Digital Commons Network^™

Human-Ai Teaming For Dynamic Interpersonal Skill Training, Xavian Alexander Ogletree

Browse all Theses and Dissertations

In almost every field, there is a need for strong interpersonal skills. This is especially true in fields such as medicine, psychology, and education. For instance, healthcare providers need to show understanding and compassion for LGBTQ+ and BIPOC (Black, Indigenous, and People of Color), or individuals with unique developmental or mental health needs. Improving interpersonal skills often requires first-person experience with expert evaluation and guidance to achieve proficiency. However, due to limited availability of assessment capabilities, professional standardized patients and instructional experts, students and professionals currently have inadequate opportunities for expert-guided training sessions. Therefore, this research aims to demonstrate leveraging …

Performance Of A Dual Plane Airfoil Model With Varying Gap, Stagger, And Decalage Using Pressure Measurements And Particle Image Velocimetry, Salome Kenneth Nunes

Browse all Theses and Dissertations

The dual-plane airfoil has been adopted in the design of aircraft wings, wind turbine blades, and propellers. The purpose of this research is to investigate the most important design parameters of a dual-plane airfoil model for the best aerodynamic performance, such as gap, stagger, and decalage. The dual-plane airfoil model was designed using the S826 profile. A mechanical mechanism with electrical actuator control is particularly designed to alter the gap and stagger smoothly, as well as the angle of attack (AOA) for each airfoil. It results in a gap range of 1.38c to 2.17c, a stagger range of -0.75c to …

A Deep Understanding Of Structural And Functional Behavior Of Tabular And Graphical Modules In Technical Documents, Michail Alexiou

Browse all Theses and Dissertations

The rapid increase of published research papers in recent years has escalated the need for automated ways to process and understand them. The successful recognition of the information that is contained in technical documents, depends on the understanding of the document’s individual modalities. These modalities include tables, graphics, diagrams and etc. as defined in Bourbakis’ pioneering work. However, the depth of understanding is correlated to the efficiency of detection and recognition. In this work, a novel methodology is proposed for automatic processing of and understanding of tables and graphics images in technical document. Previous attempts on tables and graphics understanding …

Ecological Interface Design For Flexible Manufacturing Systems: An Empirical Assessment Of Direct Perception And Direct Manipulation In The Interface, Dylan G. Cravens

Browse all Theses and Dissertations

Four interfaces were developed to factorially apply two principles of ecological interface design (EID; direct perception and direct manipulation) to a flexible manufacturing system (FMS). The theoretical foundation and concepts employed during their development, with findings related to more significant issues regarding interface design for complex socio-technical systems, are discussed. Key aspects of cognitive systems engineering (CSE) and EID are also discussed. An FMS synthetic task environment was developed, and an experiment was conducted to evaluate real-time decision support during supervisory operations. Participants used all four interfaces to supervise and maintain daily part production at systematically varied levels of difficulty …

Application Of Analogical Reasoning For Use In Visual Knowledge Extraction, Kara Lian Combs

Browse all Theses and Dissertations

There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, this is a difficult task because of its inability to learn beyond its current comprehension. Analogical reasoning (AR) has been proposed as one method to achieve this goal. Current literature lacks a technical comparison on psychologically-inspired and natural-language-processing-produced AR algorithms with consistent metrics on multiple-choice word-based analogy problems. Assessment is based on “correctness” and “goodness” metrics. There is not a one-size-fits-all algorithm for all textual problems. As contribution in visual AR, a convolutional neural network (CNN) is integrated with the AR vector space model, Global …

Effect Of Cloud Cover On Optimum Orientations Of Fixed Solar Panels For Maximum Yearly Energy Collection, Prethew Prasad

Browse all Theses and Dissertations

The amount of cloud cover present in the sky is a significant factor when determining the solar radiation impinging on a solar panel. The optimum tilt required to achieve maximum energy impingement on a surface is also influenced by the amount of cloud cover. This work presents a method for determining the optimum tilt angle for a fixed solar panel when a set amount of cloud cover is present in the sky. Fixed tilt angles that have the most incident solar energy over the course of a year as a function of cloud cover, latitude, and azimuthal angle orientation are …

Leveraging Sequential Nature Of Conversations For Intent Classification, Shree Gotteti

Browse all Theses and Dissertations

Conversations are more than just a sequence of text, it is where two or more participants interact in order to achieve their goals. Conversation Understanding (CU) requires all participants to understand each others intent. In the past decade, CU has been extended from automated human-human text processing to build automated conversational agents for human-machine interactions. Despite their popularity, these automated conversational agents (like Siri, Alexa, etc) can't handle more than one or two utterances, and they don't recognize conversations as intents. The development of approaches that extract intents behind an utterance is essential for the advancements of Question Answering (QA) …

Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani

Browse all Theses and Dissertations

People in today's world seek things that are simple to use. Learning is one of the most crucial aspects of the ongoing digital transformation. Everything is now accessible with a single click on mobile devices, making access to instructional materials faster, easier, and more comfortable. It takes time and effort to build abilities and become an expert in the fields of learning, training, and teaching; and music learning demands a great deal of both practice and mentoring. Initially, music teachers and band directors must maintain a steady attention and devote a significant amount of time to manually teaching materials. This …

The House Of Yisrael Cincinnati: How Normalized Institutional Violence Can Produce A Culture Of Unorthodox Resistance 1963 To 2021, Sabyl M. Willis

Browse all Theses and Dissertations

This study examines the racial, socio-economic, and political factors that shaped The House of Yisrael, a Black Nationalist community in Cincinnati, Ohio. The members of this community structure their lives following the Black Hebrew Israelite ideology sharing the core beliefs that Black people are the "true" descendants of the ancient Israelites of the biblical narrative. Therefore, as Israelites, Black people should follow the Torah as a guideline for daily life. Because they are the "chosen people," God will judge those who have oppressed them. This ideology, which began in the U.S. during the nineteenth century, has recently been growing more …

Complex Interactions Between Multiple Goal Operations In Agent Goal Management, Sravya Kondrakunta

Browse all Theses and Dissertations

A significant issue in cognitive systems research is to make an agent formulate and manage its own goals. Some cognitive scientists have implemented several goal operations to support this issue, but no one has implemented more than a couple of goal operations within a single agent. One of the reasons for this limitation is the lack of knowledge about how various goals operations interact with one another. This thesis addresses this knowledge gap by implementing multiple-goal operations, including goal formulation, goal change, goal selection, and designing an algorithm to manage any positive or negative interaction between them. These are integrated …

A Deep Understanding Of Structural And Functional Behavior Of Tabular And Graphical Modules In Technical Documents, Michail Alexiou

Browse all Theses and Dissertations

The rapid increase of published research papers in recent years has escalated the need for automated ways to process and understand them. The successful recognition of the information that is contained in technical documents, depends on the understanding of the document’s individual modalities. These modalities include tables, graphics, diagrams and etc. as defined in Bourbakis’ pioneering work. However, the depth of understanding is correlated to the efficiency of detection and recognition. In this work, a novel methodology is proposed for automatic processing of and understanding of tables and graphics images in technical document. Previous attempts on tables and graphics understanding …

Publication Status Of Unpublished Research Manuscripts On Orthopaedic Surgery Residency Applications After 30 Months, J. T. Barnes

Scholarship in Medicine - All Papers

Objectives: The orthopaedic surgery residency applicant class of 2016 had a nationwide match rate of 67.8%. This institution received 573 applications for four residency spots. As orthopaedic surgery residency becomes more competitive, so does the drive among applicants to improve their residency applications. Research experience, in particular, is becoming an increasingly common component of applications. Previous research has demonstrated that the requirement for a PubMed Identification number on all published citations on residency applications since 2014 has led to a drastic decrease in misrepresentation of published research. While publication is the ultimate goal of most research projects, not all manuscripts …

Wright State University Fact Sheet, 2020-2021, Office Of Institutional Research & Effectiveness, Wright State University

Wright State University Fact Sheets

The Wright State University Fact Sheet showcasing numbers and statistics for Wright State University including demographics, funding, programs, and employment for the 2020-2021 academic year.

How Medical Student Adherence To Assigned Readings In A Flipped Classroom Curriculum Affects Their Outcomes, Meghan Blank

Scholarship in Medicine - All Papers

Objective: This study is aimed at finding out which level and type of preparation is most effective in helping students to achieve success in a flipped classroom curriculum.

Methods: Surveys were conducted regarding the percentage of required preparation students completed for each type of learning session (peer instruction, team-based learning), whether or not they used supplemental resources, and whether or not they completed >50% or < 50% of the required preparation. These were then compared to student scores on the type of learning activity through Spearman correlations and unpaired t-tests.

Results: The greater the percentage of required preparation completed typically resulted in higher test scores. Supplemental preparation did not directly correlate with higher test scores, with some cases showing a decrease in score with the …

Evaluating Academic Performance In Students Who Are Underrepresented In Medicine, Alexis Marrin

Scholarship in Medicine - All Papers

Objective: The purpose of this study was to investigate academic performance throughout the first two years of medical education of students who classify themselves as underrepresented in medicine (URM) as compared to non-URM students. Methods: Final exam scores from each course throughout the Foundation phase, Clinical Medicine evaluation scores, CBSE scores, and Step 1 scores from three classes of medical students at Wright State University Boonshoft School of Medicine were analyzed using multiple linear regression models, while controlling for MCAT percentile, undergraduate science GPA, and gender. Results: URM students enter medical school with lower entrance data than non-URM students, and …

Application Of Analogical Reasoning For Use In Visual Knowledge Extraction, Kara Lian Combs

Browse all Theses and Dissertations

There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, this is a difficult task because of its inability to learn beyond its current comprehension. Analogical reasoning (AR) has been proposed as one method to achieve this goal. Current literature lacks a technical comparison on psychologically-inspired and natural-language-processing-produced AR algorithms with consistent metrics on multiple-choice word-based analogy problems. Assessment is based on “correctness” and “goodness” metrics. There is not a one-size-fits-all algorithm for all textual problems. As contribution in visual AR, a convolutional neural network (CNN) is integrated with the AR vector space model, Global …

Complex Interactions Between Multiple Goal Operations In Agent Goal Management, Sravya Kondrakunta

Browse all Theses and Dissertations

A significant issue in cognitive systems research is to make an agent formulate and manage its own goals. Some cognitive scientists have implemented several goal operations to support this issue, but no one has implemented more than a couple of goal operations within a single agent. One of the reasons for this limitation is the lack of knowledge about how various goals operations interact with one another. This thesis addresses this knowledge gap by implementing multiple-goal operations, including goal formulation, goal change, goal selection, and designing an algorithm to manage any positive or negative interaction between them. These are integrated …

Adaptive Two-Stage Edge-Centric Architecture For Deeply-Learned Embedded Real-Time Target Classification In Aerospace Sense-And-Avoidance Applications, Nicholas A. Speranza

Browse all Theses and Dissertations

With the growing number of Unmanned Aircraft Systems, current network-centric architectures present limitations in meeting real-time and time-critical requirements. Current methods utilizing centralized off-platform processing have inherent energy inefficiencies, scalability challenges, performance concerns, and cyber vulnerabilities. In this dissertation, an adaptive, two-stage, energy-efficient, edge-centric architecture is proposed to address these limitations. A novel, edge-centric Sense-and-Avoidance architecture framework is presented, and a corresponding prototype is developed using commercial hardware to validate the proposed architecture. Instead of a network-centric approach, processing is distributed at the logical edge of the sensors, and organized as Detection and Classification Subsystems. Classical machine vision algorithms are …

Development Of A Computer Model To Simulate Battery Performance For Use In Renewable Energy Simulations, Arjun Sundararajan

Browse all Theses and Dissertations

Renewable and clean energy has been the driving force behind the booming storage industry. The need for producing energy from clean and quickly replenishable energy sources has never been as high as it is now. However, renewable energy only supplies a little over a quarter of the world’s electricity needs and much less of the world’s total energy requirements. One reason is the intermittent nature of renewable energy. Inexpensive and convenient storage technologies are required to solve this issue. It is believed that batteries offer the most viable solution to conquer the problem of renewable energy intermittency. To aid the …

An Analysis Of C/C++ Datasets For Machine Learning-Assisted Software Vulnerability Detection, Daniel Grahn, Junjie Zhang

Computer Science and Engineering Faculty Publications

As machine learning-assisted vulnerability detection research matures, it is critical to understand the datasets being used by existing papers. In this paper, we explore 7 C/C++ datasets and evaluate their suitability for machine learning-assisted vulnerability detection. We also present a new dataset, named Wild C, containing over 10.3 million individual opensource C/C++ files – a sufficiently large sample to be reasonably considered representative of typical C/C++ code. To facilitate comparison, we tokenize all of the datasets and perform the analysis at this level. We make three primary contributions. First, while all the datasets differ from our Wild C dataset, some …

Recommending Collaborations Using Link Prediction, Nikhil Chennupati

Browse all Theses and Dissertations

Link prediction in the domain of scientific collaborative networks refers to exploring and determining whether a connection between two entities in an academic network may emerge in the future. This study aims to analyze the relevance of academic collaborations and identify the factors that drive co-author relationships in a heterogeneous bibliographic network. Using topological, semantic, and graph representation learning techniques, we measure the authors' similarities w.r.t their structural and publication data to identify the reasons that promote co-authorships. Experimental results show that the proposed approach successfully infer the co-author links by identifying authors with similar research interests. Such a system …

Technical Study: Skills Trac Associate Degree Annual Program Outcomes Assessments, 2020-21, Lake Campus, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Technical Study: Skills Trac Associate Degree program for the 2020-2021 academic year.

Augmented Reality Headset Facilitates Exposure For Surgical Stabilization Of Rib Fractures, T. Sensing, Pratik Parikh, Claire Hardman, Thomas Wischgoll, Sadan Suneesh Menon

Computer Science and Engineering Faculty Publications

Recent advances in augmented reality (AR) technology have made it more accessible, portable, and powerful. AR headsets differentiate themselves from virtual reality in that they allow the wearer an unobstructed view of the “real world” but with an image superimposed upon it. The technology has many potential applications in medicine, including surgical planning, simulation, and medical education. The aim of this project was to provide proof of concept that using an AR headset during surgical stabilization of rib fractures (SSRF) is feasible. We theorized that the use of AR could allow for more precise localization of fractures, allowing for smaller …

Information Technology And Cybersecurity Baccalaureate Degree Annual Program Outcomes Assessments, 2020-21, College Of Engineering And Computer Science, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Information Technology and Cybersecurity Baccalaureate Degree program for the 2020-2021 academic year.

In The Shadow Of Freedom Of Religion And Press, Hee-Young Shin

Economics Faculty Publications

The Korean government’s public health responses to the COVID-19 epidemic have achieveda remarkable outcome in terms of the measured number of infected patients and theoverall mortality rate. Nonetheless, the public health authority’s various mitigationstrategies and vaccination efforts have faced several challenges primarily posed bypolitically motivated Christian fundamentalists and ultraconservative media’s distortednews framing in Korea. This paper examines how these conservative forces – both religiousand political – have undermined the Korean public health authority’s various mitigationefforts and discusses how to address the problems from a public policy point of view. Thepaper argues that a comprehensive legal reform including the introduction of …

Toward Undifferentiated Cognitive Models, Colin Kupitz, Aaron Eberhart, Daniel Schmidt, Christopher Stevens, Cogan Shimizu, Pascal Hitzler, Dario D. Salvucci, Benji Maruyama, Christopher W. Myers

Computer Science and Engineering Faculty Publications

Autonomous systems are a new frontier for pushing sociotechnical advancement. Such systems will eventually become pervasive, involved in everything from manufacturing, healthcare, defense, and even research itself. However, proliferation is stifled by the high development costs and the resulting inflexibility of the produced systems. The current time needed to create and integrate state of the art autonomous systems that operate as team members in complex situations is a 3-15 year development period, often requiring humans to adapt to limitations in the resulting systems. A new research thrust in interactive task learning (ITL: Laird et al., 2017) has begun, calling for …

Automatically Generating Human Readable Documentation For Ontology Design Patterns, Cogan Shimizu, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Keeping documentation consistent across deliverables is frequently a hassle. This program is a method for extracting and utilizing the common documentation annotations and those more specific to ontology design patterns from OWL files and rendering via LaTeX to provide a human readable, shareable PDF.

A Pattern For Modeling Causal Relations Between Events, Cogan Shimizu, Rui Zhu, Gengchen Mai, Mark Schildhauer, Krzysztof Janowicz, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Space and time are useful nexuses for integrating data. For instance, events affect the places in which they occur and the people that participate in them. By capturing the effects that they may have on a place, coupled with authoritative sources on possible causality between types of events, we can model causal relations between events. In this paper we present an ontology design pattern for modeling the causal relations between events, discuss the primary conceptual components, how they may be instantiated, and present overarching examples related to the domain of disaster risk management.

Aerospace Systems Engineering Master's Degree Annual Program Outcomes Assessments, 2020-21, College Of Engineering And Computer Science, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Aerospace Systems Engineering Master's Degree program for the 2020-2021 academic year.

Biomedical Engineering Master's Degree Annual Program Outcomes Assessments, 2020-21, College Of Engineering And Computer Science, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Biomedical Engineering Master's Degree program for the 2020-2021 academic year.