Digital Commons Network^™

In The Swing Of Things, Larry Burgess

Materials from the University of Dayton Magazine Website

Swing away

Birthday Surprise, Gita Balakrishnan

Materials from the University of Dayton Magazine Website

The tale of a bridge, a cherrybomb and a whole lot of Beers.

Ud In The News Jan. 17-24, University Of Dayton

News Releases

Paul Morrow, the John M. Meagher Human Rights Fellow in the Human Rights Center, contributed 'Is it ethical to show Holocaust images?' to The Conversation. Historian Julius Amin was a guest of Voice of America Africa to discuss 'Freedom struggle in America and Africa were entwined in Dr. King's view

Ud In The News Jan. 11-17, University Of Dayton

News Releases

BBC News tapped juries expert Thaddeus Hoffmeister to explain how lawyers will try to seat a jury in the Harvey Weinstein case and the Dayton Daily News and Dayton Business Journal highlighted the University's growing research profile and commitment to diversity.

Udri Tour Highlights Technical, Workforce Innovation, Michelle Tedford

Materials from the University of Dayton Magazine Website

Lt. Gov. Jon Husted ’89 tours UD Research Institute, taps the University as an innovation leader for Ohio

Ud In The News Jan. 4-10, University Of Dayton

News Releases

University President Eric F. Spina discussed how the University and the State of Ohio are collaborating to help fill the need for computer scientists in a Dayton Daily News opinion piece, "Ohio reprograms its future.

Crèches, Career Camp ... And Friends To Write With, Maureen Schlangen

University Libraries Blog Archive

Students weren't back yet, and classes hadn't begun, but the library was already abuzz with activity the first week of January.

Ohio Reprograms Its Future, Eric F. Spina

President's Blog: From the Heart

It’s no secret that some Ohio companies outsource programming and software engineering to other time zones around the world. That’s largely because they can’t find enough highly skilled professionals here.

Seeing The Global Physical Context Of Wholeness, Hamid Rafizadeh

Learning Teaching Forum

Kennedy Union 311

The pursuit of the whole person through models like 3H (head, heart, hands) my miss a critical physical aspect within which the wholeness develops and exists. One such aspect originates at the earth’s two versions. Humankind has a good understanding of one version and little if any of the second. Such lack of knowledge would adversely affect the development and maintenance of human wholeness. This proposal considers a workshop at the 2020 Learning and Teaching Forum to address this knowledge deficiency in University of Dayton’s community through participative knowledge processing and systems thinking.

‘At The Manger’: Ready For Its Close-Up, Sarah B. Cahalan

Marian Library Blog Archive

Marian Library’s acclaimed Nativity collection captures the attention of ‘CBS Sunday Morning’ and its nationwide audience.

Can Course Format Drive Learning? Face-To-Face And Lecture-Lab Models Of The Fundamentals Of Communication Course, Melissa A. Broeckelman-Post, Andie Malterud, Anthony Arciero, Katherine E. Hyatt Hawkins

Basic Communication Course Annual

Combining traditional classroom instruction and online instruction, or hybrid/blended learning, has emerged as a popular option to mitigate rising enrollments and non-traditional student needs while maintaining the known advantages to the face-to-face learning format. We evaluated the effectiveness of a Fundamentals of Communication course (also known as the “hybrid” course) taught in the traditional face-to-face format and in the hybrid/blended learning format, which included the equivalent of one credit taught face-to-face and two credits taught online (graded together as one course).

Students in the blended format had stronger performances in two areas of their speeches (introduction and overall impression), had …

Using Virtual Reality For Speech Rehearsals: An Innovative Instructor Approach To Enhance Student Public Speaking Efficacy, Brandi N. Frisby, Renee Kaufmann, Jessalyn I. Vallade, T. Kody Frey, Joe C. Martin

Basic Communication Course Annual

Basic communication courses (BCCs) are evolving, and technology is a driver of this change. Guided by self-efficacy theory, this study examined the use of virtual reality speaking rehearsals as one technology that instructors can adopt to enhance students’ public speaking efficacy. Students (N = 32) in this study practiced their final informative speeches in virtual reality 360-degree videos. They perceived their efficacy was enhanced in five ways including preparedness, realism, self-awareness, feedback, and comfort level. Conversely, efficacy inhibitors included the lack of presentational aids, technology issues, and lack of audience realism. The results are used to provide practical advice …

Where Do You Turn? Student-Identified Resources In The Basic Course Experience, Sources Of Information, Feedback, And Help-Seeking Behaviors, Ashley Jones-Bodie, Lindsey B. Anderson, Jennifer Hall

Basic Communication Course Annual

This study explored the formal and informal resources students enrolled in a basic communication course use to gather information and receive feedback about their course experience, including presentations and work in the class. To do so, an online survey was completed by 393 students at three universities. The data were analyzed thematically using an iterative process facilitated through NVivo coding software. This process not only allowed for a descriptive summary of the students’ responses and the creation of a typology of resources, but also revealed four emergent themes related to student motivations to seek out and use sources of information/feedback: …

Now Online: Volume 32 Of 'Basic Communication Course Annual', Joseph P. Mazer

University Libraries Blog Archive

Articles present the latest research in the theory, practice and technology of teaching public speaking and basic communications.

A Review Of A Collaborative Online International Learning, Philip Appiah-Kubi, Ebenezer Annan

Engineering Management and Systems Faculty Publications

Globalization has exacerbated the need for engineers who are capable of working in a cross-cultural environment. Multinational companies continuously seek for engineers who are interculturally competent and capable of conducting business successfully in a cross-cultural environment. However, the skills required to be successful in a multicultural environment are difficult to be taught in the traditional classroom. One of the most effective approaches to acquiring intercultural competency skills is through experiential learning. It is, therefore, not surprising that most colleges all over the world are devoting resources towards the internationalization of their classrooms and the campus community. This ensures that students …

Ensemble Lung Segmentation System Using Deep Neural Networks, Redha A. Ali, Russell C. Hardie, Hussin K. Ragb

Electrical and Computer Engineering Faculty Publications

Lung segmentation is a significant step in developing computer-aided diagnosis (CAD) using Chest Radiographs (CRs). CRs are used for diagnosis of the 2019 novel coronavirus disease (COVID-19), lung cancer, tuberculosis, and pneumonia. Hence, developing a Computer-Aided Detection (CAD) system would provide a second opinion to help radiologists in the reading process, increase objectivity, and reduce the workload. In this paper, we present the implementation of our ensemble deep learning model for lung segmentation. This model is based on the original DeepLabV3+, which is the extended model of DeepLabV3. Our model utilizes various architectures as a backbone of DeepLabV3+, such as …

Doc 2020-07 Master Of Construction Engineering And Management, University Of Dayton. Department Of Civil And Environmental Engineering And Engineering Mechanics

Senate Documents

Legislative Authority


REFERENCE: DOC 2019-03 Actions Pertaining to Degree Programs and Academic Departments (Revised)

Corrections To ‘‘Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping’’, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel

Electrical and Computer Engineering Faculty Publications

In the above article [1], Figure 2 was incorrect. Unfortunately, we mixed the color label of "CONV $\to $ BN $\to $ ReLu" and "Unpooling" in the CNN structure section of Figure 2. The color label of "CONV $\to $ BN $\to $ ReLu" should be orange while the color label of "Unpooling" should be green. Also, the word "Decoder" is misspelled. That same figure with the same error is also used for the graphic abstract. The corrected figure is given here. None of the sections in the figure is modified. The only change is in the color label of …

Honorslink, Issue 2020.1, University Of Dayton

HonorsLINK Newsletter

News and notes from the University of Dayton Honors Program. Articles include "Honors Program Celebrates 40 Years," and alumni reflections.

Patch-Based Gaussian Mixture Model For Scene Motion Detection In The Presence Of Atmospheric Optical Turbulence, Richard L. Van Hook, Russell C. Hardie

Electrical and Computer Engineering Faculty Publications

In long-range imaging regimes, atmospheric turbulence degrades image quality. In addition to blurring, the turbulence causes geometric distortion effects that introduce apparent motion in acquired video. This is problematic for image processing tasks, including image enhancement and restoration (e.g., superresolution) and aided target recognition (e.g., vehicle trackers). To mitigate these warping effects from turbulence, it is necessary to distinguish between actual in-scene motion and apparent motion caused by atmospheric turbulence. Previously, the current authors generated a synthetic video by injecting moving objects into a static scene and then applying a well-validated anisoplanatic atmospheric optical turbulence simulator. With known per-pixel truth …

Nnv: The Neural Network Verification Tool For Deep Neural Networks And Learning-Enabled Cyber-Physical Systems, Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson

Computer Science Faculty Publications

This paper presents the Neural Network Verification (NNV) software tool, a set-based verification framework for deep neural networks (DNNs) and learning-enabled cyber-physical systems (CPS). The crux of NNV is a collection of reachability algorithms that make use of a variety of set representations, such as polyhedra, star sets, zonotopes, and abstract-domain representations. NNV supports both exact (sound and complete) and over-approximate (sound) reachability algorithms for verifying safety and robustness properties of feed-forward neural networks (FFNNs) with various activation functions. For learning-enabled CPS, such as closed-loop control systems incorporating neural networks, NNV provides exact and over-approximate reachability analysis schemes for linear …

Stochastic Technique For Solutions Of Non-Linear Fin Equation Arising In Thermal Equilibrium Model, Iftikhar Ahmad, Hina Qureshi, Muhammad Bilal, Muhammad Usman

Mathematics Faculty Publications

In this study, a stochastic numerical technique is used to investigate the numerical solution of heat transfer temperature distribution system using feed forward artificial neural networks. Mathematical model of fin equation is formulated with the help of artificial neural networks. The effect of the heat on a rectangular fin with thermal conductivity and temperature de-pendent internal heat generation is calculated through neural networks optimization with optimizers like active set technique, interior point technique, pattern search, genetic algorithm and a hybrid approach of pattern search - interior point technique, genetic algorithm - active set technique, genetic algorithm - interior point technique, …

Big Data, Little Privacy: Protecting Consumers' Data While Promoting Economic Growth, Mary Kraft

University of Dayton Law Review

No abstract provided.

Principals' Perspectives Of Mindfulness For Leadership And Equity, Corinne Brion, Gina L. Gullo

Educational Leadership Faculty Publications

Purpose: The current study sought to explore principals’ perspectives of definitions and uses of mindfulness in their leadership and equity practices.

Design: The primary researcher observed and interviewed eleven school principals using qualitative methods during the course of this study.

Findings: Four themes developed from principals’ definitions of mindfulness: (1) awareness and attention, (2) present centeredness, (3) modeling listening and respect, and (4) decision-making processes. The principals’ actions also presented ethical mindedness in their equity pursuits and reflection in their general leadership practices, despite establishing the presence of a stigma around mindfulness.

Research limitations/implications: Beyond the limitations of qualitative …

Program: 2019 Undergraduate Mathematics Day, University Of Dayton. Department Of Mathematics

Undergraduate Mathematics Day: Past Content

Conference program

"If You're Ugly, The Blackpill Is Born With You": Sexual Hierarchies, Identity Construction, And Masculinity On An Incel Forum Board, Josh Segalewitz

Joyce Durham Essay Contest in Women's and Gender Studies

The manosphere is one new digital space where antifeminists and men's rights activists interact outside of their traditional social networks. Incels, short for involuntary celibates, exist in this space and have been labeled as extreme misogynists, white supremacists, and domestic terrorists. This project aims to understand discussions happening among incels and situate them within social understandings of masculinity. I downloaded 4,532 threads posted on incels.is and randomly sampled 100 for analysis. Through grounded coding methodology, I identified the importance of making meaning of manhood on this site, particularly with respect to sexuality. Further, I found that incel ideology rests on …

Ancient Mesopotamian Music, The Politics Of Reconstruction, And Extreme Early Music, Samuel N. Dorf

Books and Book Chapters by University of Dayton Faculty

I write this piece primarily as a musicologist and amateur early music practitioner (viola da gamba player) who tries to understand the ways twentieth- and twenty-first century musicians and scholars have imagined and performed ancient music and dance. This essay emerged from my book project Performing Antiquity: Ancient Greek Music and Dance from Paris to Delphi, 1890-1935 and brings my training as a historical musicologist and dance historian to bear on issues typically of concern to archaeologists, classicists, and linguists.

While working on that book, I kept running across a number of individuals working now who are deeply engaged in …

Ev Charging Behavior Analysis Using Hybrid Intelligence For 5g Smart Grid, Yi Shen, Wei Fang, Feng Ye, Michel Kadoch

Electrical and Computer Engineering Faculty Publications

With the development of the Internet of Things (IoT) and the widespread use of electric vehicles (EV), vehicle-to-grid (V2G) has sparked considerable discussion as an energy-management technology. Due to the inherently high maneuverability of EVs, V2G systems must provide on-demand service for EVs. Therefore, in this work, we propose a hybrid computing architecture based on fog and cloud with applications in 5G-based V2G networks. This architecture allows the bi-directional flow of power and information between schedulable EVs and smart grids (SGs) to improve the quality of service and cost-effectiveness of energy service providers. However, it is very important to select …

Two-Stage Deep Learning Architecture For Pneumonia Detection And Its Diagnosis In Chest Radiographs, Barath Narayanan, Venkata Salini Priyamvada Davuluru, Russell C. Hardie

Electrical and Computer Engineering Faculty Publications

Approximately two million pediatric deaths occur every year due to Pneumonia. Detection and diagnosis of Pneumonia plays an important role in reducing these deaths. Chest radiography is one of the most commonly used modalities to detect pneumonia. In this paper, we propose a novel two-stage deep learning architecture to detect pneumonia and classify its type in chest radiographs. This architecture contains one network to classify images as either normal or pneumonic, and another deep learning network to classify the type as either bacterial or viral. In this paper, we study and compare the performance of various stage one networks such …

Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel

Electrical and Computer Engineering Faculty Publications

Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however, is notoriously difficult using conventional geospatial technology methods. Therefore, in this research for automated DCG mapping, we evaluate the utility of a convolutional neural network (CNN), which is a deep learning feed-forward neural network. The CNN inputs include Landsat satellite images, an Advanced Land Observation Satellite (ALOS) digital elevation model (DEM) and DEM-derived land-surface parameters. Our CNN based deep-learning approach named GlacierNet was designed by appropriately choosing the type, number …