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Articles 11941 - 11970 of 294533

Full-Text Articles in Physical Sciences and Mathematics

Re: Approval Letter For Butte Priority Soils Operable Unit (Bpsou) Superfund Operation And Maintenance (O&M) Request For Maintenance – Kelley Stormwater Channels (Revised On July 23, 2025), Emma Rott Aug 2025

Re: Approval Letter For Butte Priority Soils Operable Unit (Bpsou) Superfund Operation And Maintenance (O&M) Request For Maintenance – Kelley Stormwater Channels (Revised On July 23, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Impact Of Retrieval Augmented Generation And Large Language Model Complexity On Undergraduate Exams Created And Taken By Ai Agents, Erick S. Tyndall, Colleen Gayheart, Alexandre Some, Joseph Genz, Torrey J. Wagner, Brent T. Langhals Aug 2025

Impact Of Retrieval Augmented Generation And Large Language Model Complexity On Undergraduate Exams Created And Taken By Ai Agents, Erick S. Tyndall, Colleen Gayheart, Alexandre Some, Joseph Genz, Torrey J. Wagner, Brent T. Langhals

Faculty Publications

The capabilities of large language models (LLMs) have advanced to the point where entire textbooks can be queried using retrieval-augmented generation (RAG), enabling AI to integrate external, up-to-date information into its responses. This study evaluates the ability of two OpenAI models, GPT-3.5 Turbo and GPT-4 Turbo, to create and answer exam questions based on an undergraduate textbook. 14 exams were created with four true-false, four multiple-choice, and two short-answer questions derived from an open-source Pacific Studies textbook. Model performance was evaluated with and without access to the source material using text-similarity metrics such as ROUGE-1, cosine similarity, and word embeddings. …

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Satellite-Based Identification Of Mesoscale And Submesoscale Eddies And Fronts In The Gulf Of Mexico, Ethan Cruz Aug 2025

Satellite-Based Identification Of Mesoscale And Submesoscale Eddies And Fronts In The Gulf Of Mexico, Ethan Cruz

Theses and Dissertations

Mesoscale and submesoscale processes in the Gulf of Mexico (GoM) are fundamental in shaping the region’s physical and biogeochemical ocean dynamics. Advances in high-resolution satellite observations now allow detailed detection of submesoscale (< 25 km radius) and mesoscale eddies and ocean fronts, which drive heat, nutrient, and carbon fluxes. This dissertation integrates two complementary investigations: (1) a comparison of eddy-tracking algorithms: Contour Tracing (CT) and Temperature Thresholding (TT), applied to Optimum Interpolation Sea Surface Temperature (OISST, 1/4°) and Operational Sea Surface Temperature and Ice Analysis (OSTIA, 1/20°) products; and (2) a comparative evaluation of three ocean front detection algorithms: Canny Edge Detection (Canny), the Cayula–Cornillon Algorithm (CCA), and the Belkin–O’Reilly Algorithm (BOA), across multiple satellite-derived parameters, including sea surface temperature (SST), sea surface salinity (SSS), chlorophyll-a (Chl-a), and altimetry-derived absolute dynamic topography (ADT). The eddy-tracking analysis shows that the higher-resolution OSTIA consistently detected more eddies than OISST, with TT performing best during winter when SST gradients were strongest. The front detection analysis, incorporating datasets from the Surface Water and Ocean Topography (SWOT) and Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) missions, was evaluated under diverse conditions, including flood and drought periods, Loop Current phase changes, and extreme weather events. A machine learning–based Gaussian Mixture Modeling (GMM) approach was also developed, providing a novel framework for dynamic front detection. By benchmarking traditional and machine learning methods, this integrated study identifies optimal algorithm–dataset combinations for resolving submesoscale and mesoscale features in the GoM, with applicability to other regions.

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Oxidation Resistance And Osmotic Energy Harvesting Applications Of Reduced Graphene Oxide Forward Osmosis Membranes, Michael Appiah-Kubi Aug 2025

Oxidation Resistance And Osmotic Energy Harvesting Applications Of Reduced Graphene Oxide Forward Osmosis Membranes, Michael Appiah-Kubi

Theses and Dissertations

Reduced graphene oxide (RGO) forward osmosis (FO) membranes have emerged as promising candidates for efficient wastewater management and osmotic energy harvesting, due to their enhanced chemical stability and superior FO performance for low-energy waste brine treatments, such as volume reduction of oxidative chromium brine for cost-effective disposal. This dissertation first examines the oxidation resistance of RGO forward osmosis membranes against chromate Cr (VI). Our findings reveal that both the water flux and the reverse salt flux of RGO membranes are suppressed, accompanying an enhanced reverse flux selectivity after exposure to an acidic medium of Cr (VI) (pH 2.0-7.0). Meanwhile, the …

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Assessment Of Bat Species (Mammalia: Chiroptera) In Canubas Cave, Kibawe, Bukidnon, Philippines, Jurriel Mari D. Alce, Jasmine Rouida M. Abenes, Leo Gabriel Cervantes, Matthew Eli K. Llacer, Von Zhyrus P. Oche, Ian Jay P. Saldo, Jhovel Roy D. Calo Aug 2025

Assessment Of Bat Species (Mammalia: Chiroptera) In Canubas Cave, Kibawe, Bukidnon, Philippines, Jurriel Mari D. Alce, Jasmine Rouida M. Abenes, Leo Gabriel Cervantes, Matthew Eli K. Llacer, Von Zhyrus P. Oche, Ian Jay P. Saldo, Jhovel Roy D. Calo

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Bats, flying mammals, are essential to ecosystems, playing vital roles in pollination, seed dispersal, and insect control. Despite their ecological importance, no prior bat research exists for Canubas Cave, Kibawe, Bukidnon. This study aimed to assess the bat species at the site, documenting their morphometric data, diversity and richness indices, and conservation statuses. A purposive sampling design was implemented by setting up mist nets inside and outside the cave. A total of 13 individuals were identified, comprising three species from two families: Rousettus amplexicaudatus and Eonycteris spelaea (family Pteropodidae, fruit bats), and Miniopterus schreibersii (family Miniopteridae, bent-winged bats). Based on …

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Milkfish (Chanos Chanos) Bones As A Biosorbent For Mercury (Ii) Contamination In Water, Seth Uriel K. Neri, Ethan Kyle Mangao, Christian Kevin F. Redoblado, Anthony Cesar Y. Ponce, Roby Boy P. Riego, Jupiter O. Yap Aug 2025

Milkfish (Chanos Chanos) Bones As A Biosorbent For Mercury (Ii) Contamination In Water, Seth Uriel K. Neri, Ethan Kyle Mangao, Christian Kevin F. Redoblado, Anthony Cesar Y. Ponce, Roby Boy P. Riego, Jupiter O. Yap

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Heavy metals, such as mercury contamination in water sources are a major environmental and public health issue in many countries. Traditional methods for removing heavy metals from water are effective but often costly and unsustainable and may produce secondary waste. Recent trends favor more sustainable alternatives, such as biosorbents in treating water with heavy metals. Milkfish (Chanos chanos), a common fish in the Philippines, contains hydroxyapatite in the bones that can bind with heavy metals through physical and chemical adsorption mechanisms. This study aims to evaluate the mercury (II) reduction capacity of biosorbent derived from milkfish bones in water, specifically …

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Betti Numbers For Modules Over Artinian Local Rings, Kaiyue He Aug 2025

Betti Numbers For Modules Over Artinian Local Rings, Kaiyue He

Dissertations - ALL

We study the behavior of Betti growth of modules over Artinian rings under some $\Tor$ vanishing conditions. Let $(R,\fm)$ be a local Artinian ring with a fixed ideal $I$, and $M$ a finite module. We extend the framework developed in \cite{huneke2014vanishing} by introducing and analyzing a new invariant, $\gamma_I(M)$ (see Definition \ref{definition}), associated with the ideal $I$ of the ring $R$ and a finitely generated $R$-module $M$. It turns out that this invariant $\gamma_I(M)$ provides an upper bound for the ratio of certain consecutive Betti numbers of the finitely generated modules $N$ such that $\Tor_i(M,N) = 0$ for some $i …

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Geochemical And Thermobarometric Constraints On Granite Crystallization, Glenn Tristan Thompson Aug 2025

Geochemical And Thermobarometric Constraints On Granite Crystallization, Glenn Tristan Thompson

Dissertations - ALL

Granite is ubiquitously recognized by many people due to its common use as a building material and its abundance in the Earth's continental crust. From countertops to library steps, and as a source of economically important elements, granitic rocks are deeply intertwined with human development. Defining the pressure and temperature (P– T) conditions under which granitic composition magmas crystallize is critical for understanding their petrogenesis. This dissertation explores granite petrogenesis across three chapters, utilizing detailed analysis of rock-forming minerals, associated fluids, and geochemical variations to understand how compositional variability influences the lowest possible crystallization conditions. Chapter 1 investigates the physical …

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Holographic Scaling And Cosmological Correlators, He Li Aug 2025

Holographic Scaling And Cosmological Correlators, He Li

Dissertations - ALL

It is well-established that the two-point correlator of a scalar field in AdS follows either of two scaling laws, ∆± =d/2 ± ν, where ν =Sqrt((d/2)^2+ m^2) is a function of the scalar bulk mass. The transition between these two scalings occurs in the renormalization group evolution from the UV to the IR of a dual 4D conformal theory deformed by a relevant double-trace deformation. In this thesis, we identify a new holographic scaling law, ∆UV = ν, in the context of the AdS/CFT correspondence where there exists a UV cutoff brane. Specifically, when ν > 1, the ∆− scaling that …

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Time-Resolved Crystallographic Analysis Of The Mechanism Of Formation Of The Mof Hkust-1, Cody Webb Jr Aug 2025

Time-Resolved Crystallographic Analysis Of The Mechanism Of Formation Of The Mof Hkust-1, Cody Webb Jr

Dissertations - ALL

Metal-organic frameworks (MOFs) are a class of inorganic porous coordination compounds of interest for technically relevant applications including gas storage & sequestration, catalysis, and drug delivery (Chapter 2). The last decade has seen significant development in this field of coordination chemistry, and an extensive array of MOFs have been reported despite the lack of a comprehensive scheme for how these materials form. The development of novel MOFs is not a trivial task, as the synthesis of target MOFs is notably unpredictable, and experiments require extensive trial-and-error reactions with systematic manipulation of the synthetic variables. Ideally, a toolbox method based on …

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Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 1 2025 (Dated June 30, 2025), Emma Rott Aug 2025

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 1 2025 (Dated June 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Mathematics And Mental Health: An Interdisciplinary Analysis Of Ai In Counselor Education, Jennifer M. Hightower, Catrina A. May Aug 2025

Mathematics And Mental Health: An Interdisciplinary Analysis Of Ai In Counselor Education, Jennifer M. Hightower, Catrina A. May

Journal of Counselor Preparation and Supervision

Although use of Artificial Intelligence (AI) in mental health care has become increasingly common, many professional counselors remain under informed about foundational components of AI. Fundamental issues associated with AI, including model bias and the Black Box Problem, must be considered as these tools become integrated into the counseling profession. This manuscript provides an interdisciplinary, theoretical analysis of AI use in counseling and counselor education grounded in foundational knowledge of AI and the American Counseling Association’s recommendations for the ethical integration of AI (Butler et al., 2023). The paper summarizes these recommendations, establishes accessible definitions of AI terms, explains the …

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Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard Aug 2025

Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard

Chemical Engineering and Materials Science Faculty Research Publications

Cyberattacks may be performed on process control systems due to their integration of networking and computing with physical systems. Prior work in our group has developed detection strategies for nonlinear systems under sensor, actuator, and combined sensor and actuator attacks which can ensure, under characterizable conditions, that attacks can be detected before they cause safety issues. However, this work did not take into account the potential that an attacker could attempt to provide data to a process that causes an attack to remain undetected but that also is consistent with different process dynamics than those which the process has. This …

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Response Of Dynamic Processes With Control Implemented On A Noisy Quantum Computer, Shilpa Narashimhan, Dominic Messina, Henrique Oyama, Helen Durand Aug 2025

Response Of Dynamic Processes With Control Implemented On A Noisy Quantum Computer, Shilpa Narashimhan, Dominic Messina, Henrique Oyama, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

A major challenge to determining the applicability (and potential outperformance over classical computers) of a quantum computer (QC) within chemical manufacturing processes is quantum noise. Computations by a QC are error-prone due to the influence of quantum noise inherent to the hardware. Errors in control inputs may destabilize a chemical process and lead to unsafe conditions for manufacturing personnel and the environment. The response of a process with control implemented on a QC to errors due to noise must be investigated thoroughly. In this work, the impacts of control input errors due to quantum noise on a process are modeled …

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Heuristic Strategies For Process Stabilization Using Proportional Control Implemented By A Noisy Quantum Simulator, Keshav Kasturi Rangan, Helen Durand Aug 2025

Heuristic Strategies For Process Stabilization Using Proportional Control Implemented By A Noisy Quantum Simulator, Keshav Kasturi Rangan, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Processing and storage demands of industrial processes are causing fields such as optimization, scheduling, and control to assess the effectiveness of quantum devices in their applications. A key objective of control systems is to ensure process safety. This paper focuses on the potential of quantum devices to compute control inputs that maintain system safety despite sources of nondeterminism inherent to currently available quantum devices (quantum noise). In our previous work, we employed a quantum simulator to assess whether a quantum implementation of a proportional (P) control law could stabilize a single-input/single-output system under quantum noise approximated from a real quantum …

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Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand Aug 2025

Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Quantum computers (QCs) may find future applications within control systems that operate manufacturing processes. For application within control engineering, quantum algorithm development must be led by control engineers. However, control engineers may face challenges in designing quantum algorithms for control engineering problems. In this work, we provide several path-finding studies that leverage engineering tools such as optimization, encryption, and computational "short-cuts" toward making algorithm design for QC easier for control engineers.

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Reducing Residential Landscape Water Use In Utah: Technologies And Strategies, Maya Cottam, Kendall Becker, Katlyn Stemmler, Shital Poudyal, Wesley Crump, Lewis Kogan, Scott Hotaling Aug 2025

Reducing Residential Landscape Water Use In Utah: Technologies And Strategies, Maya Cottam, Kendall Becker, Katlyn Stemmler, Shital Poudyal, Wesley Crump, Lewis Kogan, Scott Hotaling

All Current Publications

Water conservation is a critical issue in Utah, and several actions are already underway to help lower residential landscape water use. Strategies include smart irrigation controllers, efficient sprinkler bodies and nozzles, drip irrigation systems, soil amendments that increase water-holding capacity, and drought-tolerant grass cultivars for lawns. While additional conservation efforts will be necessary to reach sustainable water management, statewide adoption of current programs can help reduce water use and loss.

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2025 August 21 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Aug 2025

2025 August 21 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 177 – North Alice Culvert, Mike Mcanulty Aug 2025

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 177 – North Alice Culvert, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Comparative Modeling Of Nuclear Energy Consumption In The United States And France: An Optimized Structure-Adaptive Grey Model, Alae Chahid '25, Naima Shifa Aug 2025

Comparative Modeling Of Nuclear Energy Consumption In The United States And France: An Optimized Structure-Adaptive Grey Model, Alae Chahid '25, Naima Shifa

Student Research

This study investigates nuclear energy consumption trends in the United States, and France by applying advanced time-series modeling and computational optimization techniques. Using annual consumption data from 2005 to 2023, the research compares the predictive accuracy under data scarcity of the AutoRegressive Integrated Moving Average (ARIMA), Grey Model (1,1,t), Grey Model(1,1,t²), and an Optimized Structure-Adaptive Grey Model (OSGM). This OSGM (1,1,_) the traditional Grey Model (1,1) by introducing time-dependent terms and parameter tuning through particle swarm optimization and Monte Carlo simulations. Models are trained and tested using an in-sample and out-of-sample period framework. Then, forecast accuracies are compared using Mean …

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Large-Scale Flood Detection And Mapping In The Yangtze River Basin (2016–2021) Using Convolutional Neural Networks With Sentinel-1 Sar Images, Xuan Wu, Zhijie Zhang, Wanchang Zhang, Bangsheng An, Zhenghao Li, Rui Li, Qunli Chen Aug 2025

Large-Scale Flood Detection And Mapping In The Yangtze River Basin (2016–2021) Using Convolutional Neural Networks With Sentinel-1 Sar Images, Xuan Wu, Zhijie Zhang, Wanchang Zhang, Bangsheng An, Zhenghao Li, Rui Li, Qunli Chen

Environment and Society Faculty Publications

Synthetic Aperture Radar (SAR) technology offers unparalleled advantages by delivering high-quality images under all-weather conditions, enabling effective flood monitoring. This capability provides massive remote sensing data for flood mapping, while recent rapid advances in deep learning (DL) offer methodologies for large-scale flood mapping. However, the full potential of deep learning in large-scale flood monitoring utilizing remote sensing data remains largely untapped, necessitating further exploration of both data and methodologies. This paper presents an innovative approach that harnesses convolutional neural networks (CNNs) with Sentinel-1 SAR images for large-scale inundation detection and dynamic flood monitoring in the Yangtze River Basin (YRB). An …

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Dissolution Mechanism Of Nonionic Polyether Surfactants In Supercritical Co2, Ning Xu, Yanling Wang, Baojun Bai, Shizhang Cui, Zan Gao, Yu Zhang, Di Li, Wenjing Shi, Wenhui Ding, Peixu Ma Aug 2025

Dissolution Mechanism Of Nonionic Polyether Surfactants In Supercritical Co2, Ning Xu, Yanling Wang, Baojun Bai, Shizhang Cui, Zan Gao, Yu Zhang, Di Li, Wenjing Shi, Wenhui Ding, Peixu Ma

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Polyoxyethylene ether is an efficient CO2-philic compound with significant potential applications in CO2 flooding, which requires CO2-philic surfactants with high solubility in supercritical CO2 (scCO2). This study elucidates the molecular and atomic-level dissolution mechanism of the fatty alcohol polyoxyethylene ether (AEO) in scCO2 by combining phase-behavior experiments and molecular dynamics simulations. The solubility of AEO in scCO2 is measured using a semiconductor laser. AEO containing three polyoxyethylene (EO) groups exhibited the highest solubility in scCO2.The solubility of AEO in scCO2 decreased with an increase in the number …

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Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling Plan (Fsp): Bres No. 26 – Cripple Dump, Mike Mcanulty Aug 2025

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling Plan (Fsp): Bres No. 26 – Cripple Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 91 – Robert Emmett Dumps, Mike Mcanulty Aug 2025

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 91 – Robert Emmett Dumps, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No. 94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp)., Mike Mcanulty Aug 2025

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No. 94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp)., Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Does Bubble Nucleation Occur Heterogeneously In Magmas Feeding Explosive Rhyolite Eruptions? Insights From The Rock Magnetic Properties Of Pumice, Kelly N. Mccartney, Julia E. Hammer, Thomas Shea, Stefanie Brachfeld, Thomas Giacheetti, Bruce F. Houghton Aug 2025

Does Bubble Nucleation Occur Heterogeneously In Magmas Feeding Explosive Rhyolite Eruptions? Insights From The Rock Magnetic Properties Of Pumice, Kelly N. Mccartney, Julia E. Hammer, Thomas Shea, Stefanie Brachfeld, Thomas Giacheetti, Bruce F. Houghton

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Nanometer-scale titanomagnetite crystals have been detected in nominally aphyric rhyolite pumice, but whether they are numerous enough to impact bubble nucleation in explosive silicic volcanism was unresolved. This study examines sub-micron crystals using rock magnetic techniques, Rhyolite-MELTS modeling, and physical characterization. We analyzed pumice from four eruptions spanning wide ranges in intensity, storage depth, and bubble number density (1016 to 1013 m−3 liquid): 1060 CE Glass Mountain, 1912 CE Novarupta, 232 CE Taupo, and 0.45 Ma Pudahuel. Calculations assuming monospecific assemblages of 10 and 1,000 nm cubic particles yield titanomagnetite number densities of 1021 to 1013 m−3 dense rock equivalent, …

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Full-Stack Quantum Computing, Benjamin C A Morrison Aug 2025

Full-Stack Quantum Computing, Benjamin C A Morrison

Physics & Astronomy ETDs

Quantum computing is a promising tool for solving computational problems in several areas, including the simulation of physical and chemical systems. The design of practical quantum computing systems for these applications is a daunting task, requiring collaborative work by interdisciplinary teams considering different abstractions of the same systems. This dissertation presents work on the development of those abstractions, and on components that bridge multiple layers of abstraction. I first provide an introduction to quantum circuit model computation, error correction with stabilizer codes, and physics simulation algorithms. In joint work with the QSCOUT software team, I then describe the development of …

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Scene Generation Method For Maritime Target Recognition Based On Detection Parameters, Yuxuan Run, Dezhen Yang, Yeyang Liu, Wei Deng, Xiangyu Xing, Yi Ren Aug 2025

Scene Generation Method For Maritime Target Recognition Based On Detection Parameters, Yuxuan Run, Dezhen Yang, Yeyang Liu, Wei Deng, Xiangyu Xing, Yi Ren

Journal of System Simulation

Abstract: Traditional scene generation methods for maritime target recognition consider only the effects of different environments on the generated scene data, while overlooking the changes in scene information caused by sensor detection parameters, resulting in a lack of accuracy and authenticity in generated scenes. To address this issue, a detection parameter-based scene generation method for maritime target recognition was proposed. For the task of maritime target recognition, key detection parameters affecting scene generation quality and essential scene features were analyzed. An association relationship modeling method based on Bayesian networks was proposed to construct a mapping relationship model between scene features …

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Ship Fire Prediction Method Based On Evidence Theory With Fuzzy Reward, Chunyu Yang, Chuang Zhang, Xiaofan Zhang Aug 2025

Ship Fire Prediction Method Based On Evidence Theory With Fuzzy Reward, Chunyu Yang, Chuang Zhang, Xiaofan Zhang

Journal of System Simulation

Abstract: A multi-source information fusion approach based on the dempster-shafer (D-S) evidence theory with a fuzzy reward-penalty mechanism was proposed to address the issues of underreporting and false reporting in the early prediction of ship fires. PyroSim was utilized to construct a ship's laboratory model for fire simulation. Variations in carbon monoxide, temperature, and smoke concentration were recorded for data acquisition, followed by the application of a sigmf function for membership assignment. By leveraging the classical D-S theory, a reward-penalty mechanism was applied in weighted evidence fusion. Reward-penalty factors were utilized to differentiate various basic probability assignments, with unified belief …

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Project-Based Learning With Odes: Modeling Straw Rocket Motion With Air Resistance, Viktoria Savatorova, Ethan Dyer, Aleksei Talonov Aug 2025

Project-Based Learning With Odes: Modeling Straw Rocket Motion With Air Resistance, Viktoria Savatorova, Ethan Dyer, Aleksei Talonov

CODEE Journal

This paper presents a hands-on project that guides students through building and validating a mathematical model of projectile motion. The project starts with the idealized case of motion under gravity without air resistance and then introduces air drag : first as a linear force, and then as a nonlinear quadratic force, with the Reynolds number providing the justification for the quadratic model. Students perform experiments with vertical and angled launches, capturing and analyzing motion data using video analysis software. Vertical launch data allows parameter estimation via least squares fitting of the nonlinear drag model, yielding values for initial velocity and …

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