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It Is Time To End Ability Grouping And "The Soft Bigotry Of Low Expectations" It Imposes On Minority Students, Holly Fudge Mar 2021

It Is Time To End Ability Grouping And "The Soft Bigotry Of Low Expectations" It Imposes On Minority Students, Holly Fudge

University of Dayton Law Review

No abstract provided.


Deep Learning For Anisoplanatic Optical Turbulence Mitigation In Long-Range Imaging, Matthew A. Hoffmire, Russell C. Hardie, Michael A. Rucci, Richard Van Hook, Barry K. Karch Mar 2021

Deep Learning For Anisoplanatic Optical Turbulence Mitigation In Long-Range Imaging, Matthew A. Hoffmire, Russell C. Hardie, Michael A. Rucci, Richard Van Hook, Barry K. Karch

Electrical and Computer Engineering Faculty Publications

We present a deep learning approach for restoring images degraded by atmospheric optical turbulence. We consider the case of terrestrial imaging over long ranges with a wide field-of-view. This produces an anisoplanatic imaging scenario where turbulence warping and blurring vary spatially across the image. The proposed turbulence mitigation (TM) method assumes that a sequence of short-exposure images is acquired. A block matching (BM) registration algorithm is applied to the observed frames for dewarping, and the resulting images are averaged. A convolutional neural network (CNN) is then employed to perform spatially adaptive restoration. We refer to the proposed TM algorithm as …


Ud In The News Feb. 19-26, University Of Dayton Feb 2021

Ud In The News Feb. 19-26, University Of Dayton

News Releases

Provost Paul Benson contributed an op-ed to Inside Higher Ed highlighting the UD Sinclair Academy. Local media reported on the upcoming grand opening for The Hub Powered by PNC Bank at the Dayton Arcade, and UD research that is helping power the Mars rover Perseverance.


Natural Selection: The Eschatological Role Of Nature In 1 Enoch And Snowpiercer, Emily Georgopoulos Feb 2021

Natural Selection: The Eschatological Role Of Nature In 1 Enoch And Snowpiercer, Emily Georgopoulos

Father Jack McGrath, S.M., Research Award Presentations

Emily Georgopoulos is a recipient of the Father Jack McGrath, S.M., Award for Research in Catholic Intellectual Traditions.


From Dayton To Mars: University Of Dayton Researchers Helped Nasa Plan Perseverance Mission, University Of Dayton Feb 2021

From Dayton To Mars: University Of Dayton Researchers Helped Nasa Plan Perseverance Mission, University Of Dayton

News Releases

As the Perseverance rover descended to the surface of Mars just before 4 p.m. Feb. 18, University of Dayton Research Institute scientist Chad Barklay closely watched NASA’s live feed of its Joint Propulsion Lab control room, listening for touchdown confirmation.


They Do An Ice Job, Jerry Zezima Feb 2021

They Do An Ice Job, Jerry Zezima

Erma Bombeck Writers' Workshop Blog

When it comes to shoveling snow, I am a wuss, which stands for "wait until spring starts."


Why Toast Is Overrated, Curt Macdougall Feb 2021

Why Toast Is Overrated, Curt Macdougall

Erma Bombeck Writers' Workshop Blog

As near as we can figure, it dates from 1999 — a gift to christen the newly renovated kitchen at our previous house. It was ever the cheerful toaster, like a ray of KitchenAid sunshine in its 'Majestic Yellow' coat. With a somewhat retro appearance, it has browned innumerable loaves of bread and untold truckloads of pop-tarts.


Ud In The News Jan. 30-Feb. 5, University Of Dayton Feb 2021

Ud In The News Jan. 30-Feb. 5, University Of Dayton

News Releases

Human Rights Center Executive Director Shelley Inglis was a guest of WPFW-FM in Washington, D.C., and Erica Goldberg in the School of Law wrote a piece for The Conversation about First Amendment protections from claims of market manipulation of GameStop stock. OhioENGINEER also featured the School of Engineering on the cover of its year- end issue for high school students.


University Of Dayton Magazine, Spring 2021, University Of Dayton Feb 2021

University Of Dayton Magazine, Spring 2021, University Of Dayton

University of Dayton Alumni Publications

The University of Dayton Magazine is published quarterly by the Office of University Marketing and Communications for alumni, parents, students, faculty/staff, trustees and other friends of UD.


Olympic Games Event Recognition Via Transfer Learning With Photobombing Guided Data Augmentation, Yousef I. Mohamad, Samah S. Baraheem, Tam Van Nguyen Feb 2021

Olympic Games Event Recognition Via Transfer Learning With Photobombing Guided Data Augmentation, Yousef I. Mohamad, Samah S. Baraheem, Tam Van Nguyen

Computer Science Faculty Publications

Automatic event recognition in sports photos is both an interesting and valuable research topic in the field of computer vision and deep learning. With the rapid increase and the explosive spread of data, which is being captured momentarily, the need for fast and precise access to the right information has become a challenging task with considerable importance for multiple practical applications, i.e., sports image and video search, sport data analysis, healthcare monitoring applications, monitoring and surveillance systems for indoor and outdoor activities, and video captioning. In this paper, we evaluate different deep learning models in recognizing and interpreting the sport …


Minutes, January 2021, University Of Dayton. College Of Arts And Sciences Jan 2021

Minutes, January 2021, University Of Dayton. College Of Arts And Sciences

Documents of the College of Arts and Sciences Academic Affairs Committee

Minutes from College of Arts and Sciences Academic Affairs Committee


Thriving Instead Of Surviving: The Role Of The Reasoned Action Model In Assessing The Basic Course, Michael E. Burns, Kristen L. Farris, Mark Paz, Sean Dyhre Jan 2021

Thriving Instead Of Surviving: The Role Of The Reasoned Action Model In Assessing The Basic Course, Michael E. Burns, Kristen L. Farris, Mark Paz, Sean Dyhre

Basic Communication Course Annual

The current study investigates the use of the reasoned action model (Fishbein & Ajzen, 2010) as an assessment tool for the basic communication course. Specifically, this study examines how attitude towards behaviors, subjective norms, and perceived behavioral control influence students’ behavioral intentions to use communication behaviors taught in the basic course outside of class. In addition to the stated variables in the reasoned action model, this study also examines how knowledge gain influences behavioral intention. Data was collected from 2,228 students enrolled in a basic communication course at a large southwestern university, and a random sample of 666 students was …


Student Perceptions Of Value: A Qualitative Study Of Student Experiences In The Communication Center, Briana M. Stewart, Andie Malterud, Heidi Y. Lawrence, Melissa A. Broeckelman-Post Jan 2021

Student Perceptions Of Value: A Qualitative Study Of Student Experiences In The Communication Center, Briana M. Stewart, Andie Malterud, Heidi Y. Lawrence, Melissa A. Broeckelman-Post

Basic Communication Course Annual

The goal of this study was to understand student experiences in and perceptions of a new communication center. Researchers conducted 22 semi-structured qualitative interviews with students who visited the communication center and conducted a thematic analysis of the interview transcripts. Overall, the findings suggest that students had positive experiences and indicated some areas for future development. The primary value of communication center lies in the knowledge and perceived credibility of the coaches. The communication center also serves as a unique site for addressing communication apprehension and helping students transfer communication skills to other contexts. To continue to develop, additional resources …


Critical Pedagogy Of Preparation: Structuring Best Practices For Introductory Course Relevance, Daniel M. Chick Jan 2021

Critical Pedagogy Of Preparation: Structuring Best Practices For Introductory Course Relevance, Daniel M. Chick

Basic Communication Course Annual

In this article, I argue that the public speaking introductory course should follow a pedagogy of preparation. A pedagogy of preparation develops within students a toolkit that has become increasingly necessary for them to become active, compassionate citizens, and to understand what social pressures impact that perception, through the moral and ethical framework of critical communication pedagogy (CCP). To make this case, I propose a theory which structures and legitimizes many existing introductory course practices and, in so doing, articulate a clear narrative of the introductory course’s relevance to students, faculty, and the university. I also outline three goals of …


Ud In The News Jan. 15-22, University Of Dayton Jan 2021

Ud In The News Jan. 15-22, University Of Dayton

News Releases

Dayton media covered the University's commemoration of the Rev. Dr. Martin Luther King and The Conversation highlighted the expertise of two faculty members. Several faculty experts lent their expertise to local and regional news outlets to explain political and legal issues.


It's A Mad, Mad, Mad Mad Tooth, Jerry Zezima Jan 2021

It's A Mad, Mad, Mad Mad Tooth, Jerry Zezima

Erma Bombeck Writers' Workshop Blog

When it comes to mad scientists, there was no one madder than the Invisible Man, whose Hollywood smile couldn't be seen because, of course, he was wearing invisible braces.


Plasmon-Driven Nanowire Actuators For On-Chip Manipulation, Shuangyi Linghu, Zhaoqi Gu, Jinsheng Lu, Wei Fang, Zongyin Yang, Huakang Yu, Zhiyuan Li, Runlin Zhu, Jian Peng, Qiwen Zhan, Songlin Zhuang1, Min Gu, Fuxing Gu Jan 2021

Plasmon-Driven Nanowire Actuators For On-Chip Manipulation, Shuangyi Linghu, Zhaoqi Gu, Jinsheng Lu, Wei Fang, Zongyin Yang, Huakang Yu, Zhiyuan Li, Runlin Zhu, Jian Peng, Qiwen Zhan, Songlin Zhuang1, Min Gu, Fuxing Gu

Electro-Optics and Photonics Faculty Publications

Chemically synthesized metal nanowires are promising building blocks for next-generation photonic integrated circuits, but technological implementation in monolithic integration will be severely hampered by the lack of controllable and precise manipulation approaches, due to the strong adhesion of nanowires to substrates in non-liquid environments. Here, we demonstrate this obstacle can be removed by our proposed earthworm-like peristaltic crawling motion mechanism, based on the synergistic expansion, friction, and contraction in plasmon-driven metal nanowires in non-liquid environments. The evanescently excited sur- face plasmon greatly enhances the heating effect in metal nanowires, thereby generating surface acoustic waves to drive the nanowires crawling along …


We Owe It To Her, Lauren Durham Jan 2021

We Owe It To Her, Lauren Durham

Materials from the University of Dayton Magazine Website

She believed programs could change society. 45 years later, Carol Shaw can see the change she's made in the faces of every female engineering student at UD.


Ud In The News Dec. 18-Jan. 8, University Of Dayton Jan 2021

Ud In The News Dec. 18-Jan. 8, University Of Dayton

News Releases

Faculty and staff finished 2020 and rang in 2021 continuing to offer their expertise and thoughts on the issues of the day.


From Software To Surfing: An Advocate For Dayton, Lauren Durham Jan 2021

From Software To Surfing: An Advocate For Dayton, Lauren Durham

Materials from the University of Dayton Magazine Website

His software business keeps growing — so large, he's onto his third location in five years. Jorge Sánchez ’06 puts the same passion into serving and supporting the city he loves.


Daytonian 2021, University Of Dayton Jan 2021

Daytonian 2021, University Of Dayton

University Yearbooks

University of Dayton student yearbook. Early yearbooks cover St. Mary's Institute. Annual publication of the Daytonian began in 1923; it was not published in 1929, 1932-1934 and 1944. Short volumes highlighting the graduating class were published in 1930, 1931 and 1945 under different titles.


Dales Objects: A Large Scale Benchmark Dataset For Instance Segmentation In Aerial Lidar, Nina M. Singer, Vijayan K. Asari Jan 2021

Dales Objects: A Large Scale Benchmark Dataset For Instance Segmentation In Aerial Lidar, Nina M. Singer, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

We present DALES Objects, a large-scale instance segmentation benchmark dataset for aerial lidar. DALES Objects contains close to half a billion hand-labeled points, including semantic and instance segmentation labels. DALES Objects is an extension of the DALES (Varney et al., 2020) dataset, adding additional intensity and instance segmentation annotation. This paper provides an overview of the data collection, preprocessing, hand-labeling strategy, and final data format. We propose relevant evaluation metrics and provide insights into potential challenges when evaluating this benchmark dataset. Finally, we provide information about how researchers can access the dataset for their use at go.udayton.edu/dales3d.


Tunable Optical Filter Using Phase Change Materials For Smart Ir Night Vision Applications, Remona Heenkenda, Keigo Hirakawa, Andrew Sarangan Jan 2021

Tunable Optical Filter Using Phase Change Materials For Smart Ir Night Vision Applications, Remona Heenkenda, Keigo Hirakawa, Andrew Sarangan

Electro-Optics and Photonics Faculty Publications

In this paper we present a tunable filter using Ge2Sb2Se4Te1 (GSST) phase change material. The design principle of the filter is based on a metal-insulator-metal (MIM) cavity operating in the reflection mode. This is intended for night vision applications that utilize 850nm as the illumination source. The filter allows us to selectively reject the 850nm band in one state. This is illustrated through several daytime and nighttime imaging applications.


R2u3d: Recurrent Residual 3d U-Net For Lung Segmentation, Dhaval D. Kadia, Md Zahangir Alom, Ranga Burada, Tam Nguyen, Vijayan K. Asari Jan 2021

R2u3d: Recurrent Residual 3d U-Net For Lung Segmentation, Dhaval D. Kadia, Md Zahangir Alom, Ranga Burada, Tam Nguyen, Vijayan K. Asari

Computer Science Faculty Publications

3D Lung segmentation is essential since it processes the volumetric information of the lungs, removes the unnecessary areas of the scan, and segments the actual area of the lungs in a 3D volume. Recently, the deep learning model, such as U-Net outperforms other network architectures for biomedical image segmentation. In this paper, we propose a novel model, namely, Recurrent Residual 3D U-Net (R(2)U3D), for the 3D lung segmentation task. In particular, the proposed model integrates 3D convolution into the Recurrent Residual Neural Network based on U-Net. It helps learn spatial dependencies in 3D and increases the propagation of 3D volumetric …


Building Emotionally Resilient Schools And Educators During Crises, Corinne Brion Jan 2021

Building Emotionally Resilient Schools And Educators During Crises, Corinne Brion

Educational Leadership Faculty Publications

Teaching is one of the most stressful occupations in the U.S (Gallup, 2014). Stress affects teachers’ health and well-being, job satisfaction, job turnover, and student outcomes (Greenberg et al., 2016). Possessing and using social and emotional skills is necessary to regulate stress, maintain healthy personal and professional lives, and thrive as teachers and leaders (Jennings & Greenberg, 2009; Jennings, 2015). Social Emotional Learning (SEL) is key to human development because it is “the process through which all young people and adults acquire and apply the knowledge, skills, and attitudes to develop healthy identities, manage emotions and achieve personal and collective …


Covid-19 Crisis Management Strategies And Challenges Of Educational Leaders In America, Corinne Brion, Bilgen Kiral Jan 2021

Covid-19 Crisis Management Strategies And Challenges Of Educational Leaders In America, Corinne Brion, Bilgen Kiral

Educational Leadership Faculty Publications

This research was conducted to understand how 30 American school leaders managed during the COVID-19 pandemic. This qualitative study used a case study approach. The researchers utilized a convenience and snowball sampling to conduct Zoom interviews in May 2020. The research findings revealed that leaders encountered numerous difficulties related to having to lead during two crises (a global pandemic and social-racial issues). Findings also indicated that leaders altered their style and used many strategies to lead in times of crises: They emphasized communication, became stress managers and cheer leaders, focused on developing a sense of belonging among teachers and students …


Writing Consultants At The University Of Dayton: A Collaborative Cross-Training Approach, Heidi Gauder Jan 2021

Writing Consultants At The University Of Dayton: A Collaborative Cross-Training Approach, Heidi Gauder

Books and Book Chapters by University of Dayton Faculty

The creation of a new learning commons at the University of Dayton Roesch Library not only highlighted the research and writing support available to students, but it also led to an entirely new library-led cross-training program for writing center student employees. Prior to the new learning commons, the writing center occupied spaces on the upper floors of the library, and the staff of the two units enjoyed a friendly, albeit distant, relationship for many years. The new learning commons, named the Knowledge Hub, brought the library research team directly together with the writing center, both in terms of proximity and …


Fifnet: A Convolutional Neural Network For Motion-Based Multiframe Super-Resolution Using Fusion Of Interpolated Frames, Hamed Elwarfalli, Russell C. Hardie Jan 2021

Fifnet: A Convolutional Neural Network For Motion-Based Multiframe Super-Resolution Using Fusion Of Interpolated Frames, Hamed Elwarfalli, Russell C. Hardie

Electrical and Computer Engineering Faculty Publications

We present a novel motion-based multiframe image super-resolution (SR) algorithm using a convolutional neural network (CNN) that fuses multiple interpolated input frames to produce an SR output. We refer to the proposed CNN and associated preprocessing as the Fusion of Interpolated Frames Network (FIFNET). We believe this is the first such CNN approach in the literature to perform motion-based multiframe SR by fusing multiple input frames in a single network. We study the FIFNET using translational interframe motion with both fixed and random frame shifts. The input to the network is a sequence of interpolated and aligned frames. One key …


Using Smart-Wifi Thermostat Data To Improve Prediction Of Residential Energy Consumption And Estimation Of Savings, Abdulrahman Alanezi, Kevin P. Hallinan, Rodwan Elhashmi Jan 2021

Using Smart-Wifi Thermostat Data To Improve Prediction Of Residential Energy Consumption And Estimation Of Savings, Abdulrahman Alanezi, Kevin P. Hallinan, Rodwan Elhashmi

Mechanical and Aerospace Engineering Faculty Publications

Energy savings based upon use of smart WiFi thermostats ranging from 10 to 15% have been documented, as new features such as geofencing have been added. Here, a new benefit of smart WiFi thermostats is identified and investigated; namely, as a tool to improve the estimation accuracy of residential energy consumption and, as a result, estimation of energy savings from energy system upgrades, when only monthly energy consumption is metered. This is made possible from the higher sampling frequency of smart WiFi thermostats. In this study, collected smart WiFi data are combined with outdoor temperature data and known residential geometrical …


Ieee Access Special Section Editorial: Trends And Advances In Bio-Inspired Image-Based Deep Learning Methodologies And Applications, Peter Peer, Carlos M. Travieso-Gonzalez, Vijayan K. Asari, Malay Kishore Dutta Jan 2021

Ieee Access Special Section Editorial: Trends And Advances In Bio-Inspired Image-Based Deep Learning Methodologies And Applications, Peter Peer, Carlos M. Travieso-Gonzalez, Vijayan K. Asari, Malay Kishore Dutta

Electrical and Computer Engineering Faculty Publications

Many of the technological advances we enjoy today have been inspired by biological systems due to their ease of operation and outstanding efficiency. Designing technological solutions based on biological inspiration has become a cornerstone of research in a variety of areas ranging from control theory and optimization to computer vision, machine learning, and artificial intelligence. Especially in the latter few areas, biologically relevant solutions are becoming increasingly important as we look for new ways to make artificial systems more efficient, intelligent, and overall effective.