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Full-Text Articles in Computer Sciences
Gr-151 - Performance Analysis And Review Of Encrypted Dns Protocols, Matt Williamson
Gr-151 - Performance Analysis And Review Of Encrypted Dns Protocols, Matt Williamson
C-Day Computing Showcase
Data encryption has quickly become an essential service of the internet. When it was first developed, data encryption and privacy were not prioritized. However, as the internet has grown and globalized, ensuring data privacy has become a prevailing requirement for conducting all types of business over the internet. Since privacy was an afterthought in the early development of the internet, many technologies have been built on top of existing ones in order to rectify security holes inherent in design. One of the more recent areas where this is happening is Domain Name Resolution. Until recently, the mechanism of resolving domain …
Gr-167 - Non-Invasive Glucose Monitoring System- Glucocheck, Priyanka Pola, Oluwaseyi Falaiye
Gr-167 - Non-Invasive Glucose Monitoring System- Glucocheck, Priyanka Pola, Oluwaseyi Falaiye
C-Day Computing Showcase
There are now competing mechanisms for encrypting DNS. I plan to explore two of the most common, DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT). In particular, I plan to examine the performance of each method and compare/contrast them. However, performance alone can’t be the ultimate identifier when comparing encryption methods. Therefore, I will also do a review of each method with the goal of determining how they function and where their strengths and weaknesses lie.
Gr-182 - Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore
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 …
Gr-190 - Drl-Fhss: Dynamic Reinforcement Learning Based Frequency Hopping Spread Spectrum Algorithm For Maximizing Data Rate And Minimizing Collision In Edge-Enabled Lorawan, Jui Mhatre
C-Day Computing Showcase
The Last decade saw new advances in LoRaWAN for IoT devices. Recent research in this field is as made it a game-changer for the IoT world. Lora, owing to its ability to establish a long-range communication using low power, has proved upper hand over its counterparts such as Wifi, Bluetooth, or cellular network. LoRa uses much lower bandwidth and as a result, network and power demands reduce. LoRa is suitable for short and periodic communications. But due to lower bandwidth and consequently lower transmission rates and low data volumes, it is not suitable for real-time communications. Frequency-hopping spread spectrum(FHSS) helps …
Gr-210 - Detection Of Small Traffic Signs Using Image Super Resolution, Duleep Rathgamage Don
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 …
Gr-214 - Extracting Human Factors From Goods To Person Order Picks, Alan Norkham
Gr-214 - Extracting Human Factors From Goods To Person Order Picks, Alan Norkham
C-Day Computing Showcase
This project aims to extract the Human Factors (HF) from Goods to Persons Order Picks (OP). We used live data from a known functioning site. The data was then cleaned and visualized. After many different approaches, a hypothesis was formed. We used a deterministic approach to the data and applied Time Series Analysis to an Auto Regression Model. The predicted results yielded slight, but major differences in the initial visualization.
Uc-152 Posture Change In Immersive Experiences Using A Wearable Chair, Mason T. Prather, Daniel Bodien
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.
Uc-153 Station 17, Andrew Legg, Linni Miller, Seth Byrd, Benjamin Rigg, Bonga Maswanganye
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.
Uc-160 Virtudoc - Cs4850/01 - Group 5a, Julian A. Pasencia, James Pruitt, Anthony Araujo, Bennett Zhu, William Stancil, Mohammad Umar, Joshua M. Zenn
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 …
Uc-177 Day Easy Phone Application, Zeynep D. Birgili, Gabriel D. Lagares, Amadeus R. Martinez, Luis A. Perez, Jeremiah D. Roby
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 …
Uc-188 It Management Dashboard, Sam Kharel, Robert Raheja, Kyle Hoganson, Jacob Hooker, Sky Kim
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.
Uc-194 Dream Catcher Combat Training, Ben D. Dodson
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.
Ur-215 - Cryptanalysis Of Caesar Cipher With Answer Set Programming, Jonathan Omisore
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.
Gr-078 - Ai For Social Good: Assisting The Elderly/Visually Impaired In Reading Prescription Labels, Stacie P. Allen, Jessica Barnes, Lauren Pope, Chennelle Hill
Gr-078 - Ai For Social Good: Assisting The Elderly/Visually Impaired In Reading Prescription Labels, Stacie P. Allen, Jessica Barnes, Lauren Pope, Chennelle Hill
C-Day Computing Showcase
No abstract provided.
Gr-083 - Analysis Of Malware Detection Techniques, Joel Stansbury, Robert White, Keifer Bazan
Gr-083 - Analysis Of Malware Detection Techniques, Joel Stansbury, Robert White, Keifer Bazan
C-Day Computing Showcase
No abstract provided.
Gr-114 - Decentralized Network Architecture On Git Platform, Jonathan D. Lashgari, Kiran Mai M. Narnavaram, Rohit Gowru
Gr-114 - Decentralized Network Architecture On Git Platform, Jonathan D. Lashgari, Kiran Mai M. Narnavaram, Rohit Gowru
C-Day Computing Showcase
No abstract provided.
Gr-104 - Diabetic Retinopathy Detection Using Deep Neural Networks Without Pre-Processing Techniques, Suman Bharti, Swetha Pailla
Gr-104 - Diabetic Retinopathy Detection Using Deep Neural Networks Without Pre-Processing Techniques, Suman Bharti, Swetha Pailla
C-Day Computing Showcase
No abstract provided.
Gr-121 - Binary Image Processing For Computation Of Connected Components, Image Holes And Euler Number Using Graph Theory, Sravya Sabbu, Prasuna Reddy Salepela, Yamini Hanisha Talluri, Sruthi Vaidyula
Gr-121 - Binary Image Processing For Computation Of Connected Components, Image Holes And Euler Number Using Graph Theory, Sravya Sabbu, Prasuna Reddy Salepela, Yamini Hanisha Talluri, Sruthi Vaidyula
C-Day Computing Showcase
No abstract provided.
Gr-129 - Using Machine Learning Techniques For Early Alzheimer’S Disease Detection, Sudarshan Badireddi, Shalaka Kulal, Gayatri Sravanthi Kuntla, Travis Meeks
Gr-129 - Using Machine Learning Techniques For Early Alzheimer’S Disease Detection, Sudarshan Badireddi, Shalaka Kulal, Gayatri Sravanthi Kuntla, Travis Meeks
C-Day Computing Showcase
No abstract provided.
Gr-131 - Privacy Preserved Federated Learning Approach For Diabetic Retinopathy Detection, Mohammad Nasajpour
Gr-131 - Privacy Preserved Federated Learning Approach For Diabetic Retinopathy Detection, Mohammad Nasajpour
C-Day Computing Showcase
No abstract provided.
Gr-095 - Using Machine Learning To Detect Alzheimer's Disease, Rhema Razzak, Yang Fu
Gr-095 - Using Machine Learning To Detect Alzheimer's Disease, Rhema Razzak, Yang Fu
C-Day Computing Showcase
No abstract provided.
Gr-077 - A Robust Federated Machine Learning Framework For Security Analytics In Solar Farms, Jiaming Li
Gr-077 - A Robust Federated Machine Learning Framework For Security Analytics In Solar Farms, Jiaming Li
C-Day Computing Showcase
No abstract provided.
Gr-118 - Sentiment Analysis On Hotel Review, Navya Pallapothu, Aravinda Pandanaboyana, Dilip Kumar
Gr-118 - Sentiment Analysis On Hotel Review, Navya Pallapothu, Aravinda Pandanaboyana, Dilip Kumar
C-Day Computing Showcase
No abstract provided.
Gr-117 - Transfer Learning With Synthetic Data Improves The Performance Of Fashion Apparel Pattern Classification And Neckline Detection, Tong Chen, Luke Cranfill, John Morris
Gr-117 - Transfer Learning With Synthetic Data Improves The Performance Of Fashion Apparel Pattern Classification And Neckline Detection, Tong Chen, Luke Cranfill, John Morris
C-Day Computing Showcase
No abstract provided.
Gr-101 - Non-Invasive Glucose Monitoring System Using Raspberry Pi Four, Priyanka Pola
Gr-101 - Non-Invasive Glucose Monitoring System Using Raspberry Pi Four, Priyanka Pola
C-Day Computing Showcase
No abstract provided.
Gr-127 - Iot Clusters Platform For Data Collection, Analysis, And Visualization, Soin Abdoul Kassif Baba M Traore
Gr-127 - Iot Clusters Platform For Data Collection, Analysis, And Visualization, Soin Abdoul Kassif Baba M Traore
C-Day Computing Showcase
No abstract provided.
Gr-130 - Prediction Of Heart Disease With Machine Learning Techniques, Marcella Araujo, Lauren Pope, Stephen Still, Cynthia Yannone
Gr-130 - Prediction Of Heart Disease With Machine Learning Techniques, Marcella Araujo, Lauren Pope, Stephen Still, Cynthia Yannone
C-Day Computing Showcase
No abstract provided.
Ur-120 - Analyzing Adversarial Attacks In Machine Learning Models, Niti Mirkhelkar
Ur-120 - Analyzing Adversarial Attacks In Machine Learning Models, Niti Mirkhelkar
C-Day Computing Showcase
No abstract provided.
Ur-102 - Auto Grader For Unstructured Open-Ended Questions Using Natural Language Processing And Recommender Systems, Anna Furrow
Ur-102 - Auto Grader For Unstructured Open-Ended Questions Using Natural Language Processing And Recommender Systems, Anna Furrow
C-Day Computing Showcase
No abstract provided.
Ur-124 - Breastnet; Ensemble Deep Learning, Cora L. Meador, Ryan Deem
Ur-124 - Breastnet; Ensemble Deep Learning, Cora L. Meador, Ryan Deem
C-Day Computing Showcase
No abstract provided.