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Fastcase Features: A Quick Guide For Former Casemaker Users, Baylee Suskin Jan 2022

Fastcase Features: A Quick Guide For Former Casemaker Users, Baylee Suskin

Publications

No abstract provided.

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Procedural Environmental Justice, Jonathan Skinner-Thompson Jan 2022

Procedural Environmental Justice, Jonathan Skinner-Thompson

Publications

Achieving environmental justice—that is, the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income, with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies—requires providing impacted communities not just the formal right, but the substantive ability, to participate as equal partners at every level of environmental decision-making. While established administrative policy purports to provide all people with so-called “meaningful involvement” in the regulatory process, the public participation process often excludes marginalized community members from exerting meaningful influence on decision-making. Especially in the environmental arena, regulatory decisions are often buried …

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Against Domestic Violence: Public And Private Prosecution Of Batterers, Carolyn B. Ramsey Jan 2022

Against Domestic Violence: Public And Private Prosecution Of Batterers, Carolyn B. Ramsey

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No abstract provided.

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A Numerical Solution Of Water Flow In Unsaturated Soil With Evapotraspiration, Andrei Ludu, Harihar Khanal, Ramesh Chandra Timsina, Kedar Nath Uprety Dec 2021

A Numerical Solution Of Water Flow In Unsaturated Soil With Evapotraspiration, Andrei Ludu, Harihar Khanal, Ramesh Chandra Timsina, Kedar Nath Uprety

Publications

Flow movement in unsaturated soil can be expressed by Richards equation. This equation can be obtained by applying the mass conversation law and the Darcy law. In this work, we solve one-dimensional Kirchhoff transformed Richards equation with loss of water due to the evaporation of unsaturated porous media (soils) and transpiration of plants numerically using Crank-Nicolson method. The result has compared with evapotranspiration function and without it in the governing equation. It has found that an additional work in time and flow movement is needs to reach the given boundary condition for the model without evapotranspiration.

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A Mathematical Model For Transport And Growth Of Microbes In Unsaturated Porous Soil, Harihar Khanal, Andrei Ludu, Ramesh Chandra Timsina, Kedar Nath Uprety Dec 2021

A Mathematical Model For Transport And Growth Of Microbes In Unsaturated Porous Soil, Harihar Khanal, Andrei Ludu, Ramesh Chandra Timsina, Kedar Nath Uprety

Publications

In this work, we develop a mathematical model for transport and growth of microbes by natural (rain) water infiltration and flow through unsaturated porous soil along the vertical direction under gravity and capillarity by coupling a system of advection diffusion equations (for concentration of microbes and their growth-limiting substrate) with the Richards equation. (e model takes into consideration several major physical, chemical, and biological mechanisms. (e resulting coupled system of PDEs together with their boundary conditions is highly nonlinear and complicated to solve analytically. We present both a partial analytic approach towards solving the nonlinear system and finding the main …

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Reduced-Order Dynamic Modeling And Robust Nonlinear Control Of Fluid Flow Velocity Fields, Anu Kossery Jayaprakash, William Mackunis, Vladimir Golubev, Oksana Stalnov Dec 2021

Reduced-Order Dynamic Modeling And Robust Nonlinear Control Of Fluid Flow Velocity Fields, Anu Kossery Jayaprakash, William Mackunis, Vladimir Golubev, Oksana Stalnov

Publications

A robust nonlinear control method is developed for fluid flow velocity tracking, which formally addresses the inherent challenges in practical implementation of closed-loop active flow control systems. A key challenge being addressed here is flow control design to compensate for model parameter variations that can arise from actuator perturbations. The control design is based on a detailed reduced-order model of the actuated flow dynamics, which is rigorously derived to incorporate the inherent time-varying uncertainty in the both the model parameters and the actuator dynamics. To the best of the authors’ knowledge, this is the first robust nonlinear closed-loop active flow …

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Defining And Detecting Toxicity On Social Media: Context And Knowledge Are Key, Amit Sheth, Valerie Shalin, Ugur Kursuncu Dec 2021

Defining And Detecting Toxicity On Social Media: Context And Knowledge Are Key, Amit Sheth, Valerie Shalin, Ugur Kursuncu

Publications

As the role of online platforms has become increasingly prominent for communication, toxic behaviors, such as cyberbullying and harassment, have been rampant in the last decade. On the other hand, online toxicity is multi-dimensional and sensitive in nature, which makes its detection challenging. As the impact of exposure to online toxicity can lead to serious implications for individuals and communities, reliable models and algorithms are required for detecting and understanding such communications. In this paper We define toxicity to provide a foundation drawing social theories. Then, we provide an approach that identifies multiple dimensions of toxicity and incorporates explicit knowledge …

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Advancing The Industrial Sectors Participation In Demand Response Within National Electricity Grids, Alexander Brem, Dominic T.J O'Sullivan, Ken Bruton Dec 2021

Advancing The Industrial Sectors Participation In Demand Response Within National Electricity Grids, Alexander Brem, Dominic T.J O'Sullivan, Ken Bruton

Publications

Increasing the level and diversifying the sources of flexible capacity available to transmission system operators will be a pivotal factor for maintaining reliable control of national electricity grids. These response capacities are widely available; however, one area with large capacities that could benefit from advancements is the industrial sector. This sector’s highly regulated nature ensures that structured procedures and thorough investigations are required to implement significant change. This study presents a systematic methodology to effectively categorise assets and evaluate their perceived risk of participation in demand response, allowing industries to present a sustainable portfolio of flexible capacity to the grid. …

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Teaching Diversity, Equity, And Inclusion In Aviation Education., Jorge L. D. Albelo Ph.D., Nicola O'Toole Dec 2021

Teaching Diversity, Equity, And Inclusion In Aviation Education., Jorge L. D. Albelo Ph.D., Nicola O'Toole

Publications

Over the last decade, many companies have begun to recognize the value of a diverse workforce, equity within the workforce, and inclusion practices. Recent global events have pushed the promotion of diversity, equity, and inclusion (DEI) in the aviation workplace and education higher on the priority list for many. Unfortunately, the aviation industry continues to have difficulty in attracting and retaining a diverse workforce. Notwithstanding this struggle in the industry, those in education must find ways to educate our students on topics relating to DEI. It is critically important that this training is rooted in research. The aviation industry is …

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Utilizing Uas To Support Wildlife Hazard Management Efforts By Airport Operators, Flavio A. C. Mendonca, Ryan Wallace Dec 2021

Utilizing Uas To Support Wildlife Hazard Management Efforts By Airport Operators, Flavio A. C. Mendonca, Ryan Wallace

Publications

The FAA requires airports operating under the Code of Federal Regulations Part 139 to conduct a wildlife hazard assessment (WHA) when some wildlife-strike events have occurred at or near the airport. The WHA should be conducted by a Qualified Airport Wildlife Biologist (QAWB) and must contain several elements, including the identification of the wildlife species observed and their numbers; local movements; daily and seasonal occurrences; and the identification and location of features on and near the airport that could attract wildlife. Habitats and land-use practices at and around the airport are key factors affecting wildlife species and the size of …

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Catalyst Regeneration Of Rap-Binder In Asphalt, D. Spivak, Subramanian Balamurugan Dec 2021

Catalyst Regeneration Of Rap-Binder In Asphalt, D. Spivak, Subramanian Balamurugan

Publications

Reclaimed Asphalt Pavement (RAP) binders are difficult to reuse because they often contain associated/aggregated molecules with very high molecular weights. This is due to the polarity gained during oxidative aging, causing the aggregation to occur. These high molecular weight components are responsible for RAP binder’s increased viscosity and certain deteriorated rheological properties. One strategy to reuse RAP binder is to mix it with virgin asphalt binder and use this partially recycled mixture in asphalt. The RAP binder is usually improved before mixing by the addition of rejuvenators, softening agents, softer binders, and antioxidants to the asphalt binder mix to rebalance …

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Field Implementation And Monitoring Of An Ultra-High Performance Concrete Bridge Deck Overlay, Craig Newtson, Brad Weldon, William Toledo, Andres Alvarez, Mark Manning Dec 2021

Field Implementation And Monitoring Of An Ultra-High Performance Concrete Bridge Deck Overlay, Craig Newtson, Brad Weldon, William Toledo, Andres Alvarez, Mark Manning

Publications

This project focused on field implementation of an ultra-high performance concrete (UHPC) overlay during rehabilitation of an existing concrete bridge (No. 7032) deck in Socorro, New Mexico, USA. Bridge 7032 is a two-lane bridge that is approximately 300 ft. (91.4 m) long and 54 ft. (16.5 m) in width. Rehabilitation of bridge 7032 included removal of deteriorated concrete from the existing deck, installation of a high-performance deck (HPD) leveling course, and installation of a 1 in. (25 mm) UHPC overlay. An UHPC mixture with a 19.5 ksi (134 MPa) compressive strength developed in previous research was selected for this project. …

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Bridge Load Posting Prediction, Sabarethinam Kameshwar, Md. Manik Mia, Sai Bandaru Dec 2021

Bridge Load Posting Prediction, Sabarethinam Kameshwar, Md. Manik Mia, Sai Bandaru

Publications

There are approximately 13,000 bridges in Louisiana facilitating movement of people, goods, and services. At present, about 12% of the bridges are load posted, i.e., they are deemed to lack the strength to safely carry all legal loads. With time bridges will age and deteriorate; at the same time, legal loads might increase. Load posted bridges disrupt the movement of goods and commerce. Therefore, objective of this research was to estimate the number of load posted bridges in Louisiana over the next 50 years. For this purpose, herein, a data based approach was used. For a given bridge type, the …

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Smart Battery Management System For Electric Vehicles: Selflearning Algorithms For Simultaneous State And Parameter Estimation, And Stress Detection, Avimanyu Sahoo, Samir Ahmed Dec 2021

Smart Battery Management System For Electric Vehicles: Selflearning Algorithms For Simultaneous State And Parameter Estimation, And Stress Detection, Avimanyu Sahoo, Samir Ahmed

Publications

The project proposes to develop parameter-varying SOH-coupled models for lithium-ion battery and self-learning algorithms to learn the model for simultaneous state and parameter estimation and fault detection. The traditional battery models use constant parameters, limiting their accuracy for predicting the state of the charge and health over the complete life-cycle. In practice, the battery parameters vary with the change in the state of charge and state of health. SOH-coupled models can be used to estimate the state of charge and health accurately. Further, obtaining the model parameters is also a challenging task for designing filters or observers for state estimation. …

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Expanding The Concept Of Comprehensive Area Ratio Parameter To The South-Central States: Towards Simplifying The Structural Evaluation Of Flexible Pavements At The Network Level, Mena Souliman, Samer Dessouky, Nitish R. Bastola Dec 2021

Expanding The Concept Of Comprehensive Area Ratio Parameter To The South-Central States: Towards Simplifying The Structural Evaluation Of Flexible Pavements At The Network Level, Mena Souliman, Samer Dessouky, Nitish R. Bastola

Publications

The surface deflection bowl data collected through falling weight deflectometer (FWD) test is utilized by highway agencies in assessing the performance of the flexible pavement. However, a robust method to evaluate pavement sections utilizing FWD data from all the sensors is seldom developed. There is always a need for DOTs and highway agencies to have a simplified procedure, which can be directly implemented in agencies' databases. This study focuses on expanding and validating the concept of previously developed area ratio parameters towards the pavement section of South-Central States (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas) in effectively analyzing the pavement …

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Statistical Spectral Characteristics Of Three-Dimensional Winds In The Mesopause Region Revealed By The Andes Lidar, Qian Li, Alan Z. Liu, Shao Dong Zhang, Chun Ming Huang, Kai Ming Huang, Yun Gong, Quan Gan, Yan Ying Yan, Hang Liu Nov 2021

Statistical Spectral Characteristics Of Three-Dimensional Winds In The Mesopause Region Revealed By The Andes Lidar, Qian Li, Alan Z. Liu, Shao Dong Zhang, Chun Ming Huang, Kai Ming Huang, Yun Gong, Quan Gan, Yan Ying Yan, Hang Liu

Publications

By analyzing data recorded at the Andes Lidar Observatory in Cerro Pachon, Chile (30.3°S, 70.7°W) from May 2014 to July 2019, we investigated the fundamental features of three-dimensional wind and temperature spectra. The vertical wavenumber spectral amplitudes of horizontal winds show obvious seasonal variations that are closely related to the seasonal variations in the source and background winds. The wavenumber spectral slopes of the horizontal winds are systematically less negative than −3, with mean values of −1.96 and −2.18 for zonal and meridional winds, respectively. The zonal and meridional wind frequency spectra have mean slopes of −1.37 and −1.56, respectively; …

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Developing A Peer Mentorship Program In Human Factors Academia, Emily A. Rickel, Barbara S. Chaparro Nov 2021

Developing A Peer Mentorship Program In Human Factors Academia, Emily A. Rickel, Barbara S. Chaparro

Publications

Peer mentorship programs that pair more experienced students (i.e., mentors) with less experienced students (i.e., mentees) can have an effective, positive impact on university students’ personal, academic, and professional outcomes. The purpose of this paper is to describe the process and lessons learned in the creation of a peer mentorship program in a Human Factors and Ergonomics (HF/E) academic department. Through a combination of peer networking opportunities and skill development workshops, the mentorship program outlined in this paper aims to promote students’ academic and professional growth. Take-aways that can be utilized by other HF/E academia departments interested in starting or …

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The Challenges Of Evaluating The Usability Of Augmented Reality (Ar), Jessyca L. Derby, Barbara S. Chaparro Nov 2021

The Challenges Of Evaluating The Usability Of Augmented Reality (Ar), Jessyca L. Derby, Barbara S. Chaparro

Publications

Augmented reality (AR) is a new and emerging technology that could benefit from evaluating its usability to better the user’s experience with the device or application. This is often done through usability testing and heuristic evaluations. However, AR technology presents some challenges when completing these usability evaluations. Practitioners need to keep in mind the hardware limitations of AR devices that may not be present with other computerized technology, consistency of the users’ environment plays a larger role in the AR experience, recognize that a novelty effect may occur and affect subjective scores, and choose heuristic sets that will best evaluate …

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Effect Of Driver Distraction On Vehicle Speed Control, Emily Parcell, Shivani Patel, Cameron Severin, Yoona Cho, Alex Chaparro Nov 2021

Effect Of Driver Distraction On Vehicle Speed Control, Emily Parcell, Shivani Patel, Cameron Severin, Yoona Cho, Alex Chaparro

Publications

Performing a secondary task while driving impairs various performance measures, including speed control. Distraction is associated with reductions in driving speed; however, this is often based on global measures of performance, such as course completion time or mean speed. This study investigated how a secondary task affected granular speed variation. Participants (N=16, ages 18-43) performed a secondary task of mentally subtracting pairs of numbers while negotiating a simulated road course. Various driving performance measures were obtained but only results for longitudinal velocity are reported. The results reveal that drivers exhibited significant increases and decreases (>2+/- SD) in vehicle speed …

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Best Practices For Reducing Interface Errors In Electronic Medical Records, Paige Lawton, Janel M. Ingraham, Beth Blickensderfer Nov 2021

Best Practices For Reducing Interface Errors In Electronic Medical Records, Paige Lawton, Janel M. Ingraham, Beth Blickensderfer

Publications

As Electronic Medical Records (EMR) become increasingly prevalent, the application of human factors principles is essential to facilitate efficiency and usability of these systems and, in turn, to reduce adverse patient outcomes due to user errors relating to the EMR. This paper describes five “best practices” found in the literature which aim to prevent error in the use of Electronic Medical Records. These practices are: Watermarking, Information Control and Management, Hybrid Systems, Cross-Checking Methodology, and Interface Modification. The paper describes each practice and examines the research underlying each approach. Although some practices may be easier to apply than others, they …

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Moisture Affinity Of Hdpe/Phase-Change Material Composites For Thermal Energy Storage Applications, Sandra K. Boetcher, Thomas B. Freeman, Rafael M. Rodriguez, Kashif Nawaz Nov 2021

Moisture Affinity Of Hdpe/Phase-Change Material Composites For Thermal Energy Storage Applications, Sandra K. Boetcher, Thomas B. Freeman, Rafael M. Rodriguez, Kashif Nawaz

Publications

Moisture adsorption can degrade the structural integrity of thermal energy storage devices and can negatively impact the capacity and charging/discharging behavior. Steady-state and transient experiments are conducted at various operating temperatures to evaluate the moisture affinity of organic phase-change material (PCM) shape stabilized with high-density polyethylene (HDPE).

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Improvement On Pdp Evaluation Performance Based On Neural Networks And Sgdk-Means Algorithm, Fan Deng, Houbing Song, Zhenhua Yu, Liyong Zhang, Xi Song, Min Zhang, Zhenyu Zhang, Yu Mei Nov 2021

Improvement On Pdp Evaluation Performance Based On Neural Networks And Sgdk-Means Algorithm, Fan Deng, Houbing Song, Zhenhua Yu, Liyong Zhang, Xi Song, Min Zhang, Zhenyu Zhang, Yu Mei

Publications

With the purpose of improving the PDP (policy decision point) evaluation performance, a novel and efficient evaluation engine, namely XDNNEngine, based on neural networks and an SGDK-means (stochastic gradient descent K-means) algorithm is proposed. We divide a policy set into different clusters, distinguish different rules based on their own features and label them for the training of neural networks by using the K-means algorithm and an asynchronous SGDK-means algorithm. Then, we utilize neural networks to search for the applicable rule. A quantitative neural network is introduced to reduce a server’s computational cost. By simulating the arrival of requests, XDNNEngine is …

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Durability Of Concrete Produced With Alternative Supplementary Cementitious Material, Craig Newtson, Brad Weldon, Judit Garcia, Seyedsaleh Mousavinezhad, William Toledo Nov 2021

Durability Of Concrete Produced With Alternative Supplementary Cementitious Material, Craig Newtson, Brad Weldon, Judit Garcia, Seyedsaleh Mousavinezhad, William Toledo

Publications

Historically, Class F fly ash has been chosen as a supplementary cementitious material (SCM) in concrete for its ability to mitigate alkali-silica reaction (ASR). However, future availability of fly ash is uncertain because the energy industry has been investing in renewable energy production and removing coal burning generating stations from operation. Consequently, there is a growing need to find new, cost effective and environmentally friendly alternatives to fly ash. This study investigated a locally available natural pozzolan mined from a pumicite deposit near Espanola, NM for its ability to mediate ASR. Concrete and mortar mixtures included SCM contents ranging from …

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Digital Technology And Disease Surveillance In The Covid-19 Pandemic: A Scoping Review Protocol, Lorie Donelle Phd, Rn, Fcan, Jodi Hall, Brad Hiebert, Jacob J. Shelley, Maxwell J. Smith, Jason Gilliland, Saverio Stranges, Anita Kothari, Jacquelyn Burkell, Tommy Cooke, Jed Long, James M. Shelley, Deanna Befus, Leigha Comer, Marionette Ngole, Meagan Stanley Oct 2021

Digital Technology And Disease Surveillance In The Covid-19 Pandemic: A Scoping Review Protocol, Lorie Donelle Phd, Rn, Fcan, Jodi Hall, Brad Hiebert, Jacob J. Shelley, Maxwell J. Smith, Jason Gilliland, Saverio Stranges, Anita Kothari, Jacquelyn Burkell, Tommy Cooke, Jed Long, James M. Shelley, Deanna Befus, Leigha Comer, Marionette Ngole, Meagan Stanley

Publications

INTRODUCTION: Infectious diseases pose a risk to public health, requiring efficient strategies for disease prevention. Digital health surveillance technologies provide new opportunities to enhance disease prevention, detection, tracking, reporting and analysis. However, in addition to concerns regarding the effectiveness of these technologies in meeting public health goals, there are also concerns regarding the ethics, legality, safety and sustainability of digital surveillance technologies. This scoping review examines the literature on digital surveillance for public health purposes during the COVID-19 pandemic to identify health-related applications of digital surveillance technologies, and to highlight discussions of the implications of these technologies. METHODS AND ANALYSIS: …

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Women In Aviation: A Phenomenological Study Exploring The Needs And Wants Necessary For Graduation, Eugene Kim, Jorge L. Albelo Oct 2021

Women In Aviation: A Phenomenological Study Exploring The Needs And Wants Necessary For Graduation, Eugene Kim, Jorge L. Albelo

Publications

Despite the increased awareness of gender and race equality movements, today's population of minority women in aviation is still underrepresented. This research focused on underrepresented minority women who want to pursue a career in the aviation field and what factors affect their level of success in a specialized aviation higher education institution. There is not enough data and research surrounding the topic of minority women in aviation and their paths to success in these institutions. This qualitative research aimed to bridge the existing gap in the literature related to minority women in aviation and their needs and wants to complete …

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How Faculty’S Academic Support Influence First-Year Female Students In Aviation: A Qualitative Case Study, Eugene Kim, Jorge L. Albelo Oct 2021

How Faculty’S Academic Support Influence First-Year Female Students In Aviation: A Qualitative Case Study, Eugene Kim, Jorge L. Albelo

Publications

An increasing number of female students are enrolling in aviation education institutions to pursue their dreams. To combat the issue of the underrepresentation of females, this case study explored the significance of faculty’s academic support to first-year females in aviation. There is scant research surrounding the topic of faculty in higher education and their perspectives on academic support. This case study aimed to bridge the existing literature gap related to faculty’s academic support and teaching styles to first-year female students. This qualitative case study’s objective was to increase awareness of the importance of faculty’s academic support and better understand how …

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Student Engagement In Aviation Massive Open Online Courses (Moocs), Jennifer M. Edwards, Haydee M. Cuevas, Felix Brito, Mark Friend, Maryjo O. Smith Oct 2021

Student Engagement In Aviation Massive Open Online Courses (Moocs), Jennifer M. Edwards, Haydee M. Cuevas, Felix Brito, Mark Friend, Maryjo O. Smith

Publications

As online training in the aviation industry continues to expand, understanding how learners engage in open online courses may help inform course design. Currently little is known about student engagement in aviation Massive Open Online Courses (MOOCs) and more information is needed about those who utilize, but do not complete them. Datasets from two aviation MOOCs were cluster-analyzed to determine subpopulations based on activity (discussions, videos, quizzes). Differences were examined for days of activity and completion. Survey data revealed differences in demographics and learning goals. Three significantly different subgroups were found for each MOOC. Engagement patterns were similar between corresponding …

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Analyzing The Effect Of Delta Airlines' Fleet Upgrade On Operations At Atlanta-Hartsfield Jackson International Airport, Carlos Alberto Castro, Shlok Misra Oct 2021

Analyzing The Effect Of Delta Airlines' Fleet Upgrade On Operations At Atlanta-Hartsfield Jackson International Airport, Carlos Alberto Castro, Shlok Misra

Publications

Commercial aviation has seen a growth in terms of passengers traveled and flights operated in the past decade (BTS, 2020). To cope up with this growth, airlines adopt various strategies such as network expansion and fleet upgrades. Airlines adopt fleet upgrade strategies to modernize their fleet, reduce costs, expand network coverage, and improve customer loyalty and experience. Research suggests that change in wake turbulence categorization and aircraft performance can directly impact the movements and delays at an airport. For this study, Delta Airline's fleet upgrade program and its effect on operating parameters at Atlanta-Hartsfield Jackson International Airport were analyzed. The …

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Zero-Bias Deep Neural Network For Quickest Rf Signal Surveillance, Yongxin Liu, Jian Wang, Dahai Liu, Houbing Song, Yingjie Chen, Shuteng Niu Oct 2021

Zero-Bias Deep Neural Network For Quickest Rf Signal Surveillance, Yongxin Liu, Jian Wang, Dahai Liu, Houbing Song, Yingjie Chen, Shuteng Niu

Publications

The Internet of Things (IoT) is reshaping modern society by allowing a decent number of RF devices to connect and share information through RF channels. However, such an open nature also brings obstacles to surveillance. For alleviation, a surveillance oracle, or a cognitive communication entity needs to identify and confirm the appearance of known or unknown signal sources in real-time. In this paper, we provide a deep learning framework for RF signal surveillance. Specifically, we jointly integrate the Deep Neural Networks (DNNs) and Quickest Detection (QD) to form a sequential signal surveillance scheme. We first analyze the latent space characteristic …

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Atmospheric Tomography Using The Nordic Meteor Radar Cluster And Chilean Observation Network De Meteor Radars: Network Details And 3d-Var Retrieval, Gunter Stober, Alan Z. Liu, Zishun Qiao, Alexander Kozlovsky, Masaki Tsutsumi, Chris Hall, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, Patrick J. Espy, Robert E. Hibbins, Nicholas Mitchell Oct 2021

Atmospheric Tomography Using The Nordic Meteor Radar Cluster And Chilean Observation Network De Meteor Radars: Network Details And 3d-Var Retrieval, Gunter Stober, Alan Z. Liu, Zishun Qiao, Alexander Kozlovsky, Masaki Tsutsumi, Chris Hall, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, Patrick J. Espy, Robert E. Hibbins, Nicholas Mitchell

Publications

Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, propagation direction or intrinsic frequency. In this study, we present a new retrieval algorithm for multistatic meteor radar networks to obtain tomographic 3-D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) and called 3D-Var, and based on the optimal estimation technique and Bayesian statistics. The performance …

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