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Articles 811 - 840 of 12157
Full-Text Articles in Entire DC Network
Empowering Capacitive Devices: Harnessing Transfer Learning For Enhanced Data-Driven Optimization, Teslim Olayiwola, Revati Kumar, Jose A. Romagnoli
Empowering Capacitive Devices: Harnessing Transfer Learning For Enhanced Data-Driven Optimization, Teslim Olayiwola, Revati Kumar, Jose A. Romagnoli
Faculty Publications
Developing data-driven models has found successful applications in engineering tasks, such as material design, process modeling, and process monitoring. In capacitive devices like deionization and supercapacitors, there exists potential for applying this data-driven machine learning (ML) model in optimizing its potential use in energy-efficient separations or energy generation. However, these models are faced with limited datasets, and even in large quantities, the datasets are incomplete, limiting their potential use for successful data-driven modeling. Here, the success of transfer learning in resolving the challenges with limited datasets was exploited. A two-step data-driven ML modeling framework named ImputeNet involving training with ML-imputed …
Mdf-Dta: A Multi-Dimensional Fusion Approach For Drug-Target Binding Affinity Prediction, Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay
Mdf-Dta: A Multi-Dimensional Fusion Approach For Drug-Target Binding Affinity Prediction, Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay
Faculty Publications
Drug-target affinity (DTA) prediction is an important task in the early stages of drug discovery. Traditional biological approaches are time-consuming, effort-consuming, and resource-consuming due to the large size of genomic and chemical spaces. Computational approaches using machine learning have emerged to narrow down the drug candidate search space. However, most of these prediction models focus on single feature encoding of drugs and targets, ignoring the importance of integrating different dimensions of these features. We propose a deep learning-based approach called Multi-Dimensional Fusion for Drug Target Affinity Prediction (MDF-DTA) incorporating different dimensional features. Our model fuses 1D, 2D, and 3D representations …
Resolving The Term "Offshore Aquaculture" By Decoupling "Exposed" And "Distance From The Coast", Bela H. Buck, Hans V. Bjelland, Abigail Bockus, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Joao G. Ferreira, Heidi Moe Føre, David W. Fredriksson, Nils Goseberg, John Holmyard, Wolf Isbert, Gesche Krause, Till Markus, Nikos Papandroulakis, Tyler Sclodnick, Bill Silkes, Åsa Strand, Max Troell, Daniel Wieczorek, Sander W K Van Den Burg, Kevin G. Heasman
Resolving The Term "Offshore Aquaculture" By Decoupling "Exposed" And "Distance From The Coast", Bela H. Buck, Hans V. Bjelland, Abigail Bockus, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Joao G. Ferreira, Heidi Moe Føre, David W. Fredriksson, Nils Goseberg, John Holmyard, Wolf Isbert, Gesche Krause, Till Markus, Nikos Papandroulakis, Tyler Sclodnick, Bill Silkes, Åsa Strand, Max Troell, Daniel Wieczorek, Sander W K Van Den Burg, Kevin G. Heasman
Faculty Publications
The terms “offshore” and “open ocean” have been used to describe aquaculture sites that are further from the coast or in higher energy environments. Neither term has been clearly defined in the scientific literature nor in a legal context, and the terms are often used interchangeably. These and other related terms (for example “exposed”, “high-energy”) variously refer to aspects of a site such as the geographic distance from shore or infrastructure, the level of exposure to large waves and strong currents, the geographic fetch, the water depth, or some combination of these parameters. The ICES Working Group (ICES, 2024) on …
Resolving The Term "Offshore Aquaculture" By Decoupling "Exposed" And "Distance From The Coast", Bela H. Buck, Hans V. Bjelland, Abigail Bockus, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Joao G. Ferreira, Heidi Moe Føre, David W. Fredriksson, Nils Goseberg, John Holmyard, Wolf Isbert, Gesche Krause, Till Markus, Nikos Papandroulakis, Tyler Sclodnick, Bill Silkes, Åsa Strand, Max Troell, Daniel Wieczorek, Sander W K Van Den Burg, Kevin G. Heasman
Resolving The Term "Offshore Aquaculture" By Decoupling "Exposed" And "Distance From The Coast", Bela H. Buck, Hans V. Bjelland, Abigail Bockus, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Joao G. Ferreira, Heidi Moe Føre, David W. Fredriksson, Nils Goseberg, John Holmyard, Wolf Isbert, Gesche Krause, Till Markus, Nikos Papandroulakis, Tyler Sclodnick, Bill Silkes, Åsa Strand, Max Troell, Daniel Wieczorek, Sander W K Van Den Burg, Kevin G. Heasman
Faculty Publications
The terms “offshore” and “open ocean” have been used to describe aquaculture sites that are further from the coast or in higher energy environments. Neither term has been clearly defined in the scientific literature nor in a legal context, and the terms are often used interchangeably. These and other related terms (for example “exposed”, “high-energy”) variously refer to aspects of a site such as the geographic distance from shore or infrastructure, the level of exposure to large waves and strong currents, the geographic fetch, the water depth, or some combination of these parameters. The ICES Working Group (ICES, 2024) on …
A Roadmap To The Next-Generation Technology-Enabled Learning-Centered Environments In Aec Education, Yimin Zhu, Amirhosein Jafari, Amir H. Behzadan, Raja R.A. Issa
A Roadmap To The Next-Generation Technology-Enabled Learning-Centered Environments In Aec Education, Yimin Zhu, Amirhosein Jafari, Amir H. Behzadan, Raja R.A. Issa
Faculty Publications
The architecture, engineering, and construction (AEC) education communities are increasingly facing challenges caused by social, technological, economic, environmental, and political changes. Addressing these issues requires AEC educators and practitioners to systematically rethink and reform many of their current practices. Anecdotal evidence in AEC education already exists with respect to pedagogical improvements made by individual technologies such as immersive computing, artificial intelligence, robotics, big data, cyberinfrastructure, and photogrammetry. However, an effective learning-centered environment is more complex than what any single technology can accomplish. In addition, the relationship between technology-intensive learning and digital inequity in AEC education remains, to the most extent, …
A Compressive Load Bearing Analysis Of 3d-Printed Circular Elements, Ilerioluwa Giwa, Ali Kazemian, Vijaya Gopu, Tyson Rupnow
A Compressive Load Bearing Analysis Of 3d-Printed Circular Elements, Ilerioluwa Giwa, Ali Kazemian, Vijaya Gopu, Tyson Rupnow
Faculty Publications
Large-scale construction 3D printing is a promising platform technology that can be leveraged to fabricate structural elements such as columns, piers, pipes, and culverts. In this study, the axial compression and split tensile performance of 3D-printed steel-fiber-reinforced circular elements fabricated with different configurations (hollow, hybrid, mold-cast, and fully 3D-printed) is evaluated. This study further investigates the performance of multi-material circular hybrid elements (3D-printed shells with different backfilled core materials) in an attempt to assess their suitability as a new construction paradigm. The experimental results revealed that the fully 3D-printed steel-fiber-reinforced circular elements exhibited a higher load capacity (up to 36%) …
Black And Latiné Parents' Perspectives On Supporting Their Children's Emotional And Physical Health, Daniel K. Cooper, Jayxa K. Alonzo, Tracey Goldson, Isabel R. Jordan, Fatima Jatoi, Isabella Mallozzi, Francesca Lupini
Black And Latiné Parents' Perspectives On Supporting Their Children's Emotional And Physical Health, Daniel K. Cooper, Jayxa K. Alonzo, Tracey Goldson, Isabel R. Jordan, Fatima Jatoi, Isabella Mallozzi, Francesca Lupini
Faculty Publications
Informed by integrative models of cultural resilience, the purpose of this study was to (a) explore how parents are promoting their children's emotional and physical health, with a focus on race and ethnic-racial socialization strategies, and (b) identify the barriers and challenges parents are experiencing in supporting their children's health. Ethnically racially matched qualitative interviews were conducted with 33 parents (82% women, 64% Black, 36% Latiné). Results of thematic analysis revealed three overarching themes: (a) Strategies for Promoting Children's Physical and Emotional Health, (b) Challenges Promoting Children's Physical and Emotional Health, and (c) Impact of Racism on Parenting and Children's …
Solving Unsteady Potential Flow Problems In O(N) Time, Ryan Anderson, Andrew Ning
Solving Unsteady Potential Flow Problems In O(N) Time, Ryan Anderson, Andrew Ning
Faculty Publications
Design of vertical takeoff and landing aircraft is challenging in part due to significant aerodynamic interactions between rotors and wings. Computational models can aid in their design, but are computationally expensive. 3-D panel methods coupled with vortex particle wakes offer an attractive solution, but solving for the panel strengths scales poorly for large problems. Multigrid methods, such as Krylov subspace methods in conjunction with the fast multipole method (FMM), have been demonstrated to reduce the scaling to O(𝑁). We explore the performance and limitations of the Krylov-FMM method, traditional matrix-powered GMRES, LU decomposition, and a novel O(𝑁) multigrid approach to …
An Integrated Space Test Lexicon: A Taxonomy For The Integrated Test And Evaluation Of Space Systems, Stephen K. Tullino, Andrew S. Keys, Robert A. Bettinger, Amy M. Cox, David R. Jacques
An Integrated Space Test Lexicon: A Taxonomy For The Integrated Test And Evaluation Of Space Systems, Stephen K. Tullino, Andrew S. Keys, Robert A. Bettinger, Amy M. Cox, David R. Jacques
Faculty Publications
The proposed Integrated Space Test Lexicon is intended to amalgamate the numerous definitions of integrated (IT or IT&E), development test (DT or DT&E), and operational test (OT or OT&E) into unified, service-wide definitions, aligned with the Space Test Enterprise Vision. Refining such definitions will help distill the core characteristics of these fundamental test types to first identify space system activities composing what is traditionally known as DT and OT, then to provide a means of how these activities fit into the IT paradigm and support space system development. In forging a common understanding of how DT and OT support space …
"The Law Doesn't Work Like A Computer": Exploring Software Licensing Issues Faced By Legal Practitioners, Nathan Wintersgill, Trevor Stalnaker, Laura A. Heymann, Oscar Chaparro, Denys Poshyvanyk
"The Law Doesn't Work Like A Computer": Exploring Software Licensing Issues Faced By Legal Practitioners, Nathan Wintersgill, Trevor Stalnaker, Laura A. Heymann, Oscar Chaparro, Denys Poshyvanyk
Faculty Publications
Most modern software products incorporate open source components, which requires compliance with each component’s licenses. As noncompliance can lead to significant repercussions, organizations often seek advice from legal practitioners to maintain license compliance, address licensing issues, and manage the risks of noncompliance. While legal practitioners play a critical role in the process, little is known in the software engineering community about their experiences within the open source license compliance ecosystem. To fill this knowledge gap, a joint team of software engineering and legal researchers designed and conducted a survey with 30 legal practitioners and related occupations and then held 16 …
Wood Ducks And Hooded Mergansers As Interspecific Brood Parasites: An Evaluation Of Parasitic Egg Survival, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds, Richard M. Kaminski, Scott E. Stephens, J. Brian Davis
Wood Ducks And Hooded Mergansers As Interspecific Brood Parasites: An Evaluation Of Parasitic Egg Survival, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds, Richard M. Kaminski, Scott E. Stephens, J. Brian Davis
Faculty Publications
Conspecific and interspecific brood parasitism are alternate reproductive strategies more pervasive in waterfowl than in any other group of birds. While previous research has measured costs incurred by nest hosts incubating parasitized clutches, few studies have focused on the relative success of parasites. Here, we evaluated the success of wood duck (Aix sponsa) and hooded merganser (Lophodytes cucullatus) eggs laid parasitically in Louisiana and Mississippi. We monitored nest boxes, assigned eggs in each nest as host or parasitic, and determined the number of eggs that hatched and failed. Across all study areas (1994–1999 and 2020–2023), we monitored 1750 wood duck …
Wood Duck Nest Survival And Duckling Recruitment Is Minimally Affected By Interspecific Brood Parasitism From Hooded Mergansers And Black-Bellied Whistling-Ducks, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds
Wood Duck Nest Survival And Duckling Recruitment Is Minimally Affected By Interspecific Brood Parasitism From Hooded Mergansers And Black-Bellied Whistling-Ducks, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds
Faculty Publications
In the southeastern United States, wood ducks (Aix sponsa) have historically experienced interspecific brood parasitism (IBP) primarily from hooded mergansers (Lophodytes cucullatus), but the recent northward expansion of black-bellied whistling-ducks (Dendrocygna autumnalis) has added a new complexity to these interactions. We monitored nest boxes in Louisiana to evaluate the influence IBP had on wood duck daily nest survival rate (after, DSR) and duckling recruitment. We monitored 1,295 wood duck nests from 2020−2023 and found 112 (8.7%) were parasitized by hooded mergansers and 148 (11.5%) by whistling-ducks. Parasitic egg-laying by hooded mergansers lowered wood duck DSR, while DSR for nests parasitized …
Constraining Possible Γ-Ray Burst Emission From Gw230529 Using Swift-Bat And Fermi-Gbm, Samuele Ronchini, Suman Bala, Joshua Wood, James Delaunay, Simone Dichiara, Jamie A. Kennea, Tyler Parsotan, Gayathri Raman, Aaron Tohuvavohu, Naresh Adhikari, Narayana P. Bhat, Sylvia Biscoveanu, Elisabetta Bissaldi, Eric Burns, Sergio Campana, Koustav Chandra, William H. Cleveland, Sarah Dalessi, Massimiliano De Pasquale, Juan García-Bellido, Claudio Gasbarra, Misty M. Giles, Ish Gupta, Dieter Hartmann, Boyan A. Hristov, Michelle C. Hui, Rahul Kashyap, Daniel Kocevski, Bagrat Mailyan, Christian Malacaria, Hiroyuki Nakano, Giacomo Principe, Oliver J. Roberts
Constraining Possible Γ-Ray Burst Emission From Gw230529 Using Swift-Bat And Fermi-Gbm, Samuele Ronchini, Suman Bala, Joshua Wood, James Delaunay, Simone Dichiara, Jamie A. Kennea, Tyler Parsotan, Gayathri Raman, Aaron Tohuvavohu, Naresh Adhikari, Narayana P. Bhat, Sylvia Biscoveanu, Elisabetta Bissaldi, Eric Burns, Sergio Campana, Koustav Chandra, William H. Cleveland, Sarah Dalessi, Massimiliano De Pasquale, Juan García-Bellido, Claudio Gasbarra, Misty M. Giles, Ish Gupta, Dieter Hartmann, Boyan A. Hristov, Michelle C. Hui, Rahul Kashyap, Daniel Kocevski, Bagrat Mailyan, Christian Malacaria, Hiroyuki Nakano, Giacomo Principe, Oliver J. Roberts
Faculty Publications
GW230529 is the first compact binary coalescence detected by the LIGO-Virgo-KAGRA collaboration with at least one component mass confidently in the lower mass gap, corresponding to the range 3-5 M ⊙. If interpreted as a neutron star-black hole merger, this event has the most symmetric mass ratio detected so far and therefore has a relatively high probability of producing electromagnetic (EM) emission. However, no EM counterpart has been reported. At the merger time t 0, Swift-BAT and Fermi-GBM together covered 100% of the sky. Performing a targeted search in a time window [t 0 − 20 s, t 0 + …
An Ixpe-Led X-Ray Spectropolarimetric Campaign On The Soft State Of Cygnus X-1: X-Ray Polarimetric Evidence For Strong Gravitational Lensing, James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski, Michal Dovčiak, Alexandra Veledina, Fabio Muleri, Jiri Svoboda, Kevin Alabarta, Maxime Parra, Yash Bhargava, Giorgio Matt, Juri Poutanen, Pierre Olivier Petrucci, Allyn F. Tennant, M. Cristina Baglio, Luca Baldini, Samuel Barnier, Sudip Bhattacharyya, Stefano Bianchi, Maimouna Brigitte, Mauricio Cabezas, Floriane Cangemi, Fiamma Capitanio, Jacob Casey, Nicole Rodriguez Cavero, Simone Castellano, Elisabetta Cavazzuti, Sohee Chun, Eugene Churazov, Enrico Costa, Niccolò Di Lalla, Alessandro Di Marco
An Ixpe-Led X-Ray Spectropolarimetric Campaign On The Soft State Of Cygnus X-1: X-Ray Polarimetric Evidence For Strong Gravitational Lensing, James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski, Michal Dovčiak, Alexandra Veledina, Fabio Muleri, Jiri Svoboda, Kevin Alabarta, Maxime Parra, Yash Bhargava, Giorgio Matt, Juri Poutanen, Pierre Olivier Petrucci, Allyn F. Tennant, M. Cristina Baglio, Luca Baldini, Samuel Barnier, Sudip Bhattacharyya, Stefano Bianchi, Maimouna Brigitte, Mauricio Cabezas, Floriane Cangemi, Fiamma Capitanio, Jacob Casey, Nicole Rodriguez Cavero, Simone Castellano, Elisabetta Cavazzuti, Sohee Chun, Eugene Churazov, Enrico Costa, Niccolò Di Lalla, Alessandro Di Marco
Faculty Publications
We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May-June. Companion multiwavelength data during the campaign are likewise shown. The 2-8 keV X-rays exhibit a net polarization degree PD = 1.99% ± 0.13% (68% confidence). The polarization signal is found to increase with energy across the Imaging X-ray Polarimetry Explorer’s (IXPE) 2-8 keV bandpass. The polarized X-rays exhibit an energy-independent polarization angle of PA = −25.°7 ± 1.°8 east of north (68% confidence). This is consistent with being aligned to Cyg X-1’s au-scale compact radio …
Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso
Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso
Faculty Publications
The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …
Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus
Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus
Faculty Publications
Studying the spatiotemporal dynamics of crime is crucial for accurate crime geography research. While studies have examined crime patterns related to weekdays, seasons, and specific events, there is a noticeable gap in research on nighttime crimes. This study focuses on crimes occurring during the nighttime, investigating the temporal definition of nighttime crime and the correlation between nighttime lights and criminal activities. The study concentrates on four types of nighttime crimes, assault, theft, burglary, and robbery, conducting univariate and multivariate analyses. In the univariate analysis, correlations between nighttime crimes and nighttime light (NTL) values detected in satellite images and between streetlight …
Presidential Stories Of Fear: Focusing Congressional Climate Change Mitigation Attention In The United States, Holly L. Peterson, Chad Zanocco
Presidential Stories Of Fear: Focusing Congressional Climate Change Mitigation Attention In The United States, Holly L. Peterson, Chad Zanocco
Faculty Publications
Do presidential climate change narratives increase related congressional attention in the United States? Narrative theory says since narratives leverage cognitive heuristics, they should focus policy-making attention in institutions more efficiently than non-narrative statements. This study identifies and tests climate change statements and narratives, including those focused on solutions, or “stories of hope,” and those focused on problems and victims, “stories of fear,” for relationships with congressional attention using time series analysis. Findings suggest a relationship between narrative and hearings, but not for non-narrative statements and hearings. Furthermore, while narratives are related to hearings generally, stories of fear have larger effects, …
Improving Asphalt Binder Durability Using Sustainable Materials: A Rheological And Chemical Analysis Of Polymer-, Rubber-, And Epoxy-Modified Asphalt Binders, Anas Abualia, Moses Akentuna, Louay N. Mohammad, Samuel B. Cooper, Samuel B. Cooper
Improving Asphalt Binder Durability Using Sustainable Materials: A Rheological And Chemical Analysis Of Polymer-, Rubber-, And Epoxy-Modified Asphalt Binders, Anas Abualia, Moses Akentuna, Louay N. Mohammad, Samuel B. Cooper, Samuel B. Cooper
Faculty Publications
When exposed to sun radiation and heat, asphalt binders age, resulting in reduced flexibility, cracking, and pavement failure. Given the increasing demands of traffic, environmental concerns, and resource scarcity, highway agencies and researchers are actively seeking solutions that meet performance requirements and demonstrate awareness of using non-renewable resources. Epoxy asphalt (EA) promotes sustainability concepts due to its production at significantly lower mixing and compaction temperatures, enhanced durability, improved serviceability, reduced maintenance needs, and successful recycling and reuse in hot asphalt mixtures. Crumb rubber, a widely recognized recycled waste tire material, is considered a viable option for promoting sustainability and enhancing …
A Review Of The Rheological Consistency Of Materials, Alan Gurt, Michael Khonsari
A Review Of The Rheological Consistency Of Materials, Alan Gurt, Michael Khonsari
Faculty Publications
Despite the ubiquity and prevalence of rheological consistency across a wide range of industries, there is no clear consensus on its meaning or on one particular technique for quantifying it. Instead, there exist various definitions of “consistency” that are each specific to a given context, and each industry has its own procedure for measuring it. This paper organizes the many subjects and terminologies associated with consistency, providing a comprehensive guide of fundamental mechanics, fundamental properties, modeling techniques, and standardized tests that describe consistency. This includes outlining the rheological models that describe the behavior of viscoelastic and non-Newtonian materials as well …
A Facile And Sustainable Integrated Fabrication Strategy For Multi-Performance 316l Stainless Steel, Yang Yang, Yi Zhu, Michael M. Khonsari, Sai Wang, Wei Song, Huayong Yang, Yu Zhang
A Facile And Sustainable Integrated Fabrication Strategy For Multi-Performance 316l Stainless Steel, Yang Yang, Yi Zhu, Michael M. Khonsari, Sai Wang, Wei Song, Huayong Yang, Yu Zhang
Faculty Publications
Additive manufacturing enables innovative design and integrated manufacturing of complex components. Metallic components with multi-performance and high reliability are always desirable for a broad range of high-end industries. Multi-material additive manufacturing is a promising way to provide multiple performances, yet there exist several persistent challenges on multi-material sustainability and recycling, interfacial defects and strength, dimensional accuracy and fineness, and manufacturing efficiency and cost, prohibiting its widespread practical applications. In this study, we introduce an additive/modification integrated manufacturing (AMIM) strategy for fabricating highly reliable multi-performance metals using only a single material with a one-step process. We demonstrate that, through a unique …
Deep Learning-Based Geomorphic Feature Identification In Dredge Pit Marine Environment, Wenqiang Zhang, Xiaobing Chen, Xiangwei Zhou, Jianhua Chen, Jianguo Yuan, Taibiao Zhao, Kehui Xu
Deep Learning-Based Geomorphic Feature Identification In Dredge Pit Marine Environment, Wenqiang Zhang, Xiaobing Chen, Xiangwei Zhou, Jianhua Chen, Jianguo Yuan, Taibiao Zhao, Kehui Xu
Faculty Publications
Deep learning methods paired with sidescan sonar (SSS) are commonly used in underwater search-and-rescue operations for drowning victims, wrecks, and airplanes. However, these techniques are primarily used to detect mine-like objects and are rarely applied to identifying features in dynamic dredge pit environments. In this study, we present a Sandy Point dredge pit (SPDP) dataset, in which high-resolution SSS data were collected from the west flank of the Mississippi bird-foot delta on the Louisiana inner shelf. This dataset contains a total of 385 SSS images. We then introduce a new Effective Geomorphology Classification model (EGC). Through ablation studies, we analyze …
On Enhancing Memory Forensics With Fame: Framework For Advanced Monitoring And Execution, Taha Gharaibeh, Ibrahim Baggili, Anas Mahmoud
On Enhancing Memory Forensics With Fame: Framework For Advanced Monitoring And Execution, Taha Gharaibeh, Ibrahim Baggili, Anas Mahmoud
Faculty Publications
Memory Forensics (MF) is an essential aspect of digital investigations, but practitioners often face time-consuming challenges when using popular tools like the Volatility Framework (VF). VF, a widely-adopted Python-based memory forensics tool, presents difficulties for practitioners due to its slow performance. Thus, in this study, we evaluated methods to accelerate VF without modifying its code by testing four alternative Python Just In Time (JIT) interpreters - CPython, Pyston, PyPy, and Pyjion - using CPython as our baseline. Tests were conducted on 14 memory samples, totaling 173 GB, using a search-intensive VF plugin for Windows hosts. Employing our custom Framework for …
Analyzing Thermal Maturity Effect On Shale Organic Matter Via Peakforce Quantitative Nanomechanical Mapping, Chioma Onwumelu, Oladoyin Kolawole, Stephan Nordeng, Olufemi Olorode
Analyzing Thermal Maturity Effect On Shale Organic Matter Via Peakforce Quantitative Nanomechanical Mapping, Chioma Onwumelu, Oladoyin Kolawole, Stephan Nordeng, Olufemi Olorode
Faculty Publications
Organic-rich shales have gained significant attention in recent years due to their pivotal role in unconventional hydrocarbon production. These shale rocks undergo thermal maturation processes that alter their mechanical properties, making their study essential for subsurface operations. However, characterizing the mechanical properties of organic-rich shale is often challenging due to its multiscale nature and complex composition. This work aims to bridge that knowledge gap to fully understand the nanomechanical properties of Shale organic matter at various thermal maturation stages. This study employs PeakForce Quantitative Nanomechanical Mapping (PF-QNM) using Atomic Force Microscopy (AFM) to investigate how changes at the immature, early …
Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron
Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron
Faculty Publications
We investigate the long-term persistence of solar energetic particle (SEP) time series by means of four different methods: Hurst rescaled range R/S analysis, detrended fluctuation analysis, centered moving average analysis, and the fluctuation of natural time under the time reversal method. For these analyses, we use data sets from the Integrated Science Investigation of the Sun instrument suite on board NASA's Parker Solar Probe. Background systematic noise is modeled using cross-correlation analysis between different SEP energy channels and subtracted from the original data. The use of these four methods for deriving the time-series persistence allows us to (i) differentiate between …
Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron
Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron
Faculty Publications
We investigate the long-term persistence of solar energetic particle (SEP) time series by means of four different methods: Hurst rescaled range R/S analysis, detrended fluctuation analysis, centered moving average analysis, and the fluctuation of natural time under the time reversal method. For these analyses, we use data sets from the Integrated Science Investigation of the Sun instrument suite on board NASA's Parker Solar Probe. Background systematic noise is modeled using cross-correlation analysis between different SEP energy channels and subtracted from the original data. The use of these four methods for deriving the time-series persistence allows us to (i) differentiate between …
Sediment Ballast Accelerates Sinking Of Alaska North Slope Crude Oil Measured Ex Situ With Surface Water From Cook Inlet, Jesse Ross, Nancy Kinner, Susan Saupe, Kai Ziervogel
Sediment Ballast Accelerates Sinking Of Alaska North Slope Crude Oil Measured Ex Situ With Surface Water From Cook Inlet, Jesse Ross, Nancy Kinner, Susan Saupe, Kai Ziervogel
Faculty Publications
Oil spilled into the ocean interacts with suspended matter forming aggregates that transport oil into subsurface layers and towards the bottom. We conducted a series of laboratory experiments to explore aggregation of oil with natural phytoplankton assemblages from Cook Inlet, Alaska at three times during a spring bloom. Oil and phytoplankton formed marine oil snow (MOS) that remained positively buoyant with a small fraction of MOS sinking to the bottom of our experimental bottles. Seawater treatments amended with suspended sediments formed oil-mineral aggregates (OMAs) with an oil capacity similar to MOS (∼20% of aggregate area was covered with oil). OMAs …
Geometrically Exact Beam Theory For Gradient-Based Optimization, Taylor Mcdonnell, Andrew Ning
Geometrically Exact Beam Theory For Gradient-Based Optimization, Taylor Mcdonnell, Andrew Ning
Faculty Publications
Decades of research have progressed geometrically exact beam theory to the point where it is now an invaluable resource for analyzing and modeling highly flexible slender structures. Large-scale optimization using geometrically exact beam theory remains nontrivial, however, due to the inability of gradient-free optimizers to handle large numbers of design variables in a computationally efficient manner and the difficulties associated with obtaining smooth, accurate, and efficiently calculated design sensitivities for gradient-based optimization. To overcome these challenges, this paper presents a finite-element implementation of geometrically exact beam theory which has been developed specifically for gradient-based optimization. A key feature of this …
Characteristics Of Pyrolysis Products Of California Chaparral And Their Potential Effect On Wildland Fires, Mahsa Alizadeh, David R. Weise, Thomas H. Fletcher
Characteristics Of Pyrolysis Products Of California Chaparral And Their Potential Effect On Wildland Fires, Mahsa Alizadeh, David R. Weise, Thomas H. Fletcher
Faculty Publications
The aim of this study was to investigate the pyrolysis of selected California foliage and estimate the energy content of the released volatiles to show the significance of the pyrolysis of foliage and its role during wildland fires. While the majority of the volatiles released during the pyrolysis of foliage later combust and promote fire propagation, studies on the energy released from combustion of these compounds are scarce. Samples of chamise (Adenostoma fasciculatum), Eastwood’s manzanita (Arctostaphylos glandulosa), scrub oak (Quercus berberidifolia), hoaryleaf ceanothus (Ceanothus crassifolius), all native to southern California, and sparkleberry …
Derivative Propagation Through Vortex Particle Method Simulation, Eric Green, Andrew Ning
Derivative Propagation Through Vortex Particle Method Simulation, Eric Green, Andrew Ning
Faculty Publications
Automatic differentiation (AD) is a powerful tool for evaluating numerical derivatives. In particular, reverse-mode AD provides numerical gradients in a way that is insensitive to the number of input variables. This makes reverse-mode AD well-suited for solving large optimization problems. However, reverse-mode AD has a particularly large associated memory cost because most intermediate values in operations need to be cached. This is problematic for large problems such as aerodynamics simulations, though, since the memory requirements can quickly become impractical. The solution implemented in this work is to provide analytic pullback expressions for functions for which many of the intermediate values …
Trajectory Optimization Of Evtol And Conventional Aircraft: A Comparative Analysis Of Vortex Particle Method And Vortex Lattice + Blade Element Momentum Theory, Andrew Tagg, Ryan Anderson, Cibin Joseph, Andrew Ning
Trajectory Optimization Of Evtol And Conventional Aircraft: A Comparative Analysis Of Vortex Particle Method And Vortex Lattice + Blade Element Momentum Theory, Andrew Tagg, Ryan Anderson, Cibin Joseph, Andrew Ning
Faculty Publications
Trajectory optimization of aircraft transition maneuvers can significantly influence the design of these systems, particularly when making decisions about aircraft geometry, propulsion sizing, and control system design. This paper presents the trajectory optimization of air vehicles including electric vertical takeoff and landing (eVTOL) as well as conventional aircraft. The study evaluates the influence of fidelity in trajectory design by comparing the use of two aerodynamic methods in the context of trajectory optimization. The mid-fidelity method utilizes a vortex lattice method (VLM) to model lifting surfaces while employing blade element momentum theory (BEMT) to model rudimentary rotor-wing interactions. The high-fidelity approach …