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Full-Text Articles in Computer Sciences
Ur-294 A Quantum Arithmetic Logic Unit, Ethan Butler, Bryson Phillip, Benjamin G. Ulrich, David Carroll
Ur-294 A Quantum Arithmetic Logic Unit, Ethan Butler, Bryson Phillip, Benjamin G. Ulrich, David Carroll
C-Day Computing Showcase
This paper demonstrates that a quantum version of a classical Arithmetic Logic Unit (ALU) can be implemented on a quantum circuit. It would perform the same functions as the classical ALU, with the possibility of adding quantum functions in conjunction. To create the quantum ALU, we utilized IBM’s Qiskit Python package and JuypterLab. We also used the IBM Quantum Lab to run the circuit. We believe that a quantum ALU has the potential to be faster than its classical counterpart and the ability to calculate quantum specific operations. The simple classical functions translated to a quantum circuit show a promising …
Ur-295 Data Collection In Parkinson's Vr, Neil E. Weingarten, Ian Mcconnell
Ur-295 Data Collection In Parkinson's Vr, Neil E. Weingarten, Ian Mcconnell
C-Day Computing Showcase
This project is meant to show an addition to a Parkinson's simulation within VR where there are now different methods of data collection that are collected in-game. These data points are tracked and logged during gameplay, and are meant to allow researchers to make more effective use of the simulation as a tool for data collection. An example demo of the game and example files that were generated during gameplay are provided.
Gr-183 - Deep Learning Search Engine, Malik Naik Mohammed, Madhusudhan Rao Atmakuri, Yves Junior Kwame Kamgaing, Sai Charan Gandi
Gr-183 - Deep Learning Search Engine, Malik Naik Mohammed, Madhusudhan Rao Atmakuri, Yves Junior Kwame Kamgaing, Sai Charan Gandi
C-Day Computing Showcase
Deep Learning Information Retrieval (IR) is a booming area of research. Research in this field focuses on retrieving the most relevant search results based on the meaning of the search result, not just the keywords. The state-of-the-art technologies generally involve taking existing deep neural networks (such as Universal Sentence Encoder, or Google’s BERT), and training them to rank search results. However, some search engines make use of text matching algorithms (like Best Match 25). These algorithms work by taking into account the term frequency and other word patterns and work surprisingly well. The most common problem when it comes to …
Gr-181 - Breast Cancer Patient Survival Prediction With Clinical Data And Computed Tomography (Ct) Image Datasets, Malik Naik Mohammed
Gr-181 - Breast Cancer Patient Survival Prediction With Clinical Data And Computed Tomography (Ct) Image Datasets, Malik Naik Mohammed
C-Day Computing Showcase
No abstract provided.
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
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 …
Ur-195 - Replicating Touch With Mq Telemetry Transport (Mqtt) And Circuit Python: A Case Study Of Internet-Of-Things (Iot) Application, Damaris Waymond
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 …
Gc-166 - Mobile Edge Computing For Traffic Management Mechanism Using Haps (High Altitude Platform Station), Chaitanya Lakshmi Rayapalam, Gayatri Sravanthi Kuntla, Shalaka R. Kulal
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.
Gr-148 - Effect Of Vedic Meditative Practices On Heart Coherence: A Scientific Study Using Smarthealth Technology., Sreekanth Gopi
Gr-148 - Effect Of Vedic Meditative Practices On Heart Coherence: A Scientific Study Using Smarthealth Technology., Sreekanth Gopi
C-Day Computing Showcase
Vedic meditation techniques have been shown to improve well-being, mood, attention, mental focus, and stress tolerance in the past. Vedic rituals, meditations, and yogic breathing help in reducing the symptoms of mental disorders and their physiological effects. One of the most overlooked aspects of public health is mental health, and the costs of mental illnesses are highly underestimated. On a global scale, more than 25 percent of the population are affected by stress, anxiety, and depression disorders. Untreated mental illness costs the United States up to $300 billion. Stress, a major cause of mental illness, affects all systems of the …
Gr-164 - Rule-Based Table Parsing, Joel Stansbury
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. …
Gr-175 - Credit Default Prediction Of Money Borrowing Companies Using Pyspark Framework, Jitendra Sai Kota, Mallika Boyapati
Gr-175 - Credit Default Prediction Of Money Borrowing Companies Using Pyspark Framework, Jitendra Sai Kota, Mallika Boyapati
C-Day Computing Showcase
Credit-lending companies have resorted to the use of Machine Learning algorithms in the recent past to predict the probability of default of a customer for future credit lending purposes. Most credit companies view this as a binary classification problem of predicting whether an individual would default or not. Companies have been using models of Logistic Regression for a long time because of the explainability of the final feature set used in modeling. Explainability brings transparency to every stakeholder involved in the process. Other models like Neural Nets have achieved better accuracy scores, but the features generated by them are not …
Gr-196 - Automatically Improve Writing For Research Papers Using Transformer Based Deep Learning, Srivarna Settisara Janney
Gr-196 - Automatically Improve Writing For Research Papers Using Transformer Based Deep Learning, Srivarna Settisara Janney
C-Day Computing Showcase
Research papers are generally required to be written in English. It is quite a challenge for non-English speaking researchers to write high quality research papers. Our research focuses on designing, implementing and experimenting with novel transformer based deep learning strategies that can automatically improve the quality of writing for research papers in different domains.
Gr-232 - Accident Prediction Using Big Data Analysis Using Ensemble Learning, Jui Mhatre, Sai Harshitha Achuta, Nikhitha Polavarapu, Dhanush Nagandla, Chandana Saribala
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%.
Uc-156 Total Health Telemedicine Application, Thomas A. Clifford, Mionne Gooch, Nicolas G. Capparelli, Darren Thompson
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 …
Uc-158 Portable, To-Go, Security System, Luben Jelezarov, Julia Varzari, Zack Hixon, Marcelle Al Noukimi, Mohammed Al Bayati
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 …
Uc-161 Cybersecurity Capstone, Magan Silwal, Ryan Duncan, Evelyn Cronnon, Scott Weaver, Ihad Eid
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.
Uc-168 Telemedic Application, Yasha Jones, Nate Schneider, Martin Nguyen, Kate Fisher, My Anh Huynh, Shailesh Thapa, Mike Lin
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.
Uc-172 Grizzly's Maw - Gameplay Trailer, Allen J. Harris
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
Uc-185 Gtri: Analysis Of Alternatives (Team 2), Christopher Coleman, Gurpreet Kaur, Jonathan Gamez Duarte, Erick Diaz, Samuel Foster
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 …
Uc-186 Plat-N-Run, Alan J. Holt
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.
Uc-193 Goldmind, Jacob D. Matos, Roman M. Mazzoni, Leroyia Y. Payne, Devon Adams
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?
Uc-204 Locovents! Events In Your Location., Nrip S. Basnet, Daniel Bodien, Andrew Arundell, Jackson Mchale, Ode Miller
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 …
Uc-209 Remote Presence Robot, Andrew Goeden, Hajar Zemzem, Pamir Ahmad, Tam M. Dang, Aaron Newson, Anna Song, Mohammed Rehaan
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 …
Uc-223 Gtri: Analysis Of Alternatives (Team 3), Damian G. Coffia, Elijah Brooks, Keegan Fleeman, Sean Richards
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.
Ur-159 - A Systematic Literature Review On Dark Web, Shahriar Sobhan, Timothy Williams, Edwin Mathew, Juanjose Rodriguez-Cardenas, Jack Wright, Md Jobair Hossain
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 …
Ur-191 - Automated Image Colorization Through Efficientnet, Troy W. Cope
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 …
Uc-236 Energy Crisis 1994, Mason T. Prather
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.
Ur-203 - Subject Identification From Off-Angle Iris Image Using Machine Learning, David E. Chavarro, Mahmut Karakaya
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.
Gc-149 - S'Eyed'kick: Ai Powered Reading Assistant And Translator, Stacie P. Allen, Jessica Barnes, Chenelle Hill, Lauren Pope, Adetayo A. Adejuwon
Gc-149 - S'Eyed'kick: Ai Powered Reading Assistant And Translator, Stacie P. Allen, Jessica Barnes, Chenelle Hill, Lauren Pope, Adetayo A. Adejuwon
C-Day Computing Showcase
According to the Centers for Disease Control (CDC), roughly 12 million people in the United States above the age of 40 are visually impaired. In adults 18 years and older, visual impairment is one of the top 10 disabilities. It can have an enormous effect on one’s independence and quality of life. Assistive technology through artificial intelligence (AI) can support the visually impaired in everyday life functions. Our application is specifically designed for reading text such as small print. After the user selects the language for translation out of 34 choices and takes a picture of the text with the …
Gc-155 - Runbook Automation, Harshitha K. Gamini, Nireesh Paidi, Sai Keerthi Seelamanthula, Prakash Batchu, Furkan A. Burgal
Gc-155 - Runbook Automation, Harshitha K. Gamini, Nireesh Paidi, Sai Keerthi Seelamanthula, Prakash Batchu, Furkan A. Burgal
C-Day Computing Showcase
Runbook is common terminology used in every IT organization which is maintained in Excel for taking the components to production in a particular time frame after making an agreement with the business for the downtime of systems (Freeze Period). Runbook Automation is a web application for delivering and tracking deliverables to production. It acts as an interface between Infrastructure teams responsible for deployments and runbook coordinator, development teams, and Business Analysts. The application consists of a home page consisting of a Dashboard where the user can edit the profile, and other employee tracking details and timesheets. In Employee tracking, the …
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
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. …