Digital Commons Network^™

Caresource Gift To Ud Sinclair Academy Scholarship Fund Honors Retired Executive, University Of Dayton

News Releases

CareSource has given the initial $50,000 Dan McCabe Community Grant Award to a scholarship fund at the University of Dayton that supports UD Sinclair Academy students.

Setting The Tone, Katy Kelly

University Libraries Blog Archive

Art imprints a sense of belonging in Roesch Library.

Minutes, February 2022, 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

Ud In The News Feb. 11-18, University Of Dayton

News Releases

The New York Times, NBCNews.com, Law360, Marketplace and the Catholic News Service tapped UD faculty expertise to discuss executive compensation, the rite of baptism, discrimination in the workplace, sustainable fuels; and Frances Millicent Douglass, the first African American woman to chair a department at a historically white institution of higher education.

Ud In The News Feb. 5-11, University Of Dayton

News Releases

The Academic Minute, Newsweek, Popular Science, Newsy and the Journal of College Admission are among the national news media seeking UD faculty expertise. Stars and Stripes featured UD's pledge to support employees in the National Guard and Reserve.

Six-Bar Linkage Models Of A Recumbent Tricycle Mechanism To Increase Power Throughput In Fes Cycling, Nicholas A. Lanese, David H. Myszka, Anthony L. Bazler, Andrew P. Murray

Mechanical and Aerospace Engineering Faculty Publications

This paper presents the kinematic and static analysis of two mechanisms to improve power throughput for persons with tetra- or paraplegia pedaling a performance tricycle via FES. FES, or functional electrical stimulation, activates muscles by passing small electrical currents through the muscle creating a contraction. The use of FES can build muscle in patients, relieve soreness, and promote cardiovascular health. Compared to an able-bodied rider, a cyclist stimulated via FES produces an order of magnitude less power creating some notable pedaling difficulties especially pertaining to inactive zones. An inactive zone occurs when the leg position is unable to produce enough …

Two University Of Dayton Students First To Complete New Life Science Quality Assurance Minor, Allison Brace

College of Arts and Sciences Newsroom

Abigail Lee, a senior biology major, and Hayley Jesse, a junior chemical engineering major, are the first students to complete the University of Dayton’s quality assurance in the life science industries minor.

Resilient: In Midst Of Pandemic, 97% Of University Of Dayton Graduates Report Getting Off On Right Foot Toward Career Success, University Of Dayton

News Releases

The COVID-19 pandemic has disrupted the postgraduate plans for many college students nationwide. However, despite the pandemic, the vast majority of recent University of Dayton graduates have been successful landing a good-paying job in their chosen field, a service opportunity, or a spot in graduate or a professional school.

Ud In The News Jan. 29-Feb. 4, University Of Dayton

News Releases

Geologist Shuang-Ye Wu contributed an Academic Minute about climate change. Catholic News Service interviewed historian Shannen Dee Williams about how knowing Black Catholic history can help end racism. OhioENGINEER highlighted hands-on opportunities for students in the School of Engineering's Industrial Assessment Center. School of Law Dean Andrew Strauss contributed a piece to Cleveland Jewish News about the law school.

The Joy Of Making Music, Eric F. Spina

President's Blog: From the Heart

When I tell people that the University of Dayton Orchestra is comprised of a majority of non-music majors (including many engineering students!), they look at me in surprise.

Ud Men For Gender Equity Newsletter, February 2022, University Of Dayton. Women's Center

UD Men for Gender Equity Newsletter

Welcome Message

Upcoming Engagement Opportunities

• Advocacy 101 Info Session
• Women's Advisory Council Application

Celebrating Black History Month

Fast Facts!

• African American Women in Higher Education and Leadership
• 15 Black Women Who are Breaking Barriers in STEM

Profile: Experiences of Dr. Gerica Brown

Announcements

Share Your Experience

University Of Dayton Magazine, Spring 2022, 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.

University Of Dayton Undergraduate Biology Researcher Awarded Honorable Mention For Presentation At Midwest Drosophila Meeting, Allison Brace

College of Arts and Sciences Newsroom

University of Dayton senior Hannah Darnell was one of two undergraduate students selected to present research at the 2021 Midwest Drosophila Conference in October at Indiana University in Bloomington. She was awarded honorable mention for her presentation.

Moses Moore: Political Action, Heidi Gauder

University Libraries Blog Archive

Part 2 of 6 in a documentary biography of Moses Moore, who became known as the wealthiest Black man in Dayton in the late 1800s.

Moses Moore: A Documentary Biography, Heidi Gauder

University Libraries Blog Archive

This six-part biographical series, constructed largely with primary sources, tells the story of Moses Moore, who in the late 1800s became known as the wealthiest Black man in Dayton.

Constitution Of The Academic Senate Of The University Of Dayton, University Of Dayton. Academic Senate

Senate Governing Documents

Official document of the Academic Senate of the University of Dayton.

Elevating The Arts, Eric F. Spina

President's Blog: From the Heart

If the walls could talk at the nearby Marion’s Piazza, I think they'd tell us a bit about why entrepreneur and philanthropist Roger Glass is such an avid supporter of the arts.

5 Questions With Isabella Saylor '24, Thomas M. Columbus

Materials from the University of Dayton Magazine Website

Sophomore Isabella Saylor, now a computer engineering major at UD, was the only girl in her information technology class at Hamilton (Ohio) Ross High school. “It was nerve-wracking,” she said. “But I figured out my strengths and weaknesses. And gained confidence.”

Ud In The News Dec. 18-Jan. 7, University Of Dayton

News Releases

Four faculty published Conversation pieces and U.S. News & World Report, Bloomberg and the Los Angeles Times quoted three others in stories during the last two weeks of 2021 and the first week of 2022.

Just A Smattering Of Snow, Larry Burgess

Materials from the University of Dayton Magazine Website

Winter weather is hard to predict.

A Deep Neural Network For Early Detection And Prediction Of Chronic Kidney Disease, Vijendra Singh, Vijayan K. Asari, Rajkumar Rajasekaran

Electrical and Computer Engineering Faculty Publications

Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD). Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers around the world to identify CKD as a condition that leads to reduced renal function over time. A person with CKD has a higher chance of dying young. Doctors face a difficult task in diagnosing the different diseases linked to CKD at an early stage in order to prevent the disease. This research presents a novel deep learning model for the early detection and prediction of CKD. This research objectives to create a deep …

A Progressive Learning Strategy For Large-Scale Glacier Mapping, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

In recent years, the worldwide temperature increase has resulted in rapid deglaciation and a higher risk of glacier-related natural hazards such as flooding and debris flow. Due to the severity of these hazards, continuous observation and detailed analysis of glacier fluctuations are crucial. Many such analyses require an accurately delineated glacier boundary. However, the complexity and heterogeneity of glaciers, particularly debris-covered glaciers (DCGs), poses a challenge for glacier mapping when using conventional remote sensing or machine-learning techniques. Some examples exist about small-scale automated glacier mapping, but large or regional-scale mapping is challenging. Previously, a deep-learning-based approach named GlacierNet2 had been …

Guns And Practical Reason: An Ethical Exploration Of Guns And Language, Mark Ryan

Theology and Religious Studies Faculty Publications

There is no shortage of words and rhetoric being offered up in relation to the topic of guns, much of it directed to the political standoff regarding how to respond to gun violence. Yet the debate over guns in America, especially as it concerns putting in conversation the positions of “gun people” and “non-gun people,” barely scratches the surface of substantive convictions held on both sides about the place of guns in our lives. A critical reason for this is that the language and rhetoric of the debate suppresses such convictions, keeping the discussion shallow and antagonistic. This, I argue, …

Vietnamese Document Analysis: Dataset, Method And Benchmark Suite, Khang Nguyen, An Nguyen, Nguyen D. Vo, Tam Nguyen

Computer Science Faculty Publications

Document image understanding is increasingly useful since the number of digital documents is increasing day-by-day and the need for automation is increasing. Object detection plays a significant role in detecting vital objects and layouts in document images and contributes to providing a clearer understanding of the documents. Nonetheless, previous research mainly focuses on English document images, and studies on Vietnamese document images are limited. In this study, we extensively benchmark state-of-the-art object detectors and analyze the performance of each method on Vietnamese document images. Moreover, we also investigate the effectiveness of four different loss functions on the experimental object detection …

Finding An Effective Shape Parameter Strategy To Obtain The Optimal Shape Parameter Of The Oscillatory Radial Basis Function Collocation In 3d, Quinnlan Aiken, Annika Murray, Ar Lamichhane

Undergraduate Mathematics Day: Past Content

Recent research into using the Method of Approximate Particular Solutions to numerically solve partial differential equations, has shown promising results. High levels of accuracy can be obtained when implementing this method, however the success of this collocation method is dependent on a shape parameter that is found in nearly all radial basis functions. If the shape parameter is not appropriately chosen, then it can provide an unacceptable result. Two shape parameter strategies are considered, a random variable shape parameter strategy and a leave-one-out cross validation strategy. The main objective of this work is to assess the viability of using these …

Program: 2022 Catholic Intellectual Tradition Symposium, University Of Dayton

Catholic Intellectual Tradition Symposium

Program for the 2022 Catholic Intellectual Tradition Symposium, held Feb. 14-15, 2022, in the Kennedy Union Torch Lounge.

Sex Sounds: Vectors Of Difference In Electronic Music, Daniele Shlomit Sofer

Books and Book Chapters by University of Dayton Faculty

In Sex Sounds, Daniele Shlomit Sofer investigates the repeated focus on sexual themes in electronic music since the 1950s. Debunking electronic music's origin myth—that it emerged in France and Germany, invented by Pierre Schaeffer and Karlheinz Stockhausen, respectively—Sofer defines electronic music more inclusively to mean any music with an electronic component, drawing connections between academic institutions, radio studios, experimental music practice, hip-hop production, and histories of independent and commercial popular music. Through a broad array of detailed case studies—examining music that ranges from Schaeffer's musique concrète to a video workshop by Annie Sprinkle—Sofer offers a groundbreaking look at the …

Exploring The Predictive Power Of Machine Learning For Energy Consumption In Buildings, Vibhu Sharma

Mechanical and Aerospace Engineering Graduate Student Publications

This study investigates the application of machine learning techniques to predict energy consumption in buildings. Five machine learning models (linear regression, decision trees, random forest, support vector machines, and neural networks) are evaluated, and a permutation feature importance analysis is conducted to identify the most influential features. The random forest model emerges as the top performer, achieving a mean absolute error of 15.2%. Temperature, solar radiation, and relative humidity are found to be the important features in energy prediction. The study demonstrates the potential of machine learning for energy prediction in buildings, contributing to more efficient energy management and sustainability.

Meltpondnet: A Swin Transformer U-Net For Detection Of Melt Ponds On Arctic Sea Ice, Ivan Sudakow, Vijayan K. Asari, Ruixu Liu, Denis Demchev

Electrical and Computer Engineering Faculty Publications

High-resolution aerial photographs of Arctic region are a great source for different sea ice feature recognition, which are crucial to validate, tune, and improve climate models. Melt ponds on the surface of melting Arctic sea ice are of particular interest as they are sensitive and valuable indicators and are proxy to the processes in the Arctic climate system. Manual analysis of this remote sensing data is extremely difficult and time-consuming due to the complex shapes and unpredictable boundaries of the melt ponds, and that leads to the necessity for automatizing the processes. In this study, we propose a robust and …

Circuit Optimization Techniques For Efficient Ex-Situ Training Of Robust Memristor Based Liquid State Machine, Alex Henderson, Christopher Yakopcic, Cory Merkel, Steven Harbour, Tarek M. Taha, Hananel Hazan

Electrical and Computer Engineering Faculty Publications

Spiking neural network hardware offers a high performance, power-efficient and robust platform for the processing of complex data. Many of these systems require supervised learning, which poses a challenge when using gradient-based algorithms due to the discontinuous properties of SNNs. Memristor based hardware can offer gains in portability, power reduction, and throughput efficiency when compared to pure CMOS. This paper proposes a memristor-based spiking liquid state machine (LSM). The inherent dynamics of the LSM permit the use of supervised learning without backpropagation for weight updates. To carry out the design space evaluation of the LSM for optimal hardware performance, several …