Digital Commons Network^™

Uc-43 Aletheianomous Ai: The Chat Bot Providing The Most Accurate Knowledge Information, David E Chavarro, Aimi Tran, Ethan B Byrd, Matthew J Fincher

C-Day Computing Showcase

For this project, our group aimed to create an intelligent chat bot that was accessible through the web client interface. Aletheianomous, our chat bot, was designed to provide accurate information ethically, aligned with human values. When applicable, the AI would offer the user citations to support its responses. For the back-end, a virtual machine (VM) server in AWS with access to the Graphics Processing Unit (GPU) would run three types of models: Sentence Separation Model, Search Query Extractor Model, and the Response Model. The front-end server using Microsoft Azure generates the web page for the user, exchanges chat data with …

Uc-48 Birding With Buddy, Lazare V Sawadogo, Ikhelowa E Adeji, Blake Graham, Zach Alpine, Troy C Sorrells

C-Day Computing Showcase

Birding with Buddy is an educational and entertaining immersive virtual 3D low-poly birdwatching to be experienced at the Carter Lake Nature Center to enable kids to embark on a quest to learn more about birds. Buddy the Beaver guides the user through different terrain types to identify diverse bird species with sounds. Integrate a bird identification system where players click on the binocular icon to switch to a binocular view. In this view, players can choose to Identify (multiple-choice) the correct bird, Hear the Call Again, or Consult a Field Guide. Featuring flippable pages with images and notable markings of …

Uc-56 Donation For Dummies, Jayvon L Triplett, Stephen A Mancini, Mitchell Thomason, Kendrell M Niles

C-Day Computing Showcase

Donation For Dummies is a VR game designed to help people feel more relaxed and informed when donating blood. It consists of a theater room where a video plays explaining the process as well as what to do before and after donating. For people wanting a distraction, we have an arcade where players can enjoy minesweeper, matching, or solitaire. For those wishing to relax, we have an art gallery where players can virtually walk around and look at various pieces of art. The more relaxed player that do not wish to move around the game world can instead choose to …

Uc-64 Smart Evaluator Of Indirect Supplies Vendibility, Matthew S Periut, Cohen Miller, Carter Ray, Dawniqueca Steele, Justin Hughes

C-Day Computing Showcase

The Smart Evaluator is a web-based software solution that analyzes industrial tools and their vending possibilities. It aims to streamline inventory research for sales teams, reducing manual data gathering and vendibility determination. To begin, users simply upload a basic item inventory spreadsheet, and start the program. From there, the program uses web scraping and ChatGPT to gather key data about the various tools including dimensions, weight, and fragility. Each item is then evaluated based on the collected data, and the optimum storage method is calculated. Once these tasks are performed, the results are stored in the system’s database for future …

Uc-69 Interactive Training Game Suite, Garrett J Perry, Joscelyn Cauley, Issabella Du, Sergiu Ursu, Rahaf Kokash

C-Day Computing Showcase

It is now common knowledge that simple lectures are not the most effective way for the average person to learn and retain knowledge. The Core of Engineers at the Warner Robins Air Logistic Center have tasked us to transform their PowerPoint presentations into interactive training games to improve comprehension, interaction and retention while saving time and logistical resources compared to giving a traditional lecture. We been tasked with creating game modules covering STINFO or what is or is not considered classified information, Records Management, and the No FEAR Act detailing whistleblower rights and protocols. Our team has developed a log …

Uc-71 An Environmentally Conscious Roguelike, Andrew Bland, Brendan Strawser, Adele Rousseau, Bewaji Adewunmi

C-Day Computing Showcase

This semester we have been creating an action-adventure video game based on the theme of "Saving the Environment".

Uc-81 Drinkinator App, Maximus A Smith, Toby Mose, Grayson Payne

C-Day Computing Showcase

The "Drinkinator" app represents an innovative solution aimed at revolutionizing the beverage industry by providing users with a personalized drink recommendation system. Rooted in a motivation to diversify people's beverage selections and enhance their drinking experiences, the app facilitates exploration of a wide range of mixed drinks, wines, and beers tailored to individual preferences. Leveraging data analysis and user profiling techniques, the app offers tailored suggestions, showcasing a deep understanding of consumer behavior and taste preferences. Utilizing React Native for front-end development and JavaScript for back-end functionality, the app integrates various libraries to ensure seamless user experiences and efficient data …

Uc-82 Trip Logger, Reese D Gassner, Jason Zhou, Justin T Barker

C-Day Computing Showcase

We developed an Android mobile app using the Software Development Life Cycle (SDLC) approach to enable users to track their travel distance and time via GPS, fostering greater emissions awareness through their driving habits of distance and time taken. Built with the Flutter framework and Dart language, the app features a user-friendly interface created with Flutter widgets that manage both appearance and user interactions. Our streamlined architecture comprises three layers: the presentation layer for UI elements, the application layer containing the core logic, and the data layer, which locally stores trip data in CSV format to ensure quick access and …

Ur-49 Coronary Artery Segmentation Using Convolutional Neural Network, Connor Bell, Brenda Nyiam, Daron L Pracharn

C-Day Computing Showcase

The project contributes to the advancement of medical imaging technology by overcoming the challenges associated with segmenting coronary arteries from ICA images. By leveraging deep learning algorithms, the system can effectively extract coronary arteries with high accuracy, providing valuable information for CAD diagnosis and treatment planning. Accurate and efficient coronary artery segmentation can improve the workflow of cardiologists and enhance the quality of patient care. A robust automated segmentation model could potentially reduce the time and resources required for manual annotation by experienced cardiologists, leading to cost savings and increased efficiency in clinical settings. Additionally, the developed model could be …

Ur-62 Deep Learning Approach To Network Anomaly Detection, Rene P Lisasi, Jamia M Jackson

C-Day Computing Showcase

A model of network anomaly detection capable of detecting a multitude of network attacks. This model is based on the hypothesis that by studying a system’s network records for irregular patterns during system usage, network anomalies can be identified. This model contains information about the type of attacks and metrics. This model is to be used in any type of distributed environment. The general purpose of this model is to detect when an attack is or has happened using deep learning techniques to optimize the training speed, accuracy and robustness of attack detection. This is done to stop the epidemic …

Ur-78 Transforming Game Play: A Comparative Study Of Cnn And Transformer Based Q-Networks In Reinforcement Learning, William A Stigall

C-Day Computing Showcase

In this study we investigate the performance of Deep Q-Networks utilizing Convolutional Neural Networks (CNNs) and Transformer architectures across 3 different Atari Games. The advent of DQNs have significantly advanced Reinforcement Learning, enabling agents to directly learn optimal policy from high dimensional sensory inputs from pixel or RAM data. While CNN based DQNs have been extensively studied and deployed in various domains Transformer based DQNs are relatively unexplored. Our research aims to fill this gap by benchmarking the performance of both DCQNs and DTQNs across the Atari games' Asteroids, Space Invaders and Centipede. Our research finds that our Transformer Agent …

Ur-87 Adversarial Patch Attack In Deep Learning Based Remote Sensing Object Detection Model, Kyle Bratcher

C-Day Computing Showcase

Advancements in the field of machine learning have led to object detection systems that can approach or even improve upon human performance. Based on deep learning, these systems play a crucial role in many aspects, and continue to be improved on and see expanded adoption. However, these systems are vulnerable to adversarial attacks that rely on targeted noise to spoof detection. Researchers have applied this concept to increase real world adversarial performance by restricting this noise to a patch that can be placed on new images to disrupt object detection. Previous research has focused on patches applied to person recognition …

Celebrating Faculty Scholarship 2024, Smith College Libraries

Celebrating Faculty Scholarship: Bibliographies

Scroll down to view the bibliography of selected scholarly and creative work produced by Smith College faculty and submitted by faculty for the 2024 celebration which took place in the Neilson Library Skyline Reading Room, Smith College on April 25, 2024.

How Artificial Intelligence Works: Using The Gradient Descent Algorithm, Rachel Glowniak

Academic Festival

The recent commercialization of affordable and simplified tools has brought artificial intelligence out of the movies and research labs and into our homes and classrooms. Using Alexa, Siri, and ChatGPT has been simplified for the masses, but the algorithms behind these applications are steeped in mathematics and computer science. This paper will focus on gradient descent, an example of an optimization algorithm. The foundation of the algorithm as well as its applications and limitations will be explored. Finally, we will present a classic example of the gradient descent algorithm. To further analyze the method, the algorithm has been implemented in …

Fibonacci Numbers, Maya Salamone

Academic Festival

The Fibonacci sequence is defined as the sequence F_n with the recurrence relation F_n+1 = F_n + F _n-1 where F₀ = 0 and F₁= 1. A closely related sequence to the Fibonacci sequence is the Lucas sequence, L_n. The terms of the Lucas sequence satisfy the the same recurrence relation as the Fibonacci sequence with differing initial conditions. In this paper, we will study some of the properties of the Fibonacci numbers and explore some of the relationships between Fibonacci and Lucas numbers. We will also give a proof of Binet's …

Wittgenstein, Empiricism, And Pragmatism: Examining The Evolution Of Wittgensteinian Solipsism, Cody Davis

Academic Festival

In this paper I will argue for an interpretation of Ludwig Wittgenstein’s Tractatus Logico-Philosophicus as a work of empiricism, as well as an argument for his Philosophical Investigations as a work of pragmatism, and how these two interpretations apply to Wittgenstein’s formulation of solipsism. Specifically, I will show how an empiricist understanding of the Tractatus leads Wittgenstein to his formulation of solipsism, which is untenable because it is unsayable. Similarly, I will show how a pragmatic understanding of the Investigations gives Wittgenstein a “way out” of his Tractarian solipsism, specifically with his formation of the private language argument as a …

Practical Cataloging And Classification Training By Library And Information Science Users Education At Kwara State University Library, Nigeria, Abdrahman Atanda Moustapha, Odushina Babatunde Julius

Library Philosophy and Practice (e-journal)

Purpose

The study examined the cataloging and classification training of users in library and information science and their use of library catalogs at the Kwara State University Library, Nigeria. Training is a vital necessity for performing any professional responsibility. Therefore, the trainee's actions towards the training program cannot be affected.

Design/methodology/approach

The study adopted a descriptive research approach. It surveyed a sample of 250 university library users selected from a population of 515 through random sampling.

The findings

Library and Information Science users at Kwara State University Library, Nigeria, have a negative perception of the practical study of cataloging and …

Evaluating Introductory Computer Science Labs In The Presence Of Ai Tools, Nicholas Snow, Devin Chaimberlain, Abigail Pitcairn, Benjamin Sweeney

Thinking Matters Symposium

This study explores the resistance of introductory computer science lab assignments to “shortcutting” by generative AI tools, such as ChatGPT. By analyzing the work of three distinct student personas on these assignments, we identified key characteristics of language and structure that influence an assignment's vulnerability to AI abuse. Based on these insights, we propose strategies for educators to adapt labs to both counteract AI shortcutting and encourage productive uses of AI.

Euler Archive Spotlight: Multiple Search Options, Christopher Goff

Euleriana

The Euler Archive houses PDF versions of almost all of Euler's original publications. While most visitors search the archive via a work's Eneström number, the Archive can be searched via source publication name, date written, or decade of publication. The Archive also provides context for Euler's publications through short pieces of historical information.

Euler And A Proof Of The Functional Equation For The Riemann Zeta-Function He Could Have Given, Alexander Aycock

Euleriana

We explain how Euler could have proved a functional equation, which is equivalent to the one for the Riemann zeta-function, that he conjectured in his paper {\it ``Remarques sur un beau rapport entre les series des puissances tant directes que reciproques"} \cite{E352} (E352: ``Remarks on the beautiful relation between the series of the direct and reciprocal powers").

Euler And The Gaussian Summation Formula For The Hypergeometric Series, Alexander Aycock

Euleriana

We show that in his paper {\it ``Plenior expositio serierum illarum memorabilium, quae ex unciis potestatum binomii formantur"} \cite{E663} (E663: ``A more thorough exposition of those memorable series that are formed from the binomial coefficients") Euler could have found the Gaussian summation formula for the hypergeometric series from his own formulas in that same paper, if he actually set the task for himself.

Euler And Homogeneous Difference Equations With Linear Coefficients, Alexander Aycock

Euleriana

We present a method outlined by Euler in his paper{\it ``De fractionibus continuis observationes"} \cite{E123} (E123: ``Observations on continued fractions") that can be used to solve homogeneous difference equations with linear coefficients. We will illustrate his ideas by applying it to two familiar examples and explain how it can be understood from a more modern point of view.

On The Cases In Which The Formula X^4+Kxxyy+Y^4 Can Be Reduced To A Square, Georg Ehlers

Euleriana

Euler’s key idea for equating the Quartic in the title to a square is to set k=P+surd(Q). From this he derives P=f·x^2 and Q=4f·y^2+4 and solves the Pell equation for y. He then discusses various extensions to rational numbers that leave k an integer. Euler provides incomplete tables for integers k with |k|square.

Research On Arithmetic, Erik R. Tou

Euleriana

In this English translation, some of Joseph-Louis Lagrange's early number theory is presented. Here, he laid out a theory of binary quadratic forms with special attention to the representation problem: determining those integers which may be represented by a given form, and cataloguing the possible forms of their divisors.

Number Theory And More, Christopher Goff, Erik Tou

Euleriana

An introduction to the contents in Issue 1, Volume 4 of Euleriana.

Five Graduate Students, Alumni Receive Nsf Graduate Research Fellowships, Sarah Schaier, Hayley Barnhard, Beth Potier

UNH Today Archive

No abstract provided.

Caterpillar, Lobster, X Graphs, Gerald Melin, Landon Seward, Will Mahowald, Xavier Jones

Celebrating Scholarship and Creativity Day (2018-)

We studied a combinatorial game played between two players ("Alpha", who goes first, and "Beta", who goes second). The idea is that there are a lot of lightbulbs in a large warehouse, and they take turns turning a light bulb on. When a light bulb is turned on, it illuminates the area directly by it as well as the areas immediately surrounding it. The player who is the one to make all of the warehouse illuminated is the winner. This can be modeled on a graph. The two players take turns (1) selecting a vertex that has not yet been …

Seagrass Conservation And Restoration To Mitigate Ocean Acidification And Climate Change, Tori Benson, Emi Wagner, Jaeger Reed

Celebrating Scholarship and Creativity Day (2018-)

For millennia, various seagrass species have been sequestering and anchoring aquatic carbon into oceanic sediment. The crucial role of seagrasses involves helping mitigate climate change, which emphasizes the urgent need to conserve, sustain, and manage them as part of global climate action efforts. Restoration and conservation studies have shown significant reversal of potential damaging effects, however human activity continues to set back efforts faster than they can proceed. Multiple studies have concluded that there has been a decline in seagrass meadows in previously dense areas; and due to this, surrounding pH levels have declined and rising atmospheric carbon poses a …

Artificial Intelligence And Film: A Journey In Public Perception From 1960 To The Present Day, Kayla Anderson, Andrew Roggeman, Joseph Fuller

Celebrating Scholarship and Creativity Day (2018-)

An analysis of accomplishments in film from the 1960s-2020s that feature Artificial Intelligence to give a full picture of how public perception has changed towards these technologies over time, supplemented by historical and technological context.

Modeling And Synthesis Of 3-(2,6-Disubstituted 5-Pyrimidyl) Propionic Acids As Inhibitors Of Low Molecular Weight Protein Tyrosine Phosphatase (Lmw-Ptp), Kennedy Bueno, Madisen Carter

Celebrating Scholarship and Creativity Day (2018-)

Low molecular weight protein tyrosine phosphatase (LMW-PTP) is an enzyme and a known signal pathway for growth factors and cellular transformation in eukaryotic cells. Our research aims to synthesize 12 new potential inhibitors of LMW-PTP and analyze their inhibitory activity and binding affinity. The inhibition of both isoforms of LMW-PTP has been the primary focus of research due to their potential role in breast, colon, and other cancers as well as type II diabetes. One known inhibitor, pyridoxal 5’- phosphate (PLP), is essential for various enzymatic reactions within the body, such as the synthesis of neurotransmitters, and is therefore impractical …