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Articles 661 - 690 of 7018
Full-Text Articles in Entire DC Network
An Interaction Between Anthropomorphism And Personality On Trust In Automated Systems, Abraham Haskins
An Interaction Between Anthropomorphism And Personality On Trust In Automated Systems, Abraham Haskins
Browse all Theses and Dissertations
Automated assistance is increasingly being implemented in domains ranging from healthcare to transportation. The reason for the tendency for certain users to trust or mistrust automated assistance has been studied to mixed effect. I examined the effect of anthropomorphism as an independent factor on user trust. In addition, I examined the potential for anthropomorphism to act as a moderator between the personality traits of a user and the trust a user demonstrates in the automated aid. Though the participants in the anthropomorphic condition did view the assistant as more human-like, the level of anthropomorphism had no effect on user behavior. …
Texture-Driven Image Clustering In Laser Powder Bed Fusion, Alexander H. Groeger
Texture-Driven Image Clustering In Laser Powder Bed Fusion, Alexander H. Groeger
Browse all Theses and Dissertations
The additive manufacturing (AM) field is striving to identify anomalies in laser powder bed fusion (LPBF) using multi-sensor in-process monitoring paired with machine learning (ML). In-process monitoring can reveal the presence of anomalies but creating a ML classifier requires labeled data. The present work approaches this problem by printing hundreds of Inconel-718 coupons with different processing parameters to capture a wide range of process monitoring imagery with multiple sensor types. Afterwards, the process monitoring images are encoded into feature vectors and clustered to isolate groups in each sensor modality. Four texture representations were learned by training two convolutional neural network …
Texture-Driven Image Clustering In Laser Powder Bed Fusion, Alexander H. Groeger
Texture-Driven Image Clustering In Laser Powder Bed Fusion, Alexander H. Groeger
Browse all Theses and Dissertations
The additive manufacturing (AM) field is striving to identify anomalies in laser powder bed fusion (LPBF) using multi-sensor in-process monitoring paired with machine learning (ML). In-process monitoring can reveal the presence of anomalies but creating a ML classifier requires labeled data. The present work approaches this problem by printing hundreds of Inconel-718 coupons with different processing parameters to capture a wide range of process monitoring imagery with multiple sensor types. Afterwards, the process monitoring images are encoded into feature vectors and clustered to isolate groups in each sensor modality. Four texture representations were learned by training two convolutional neural network …
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
Browse all Theses and Dissertations
G protein-coupled receptors (GPCRs) initiate intracellular signaling pathways via interaction with external stimuli. [1-5] Despite sharing similar structure and cellular mechanism, GPCRs participate in a uniquely broad range of physiological functions. [6] Due to the size and functional diversity of the GPCR family, these receptors are a major focus for pharmacological applications. [1,7] Current state-of-the-art pharmacology and toxicology research strategies rely on computational methods to efficiently design highly selective, low toxicity compounds. [9], [10] GPCR-targeting therapeutics are associated with low selectivity resulting in increased risk of adverse effects and toxicity. Psychoactive drugs that are active at Class A GPCRs used …
Utilizing Rotational Energy In Wind Turbine Blades With The Flywheel Mechanism And Predicting The Power Output By Neural Networking, Anamika Mishra
Utilizing Rotational Energy In Wind Turbine Blades With The Flywheel Mechanism And Predicting The Power Output By Neural Networking, Anamika Mishra
Browse all Theses and Dissertations
As we expand and innovate for better and safer living, there will always be a need for new energy sources. By replacing fossil fuels, renewable energy is becoming a viable option for primary power generation. That is why researchers are turning their attention to renewable energy sources and ways of making the most of them. WIND ENERGY is a promising renewable and clean energy source harvested from the wind which is plentiful on the planet. We already have the technology to harvest it, but the efficiency and power output are not optimal. In this thesis, to enhance the energy harvesting …
Evaluating The Performance Of Using Speaker Diarization For Speech Separation Of In-Person Role-Play Dialogues, Raveendra Medaramitta
Evaluating The Performance Of Using Speaker Diarization For Speech Separation Of In-Person Role-Play Dialogues, Raveendra Medaramitta
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Development of professional communication skills, such as motivational interviewing, often requires experiential learning through expert instructor-guided role-plays between the trainee and a standard patient/actor. Due to the growing demand for such skills in practices, e.g., for health care providers in the management of mental health challenges, chronic conditions, substance misuse disorders, etc., there is an urgent need to improve the efficacy and scalability of such role-play based experiential learning, which are often bottlenecked by the time-consuming performance assessment process. WSU is developing ReadMI (Real-time Assessment of Dialogue in Motivational Interviewing) to address this challenge, a mobile AI solution aiming to …
Mathematical Formula Recognition And Automatic Detection And Translation Of Algorithmic Components Into Stochastic Petri Nets In Scientific Documents, Elisavet Elli Kostalia
Mathematical Formula Recognition And Automatic Detection And Translation Of Algorithmic Components Into Stochastic Petri Nets In Scientific Documents, Elisavet Elli Kostalia
Browse all Theses and Dissertations
A great percentage of documents in scientific and engineering disciplines include mathematical formulas and/or algorithms. Exploring the mathematical formulas in the technical documents, we focused on the mathematical operations associations, their syntactical correctness, and the association of these components into attributed graphs and Stochastic Petri Nets (SPN). We also introduce a formal language to generate mathematical formulas and evaluate their syntactical correctness. The main contribution of this work focuses on the automatic segmentation of mathematical documents for the parsing and analysis of detected algorithmic components. To achieve this, we present a synergy of methods, such as string parsing according to …
Goal Management In Multi-Agent Systems, Venkatsampath Raja Gogineni
Goal Management In Multi-Agent Systems, Venkatsampath Raja Gogineni
Browse all Theses and Dissertations
Autonomous agents in a multi-agent system coordinate to achieve their goals. However, in a partially observable world, current multi-agent systems are often less effective in achieving their goals. In much part, this limitation is due to an agent's lack of reasoning about other agents and their mental states. Another factor is the agent's inability to share required knowledge with other agents and the lack of explanations in justifying the reasons behind the goal. This research addresses these problems by presenting a general approach for agent goal management in unexpected situations. In this approach, an agent applies three main concepts: goal …
Detecting Server-Side Web Applications With Unrestricted File Upload Vulnerabilities, Jin Huang
Detecting Server-Side Web Applications With Unrestricted File Upload Vulnerabilities, Jin Huang
Browse all Theses and Dissertations
Vulnerable web applications fundamentally undermine website security as they often expose critical infrastructures and sensitive information behind them to potential risks and threats. Web applications with unrestricted file upload vulnerabilities allow attackers to upload a file with malicious code, which can be later executed on the server by attackers to enable various attacks such as information exfiltration, spamming, phishing, and spreading malware. This dissertation presents our research in building two novel frameworks to detect server-side applications vulnerable to unrestricted file uploading attacks. We design the innovative model that holistically characterizes both data and control flows using a graphbased data structure. …
Bickel-Rosenblatt Test Based On Tilted Estimation For Autoregressive Models & Deep Merged Survival Analysis On Cancer Study Using Multiple Types Of Bioinformatic Data, Yan Su
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This dissertation includes two topics, Bickel-Rosenblatt test based on tilted density estimation for autoregressive models and deep merged survival analysis on cancer study using multiple types of bioinformatic data. In the first topic study, we consider the goodness of fit test the error density of linear and nonlinear autoregressive models using tilted kernel density estimation based on residuals. Bickel-Rosenblatt test statistic is based on the integrated square error of non-parametric error density estimation and a smoothed version of the parametric fit of the density. It is shown that the new type of Bickel-Rosenblatt test statistics behaves asymptotically the same as …
The Effect Of Winding Curvature And Core Permeability On The Power Losses And Leakage Inductance Of High-Frequency Transformers, Daniel J. Whitman
The Effect Of Winding Curvature And Core Permeability On The Power Losses And Leakage Inductance Of High-Frequency Transformers, Daniel J. Whitman
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At the frequencies used in switching dc-dc converters, the skin and proximity effects have a significant effect on both the losses and leakage inductance of the transformers used in these circuits. Analytical expressions that have been derived to calculate ac resistance and leakage inductance have primarily used a 1-D approximation. They also have used Cartesian coordinates or approximations that are equivalent to Cartesian coordinates, as well as usually assuming an ideal core of infinite permeability. The classical result in the case of the resistance/losses is Dowell’s equation, and there are analogous results for leakage inductance. This dissertation derives new equations …
Acute Oxygen-Sensing By The Carotid Bodies : The Thermal Microdomain Model, Ryan Joseph Rakoczy
Acute Oxygen-Sensing By The Carotid Bodies : The Thermal Microdomain Model, Ryan Joseph Rakoczy
Browse all Theses and Dissertations
The carotid bodies (CB) are peripheral chemoreceptors that detect changes in arterial oxygenation and, via afferent inputs to the brainstem, correct the pattern of breathing to restore blood gas homeostasis. Elucidating the “signal” that couples carotid body sensory type I cell (CBSC) hypoxic mitochondrial inhibition with potassium channel closure has proven to be an arduous task; to date, a multitude of oxygen-sensing chemotransduction mechanisms have been described and altercated (Varas, Wyatt & Buckler, 2007; Gao et al, 2017; Rakoczy & Wyatt, 2018). Herein, we provide preliminary evidence supporting a novel oxygen-sensing hypothesis suggesting CBSC hypoxic chemotransductive signaling may in part …
On The Characteristics Of A Data-Driven Multi-Scale Frame Convergence Algorithm, Beverly K. Grunden
On The Characteristics Of A Data-Driven Multi-Scale Frame Convergence Algorithm, Beverly K. Grunden
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In recent years, data-driven representation methods have been introduced to improve compressed sensing image reconstruction. This research explores a recently proposed algorithm that utilizes a data-driven multi-scale Parseval frame for image compression. Because a sensing matrix by itself may be insufficient to obtain a sparse representation for an image, a frame is combined with the compressed sensing matrix to increase flexibility in obtaining a sparse representation. The two-step algorithm optimizes the representation by alternating between adjusting a sparse coefficient vector and tuning a small filterbank which determines the frame. The structure of the frame and its relationship with the underlying …
The Family Of Bicircular Matroids Closed Under Duality, Vaidy Sivaraman, Daniel Slilaty
The Family Of Bicircular Matroids Closed Under Duality, Vaidy Sivaraman, Daniel Slilaty
Mathematics and Statistics Faculty Publications
We characterize the 3-connected members of the intersection of the class of bicircular and cobi- circular matroids. Aside from some exceptional matroids with rank and corank at most 5, this class consists of just the free swirls and their minors.
Board Of Trustees Meeting Minutes, December 11, 2020
Board Of Trustees Meeting Minutes, December 11, 2020
Board of Trustees Minutes
Minutes from the Wright State University Board of Trustees Meeting held on December 11, 2020
Faculty Senate Agenda And Minutes, December 7, 2020
Faculty Senate Agenda And Minutes, December 7, 2020
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on December 7, 2020
Endangered Bat Conservation In Wsu Woods, Olivia Norris, Josh Miller, Mitchell Link, Molly Nelson, Susan Fike
Endangered Bat Conservation In Wsu Woods, Olivia Norris, Josh Miller, Mitchell Link, Molly Nelson, Susan Fike
Runkle Woods Symposia
Our project focused on two endangered bat species in the Wright State Woods, the Indiana Bat and the Little Brown Bat. Our presentation covers topics such as general info, social behaviors, current threats, bat boxes, and conservation methods and goals.
Wright State Prairie Expansion, Kailani Sparrow, Reynold Kojo Papa Afful Ephraim
Wright State Prairie Expansion, Kailani Sparrow, Reynold Kojo Papa Afful Ephraim
Runkle Woods Symposia
Our plan is to convert the northern edge of Wright State Woods along Kaufman Ave. into a prairie to provide a habitat for pollinator species that are declining due to habitat loss and other factors and to provide a scenic and educational area
Your Mom Isn’T Here To Pick Up After You… In Your Dorm Or On The Rest Of Campus, Madison Glass, Jonathan Hume, Mckenzie Stefanoff, Brandon Butler
Your Mom Isn’T Here To Pick Up After You… In Your Dorm Or On The Rest Of Campus, Madison Glass, Jonathan Hume, Mckenzie Stefanoff, Brandon Butler
Runkle Woods Symposia
Research and the litter that plagues the Wright State University Woods and what we can do about it as a campus community.
Covid-19 And Mental Health/Substance Use Disorders On Reddit: A Longitudinal Study, Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
Covid-19 And Mental Health/Substance Use Disorders On Reddit: A Longitudinal Study, Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
Computer Science and Engineering Faculty Publications
COVID-19 pandemic has adversely and disproportionately impacted people suffering from mental health issues and substance use problems. This has been exacerbated by social isolation during the pandemic and the social stigma associated with mental health and substance use disorders, making people reluctant to share their struggles and seek help. Due to the anonymity and privacy they provide, social media emerged as a convenient medium for people to share their experiences about their day to day struggles. Reddit is a well-recognized social media platform that provides focused and structured forums called subreddits, that users subscribe to and discuss their experiences with …
The Guardian, Week Of November 16, 2020, Wright State Student Body
The Guardian, Week Of November 16, 2020, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the week of November 16, 2020. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Faculty Senate Agenda And Minutes, November 9, 2020
Faculty Senate Agenda And Minutes, November 9, 2020
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on November 9, 2020
The Guardian, Week Of November 9, 2020, Wright State Student Body
The Guardian, Week Of November 9, 2020, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the week of November 9, 2020. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Multi-Echo Quantitative Susceptibility Mapping For Strategically Acquired Gradient Echo (Stage) Imaging, Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, Sagar Buch, Mojtaba Jokar, Thomas Wischgoll, Nasser H. Kashou, Chunyan Zhang, Bo Wu, Jingliang Cheng, E. Mark Haacke
Multi-Echo Quantitative Susceptibility Mapping For Strategically Acquired Gradient Echo (Stage) Imaging, Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, Sagar Buch, Mojtaba Jokar, Thomas Wischgoll, Nasser H. Kashou, Chunyan Zhang, Bo Wu, Jingliang Cheng, E. Mark Haacke
Computer Science and Engineering Faculty Publications
Purpose: To develop a method to reconstruct quantitative susceptibility mapping (QSM) from multi-echo, multi-flip angle data collected using strategically acquired gradient echo (STAGE) imaging. Methods: The proposed QSM reconstruction algorithm, referred to as “structurally constrained Susceptibility Weighted Imaging and Mapping” scSWIM, performs an ℓ1 and ℓ2 regularization-based reconstruction in a single step. The unique contrast of the T1 weighted enhanced (T1WE) image derived from STAGE imaging was used to extract reliable geometry constraints to protect the basal ganglia from over-smoothing. The multi-echo multi-flip angle data were used for improving the contrast-to-noise ratio in QSM through a weighted averaging scheme. The …
12 Tips For Implementing Peer Instruction In Medical Education, Dean Parmelee, Mary Jo Trout, Irina Overman, Michael P. Matott
12 Tips For Implementing Peer Instruction In Medical Education, Dean Parmelee, Mary Jo Trout, Irina Overman, Michael P. Matott
Medical Education Faculty Publications
Peer Instruction (PI) is a vibrant instructional strategy, used successfully for over two decades in undergraduate physics and mathematics courses. It has had limited use and few publications in medical education. This 12 TIPS provides a focused review on the evidence supporting its use in higher education and rationale for its wider adoption in medical education. The authors detail important steps for its implementation with large classes. Based on several years of experience with PI in a US allopathic medical school, they feel that PI attends to core principles from the science of learning and provides students and faculty with …
2020-2021 Common Data Set - Wright State University Lake Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
2020-2021 Common Data Set - Wright State University Lake Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
Common Data Set
The 2020-2021 Common Data Set of Wright State University Lake Campus from the Princeton Review. It includes data on admissions, student enrollment, faculty, class size, financial aid and other measures, using standard definitions that aid comparisons between schools.
2020-2021 Common Data Set - Wright State University Dayton Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
2020-2021 Common Data Set - Wright State University Dayton Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
Common Data Set
The 2020-2021 Common Data Set of Wright State University Dayton Campus from the Princeton Review. It includes data on admissions, student enrollment, faculty, class size, financial aid and other measures, using standard definitions that aid comparisons between schools.
Faculty Senate Agenda And Minutes, October 12, 2020
Faculty Senate Agenda And Minutes, October 12, 2020
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on October 12, 2020
Undergraduate And Graduate Course Descriptions, 2020 Fall, Wright State University
Undergraduate And Graduate Course Descriptions, 2020 Fall, Wright State University
Course Descriptions
Wright State University undergraduate and graduate course descriptions from Fall 2020.
Wright State University Magazine, Fall 2020, Office Of Marketing, Wright State University, Alumni Association, Wright State University, Wright State University Foundation
Wright State University Magazine, Fall 2020, Office Of Marketing, Wright State University, Alumni Association, Wright State University, Wright State University Foundation
Wright State University Magazine
48-page issue of the Wright State Magazine. This magazine is published twice a year and focuses on news related to Wright State alumni, faculty, and friends of the university.