Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (3960)
- Computer Sciences (2694)
- Engineering (2479)
- Computer Engineering (1790)
- Social and Behavioral Sciences (1697)
-
- Communication (1518)
- Education (948)
- Life Sciences (894)
- Mass Communication (827)
- Bioinformatics (632)
- Communication Technology and New Media (631)
- Databases and Information Systems (631)
- OS and Networks (631)
- Science and Technology Studies (631)
- Physics (488)
- Educational Leadership (412)
- Educational Assessment, Evaluation, and Research (315)
- Environmental Sciences (260)
- Medicine and Health Sciences (255)
- Statistics and Probability (206)
- Chemistry (198)
- Higher Education (191)
- Arts and Humanities (175)
- Electrical and Computer Engineering (167)
- Earth Sciences (160)
- Mathematics (160)
- Applied Mathematics (144)
- Applied Statistics (138)
- Mechanical Engineering (87)
- Psychiatry and Psychology (83)
- Keyword
-
- Wright State University (980)
- Student life (504)
- Student newspaper (497)
- Newsletters (405)
- Report (314)
-
- University publications (309)
- Computer Science (307)
- Department of Computer Science and Engineering (305)
- Engineering (280)
- Minutes (214)
- Research (213)
- Wright State University. Board of Trustees (209)
- Meetings (208)
- Annual Program Outcomes Assessments (196)
- Department of Earth and Environmental Sciences (185)
- Educational programs (185)
- Funding (185)
- Grants (185)
- WSU Research News (185)
- Department of Chemistry (174)
- Wright State University--College of Science and Mathematics (168)
- College of Engineering and Computer Science (160)
- Science news (157)
- Technical writing (157)
- Universities and colleges--Faculty (136)
- Department of Electrical Engineering (121)
- Department of Mechanical and Materials Engineering (120)
- Statistics (118)
- News (108)
- Physical Sciences and Mathematics (107)
- Publication Year
- Publication
-
- Browse all Theses and Dissertations (1472)
- Computer Science & Engineering Syllabi (1313)
- Kno.e.sis Publications (542)
- The Guardian Student Newspaper (500)
- Physics Faculty Publications (363)
-
- Computer Science and Engineering Faculty Publications (313)
- Board of Trustees Minutes (208)
- Annual Program Outcomes Assessments - All (196)
- WSU Research News (185)
- BITs and PCs Newsletter (157)
- Mathematics and Statistics Faculty Publications (142)
- Faculty Senate Minutes and Agendas (108)
- Undergraduate Curriculum and Academic Policy Committee Minutes (95)
- Academic Program Review Reports - All (76)
- Admissions Reports (62)
- Journal of Bioresource Management (50)
- Athletics Publications (49)
- Browse All Course Catalogs (49)
- AlumNews (46)
- Wright State University Student Fact Books (43)
- Core General Education Assessments - All (42)
- Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials (40)
- Electronic Journal for Inclusive Education (40)
- The Extension Newsletter (32)
- Psychology Faculty Publications (31)
- The Wright Stater (29)
- College of Science and Mathematics Newsletters (27)
- Course Descriptions (24)
- Masters Culminating Experiences (1993-2011) (24)
- Biological Sciences Faculty Publications (22)
- Publication Type
- File Type
Articles 61 - 90 of 7018
Full-Text Articles in Entire DC Network
Searching For Cages In Graphs And Signed Graphs, Isaac Partee
Searching For Cages In Graphs And Signed Graphs, Isaac Partee
Browse all Theses and Dissertations
The girth of a graph G is the minimum length of a cycle in G. A (k,g)-graph is a k-regular graph of girth g. A (k,g)-cage is a (k,g)-graph with the smallest possible number of vertices. For example, K4 is the unique (3,3)-cage, K3,3 is the unique (3,4)-cage, and the Petersen Graph is the unique (3,5)-cage. The search for cages particular values of (k,g) is an ongoing area of considerable research. For values of (k,g) where the number vertices in a (k,g)-cage is not known, covering graphs have recently been used for constructing progressively smaller and smaller (k,g)-graphs. The covering …
Optimizing Cloud Computing Resources For Operational Cost And Application Performance Using Machine Learning, Isaac K. Matthew
Optimizing Cloud Computing Resources For Operational Cost And Application Performance Using Machine Learning, Isaac K. Matthew
Browse all Theses and Dissertations
As AI-driven workloads accelerate the growth of cloud initiatives and spending, resource waste also increases due to persistent inefficiencies in cloud compute and infrastructure management. Overprovisioned resources and suboptimal configurations often lead to operational inefficiencies and unnecessary financial overhead. These challenges arise from the difficulty of anticipating resource demands in dynamic workloads and selecting suitable virtual machines to ensure optimal performance. Our research proposes a holistic, data-driven framework for managing cloud compute resources that reduces costs without compromising application performance. We integrate a predictive, model-driven, threshold-based autoscaling solution for cloud-native applications with an optimized instance right-sizing approach to select cost-effective …
Reducing Operator Training Time Through Virtual Reality: A Case Study On The Lpkf Protomat E44 Machine, Joshua C. Patel
Reducing Operator Training Time Through Virtual Reality: A Case Study On The Lpkf Protomat E44 Machine, Joshua C. Patel
Browse all Theses and Dissertations
This thesis presents the development of an immersive virtual reality (VR) simulation that replicates the operation of the LPKF ProtoMat E44 PCB milling machine. Aimed at reducing operator training time and improving procedural understanding, the simulation offers an interactive and realistic environment where users can safely engage with machine workflows and start-up sequences. The emphasis is on accurate representation, usability, and maintaining immersion to support intuitive learning. Although formal evaluation is outside the scope of this work, the system is designed to serve as a foundation for cost-effective, scalable training in technical and manufacturing contexts, offering a modern alternative to …
Exploring Team Interactions, Michelle Anne Trimbur
Exploring Team Interactions, Michelle Anne Trimbur
Browse all Theses and Dissertations
This exploratory qualitative case study examined conversational turning points and their role in transforming interaction within a self-managed team (SMT). While considerable scholarship has explored SMTs in organizational settings, research has yet to explore one of the longest-standing SMTs, the United States Supreme Court. Guided by a constructivist paradigm and grounded in discursive and ethnomethodological traditions, this study conversational turning points, defined as juxtapositions of remembered pasts and imagined futures, in the oral arguments of Mallory v. Norfolk Southern Railway Co. (2023). Data sources included the official transcript and audio of the oral arguments, supported by briefs and opinions from …
Scalable Real-Time Stream Clustering For Unbounded Text Streams, Nathaniel C. Crossman
Scalable Real-Time Stream Clustering For Unbounded Text Streams, Nathaniel C. Crossman
Browse all Theses and Dissertations
Social media, AI systems, IoT sensors, and other platforms generate vast amounts of streaming data. Given this vast volume of information, techniques that can reduce and aggregate data into meaningful topics are essential. One such technique is the two-phase stream clustering approach. In the first, online micro-clustering phase, the system forms micro-clusters from the incoming data stream, incrementally merges new items into related existing micro-clusters, and prunes or fades micro-clusters as they become inactive, producing a constantly updating yet compact set of micro-clusters representing potential topics and subtopics of the stream. In the second, offline macro-clustering phase, these micro-clusters are …
Patient Subset Classification Using Encoded Embeddings And Knowledge Graph Retrieval-Augmented Generation, Benjamin A. Holmes
Patient Subset Classification Using Encoded Embeddings And Knowledge Graph Retrieval-Augmented Generation, Benjamin A. Holmes
Browse all Theses and Dissertations
The widespread adoption of electronic medical records has created a vast reservoir of clinical data that can be leveraged to better understand how interventions relate to patient outcomes. Much of this information, however, exists as unstructured free-text, posing significant challenges for traditional statistical and machine-learning methods. Solving these challenges would allow the extraction of specific patient subpopulations (clinically relevant cohorts of individuals who share overlapping symptoms, risk factors, or diagnostic criteria), which could be used in precision medicine. Despite this promise, extracting these subpopulations from unstructured medical notes is an ongoing challenge due to the variability of clinical language and …
Quantification Of Porosity In Hfb2–20%Sic Using Convolutional Neural Networks, Cameron J. Floyd
Quantification Of Porosity In Hfb2–20%Sic Using Convolutional Neural Networks, Cameron J. Floyd
Browse all Theses and Dissertations
Ultra-high-temperature ceramics, commonly used in aerospace applications, operate in high-temperature oxidizing environments where a surface scale forms and regulates oxy gen access. For hafnium diboride–silicon carbide (HfB2–SiC), that scale consists of a borosilicate glass layer over a porous HfO2 skeleton. Oxygen transport through this poros ity governs the kinetics of mechanistic models, requiring reproducible inputs for accurate pore fraction (PF), pore-size distributions, and ultimately tortuosity. This thesis replaces rule-based SEM thresholding with a convolutional neural network that segments pores and predicts the pore-radius distribution for transport models. The resulting calibrated porosity maps and size distributions transfer within the acquisition domain …
Generative Adversarial Networks (Gans) For High-Dimensional Biological Data, Harigovind Harikumar
Generative Adversarial Networks (Gans) For High-Dimensional Biological Data, Harigovind Harikumar
Browse all Theses and Dissertations
This thesis investigates the application of Generative AI models, mainly Generative Adversarial Network (GAN) models to high dimensional and low sample size biological datasets like Motion Sickness, Breast Cancer, Crohn, and Melanoma. We utilized and compared three generative AI frameworks: Vanilla GAN, Wasserstein GAN (WGAN), Locality-Sensitive Hashing GAN (LSH-GAN) and Omics GAN. To address the challenges associated with high-dimensionality and low sample size, which was leading to very poor outputs of biological synthetic samples, we came up with an approach to stop the model when it reaches its saturation level. That is, we printed the loss plots to see where …
Pixmix Attack: Implementation And Evaluation Of A Novel Pixel Injection On Digital Video Port (Dvp) Interface In Embedded Camera Systems With Pcb Hardware Trojan, Sayed Md Tashfi Nowroz
Pixmix Attack: Implementation And Evaluation Of A Novel Pixel Injection On Digital Video Port (Dvp) Interface In Embedded Camera Systems With Pcb Hardware Trojan, Sayed Md Tashfi Nowroz
Browse all Theses and Dissertations
Image sensors are at the heart of machine vision systems in robotics, industrial automation, and surveillance systems which ideally operate with minimal human supervision and only occasional maintenance. The image sensors convert visible light into electrical signals which are locally decoded to image on the printed circuit board (PCB) by an ordinary embedded processor System on Chip (SoC). This thesis investigates a critical vulnerability in such systems, targeting the communication protocol at the signal level during runtime. Specifically, it focuses on a novel attack in the Digital Video Port (DVP) protocol, possible to exploit with PCB-based hardware Trojans, to craft …
A Secure Ml-Assisted Framework For Resilient And Efficient Prediction Of Physiotherapy Sequence In Bilateral Carpal Tunnel Syndrome, Pratik Pandurang Kharat
A Secure Ml-Assisted Framework For Resilient And Efficient Prediction Of Physiotherapy Sequence In Bilateral Carpal Tunnel Syndrome, Pratik Pandurang Kharat
Browse all Theses and Dissertations
Bilateral idiopathic carpal tunnel syndrome (CTS) is a neuromuscular disorder characterized by compression of the median nerve at both wrists, leading to symptoms such as pain, numbness, tingling, and muscle weakness. Unlike unilateral cases, bilateral idiopathic CTS presents distinct therapeutic challenges due to the simultaneous involvement of both hands and the lack of an identifiable underlying cause. This study explores the application of machine learning techniques to predict the optimal sequence of physiotherapeutic interventions Stretching followed by Myofascial Mobilization (S/M) or the reverse (M/S) in female patients with bilateral idiopathic CTS and right hand dominance. Data were drawn from a …
The Impact Of Ahr And Hs1.2 Enhancer Genetic Variations On Igh Expression And Antibody Production In Human B Cells, Mili Santosh Bhakta-Yadav
The Impact Of Ahr And Hs1.2 Enhancer Genetic Variations On Igh Expression And Antibody Production In Human B Cells, Mili Santosh Bhakta-Yadav
Browse all Theses and Dissertations
Antibody production is an essential component of the immune response against pathogens. The immunoglobulin heavy chain (IgH) gene codes for the heavy chain of antibodies. The IgH constant regions Cμ, Cδ, Cγ1-4, Cα1-2, and Cε encode the five major classes of antibodies, i.e., IgM, IgD, IgG1-4, IgA1-2, and IgE, respectively. The transcription of the IgH gene and class switch from IgM to other isotypes is regulated by two 3’ IgH regulatory regions (3’IgHRRs), each of which is a cluster of three enhancer regions (hs3, hs1.2 and hs4). The genetic variations in the hs1.2 enhancer have been identified; a ~53 bp …
Learning Under Data Scarcity: Reasoning And Negative Distillation For Texts And Graphs, Calvin T. Greenewald
Learning Under Data Scarcity: Reasoning And Negative Distillation For Texts And Graphs, Calvin T. Greenewald
Browse all Theses and Dissertations
Modern machine learning (ML) models rely on large amounts of high-quality labeled data to achieve optimal performance. However, in many real-world domains, such as cyber security, acquiring sufficient labeled data is often infeasible due to cost, privacy concerns, and the rapid evolution of underlying phenomena. This challenge underscores the importance of learning under data scarcity. This thesis addresses this challenge by proposing distinct, modality-specific techniques for text and graph domains, which allow models to generalize effectively with minimal data. For text classification task, we incorporate distilled rationales from large language models and adversarial perturbations into the input space to improve …
Bioresource Management Via Least Cost Feed Formulation For Red Tilapia (Oreochromis Sp.): Application Of Linear Programming Technique, Boudjema Kamel, Redhouane Benfares, Affaf Kord, Toufik Milla, Belkacem Guenachi, Lynda Frai, Rachida Itcher, Hocine Kherzane
Bioresource Management Via Least Cost Feed Formulation For Red Tilapia (Oreochromis Sp.): Application Of Linear Programming Technique, Boudjema Kamel, Redhouane Benfares, Affaf Kord, Toufik Milla, Belkacem Guenachi, Lynda Frai, Rachida Itcher, Hocine Kherzane
Journal of Bioresource Management
The method of linear programming (LP) was utilized to determine the relationship between the composition of nutrients of each ingredients, specifications for raw materials, cost and requirements for nutrients of the red tilapia (Oreochromis sp.), in order to define: (1) least cost ration formulation, (2) least cost diet, (3) minimum price of producing a particular diet after meeting a number of requirements. The resulting LP models were solved using the simplex algorithm. Therefore, our results show that, formulated feed had high protein content (31.92 %), Lipid (2.53), Moisture (9.10 %) and Ash (9.00 %). The utilization of diet …
Reduced K+ Build-Up In T-Tubules Contributes To Resistance Of The Diaphragm To Myotonia, Jessica H. Myers, Kirsten Denman, Chris Dupont, Brent D. Foy, Mark M. Rich
Reduced K+ Build-Up In T-Tubules Contributes To Resistance Of The Diaphragm To Myotonia, Jessica H. Myers, Kirsten Denman, Chris Dupont, Brent D. Foy, Mark M. Rich
Physics Faculty Publications
Patients with myotonia congenita suffer from slowed muscle relaxation caused by hyperexcitability. The diaphragm is only mildly affected in myotonia congenita; discovery of the mechanism underlying its resistance to myotonia could identify novel therapeutic targets. Intracellular recordings from two mouse models of myotonia congenita revealed the diaphragm had less myotonia than either the extensor digitorum longus (EDL) or the soleus muscles. A mechanism contributing to resistance of the diaphragm to myotonia was reduced depolarization of the interspike membrane potential during repetitive firing of action potentials, a process driven by build-up of K+ in small invaginations of muscle membrane known as …
Towards A Global Food Systems Datahub: Editorial, Hande Küçük Mcginty, Cogan Shimizu, Pascal Hitzler, Ajay Sharda
Towards A Global Food Systems Datahub: Editorial, Hande Küçük Mcginty, Cogan Shimizu, Pascal Hitzler, Ajay Sharda
Computer Science and Engineering Faculty Publications
In the quest for agricultural sustainability, we face the challenge of feeding the global population under the constraints of finite resources and a delicate ecological balance. The intricate interplay of climate dynamics, socio-economic factors, and environmental stewardship demands an approach to agriculture that is as intelligent and adaptive as it is respectful of our planet’s capacities. Central to this endeavor is the synthesis and utilization of vast, heterogeneous datasets that span from crop genomics to market trends, and from soil health to consumer preferences. Yet, the current paradigm is fragmented, with valuable data isolated across domains, lacking the coherence and …
Undergraduate And Graduate Course Descriptions, Fall 2024, Wright State University
Undergraduate And Graduate Course Descriptions, Fall 2024, Wright State University
Course Descriptions
Wright State University undergraduate and graduate course descriptions from Fall 2024
Ontology Design Facilitating Wikibase Integration — And A Worked Example For Historical Data, Cogan Shimizu, Andrew Eells, Seila Gonzalez, Lu Zhou, Pascal Hitzler, Alicia Sheill, Catherine Foley, Dean Rehberger
Ontology Design Facilitating Wikibase Integration — And A Worked Example For Historical Data, Cogan Shimizu, Andrew Eells, Seila Gonzalez, Lu Zhou, Pascal Hitzler, Alicia Sheill, Catherine Foley, Dean Rehberger
Computer Science and Engineering Faculty Publications
Wikibase – which is the software underlying Wikidata – is a powerful platform for knowledge graph creation and management. However, it has been developed with a crowd-sourced knowledge graph creation scenario in mind, which in particular means that it has not been designed for use case scenarios in which a tightly controlled high-quality schema, in the form of an ontology, is to be imposed, and indeed, independently developed ontologies do not necessarily map seamlessly to the Wikibase approach. In this paper, we provide the key ingredients needed in order to combine traditional ontology modeling with use of the Wikibase platform, …
Festival Of Research Abstracts, Fall 2024, College Of Science And Mathematics, Wright State University
Festival Of Research Abstracts, Fall 2024, College Of Science And Mathematics, Wright State University
Festival of Research
The collection of abstracts accepted for the Fall 2024 Festival of Research hosted by the Wright State University College of Science and Mathematics.
Three-Dimensionalization Mediates The Subjective Experience Of Fractal Interior Spaces, Joori Suh, William Stalker, Steen Pedersen, Assaf Harel
Three-Dimensionalization Mediates The Subjective Experience Of Fractal Interior Spaces, Joori Suh, William Stalker, Steen Pedersen, Assaf Harel
Psychology Faculty Publications
A fractal, a self-similar organic or geometric pattern that repeats at varying scales, is one of the most compelling characteristics found in nature. Previous studies on fractal patterns have demonstrated consistent trends in potential psychological benefits, such as stress reduction. However, we fall short of understanding one of the essential properties of fractals found in nature, i.e., the three-dimensionality of their appearance. In this study, we aimed at understanding the role of the three-dimensionalization of fractal patterns in spatial structures on human subjective perceptual experience. Two hundred seventy three-dimensional spatial prototype models were created for this study, spanning two dimensions: …
Wright State University Libraries Annual Report 2023 - 2024, Wright State University Libraries
Wright State University Libraries Annual Report 2023 - 2024, Wright State University Libraries
University Libraries' Annual Reports
The 2023-2024 Annual Report by the Wright State University Libraries highlighting the various happenings at the University Libraries including staff updates, public services highlights, and events.
The College Campus, A Place Of Learning, And A Place Of Healing, Huma Bashir, Joshua Francis
The College Campus, A Place Of Learning, And A Place Of Healing, Huma Bashir, Joshua Francis
Human Services Faculty Publications
The COVID-19 pandemic and its aftermath have precipitated a marked increase in mental health needs among college students. Lockdowns, the sudden shift to remote learning, and social distancing mandates have compounded existing challenges, highlighting a trend that has evolved over the past two decades. Despite heightened demand for mental health support, colleges struggle to meet these needs amid the emotional aftermath of COVID-19 effectively. Recognizing the pivotal role of higher education institutions in shaping future leaders and addressing and enhancing the mental well-being of the college community is imperative to foster an environment conducive to learning and healing. This paper …
Undergraduate And Graduate Course Descriptions, Summer 2024, Wright State University
Undergraduate And Graduate Course Descriptions, Summer 2024, Wright State University
Course Descriptions
Wright State University undergraduate and graduate course descriptions from Summer 2024
Provincial Reference Fertilizer Testing Laboratory Raiwind, Lahore, Pakistan, Muhammad Arshad Khan, Haroon Shahzad, Muhammad Abubakar Siddique, Husnain Jawad, Muhammad Atiq Ur Rahman, Muhammad Iqbal, Muhammad Kashan, Farhana -
Provincial Reference Fertilizer Testing Laboratory Raiwind, Lahore, Pakistan, Muhammad Arshad Khan, Haroon Shahzad, Muhammad Abubakar Siddique, Husnain Jawad, Muhammad Atiq Ur Rahman, Muhammad Iqbal, Muhammad Kashan, Farhana -
Journal of Bioresource Management
A field study conducted during the 2021-22 season aimed to assess the impact of varying nitrogen levels (0, 50, 100, and 150 kg N ha-1) on the wheat genotypes Faisalabad-2008 and AZRC-Dera. Detailed data on growth and yield parameters were collected and subjected to analysis. AZRC-Dera exhibited superior performance, consistently producing more plants throughout the crop growth. Incremental nitrogen application significantly increased plant number 224.2, 304.2 and 305.9 m-2 on 15th of December, 20th of January and 5th of April. AZRC-Dera, coupled with 150 kg ha-1 nitrogen, showed a discernible increase in both …
Behavioural Distributions Of Macrophytes In An Oxbow Lake, Dhir Beel With Reference To Its Water Quality In Assam, India, Arup Nama Das, D. K. Sharma
Behavioural Distributions Of Macrophytes In An Oxbow Lake, Dhir Beel With Reference To Its Water Quality In Assam, India, Arup Nama Das, D. K. Sharma
Journal of Bioresource Management
An Oxbow lake, Dhir Beel, situated in Western Assam, India, stands as a habitat for a plethora of plant and animal species, nurturing a vibrant ecosystem within its freshwater environs. This study sought to address concerns surrounding pollution, encroachment, siltation, and overfishing within Dhir Beel. Over a span of three years (2016-2019), samples were meticulously collected from five distinct sites to analyze both water quality and macrophyte populations. Employing the APHA method, the physico-chemical parameters of the water were evaluated, while a comprehensive identification process was undertaken to categorize the macrophytes. These aquatic plants, spanning dicots, monocots, and pteridophytes, were …
Effects Of The Biochar Of Senna Tora On The Soil Fertility Of Misau Farmlands, Bauchi State, Northern Nigeria, Ozoilo Onyeka Calistus, Umar Faruk Hassan, Auwal Adamu Mahmoud, Haruna Baba, Hamza Badamasi, Hannatu Akanang
Effects Of The Biochar Of Senna Tora On The Soil Fertility Of Misau Farmlands, Bauchi State, Northern Nigeria, Ozoilo Onyeka Calistus, Umar Faruk Hassan, Auwal Adamu Mahmoud, Haruna Baba, Hamza Badamasi, Hannatu Akanang
Journal of Bioresource Management
The use of biochar as an amendment to the soil is attracting the scientific community's attention because of its cost-effectiveness, eco-friendliness, and its promising success in increasing the fertility of the soil and crop yield. In the present study, the effects of biochar from Senna tora applications on soil characteristics and the availability of micronutrients in Misau, Bauchi State, Nigeria, were explored. A completely randomized approach was adopted and duplicated three times, with reference soil (no biochar), 30-day, and 60-day biochar treatments. The biochar was removed at the end of the treatment, and soil samples from the various treatments were …
Easy-Ai: Semantic And Composable Glyphs For Representing Ai Systems, Alexis Ellis, Brandon Dave, Hugh Salehi, Subhashini Ganapathy, Cogan Shimizu
Easy-Ai: Semantic And Composable Glyphs For Representing Ai Systems, Alexis Ellis, Brandon Dave, Hugh Salehi, Subhashini Ganapathy, Cogan Shimizu
Computer Science and Engineering Faculty Publications
Despite the rapid integration of artificial intelligence (AI) into various research domains and the lives of everyday people, challenges with communicating and understanding these AI systems arise. The lack of a consistent method of communication highlights the need for a transdisciplinary approach to explain the inner workings of AI systems in a cohesive and accessible manner. We thus propose an ontological visual framework using semantically-enhanced, symbols, providing a symbolic language for conveying the structure, purpose, and characteristics of AI systems. The framework encompasses a generalizable glyph set of various AI system components, ensuring both common and obscure architectures can be …
Carl Maneri, Mathematics And Statistics, Carl Maneri, Kathy Morris
Carl Maneri, Mathematics And Statistics, Carl Maneri, Kathy Morris
Wright State University Retirees Association Oral History Project
In this May 10, 2024 oral history interview conducted by Kathy Morris, Carl Maneri reflects on his thirty-year career as a founding faculty member in Wright State University’s Department of Mathematics and Statistics. He discusses the university’s early development, faculty governance, departmental leadership, and the challenges of teaching first-generation students at a growing public institution.
Numerical Investigation Of Supersonic Flow Over A Wedge By Solving 2d Euler Equations Utilizing The Steger–Warming Flux Vector Splitting (Fvs) Scheme, Mitch Wolff, Hashim H. Abada, Hussein Awad Kurdi Awad Kurdi Saad
Numerical Investigation Of Supersonic Flow Over A Wedge By Solving 2d Euler Equations Utilizing The Steger–Warming Flux Vector Splitting (Fvs) Scheme, Mitch Wolff, Hashim H. Abada, Hussein Awad Kurdi Awad Kurdi Saad
Mechanical and Materials Engineering Faculty Publications
Supersonic flow over a half-angle wedge (θ = 15°) with an upstream Mach number of 2.0 was investigated using 2D Euler equations where sea level conditions were considered. The investigation employed the Steger–Warming flux vector splitting (FVS) method executed in MATLAB 9.13.0 (R2022b) software. The study involved a meticulous comparison between theoretical calculations and numerical results. Particularly, the research emphasized the angle of oblique shock and downstream flow properties. A substantial iteration count of 2000 iteratively refined the outcomes, underscoring the role of advanced computational resources. Validation and comparative assessment were conducted to elucidate the superiority of the Steger–Warming flux …
Faculty Senate Meeting Agenda And Minutes, April 22, 2024
Faculty Senate Meeting Agenda And Minutes, April 22, 2024
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on, April 22, 2024.
Festival Of Research Abstracts, Spring 2024, College Of Science And Mathematics, Wright State University
Festival Of Research Abstracts, Spring 2024, College Of Science And Mathematics, Wright State University
Festival of Research
The collection of abstracts accepted for the Spring 2024 Festival of Research hosted by the Wright State University College of Science and Mathematics.