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Articles 23701 - 23730 of 714541
Full-Text Articles in Entire DC Network
In Defense Of Metaphysics: A Defense Of The Value And Methodological Soundness Of Metaphysics Understood As Structural Modeling, Sean Nalty
Dissertations - ALL
The aim of this dissertation is to provide a defense of the value and methodological soundness of contemporary analytic metaphysics against a variety of recent anti-metaphysical and scientistic critiques. In Chapter 1, I attempt to answer (at least provisionally) a surprisingly difficult question: what is metaphysics, anyway? I suggest seven adequacy constraints on an answer to this question, and then test five historically and contemporarily influential candidate characterizations of metaphysics against these constraints. Finding each candidate lacking, I close by proposing an ecumenical conception of metaphysics — what I call the structural modeling conception — according to which metaphysics aims …
Oxidation Resistance And Osmotic Energy Harvesting Applications Of Reduced Graphene Oxide Forward Osmosis Membranes, Michael Appiah-Kubi
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 …
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
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 …
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
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 …
Building Family Partnerships Toward Equitable Community Engagement And Integration In Stem Education, Juan Salinas, Sheila Cardenas-Vazquez, Sherlyn De Alva, Elizabeth Salinas, Griselda Salinas, Virginia Santanas
Building Family Partnerships Toward Equitable Community Engagement And Integration In Stem Education, Juan Salinas, Sheila Cardenas-Vazquez, Sherlyn De Alva, Elizabeth Salinas, Griselda Salinas, Virginia Santanas
Organization and School Leadership Faculty Publications
In their quest to further their understanding of the power of plática (authentic dialogue) in community engagement efforts, the researchers/practitioners embedded themselves in deep, critical conversations with family leaders from a community-based organization on issues of equity and excellence in education. A family-centered theory of change developed by trusting relationships and partnerships with students, their families, and educators, was incorporated in the professional development of STEM faculty, revision of STEM curricula, and the transformation of teaching practices. This study advances the body of knowledge on the operationalization of servingness and provides insight on the utilization of sense of belonging metrics …
Satellite-Based Identification Of Mesoscale And Submesoscale Eddies And Fronts In The Gulf Of Mexico, Ethan Cruz
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.
Infographic: Pisa 2022 Insights – Effort And Persistence In Maths, Dominique Russell
Infographic: Pisa 2022 Insights – Effort And Persistence In Maths, Dominique Russell
Teacher infographics
Each cycle of the global Programme for International Student Assessment (PISA) includes a student questionnaire. One questionnaire topic – effort and persistence in mathematics – is essential for students’ success and skill development. The data provide useful prompts for teachers when considering their own students.
A Systematic Review Of Participant Adherence To Writing Self-Monitoring Interventions, Alec Ryan Goldstein
A Systematic Review Of Participant Adherence To Writing Self-Monitoring Interventions, Alec Ryan Goldstein
Dissertations - ALL
Writing is a highly versatile tool that can be used to achieve various goals and serves as an effective means for learning (Bangert-Drowns et al., 2004; Graham, 2007). One widely adopted intervention to enhance student writing is self-graphing, which enables students to compare their current performance with previous efforts, thereby potentially increasing their motivation to improve subsequent performances (Harris et al., 1994; Hirsch et al., 2013; Sheehey et al., 2016; Wells et al., 2017). Self-graphing interventions require students to engage in self-directed self-assessments, which presents opportunities for noncompliance or errors. This necessitates the examination of participant adherence, or the likelihood …
Betti Numbers For Modules Over Artinian Local Rings, Kaiyue He
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 …
Geochemical And Thermobarometric Constraints On Granite Crystallization, Glenn Tristan Thompson
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 …
Quantify The Impact Of Occupant Behavior On Building Retrofits To Achieve Net-Zero Target Under Future Climates, Pratik Raj Pandey
Quantify The Impact Of Occupant Behavior On Building Retrofits To Achieve Net-Zero Target Under Future Climates, Pratik Raj Pandey
Dissertations - ALL
It is estimated that about 40% of all the electricity generated in the United States is consumed by the building sector. This scale of energy use by buildings can be understood by the fact that the U.S. alone consumes approximately 20% of all the energy produced globally, despite having only about 4.23% of the world's population. Given the threats posed by climate change, it is necessary to curtail the energy demand of this sector. Additionally, global climate change has increased the frequency, intensity, and duration of extreme climate events like heat waves, cold waves, hurricanes, floods, and droughts. Given the …
Development, Validation, And Applicability Of A Race-Specific Insulin Sensitivity Estimator (Rise) In Youth And Young Adults, Wonhee Cho
Dissertations - ALL
Parallel to the escalating rate of overweight and obesity in the youth and young adult population, the incidence and prevalence of type 2 diabetes are also mounting, presenting significant public health problems. Among the various pathophysiological factors, insulin sensitivity has emerged as a critical risk factor for impaired glucose tolerance (IGT) and type 2 diabetes in youth. Despite the pivotal role of insulin sensitivity in the development and progression of these conditions, current methodologies for its assessment, such as the hyperinsulinemic-euglycemic clamp and intravenous glucose tolerance test, are limited by their invasive methods, high cost, and unsuitability for use in …
An Examination Of The Opt Out Movement In New York State, Selene M. Cammer-Bechtold
An Examination Of The Opt Out Movement In New York State, Selene M. Cammer-Bechtold
Dissertations - ALL
Public state education systems are required by federal law to assess student learning in order to receive certain federal funding for the state’s education system. Typically, the metric are standardized testing regimes. New York State is no exception and requires students in grades 3-8 to take annual English Language Arts and Mathematics exams to meet that requirement. However, New York State is a unique case, as it has the highest Opt Out rate, or noncompliance on taking the exams, in the country. While the majority of the literature on the Opt Out Movement has focused on who is more likely …
Holographic Scaling And Cosmological Correlators, He Li
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 …
Time-Resolved Crystallographic Analysis Of The Mechanism Of Formation Of The Mof Hkust-1, Cody Webb Jr
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 …
Technological Revolutions And Advertising: Historical Innovation Cycles, Ai, And The Future Of Platform Power, Christopher J. Lorusso
Technological Revolutions And Advertising: Historical Innovation Cycles, Ai, And The Future Of Platform Power, Christopher J. Lorusso
Dissertations - ALL
This study explores the future of advertising amidst a digital landscape increasingly shaped by artificial intelligence (AI). Leveraging Carlota Perez’s Technological Revolutions and Financial Capital framework, it examines how AI is poised to further disrupt the advertising ecosystem through the key elements of automation, user data, and inventory. Collectively, these dynamics have become key drivers of platform power, with implications for user behavior, competitive strategy, and the societal diffusion of AI technology more broadly. Employing a thematic analysis across historical and contemporary cases of advertising technology, the research identifies five themes worthy of strategic and scholarly consideration. Two primary themes—Dependency …
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
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. …
Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Notice Of Intent To Abandon Bps07-05a And Bps07-05b (Dated July 14, 2025), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below
Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below
Faculty Research, Scholarly, and Creative Activity
To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins. Our previous work using Multiscale Machine-learned Modeling Infrastructure investigated different lipid compositions solely around the KRAS4b protein and the interplay between protein behavior and these membrane environments. Multiscale Machine-learned Modeling Infrastructure …
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.
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.
Enhancing Research Training Curricula Through The Ethical Integration Of Ai-Powered Tools: Opportunities And Challenges For Counselor Educators, Joshua C. Watson, Chris Leeth, Kevin Wong, Justen Schroeder
Enhancing Research Training Curricula Through The Ethical Integration Of Ai-Powered Tools: Opportunities And Challenges For Counselor Educators, Joshua C. Watson, Chris Leeth, Kevin Wong, Justen Schroeder
Journal of Counselor Preparation and Supervision
This article reviews existing training models used to teach research courses and facilitate researcher identity development in counselor education curricula and suggests how generative artificial intelligence (GenAI) can be incorporated into these courses as an instructional aid that improves researcher efficiency. Various GenAI tools used across stages of the research process are introduced with a discussion of their ethical implications and how they can be integrated into exiting lesson plans.
Mathematics And Mental Health: An Interdisciplinary Analysis Of Ai In Counselor Education, Jennifer M. Hightower, Catrina A. May
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 …
Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette
Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette
Journal of Counselor Preparation and Supervision
As artificial intelligence (AI) transforms mental health and education, counselor educators must prepare future practitioners to engage with these technologies ethically and effectively. This article presents a systematic framework for incorporating AI into counselor education through three key approaches: AI-generated content, AI analysis, and AI interactions. The framework addresses critical considerations including ethical implementation, prompt engineering, and cultural competence while maintaining alignment with professional standards. Drawing from current literature and ethical guidelines, we provide structured guidance for implementing AI across various content delivery styles, with emphasis on preserving clinical judgment and therapeutic relationships. Comprehensive appendices include implementation guides, assessment rubrics, …
Understanding Artificial Intelligence And Machine Learning: Foundational Concepts For Counselor Education, Eunae Han, Jihoon Shin
Understanding Artificial Intelligence And Machine Learning: Foundational Concepts For Counselor Education, Eunae Han, Jihoon Shin
Journal of Counselor Preparation and Supervision
The purpose of this manuscript was to introduce key concepts in artificial intelligence (AI) and machine learning (ML) to counselor educators and counseling researchers. As AI continues to play an increasingly significant role in various fields, counseling professionals need to develop a foundational understanding of AI, including ML. The first section of this manuscript outlined basic concepts in AI and ML, with study examples that utilize specific algorithms in mental health and counseling-related fields. Next, the second section explained the general process of building an ML model, illustrating it with a real-world dataset example for counseling professionals. The manuscript also …
Letter From The Editors: Special Issue: Artificial Intelligence In Professional Counseling And Counselor Preparation, Rachel Jacoby, Sandra Logan-Mckibben
Letter From The Editors: Special Issue: Artificial Intelligence In Professional Counseling And Counselor Preparation, Rachel Jacoby, Sandra Logan-Mckibben
Journal of Counselor Preparation and Supervision
No abstract provided.
Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke
Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke
Journal of Aviation Technology and Engineering
Technological innovation has had an enormous effect on safety in aviation. However, in Part 135 operations, where technology is not as ubiquitous, the accident rates have plateaued. Human error is constantly misrepresented as being responsible for 70–80 percent of accidents, when it is clearly only one of several contributing factors. In commercial aviation, all accidents should be considered organizational failures, because by definition all defensive layers have been breached. Organizational failure, as it affects safety, should be identifiable and predictable from organizational behavior. Inevitably, in the aftermath of accidents the warning signs of poor behavior are seemingly obvious, yet there …
Predictive Capacity Planning: Estimating Hardware Requirements For Customer Deployments, Mahesh Chidrawar, Sanjeev Panem Jaya, Umesh Prabhakar Gaikwad
Predictive Capacity Planning: Estimating Hardware Requirements For Customer Deployments, Mahesh Chidrawar, Sanjeev Panem Jaya, Umesh Prabhakar Gaikwad
Defensive Publications Series
Achieving suitable dimensioning for accurately determining the hardware specifications necessary for new mobile gateway deployments is a complex challenge, involving numerous variables whose interrelationships must be understood in the context of specific use cases. This research aims to develop a model for estimating the necessary capacity for product dimensioning and deployments on existing hardware infrastructure. By leveraging data from current customer labs, the study seeks to facilitate effective capacity planning for clients. The model will be constructed through a comprehensive analysis of various customer datasets, enabling the prediction of the hardware requisites tailored to specific deployment needs. The objective is …
Assessing Cascaded Op-Amp And Pre-Current Amplifier Configurations In Transimpedance Amplifier Interfacing Circuits For Nano-Scale Current-Based Sensor Applications, Mohamed Mamdouh, Sameh O. Abdellatif
Assessing Cascaded Op-Amp And Pre-Current Amplifier Configurations In Transimpedance Amplifier Interfacing Circuits For Nano-Scale Current-Based Sensor Applications, Mohamed Mamdouh, Sameh O. Abdellatif
Electrical Engineering
This study provides a comprehensive analysis of two proposed configurations for current-to-voltage converters tailored for nano-scale current-based sensor applications, focusing on key performance metrics such as linearity, dynamic range, DC noise immunity, and power losses. The evaluation employed frequency-dependent analyses, including transient response, step response, input impedance, and frequency-dependent noise spectra, to compare a cascaded double output configuration with a pre-current amplifier design. The results indicate a trade-off between dynamic range and linearity, with the pre-current amplifier demonstrating a higher dynamic range but lower linearity compared to the cascaded configuration. Additionally, the current amplifier configuration exhibited advantages in power consumption …
Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard
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 …