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Assessing the Effectiveness of AI-Generated Software in Withstanding Cyber Attacks
Full text linkThis project introduces a streamlined framework for evaluating the security of Java applications generated by large language models (LLMs). It integrates OWASP-supported tools with the NIST Risk Management Framework to evaluate code resilience against cyber threats and align relevant assessments with industry standards. The Java applications that are generated by LLMs undergo a three-phase analysis: SpotBugs with FindSecBugs to detect static vulnerabilities before runtime, OWASP Dependency Check to scan for known vulnerabilities in third-party libraries, and OWASP ZAP to simulate real-world attacks through dynamic testing. Identified vulnerabilities from these three tests are then passed through NIST to be standardized and assigned a risk level based on potential sources, likelihood, and impact of the threat. The impact of prompt design is explored by testing various AI models with varying prompts based on their emphasis on secure coding. The process outlined in the study provides a consistent and reproducible method for measuring AI-generated code against existing software development practices
Open Source Step-by-Step Guide for Modifying Ride-On Cars: Accessible Opportunities to Empower Children with Disabilities
Full text linkAdaptive and assistive technology is an important field that allows for devices that can greatly improve an individual\u27s life. The GoBabyGo program empowers children to use modified ride-on cars to better interact with their environment in an independent and therapeutic way. The goal of this project is to work closely with occupational therapists to create a step-by-step guide to modify basic cars for children with conditions such as cerebral palsy, spina bifida and chromosomal disorders. This guide outlines key modifications, including the electrical adaptations for accessible controls, structures for posture stability, and other changes that could be made for individual children. To ensure effectiveness, we have researched existing modification techniques and collaborated with occupational therapists to address common challenges in adaptive technology. This guide will help provide parents, therapists and engineers with a clear understanding of how to modify and customize a specific ride-on car, empowering children with increased mobility and independence. This guide will also allow for further modifications to meet individual children\u27s needs
Investigation of Traffic Counter Accuracy for Horse-Drawn Vehicles
No full textIn transportation engineering, accurate traffic counts are essential for transportation planning and infrastructure design, enabling policymakers and designers to make informed decisions about future development plans, safety improvements, and resource allocation. This research project investigates the ability of traditional traffic counting devices, counting tubes, to effectively count horse and buggy traffic. Traffic counting tubes, commonly used for monitoring vehicle flow, detect vehicles based on tire contact with a pneumatic tube. Lighter or slower vehicles are known to be miss-counted by these devices. This research focuses on the ability of traffic counters to recognize horse and buggy traffic, with data collected on local county roads in Elkhart County, Indiana, particularly County Road 37, which is centered in an Amish community where horse-drawn transportation remains an integral part of the local lifestyle. Elkhart County has a significant Amish population resulting in a high volume of horse and buggy traffic along certain corridors. Counting and differentiating buggy traffic allows the county to plan and prioritize road repairs and improvements to better address this user base. In order to assess the capabilities of traffic tube counters, data collected from the tube counters was compared to manual traffic counts derived from video of the count locations. The results of this study aim to provide insight for Elkhart County into the reliability of current traffic counting practices. Ultimately, this research will contribute to the ongoing effort to improve traffic data accuracy and provide more inclusive and comprehensive data collection techniques
The Spectrum of Feminism
No full textThe Spectrum of Feminism is a series of oil paintings with collages that address three points on the feminism spectrum. These pieces are meant to explore stereotypes and reasoning for the three identities and experiences of the points I am addressing on the feminism spectrum. The three points on the feminism spectrum within this collection are misogyny, feminism, and radicalism. I am highly inspired by my experiences as a woman and the current political climate. I address each piece with sides of reasoning for pro and anti views. My goal is to get viewers to question why these perspectives exist, and whether or not they hold similar views with any of the pieces
The Impact of CREW in the Elementary Classroom
No full textI will be asking the following question of how implementing CREW in the class’s morning routine affects student behavior throughout the day. At Edgewood Elementary school teachers are required to conduct a morning meeting referred to as CREW, which addresses social emotional learning foundations with the class. They have stated in staff meetings that schools who implement CREW time effectively often see a reduction in disciplinary problems and improved attendance. Students are less likely to act out when they feel supported emotionally, have strong peer relationships, and see school as a positive environment that meets their social and emotional needs.Content of CREW is different each school day, addressing topics from bullying, identifying emotions, and using inclusive terminology. I decided to use this as my research topic since many staff and students have expressed that the recent lack of CREW time in the classroom routine has shown an increase in bullying, emotional outbursts, and the lack of opportunity to set the day in a positive manner. Many students struggle with negative interactions not only in the classroom, but during specials, recess, and other school activities. A number of students also struggle to identify how they are feeling when confronted with strong emotions, allowing them to build it up rather than express it and counteract it. Since time seems to be the main issue with dedicating time to CREW, I am going to plan small interventions throughout the day that students can interact with. I am most interested in seeing how these small interventions will limit classroom disruptions, negative talk between students, and self talk. Implementing CREW routine back into the routine these principles create a classroom environment where students feel safe, valued, and motivated, which helps to minimize negative behaviors while encouraging positive ones
Importance of Researching ELL and SPED students
No full textThe intersection of English Language Learners (ELL) and students receiving Special Education services (SPED) presents challenges in the identification and assessment processes, often leading to misidentification or delayed interventions. This problem arises from linguistic and cultural factors, which can cause language barriers to be mistaken for learning disabilities and vice versa. As a result, ELL and SPED students may not receive the appropriate services or may be placed in unsuitable programs, slowing their academic success. This paper examines how these overlapping categories affect the identification and assessment of students, highlighting the need for more integrated, culturally responsive approaches. Through an analysis of existing literature, case studies, and best practices, the paper states the importance of adapting educational systems to better support these students. The research explores how language proficiency tests, academic assessments, and special education evaluations may be affected by language barriers and cultural differences. It also proposes strategies such as early intervention, professional development for educators, and culturally responsive assessments to improve identification accuracy and ensure timely support. By having collaboration among educators and focusing on the needs of dual-identified students, this study aims to better educational experiences for ELL and SPED students, ultimately leading to more equitable and effective educational opportunities
Big Top Performer
No full textNo two people have the exact same childhoods or nostalgic connections, but common themes, colors, and some experiences can be shared and are seen as nostalgic by many. Big Top Performer is a poseable art doll built from a wire skeleton with clay features and a soft, fabric body paired with a colorful canvas board backdrop and thematic accessories. The doll itself depicts a weasel in clown garb. The primary inspiration for the piece was childhood nostalgia. The doll itself resembles a toy or trinket while the backdrop reflects the imaginary story or setting of the toy. Without the backdrop, the doll is reduced to just a toy, but paired with the backdrop the doll is given “life.” The viewer, ideally, will form a nostalgic connection with the piece. This connection is not necessarily positive–clowns are a common fear, for example–but any sort of emotional response tied to childhood is the goal. The backdrop, which is abstract, sets the scene rather than dictating the mood or connection with the viewer. The doll exists and lives in a “play-land” that the viewer happens to witness
A 3D Nash Solution for the Ukraine-Russia War
Full text linkIn the nearly three years since the Ukrainian-Russian war officially began, it has become increasingly clear that neither country can obtain a total military victory. That is, some type of negotiated, or arbitrated, outcome must be achieved. In this presentation we explore what a solution obtained by the Nash Arbitration Method (NAM) might look like
Movie Recommendation System
Full text linkThis project presents a movie recommendation system that leverages machine learning algorithms to suggest movies based on user input. By combining features such as lead actors, genres, and directors, the system creates a comprehensive profile for each movie. Using Count Vectorization and cosine similarity, the system calculates the similarity between movies and provides recommendations. The system normalizes movie titles to ensure robust search functionality and retrieves the most similar movies based on user searches. Implemented with Flask for the web interface and FlaskUI for desktop deployment, this system demonstrates the potential of machine learning in enhancing user experiences through personalized recommendations in the entertainment industry. The project showcases how integrating multiple features and advanced algorithms can significantly improve the accuracy and relevance of movie recommendations, making it easier for users to discover new movies that match their preferences
Fatal Attraction: Testing the Efficacy of Bee Attractants
No full textThis study tested the behavior of Northern Indiana’s bee populations using two common bee attractants. The aim was to determine which attractant drew the most bees to the wood pollinator boxes (beehives). Three hives were used as the control groups (left untreated), three were treated with Mason Bee Attractant Spray (lemongrass oil as active ingredient), and three were treated with Lemongrass Oil diluted to a 10% oil-to-water ratio. The boxes were attached to six foot metal poles placed in the ground. The poles were spaced roughly three feet apart from each other. The boxes were observed for a one month period. During this period, observations were conducted twice daily, excluding weekends, to track the number of bees constructing combs within the hive boxes. The data tracked over the month-long period was then analyzed. An ANOVA showed that there was no significant difference in bee preference between the treatments (p-value=0.723912). These results show that the bee boxes are attractive on their own, and there is no benefit to buying commercial attractants. This research was cut short due to facilities management on campus completely negligently removing all of the foliage from the test site. Once the foliage was removed, there were no bees observed