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

Digital Commons Network™

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

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 112681 - 112710 of 1113958

Full-Text Articles in Entire DC Network

Fall 2023 Issue: Authors' Biographies, Antonina Lukenchuk Nov 2023

Fall 2023 Issue: Authors' Biographies, Antonina Lukenchuk

i.e.: inquiry in education

No abstract provided.

Go to article

Conducting Participatory Research Methods Online: A How-To Guide, Brittany Arthur, Batsheva Guy, Nancy Rogers Nov 2023

Conducting Participatory Research Methods Online: A How-To Guide, Brittany Arthur, Batsheva Guy, Nancy Rogers

i.e.: inquiry in education

The pandemic challenged many of us as researchers, requiring that we reflect upon our methods and make modifications to allow for online facilitation. As researchers who traditionally use Participatory Research Methods (PRMs), we were significantly challenged, to reflect on our approach and the ways in which we may remain true to the spirit of PRMs. Through this article, we provide an overview of how we modified two PRMs, Group Level Assessment (GLA) and Photovoice. Additionally, we provide a debrief on the aspects of PRMs we intentionally reflected on as part of our modification process; in particular, how we upheld and …

Go to article

The Effect Of Gamification On Pre-Service Teachers' Technology Acceptance, İsmail Yildiz, Ersin Topçu, Esra İzmi̇r Nov 2023

The Effect Of Gamification On Pre-Service Teachers' Technology Acceptance, İsmail Yildiz, Ersin Topçu, Esra İzmi̇r

i.e.: inquiry in education

This study delves into the transformative potential of gamification within the realm of education by integrating game elements into a lesson process primarily designed for non-gaming purposes and contexts. In this study, gamification was created by incorporating game elements such as points, badges and leaderboards into a lesson process designed for a non-game purpose and context. The study investigated the effect of gamification on pre-service social studies teachers' technology acceptance. "Technology Acceptance Scale for Teachers" (T-TAM) and structured interview were used to collect data. The study utilized a quasi-experimental design with a pretest-posttest control group designed to test the cause-and-effect …

Go to article

Teachers And Leaders’ Perspectives On The Knowledge Management Of Schools Through Teachers’ Mobility, Esen Altunay, Evrim Erol Nov 2023

Teachers And Leaders’ Perspectives On The Knowledge Management Of Schools Through Teachers’ Mobility, Esen Altunay, Evrim Erol

i.e.: inquiry in education

The purpose of this study was to examine the effects of teacher mobility on the knowledge management based on the experiences of teachers and school principals of primary and secondary schools in Turkey. The mobility of teachers in Turkey is fairly high, which makes it significant to study in terms of school management. The analysis of qualitative interviews with thirty participants revealed several meaningful themes pertaining to the advantages and disadvantages of teacher mobility in terms of knowledge management, as well as the strategies to increase the contributions of teachers to knowledge management of the schools that they have to …

Go to article

Gr-405 Boosting Clickbait Detection Through Semantic Insights And Attention-Driven Neural Network, Lokesh Meesala Nov 2023

Gr-405 Boosting Clickbait Detection Through Semantic Insights And Attention-Driven Neural Network, Lokesh Meesala

C-Day Computing Showcase

The digital age has witnessed an explosion of online content, making it increasingly challenging for users to differentiate between reliable information and clickbait, which is often misleading or sensationalized. Clickbait contributes to the spread of misinformation, phishing attacks, and illegal marketing practices, and manipulates users’ decisions. Even from a business standpoint a clickbait might not lead to a conversion, A user might land on the page by following a clickbait and get frustrated and close the page. Additionally, with the increase in the usage of large language models for content writing it is even more challenging for the general user …

Go to article

Egr-490 Importance Of Food Recognition On Blood Glucose Monitoring, Afnan Crystal Nov 2023

Egr-490 Importance Of Food Recognition On Blood Glucose Monitoring, Afnan Crystal

C-Day Computing Showcase

Maintaining blood sugar under control requires eating a healthy and balanced diet, exercising, and adhering to medications. Dietary consumption must be under strict control for diabetic patients’ general health. Traditional techniques for monitoring dietary consumption include recollection and manual record-keeping, which can be tedious and prone to mistakes. However, automated technologies for maintaining records that make use of computer vision, such as food image recognition systems, can streamline chronic health management for diabetics. These solutions seek to efficiently track daily food intake and consequential calories to facilitate and encourage lifestyle improvements. With this goal in mind, we design a Machine …

Go to article

Gc-448 Project Title: Discover, Learn, And Protect: A Mobile App For Informal Stem Learning About Local Biodiversity And Environmental Issues., Elvin Mccray, David Y. Appah, Adedunmola Banu, Binh Tran, Zenya Tucker Nov 2023

Gc-448 Project Title: Discover, Learn, And Protect: A Mobile App For Informal Stem Learning About Local Biodiversity And Environmental Issues., Elvin Mccray, David Y. Appah, Adedunmola Banu, Binh Tran, Zenya Tucker

C-Day Computing Showcase

Our team assignment for this project was to create a mobile application that offers informal STEM learning about local biodiversity and environmental issues. Dr. Ying Xie, Professor in the College of Computing and Software Engineering (CCSE) is the owner of this project, who also laid out required features and provided necessary information, guidance, and advice for the project development. The core function of this application is to empower users to explore, identify and gain insights into the plant and animal species native to their region. Leveraging the capabilities of their smartphone’s camera, users can effortlessly scan, record, or locate local …

Go to article

Gc-511 Predicting Stock Prices Using Different Machine Learning And Deep Learning Models, Afnan Crystal, Rohith Sundar Jonnalagadda, Hrithik Singh Chandel Nov 2023

Gc-511 Predicting Stock Prices Using Different Machine Learning And Deep Learning Models, Afnan Crystal, Rohith Sundar Jonnalagadda, Hrithik Singh Chandel

C-Day Computing Showcase

Our project focuses on the challenge of predicting the daily closing prices and stock movements of Amazon, one of the world's largest and most dynamic corporations. Amazon's stock prices are known for their unpredictability and are influenced by a multitude of intricate factors. Our project aims to provide accurate and reliable forecasts for Amazon's stock prices, going beyond mere predictions. The analysis employs a comprehensive approach, comparing the performance of three distinct machine learning and deep learning models: Linear Regression, Support Vector Machine (SVM), and Multi-Layered Perceptron (MLP) for financial time series data. The dataset we used spans from January …

Go to article

Uc-491 Spectrum Analysis Cli Tool, Vitor B. Santos, Trey Redden, Sam Corella, Christopher Flores Santos, Jonathan Glennon Nov 2023

Uc-491 Spectrum Analysis Cli Tool, Vitor B. Santos, Trey Redden, Sam Corella, Christopher Flores Santos, Jonathan Glennon

C-Day Computing Showcase

The Spectrum Analysis CLI Tool takes in .mp4 recordings of a Spectrum Analyzer, converts them programmatically into values the application can understand and outputs this data into a .csv file. This file can be parsed/filtered by the user with commands during upload of the .mp4 recording, or anytime after the recording has been processed.

Go to article

Gr-515 Developing A Conversational Chatbot Using Seq2seq Model With Tensorflow, Drashtee Parmar, Ruthvik R. Anugu Nov 2023

Gr-515 Developing A Conversational Chatbot Using Seq2seq Model With Tensorflow, Drashtee Parmar, Ruthvik R. Anugu

C-Day Computing Showcase

Sequence-to-Sequence (Seq2Seq) modeling, when paired with Long-Short-Term Memory (LSTM) units, has demonstrated significant potential in developing conversational chatbot capable of participating in text-based conversation and providing human-like responses.The Cornell Movie-Dialogs Corpus will be used to extract dialogues, preprocess the data, and then use the output to train the Seq2Seq model. Our contributions include exploring the application of LSTM for Natural Language Generation (NLG) and creating a comprehensive chatbot system. According to the results of the experiment, our method works well for coming up with thoughtful answers during a conversation.

Go to article

Ur-409 Enhancing Aircraft Electronic Warfare Testing With Automated Rf Spectrum Analysis, Anthony De Santiago, Matthew T. Morgan, Geonhyeong Kim, Jalon L. Bailey, Camille Reaves Nov 2023

Ur-409 Enhancing Aircraft Electronic Warfare Testing With Automated Rf Spectrum Analysis, Anthony De Santiago, Matthew T. Morgan, Geonhyeong Kim, Jalon L. Bailey, Camille Reaves

C-Day Computing Showcase

Military test ranges utilize a variety of Radio Frequency (RF) threat systems, to assess the effectiveness of Electronic Warfare (EW) systems during flight tests. A component of this process involves monitoring RF transmissions. Traditionally, system engineers at Robins Airforce Base have manually analyzed video from spectrum analyzers to confirm properties of specific threat systems. To streamline this analysis, our team's aim was to develop an automated solution for RF spectrum analysis. We employed a custom YOLO V8 model to isolate the analyzer screen and used a novel combination of frame differencing, summing, and agglomerative clustering techniques to extract relevant properties …

Go to article

Gc-427 Elevating Ai Research: Creating A Website For Kennesaw State University's Ai Lab, Shashank Gadhe Nov 2023

Gc-427 Elevating Ai Research: Creating A Website For Kennesaw State University's Ai Lab, Shashank Gadhe

C-Day Computing Showcase

The project titled "Elevating AI Research: Creating a website for Kennesaw State University's AI Lab" is dedicated to developing an HTML5 Content Management System website for Kennesaw State University. This website, AILab.kennesaw.edu, serves as a dedicated platform to showcase lab facilities, ongoing projects, and cutting-edge research, with a focus on promoting global AI research and education. Our target audience encompasses university students, faculty, AI researchers, and organizations with an interest in AI innovation.Preliminary findings support our goal: engaging platforms showcasing AI Lab research effectively.The incorporation of admin access empowers university professors to customize content, thus enhancing adaptability and personalization. These …

Go to article

Gc-447 Bio-Contribute, Tejaswi Divi, Kiranmayi Tandra, Sainath Reddy Bheemireddy, Chandrasekhar Reddy Bheemireddy, Sharanya Chinthakuntla Nov 2023

Gc-447 Bio-Contribute, Tejaswi Divi, Kiranmayi Tandra, Sainath Reddy Bheemireddy, Chandrasekhar Reddy Bheemireddy, Sharanya Chinthakuntla

C-Day Computing Showcase

The "Bio-Contribute" challenge is an ambitious initiative aimed at revolutionizing the way facts are generated and shared in lifestyle sciences. Bio-Contribute encompasses various aspects, including design, development, and facts collection. It leverages Figma for innovation, ensuring a user-friendly and collaborative interface. The challenge has completed the frontend development section, permitting customers to carry out various movements, which include content advent and information seizure with the help of the GPT-3 era. This report gives an in-depth analysis of the venture's progression, strategies used, and initial outcomes, demonstrating its potential to convert statistics introduction and sharing in the discipline of lifestyles sciences.

Go to article

Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada Nov 2023

Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada

C-Day Computing Showcase

Cardiovascular diseases account for nearly a third of global deaths, posing a challenge that machine learning can help address. However, data privacy concerns hinder the direct application of conventional machine learning in this sensitive area. This paper explores Federated Learning (FL) as a decentralized strategy to mitigate these concerns by allowing for local data processing. FL's design ensures that only processed updates, not raw data, are shared with a central server, maintaining individual privacy. Our research assesses FL's practicality and effectiveness in predicting heart disease while adhering to ethical and legal norms. We build upon previous studies, such as Wanyong …

Go to article

Gr-422 Simplified Named Entity Recognition Using Context Free Grammar, Sai Chandana Koganti, Varshini Yaganti, Vinesh Babu Yaganti, Surya Kiran Katragadda, Pavani Thulluru Nov 2023

Gr-422 Simplified Named Entity Recognition Using Context Free Grammar, Sai Chandana Koganti, Varshini Yaganti, Vinesh Babu Yaganti, Surya Kiran Katragadda, Pavani Thulluru

C-Day Computing Showcase

Named Entity Recognition (NER) is a crucial component of natural language processing. Although Spacy is a popular tool for NER, it faces challenges in accurately identifying individual's names. In response, Context-Free Grammar (CFG) is introduced as a complementary solution to augment Spacy's NER functionality, with the specific objective of enhancing the precision of person name recognition. This project focuses on formulating CFG rules and applying them to a sample text, showcasing improved NER accuracy. By combining the strengths of Spacy and CFG, we aim to address the limitations of current NER systems, particularly in recognizing individual's names, and contribute to …

Go to article

Gr-485 Email Summarizer And Action Item Extractor, Ryan Deem, Eric C Weese Nov 2023

Gr-485 Email Summarizer And Action Item Extractor, Ryan Deem, Eric C Weese

C-Day Computing Showcase

Countless emails are sent and received daily, and a lot of time is spent reading through and understanding the content of these emails. This project aims to increase the efficiency of reading and gathering relevant email information. Our solution includes two parts: abstractive text summarization and action item extraction. Currently, these two items are common in different domains, however, they have not been combined and used with email understanding. Abstractive text summarization is the process of outputting the ideas of the emails using different words without giving quotes from the document. In this way, a person would be able to …

Go to article

Gr-519 Meditation As An Intervention To Improve Student Attention An Eeg Study Based On Machine Learning Prediction And Spectral Ratio Analysis, Sreekanth Gopi Nov 2023

Gr-519 Meditation As An Intervention To Improve Student Attention An Eeg Study Based On Machine Learning Prediction And Spectral Ratio Analysis, Sreekanth Gopi

C-Day Computing Showcase

This research aims to develop a machine learning model using EEG data to identify student inattention, serving as an early intervention tool. Attention deficit, influenced by social media, adversely affects student performance. ADHD, characterized by inattention, hyperactivity, and impulsivity, is linked to academic challenges. Early detection in academics is crucial. A Machine Learning model was designed, and trained on an attention dataset with 34 EEG recordings of young adults. The raw EEG data was pre-processed and filtered, ICA was applied, and spectral analysis was done. Guided meditation with music was developed as an intervention to improve attention. EEG recordings from …

Go to article

Ur-407 Illusion Of Weight: The Use Of Tactile Glove For Muscle Exercise For Elders In Virtual Gym Experience, Johnathon R. Autry Nov 2023

Ur-407 Illusion Of Weight: The Use Of Tactile Glove For Muscle Exercise For Elders In Virtual Gym Experience, Johnathon R. Autry

C-Day Computing Showcase

This pilot study aims to investigate the potential creation of the perception of weight through a blend of visual and tactile feedback. Utilizing a tactile glove with varying vibration intensities and virtual dumbbell sizes, the experiment explores multiple conditions. These include tactile intensity (small, medium, large), virtual dumbbell sizes (small, medium, large), and diverse visualizations—ranging from no virtual dumbbell with or without tactile feedback to scenarios including both virtual dumbbells and tactile feedback. The study evaluates the virtual reality exercise experience and real performance using EMG sensors to measure muscle response, Heart Rate (HR), Galvanic Skin Response (GSR), and hand …

Go to article

Eur-525 Ai-Based Quiz Generation: The Role Of Llms In Digital Education, Devananda Sreekanth Nov 2023

Eur-525 Ai-Based Quiz Generation: The Role Of Llms In Digital Education, Devananda Sreekanth

C-Day Computing Showcase

Our investigation delves into the application of Large Language Models (LLMs) and AI in crafting quiz-based learning tools for college students. We sifted through academic resources, utilizing keywords such as "AI," "GPT," "BERT," and "LLM," and pinpointed 24 pivotal papers out of over 80. Our findings highlight a preference for models like GPT-3, with newer technologies like BERT and RAG less represented, suggesting potential avenues for future inquiry. The research employed a structured methodology that encompassed an exhaustive literature review, trend analysis over time, and detailed textual scrutiny of AI technology mentions and innovative methods within the domain. This approach …

Go to article

Uc-408 Web Hardening, Christopher Brown, Spencer J Jackson, Lynder Kigo, Gabrielle Hooper Nov 2023

Uc-408 Web Hardening, Christopher Brown, Spencer J Jackson, Lynder Kigo, Gabrielle Hooper

C-Day Computing Showcase

Our project focuses on ethical hacking and defending in the form of a red/blue team. Our project was broken into 3 phases. In Phase one we were given a server stack and told to do what we could in order to analyze weak points. In phase 2 we were told to bolster the defenses of those weak points. Lastly, in phase 3 were we given an IP address of an opposing team to attack while defending against another teams advances.

Go to article

Uc-492 Lotspotter, Julian Yankah, Henry Pham, Tripp Greene, Jonathan Perry, Ghislain Dongbou Nov 2023

Uc-492 Lotspotter, Julian Yankah, Henry Pham, Tripp Greene, Jonathan Perry, Ghislain Dongbou

C-Day Computing Showcase

The parking issue has quietly become the cause of a lot of stress for travelers and other regular users. It's nothing new that some people miss their flight and/or get late to other important meetings and appointments because they couldn’t locate an available parking lot. Not because there isn't available parking but because they don’t know where it is! What if there was some way to solve that? Introducing LotSpotter! An application built to detect and navigate to vacant parking spaces across the United States. It will leverage various technologies, including image processing, sensors, AI and mobile app development, to …

Go to article

Uc-502 Chess App With Ai, Connor Handley, John Paul Cohran, Cole Smith, Paul Russell, Eric Tsai Nov 2023

Uc-502 Chess App With Ai, Connor Handley, John Paul Cohran, Cole Smith, Paul Russell, Eric Tsai

C-Day Computing Showcase

The objective of this project is to create a website that contains a virtual chess game, where the user can play against an opponent powered by an artificial intelligence model. This chess platform will be a widely accessible and user-friendly way to become more familiar with and practice the game of chess.

Go to article

Uc-506 Underock Arena, Bryanna N Walker Nov 2023

Uc-506 Underock Arena, Bryanna N Walker

C-Day Computing Showcase

The game I developed was meant to highlight the ways that game developers can utilize our mobile devices to create a casual game. Breaking down complex parts of an RPG battling game, I devised the most casual and mobile-friendly way for the player to battle with unique bugs against an AI enemy using only 3 simple buttons: attack, heal, and ultimate. In addition, because of my areas of study at Kennesaw State University, I wanted to use my artistic abilities in my game. I thought it would be interesting to see how traditional art looks in a mobile game on …

Go to article

Uc-413 I Spy... Water Safety, Caden M. Robertson, Danny Winters, Denice Jaquez, Tahj Brown, Maksims D. L'Hernault Nov 2023

Uc-413 I Spy... Water Safety, Caden M. Robertson, Danny Winters, Denice Jaquez, Tahj Brown, Maksims D. L'Hernault

C-Day Computing Showcase

I Spy Water Safety is a game that teaches people about the importance of water safety around a lake. Our goal is to teach people proper water safety etiquette and lower the amount of water-related incidents.

Go to article

Uc-426 Cybersecurity Park, Michael P. Leung, Kalil R. Masters, Robert Deason, Ian C. Skoonberg, Aiden D. Gohlke Nov 2023

Uc-426 Cybersecurity Park, Michael P. Leung, Kalil R. Masters, Robert Deason, Ian C. Skoonberg, Aiden D. Gohlke

C-Day Computing Showcase

We are presenting two additional modules to the Cyber Security Park, a long-running game project that is part of the realities lab. Whack-a-Malware is an arcade game where the player has to whack various malware, each with unique effects that mimic real-world malware. This includes Adware, Spyware, Ransomware, Computer Worms, and Trojan Horses. The player is equipped with two hammers that instantly destroy malware. But it goes on a three-second cooldown every time they destroy something. The player can reduce the cooldown by destroying adware as they are the main cause of slowing down the computer. Digital Footprints Private Investigator …

Go to article

Uc-432 Ccse Reservation Application, Brandon R. Bunn, Ryan Kafka, Dina Levieva, Alyn Ovell, Olivia C. Venuti Nov 2023

Uc-432 Ccse Reservation Application, Brandon R. Bunn, Ryan Kafka, Dina Levieva, Alyn Ovell, Olivia C. Venuti

C-Day Computing Showcase

This CCSE Reservation Application project is focused on creating a unified web application to simplify the reservation process for inventory devices and room time slots for faculty and staff at Kennesaw State University. This initiative combines two separate reservation systems into a single solution, encompassing a database, backend, and frontend. The database will store relevant information, the backend will handle data communication, and the frontend will provide a user-friendly interface for making reservations. Administrators will have access to an admin view for managing requests. The project has faced challenges, including resource constraints and team coordination issues. While the integration of …

Go to article

Moral Exemplars Of Note - Horst-Klaus Hofmann, Sam And Pearl Oliner Nov 2023

Moral Exemplars Of Note - Horst-Klaus Hofmann, Sam And Pearl Oliner

Moral Exemplars Study

Moral Exemplars of Note - Horst-Klaus Hofmann, Sam and Pearl Oliner

Go to article

Electrofacies Analysis Using A Geostatistical Approach, Northern Iraq Case Study, Hussein S. Hussein Nov 2023

Electrofacies Analysis Using A Geostatistical Approach, Northern Iraq Case Study, Hussein S. Hussein

Polytechnic Journal

The distribution of petrophysical parameters is governed by lithology, hence understanding the spatial variation in lithology is essential for reservoir characterisation. This study points out the use of well logs to estimate the lithology of carbonate rocks (limestone, marly limestone, dolomite, and dolomitic limestone) found in Upper Cretaceous to Miocene formations at the Khabbaz Oil Field in Northern Iraq. Applying the multivariate regression technique to neutron, and density data enabled accurate lithology prediction. By using independent values (well log data) to predict a dependent value (lithology), this technique is a progression of regression analysis. The formations under study comprised a …

Go to article

Strengthening Of Reinforced Concrete Beams With Transverse Circular Openings Using Near Surface Mounting Steel Bars, Hoshang Hayder Anwer, Bahman Omar Taha Nov 2023

Strengthening Of Reinforced Concrete Beams With Transverse Circular Openings Using Near Surface Mounting Steel Bars, Hoshang Hayder Anwer, Bahman Omar Taha

Polytechnic Journal

This study investigated the effectiveness of using near-surface mounted (NSM) steel bars to restore the shear strength of deep beams and deal with the presence of openings in slender beams. Fourteen simply supported reinforced concrete beams were tested with varying shear span-to-depth ratios (a/h) of 1.5 and 3.61, divided into two groups, and subjected to a two-point load configuration. Some beams had openings at different positions, classified as large or small with opening height ratios (ho/h) of 0.4 and 0.2, respectively. In the second group, six specimens were reinforced with NSM steel bars in three stirrup configurations (square, diamond, and …

Go to article

Search And Ranking Of High-Rise Apartments Based On Residential Quality Index, Royce Korah Thomas Nov 2023

Search And Ranking Of High-Rise Apartments Based On Residential Quality Index, Royce Korah Thomas

Defensive Publications Series

Increasing urbanization has prompted urban residents to look for solutions to alleviate urban environmental issues such as air and noise pollution. High-rise buildings have become a preferred choice for those looking for cleaner air and a quieter living environment. This disclosure describes techniques to crowdsource floor information from residents of high-rise apartments and to use such information to prioritize search results based on a herein-defined residential quality index (RQI). The techniques address limitations of current map or search applications by providing accurate floor and environmental quality information for high-rise apartments.

Go to article

First Prev Next Last