Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Embry-Riddle Aeronautical University (815)
- Old Dominion University (508)
- University of Nebraska at Omaha (335)
- Missouri University of Science and Technology (320)
- University of Colorado Law School (287)
-
- Santa Clara University (254)
- University of Nebraska - Lincoln (252)
- San Jose State University (247)
- Purdue University (234)
- Morehead State University (222)
- Chulalongkorn University (217)
- University of Arkansas, Fayetteville (202)
- World Maritime University (197)
- Portland State University (194)
- Singapore Management University (176)
- California State University, San Bernardino (157)
- Association of Arab Universities (137)
- University of Nevada, Las Vegas (133)
- University of South Florida (122)
- Air Force Institute of Technology (117)
- California State University, Monterey Bay (101)
- Chinese Academy of Sciences (93)
- Montana Tech Library (85)
- California Polytechnic State University, San Luis Obispo (81)
- University of Mississippi (78)
- University of Texas at El Paso (74)
- City University of New York (CUNY) (70)
- University of Central Florida (68)
- Kennesaw State University (61)
- University of Kentucky (61)
- Keyword
-
- Sustainability (99)
- Colorado (94)
- California (91)
- United States (88)
- Santa Clara University (Calif.) (82)
-
- Student newspapers and periodicals (82)
- Climate change (80)
- Machine learning (79)
- Aviation (76)
- Artificial intelligence (71)
- Environment (65)
- Groundwater (61)
- Engineering (59)
- Transportation (59)
- Safety (56)
- Technology (53)
- Digital forensics (51)
- Education (49)
- Water quality (49)
- West (49)
- Agriculture (48)
- Fracking (48)
- GIS (48)
- Security (48)
- Fracing (47)
- Hydraulic fracturing (47)
- Artificial Intelligence (44)
- Human factors (44)
- Remote sensing (44)
- Wyoming (42)
- Publication Year
- Publication
-
- Journal of Digital Forensics, Security and Law (290)
- Space and Defense (280)
- UMR-MEC Conference on Energy / UMR-DNR Conference on Energy (238)
- Applied Environmental Research (216)
- Annual ADFSL Conference on Digital Forensics, Security and Law (174)
-
- Library Philosophy and Practice (e-journal) (159)
- Journal of International Technology and Information Management (148)
- Santa Clara Magazine (139)
- Theses and Dissertations (133)
- Palestine Technical University Research Journal (128)
- World Maritime University Dissertations (120)
- The Santa Clara (113)
- Research Collection School Of Computing and Information Systems (112)
- Publications (98)
- Journal of the Arkansas Academy of Science (97)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (93)
- United States Department of Defense Military Intelligence (88)
- All Issues, Copper Commando, World War II (83)
- 2021 Celebration of Student Scholarship - Oral Presentations (73)
- Mineta Transportation Institute (73)
- ORED Newsletter (73)
- Engineering Management & Systems Engineering Faculty Publications (71)
- 2023 Celebration of Student Scholarship - Poster Presentations (65)
- International Bulletin of Political Psychology (62)
- Maritime Safety & Environment Management Dissertations (Dalian) (62)
- Open Access Theses & Dissertations (62)
- USF Tampa Graduate Theses and Dissertations (60)
- Engineering Management & Systems Engineering Theses & Dissertations (58)
- Electrical & Computer Engineering and Computer Science Faculty Publications (56)
- Research Collection College of Integrative Studies (56)
- Publication Type
Articles 661 - 690 of 8004
Full-Text Articles in Engineering
A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin
A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin
Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials
While earthworms have largely been studied for their role in eliminating toxic metals from soil, less is known about their behavior overall. Previous work from our lab found that a predator-like auditory stimulus (grunting) reliably induced fear-related freezing behavior (Worthen et al., 2024). The present studies further explore earthworm behaviors in response to audio-vibratory stimuli. In Experiment 1, we manipulated amplitude levels and speaker location to examine the parameters needed to reliably induce a freezing fear response to the grunting sound. It was hypothesized that when the speaker was touching the apparatus and producing an added mechanical vibration, there would …
Boys Build, Girls Glam: An Examination Of Adult Language Use In Informal Steam Education Settings, Alexandra Horton
Boys Build, Girls Glam: An Examination Of Adult Language Use In Informal Steam Education Settings, Alexandra Horton
Theses and Dissertations
Research on STEAM education has primarily focused on formal education settings such as schools, with more research needed in informal or non-traditional education settings. As children frequently engage with informal and non-traditional education settings, it is important to understand how we can transmit information in these settings to bolster and further the learning process and increase engagement. STEAM fields have been plagued by racial and gender inequities that have led to these groups being marginalized and excluded (Blair et al., 2017; Eaton et al., 2020; Martin, 2018; Martin & Phillips, 2019; Miller et al., 2018; Newall et al., 2018, Sheffield …
How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny L. Davis, Celia Freed
How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny L. Davis, Celia Freed
Psychological Science Faculty Research & Creative Works
The hiring process is crucial for organizational success but has long been troubled by human biases. Many organizations now include AI in their hiring protocols to mitigate these biases and increase efficiency. However, AI itself can have biases baked-in. Human biases and AI biases are distinct but related; here, we examine how human and AI biases interact to affect hiring outcomes. Through an online experiment, we examine this question in the context of gendered hiring for a male-dominated leadership position in electrical engineering. The study tests how elevated and depressed AI recommendations for male and female job candidates affect participant …
Comparison Of Cnn And Lstm Networks On Human Intention Prediction In Physical Human-Robot Interactions, Khosro Ghorbani Zadeh, Niloofar Zendehdel, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Ming-Chuan Leu, Yun Seong Song
Comparison Of Cnn And Lstm Networks On Human Intention Prediction In Physical Human-Robot Interactions, Khosro Ghorbani Zadeh, Niloofar Zendehdel, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Ming-Chuan Leu, Yun Seong Song
Psychological Science Faculty Research & Creative Works
Advancements in robotics and AI have increased the demand for interactive robots in healthcare and assistive applications. However, ensuring safe and effective physical human-robot interactions (pHRIs) remains challenging due to the sophistication of human motor communication and intent recognition. Traditional physics-based models struggle to capture the dynamic nature of human force interactions, limiting robot adaptability. To address these limitations, neural networks (NNs) have been explored for force-movement intention prediction. While multi-layer perceptron (MLP) networks show potential, they struggle with temporal dependencies and generalization. Long Short-Term Memory (LSTM) networks effectively model sequential dependencies, while Convolutional Neural Networks (CNNs) enhance spatial feature …
Qualitative Interview Coding, Caroline M. Moore
Qualitative Interview Coding, Caroline M. Moore
ENGS 15.11: Design and Education
This lesson introduces undergraduate students to rigorous thematic analysis as a tool for gaining insights from qualitative interviews. Aimed at students with some familiarity in Design Thinking, it emphasizes the role of interviewing in understanding user experiences and informing human-centered research. This might be the first lesson in a multi-lesson sequence, allowing the next lesson to go deeper into insights of what design researchers gather from their thematic coding. Through a mix of lecture, individual coding, and small-group coding, students learn to distinguish between inductive and deductive coding and apply these methods to sample interviews. The lesson fosters active learning …
Confronting Indecision, Lane Allison Murray
Confronting Indecision, Lane Allison Murray
ENGS 15.11: Design and Education
This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.
Understanding Human-Agent Teaming: A Mixed-Methods Examination Of Perceptions And Interactions, Valerie Robbins-Roth, Kendall Carmody, Bella Deloach, Meredith Carroll, Amanda Thayer, Jessica Wildman
Understanding Human-Agent Teaming: A Mixed-Methods Examination Of Perceptions And Interactions, Valerie Robbins-Roth, Kendall Carmody, Bella Deloach, Meredith Carroll, Amanda Thayer, Jessica Wildman
Aeronautics Faculty Publications
While quantitative research on trust in HATs is well-established, there is a significant gap in understanding individuals’ subjective experiences during trust violations and repair. This study explores how people perceive and respond to these events, guided by three key questions: (1) How do participants describe emotional and behavioral responses to trust violations and repair? (2) How do personality traits influence reactions? (3) What qualitative themes emerge in the dissolution of trust? Using a mixed-methods approach, participants engaged in a 1-hour simulated search-and-rescue mission with four autonomous agents. During the task, one agent committed two trust violations, followed by repair attempts …
Consumer Preferences And Willingness To Pay For Vertiport Design, Amenities, And Services, David C. Ison
Consumer Preferences And Willingness To Pay For Vertiport Design, Amenities, And Services, David C. Ison
International Journal of Aviation, Aeronautics, and Aerospace
The rise of urban air mobility (UAM) and electric vertical takeoff and landing (eVTOL) aircraft necessitates the development of well-designed vertiports that align with consumer expectations. This study examines consumer preferences and willingness to pay (WTP) for vertiport design, amenities, and services to inform infrastructure planning and investment strategies. Using a survey-based quantitative research design, data were collected from 500 participants to assess key factors influencing WTP, including convenience, security measures, service efficiency, and premium offerings. Findings indicate that location accessibility, affordability, and streamlined security procedures are primary determinants of vertiport adoption. While aesthetic and retail enhancements contribute to passenger …
Perspectives Of Corporate Instructional Design Experts On Effectiveness, Personal Traits And Attributes, And Technology, Thomas A. Gant
Perspectives Of Corporate Instructional Design Experts On Effectiveness, Personal Traits And Attributes, And Technology, Thomas A. Gant
Theses and Dissertations
This qualitative phenomenological descriptive study explored corporate instructional design experts' perspectives on effectiveness, personal traits and attributes, and technology that enhance their expertise. Three central themes emerged: "Mastering Instructional Design: The Journey of Continuous Learning and Skill Development," highlighting the importance of mentorship, lifelong learning, and professional development; "Accessing Instructional Design Expertise Through Individual Strengths," emphasizing adaptability, problem-solving, and empathy; and "Navigating Technological Integration and Innovation in Instructional Design," showcasing the transformative role of tools such as virtual reality, learning management systems, and authoring software. Semi-structured interviews conducted via Zoom with 10 corporate instructional designers with at least 10 years …
A Blueprint To Greener Shorelines: Advancing The Effectiveness, Sustainability, And Widespread Adoption Of Coastal Nature-Based Solutions Through Transdisciplinary Research, Taylor M. Sloey, Sierra Hildebrandt, Rebecca L. Morris, Matthew V. Bilskie, Aaron Bland, David Bushek, Gabriella Dipetto, Daniel Elefant, Vincent Encomio, Ramin Familkhalili, Christine Hladik, Danielle Kreeger, Avery B. Paxton, Cindy M. Palinkas, Latina Steele, Andrew Scheld, Daisuke Taira, Jason D. Toft, Armando J. Ubeda, Christine Whitcraft, Donna Marie Bilkovic
A Blueprint To Greener Shorelines: Advancing The Effectiveness, Sustainability, And Widespread Adoption Of Coastal Nature-Based Solutions Through Transdisciplinary Research, Taylor M. Sloey, Sierra Hildebrandt, Rebecca L. Morris, Matthew V. Bilskie, Aaron Bland, David Bushek, Gabriella Dipetto, Daniel Elefant, Vincent Encomio, Ramin Familkhalili, Christine Hladik, Danielle Kreeger, Avery B. Paxton, Cindy M. Palinkas, Latina Steele, Andrew Scheld, Daisuke Taira, Jason D. Toft, Armando J. Ubeda, Christine Whitcraft, Donna Marie Bilkovic
Biological Sciences Faculty Publications
Coastal nature-based solutions (NbS) have emerged as powerful tools to enhance sustainable development and ecological restoration goals. As a rapidly growing field spanning across social, political, ecological, economic, and engineering disciplines, it is critical that researchers working in coastal NbS regularly attempt to identify emerging focal areas for scientific inquiry. Following the 27th Biennial meeting of the Coastal and Estuarine Research Federation, we provide a transdisciplinary perspective (including biologists, engineers, oceanographers, geoscientists, economists, and facilitators of workforce training programs) of pertinent research questions that, if answered, will advance the effectiveness, sustainability, and widespread adoption of coastal NbS. These suggestions for …
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang
ODU Articles
Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …
Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda
Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda
Electronic Theses and Dissertations
No abstract provided.
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington
School of Cybersecurity Faculty Publications
Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity across the nation and improve mobility. Reaching these characteristics demands good traffic volume prediction methods, not only in the short term but also in the long term, which helps design transportation strategies and road planning. However, most of the research has focused on short-term prediction, applied mostly to short-trip distances, while effective long-term forecasting, which has become a challenging issue …
Security Enhancement In Uav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar
Security Enhancement In Uav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar
School of Cybersecurity Faculty Publications
As cyber-physical systems (CPSs) increasingly integrate physical and digital realms, securing critical infrastructure, such as the Port of Virginia, becomes paramount. Among CPSs, Unmanned Aerial Vehicles (UAVs) are vital for monitoring, communication, and supporting the command and control through remote reconnaissance and surveillance missions. These UAV applications often require coordination, planning, and runtime reconfiguration, traditionally managed by human decision-makers. However, this approach has limitations, as extensively documented in the literature. Artificial Intelligence (AI) has emerged as a pivotal tool to address these limitations, enhancing risk mitigation and informed decision-making. This research proposes a machine learning (ML) based security mechanism, leveraging …
In-Season Nitrogen Mmanagement: Leveraging Data Visualization For Precision Agriculture, Chathurika Harshani Narayana
In-Season Nitrogen Mmanagement: Leveraging Data Visualization For Precision Agriculture, Chathurika Harshani Narayana
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Effective nitrogen management is vital for sustainable agriculture, impacting both crop yield and environmental health. Traditional methods often use fixed application rates set before planting, which do not adapt to changing crop needs during the season. This can lead to over- or under-application, reducing efficiency and sustainability. While modern tools like sensors, satellites, and UAVs provide valuable real-time data on crop and field conditions, integrating and using this data to guide timely nitrogen decisions remains a major challenge. In-season nitrogen management offers a solution by allowing for dynamic adjustments to nitrogen applications, addressing crop needs as they arise. This approach …
Enhancing Risk And Crisis Communication With Computational Methods: A Systematic Literature Review, Madison H. Munro, Ross J. Gore, Christopher J. Lynch, Yvette D. Hastings, Ann Marie Reinhold
Enhancing Risk And Crisis Communication With Computational Methods: A Systematic Literature Review, Madison H. Munro, Ross J. Gore, Christopher J. Lynch, Yvette D. Hastings, Ann Marie Reinhold
VMASC Publications
Recent developments in risk and crisis communication (RCC) research combine social science theory and data science tools to construct effective risk messages efficiently. However, current systematic literature reviews (SLRs) on RCC primarily focus on computationally assessing message efficacy as opposed to message efficiency. We conduct an SLR to highlight any current computational methods that improve message construction efficacy and efficiency. We found that most RCC research focuses on using theoretical frameworks and computational methods to analyze or classify message elements that improve efficacy. For improving message efficiency, computational and manual methods are only used in message classification. Specifying the computational …
From Cyclones To Cybersecurity: A Call For Convergence In Risk And Crisis Communications Research, Ann Marie Reinhold, Ross J. Gore, Barry Ezell, Clemente I. Izurieta, Elizabeth A. Shanahan
From Cyclones To Cybersecurity: A Call For Convergence In Risk And Crisis Communications Research, Ann Marie Reinhold, Ross J. Gore, Barry Ezell, Clemente I. Izurieta, Elizabeth A. Shanahan
VMASC Publications
Effective risk and crisis communication can improve health and safety and reduce harmful effects of hazards and disasters. A robust body of literature investigates mechanisms for improving risk and crisis communication. While effective risk and crisis communication strategies are equally desired across different hazard types (e.g., natural hazards, cyber security), the extent to which risk and crisis communication experts utilize the “lessons learned” from scientific domains outside their own is suspect. Therefore, we hypothesized that risk and crisis communication research is siloed according to academic disciplines at the detriment to the advancement of the field of risk communications research writ …
Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Cities, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram
Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Cities, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram
VMASC Publications
An important challenge with Machine Learning (ML) is its transferability; i.e., whether a ML model trained on one set of data can be applied to a second set of data without requiring full re-training of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained on) to the target domain (a second set of data that is statistically different but related, which the model was not trained on). This study investigates the use of TL for street-scale nuisance flood forecasting by exploring whether a ML model trained for one …
Sex-Dependent Changes In Risk-Taking Predisposition Of Rats Following Space Radiation Exposure, Elliot Smits, Faith E. Reid, Ella N. Tamgue, Paola Alvarado Arriaga, Charles Nguyen, Richard A. Britten
Sex-Dependent Changes In Risk-Taking Predisposition Of Rats Following Space Radiation Exposure, Elliot Smits, Faith E. Reid, Ella N. Tamgue, Paola Alvarado Arriaga, Charles Nguyen, Richard A. Britten
Department Radiation Oncology & Biophysics Faculty Publications
The Artemis missions will establish a sustainable human presence on the Moon, serving as a crucial steppingstone for future Mars exploration. Astronauts on these ambitious missions will have to successfully complete complex tasks, which will frequently involve rapid and effective decision making under unfamiliar or high-pressure conditions. Exposure to low doses of space radiation (SR) can impair key executive functions critical to decision making. This study examined the effects of exposure to 10 cGy of Galactic Cosmic Ray simulated radiation (GCRsim) on decision-making performance in male and female rats with a naturally low predisposition for risk-taking (RTP) prior to exposure. …
A Two-Hit Model Of Executive Dysfunction: Simulated Galactic Cosmic Radiation Primes Latent Deficits Revealed By Sleep Fragmentation, Richard A. Britten, Ella N. Tamgue, Paola Arriaga Alvarado, Arriyam S. Fesshaye, Larry D. Sanford
A Two-Hit Model Of Executive Dysfunction: Simulated Galactic Cosmic Radiation Primes Latent Deficits Revealed By Sleep Fragmentation, Richard A. Britten, Ella N. Tamgue, Paola Arriaga Alvarado, Arriyam S. Fesshaye, Larry D. Sanford
Department Radiation Oncology & Biophysics Faculty Publications
Future Artemis-class missions to Mars will expose astronauts to prolonged space radiation (SR), sleep disruption, and operational demands requiring greater autonomy, placing decision making and executive function at heightened risk. Both SR and sleep fragmentation (SF) independently impair cognition, yet their combined effects remain poorly understood. Using the Associative Recognition Memory and Interference (ARMIT) task, we assessed cognitive performance in male rats exposed to 10 cGy of Galactic Cosmic Ray simulation (GCRsim), SF, or both. Under well-rested conditions, GCRsim-exposed rats exhibited overt deficits in the C.1.2 stage, performing at chance when reinforcement contingencies shifted, consistent with impaired cognitive flexibility. In …
Social Susceptibility-Driven Longitudinal Tornado Reconnaissance Methodology: 2021 Midwest Quad-State Tornado Outbreak, John W. Van De Lindt, Wanting "Lisa" Wang, Blythe Johnston, P. Shane Crawford, Guirong Yan, Thang Dao, Trung Do, Katie Skakel, Mojtaba Harati, Tu Nguyen, Robinson Umeike, Silvana Croope
Social Susceptibility-Driven Longitudinal Tornado Reconnaissance Methodology: 2021 Midwest Quad-State Tornado Outbreak, John W. Van De Lindt, Wanting "Lisa" Wang, Blythe Johnston, P. Shane Crawford, Guirong Yan, Thang Dao, Trung Do, Katie Skakel, Mojtaba Harati, Tu Nguyen, Robinson Umeike, Silvana Croope
Civil & Environmental Engineering Faculty Publications
With the impact of climate change, the intensity and frequency of tornado events have been increasing. Enhancing tornado reconnaissance methods can comprehensively capture building damage and recovery data following tornado events and outbreaks, thereby strengthening community resilience against the threat of future tornado events. Advancements in tornado data reconnaissance research have embraced remote sensing techniques to assess building damage after tornado events, supplanting traditional reconnaissance methods relying on handheld cameras with GIS mapping. Community resilience research offers a groundbreaking perspective, stressing the importance of assessing buildings throughout their recovery cycle-from damage and functionality to recovery-and considering their socioeconomic stability in …
Sustainable Management Of Erosive Shores: An Interdisciplinary Approach Integrating Engineering And Social Sciences At A Tide-Dominant Beach Area, Jun Ik Sohn, Hyun Dong Kim, Kiran Adhithya Ramakrishnan
Sustainable Management Of Erosive Shores: An Interdisciplinary Approach Integrating Engineering And Social Sciences At A Tide-Dominant Beach Area, Jun Ik Sohn, Hyun Dong Kim, Kiran Adhithya Ramakrishnan
Civil & Environmental Engineering Faculty Publications
This study investigates the causes and consequences of shoreline erosion at Kkotji Beach, a prominent tourist destination on the west coast of South Korea, where the degradation of the coastal environment has increasingly threatened the local tourism industry and economy, by employing a mixed-methods approach that combines field observations with MIKE 21 hydrodynamic simulations and by integrating perspectives from coastal engineering and the social sciences to develop practical, site-specific strategies for mitigating erosion, enhancing public awareness, and promoting sustainable coastal planning and development that support long-term environmental resilience and economic stability. The results show that dominant ebb currents drive southward …
Laboratory Investigation Of Shape And Initial Orientation Effects On Surf Zone Object Migration, Temitope E. Idowu, Jack A. Puleo
Laboratory Investigation Of Shape And Initial Orientation Effects On Surf Zone Object Migration, Temitope E. Idowu, Jack A. Puleo
Civil & Environmental Engineering Faculty Publications
Discarded objects like munitions in marine environments pose public safety risks. The behavior of various density objects deployed at four cross-shore positions in the surf zone of a large-scale 120 m x 5 m x 5 m wave flume were observed under different forcing conditions. Net migration was predominantly directed offshore, with approximately 70 % offshore migration observed near the outer surf zone. Density, shape, and initial orientation were identified as important to object behavior, with density acting as the dominant driver in 67 % of the object pairing scenarios. The influence of shape and initial orientation on net migration …
A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic
A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic
Educational Leadership & Workforce Development Faculty Publications
This 5‐year research project was based on an NSF S‐STEM research grant (1742118) focused on student veteran education and workforce preparation. We addressed STEM workforce and defence community needs by providing targeted scholarships and support for veteran students pursuing engineering degrees. Our aim was to enhance the workforce by improving access and success rates through financial and institutional support, while developing evidence‐based practices for recruitment, retention and graduation of student veterans. Through targeted interventions, we examined obstacles student veterans face in education and in engineering programs and increased their sense of camaraderie, career awareness, engineering identity, professional development, financial security …
Engagement In Practice: Partnering With Communities To Address Nuisance Flooding Challenges, Carol L. Considine, Mujde Erten-Unal, Dalya Ismael, Luka Alandra Hamal-Serenity, Farzaneh Soflaei
Engagement In Practice: Partnering With Communities To Address Nuisance Flooding Challenges, Carol L. Considine, Mujde Erten-Unal, Dalya Ismael, Luka Alandra Hamal-Serenity, Farzaneh Soflaei
Engineering Technology Faculty Publications
Many communities are already experiencing the impacts of climate change that disrupt their daily lives. In Coastal Virginia, these impacts take the form of nuisance and stormwater flooding caused by sea level rise and changes in precipitation. Coastal Virginia has one of the highest relative sea level rise rates on the Atlantic Coast and the regional planning district commission recommends that Atlas 14 rainfall intensity, duration, and frequency curves be increased by 20% to account for changes in rainfall. The Coastal Community Design Collaborative (CCDC), a partnership between Hampton University Architecture and Old Dominion University Engineering & Technology, has had …
From Equitable Access To Equitable Usage: Moving Towards Data-Driven, Evidence-Based Cycling Assets Management, Kewei Ren, Yunping Liang, Chun-Hsing Ho
From Equitable Access To Equitable Usage: Moving Towards Data-Driven, Evidence-Based Cycling Assets Management, Kewei Ren, Yunping Liang, Chun-Hsing Ho
Durham School of Architectural Engineering and Construction: Faculty Publications
Cycling is increasingly recognized for its wide range economic, environmental, and health benefits as a mobility option. However, disparities in the provision and the quality of bicycle infrastructure persists. Ensuring fair access and usage of these benefits for all presents a significant challenge. As a result, establishing effective methodologies to evaluate cycling equity is critically important. This paper synthesizes research on infrastructure asset management with a focus on equity considerations in bicycle infrastructure. A systematic review of 19 North American studies critically examines how existing research categorizes vulnerable populations and assesses fairness. The results reveal that most existing analyses focus …
Leveraging Transformer-Based Ocr Model With Generative Data Augmentation For Engineering Document Recognition, Wael Khallouli, Mohammad Shahab Uddin, Andres Sousa-Poza, Jiang Li, Samuel Kovacic
Leveraging Transformer-Based Ocr Model With Generative Data Augmentation For Engineering Document Recognition, Wael Khallouli, Mohammad Shahab Uddin, Andres Sousa-Poza, Jiang Li, Samuel Kovacic
Engineering Management & Systems Engineering Faculty Publications
The long-standing practice of document-based engineering has resulted in the accumulation of a large number of engineering documents across various industries. Engineering documents, such as 2D drawings, continue to play a significant role in exchanging information and sharing knowledge across multiple engineering processes. However, these documents are often stored in non-digitized formats, such as paper and portable document format (PDF) files, making automation difficult. As digital engineering transforms processes in many industries, digitizing engineering documents presents a crucial challenge that requires advanced methods. This research addresses the problem of automatically extracting textual content from non-digitized legacy engineering documents. We introduced …
Data-Driven Layout Design For Smart Remanufacturing: A Flexible Optimization Model And A Case Study, J. A. Afari, A. Gosavi, J. Hu, R. J. Marley
Data-Driven Layout Design For Smart Remanufacturing: A Flexible Optimization Model And A Case Study, J. A. Afari, A. Gosavi, J. Hu, R. J. Marley
Engineering Management and Systems Engineering Faculty Research & Creative Works
Abstract: In remanufacturing, a vital segment of the sustainable, low-carbon circular economy, existing versions of the traditional unequal-areas facility layout problem (UA-FLP) model face significant limitations in designing layouts. To be specific, in the process of minimizing the material-handling cost (MHC), these models also alter departmental dimensions, often diverging from construction specifications. This poses a difficulty, as critical equipment required for remanufacturing, e.g., sorting and cleaning machines, have unalterable dimensions, which implies that departmental dimensions cannot be changed from specifications provided. To address this, a novel Flexible Envelope UA-FLP (FE-UA-FLP) model is proposed in this work for designing layouts wherein …
Improving System-Level Outcomes Via Artificial Intelligence Decision Support In Kidney Utilization, Casey I. Canfield, Cihan H. Dagli, Daniel Burton Shank, Krista Lentine, Mark Schnitzler, Henry Randall, V. Sriram Siddhardh Nadendla, Brendon Cummiskey
Improving System-Level Outcomes Via Artificial Intelligence Decision Support In Kidney Utilization, Casey I. Canfield, Cihan H. Dagli, Daniel Burton Shank, Krista Lentine, Mark Schnitzler, Henry Randall, V. Sriram Siddhardh Nadendla, Brendon Cummiskey
Engineering Management and Systems Engineering Faculty Research & Creative Works
Transplantation provides patients suffering from end-stage kidney disease a better quality of life and long-term survival. However, over 20% of deceased donor kidneys are not utilized and never transplanted. While this is sometimes medically appropriate, this also reflects missed opportunities. We are designing Artificial Intelligence decision support for the kidney offer process to support both demand at the transplant center and supply at the organ procurement organization. This includes (1) developing deep learning models, (2) evaluating the effect of explainable interfaces, (3) improving fairness in the model output, (4) identifying factors that influence adoption decisions, and (5) conducting a randomized …
Embrace The Journey: Exploring Induction Experiences Of Teachers In Ohio Independent Stem Schools, Laura Sass
Embrace The Journey: Exploring Induction Experiences Of Teachers In Ohio Independent Stem Schools, Laura Sass
Indiana STEM Education Conference
The beginning years of a new teacher are a critical period. This study investigated perceptions of induction activities of new teachers in Ohio Independent STEM schools. STEM-based pedagogies such as problem-based learning and inquiry are core strategies in STEM schools but can be new for beginning teachers. Through a Q-sort, thirteen participants from three Independent STEM Schools ranked statements on a +5 to -5 scale of agreement. This along with a post-sort survey resulted in themes. Positive school culture and colleague collaboration and the impact of the mentoring were found to be the most impactful. This research aligns with literature …