Digital Commons Network^™

On Moments Of Certain Families Of L-Functions, Gopal Maiti

Doctoral Theses

In this thesis, I described the notion of moments of L-functions in some families. Then I discussed some problems on estimating moments of L-functions. As applications, I showed some simultaneous non-vanishing and correlation results of certain product L-functions over number fields as well as function fields.

2022 Draft Final Blacktail Creek Groundwater Hydraulic Control System Remedial Design Work Plan, Stantec Consulting Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Density Of State Method For First-Order Phase Transitions In Yang-Mills Theories, D Mason, B Lucini, M Piai, E Rinaldi, D Vadacchino

School of Engineering, Computing and Mathematics

No abstract provided.

Georgia Southern University Fact Book, Georgia Southern University

Georgia Southern Fact Books (1976-2022)

No abstract provided.

Medical Monitoring Working Group Meeting Minutes, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2022 Draft Final Blacktail Creek Groundwater Hydraulic Control System Remedial Design Work Plan, Stantec Consulting Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Scaling Epa-Rimm With Multicore System Management Interrupt Handlers, Alexander K. Freed

Dissertations and Theses

Continuous runtime integrity measurement mechanisms (RIMMs) can be used for timely detection of kernel and hypervisor rootkits. Researchers have proposed running RIMMs in privileged execution environments, such as the x86 architecture’s System Management Mode (SMM), to detect interference from rootkits that have gained control of the host operating system. However, the extended amount of time in SMM required to perform inspections can cause severe disruption to the host. A previously proposed RIMM design called EPA-RIMM addresses this by decomposing long inspections across multiple System Management Interrupts (SMI), the interrupt used to invoke SMM.

EPA-RIMM is intended for deployment on server-class …

Local Well-Posedness Of The Cauchy Problem For A P -Adic Nagumo-Type Equation, L. F. Chacón-Cortés, C. A. Garcia-Bibiano, Wilson A. Zuniga-Galindo

School of Mathematical & Statistical Sciences Faculty Publications

We introduce a new family of p -adic nonlinear evolution equations. We establish the local well-posedness of the Cauchy problem for these equations in Sobolev-type spaces. For a certain subfamily, we show that the blow-up phenomenon occurs and provide numerical simulations showing this phenomenon.

On A Guiding Of Whistler-Mode Waves By Density Gradients, Anatoly V. Streltsov

Publications

Observations from satellites demonstrate that in the magnetosphere, VLF whistler-mode waves are frequently detected in the narrow transition regions, where the plasma density changes its magnitude over a short distance across the ambient magnetic field. These observations suggest that the small-scale, isolated density gradients can guide the VLF whistler-mode waves along the field. We investigate the guiding of the whistler-mode waves by the transverse density gradients with a size much less than the characteristic perpendicular size of the wave. We found analytical solutions describing these waves in the plasma with a sharp density discontinuity between two homogeneous regions, and confirm …

Congruences For Consecutive Coefficients Of Gaussian Polynomials With Crank Statistics, Dennis Eichhorn, Lydia Engle, Brandt Kronholm

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we establish infinite families of congruences in consecutive arithmetic progressions modulo any odd prime ℓ for the function p ( n , m , N ) , which enumerates the partitions of n into at most m parts with no part larger than N . We also treat the function p ( n , m , ( a , b ] ) , which bounds the largest part above and below, and obtain similar infinite families of congruences.

For m ≤ 4 and ℓ = 3 , simple combinatorial statistics called "cranks" witness these congruences. We prove …

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 …

2022-12-02, Board Of Regents, Murray State University

Board of Regents Meeting Minutes

No abstract provided.

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. …

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 …

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 …

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 …

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

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 …

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 …

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 …

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 …

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?

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.

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 …

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.

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

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 …

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 …

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.

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.