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Articles 2701 - 2730 of 33031
Full-Text Articles in Entire DC Network
Remedios Varo, Diseñadora Y Publicista, Carmina López Sánchez, M. Mar Martínez-Oña
Remedios Varo, Diseñadora Y Publicista, Carmina López Sánchez, M. Mar Martínez-Oña
GDI. Revista de investigación de Género, Diseño e Innovación
El presente artículo analiza las obras de la pintora surrealista Remedios Varo Uranga, siendo el objeto de estudio el análisis de su trabajo como diseñadora y publicista, concretamente de los diseños realizados para la empresa Bayer. Por ello, a través de diferentes metodologías como la revisión bibliográfica, la catalogación junto con los métodos histórico e iconográfico se profundiza en el análisis de algunos de estos trabajos publicitarios. Pretendiendo con ello, visibilizar no solamente la labor artística de Remedios Varo, sino valorar su trabajo como diseñadora donde presenta características iconográficas y estéticas similares a su obra surrealista creando entonces, una publicidad …
Association Between In Situ Ventilation And Human-Generated Aerosol Exposure In Meatpacking Plants During The Covid-19 Pandemic, Joshua L. Santarpia, Josephine Lau, Debayan Shom, Shanna A. Ratnesar-Shumate, Eric C. Carnes, Gearge W. Santarpia, Vicki L. Herrera, Danielle N. Rivera, Daniel N. Ackerman, Ashley R. Ravnholdt, John J. Lowe, Athena K. Ramos
Association Between In Situ Ventilation And Human-Generated Aerosol Exposure In Meatpacking Plants During The Covid-19 Pandemic, Joshua L. Santarpia, Josephine Lau, Debayan Shom, Shanna A. Ratnesar-Shumate, Eric C. Carnes, Gearge W. Santarpia, Vicki L. Herrera, Danielle N. Rivera, Daniel N. Ackerman, Ashley R. Ravnholdt, John J. Lowe, Athena K. Ramos
Durham School of Architectural Engineering and Construction: Faculty Publications
During the COVID-19 pandemic, meatpacking workers were disproportionately affected by disease. Large outbreaks at meatpacking facilities resulted in loss of life and threatened the well-being of workers across the globe. Much work was done throughout the pandemic to understand and prevent these outbreaks. This study combined ventilation system evaluation and measurement of human-generated respiratory aerosol to investigate and identify areas of highest risk for disease transmission. These findings confirm that improved ventilation reduces exposure to human-generated aerosols in meatpacking facilities, including those that may contain infectious agents, such as SARS-CoV-2. This study suggests areas of greatest risk are likely areas …
Integrating Humanities Into Cybersecurity Education: Enhancing Ethical, Historical, And Sociopolitical Understanding In Technical Training, Joseph Frusci
Journal of Cybersecurity Education, Research and Practice
The increasing complexity of cybersecurity challenges necessitates a holistic educational approach that integrates both technical skills and humanistic perspectives. This article examines the importance of infusing humanities disciplines such as history, ethics, political science, sociology, law, and anthropology—into cybersecurity education. Through a pilot course developed for Staten Island Technical High School, aligned with the New York State K-12 Computer Science and Digital Fluency Standards, students were introduced to an interdisciplinary curriculum that combined technical cybersecurity training with historical analysis, ethical reasoning, and sociopolitical context. The results of pre- and post-course assessments demonstrated significant improvements in critical thinking, ethical decision-making, and …
Nonequilibrium Plasma Synthesis And Processing Of Iii-Nitride Materials, Dillon Patrick Moher
Nonequilibrium Plasma Synthesis And Processing Of Iii-Nitride Materials, Dillon Patrick Moher
McKelvey School of Engineering Graduate Student Theses & Dissertations
Nitrogen is abundant on Earth as its diatomic form, and human activity has generated a significant demand for nitrogen-containing compounds. However, its triple bond energy of 941 kJ/mol makes it a poor reactive species in the ground state. Nitrogen-containing nonequilibrium plasmas are made up of background gas, electrons, ions, and a multitude of excited states of nitrogen or even atomic nitrogen. Many of these species have rather high reactivity. As such, the plasma medium is of great potential for driving chemical reactions that involve nitrogen as a reactant, i.e., nitrogen fixation into compounds like ammonia, high-energy-density polynitrogen compounds, and metal-nitride …
Nonequilibrium Plasma Synthesis And Processing Of Iii-Nitride Materials, Dillon Patrick Moher
Nonequilibrium Plasma Synthesis And Processing Of Iii-Nitride Materials, Dillon Patrick Moher
McKelvey School of Engineering Graduate Student Theses & Dissertations
Nitrogen is abundant on Earth as its diatomic form, and human activity has generated a significant demand for nitrogen-containing compounds. However, its triple bond energy of 941 kJ/mol makes it a poor reactive species in the ground state. Nitrogen-containing nonequilibrium plasmas are made up of background gas, electrons, ions, and a multitude of excited states of nitrogen or even atomic nitrogen. Many of these species have rather high reactivity. As such, the plasma medium is of great potential for driving chemical reactions that involve nitrogen as a reactant, i.e., nitrogen fixation into compounds like ammonia, high-energy-density polynitrogen compounds, and metal-nitride …
Forensicllm: A Local Large Language Model For Digital Forensics, Binaya Sharma
Forensicllm: A Local Large Language Model For Digital Forensics, Binaya Sharma
LSU Master's Theses
Large Language Models (LLMs) excel in diverse natural language tasks but often lack specialization in fields like digital forensics. Their reliance on cloud-based APIs or high-performance computers restricts their use in resource-limited environments, and response hallucinations could compromise their applicability in forensic contexts. We introduce ForensicLLM, a 4-bit quantized LLaMA-3.1-8B model fine-tuned using Retrieval Augmented Fine-tuning (RAFT) on 6,739 Q&A samples extracted from 1,082 digital forensic research articles and curated digital artifacts. Evaluation on 2,244 Q&A samples showed that ForensicLLM outperformed the base LLaMA-3.1-8B model by 4.06%, 5.43%, and 15.79% on BERTScore F1, BGE-M3 cosine similarity, and G-Eval, respectively. Compared …
Effectiveness Of Virtual Reality Training Environments, Lindsay Kristina Gouedy
Effectiveness Of Virtual Reality Training Environments, Lindsay Kristina Gouedy
Doctoral Dissertations
As technology has evolved so has training methodology in many applied fields. Training of aviation professionals is adapting by including technology features that allow for safer and less costly training methods. Pilot training is expensive given the number of flight hours and all that is included in the cost of flying an airplane. The main goal of this project is to assess the efficacy of the use of virtual reality environments as a valid training tool. Based on our literature review, we hypothesized that trainees perform simulated flight tasks more efficiently, with fewer errors, when trained using VR technology. The …
Experimental And Numerical Investigation Of Droplet Dynamics In Microscale Systems: The Influence Of Surfactants And Nanoparticles On Environmental Applications, Negin Bahadori
Master's Theses
Emulsions are suspensions of droplets dispersed into an immiscible liquid phase, with at least a water phase and an oil phase. The capability to incorporate both hydrophilic and hydrophobic components makes emulsions amenable to a variety of applications, such as bilgewater treatment and oil recovery. To optimize bilgewater treatment or oil recovery, many aspects must be considered, such as the effect of emulsion stability, the wetting conditions and, more in general, the possibility to characterize droplet’s behavior over static or dynamic conditions. This thesis investigates the roles of surfactants and nanoparticles in understanding droplet behavior in oil-water systems, with a …
The Santa Clara, 2024-11-15, Santa Clara University
The Santa Clara, 2024-11-15, Santa Clara University
The Santa Clara
No abstract provided.
Optimizing Electric Vehicle Fleet Integration In Industrial Demand Response: Maximizing Vehicle-To-Grid Benefits While Compensating Vehicle Owners For Battery Degradation, Andre Leippi, Markus Fleschutz, Kevin Davis, Anna-Lena Klingler, Michael D. Murphy
Optimizing Electric Vehicle Fleet Integration In Industrial Demand Response: Maximizing Vehicle-To-Grid Benefits While Compensating Vehicle Owners For Battery Degradation, Andre Leippi, Markus Fleschutz, Kevin Davis, Anna-Lena Klingler, Michael D. Murphy
Publications
This paper addresses the integration of electric vehicle (EV) fleets into industrial smart grids to increase operational flexibility. It focuses on an extended multi-objective optimization problem that minimizes two primary objectives: (i) the electricity expenditure of a company using its employees’ EV batteries as temporary distributed energy storage, and (ii) the costs associated with the degradation of EV batteries, given the additional usage from the company’s perspective. In this paper, the utilization of an EV fleet is simulated at the individual car level over a one-year period. These optimization problems were balanced by using real-time electricity prices and the effective …
Robust Data-Driven Run-To-Run Control Via One-Step Constrained Optimization For Automated Serial Sectioning, Rhianna M. Oakley
Robust Data-Driven Run-To-Run Control Via One-Step Constrained Optimization For Automated Serial Sectioning, Rhianna M. Oakley
Mechanical Engineering ETDs
This Thesis develops a one-step predictive run-to-run controller (R2R-MPC) for automating a mechanical serial sectioning (MSS) system. MSS is a destructive material analysis process that iteratively removes slices of material and captures 2D images, reconstructing them into 3D representations. Commonly used in material science for characterizing materials and failure analysis, MSS typically operates in an open-loop fashion, which experiences high variability in material removal due to system disturbances. To address this, a robust closed-loop R2R-MPC is presented, modeling MSS process uncertainty using a linear differential inclusion identified from operational historical data. The R2R-MPC is posed as an optimization problem that …
Surely You Can’T Be Serious: A Student’S Guide For Flight School Closure, Aidan Mcglasson, Sarah Nilsson
Surely You Can’T Be Serious: A Student’S Guide For Flight School Closure, Aidan Mcglasson, Sarah Nilsson
Publications
Flying aircraft, whether at a general aviation, commercial, or military level, is deeply engrained in American culture. Opinion polls place being a professional pilot as one of the most respected, and prestigious jobs in the country (Mushtaque, 2023). As evidenced by the popularity of movies such as Airplane!, Top Gun, or Sully, flying is something that fascinates many people. Perhaps contributing to its mystique is the difficulty and expense in obtaining the necessary training and certifications to be a pilot. Some people undergo flight training with the goal of flying commercially, as an airline or corporate pilot, while others do …
From A Traditional City To A Smart City: The Measurement Of Cities’ Readiness For Transition, Egypt As A Case Study, Ahmed Hassebo, Mohamed Tealab, Mosaad Hamouda
From A Traditional City To A Smart City: The Measurement Of Cities’ Readiness For Transition, Egypt As A Case Study, Ahmed Hassebo, Mohamed Tealab, Mosaad Hamouda
Publications and Research
The transition from traditional legacy cities to smart cities represents a pivotal juncture in urban development and governance. As cities worldwide grapple with the challenges of rapid urbanization, resource constraints, and the need to enhance the quality of life for their citizens, the concept of a “smart city” has gained significant attention. This paper delves into the multifaceted process of urban transformation, shedding light on the essential criteria and considerations that guide a city’s conversion into a smart city. To provide a comprehensive framework for the conversion process, this paper outlines a computer program utilized to measure the readiness to …
Investigation On The Impact Of Loading Effect Of Fruit Juices On The Performance Of Pulsed Electric Field Generators, Devi S
Theses and Dissertations
Pulsed Electric Field (PEF) treatment is one of the efficient non-thermal food processing techniques which is being preferred as a replacement for thermal pasteurization methods. The effectiveness of PEF treatment was measured in terms of reduction in the microbial load in the food, extension of shelf life of the food and retention of nutritional properties of the food. The successful implementation of the PEF treatment depends upon various aspects such as design of pulse generator, parameters of pulse generator, shape and size of the treatment chamber and most importantly the characteristics of each food items. Design and fabrication of a …
Modeling And Simulation Of The 12-Meter Antenna, Antonio Pires
Modeling And Simulation Of The 12-Meter Antenna, Antonio Pires
Morehead State Theses and Dissertations
A thesis presented to the faculty of the College of Science at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Antonio Pires on November 11, 2024.
Training An Ai To Detect Injection Attacks Using A Hands On Approach, Aedan Tredinnick
Training An Ai To Detect Injection Attacks Using A Hands On Approach, Aedan Tredinnick
Cybersecurity Undergraduate Research Showcase
This paper presents a practical approach to training an AI model to detect injection attacks, focusing on the creation of a manufactured dataset via structured hands-on methods. By establishing a vulnerable web server using XAMPP and DVWA (Damn Vulnerable Web Application), the research aims to simulate various injection attacks and capture relevant network traffic data. The paper discusses the methodology of data collection, AI model development, and performance evaluation.
Impact Of Coverage And Guest Residue On Polyproline Ii Helix Peptide Antifouling, Rebecca S. Ahn, Henry T. Grome, Sogol Asaei, Geeta Verma, Christina S. Dang, Harihara Baskaran, Julie N. Renner
Impact Of Coverage And Guest Residue On Polyproline Ii Helix Peptide Antifouling, Rebecca S. Ahn, Henry T. Grome, Sogol Asaei, Geeta Verma, Christina S. Dang, Harihara Baskaran, Julie N. Renner
Faculty Scholarship
Polyproline II (PPII) peptide sequences are recognized as promising biomaterials because of their attractive antifouling properties. However, the mechanisms behind their antifouling behavior have not been fully characterized. In this work we show that PPII peptide coverage, controlled by adsorption time, significantly reduces the fouling of bovine serum albumin (BSA, a model foulant). In addition, guest residues introduced into the PPII sequence are shown to significantly impact BSA adsorption as well as human mesenchymal stem cell (hMSC) spreading. This research will help guide future PPII peptide designs for incorporation into novel biomaterials.
Large Dams Establishment Impacts On Different Environmental Aspects: A Review, Anas Ahmad
Large Dams Establishment Impacts On Different Environmental Aspects: A Review, Anas Ahmad
AUIQ Technical Engineering Science
The construction of large dams has been an essential component of the development of global infrastructure, offering significant advantages such as ensuring water storage, reducing the risk of flooding, and producing about 20% of the world's electricity through hydropower. On the other hand, these structures have significant and varied environmental effects. The environmental effects of large dams are critically examined in this analysis, with an emphasis on four main areas: fish biodiversity, riparian vegetation, sediment deposition, and water quality. The study estimates the degree of these consequences by examining global case studies and evaluating data from over 145 significant rivers …
If Androids Dream, Are They More Than Sheep?: Westworld, Robots And Legal Rights, Amanda J. Dipaolo
If Androids Dream, Are They More Than Sheep?: Westworld, Robots And Legal Rights, Amanda J. Dipaolo
Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy
The robot protagonists in HBO’s Westworld open the door to several philosophical and ethical questions, perhaps the most complex being: should androids be granted similar legal protections as people? Westworld offers its own exploration of what it means to be a person and places emphasis on one’s ability to feel and understand pain. With scientists and corporations actively working toward a future that includes robots that can display emotion in a way that can convincingly pass as that of a person’s, what happens when androids pass the Turing test, feel empathy, gain consciousness, are sentient, or develop free will? The …
Sensitivity Of Wavelet-Based Optical Flow Velocimetry (Wofv) To Common Experimental Error Sources, Bryan E. Schmidt, Gauresh Raj Jassal
Sensitivity Of Wavelet-Based Optical Flow Velocimetry (Wofv) To Common Experimental Error Sources, Bryan E. Schmidt, Gauresh Raj Jassal
Faculty Scholarship
The influence of several potential error sources and non-ideal experimental effects on the accuracy of a wavelet-based optical flow velocimetry (wOFV) method when applied to tracer particle images is evaluated using data from a series of synthetic flows. Out-of-plane particle displacements, severe image noise, laser sheet thickness reduction, and image intensity non-uniformity are shown to decrease the accuracy of wOFV in a similar manner to correlation-based particle image velocimetry (PIV). For the error sources tested, wOFV displays a similar or slightly increased sensitivity compared to PIV, but the wOFV results are still more accurate than PIV when the magnitude of …
Biodegradable Polymeric Microspheres For Magnetically Guided Drug Delivery To Tumors, Tyler Payson Green
Biodegradable Polymeric Microspheres For Magnetically Guided Drug Delivery To Tumors, Tyler Payson Green
Theses and Dissertations
This thesis investigates the feasibility of utilizing biodegradable polymeric microspheres loaded with the anticancer drug 5-fluorouracil (5FU) and superparamagnetic iron oxide nanoparticles (SPIONs) to magnetically deliver the cancer therapeutic 5FU to a target tumor in the human body. The primary method of material loading consisted of a w/o/w double emulsion mechanism which 1) loads and protects 5FU in the inner water phase consisting of distilled water and polyvinyl alcohol (PVA), 2) dispersed SPIONs in the biodegradable polymeric organic phase consisting of methylene chloride (MeCl2) for eventual magnetic transport, and 3) suspended these w/o emulsion droplets in an outer aqueous phase …
Ignis: A One-Dimensional Laminar Flame Code, Jansen P. Berryhill, Jacob K. Spinti, David O. Lignell
Ignis: A One-Dimensional Laminar Flame Code, Jansen P. Berryhill, Jacob K. Spinti, David O. Lignell
Faculty Publications
Laminar flame codes have an important role in combustion modeling. They can provide a fundamental understanding of flame dynamics and provide a basis for building subgrid scale models in turbulent flow simulations. This paper presents Ignis, an open-source laminar flame code with the capability to offload submodels, like soot formation and radiation, using external packages and libraries. Ignis is written in C++, is documented with Doxygen, and is available on GitHub. It contains three different flame formulations: diffusion flames, premixed flames, and laminar flamelets solved in the mixture fraction coordinate. An option to facilitate creation of a diffusion flame table …
Hypoxic Incubator: Improving Robustness/Reliability And Demonstrating Physiological Efficacy, Damon Dennis Tan
Hypoxic Incubator: Improving Robustness/Reliability And Demonstrating Physiological Efficacy, Damon Dennis Tan
Master's Theses
The Microphysiological Systems Laboratory aims to develop colorectal cancer tumor models under a hypoxic environment to assess model response to pharmaceutical compounds in vitro. To perform relevant studies, researchers have attempted to use different hypoxic inducing strategies such as a nitrogen pod and hypoxic incubator to recreate in vivo physiological responses to hypoxia. However, studies would be interrupted due to incubator functionality failure. To ensure successful and physiologically relevant studies, I improved and verified the robustness and reliability of a hypoxic incubator previously designed and manufactured in the lab. Through the testing and iterating design processes, I engineered and implemented …
Smart Systems For Employing Iot Devices For Monitoring And Control Of Electric Vehicle Residential Charging, Grant M. Fischer, Steven B. Poore, Rosemary E. Alden, Donovin D. Lewis, Dan M. Ionel
Smart Systems For Employing Iot Devices For Monitoring And Control Of Electric Vehicle Residential Charging, Grant M. Fischer, Steven B. Poore, Rosemary E. Alden, Donovin D. Lewis, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
As the number of electric vehicles (EVs) on the road continues to increase, the rise in power demand may pose challenges, especially for the localized grid capacity during peak load events. This paper briefly reviews methods of power monitoring and load shedding such as smart charging and load management systems. An internet-of-things (IoT) power monitoring system is proposed for high-resolution power monitoring and control of J1772 standard level 2 EV charging systems to provide detailed data to enable future studies on EV grid integration. Additionally, a hardware test bench (HTB) including a DC battery emulator, oscilloscope, and commercial EV charger …
Combined Machine Learning And Differential Evolution For Optimal Design Of Electric Aircraft Propulsion Motors, David R. Stewart, Matin Vatani, Rosemary E. Alden, Donovin D. Lewis, Pedram Asef, Dan M. Ionel
Combined Machine Learning And Differential Evolution For Optimal Design Of Electric Aircraft Propulsion Motors, David R. Stewart, Matin Vatani, Rosemary E. Alden, Donovin D. Lewis, Pedram Asef, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Electric aircraft propulsion requires highly efficient and power-dense fault-tolerant electric motors optimized for specific flight profile operation. State-of-the-art design of electric motors involves substantial computational resources and combines electromagnetic finite element analysis (FEA) and optimization techniques. This paper proposes a new approach using a physics-based machine learning (ML) multi-input univariate meta-model trained on FEA and differential evolution (DE) optimization results to predict electromagnetic torque output. Hundreds of individual designs, generated through multiple generations of a DE algorithm, are analyzed by 3D FEA to create a database, which is then employed for the training and satisfactory validation of the ML model. …
Spatiotemporal Wind Energy Assessment For Transmission Network Integration Considering The Location Of Electrical Substations And Loads, Kwabena Kyeremeh, Rosemary E. Alden, Aron Patrick, Dan M. Ionel
Spatiotemporal Wind Energy Assessment For Transmission Network Integration Considering The Location Of Electrical Substations And Loads, Kwabena Kyeremeh, Rosemary E. Alden, Aron Patrick, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Wind energy is an abundant renewable resource that can support decarbonization of energy supply. It is, therefore, essential to conduct a comprehensive assessment of wind energy potential for effective transmission network planning and integration. This work introduces a spatial-temporal assessment methodology for wind energy name plate-rated power capacity that considers the locations of electrical substations and transmission lines. This methodology applies Geographic Information System (GIS) land cover data to define siting exclusions for wind turbine installations. The correlation between generated wind power and estimates of power system load, as well as capacity factor, on a sub-regional basis for specific latest …
Combined 3d Fea And Machine Learning Design Of Inductive Polyphase Coils For Wireless Ev Charging, Lucas A. Gastineau, Donovin D. Lewis, Dan M. Ionel
Combined 3d Fea And Machine Learning Design Of Inductive Polyphase Coils For Wireless Ev Charging, Lucas A. Gastineau, Donovin D. Lewis, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Wireless power transfer (WPT) technologies are currently researched and developed for charging the batteries of electric unmanned air and ground vehicles. This paper presents systems with special polyphase inductive coils, which generate rotating fields and achieve high power density and efficiency. The complex geometry is modeled and studied with 3D electromagnetic finite element analysis (FEA). In order to reduce the substantial computational effort, machine learning techniques are proposed for surrogate modeling. A deep learning algorithm is introduced to capture the physics-based relationships between geometry and electromagnetic properties in inductive coils for wireless charging. Parametric models are systematically generated and analyzed …
Characterization Of Aromatic Stationary Phases For Uses In High Performance Liquid Chromatography, Anastasia Davis
Characterization Of Aromatic Stationary Phases For Uses In High Performance Liquid Chromatography, Anastasia Davis
Honors Theses
High Performance Liquid Chromatography (HPLC) is an analytical chemist technique used to separate a sample into its components to characterize and study a specific molecule or compound. Traditionally, High-Performance Liquid Chromatography in different industries, such as the environmental and pharmaceutical fields, uses stationary phases that are already well characterized, such as the C18 stationary phase for separation. However, aromatic stationary phases have recently been produced, which have phenyl groups bonded to the interior surface of the column. Still, they have not been well characterized because of how modern they are. This project characterized several aromatic stationary phases (Biphenyl, pentafluorophenyl, and …
Investigating The Effect Of Microwave Pretreatment On Bastnasite Grinding For Comminution Energy Reduction And Rare Earth Recovery, Kaveh Asgari, Qingqing Huang, Rick Q. Honaker, Edward Sabolsky
Investigating The Effect Of Microwave Pretreatment On Bastnasite Grinding For Comminution Energy Reduction And Rare Earth Recovery, Kaveh Asgari, Qingqing Huang, Rick Q. Honaker, Edward Sabolsky
Chemical and Materials Engineering Faculty Publications
This study explored the impact of microwave pretreatment on the grinding efficiency of bastnaesite ore using a stirred mill. Bastnaesite ore was prepared using a staged crushing and sieving process, followed by microwave pretreatment in a specially designed microwave furnace system. Representative samples of the crushed ore underwent stirred mill grinding, with power draw measurements recorded and adjusted to reflect only the specific energy input required for grinding. Particle size distribution was analyzed periodically using laser particle size analysis. In addition, a Box–Behnken design was used to statistically assess the effects of various parameters on the results, ensuring a robust …
Techniques For Modeling Ocean Soundscapes: Detailed Description For Wind Contributionsa, Martin Siderius, Michael A. Ainslie, John Gebbie, Alexandra Schäfke, N Ross Chapman, Bruce Martin, Kay L. Gemba
Techniques For Modeling Ocean Soundscapes: Detailed Description For Wind Contributionsa, Martin Siderius, Michael A. Ainslie, John Gebbie, Alexandra Schäfke, N Ross Chapman, Bruce Martin, Kay L. Gemba
Electrical and Computer Engineering Faculty Publications and Presentations
Wind over the ocean creates breaking waves that generate air-filled bubbles, which radiate underwater sound. This wind-generated sound is a significant component of the ocean soundscape, and models are essential for understanding and predicting its impact. Models for predicting sound pressure level (SPL) from wind have been studied for many years. However, the terminology and definitions behind modeling approaches have not been unified, and ambiguity has led to differences in predicted SPL. The 2022 Ambient Sound Modeling Workshop was organized to compare ambient sound modeling approaches from different researchers. The main goal of the workshop was to quantify differences in …