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African American Family Members’ Needs And Experiences During A Loved One’S End-Of-Life, Kelley Obringer Dec 2022

African American Family Members’ Needs And Experiences During A Loved One’S End-Of-Life, Kelley Obringer

Theses and Dissertations

This study aimed to explore African American family members’ needs and experiences during their loved one’s end-of-life. In Chapter 1, a literature review was conducted to review the current state of the literature regarding African American family members’ needs and experiences during their loved one’s end-of-life. Chapter 2 includes a qualitative exploratory study of African American family members’ needs and experiences during their loved one’s end-of-life. The study sample consisted of family members of African Americans being cared for through services provided by an outpatient palliative care facility in the Southeastern United States. Family members answered five open-ended interview questions …

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Ministerial Decision On The Trips Agreement (Wto), Ana Santos Rutschman Dec 2022

Ministerial Decision On The Trips Agreement (Wto), Ana Santos Rutschman

Faculty Publications

No abstract provided.

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Stabilization Of Zero-Energy Skin Modes In Finite Non-Hermitian Lattices, Cem Yuce, Hamidreza Ramezani Dec 2022

Stabilization Of Zero-Energy Skin Modes In Finite Non-Hermitian Lattices, Cem Yuce, Hamidreza Ramezani

Physics & Astronomy Faculty Publications

The zero energy of a one-dimensional semi-infinite non-Hermitian lattice with nontrivial spectral topology may disappear when we introduce boundaries to the system. While the corresponding zero-energy state can be considered as a quasi-edge state for the finite lattice with a long survival time, any small disruption (noise) in the initial form of the quasi-edge state can significantly shorten the survival time. Here, by tailoring the couplings at one edge we form an exceptional point allowing for a topological phase transition and the stabilization of the quasi-edge state in a finite-size lattice with open edges. Such a small modification in the …

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Recent Technical Breakthroughs Enable Smart Manufacturing: A Review, Manish Kumar, Shanu Pandey, Kanchan Upadhyay, Pritibala Taunk, Raunak Kumar Tamrakar Dec 2022

Recent Technical Breakthroughs Enable Smart Manufacturing: A Review, Manish Kumar, Shanu Pandey, Kanchan Upadhyay, Pritibala Taunk, Raunak Kumar Tamrakar

Al-Bahir

In human culture, machine learning has long been used to address complicated issues. Machine learning is successful because of the help provided by computational power and sensing technology. Data-driven strategies and the development of artificial intelligence will soon have a significant impact on the industry. Common examples include search engines, picture recognition, biometrics, speech and handwriting recognition, natural language processing, as well as medical diagnostics and credit scores. It is obvious that when artificial intelligence permeates our globe and, more precisely, our lives, numerous challenges will become public. According to predictions, Industry 4.0 or Smart Manufacturing will be the next …

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Reducing The Negative Effects Of Uncontrollable Factors When Designing New Courses, Nusser Raajpoot, Ran Liu Dec 2022

Reducing The Negative Effects Of Uncontrollable Factors When Designing New Courses, Nusser Raajpoot, Ran Liu

Atlantic Marketing Journal

This paper seeks to introduce a novel course design method in academic literature. It uses advanced experimental designs to capture student preferences. It also makes a distinction between controllable and uncontrollable design factors and seeks to minimize the negative impact of uncontrollable design factors, ensuring a successful course introduction. We propose and test a design method that combines Taguchi experimental designs with discrete choice estimation where choice probabilities are used as input data for Taguchi's inner and outer arrays. Design efficiency is measured by calculating signal to noise (S/N) ratio, which accounts for both mean and variance of choice probabilities. …

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Brides And Bridal Stores: Online Or Brick-And-Mortar, Libby C. Jones, Ismet Anitsal, Melek Meral Anitsal Dec 2022

Brides And Bridal Stores: Online Or Brick-And-Mortar, Libby C. Jones, Ismet Anitsal, Melek Meral Anitsal

Atlantic Marketing Journal

This paper explores the growing global bridal industry and the different trends, traditions, and aspects of specific countries' bridal industries. It outlines western and eastern traditions and how globalization contributes to their spread. A deeper focus is dedicated to the United States' bridal industry and the issues brick-and-mortar bridal boutiques face as more brides have started shopping at online bridal stores. The relationship between brick-and-mortar and online bridal stores is explored based on various propositions about the bridal industry's emerging challenges. These propositions include trust issues in the retail environment, convenience, selection of bridal gowns in different retail formats, incorporating …

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Political Reality: Attack Ads Are Here To Stay, Rebecca Dingus, Chanho Song, Richard H. Kolbe, Michael Y. Hu Dec 2022

Political Reality: Attack Ads Are Here To Stay, Rebecca Dingus, Chanho Song, Richard H. Kolbe, Michael Y. Hu

Atlantic Marketing Journal

The primary research questions of this study center on two largely overlooked areas in negative political advertising: (1) Would the sponsor of the attack ad message be better off with a positive message? (2) When one is targeted by an attack ad, how should the attacked candidate respond? M-Turk subjects (n = 1,380) were used to conduct a multi-stage experimental design to capture the dynamic aspects of how subjects react to the use of attack ads in a hypothetical political campaign. In general, subjects did not respond favorably to attack ads, as these negative political messages caused damage to the …

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Gc-308 Heart Disease Prediction And Analysis By Machine Learning, Venkata Sabarinath Nekkalapu, Venkata Anusha Yammada, Mrinal Kapoor, Sai Sindhu Ponugoti, Suman Pudota Dec 2022

Gc-308 Heart Disease Prediction And Analysis By Machine Learning, Venkata Sabarinath Nekkalapu, Venkata Anusha Yammada, Mrinal Kapoor, Sai Sindhu Ponugoti, Suman Pudota

C-Day Computing Showcase

The heart is the most crucial part of the Human body. The organ circulates blood out of the circulatory system’s blood vessels. Any disease or failure of this organ causes death. Heart disease is one of the primary sources of death in the cutting-edge world. There are 2,380 deaths from heart disease each day, based on 2018 data. Also, heart disease causes the highest number of deaths globally, with approximately 18 million people dying yearly, meaning around 31This prediction can be made using Machine Learning techniques. With machine learning. Combining a prediction model with machine learning correctly classified results for …

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Gr-267 Churn Prediction, Manoj Kumar Dasari, Nikhil Thota, Dinesh Kumar Thota, Rishi Sai Basava, Prudhvi Kalyan Sai Sugguna Dec 2022

Gr-267 Churn Prediction, Manoj Kumar Dasari, Nikhil Thota, Dinesh Kumar Thota, Rishi Sai Basava, Prudhvi Kalyan Sai Sugguna

C-Day Computing Showcase

Employee churn is a situation where people leave the organization voluntarily or involuntarily. This has become a serious problem in recent times. We have also seen that attrition rates in several industries are going high. So, it is very much required to understand and analyze the reason behind attrition and why this is happening. We must conduct an analysis to know what the factors affecting employee churn are. It will create a huge impact on the organization if the attrition rate goes high. In order to resolve this issue, we are trying to take up this issue and find the …

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Gr-283 Chatbot, Vamsi Krishna Dhulipalla Dec 2022

Gr-283 Chatbot, Vamsi Krishna Dhulipalla

C-Day Computing Showcase

Mental health issue are the most common issue facing in human society. These issues are mostly in impact negatively on working peoples, on the individual, his/her family, workplace, community, and the economy. Our project is based on mental health chat bot of natural language processing with deep learning models .We have a structure data set of Mental Health. In the data set we have nine columns. We use neural networks to create our models .We use another method call scratch in which we create a model by our self and use it so our project we create a layer with …

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Gr-303 Dempster-Shafer Theory Of Computation, Dhanunjai Bandi, Sandeep Eadara, Sri Manju Nannapaneni, Jayanth Kumar Rayavarapu, Taraka Vishnu Yarlagadda Dec 2022

Gr-303 Dempster-Shafer Theory Of Computation, Dhanunjai Bandi, Sandeep Eadara, Sri Manju Nannapaneni, Jayanth Kumar Rayavarapu, Taraka Vishnu Yarlagadda

C-Day Computing Showcase

To implement the Dempster-Shafer Theory algorithm as well as check the prediction accuracy using this mentioned algorithm in the iris dataset. The actual aim of this paper is to understand and implement the Dempster-Shafer Theory using the python programming language. To reflect doubt and inaccuracies in the evidence, one might use a belief structure that is defined as a set function m that satisfies. The conjecture of this report is to get the closable prediction accuracy that can help to understand future improvement as well as the gap of the applied implementation techniques

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Uc-247 Wild Fire: Friend Or Foe, Christian R. Henderson, Revian C. Jennings, Kwentin Shelton Dec 2022

Uc-247 Wild Fire: Friend Or Foe, Christian R. Henderson, Revian C. Jennings, Kwentin Shelton

C-Day Computing Showcase

The U.S. Army Corp of Engineers in Carters Lake required a game that attempts to educate on the principles of both prescribed and non-prescribed fires. They request that the game be playable on an android device housed in a HOLOFIL holographic display. Additionally, it needed to be created in the mirrored format as the projection flips everything. We decided to use Unity Real-Time Development Platform to complete the game’s development. Unity is a set of tools to give content creators an all-in-one development environment that helps content creators develop games and applications. “Unity is royalty-free and does not charge on …

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Gc-311 Singsingmarketplace.Com: E-Commerce Marketplace For Remote Vendors, Daniel K. Tor, Ebikela Ogegbene-Ise Dec 2022

Gc-311 Singsingmarketplace.Com: E-Commerce Marketplace For Remote Vendors, Daniel K. Tor, Ebikela Ogegbene-Ise

C-Day Computing Showcase

American residents in the (Nigerian, Liberian, Indian, Ghanaian, etc.) Diaspora have strong ties back home and as such support loved ones, back home, on a regular basis, by sending cash remittances through Western Union, MoneyGram, etc. Remittances are expensive. Remitters have no control over how funds are spent once received. Remitters cannot send small amounts because the fees cannot be justified. We built a marketplace platform that allows the Diaspora to remit goods and services, instead of sending money to relatives back home in. The objectives are to remove or greatly reduce the cost of remittances, give more control to …

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Gr-241 On Training Explainable Neurons, Lance Kennedy Dec 2022

Gr-241 On Training Explainable Neurons, Lance Kennedy

C-Day Computing Showcase

Neural networks have become increasingly powerful and commonplace tools for guiding decision-making. However, due to the black-box nature of many of these networks, it is often difficult to understand exactly what guides them to a certain prediction, making them dangerous to use for sensitive decision making, and making it difficult to ensure confidence in their output. For instance, a network which classifies images of dogs and cats may turn out to be flawed with little consequence, but a neural network that diagnoses the presence of diseases should be assured to make sound predictions. By understanding why a network makes the …

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Uc-246 Spudify, Nathanial R. Bintliff, Jimmy V. Nguyen, Tyler Holmes, Alex M. Tawara, Addison Christian Dec 2022

Uc-246 Spudify, Nathanial R. Bintliff, Jimmy V. Nguyen, Tyler Holmes, Alex M. Tawara, Addison Christian

C-Day Computing Showcase

Spotify’s yearly wrapped report is extremely popular amongst its users. Unfortunately users must wait a year from every report to view statistics about their listening habits. Our app will allow users to generate reports displaying their top songs and artists whenever they want. Additionally, our app will allow users to generate recommendations for new music based on their favorite songs/artists. Users will also be able to generate advanced recommendations by inputting custom artists/genres/songs and customizing a variety of parameters such as the recommended song’s tempo, loudness, and danceability. Our app will give Spotify users the freedom to view statistics regarding …

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Uc-249 Hemorrhage, Daniel M. Respess, Antonio S. Brewer, Kenny Tran, Sandy Li, Rick B. Watson Dec 2022

Uc-249 Hemorrhage, Daniel M. Respess, Antonio S. Brewer, Kenny Tran, Sandy Li, Rick B. Watson

C-Day Computing Showcase

Hemorrhage is a fast-paced FPS action game with a focus on risky gameplay and dodging enemy attacks. Fight your way through hordes of grotesque creatures and make it to the end! The player starts with limited health but can steal more from killing enemies. Then, you can unleash this stored-up health to deal massive damage to your foes! Will you choose to be an unkillable tank? Or a brutal glass cannon?

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Uc-270 Red Pepper It: It Web Management Application And Content Management System, Eun Kim, Bukky Adekunle, Caitlin Washington, Neha Dedani, Ivana George Dec 2022

Uc-270 Red Pepper It: It Web Management Application And Content Management System, Eun Kim, Bukky Adekunle, Caitlin Washington, Neha Dedani, Ivana George

C-Day Computing Showcase

Red Pepper IT is an application developed for Georgia Tech Research Institute. The conception of this project arose from the lack of IT management tools that can address all the needs of an IT department. Furthermore, with the currently available tools, they are either poorly designed or have a high licensing cost. This project seeks to solve the need for such applications by building an open-source application that can be deployed internally by any business seeking a management tool for its IT department.

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Uc-274 Restful Robots, Jack I. Young, Derek M. Comella, Sarah Thomas, Andrew Loveless Dec 2022

Uc-274 Restful Robots, Jack I. Young, Derek M. Comella, Sarah Thomas, Andrew Loveless

C-Day Computing Showcase

The UXA-90 Robots have been sitting idle at Kennesaw State University for years. The only documentation provided were factory manuals, and there was nothing additional found online. The first step was to conduct a risk assessment and report the results to Professor Perry and Dr. Pei. The objective of the risk assessment was to determine the viability of the robots and the feasibility of three different senior project teams using them for a project. Once the risk assessment was completed and reported it was determined that all three teams could proceed with their senior projects. However, it was recommended that …

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Uc-277 Cosmic Cookoff, Milo D. Wilson, Aidan Fushimi, Wade G. Parham, Miller Anderson, Kosi M. Chima Dec 2022

Uc-277 Cosmic Cookoff, Milo D. Wilson, Aidan Fushimi, Wade G. Parham, Miller Anderson, Kosi M. Chima

C-Day Computing Showcase

A cooking rogue-like game where you cook the weapons you fight with.

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Gc-243 - Analysis Of Alternatives Of Workstation Deployment Solutions, Mohammed S. Alam, Rahima Daino, Brittany Davis Dec 2022

Gc-243 - Analysis Of Alternatives Of Workstation Deployment Solutions, Mohammed S. Alam, Rahima Daino, Brittany Davis

C-Day Computing Showcase

Best suited for IT students who are able to use on-site (@ KSU) testing environment Perform a market survey of the best reviewed and used workstation deployment solutions Determine a set of requirements the business needs the solution to meet Determine metrics based off the requirements to measure the tools against each other Test the top 3 tools and provide a recommendation to the organization for which tool and its instructions for its basic initial setup

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Gc-250 Object Detection And Tracking: Deep Learning-Based Framework With Euclidean Distance, Iou, And Hungarian Algorithm, Md Jobair Hossain Faruk Dec 2022

Gc-250 Object Detection And Tracking: Deep Learning-Based Framework With Euclidean Distance, Iou, And Hungarian Algorithm, Md Jobair Hossain Faruk

C-Day Computing Showcase

Object tracking is an important basis for the logistics industry where multiple packages are moved on conveyor belts at a time. Accurate datasets and efficient benchmarks are a few of the several problems for both object detection and tracking for training the deep learning-based framework. Preparing 100% accurate correspondence between objects throughout different frames by assigning human annotated unique_attributes to train framework efficiently over ground truth data. In this research, we develop an (i) OpenCV-based framework that allows the user to assign human-annotated identification between objects and (ii) a novel application for object detection and tracking. We utilize the assigned …

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Gc-258 Heart Disease Prediction Using Machine Learning, Devin Jackson, Richard Stupka, Trinadh Chigurupati, Demontae Moore Dec 2022

Gc-258 Heart Disease Prediction Using Machine Learning, Devin Jackson, Richard Stupka, Trinadh Chigurupati, Demontae Moore

C-Day Computing Showcase

Research has shown that the early detection of Heart Disease is critical to treating and understanding the causes. Through the use of advanced machine learning models and com- prehensive data sets collected on patients of varying backgrounds and health statuses, this research shows the listed correlations between attributes of data points and positive identification of the disease. This research uses 1026 unique records and 14 attributes including the classifier of Heart Disease. These attributes range from simple (cholesterol level) to more complex and subjective (chest pain type) but each attribute presents an opportunity to improve each of the analyzed models …

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Gc-279 Geometry Matching Task For Improving The Cognitive Ability In Rehabilitation Process, Samuel Owoade, Ravi Teja Chamarthi, Jeevana Kalipindi, Ghislain Dongbou Temgoua Dec 2022

Gc-279 Geometry Matching Task For Improving The Cognitive Ability In Rehabilitation Process, Samuel Owoade, Ravi Teja Chamarthi, Jeevana Kalipindi, Ghislain Dongbou Temgoua

C-Day Computing Showcase

According to Taylor & Francis Group, LLC (2015), in the National Library of Medicine“Traumatic brain injury (TBI) impacts the lives of 1.5 to 2 million new individuals each year; 75,000 to 100,000 of these are classified as severe and will suffer enduring severe spasticity in addition to cognitive”. This game follows and respect basic and fundamental rules of brain and muscles recovery process and will help patients in their process of rehabilitation and by extension will improve their cognitive abilities.

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Gc-312 Gtri It Service Desk System, Koranna Nwago, Venkata Emani, Venkata Naga Rishita Gopi, Bhavishya Chatrathi, Siphiwindoda Msimanga Dec 2022

Gc-312 Gtri It Service Desk System, Koranna Nwago, Venkata Emani, Venkata Naga Rishita Gopi, Bhavishya Chatrathi, Siphiwindoda Msimanga

C-Day Computing Showcase

This overarching project would be web development, which would entail coding both the back end and the front end. The use of libraries is encouraged, but we must be cautious about licensing and ensure that this project remains as open-source as possible (a good open-source license ensures people can use, modify, redistribute, and sell without worry). This is a free and open-source project.

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Gr-252 Solving Multiple Traveling Salesman Problem Using K Means Clustering And Mixed Integer Programming - An Integrated Approach, Navneet Verma Dec 2022

Gr-252 Solving Multiple Traveling Salesman Problem Using K Means Clustering And Mixed Integer Programming - An Integrated Approach, Navneet Verma

C-Day Computing Showcase

In this research paper, we explore an efficient algorithm for multiple Traveling Salesman Problem (m-TSP) using an approach which combines K Means clustering algorithm and Mixed Integer Programming (MIP). The Traveling Salesman problem is an NP hard problem which relates to generation of minimum cost round trip tours for multiple salesmen visiting several cities in their territory. Our novel approach has the promise of reaching closer to the optimal solution as compared to heuristics-based approaches such as genetic algorithms.

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Gr-273 Building A Chatbot, Varun Gottam, Sathwik Chepyala, Sai Mohit Saimpu, Venkata Sai Krishna Yalavarthi, Nikhil Sai Buddiga Dec 2022

Gr-273 Building A Chatbot, Varun Gottam, Sathwik Chepyala, Sai Mohit Saimpu, Venkata Sai Krishna Yalavarthi, Nikhil Sai Buddiga

C-Day Computing Showcase

A chatbot is now a part of many online applications like Health Care, Education, E-commerce, etc. It made the conversation between the customers and the service providers much more convenient as the chatbot can answer most of the queries without human intervention from the website side. This saves a lot of time and work.

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Gr-284 Automated Vulnerability Detection In Source Code Using Deep Neural Networks, Mst Shapna Akter Dec 2022

Gr-284 Automated Vulnerability Detection In Source Code Using Deep Neural Networks, Mst Shapna Akter

C-Day Computing Showcase

One of the most important challenges in the field of a software code audit is the presence of vulnerabilities in software source code. Every year, more and more software flaws are found, either internally in proprietary code or revealed publicly. These flaws are highly likely exploited and lead to system compromise, data leakage, or denial of service. C and C++ open-source code are now available in order to create a large-scale, machine-learning system for function-level vulnerability identification. We assembled a sizable dataset of millions of open-source functions that point to potential exploits. We created an efficient and scalable vulnerability detection …

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Gr-287 Natural Disaster Prediction, Sravya Sabbu, Aishwarya Turlapati, Suryapraveen Adivi Dec 2022

Gr-287 Natural Disaster Prediction, Sravya Sabbu, Aishwarya Turlapati, Suryapraveen Adivi

C-Day Computing Showcase

Natural disasters are events that are difficult to avoid. There are several ways of reducing the risks of natural disasters. One of them is implementing disaster reduction programs. There are already several developed countries that apply the concept of disaster reduction. In addition to disaster reduction programs, there are several ways to predict or reducing the risks using artificial intelligence technology. One of them is machine learning. By utilizing this method at the moment, it facilitates tasks in visualizing, analysing, and predicting natural disaster. This project will focus on conducting a review process and understanding the purpose of Machine learning …

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Gr-300 Azure Security Kql Query Builder, Navyapravalika Sabbula, Jeevana Kalipindi Dec 2022

Gr-300 Azure Security Kql Query Builder, Navyapravalika Sabbula, Jeevana Kalipindi

C-Day Computing Showcase

We produce and manage petabytes of data every day in today's culture when everything is digitally recorded, from our web surfing habits to our medical records. Big data will significantly alter all facets of existence. However, simply processing and interpreting data is insufficient; when data is presented visually, the human brain can identify patterns more quickly. In many different businesses, data analytics and visualization are essential decision-making tools. The visualization field is also opened up, displaying innovative thinking for visualizing the big-data dilemma. It is challenging to see such massive volumes of data in static or real-time formats. we explain …

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Gr-306 Improving Wildfire Propagation Simulations Using Cellular Automata To Help Emergency Management, Madeline Frank, Lokesh Meesala, Yagnasree Bollineni, Amrutha Venkatesh, Mujahid Shaheed Shaik Dec 2022

Gr-306 Improving Wildfire Propagation Simulations Using Cellular Automata To Help Emergency Management, Madeline Frank, Lokesh Meesala, Yagnasree Bollineni, Amrutha Venkatesh, Mujahid Shaheed Shaik

C-Day Computing Showcase

Discrete computational models known as cellular automata (CA) utilize discrete spatial cells, each existing in one of a set of possible states at any given moment. Transition rules specify how a given cell’s state evolves in subsequent time steps and is dependent on the states of the given cell’s neighborhood of surrounding cells. A cellular automaton model can also account for the influence of other external or physical factors on the evolution of a given cell’s state. These capabilities afforded by CA models make it an ideal tool to simulate the propagation of wildfires. One specific study carried out by …

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