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2022

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Articles 2011 - 2040 of 3613

Full-Text Articles in Computer Sciences

Uc-158 Portable, To-Go, Security System, Luben Jelezarov, Julia Varzari, Zack Hixon, Marcelle Al Noukimi, Mohammed Al Bayati Apr 2022

Uc-158 Portable, To-Go, Security System, Luben Jelezarov, Julia Varzari, Zack Hixon, Marcelle Al Noukimi, Mohammed Al Bayati

C-Day Computing Showcase

Security is an element that every person on earth strives to attain. Having security of your home, family, and self is a challenge amongst the dynamic and unpredictable world. Security systems these days have done wonders in being able to secure a persons home and allow them to manage and react in case of an incident, however are rigid as they only secure your home, and once you leave, it's as if you're on your own again. Our device aims to bring the peace of mind and security of a home system with a person where ever they go. In …

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Uc-161 Cybersecurity Capstone, Magan Silwal, Ryan Duncan, Evelyn Cronnon, Scott Weaver, Ihad Eid Apr 2022

Uc-161 Cybersecurity Capstone, Magan Silwal, Ryan Duncan, Evelyn Cronnon, Scott Weaver, Ihad Eid

C-Day Computing Showcase

The purpose of this capstone was to form a cyber security team to help a small business, a restaurant, secure their server. As a team, we had to research any risks and generate a plan based on the information we found. We researched the best tools to use and configured them on to our server. In order to identify how secure our server was, a team was responsible to try to exploit the URL. It was our job to monitor the server for any potential threats/vulnerabilities.

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Uc-168 Telemedic Application, Yasha Jones, Nate Schneider, Martin Nguyen, Kate Fisher, My Anh Huynh, Shailesh Thapa, Mike Lin Apr 2022

Uc-168 Telemedic Application, Yasha Jones, Nate Schneider, Martin Nguyen, Kate Fisher, My Anh Huynh, Shailesh Thapa, Mike Lin

C-Day Computing Showcase

The project is a web portal for doctors and patients that can store chats, reports, requests for appointments, and host video calls. It is built in JavaScript and utilizes ReactJS, Zoom, NPM, and other third party softwares to run. This project is an undergraduate capstone project.

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Uc-172 Grizzly's Maw - Gameplay Trailer, Allen J. Harris Apr 2022

Uc-172 Grizzly's Maw - Gameplay Trailer, Allen J. Harris

C-Day Computing Showcase

A brief gameplay trailer that includes a majority of mechanics that are currently implemented, and a voice over that explains the premise and appeal of the game. Gameplay video available here: https://drive.google.com/file/d/1bYP3Ef-tymRI4QvIQxoVWNwMvHJo86Ja/view?usp=sharing

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Uc-185 Gtri: Analysis Of Alternatives (Team 2), Christopher Coleman, Gurpreet Kaur, Jonathan Gamez Duarte, Erick Diaz, Samuel Foster Apr 2022

Uc-185 Gtri: Analysis Of Alternatives (Team 2), Christopher Coleman, Gurpreet Kaur, Jonathan Gamez Duarte, Erick Diaz, Samuel Foster

C-Day Computing Showcase

The capstone project Analysis of Alternatives was where a group would research and test workstation deployment tools to see if they could fulfill the fifteen requirements that GTRI needs for a deployment tool. The project was broken down into four phases: planning, research, testing, documentation/recommendation. Planning phase was used to set up the pathway to follow to finish the project on time and meet every objective to the groups’ best abilities. Then, in the research phase we used this phase to discover what three tools we would test. In the testing phase we tested three workstation deployment tools, to see …

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Uc-186 Plat-N-Run, Alan J. Holt Apr 2022

Uc-186 Plat-N-Run, Alan J. Holt

C-Day Computing Showcase

For this project, I wanted to try and make a First Person game experience that had an extra layer of gameplay that many First Person experiences didn’t have. With that, I added the function of letting the player throw out their own walls and therefore paths that they can make for themselves. Wall running, Characters and stats/achievements aid in the game loop of completing levels as fast as possible and seeing how well the player did to try and do better in another run.

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Uc-193 Goldmind, Jacob D. Matos, Roman M. Mazzoni, Leroyia Y. Payne, Devon Adams Apr 2022

Uc-193 Goldmind, Jacob D. Matos, Roman M. Mazzoni, Leroyia Y. Payne, Devon Adams

C-Day Computing Showcase

A hand-drawn Rouge-lite game where you progress through procedurally generated rooms full of various enemies and bosses. Power yourself up by finding items in the Item Room, or buy yourself an upgrade from the Shop, if you have enough coin. Can you survive?

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Uc-204 Locovents! Events In Your Location., Nrip S. Basnet, Daniel Bodien, Andrew Arundell, Jackson Mchale, Ode Miller Apr 2022

Uc-204 Locovents! Events In Your Location., Nrip S. Basnet, Daniel Bodien, Andrew Arundell, Jackson Mchale, Ode Miller

C-Day Computing Showcase

Locovents is the name of our android app-based project that will display to our users an interactive list detailing the local events going on in their area. Our goal for this project was to create a custom web scraper to display the any cool events that might be occurring in their respective area. This project was build using java and python along with android studios. With in the past 3 months we have worked rigorously to create a fully functional android app that scrapes the web and appropriately provides the user with relative information. This way our users will not …

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Uc-209 Remote Presence Robot, Andrew Goeden, Hajar Zemzem, Pamir Ahmad, Tam M. Dang, Aaron Newson, Anna Song, Mohammed Rehaan Apr 2022

Uc-209 Remote Presence Robot, Andrew Goeden, Hajar Zemzem, Pamir Ahmad, Tam M. Dang, Aaron Newson, Anna Song, Mohammed Rehaan

C-Day Computing Showcase

A motorized robot that has a screen, microphone, webcam, and speaker to perform video chat capabilities and the ability to move about the environment. The robot will have customization functionalities to add a personal flair for the remote user. A remote user can access a web dashboard to control the robot as if they were in person. This will be good for sick or handicapped people. In addition to the standard web dashboard, we can incorporate a customization aspect for the host user to add filters to their image or stream audio (background blur, soundboard playback, etc.) The robot will …

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Uc-223 Gtri: Analysis Of Alternatives (Team 3), Damian G. Coffia, Elijah Brooks, Keegan Fleeman, Sean Richards Apr 2022

Uc-223 Gtri: Analysis Of Alternatives (Team 3), Damian G. Coffia, Elijah Brooks, Keegan Fleeman, Sean Richards

C-Day Computing Showcase

Our project focuses on analyzing alternative tools for workstation deployment using operating system imaging software. Our project conducts research on ten different tools available on the market, scoring each based on requirements given to us by a company. After evaluation, three tools are selected for implementation and testing. Once testing is concluded, our group will choose one of the tested tools to recommend for workstation deployment for the company by submitting a full hardware analysis detailing the steps taken to select the tool along with implementation steps for tool deployment.

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Ur-159 - A Systematic Literature Review On Dark Web, Shahriar Sobhan, Timothy Williams, Edwin Mathew, Juanjose Rodriguez-Cardenas, Jack Wright, Md Jobair Hossain Apr 2022

Ur-159 - A Systematic Literature Review On Dark Web, Shahriar Sobhan, Timothy Williams, Edwin Mathew, Juanjose Rodriguez-Cardenas, Jack Wright, Md Jobair Hossain

C-Day Computing Showcase

The dark web is often discussed in taboo by many who are unfamiliar with the subject. However, this paper takes a dive into the skeleton of what constructs the dark web by compiling the research of published essays. The Onion Router (TOR) and other discussed browsers are specialized web browsers that provide anonymity by going through multiple servers and encrypted networks between the host and client, hiding the IP address of both ends. This provides difficulty in terms of controlling or monitoring the dark web, leading to its popularity in criminal underworlds. In this work, we provide an overview of …

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Ur-191 - Automated Image Colorization Through Efficientnet, Troy W. Cope Apr 2022

Ur-191 - Automated Image Colorization Through Efficientnet, Troy W. Cope

C-Day Computing Showcase

Automatic Image Colorization is the procedure of transforming a gray-scale image into a colored image without any human intervention. This field is highly researched and strongly applicable to the real world due to: historic importance, data generation/augmentation, and human satisfaction. The main objective of this research is to develop an artificial intelligence feature extraction method that implements color into a gray-scale image. To solve this problem, I relied on transfer learning through the EfficientNet model. The problem was treated in multiple parts, those being: the processing of images into features, feature extraction using the model, and then colorization via the …

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Uc-236 Energy Crisis 1994, Mason T. Prather Apr 2022

Uc-236 Energy Crisis 1994, Mason T. Prather

C-Day Computing Showcase

Energy Crisis 1994 is an online multiplayer first-person shooter game. The format of the game is 4 versus 4 (with players or AI) in either King of the Hill or Payload competition. There are four playable characters at launch, each based on a unique role. The four roles are Tank, Assault, Recon, and Support. The game is inspired by Team Fortress 2, Overwatch, and Counter-Strike.

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Ur-203 - Subject Identification From Off-Angle Iris Image Using Machine Learning, David E. Chavarro, Mahmut Karakaya Apr 2022

Ur-203 - Subject Identification From Off-Angle Iris Image Using Machine Learning, David E. Chavarro, Mahmut Karakaya

C-Day Computing Showcase

This research paper investigates the use of the Squeezenet Machine Learning Neural Network to identify a subject from off-angle iris images. Squeezenet is a convolutional neural network (CNNs) which contains 50x lesser parameters than Alexnet. It allows the model to be trained on the dataset on devices that have limited resources. The training dataset contains Iris images where the gaze angles are at 0 degrees, while the validation dataset uses off-angle images.

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Improving Kernel Artifact Extraction In Linux Memory Samples Using The Slub Allocator, Daniel A. Donze Apr 2022

Improving Kernel Artifact Extraction In Linux Memory Samples Using The Slub Allocator, Daniel A. Donze

LSU Master's Theses

Memory forensics allows an investigator to analyze the volatile memory (RAM) of a computer, providing a view into the system state of the machine as it was running. Examples of items found in memory samples that are of interest to investigators are kernel data structures which can represent processes, files, and sockets. The SLUB allocator is the default small-request memory allocator for modern Linux systems. SLUB allocates “slabs”, which are contiguous sections of pre-allocated memory that are used to efficiently service allocation requests. The predecessor to SLUB, the SLAB allocator, tracked every slab it allocated, allowing extraction of allocated slabs …

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Establishing Trust In Vehicle-To-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky Apr 2022

Establishing Trust In Vehicle-To-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky

Computer Science Research Seminars and Symposia

As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing, AVs do not always identify roadway hazards. Failures in object recognition components have already led to several fatal collisions, e.g. as a result of faults in sensors, software, or vantage point. Although a particular AV may fail, there is an untapped pool of information held by other AVs in the vicinity that could be used to identify roadway hazards before they present a safety threat.

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Eye-Tracking Using Deep Learning, Sam Trenter Apr 2022

Eye-Tracking Using Deep Learning, Sam Trenter

Theses

Eye-tracking can be valuable for researchers in many domains. Most eye-tracking technologies require an extra piece of costly hardware. Several other available eye-tracking solutions are usually not very accurate and require a costly subscription. Our project was oriented at creating a free and open-source alternative that does not require additional equipment. We developed a deep learning-based solution as a prototype for this project. Specifically, we developed a deep learning model to predict a user’s gaze position on the screen. We created our training data set using a commercially available eye-tracker to train the model. Each training sample consists of a …

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Evaluation Of E-Learning Experience In The Light Of The Covid-19 In Higher Education, Ahmad Mohmmad Al-Smadi, Ahed Abugabah, Ahmad Al Smadi Apr 2022

Evaluation Of E-Learning Experience In The Light Of The Covid-19 In Higher Education, Ahmad Mohmmad Al-Smadi, Ahed Abugabah, Ahmad Al Smadi

All Works

Covid-19 has been stated as a worldwide outbreak of pandemic disease and crisis. The Covid-19 pandemic has dramatically affected the teaching and learning experience at universities and schools. In response, governments and higher education institutions around the world put significant efforts to ensure that students continue to obtain the best possible level of education and learning outcomes. As such effective evaluation of e-learning is essential in order to ensure that students get proper learning and education especially during the current circumstances of Covid-19. Our study was carried out to determine the main elements and factors related to students' satisfaction and …

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Malware And Memory Forensics On M1 Macs, Charles E. Glass Apr 2022

Malware And Memory Forensics On M1 Macs, Charles E. Glass

LSU Master's Theses

As malware continues to evolve, infection mechanisms that can only be seen in memory are increasingly commonplace. These techniques evade traditional forensic analysis, requiring the use of memory forensics. Memory forensics allows for the recovery of historical data created by running malware, including information that it tries to hide. Memory analysis capabilities have lagged behind on Apple's new M1 architecture while the number of malicious programs only grows. To make matters worse, Apple has developed Rosetta 2, the translation layer for running x86_64 binaries on an M1 Mac. As a result, all malware compiled for Intel Macs is theoretically functional …

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Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23 Apr 2022

Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23

Student Publications & Research

Chronic Rhinosinusitis (CRS) is a nasal disease characterized by the inflammation of the mucosa and paranasal sinuses with a duration of at least 12 consecutive weeks. So, to diagnose CRS, one needs to keep a record of their symptoms for ~12 weeks before they are recommended to get a tomography which will allow physicians to classify them as a patient with CRS or without. This is a timely and costly process; thus, machine learning should be used to speed the process up. Since patients with CRS have more obstructed noses, the sound produced should be different than an individual without …

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Accelerating Serverless Computing By Harvesting Idle Resources, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung Jong Park Apr 2022

Accelerating Serverless Computing By Harvesting Idle Resources, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung Jong Park

Computer Science Faculty Research & Creative Works

Serverless computing automates fine-grained resource scaling and simplifies the development and deployment of online services with stateless functions. However, it is still non-trivial for users to allocate appropriate resources due to various function types, dependencies, and input sizes. Misconfiguration of resource allocations leaves functions either under-provisioned or over-provisioned and leads to continuous low resource utilization. This paper presents Freyr, a new resource manager (RM) for serverless platforms that maximizes resource efficiency by dynamically harvesting idle resources from over-provisioned functions to under-provisioned functions. Freyr monitors each function's resource utilization in real-time, detects over-provisioning and under-provisioning, and learns to harvest idle resources …

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Characterizing And Predicting Human Visual Perception Of Unmanned Aerial Vehicle Gestures, Paul Fletcher Apr 2022

Characterizing And Predicting Human Visual Perception Of Unmanned Aerial Vehicle Gestures, Paul Fletcher

School of Computing: Dissertations, Theses, and Student Research

Unmanned Aerial Vehicles (UAVs) are being used in public domains and hazardous environments where effective communication strategies are critical. UAV gesture techniques have been shown to communicate meaning to human observers and may be ideal in contexts that require lightweight systems such as unmanned aerial flight, however, this work may be limited to an idealized range of viewer perspectives. As gesture is a visual communication technique it is necessary to consider how the perception of a robot gesture may suffer from obfuscation or self-occlusion from some viewpoints. This thesis presents the results of three online user-studies that examine participants’ ability …

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The World Is Our Classroom: Developing A Model For International Virtual Internships - The Global Innovations Project, Paul Doyle, Brian Keegan, Damian Gordon, Anna Becevel, Paul J. Gibson, Zhiying Jiang Phd, Dympna O'Sullivan Apr 2022

The World Is Our Classroom: Developing A Model For International Virtual Internships - The Global Innovations Project, Paul Doyle, Brian Keegan, Damian Gordon, Anna Becevel, Paul J. Gibson, Zhiying Jiang Phd, Dympna O'Sullivan

Articles

In the aftermath of COVID-19, remote working has become the norm, and graduates now need an even wider range of skills, which traditional classrooms and internships do not always provide. Working in multiple time zones, within global multi-cultural teams, and only ever meeting colleagues through online technology are just some of the challenges, which require a new type of global graduate. Transversal skills including leadership, collaboration, innovation, digital, green, organization and communication skills are critical. The disruption from COVID-19 also presents unprecedented opportunities to develop more inclusive approaches to internships and international experiences, to level the playing field for students …

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Identification Of Return-Oriented Programming Attacks Using Risc-V Instruction Trace Data, Daniel F. Koranek, Scott R. Graham, Brett J. Borghetti, Wayne C. Henry Apr 2022

Identification Of Return-Oriented Programming Attacks Using Risc-V Instruction Trace Data, Daniel F. Koranek, Scott R. Graham, Brett J. Borghetti, Wayne C. Henry

Faculty Publications

An increasing number of embedded systems include dedicated neural hardware. To benefit from this specialized hardware, deep learning techniques to discover malware on embedded systems are needed. This effort evaluated candidate machine learning detection techniques for distinguishing exploited from non-exploited RISC-V program behavior using execution traces. We first developed a dataset of execution traces containing Return Oriented Programming (ROP) exploitation on the RISC-V Instruction Set Architecture (ISA) and then developed several deep learning bidirectional Long Short-Term Memory (LSTM) models capable of distinguishing exploited traces from non-exploited traces, each using subsets of features from the execution traces. An objective of this …

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Phishing For Fun, Madeline Moran Apr 2022

Phishing For Fun, Madeline Moran

Computer Science Research Seminars and Symposia

The process of a phishing experiment that will be used to investigate a possible correlation between a person thinking style and their susceptibility to phishing scams.

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An Educator’S Perspective Of The Tidyverse, Mine Çetinkaya-Rundel, Johanna Hardin, Benjamin Baumer, Amelia Mcnamara, Nicholas J. Horton, Colin W. Rundel Apr 2022

An Educator’S Perspective Of The Tidyverse, Mine Çetinkaya-Rundel, Johanna Hardin, Benjamin Baumer, Amelia Mcnamara, Nicholas J. Horton, Colin W. Rundel

Statistical and Data Sciences: Faculty Publications

Computing makes up a large and growing component of data science and statistics courses. Many of those courses, especially when taught by faculty who are statisticians by training, teach R as the programming language. A number of instructors have opted to build much of their teaching around use of the tidyverse. The tidyverse, in the words of its developers, “is a collection of R packages that share a high-level design philosophy and low-level grammar and data structures, so that learning one package makes it easier to learn the next” (Wickham et al. 2019). These shared principles have led to the …

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Self-Supervised Video Object Segmentation Via Cutout Prediction And Tagging, Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah Apr 2022

Self-Supervised Video Object Segmentation Via Cutout Prediction And Tagging, Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah

Computer Vision Faculty Publications

We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation. Distinct from previous self-supervised VOS methods, our approach is based on a discriminative learning loss formulation that takes into account both object and background information to ensure object-background discriminability, rather than using only object appearance. The discriminative learning loss comprises cutout-based reconstruction (cutout region represents part of a frame, whose pixels are replaced with some constant values) and tag prediction loss terms. The cutout-based reconstruction term utilizes a simple cutout scheme to learn the pixel-wise correspondence between the current …

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Cancel Culture: Who Or What Will Be Next?, Christine Trumper Apr 2022

Cancel Culture: Who Or What Will Be Next?, Christine Trumper

Honors Projects in Data Science

This paper utilizes Data Science and Applied Statistic techniques, to perform an analytical dive into Cancel Culture as it is referenced and used on Twitter. The research focuses on analyzing how Cancel Culture has affected the sentiment of Twitter, specifically how it impacts prominent topics in the media that have occurred between February 2021 to September 2021. The development of a topic and sentiment analysis will be based on 1,302,844 Tweets collected using Twitter’s API. Cancel Culture became popularized on social media in the past few years and there is little concrete information regarding its process and the demographics it …

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Identifying Factors That Lead To Injury In The Nfl, Matthew Toner Apr 2022

Identifying Factors That Lead To Injury In The Nfl, Matthew Toner

Honors Projects in Data Science

This study hypothesizes that injury-causing factors can be identified through training machine learning models with NFL injury data. The machine learning process entailed web scraping, pre-processing, cleaning, modeling, and analyzing NFL injury data to identify these factors. The features used to model injuries included the following: games played, games started, weight, height, age, year, years of experience, starting position, and team. The four models used to model NFL injuries were Logistic Regression, Decision Trees, Random Forests, and Gradient Boosted Trees. The model with the best performance was the Gradient Boosted Trees model, with an F1 score of 0.508. In addition, …

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Twitter's Role In An Increasingly Polarized Political Climate; A Look Into The 2020 Us Elections, Leanne Kendall Apr 2022

Twitter's Role In An Increasingly Polarized Political Climate; A Look Into The 2020 Us Elections, Leanne Kendall

Honors Projects in Data Science

Amidst politically strained times, one might wonder what has cause such an exaggerated gap between the views of democrats and republicans. For years, research has suggested the US’s voting population is becoming increasingly politically polarized, with one of the causes being social media. This study's purpose is to understand more about the role that social media plays in the polarization of parties in the US. The study is comprised of the analysis of over 3,000,000 tweets from 9/22/2020 through 11/10/2020 that mention or are written by senate and presidential candidates. Natural language processing, network graphing, and sentiment analyses were utilized …

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