Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 31591 - 31620 of 302711

Full-Text Articles in Physical Sciences and Mathematics

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 …

Go to article

Uc-160 Virtudoc - Cs4850/01 - Group 5a, Julian A. Pasencia, James Pruitt, Anthony Araujo, Bennett Zhu, William Stancil, Mohammad Umar, Joshua M. Zenn Apr 2022

Uc-160 Virtudoc - Cs4850/01 - Group 5a, Julian A. Pasencia, James Pruitt, Anthony Araujo, Bennett Zhu, William Stancil, Mohammad Umar, Joshua M. Zenn

C-Day Computing Showcase

VirtuDoc is a web application that allows patients to communicate with their doctors virtually. Once A patient has logged in or created an account, they can schedule a virtual appointment based on a time, symptoms, and doctor. VirtuDoc will also give the ability to patients to connect with their doctor over text chat leading up to their appointment. Virtual web-conferencing connects patients with doctors at the scheduled time of appointment. Additionally, doctors are capable of linking and displaying video content to patients based on the situation. Patients will also have access to records including post appointment information displaying the patient …

Go to article

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.

Go to article

Uc-153 Station 17, Andrew Legg, Linni Miller, Seth Byrd, Benjamin Rigg, Bonga Maswanganye Apr 2022

Uc-153 Station 17, Andrew Legg, Linni Miller, Seth Byrd, Benjamin Rigg, Bonga Maswanganye

C-Day Computing Showcase

Station 17 is a classic style First Person Shooter, where you are sent to clear out a derelict space station on a foreign planet's facility. Utilize your archetypal weapons and handy grapple shot to take down all the creatures the hive mind can throw at you while navigating levels within the facility.

Go to article

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.

Go to article

Uc-177 Day Easy Phone Application, Zeynep D. Birgili, Gabriel D. Lagares, Amadeus R. Martinez, Luis A. Perez, Jeremiah D. Roby Apr 2022

Uc-177 Day Easy Phone Application, Zeynep D. Birgili, Gabriel D. Lagares, Amadeus R. Martinez, Luis A. Perez, Jeremiah D. Roby

C-Day Computing Showcase

DayEasy is a phone application that is designed to promote clean eating and workout habits by providing services such as a calendar, workout planner, hydration and calorie journal, pedometer, fasting timer, and a meal planner. The application will have the functions to: • The user will be able to create an account. • The user will be able to change their password when they forget it. This will be done by sending an email. • The user will be able to save their sign in credentials. • The user will be able to view their daily schedule. • The user …

Go to article

Uc-188 It Management Dashboard, Sam Kharel, Robert Raheja, Kyle Hoganson, Jacob Hooker, Sky Kim Apr 2022

Uc-188 It Management Dashboard, Sam Kharel, Robert Raheja, Kyle Hoganson, Jacob Hooker, Sky Kim

C-Day Computing Showcase

This project lays the foundation for the continued collaboration of future students to build an open-source IT Dashboard through our sponsor at the Georgia Tech Research Institute. The goal is to work towards a functional dashboard that incorporates a complete toolkit for the management of day-to-day IT needs. Any company or individual should be able to obtain a copy of our project and format it to fit their needs. Our MIT License for the project will fall in line with these goals.

Go to article

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 …

Go to article

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 …

Go to article

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.

Go to article

Gr-210 - Detection Of Small Traffic Signs Using Image Super Resolution, Duleep Rathgamage Don Apr 2022

Gr-210 - Detection Of Small Traffic Signs Using Image Super Resolution, Duleep Rathgamage Don

C-Day Computing Showcase

In this study, we propose a novel method to detect small traffic signs that appeared in dashboard camera images. Our method is a framework consisting of the following three distinct algorithms. Grouping Window, Super Resolution Generative Adversarial Network (SRGAN), and a two-stage cascade classifier. Potential regions of interest (ROI) are extracted with Grouping Window which is a sophisticated modification of the traditional sliding window technique. The ROI are upsampled and enhanced using SRGAN. Then the traffic signs among high-resolution ROI are detected and identified by the two-stage cascade classifier of which the first stage filters the ROI that do not …

Go to article

Uc-194 Dream Catcher Combat Training, Ben D. Dodson Apr 2022

Uc-194 Dream Catcher Combat Training, Ben D. Dodson

C-Day Computing Showcase

Dream Catcher Combat Training is a challenge based game where the player will try go get the best score in 3 game modes across 3 maps. They'll swing, slash, jump, and dodge their way across each map on their way to get the best score they can.

Go to article

Uc-192 Smartchoice - Online Smart Retail For Food Delivery, John M. Rios-Burrows, Samuel J. Megginson, Malvika Shastry, Bhumika Shastry, Isaac T. Shadare, Munir Abdulkadir, Damaris Waymond Apr 2022

Uc-192 Smartchoice - Online Smart Retail For Food Delivery, John M. Rios-Burrows, Samuel J. Megginson, Malvika Shastry, Bhumika Shastry, Isaac T. Shadare, Munir Abdulkadir, Damaris Waymond

C-Day Computing Showcase

Our product is a website which extensively compares and analyzes food delivery fees from the top 3 online food websites which are GrubHub, UberEats, and Postmates and gives the best option for customers for their satisfaction. This encapsulates the idea of the Internet of Things in smart retail because we are building a technology service that helps users get the best food delivery deals in a trillion dollar industry by improving user experience as well as saving time, energy, and costs in this busy world. Financial motivation is the leading incentive for customers and clients to use our website as …

Go to article

Gc-166 - Mobile Edge Computing For Traffic Management Mechanism Using Haps (High Altitude Platform Station), Chaitanya Lakshmi Rayapalam, Gayatri Sravanthi Kuntla, Shalaka R. Kulal Apr 2022

Gc-166 - Mobile Edge Computing For Traffic Management Mechanism Using Haps (High Altitude Platform Station), Chaitanya Lakshmi Rayapalam, Gayatri Sravanthi Kuntla, Shalaka R. Kulal

C-Day Computing Showcase

MEC (Mobile Edge Computing) is a new paradigm to accelerate artificial intelligence (AI) applications by leveraging computing resources on the network edge, which can be used to improve intelligent transportation systems (ITS). HAPS is deployed in the stratosphere to provide wide coverage and strong computational capabilities. It is suitable to coordinate terrestrial resources and store the fundamental data associated with ITS-based applications. Performing task offloading and data caching at Roadside Units (RSUs) in a cooperative manner can reduce the heavy backhaul load and the retransmission of content downloading.

Go to article

Gc-171 - Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Suma Veeravenkatappa, Priyanka Pola, Anupama Nambanoor Kunnath, Jyothshna Macherla, Bharath Reddy Ghandu, Animesh Yadav Apr 2022

Gc-171 - Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Suma Veeravenkatappa, Priyanka Pola, Anupama Nambanoor Kunnath, Jyothshna Macherla, Bharath Reddy Ghandu, Animesh Yadav

C-Day Computing Showcase

This project investigates the use of deep learning for Heterogeneous robotics trajectory and communication planning which will be assisted by prioritizing by electroencephalogram (EEG) waves for the purpose of improvisation by different emotional responses of human subjects. The Convolutional Deep Learning  model is trained to recognize EEG reading corresponding to different usage of the heterogeneous robots which are then used as an additional(imitation) input to the Reinforcement Learning based robotic operation. This project mainly focuses on delivery drone and aerial base station drone operations from source to destination considering energy efficient path, shortest distance, charging points, and to avoid collisions. …

Go to article

Gr-164 - Rule-Based Table Parsing, Joel Stansbury Apr 2022

Gr-164 - Rule-Based Table Parsing, Joel Stansbury

C-Day Computing Showcase

In this paper, we provide a rule-based algorithm for parsing out tabular data from images. Recent advances in Graph Neural Networks have provided significant improvement over previously attainable accuracy and still outperform the best rule-based methodology. Nevertheless, light-weight pipelines, such as the model proposed here, have their utility in terms of ease of integration, low memory requirements, and no dependence on GPU availability. The proposed model achieves 22.3% accuracy on a subset of the PubTabNet dataset. The metric used to quantify accuracy refers to the ability to perfectly identify the number of column and row boundaries present in the image. …

Go to article

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.

Go to article

Ur-215 - Cryptanalysis Of Caesar Cipher With Answer Set Programming, Jonathan Omisore Apr 2022

Ur-215 - Cryptanalysis Of Caesar Cipher With Answer Set Programming, Jonathan Omisore

C-Day Computing Showcase

Answer Set Programming is an emerging paradigm in logical and declarative programming that finds all possible solutions to a particular logic problem given certain constraints and is widely used in AI for knowledge representation and reasoning. Answer Set Programming has been applied for the cryptanalysis of the Caesar cipher. Using Answer Set Programming, words have been both encrypted and decrypted with the Caesar cipher through AI knowledge representation and reasoning. It is shown that Answer Set Programming is viable for the field of cryptography.

Go to article

Uc-156 Total Health Telemedicine Application, Thomas A. Clifford, Mionne Gooch, Nicolas G. Capparelli, Darren Thompson Apr 2022

Uc-156 Total Health Telemedicine Application, Thomas A. Clifford, Mionne Gooch, Nicolas G. Capparelli, Darren Thompson

C-Day Computing Showcase

The Total Health Web Portal is a telemedicine application that allows users to orchestrate the process of a hospital visit without requiring anyone to leave their homes. The app assigns each user to 1 of 3 roles: client, doctor, or administrator. Clients are able to request appointments, upload documents, message their doctor, and join video calls for their appointments. The doctor may also message their clients and join video calls for their scheduled appointments. In addition, they may search through a list of their patients and dynamically add notes for each patient. Finally, the administrators have the responsibility of accepting/declining …

Go to article

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 …

Go to article

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.

Go to article

Gr-182 - Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore Apr 2022

Gr-182 - Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore

C-Day Computing Showcase

Climate change is happening, and many countries are already facing devastating consequences. Populations worldwide are adapting to the season's unpredictability they relay to lands for agriculture. Our first research was to develop an IoT Clusters Platform for Data Collection, analysis, and visualization. The platform comprises hardware parts with Raspberry Pi and Arduino clusters connected to multiple sensors. The clusters transmit data collected in real-time to microservices-based servers where the data can be accessed and processed. Our objectives in developing this platform were to create an efficient data collection system, relatively cheap to implement and easy to deploy in any part …

Go to article

Gr-232 - Accident Prediction Using Big Data Analysis Using Ensemble Learning, Jui Mhatre, Sai Harshitha Achuta, Nikhitha Polavarapu, Dhanush Nagandla, Chandana Saribala Apr 2022

Gr-232 - Accident Prediction Using Big Data Analysis Using Ensemble Learning, Jui Mhatre, Sai Harshitha Achuta, Nikhitha Polavarapu, Dhanush Nagandla, Chandana Saribala

C-Day Computing Showcase

Many country wide internal roads and national highways have dim lights or no street lights all over the world. We usually observe some turns on roads more prone to accidents than other places. In our paper we used Logistic Regression and Decision Trees that together build an Ensemble learning for predicting these accident zones. For validating the results, five evaluation metrics such as Accuracy, Precision, f-measures, Re-call and Area under curve are used. State of art model for US accident dataset gives F1 score of 57%. We are implementing using ensemble learning wherein logistic regression gives F1-score of 53%.

Go to article

Uc-152 Posture Change In Immersive Experiences Using A Wearable Chair, Mason T. Prather, Daniel Bodien Apr 2022

Uc-152 Posture Change In Immersive Experiences Using A Wearable Chair, Mason T. Prather, Daniel Bodien

C-Day Computing Showcase

The goal of this project is to develop methods to detect a user's posture in immersive experiences, particularly for standing position and sitting position. This will give developers a tool for changing a user’s experience in relation to their current posture. For example, a user can walk to a car, sit down, and drive the car. Detecting this posture change will add a natural gesture-based trigger for making the experience more immersive.

Go to article

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 …

Go to article

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 …

Go to article

Ur-195 - Replicating Touch With Mq Telemetry Transport (Mqtt) And Circuit Python: A Case Study Of Internet-Of-Things (Iot) Application, Damaris Waymond Apr 2022

Ur-195 - Replicating Touch With Mq Telemetry Transport (Mqtt) And Circuit Python: A Case Study Of Internet-Of-Things (Iot) Application, Damaris Waymond

C-Day Computing Showcase

This project investigates how haptics is currently being used to enable remote intimacy. Specifically, I attempt to use the MQTT protocol, along with wi-fi/BLE-enabled hardware running on Circuit Python, to replicate a kiss in real-time. Further, the lack of apps and/or tech that’s inclusive the those who feel socially isolated but still yearn for intimacy served as motivation for this research. Primary methods included sentiment analysis done using the Twitter API along with the Textblob Python library based on queries including strings like “hickey” and “sensitive neck.” Moreover, secondary research led us to Kissenger: a product by Emma Y. Zhang …

Go to article

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?

Go to article

Building A Foundation For The Southern Bc Marine Spatial Planning Program, David Angus, Janine Beckett Apr 2022

Building A Foundation For The Southern Bc Marine Spatial Planning Program, David Angus, Janine Beckett

Salish Sea Ecosystem Conference

“Building a Foundation for the Southern BC Marine Spatial Planning Program”. On the south coast of British Columbia (BC), impacts from climate change, pollution from industrial and urban development, and effects of resource extraction are impacting species and their habitat, affecting food security and cultural vitality for Indigenous peoples, and impacting employment in traditional coastal sectors such as fisheries and forestry. Marine spatial planning (MSP) is widely considered a viable strategy for balancing economic development and conservation, recognizing and considering cumulative impacts, and managing conflicts amongst uses. However, given the social and economic complexities of the south coast of BC, …

Go to article

Coastal Restoration Toolkit - An Online Resource To Launch A Restoration Project In Your Community, Elsa Schwartz Apr 2022

Coastal Restoration Toolkit - An Online Resource To Launch A Restoration Project In Your Community, Elsa Schwartz

Salish Sea Ecosystem Conference

Staff at public agencies and non-profit organizations often receive phone calls or applications from individuals outside the professional restoration community (e.g. NGOs, municipalities, or individuals) who have a sincere desire to restore local habitats, but have difficulties figuring out where to begin. Restore America’s Estuaries has developed an online “Toolkit” (RestoreYourCoast.org) to support coastal residents and citizen scientists who identify problems with their local coastal environment and have an interest in transforming the idea into a project. The Toolkit enables community members who aspire to improve their local ecosystem, but who need the information and guidance to go from project …

Go to article

First Prev Next Last