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Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang Aug 2022

Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang

Publications

The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting …

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Covid-19 And Traffic Safety: Exploring Exposure, Crash Frequency And Severity, And Roadway And Network Design, Nicholas N. Ferenchak Ph.D Aug 2022

Covid-19 And Traffic Safety: Exploring Exposure, Crash Frequency And Severity, And Roadway And Network Design, Nicholas N. Ferenchak Ph.D

Publications

Early COVID-19 lockdowns in the first half of 2020 largely kept people at home, thereby reducing motor vehicle traffic levels. Theoretically, reduced traffic exposure should have resulted in reduced motor vehicle crashes. However, a variety of factors may have complicated this relationship. In order to better understand the impact of COVID-19 lockdowns on traffic safety outcomes, we explore fatalities, injuries, and total crashes before and during the lockdowns on both the national and state levels. We provide descriptive statistics and create negative binomial regressions exploring the role of vehicle, user, and built environment factors on traffic safety outcomes. Findings suggest …

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Increasing Bridge Durability And Service Life With Lidar Enhanced Unmanned Aerial Systems (Uas), Fernando Moreu, Mahsa Sanei, Chris Lippitt Aug 2022

Increasing Bridge Durability And Service Life With Lidar Enhanced Unmanned Aerial Systems (Uas), Fernando Moreu, Mahsa Sanei, Chris Lippitt

Publications

Bridge construction inspections require quantitative measurements and location information. The conventional approach is visual inspection, which in general, is rather time-consuming, expensive due to traffic closure, subjective, and needs special access. Therefore an automated rebar layout detection algorithm was developed to quickly extract quantitative rebar layout information from the LiDAR data. This systematic method can automatically cluster the bridge elements from a 3D point cloud by using LiDAR-equipped UAS data collection and unsupervised machine learning techniques. A new automated inspection system using a LIDAR-equipped UAS can eventually if developed and tested be more reliable as well as less expensive. In …

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Effectiveness Assessment Of E-Ticketing Technology In Construction Of Transportation Projects, Sharareh Kermanshachi, Karthik Subramanya Aug 2022

Effectiveness Assessment Of E-Ticketing Technology In Construction Of Transportation Projects, Sharareh Kermanshachi, Karthik Subramanya

Publications

The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies …

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Development Of Distress Index Prediction Models For Rehabilitation Treatments In Louisiana Using Advanced Machine Learning Techniques, Momen R. Mousa, Marwa Hassan Aug 2022

Development Of Distress Index Prediction Models For Rehabilitation Treatments In Louisiana Using Advanced Machine Learning Techniques, Momen R. Mousa, Marwa Hassan

Publications

Performance prediction models are used by state agencies to predict future trends in distress indices, hence, determining the required maintenance and/or rehabilitation treatment as well as the deterioration rate and remaining pavement service life. However, most of these models are based on a limited number of parameters and cannot predict the performance distress indices reliably. Such limitation resulted in having, most of the time, a maximum prediction period of five years. As a solution and coping with the ever-increasing size of pavement data, machine learning techniques have become a promising alternative. The objective of this study was to develop a …

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Using Rice Husk Ash (Rha) As Stabilizing Agent For Problematic Subgrade Soils And Embankments, Zahid Hossain, Rifat Bulut, Fares Tarhuni, Hussein Al-Dakheeli Aug 2022

Using Rice Husk Ash (Rha) As Stabilizing Agent For Problematic Subgrade Soils And Embankments, Zahid Hossain, Rifat Bulut, Fares Tarhuni, Hussein Al-Dakheeli

Publications

Arkansas produces the most of the rice in the United States. About 20% of poddy is rice husk (RH), which is burnt under controlled conditions to produce rice rusk ash (RHA). The RHA is considered an environmental hazard and a significant challenge for rice millers. However, RHA is rich in pozzolanic material, which is mainly silica. In this study, RHA is used to stabilize poor soils. Another commonly used stabilizer, hydrated lime (HL), has also been evaluated for comparison purposes. Thus, this study aimed to determine the optimum percentages of RHA, HL, or a combination of these two agents by …

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A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal Aug 2022

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

Publications

Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

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Revisit Of Open Clusters Upk 39, Upk 41 And Phoc 39 : A New Binary Open Cluster Found, Xianhao Ye, Terry D. Oswalt, Jingkun Zhao, Yong Yang, Gang Zhao Jul 2022

Revisit Of Open Clusters Upk 39, Upk 41 And Phoc 39 : A New Binary Open Cluster Found, Xianhao Ye, Terry D. Oswalt, Jingkun Zhao, Yong Yang, Gang Zhao

Publications

We investigate the three open clusters near Aquila Rift cloud, named as UPK 39 (c1 hereafter), UPK 41 (c2 hereafter) in Sim et al. (2019) and PHOC 39 (c3 hereafter) in Hunt & Reffert (2021), respectively. Using photometric passpands, reddening, and extinction from Gaia DR3, we construct the color-absolute-magnitude diagram (CAMD). Using isochrone fits their ages are estimated as 6.3 ± 0.9, 8.1 ± 1.4 and 21.8 ± 2.2 Myr, respectively. Their proper motions and radial velocities, estimated using data from Gaia and LAMOST are very similar. From their orbits, relative distances among them at different times, kinematics, ages, and …

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Juneau's Changing Climate And Community Response, James E. Powell, Molly Tankersley, Tom Ainsworth, Jason M. Amundson, Bob Armstrong, Bruce Botelho, Richard Carstensen, David V. D'Amore, Robert James Foy, Eran Hood, Aaron Jacobs, Katie Koester, Linda Kruger, Kevin Maier, Alec Mesdag, Duff Mitchell, Sonia Nagorski, Raymond Paddock, Heidi C. Pearson, Andy Romanof, Darren Sndyer, Richard L. Thoman, Thomas F. Thornton, Peggy Wilcox Jul 2022

Juneau's Changing Climate And Community Response, James E. Powell, Molly Tankersley, Tom Ainsworth, Jason M. Amundson, Bob Armstrong, Bruce Botelho, Richard Carstensen, David V. D'Amore, Robert James Foy, Eran Hood, Aaron Jacobs, Katie Koester, Linda Kruger, Kevin Maier, Alec Mesdag, Duff Mitchell, Sonia Nagorski, Raymond Paddock, Heidi C. Pearson, Andy Romanof, Darren Sndyer, Richard L. Thoman, Thomas F. Thornton, Peggy Wilcox

Publications

This report is designed as a living document to inform the community, decision makers, and academics and to serve as a learning and teaching tool. The nine key messages summarized on pages 6 and 7 are intended for use as a quick reference. Unique for this type of report, these key messages highlight actions by Juneau's civil society, including local nonprofit organizations.

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Juneau's Changing Climate And Community Response, James E. Powell, Molly Tankersley, Tom Ainsworth, Jason M. Amundson, Bob Armstrong, Bruce Botelho, Richard Carstensen, David V. D'Amore, Robert James Foy, Eran Hood, Aaron Jacobs, Katie Koester, Linda Kruger, Kevin Maier, Alec Mesdag, Duff Mitchell, Sonia Nagorski, Raymond Paddock, Heidi C. Pearson, Andy Romanof, Darren Sndyer, Richard L. Thoman, Thomas F. Thornton, Peggy Wilcox Jul 2022

Juneau's Changing Climate And Community Response, James E. Powell, Molly Tankersley, Tom Ainsworth, Jason M. Amundson, Bob Armstrong, Bruce Botelho, Richard Carstensen, David V. D'Amore, Robert James Foy, Eran Hood, Aaron Jacobs, Katie Koester, Linda Kruger, Kevin Maier, Alec Mesdag, Duff Mitchell, Sonia Nagorski, Raymond Paddock, Heidi C. Pearson, Andy Romanof, Darren Sndyer, Richard L. Thoman, Thomas F. Thornton, Peggy Wilcox

Publications

This report is designed as a living document to inform the community, decision makers, and academics and to serve as a learning and teaching tool. The nine key messages summarized on pages 6 and 7 are intended for use as a quick reference. Unique for this type of report, these key messages highlight actions by Juneau's civil society, including local nonprofit organizations.

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Advancement Experiences Of Women In Academic Senior Leadership Positions In Stem Disciplines: A Delphi Analysis, Kimberly Luthi, Mickey Kosloski Jul 2022

Advancement Experiences Of Women In Academic Senior Leadership Positions In Stem Disciplines: A Delphi Analysis, Kimberly Luthi, Mickey Kosloski

Publications

This article explores structural support systems that lead to women's advancement and hindrance factors that either catalyze or delay women's career acceleration in higher education, specifically within STEM-related and workforce education disciplines. Through a consensus building approach, a four-round Delphi analysis explored the experiences and perceptions of 17 panelists who currently or formerly served in a senior-ranked position within a higher education setting at five institutions in the Southeast United States. The panel included women who met the eligibility criteria as subject matter experts and held positions as deans in a STEM discipline, principal investigators over federally funded STEM and …

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Particulate Matters - Water Filtration And Solar Disinfection, Shelby A. Watson, Brooke A. Whitworth Jul 2022

Particulate Matters - Water Filtration And Solar Disinfection, Shelby A. Watson, Brooke A. Whitworth

Publications

Those of us in the United States often take for granted that the water coming out of our faucets will be safe for drinking, cleaning, or brushing our teeth. Despite this, each year nearly half a million people visit emergency rooms because of waterborne diseases, resulting in over 100,000 hospital stays and thousands of deaths (Centers for Disease Control and Prevention [CDC] 2020). In fact, the CDC estimated that in 2017 people in the United States spent $3.8 billion on emergency room visits for waterborne illnesses.

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Climatology Of Deep O+ Dropouts In The Night-Time F-Region In Solar Minimum Measured By A Langmuir Probe Onboard The International Space Station, Shantanab Debchoudhury, Aroh Barjatya, Joseh I. Minow, Victoria N. Coffey, Linda N. Parker Jul 2022

Climatology Of Deep O+ Dropouts In The Night-Time F-Region In Solar Minimum Measured By A Langmuir Probe Onboard The International Space Station, Shantanab Debchoudhury, Aroh Barjatya, Joseh I. Minow, Victoria N. Coffey, Linda N. Parker

Publications

The Floating Potential Measurement Unit (FPMU) onboard the International Space Station includes a Wide sweeping Langmuir Probe (WLP) that has been operating in the F-region of the ionosphere at ∼400 km since 2006. While traditional Langmuir probe estimates include critical plasma parameters like electron density and temperature, we have also extracted the O+ percentage from the total ion constituents. This O+ composition dataset from the recent minimum in the Solar Cycle 24 reveals orbits with dropouts in O+ to below 80% of the total background ion density at ISS orbital altitudes. The observed O+ percentages during these dropouts are much …

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Career Advancement Of Women In Engineering Disciplines At Two-Year Degree Institutions: Documenting Challenges And Potential Solutions To Raise Inclusivity, Kimberly Luthi Jun 2022

Career Advancement Of Women In Engineering Disciplines At Two-Year Degree Institutions: Documenting Challenges And Potential Solutions To Raise Inclusivity, Kimberly Luthi

Publications

Institutions of higher education that offer two-year degrees have student-centered missions with support structures to address the unique needs of a diverse student body [14]. Many two-year degree institution types are open access and have institutional priorities focused on increasing diversity and inclusive practices among both the students and faculty [1]. Although the inclusion of women traditionally underrepresented in STEM disciplines in higher education settings is a national concern, the advancement of women at institutions that offer support networks and institutional practices such as two-year degree institutions contribute to women’s advancement and diversity in the talent pipeline. This research study …

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Equity In Engineering Education: The Experiences Of Non-Traditional Students In Introductory Engineering Courses With Peer Learning Support, Kimberly T. Luthi, Mohua Kar Jun 2022

Equity In Engineering Education: The Experiences Of Non-Traditional Students In Introductory Engineering Courses With Peer Learning Support, Kimberly T. Luthi, Mohua Kar

Publications

This paper seeks to examine one aspect of the pilot research study entitled, “Engagement in Engineering Pathways: An Initiative to Retain Non-Traditional Students in Engineering” funded by the National Science Foundation Improving Undergraduate STEM Education grant program (Award No. 1712008). This three-year study examines the effect of the use of Peer-Led Team Learning (PLTL) on students’ academic performance, STEM experiences, and persistence in engineering programs [2]. The data collected is from May 2018- May 2020. The present study population is undergraduate engineering students at a multi-campus, federally designated Hispanic-serving, public, two-year college in the southeastern U.S. This paper will specifically …

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Building Undergraduate Research In A Fully Online Engineering Program, Robert Deters, Brent Terwilliger, Emily Faulconer, Kelly A. George Jun 2022

Building Undergraduate Research In A Fully Online Engineering Program, Robert Deters, Brent Terwilliger, Emily Faulconer, Kelly A. George

Publications

This paper describes the creation and implementation of the support network of the Research Scholars Program at the Worldwide campus of Embry-Riddle Aeronautical University. Funded by an NSF IUSE grant, the purpose of this new program is to increase the opportunity for online engineering and engineering technology students to participate in undergraduate research. Studies have shown that participation in research can have an important impact on students, though online students are likely underrepresented in undergraduate research. The Research Scholars Program uses existing support systems of the campus while also building new components. These new components developed for this project are …

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Predicting The Impact Of Covid-19 On Air Transportation Volumes, Dothang Truong Jun 2022

Predicting The Impact Of Covid-19 On Air Transportation Volumes, Dothang Truong

Publications

COVID-19 has significant impacts on air transportation. This paper aims to predict domestic and international transportation volumes during the pandemic. Daily trips by distance are novel variables in the prediction. Additionally, COVID-19 severity, vaccination, and economic index are other predictors. Artificial Neural Networks and Monte Carlo simulations were used to develop and validate the predictive models using data from various sources in 2021. The findings confirm the importance of daily trips by distance and vaccination as significant predictors. Airlines can use the models to predict air transportation volumes and formulate appropriate strategies to meet the air travel demand and improve …

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Performance Testing Of Apc Electric Fixed-Blade Uav Propellers, Or D. Dantsker, Robert W. Deters, Marco Caccamo, Michael S. Selig Jun 2022

Performance Testing Of Apc Electric Fixed-Blade Uav Propellers, Or D. Dantsker, Robert W. Deters, Marco Caccamo, Michael S. Selig

Publications

The increase in popularity of unmanned aerial vehicles (UAVs) has been driven by their use in civilian, education, government, and military applications. However, limited on-board energy storage significantly limits flight time and ultimately usability. The propulsion system plays a critical part in the overall energy consumption of the UAV; therefore, it is necessary to determine the most optimal combination of possible propulsion system components for a given mission profile, i.e., propellers, motors, and electronic speed controllers (ESC). Hundreds of options are available for the different components with little performance specifications available for most of them. APC Thin Electric propellers were …

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Preliminary Study Of Shape-Memory Alloy Torsional Tubes As Thermal Management Actuators Under Non-Ideal Conditions, Paula Sanjuan Espejo, Samuel Desloover, Devon Hardy, Mark Ricklick, Frederick Calkin, David Foutch Jun 2022

Preliminary Study Of Shape-Memory Alloy Torsional Tubes As Thermal Management Actuators Under Non-Ideal Conditions, Paula Sanjuan Espejo, Samuel Desloover, Devon Hardy, Mark Ricklick, Frederick Calkin, David Foutch

Publications

Shape-memory alloys (SMAs) have been used in many engineering applications because of their shape-memory effect and pseudoelasticity. SMA behavior is well understood under steady and constant temperature and loading conditions, whereas transient and non-ideal conditions effects should be further investigated. In this research, SMA torque tubes are studied for use in thermal management applications as self-regulated actuators responding to a process fluid with changes in temperature, with the goal of improved system efficiency by keeping components at an optimal temperature. When utilized in a thermal management configuration, it is likely that the SMA’s thermal environment will be different than that …

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Can Language Models Capture Graph Semantics? From Graphs To Language Model And Vice-Versa, Tarun Garg, Kaushik Roy, Amit Sheth Jun 2022

Can Language Models Capture Graph Semantics? From Graphs To Language Model And Vice-Versa, Tarun Garg, Kaushik Roy, Amit Sheth

Publications

Knowledge Graphs are a great resource to capture semantic knowledge in terms of entities and relationships between the entities. However, current deep learning models takes as input distributed representations or vectors. Thus, the graph is compressed in a vectorized representation. We conduct a study to examine if the deep learning model can compress a graph and then output the same graph with most of the semantics intact. Our experiments show that Transformer models are not able to express the full semantics of the input knowledge graph. We find that this is due to the disparity between the directed, relationship and …

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Knowledge-Driven Drug-Use Namedentity Recognition With Distant Supervision, Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit Sheth Jun 2022

Knowledge-Driven Drug-Use Namedentity Recognition With Distant Supervision, Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit Sheth

Publications

As Named Entity Recognition (NER) has been essential in identifying critical elements of unstructured content, generic NER tools remain limited in recognizing entities specific to a domain, such as drug use and public health. For such high-impact areas, accurately capturing relevant entities at a more granular level is critical, as this information influences real-world processes. On the other hand, training NER models for a specific domain without handcrafted features requires an extensive amount of labeled data, which is expensive in human effort and time. In this study, we employ distant supervision utilizing a domain-specific ontology to reduce the need for …

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Numerical Implementation And Validation Of A Viscoelastic-Plastic Material Model For Predicting Curing Induced Residual Stresses In Adhesive Bonded Joints, Akshat Agha, Fadi Abu-Farha Jun 2022

Numerical Implementation And Validation Of A Viscoelastic-Plastic Material Model For Predicting Curing Induced Residual Stresses In Adhesive Bonded Joints, Akshat Agha, Fadi Abu-Farha

Publications

One of the main challenges in the joining of multi-material components is the assessment of the nature and magnitude of the residual stresses developing in the adhesive bond during the heat curing manufacturing process. Numerical modeling of these residual stresses can provide insights for making informed decisions related to (i) material substrate properties; (ii) adhesive properties i.e., low, medium, or high stiffness; (iii) bondline geometry i.e., bondline width and bead thickness; (iv) curing cycle characteristics; and (v) fixation design i.e., type, spacing, the number of joints. This work presents a cure history-dependent viscoelastic-plastic material description for the modeling of adhesive …

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Utilizing Human Factors To Improve Perioperative Adverse Event Investigations: An Integrated Approach, Joseph R. Keebler, Elizabeth H. Lazzara, Elizabeth Blickensderfer, Thomas Looke, Frank Rosemeier, Brittany Almon, Lou Barr, Jeffrey Kuhlman May 2022

Utilizing Human Factors To Improve Perioperative Adverse Event Investigations: An Integrated Approach, Joseph R. Keebler, Elizabeth H. Lazzara, Elizabeth Blickensderfer, Thomas Looke, Frank Rosemeier, Brittany Almon, Lou Barr, Jeffrey Kuhlman

Publications

Objective: Apply Human Factors (HF), systems engineering, and high reliability organizational principles to improve adverse event investigations in a regional hospital system. Background: Given the complexity of medicine and healthcare systems, innovative thinking is required to ensure these systems are resilient to error. Understanding the work system and its constituent parts is fundamental to understanding how errors begin and propagate. Method: This paper provides a discussion on employing a systems-based approach to improve perioperative adverse event investigations within a hospital system. Results: Data was collected across 13 investigations. The findings are summarized into 16 contributing factors, with 10 specific examples …

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Impact Of Hospital Characteristics And Governance Structure On The Adoption Of Tracking Technologies For Clinical And Supply Chain Use: Longitudinal Study Of Us Hospitals, Xiao Zhu, Youyou Tao, Ruilin Zhu, Dezhi Wu, Wai-Kit Ming May 2022

Impact Of Hospital Characteristics And Governance Structure On The Adoption Of Tracking Technologies For Clinical And Supply Chain Use: Longitudinal Study Of Us Hospitals, Xiao Zhu, Youyou Tao, Ruilin Zhu, Dezhi Wu, Wai-Kit Ming

Publications

BACKGROUND: Despite the increasing adoption rate of tracking technologies in hospitals in the United States, few empirical studies have examined the factors involved in such adoption within different use contexts (eg, clinical and supply chain use contexts). To date, no study has systematically examined how governance structures impact technology adoption in different use contexts in hospitals. Given that the hospital governance structure fundamentally governs health care workflows and operations, understanding its critical role provides a solid foundation from which to explore factors involved in the adoption of tracking technologies in hospitals. OBJECTIVE: This study aims to compare critical factors associated …

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Statistical Characteristics Of High-Frequency Gravity Waves Observed By An Airglow Imager At Andes Lidar Observatory, Alan Z. Liu, Bing Cao May 2022

Statistical Characteristics Of High-Frequency Gravity Waves Observed By An Airglow Imager At Andes Lidar Observatory, Alan Z. Liu, Bing Cao

Publications

The long-term statistical characteristics of high-frequency quasi-monochromatic gravity waves are presented using multi-year airglow images observed at Andes Lidar Observatory (ALO, 30.3° S, 70.7° W) in northern Chile. The distribution of primary gravity wave parameters including horizontal wavelength, vertical wavelength, intrinsic wave speed, and intrinsic wave period are obtained and are in the ranges of 20–30 km, 15–25 km, 50–100 m s−1, and 5–10 min, respectively. The duration of persistent gravity wave events captured by the imager approximately follows an exponential distribution with an average duration of 7–9 min. The waves tend to propagate against the local background winds and …

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Invest In Farm Water Conservation To Curtail Buy And Dry, David E. Rosenberg May 2022

Invest In Farm Water Conservation To Curtail Buy And Dry, David E. Rosenberg

Publications

The term buy-and-dry plays to the fears of farm and ranch communities. In Owens Valley, CA in the early 1900s and Palo Verde Irrigation District, CA today, wealthy urban water providers buy up water rights, dry out farms and ranches, export purchased water out of basin to growing cities, or keep water in storage to counter reservoir draw down (James, 2021). As more farmers and ranchers sell their water rights, local businesses—irrigation, farm equipment, seed, and other agricultural firms—contract. Those contractions encourage more farmers and ranchers to sell 15 their water rights and farms. And a negative feedback loop gains …

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Mesosphere And Lower Thermosphere Changes Associated With The 2 July 2019 Total Eclipse In South America Over The Andes Lidar Observatory, Cerro Pachon, Chile, A. Liu, F. Vargas, G. Swenson, C. Segura, P. Vega, J. Fuentes, D. Pautet, M. Taylor, Y. Zhao, Y. Morton, H. Bourne May 2022

Mesosphere And Lower Thermosphere Changes Associated With The 2 July 2019 Total Eclipse In South America Over The Andes Lidar Observatory, Cerro Pachon, Chile, A. Liu, F. Vargas, G. Swenson, C. Segura, P. Vega, J. Fuentes, D. Pautet, M. Taylor, Y. Zhao, Y. Morton, H. Bourne

Publications

This article presents the results of a week of observations around the 2 July 2019, total Chilean eclipse. The eclipse occurred between 19:22 and 21:46 UTC, with complete sun disc obscuration at 20:38–20:40 UTC (16:38–16:40 LT) over the Andes Lidar Observatory (ALO) at (30.3°S, 70.7°W). Observations were carried out using ALO instrumentation with the goal to observe possible eclipse-induced effects on the mesosphere and lower thermosphere region (MLT; 75–105 km altitude). To complement our data set, we have also utilized TIMED/SABER temperatures and ionosonde electron density measurements taken at the University of La Serena's Juan Soldado Observatory. Observed events include …

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Student Understanding Of Kinematics: A Qualitative Assessment, Andrew Cashman, Tom O'Mahony May 2022

Student Understanding Of Kinematics: A Qualitative Assessment, Andrew Cashman, Tom O'Mahony

Publications

In engineering, kinematics is widely regarded as a fundamental topic with the literature agreeing that students possess a wide range in understanding of the topic. This study aims to take a second-order approach by understanding and exploring the qualitatively different ways in which students approach solving kinematics problems. Phenomenography was used to collect data through ten semi-structured interviews with early-stage mechanical engineering students. Following data analysis, four distinct categories of students’ approaches were identified; unstructured, framing the problem, strategic, and conceptual. It was found that these categories could be arranged in a hierarchy and were also supported by secondary epistemic …

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Insights From The Field: Project Execution Success And Failure, Tracey M. Richardson, James W. Marion Jr, Vittal S. Anantatmula, James R. Gibson May 2022

Insights From The Field: Project Execution Success And Failure, Tracey M. Richardson, James W. Marion Jr, Vittal S. Anantatmula, James R. Gibson

Publications

Project execution plays a decisive role in project success, but past research did not focus on the project manager’s perspective of what needs to be accomplished to achieve success. In this study, the authors used qualitative techniques to look for reoccurring themes related to 44project managers’ responses to interview questions associated with successful project execution and failed project execution. The study found that despite the project management profession growth, professional associations’ efforts, and their professional development endeavors, project management execution seems to be concerned with what has happened versus what is happening in a project. This study provides a conceptual …

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Mapping And Making Meaning From Undergraduate Student Engagement In High-Impact Educational Practices, Bridget G. Trogden, Cazembe Kennedy, Nathan K. Biyani May 2022

Mapping And Making Meaning From Undergraduate Student Engagement In High-Impact Educational Practices, Bridget G. Trogden, Cazembe Kennedy, Nathan K. Biyani

Publications

Institutions of higher education often have multiple entry points for first-time and transfer college students to engage in high-impact educational practices (HIPs), well documented to advance student learning outcomes. Some students may seek out repeated opportunities while others engage very little or not at all in activities such as student-faculty research, study abroad, internships, first-year cohort programs, service-learning, and the like. When institutions maintain decentralized data and records on students’ participation, obtaining a true understanding of the "who, what, when, and where" of HIPs can be difficult. In this paper, we present an institutional strategy for longitudinal collection of data …

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