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- Computer science (8)
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- Behavioral sciences (1)
- Blackjack; Card Counter; Casino; Simulation (1)
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- Blockchain; distributed ledger; emerging technologies; project-based learning; self-regulated learning; peer learning (1)
- Cancel culture; Twitter; data analysis; sentiment analysis; topic analysis (1)
- Ccs; computing methodologies; artificial intelligence; computer vision; computer vision problems; object detection (1)
- Customer service quality metrics; information technology mediated customer service; information technology mediated customer service in China; online shopping; point of sale systems (1)
- Customer service technology; customer service quality metrics; gender comparison (1)
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- Twitter; NHL; performance; sentiment (1)
- Virtual reality; healthcare; technology (1)
- Virtual water flows; multiregional input-output model; Yellow River Basin; international and interprovincial trade (1)
- Yankees; Red Sox; Sentiment; Topic Analysis (1)
Articles 1 - 19 of 19
Full-Text Articles in Physical Sciences and Mathematics
On Teaching Multi-Criteria Decision Making With A Robot Assistant, Chen Zhang, Hakan Saraoglu, David A. Louton
On Teaching Multi-Criteria Decision Making With A Robot Assistant, Chen Zhang, Hakan Saraoglu, David A. Louton
Information Systems and Analytics Department Faculty Conference Proceedings
We propose a system and method for a robot assistant for teaching multi-attribute decision making (MCDM). Through questions and answers in natural language, the robot assistant learns the user’s preferences on multiple criteria involving a selection decision and makes recommendations using data on each criterion and the learned user preferences. It will include a use-case demonstration where NAO the robot will assist a human in forming a simple portfolio of mutual funds. Presenters will illustrate the architecture of the robot assisted MCDM and describe a method that is extensively used to structure complex decision problems and has been applied to …
The Impact Of Virtual Reality On The Healthcare Industry, Peter Sullivan
The Impact Of Virtual Reality On The Healthcare Industry, Peter Sullivan
Honors Projects in Information Systems and Analytics
Virtual reality (VR) took off in 2013 and has touched many public sectors, from gaming, to business, to healthcare. This study looks at virtual reality's impact has affected the healthcare system, with a focus on its use for medical training, patient recovery, patient pain management, and mental health care. A literature review was conducted on the current state of the industry addressing virtual reality's performance in the field, the perception of experts, and an estimation of financial undertakings. Looking at cost analyses brought a fuller approach to the research. Surveying researchers and workers within the realm of healthcare and VR …
The Impact Of Artificial Intelligence On The Cybersecurity Industry, Lindsey Shearstone
The Impact Of Artificial Intelligence On The Cybersecurity Industry, Lindsey Shearstone
Honors Projects in Information Systems and Analytics
As our world becomes more digitalized, cyber criminals have an increasing landscape to launch their attacks. Developments in Artificial Intelligence are being used both to attack and defend networks, therefore, what is the next step for cybersecurity companies when it comes to beating these criminals? A study was conducted that utilizes previous literature sources written on the topic of Artificial Intelligence (AI) in the cybersecurity industry. In addition, the insights of professionals in the industry today are included through a survey and interviews to dive into the details of this battle and what lays in its future. The purpose of …
Identifying Factors That Lead To Injury In The Nfl, Matthew Toner
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, …
Twitter's Role In An Increasingly Polarized Political Climate; A Look Into The 2020 Us Elections, Leanne Kendall
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 …
Cancel Culture: Who Or What Will Be Next?, Christine Trumper
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 …
Predicting The Outcome Of Nba Games, Matthew Houde
Predicting The Outcome Of Nba Games, Matthew Houde
Honors Projects in Data Science
The aim of the project is to create a machine learning model to predict NBA games. The purpose is to build upon and improve existing models. Research into other predictive sports models and machine learning techniques was conducted to understand what is currently being done to predict NBA games and how effective it is in doing so. After a thorough literary review, the model was created using Python and a variety of machine learning techniques. The dataset used had an array of team statistics for both the home and away team for each corresponding matchup and two supporting features were …
The Impact Of Twitter On The National Hockey League And Its Players, Benjamin Strauss
The Impact Of Twitter On The National Hockey League And Its Players, Benjamin Strauss
Honors Projects in Data Science
This study offers a new perspective on collecting and analyzing Twitter data surrounding the National Hockey League (NHL) to identify any trends or relationships between the data and overall performance during the 2021 abbreviated season. This paper provides and in-depth analysis by studying a sample of sixty of the top NHL players, specifically those who are typically top performers in the league, spanning over all thirty-one teams and all positions, this study was able to identify a deeper and broader perspective of what implications can be drawn from analyzing data from Twitter to both predict and reflect both individual player …
Teaching Applications And Implications Of Blockchain Via Project-Based Learning: A Case Study, Kevin Mentzer, Mark Frydenberg, David J. Yates
Teaching Applications And Implications Of Blockchain Via Project-Based Learning: A Case Study, Kevin Mentzer, Mark Frydenberg, David J. Yates
Information Systems and Analytics Department Faculty Journal Articles
This paper presents student projects analyzing or using blockchain technologies, created by students enrolled in courses dedicated to teaching blockchain, at two different universities during the 2018-2019 academic year. Students explored perceptions related to storing private healthcare information on a blockchain, managing the security of Internet of Things devices, maintaining public governmental records, and creating smart contracts. The course designs, which were centered around project-based learning, include self-regulated learning and peer feedback as ways to improve student learning. Students either wrote a research paper or worked in teams on a programming project to build and deploy a blockchain-based application using …
Analyzing Yankees And Red Sox Sentiment Over The Course Of A Season, Connor Koch
Analyzing Yankees And Red Sox Sentiment Over The Course Of A Season, Connor Koch
Honors Projects in Data Science
This paper investigates data collected on twitter which references the Yankees or Red Sox during the 2020 Major League Baseball (MLB) season. The objective is to analyze the sentiment of tweets referencing the Yankees and Red Sox over the course of the season. In addition, an investigation of the networks within the data and the topics that were prevalent will be conducted. The 2020 MLB season was started late because of the COVID-19 pandemic and was a season like no other. The expectation of a dataset revolving around baseball is that the topics discussed would be about baseball. The findings …
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis, Guilian Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jinjing Liu
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis, Guilian Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jinjing Liu
Information Systems and Analytics Department Faculty Journal Articles
With the imminent need of regional environmental protection and sustainable economic development, the concept of virtual water is widely used to solve the problem of regional water shortage. In this paper, nine provinces, namely Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong in the Yellow River Basin (YRB), are taken as the research objects. Through the analysis of input-output tables of 30 provinces in China in 2012, the characteristics of virtual water trade in this region are estimated by using a multi-regional input-output (MRIO) model. The results show that: (1) The YRB had a net inflow of …
Realtime Object Detection Via Deep Learning-Based Pipelines, James G. Shanahan, Liang Dai
Realtime Object Detection Via Deep Learning-Based Pipelines, James G. Shanahan, Liang Dai
Information Systems and Analytics Department Faculty Conference Proceedings
Ever wonder how the Tesla Autopilot system works (or why it fails)? In this tutorial we will look under the hood of self-driving cars and of other applications of computer vision and review state-of-the-art tech pipelines for object detection such as two-stage approaches (e.g., Faster R-CNN) or single-stage approaches (e.g., YOLO/SSD). This is accomplished via a series of Jupyter Notebooks that use Python, OpenCV, Keras, and Tensorflow. No prior knowledge of computer vision is assumed (although it will be help!). To this end we begin this tutorial with a review of computer vision and traditional approaches to object detection such …
An Empirical Investigation Of Information Technology Mediated Customer Services In China, Jianhua Xiao, Suhong Li
An Empirical Investigation Of Information Technology Mediated Customer Services In China, Jianhua Xiao, Suhong Li
Information Systems and Analytics Department Faculty Conference Proceedings
Information technology mediated customer service is a reality of the 21st century. More and more companies have moved their customer services from in store and in person to online through computer or mobile devices. Using 208 respondents collected from two Chinese universities, this paper investigates customer preference over two service delivery model (either in store or online) on five type of purchasing (retail, eating-out, banking, travel and entertainment) and their perception difference in customer service quality between those two delivery model. Results show that a majority of Chinese students prefer in store and in person for eating out. For ordering …
Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli
Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli
Honors Projects in Information Systems and Analytics
This project explores the use of deep learning to predict age based on pediatric hand X-Rays. Data from the Radiological Society of North America’s pediatric bone age challenge were used to train and evaluate a convolutional neural network. The project used InceptionV3, a CNN developed by Google, that was pre-trained on ImageNet, a popular online image dataset. Our fine-tuned version of InceptionV3 yielded an average error of less than 10 months between predicted and actual age. This project shows the effectiveness of deep learning in analyzing medical images and the potential for even greater improvements in the future. In addition …
Can Ego Defense Mechanism Help Explain Is Security Dysfunctional Behavior, Abhijit Chaudhury, Debasish Mallick
Can Ego Defense Mechanism Help Explain Is Security Dysfunctional Behavior, Abhijit Chaudhury, Debasish Mallick
Information Systems and Analytics Department Faculty Conference Proceedings
IS security behavior studies are becoming popular. To date, much of the research has been based on theories such as the Theory of Planned Behavior, Technology Adoption Model, Rational Choice theory and Theory of Reasoned Action. They view users as rational individuals making conscious utilitarian decisions when there is increasing evidence that security breaches are the result of human behavior such as carelessness, malicious intent, bad habits, and hostility. We propose the ego defense mechanism model, taken from the psychoanalytical world. This model makes no assumption of rationality and has been developed to help understand the roots of dysfunctional behavior …
A Comparison Of Information Technology Mediated Customer Services Between The U.S. And China, Suhong Li, Hal Records, Robert Behling
A Comparison Of Information Technology Mediated Customer Services Between The U.S. And China, Suhong Li, Hal Records, Robert Behling
Information Systems and Analytics Department Faculty Journal Articles
Information technology mediated customer service is a reality of the 21st century. More and more companies have moved their customer services from in store and in person to online through computer or mobile devices. Using 442 responses collected from one USA university (234 responses) and two Chinese universities (208 responses), the study investigates customer preferences over two service delivery models (either in store or online) on five types of purchasing (retail, eating-out, banking, travel and entertainment) and their perception difference in customer service quality between those two delivery models in the U.S. and China. The results show that the majority …
Catching Card Counters, Sarah French
Catching Card Counters, Sarah French
Honors Projects in Mathematics
The casino industry has been researched through a variety of disciplines including psychological gambling habits, technological advances, business strategies, and mathematical simulations. In the vast number of studies that have been conducted, there are few scholarly articles that focus on the specific aspect of card counting. The majority of games in the casino are designed to favor the “house”. This study focuses on the game of blackjack, in which players using a card counting strategy can tip the odds in their favor. A computer simulation was used to model the betting strategy of a card counter who would bet methodically. …
How One Trade Could Change The World: High Frequency Trading And The Flash Crash Of 2010, Sarah Perlman
How One Trade Could Change The World: High Frequency Trading And The Flash Crash Of 2010, Sarah Perlman
Honors Projects in Finance
Financial markets are controlled directly by a small population of people, but have direct effects on almost every aspect of the global community. Financial markets are now flooded with computerized algorithms that have drastically changed the face of trading. As with any advances in technology, there are always unforeseen events that create new challenges, and adjustments that need to be made. In our increasingly global and technological world, one wrong click of the mouse in New York could affect the stock markets in London, Tokyo, and Brazil. On May 6th, 2010, such a situation occurred and caused the Dow Jones …
Using Python To Program Lego Mindstorms Robots: The Pynxc Project, Brian S. Blais
Using Python To Program Lego Mindstorms Robots: The Pynxc Project, Brian S. Blais
Science and Technology Department Faculty Journal Articles
LEGO MINDSTORMS® NXT (Lego Group, 2006) is a perfect platform for introducing programming concepts, and is generally targeted toward children from age 8-14. The language which ships with the MINDSTORMS®, called NXTg, is a graphical language based on LabVIEW (Jeff Kodosky, 2010). Although there is much value in graphical languages, such as LabVIEW, a text-based alternative can be targeted at an older audiences and serve as part of a more general introduction to modern computing. Other languages, such as NXC (Not Exactly C) (Hansen, 2010) and PbLua (Hempel, 2010), fit this description. Here we introduce PyNXC, a subset of the …