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- Type:
- Student Work
- Description/Abstract:
- Omniscient File Assistant is a file management platform created for easy monitoring of file systems of remote end-user workstations. With the number of employees working from home now eclipsing 66%, the likelihood of insider misuse is at an all-time high as employees may struggle to balance their new work life (Herhold). Through its monitoring and analysis features, OFA allows an organization to mitigate improper device usage and data storage before serious security incidents arise. Capabilities include regular metadata collection, centralized data storage and reporting, file matching via hashing and other criteria, file content scanning, server backups, and a robust searching tool. By utilizing Omniscient File Assistant, an organization can lessen their chances of having end-user issues by preventing long-term storage of personal files, storage of restricted materials, and unauthorized modifications. Omniscient File Assistant provides a one stop interface for administrators to log, flag, track and remove files at their discretion.
- Creator/Author:
- Library Service, CECH; Bergman, Cameron; Evans, Benjamin, and Manny, John
- Submitter:
- CECH Library Service
- Date Uploaded:
- 06/11/2021
- Date Modified:
- 06/11/2021
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- The global smart mirror market is projected to reach $4,118.9 million by 2025, registering a CAGR(Compound Annual growth rate) of 11.5% from 2018 to 2025. We created a “smart” mirror that allows a person to efficiently do everything they need to do to prepare for the day while also view the news, weather, and other information. What makes a smart mirror “smart” is the ability to display any information you want on it. While providing a calendar, weather, date and time, or mapping software we are able to offer the user a convenient solution. The combination of hand motion, facial recognition, simple UI, calendar, and weather modules substantially increase the freedom and organization users have when interacting with this technology. This device allows users to experience a hands-free environment. Being able to take in all of this useful information without interrupting your normal routine is very liberating.
- Creator/Author:
- Library Service, CECH; Oteng, Atakorah; Bacon, Casey, and Moore II, James
- Submitter:
- CECH Library Service
- Date Uploaded:
- 06/11/2021
- Date Modified:
- 06/11/2021
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Every year, freshmen across the US gain weight from the food courts on each college campus. Studies have found two thirds of freshmen gain weight during their first year while 70% of students gain weight and body fat before graduation. Our app UC FIT aims to reduce the overall weight gain and unhealthy lifestyle college students face every year. We are here to help college students navigate the weight room and the food courts. UC FIT will help them live out a healthy lifestyle by informing them of what food options are available, each day from the food courts. As well, UC FIT will provide a seamless way to track workouts and learn how to operate the gym equipment, using our guided workout animations of specific exercises. UC FIT will help college students and countless others from gaining excessive weight throughout their freshmen year.
- Creator/Author:
- Norton, Andrew; Library Service, CECH; Blaha, Samuel, and Schemine, Blake
- Submitter:
- CECH Library Service
- Date Uploaded:
- 06/11/2021
- Date Modified:
- 06/11/2021
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Accessible Wayfinding: McMapping Edition is route-finding web application, compliant with guidelines laid out in the Americans with Disabilities Act Standards for Accessible Design, that provides users with accessible routes within the Arts and Sciences building, formally known as McMicken Hall. The University of Cincinnati's recent accessibility initiative uncovered significant deficits in the campus’ overall accessibility. While this initiative has improved many elements of the university campus, it has yet to address needed improvements for those navigating inside UC’s buildings. The McMapping wayfinding web application is designed to provide students, faculty, staff, and visitors with mobility concerns the means to navigate through the Arts and Sciences building with peace of mind. By utilizing Phaser, the application will feature visual route guidance as an individual can first, select a starting location and a target destination within the establishment. The program provides the most accessible route to that spot. In addition to accessible route guidance, authenticated users can use saved routes and notification features to quickly identify previously used routes and to help other users navigate their way to success!
- Creator/Author:
- Million, Kharajae; Overmyer, William; Smith, Matthew; Library Service, CECH; Catherwood, Anne, and Burke, Mollie
- Submitter:
- CECH Library Service
- Date Uploaded:
- 06/11/2021
- Date Modified:
- 06/11/2021
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Crosby, Jared; Straus, Catherine; Cristiano, Amy; Ginn, Megan, and Marotta, Matthew
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 06/09/2021
- Date Modified:
- 06/09/2021
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Clapp, Sean; Dickerson, Leah; Kappler, Mary Beth, and Neville, Chase
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 06/09/2021
- Date Modified:
- 06/09/2021
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Myers, Christian
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/19/2021
- Date Modified:
- 05/19/2021
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Document
- Description/Abstract:
- This paper explores the question of why it is important to apply culturally responsive teaching within the classroom, through creativity. Teaching diversity exposes students to a variety of cultural and social groups. This educational experience prepares students to become better citizens, within their communities. Through the creative process, students will examine topics which, both, encompass and promote diversity. Additionally, students will be able to construct their own independent, inclusive environment, through art making; this increase in diversity education relates not only to the race and ethnicity of our students, it also includes religion, economic status, gender identity, language background, and more. Adopting inclusion and awareness around multicultural education and taking a culturally responsive approach to teaching is a benefit to both students and instructors. Not only does creating a better multicultural awareness and inclusive environment help students with different backgrounds and needs succeed, but it encourages acceptance and helps prepare students to thrive in a diverse world. Keywords: cultural diversity, curriculum, teaching, art, social reconstructionism
- Creator/Author:
- Sydney Barth; Courtney Moreland, and Mahnaz Amin Foroughi
- Submitter:
- smith4kk@ucmail.uc.edu
- Date Uploaded:
- 05/18/2021
- Date Modified:
- 05/18/2021
- Date Created:
- 2021-04-22
- License:
- All rights reserved
-
- Type:
- Dataset
- Description/Abstract:
- Classifier algorithms use the features (collectively known as Feature Vectors) of each item in a dataset to assess the classification to which that item belongs. In this classifier approach, each item represents one document containing the application essay combined with unstructured language describing relevant activities of a single applicant. For privacy, the full text of this document is not provided. Instead, each document is represented only by its features. The feature vector for this classifier is based on the term frequency for each of the identified terms. E.G. Doc_A contains 0 occurrences of any terms identified as family medicine vocabulary, and 10 occurrences of terms from the the non-family-medicine vocabulary.
- Creator/Author:
- Boylan, Andrew and McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 05/14/2021
- Date Modified:
- 05/14/2021
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words). Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts. We coded these Key Terms into categories, then analyzed those categories for overarching themes.
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 05/14/2021
- Date Modified:
- 05/14/2021
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
