Municipal Stormwater Management Systems, Maria Vanessa Pruneda Jul 2023

Impacts Of Land Use On Stormwater Runoff In The Lower Rio Grande Valley And Improving Long Term Municipal Stormwater Management Systems, Maria Vanessa Pruneda

Theses and Dissertations

Exponentially noticeable growth in population and land development in the Lower Rio Grande Valley has directly influenced growth in urbanization. Urbanization is the leading cause for lower pervious cover, and the increase in storm water runoff. The increase of storm water runoff leads to excess flooding areas and higher peak flows. The overflow flows freely and is exposed to contaminants, affecting the consumption and use factors. The changes of land use have a direct relationship with impervious cover limitations and individual site retentions. This study will assess the relationship between stormwater quantity and land use in the Lower Rio Grande …

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Utrgv Edinburg Campus Two-Dimensional Flood Modeling For Development Of Flood Inundation Map, Roxana Tello Jul 2023

Utrgv Edinburg Campus Two-Dimensional Flood Modeling For Development Of Flood Inundation Map, Roxana Tello

Theses and Dissertations

Severe flooding is a natural hazard worldwide, potentially subjecting people to life threatening situations and leaving infrastructure vulnerable to structural damage or complete destruction. The common threat of flooding poses constant challenges for state and local agencies in identifying flood risks and proposing the necessary mitigation improvements. Developing hydraulic models to predict the hydrological interactions and identify areas at risk is a beneficial tool for urban planning. The Lower Rio Grande Valley (LRGV) is a rapid growing region in South Texas along the border of Mexico and west of the Gulf of Mexico. The LRGV has historically suffered through various …

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A Data-Driven Method For Damage Detection In An Open Deck Steel Truss Railroad Bridge Under The Moving Train Load, Mahesh Pokhrel Jul 2023

A Data-Driven Method For Damage Detection In An Open Deck Steel Truss Railroad Bridge Under The Moving Train Load, Mahesh Pokhrel

Theses and Dissertations

Open-Deck (OD) steel truss railroad bridges are one of the most common types of railroad bridges in the United States. They are, however, significantly vulnerable to the dynamic effects of moving train load. In the long run, these dynamic effects cause fatigue damage to the structural members. The damage in most of the railroad bridges are monitored by visual inspections which are sometimes unreliable and inconsistent due to human error. This study explores the identification and classification of damage to an open deck railroad bridge from both time-domain (statistical features) and time-frequency domain features (Hilbert-Huang Transform) extracted through acceleration response …

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Image Segmentation With Human-In-The-Loop In Automated De-Caking Process For Powder Bed Additive Manufacturing, Vincent Opare Addo Asare-Manu Jul 2023

Image Segmentation With Human-In-The-Loop In Automated De-Caking Process For Powder Bed Additive Manufacturing, Vincent Opare Addo Asare-Manu

Theses and Dissertations

Additive manufacturing (AM) becomes a critical technology that increases the speed and flexibility of production and reduces the lead time for high-mix, low-volume manufacturing. One of the major bottlenecks in further increasing its productivity lies around its post-processing procedures. This work focuses on tackling a critical and inevitable step in powder-bed additive manufacturing processes, i.e., powder cleaning or de-caking. Pressing concerns can be raised with human involvement when performing this task manually. Therefore, a robot-driven automatic powder cleaning system could be an alternative to reducing time consumption and increasing safety for AM operators. However, since the color and surface texture …

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Measurements Of Ear-Canal Geometry From High-Resolution Ct Scans Of Human Adult Ears, Auden P. Balouch, Karen Bekhazi, Hannah E. Durkee, Rebecca M. Farrar, Mealaktey Sok, Douglas H. Keefe, Aaron K. Remenschneider, Nicholas J. Horton, Susan E. Voss Jul 2023

Measurements Of Ear-Canal Geometry From High-Resolution Ct Scans Of Human Adult Ears, Auden P. Balouch, Karen Bekhazi, Hannah E. Durkee, Rebecca M. Farrar, Mealaktey Sok, Douglas H. Keefe, Aaron K. Remenschneider, Nicholas J. Horton, Susan E. Voss

Engineering: Faculty Publications

Description of the ear canal’s geometry is essential for describing peripheral sound flow, yet physical measurements of the canal’s geometry are lacking and recent measurements suggest that older-adult-canal areas are systematically larger than previously assumed. Methods to measure ear-canal geometry from multi-planar reconstructions of high-resolution CT images were developed and applied to 66 ears from 47 subjects, ages 18–90 years. The canal’s termination, central axis, entrance, and first bend were identified based on objective definitions, and the canal’s cross-sectional area was measured along its canal’s central axis in 1-2 mm increments. In general, left and right ears from a given …

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A Comparative Effectiveness Study On Opioid Use Disorder Prediction Using Artificial Intelligence And Existing Risk Models, Sajjad Fouladvand, Jeffery Talbert, Linda Phyliss Dwoskin, Heather M. Bush, Amy L. Meadows, Lars E. Peterson, Yash R. Mishra, Steven K. Roggenkamp, Fei Wang, Ramakanth Kavuluru, Jin Chen Jul 2023

A Comparative Effectiveness Study On Opioid Use Disorder Prediction Using Artificial Intelligence And Existing Risk Models, Sajjad Fouladvand, Jeffery Talbert, Linda Phyliss Dwoskin, Heather M. Bush, Amy L. Meadows, Lars E. Peterson, Yash R. Mishra, Steven K. Roggenkamp, Fei Wang, Ramakanth Kavuluru, Jin Chen

Markey Cancer Center Faculty Publications

Opioid use disorder (OUD) is a leading cause of death in the United States placing a tremendous burden on patients, their families, and health care systems. Artificial intelligence (AI) can be harnessed with available healthcare data to produce automated OUD prediction tools. In this retrospective study, we developed AI based models for OUD prediction and showed that AI can predict OUD more effectively than existing clinical tools including the unweighted opioid risk tool (ORT). Data include 474,208 patients’ data over 10 years; 269,748 were females with an average age of 56.78 years. Cases are prescription opioid users with at least …

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Analysis, Measurement, And Modeling Of Millimeter Wave Channels For Aviation Applications, Zeenat Afroze Jul 2023

Analysis, Measurement, And Modeling Of Millimeter Wave Channels For Aviation Applications, Zeenat Afroze

Theses and Dissertations

Millimeter wave (mmWave) communication systems can employ a large amount of spectrum, and can consequently offer large data rates, e.g., multi-Gigabits-per-second. This technology can be used in many sectors: aviation, vehicles, public transportation, robotics, autonomous factories, etc. Yet mmWave communication systems suffer from some propagation challenges, including large free space path loss (PL), large penetration loss, and large diffraction loss. Hence, it is vital to quantify these and other channel effects to ensure link reliability. Most mmWave systems will employ directional antennas to enable acceptable link distances. In many settings this will require directional receiver antennas to rotate in azimuth …

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Building Services Engineering July/August 2023 Jul 2023

Building Services Engineering July/August 2023

Building Services Engineering

No abstract provided.

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Development Of A Scalable Edge-Cloud Computing Based Variable Rate Irrigation Scheduling Framework, Eric J. Wilkening, Derek M. Heeren, Yeyin Shi, Abia Katimbo, Precious N. Amori, Guillermo R. Balboa, Laila A. Puntel, Kuan Zhang, Daran R. Rudnick Jul 2023

Development Of A Scalable Edge-Cloud Computing Based Variable Rate Irrigation Scheduling Framework, Eric J. Wilkening, Derek M. Heeren, Yeyin Shi, Abia Katimbo, Precious N. Amori, Guillermo R. Balboa, Laila A. Puntel, Kuan Zhang, Daran R. Rudnick

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

Currently, variable-rate precision irrigation (VRI) scheduling methods require large amounts of data and processing time to accurately determine crop water demands and spatially process those demands into an irrigation prescription. Unfortunately, irrigated crops continue to develop additional water stress when the previously collected data is being processed. Machine learning is a helpful tool, but handling and transmitting large datasets can be problematic; more rural areas may not have access to necessary wireless data transmission infrastructure to support cloud interaction. The introduction of “edge-cloud” processing to agricultural applications has shown to be effective at increasing data processing speed and reducing the …

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