Digital Commons Network^™

Automated Sponge Segmentation With Mask R-Cnn On Arms Plate Images For Reef Monitoring, Mrunali Abhijit Thokadiwala

Master's Projects

Climate change-driven ocean warming and acidification are disrupting the ecological balance of coral reefs. Notably, these oceanic conditions are undermining coral health and accelerating their decline which is favoring some sponge species in outcompeting them for dominance. Although functional, these altered reefs destabilize the reef architecture, hinder nutrient cycling, and support fewer marine species. Thus, monitoring the growth and abundance of various sponges and understanding their roles at different stages of ecological succession in coral reefs is vital. Autonomous reef monitoring structures (ARMS) are often used for this purpose, but manual taxonomic analysis using their images is time-consuming, inconsistent and …

Comparative Analysis Of Embedding Techniques With Clustering Algorithms For Malware Opcodes, Ayush Koul

Master's Projects

Malware detection and classification remain critical challenges in cybersecurity, especially as malicious software becomes increasingly sophisticated and prevalent. While much of the work involving embeddings has traditionally relied on supervised learning approaches, there is significant potential in leveraging unsupervised learning techniques to discern hidden structures in malware data. By employing embedding techniques to convert malware samples into high-dimensional vector representations, we can capture the subtle and complex patterns inherent in malicious code without relying on pre-labeled data. This unsupervised approach helps categorize malware into predefined malware families, greatly aiding in developing cybersecurity solutions. In contrast to traditional supervised models that …

Gen Ai For Malicious Network Data, Aneesh Maturu

Master's Projects

Though botnet attacks are on the rise, they also have become sophisticated and difficult to detect. Such a rising threat demands more and more sophisticated cybersecurity that leverages machine learning technology. Nevertheless, one of the biggest bottlenecks remains the unavailability of large and well-balanced datasets, particularly for malicious traffic, which hampers the efficacy of detection models. In an attempt to address this issue, our research utilizes Generative Adversarial Networks (GANs) to produce synthetic samples of botnet traffic from the CTU-13 dataset. While the majority of generative models have been targeting image data, we use GANs for a new application: generating …

Separation And Surface Examination Of Spacecraft Cabin Particulates, Grace A. Belancik

Master's Theses

Particulate matter in the atmosphere is a known detriment to human health, but several factors affect any particulate’s particular toxicity including particle size, surface area, and chemical composition. Extensive studies have been conducted to examine particulate hazards on Earth, but in crewed spacecraft, like the International Space Station (ISS), the particulate environment is wholly unique due to both the controlled environment and lack of gravity. Atmospheric sampling studies are underway, but another convenient source of airborne particulates for analysis is the contents of the vacuum bags used by the astronauts to clean the air vents. However, no method currently exists …

Conceptual Critical Success Factors Model On Infrastructure Sustainability Rating System For California Construction Projects, Joseph J. Kim, Jose A. Arroyo-Turcios

Mineta Transportation Institute

This report addresses the sensitivity and reliability of the sustainability rating systems by comparing each category’s verified scores with its respective submitted scores to evaluate how points are awarded for infrastructure projects, examine which categories present the most challenges for verification, and identify the best category for verification in the sustainability rating system. The authors conducted three analyses using credit score data obtained from fourteen actual civil infrastructure projects certified under Envision. First, the Natural World category had the highest average score from the submitted and verified data. Pairwise comparisons using t-tests indicate that the mean value of one category …

Generating Synthetic Malware Samples Using Generative Ai, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware attacks have a significant negative impact on organizations of varied scales in the field of cybersecurity. Recently, malware researchers have increasingly turned to machine learning techniques to combat sophisticated obfuscation methods used in malware. However, collecting a diverse set of malware samples with various obfuscation techniques is challenging and often takes years, especially for newly developed malware. This issue is further compounded by a well-known limitation of machine learning models: their poor performance when training data is scarce. In this paper, we propose a new system for generating synthetic malware samples to augment imbalanced malware dataset. Our approach decomposes …

Stream Response To A Dam Removal: Mill Creek, Davenport, Ca, Jessica J. Williamson

Master's Theses

Dams have many effects on stream morphology and ecology, including a loss of sediment supply downstream, reduced access to the entire stream for aquatic fauna, and a flooded area upstream of the dam. Dams are a hurdle for migrating organisms such as anadromous fish, which is a group of concern. An over 100-year-old dam on Mill Creek, a stream draining a coastal watershed in central California, was removed in the fall of 2021. The site is in the Santa Cruz Mountains, where endangered salmonids such as steelhead, Oncorhynchus mykiss, have historically lived. To study the change in the stream from …

Reinforcement Learning-Based Dynamic Field Exploration And Reconstruction Using Multi-Robot Systems For Environmental Monitoring, Thinh Lu, Divyam Sobti, Deepak Talwar, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

In the realm of real-time environmental monitoring and hazard detection, multi-robot systems present a promising solution for exploring and mapping dynamic fields, particularly in scenarios where human intervention poses safety risks. This research introduces a strategy for path planning and control of a group of mobile sensing robots to efficiently explore and reconstruct a dynamic field consisting of multiple non-overlapping diffusion sources. Our approach integrates a reinforcement learning-based path planning algorithm to guide the multi-robot formation in identifying diffusion sources, with a clustering-based method for destination selection once a new source is detected, to enhance coverage and accelerate exploration in …

Association Between Risk Factors And Major Cancers: Explainable Machine Learning Approach, Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

Faculty Research, Scholarly, and Creative Activity

Background: Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk. Objective: This study aimed to leverage explainable machine learning models to identify and analyze the key risk factors associated with breast, colorectal, lung, and prostate cancers. By uncovering significant associations between risk factors and these major cancer types, we sought to enhance the …

Reinforcement Learning Methods For Assistive And Rehabilitation Robotic Systems: A Survey, Mojtaba Sharifi, Shreesh Tripathi, Yun Chen, Qiang Zhang, Mahdi Tavakoli

Faculty Research, Scholarly, and Creative Activity

Advancements in robotic systems aimed at improving mobility for individuals with disabilities have required more sophisticated control and navigation methods. Traditional control approaches often lack the complexity and adaptability needed for the high-dimensional nature of human activities. Consequently, reinforcement learning (RL) has emerged as a dynamic and effective framework for managing robotic actions in complex and unpredictable human environments. This article reviews the integration of RL in robotic systems for enhancing the mobility of individuals with disabilities, addressing the limitations of traditional control methods in complex and unpredictable environments. We critically analyze various RL algorithms, discussing their advantages and challenges …

From Disciplinary Enthusiasm To Soulless Tasks: Norms Behind Computing Educators' Emotion Display, Virginia Grande, Päivi Kinnunen, Matthew Barr, Anne Kathrin Peters, Mihaela Sabin, Matilde Sánchez-Peña, Ethel Tshukudu

Faculty Research, Scholarly, and Creative Activity

Computing educators' emotion display is regulated by various norms and conventions. These (unwritten) rules affect which emotions educators feel comfortable expressing to different extents when students can perceive such displays. We draw on emotions and norms literature to investigate higher education computing educators' perceptions of what kinds of norms they have as criteria when considering which emotions they are (not) comfortable showing when teaching. Based on the qualitative content analysis of 22 interviews with computing educators from seven countries, we present various–sometimes connected or conflicting–norms that influence emotion display. These norms comprise moral, national, societal, professional, and affiliation norms that …

Examining Equity And Graduation Rates At Two Institutions Using A Course Deficit Model And The Collaborative Learning Through Active Sense-Making In Physics Curriculum, Cassandra A. Paul, David J. Webb

Faculty Research, Scholarly, and Creative Activity

We have previously described the reformed introductory physics course, collaborative learning through active sense-making in physics (CLASP), for bioscience students at a large public research one university (Original University) and presented evidence that the course was more successful and more equitable than the course it replaced by several measures. Now we compare the original success of CLASP with an implementation at a second institution. We find that the original results hold at another institution despite some changes to the original curriculum and a somewhat different student population. We find that students who take CLASP are (1) less likely to drop, …

Label-Free Visualization And Segmentation Of Endothelial Cell Mitochondria Using Holotomographic Microscopy And U-Net, Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa, Patrick Jurney

Faculty Research, Scholarly, and Creative Activity

Understanding the physiological processes underlying cardiovascular disease (CVD) requires examination of endothelial cell (EC) mitochondrial networks, because mitochondrial function and adenosine triphosphate production are crucial in EC metabolism, and consequently influence CVD progression. Although current biochemical assays and immunofluorescence microscopy can reveal how mitochondrial function influences cellular metabolism, they cannot achieve live observation and tracking changes in mitochondrial networks through fusion and fission events. Holotomographic microscopy (HTM) has emerged as a promising technique for real-time, label-free visualization of ECs and their organelles, such as mitochondria. This nondestructive, noninterfering live cell imaging method offers unprecedented opportunities to observe mitochondrial network dynamics. …

Bridging Sql Mastery And Career Confidence For Undergraduate Students Through Simulated Job Interviews, Dailin Zheng, Yu Chen, Leslie J. Albert

Faculty Research, Scholarly, and Creative Activity

Employers increasingly prioritize candidates who can solve real-world Structured Query Language (SQL) problems, particularly during technical interviews. However, many undergraduate students feel underprepared for these interviews because they have not engaged in the deep learning needed to apply SQL concepts confidently. Additionally, students often fail to recognize the career relevance of SQL skills. This Teaching Tip introduces an immersive SQL lesson designed to bridge the gap between conceptual learning and practical application. The lesson includes a mock SQL technical interview, where students apply their knowledge to solve real-world business problems, class discussions on SQL-related careers, and a post-interview debrief to …

Quantitative Analysis Of Machine Learning Model Performance And The Need To Consider Explainability, Vishnu S. Pendyala

Open Educational Resources

This presentation, titled "Quantitative analysis of Machine Learning model performance and the need to consider explainability," delves into various metrics used for evaluating machine learning models. It thoroughly examines fundamental classification metrics like accuracy, precision, recall, and F-score, while also discussing more advanced measures such as the Kappa Statistic and Matthews Correlation Coefficient (MCC), particularly highlighting their relevance in scenarios with imbalanced datasets. The presentation underscores the importance of model accuracy in real-world applications and briefly introduces regression metrics like R-squared and F-statistic. Additionally, it addresses challenges related to data imbalance and fairness in ML models, stressing the critical need …

Book Review: Decentering Whiteness In Libraries: A Framework For Inclusive Collection Management, Andrea Jamison, Shala K. Howell

School of Information Student Research Journal

No abstract provided.

Redefining Reference Services In The 21st Century, Johanna Tunon

School of Information Student Research Journal

The role of reference services in libraries has evolved significantly in the 21st century, driven by technological advancements and changing user needs. This paper explores how reference services have transitioned from traditional, desk-centric interactions to encompass a wide array of platforms and tools, including digital innovations and generative AI. The decline in reference transactions has prompted librarians to adapt, shifting focus towards more complex consultations and instructional roles, while also navigating the blurred boundaries between reference assistance and formal instruction. The paper also examines the updated definitions and limitations of reference services by the Reference and User Services Association (RUSA), …

Ischool Student Research Journal, Vol.14, Iss.2

School of Information Student Research Journal

Article citations within.

Classroom To Console, Ashton Headley

ART 108: Introduction to Games Studies

In an era where technology is continuously growing and intertwined into daily life, the field of education has seen drastic changes and innovation. Including changes we see today, with the ability to connect to class online, procter tests, submit assignments etc. And amongst these innovations, educational games have surfaced as a resource for helping learners across various age groups. By merging entertainment/gamification with educational content, these games offer an interactive and entertaining approach to acquiring knowledge and learning essential or non-essential skills. Whether it is implemented in classrooms, workplaces, or home settings, educational games are transforming the educational environment effectively …

Ethics And Environmental Impact Of Video Games, Anushka Chokshi

ART 108: Introduction to Games Studies

As video games grow in popularity, concerns regarding their ethical and environmental implications are brought up. While once, topics like their impact on child development or harm to Earth might have been considered minor or irrelevant, these concerns are now voiced in numerous articles across the internet, amplifying the urgency to develop games in an ethical context before matters are blown out of proportion. For the purposes of exploring both past and present views, this work draws from older and newer sources surrounding many topics on the idea of game development in the video game industry. Essentially, video game development …

Gamified Learning: Applying Game Design Thinking In Education, Qiaoxin Deng

ART 108: Introduction to Games Studies

Gamification is an Education Strategy It has gained popularity in recent years. Gamification is a means to foster student engagement and improve their learning journeys. It's about applying game design elements in non-game contexts. This is primarily used in educational settings. Gamification of learning makes it more engaging and fun by introducing rewards, challenges, and competition. By adding rewards, challenges, and competition, gamification makes learning more interesting and interactive (2020).In this essay, I will be discussing the concept of gamification. Its advantages and disadvantages will be explored. It will also give examples, including Duolingo and Quizlet, to illustrate how it …

The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra

ART 108: Introduction to Games Studies

From the first time I held a game controller, video games have been a fundamental part of my life. They started as simple, pixel-filled adventures on early consoles and have grown into the vast, immersive worlds we explore on today’s advanced systems. For me, they’ve always been more than just a way to pass the time; they’ve been gateways to alternate realities where creativity, interaction, and storytelling seamlessly come together. Over the years, video games have transformed from casual hobbies into intricate cultural phenomena and, importantly, into a recognized art form. In this essay, I contend that video games are …

Valorant's Interlinked To Theory Of Representation (Race And Culture) And Feminist Coflict Theory, Gerald Susanteo

ART 108: Introduction to Games Studies

A brief introduction to Valorant to new ears and eyes is that Valorant is a video game and what I will be calling a media that was released by Riot Games in 2020, Valorant is a tactical FPS (first person shooter) game that blends strategic gameplay with an immersive sci-fi narrative. The setting of the game takes place in a world destabilized by the mysterious "First Light" event which gives these agents called Radiants their powers and abilities. The game first introduces the organization called Kingdom Corporation as a central antagonist exploiting the Radiants who, like I explained earlier, are …

The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur

ART 108: Introduction to Games Studies

No abstract provided.

Pixels Of Passion: The Revolutionary Impact Of Indie Games, Sharanya Udupa

ART 108: Introduction to Games Studies

In the dynamic world of video game development, a powerful revolution has been quietly transforming how interactive experiences are created. Independent game developers, or "indie" game creators, have emerged as innovative storytellers and design pioneers, challenging traditional gaming paradigms and offering players unique, personal experiences that transcend mainstream entertainment.

Unlike mainstream games developed by large corporations with multi-million dollar budgets, indie games are typically created by small teams or even individual developers driven by artistic vision rather than pure commercial interests. These creators prioritize innovative gameplay mechanics, compelling narratives, and unique aesthetic experiences over conventional market formulas. Platforms like Steam …

Experimental Investigations Of Wind Shear From Passing A Vehicle, Hamid Rahai, Assma Begum, Jeremy Bonifacio, Ryan Moffit

Mineta Transportation Institute

Wind energy can be harnessed for various commercial and transportation-related applications. This study assessed experimentally the potential of capturing wind energy from the passage of vehicles for electric power generation. Both wind tunnel experiments and field tests were performed. The wind tunnel experiments were performed in an open-circuit low-speed wind tunnel at a free-stream mean velocity of 23 m/s. Five PVC pipes placed adjacent to the wind-blowing domain were used to simulate the columns under a freeway overpass. A scaled Ahmad body (simplified car body model) was used as the vehicle. The spanwise distance between the Ahmad body and the …

Piloting A Novel Computational Framework For Identifying Prosthesis-Specific Contributions To Gait Deviations, Jacques Ezechiel N'Guessan, Muhammad Hassaan Ahmed, Matthew Leineweber, Sachin Goyal

Faculty Research, Scholarly, and Creative Activity

This paper introduces a novel computational framework for evaluating above-knee prostheses, addressing a major challenge in gait deviation studies: distinguishing between prosthesis-specific and patient-specific contributions to gait deviations. This innovative approach utilizes three separate computational models to quantify the changes in gait dynamics necessary to achieve a set of ideal gait kinematics across different prosthesis designs. The pilot study presented here employs a simple two-dimensional swing-phase model to conceptually demonstrate how the outcomes of this three-model framework can assess the extent to which prosthesis design impacts a user's ability to replicate the dynamics of able-bodied gait. Furthermore, this framework offers …

The Average Number Of Goldbach Representations And Zero-Free Regions Of The Riemann Zeta Function, Keith Billington, Maddie Cheng, Jordan Schettler, Ade Irma Suriajaya

Faculty Research, Scholarly, and Creative Activity

In this paper, we prove an unconditional form of Fujii's formula for the average number of Goldbach representations and show that the error in this formula is determined by a general zero-free region of the Riemann zeta function, and vice versa. In particular, we describe the error in the unconditional formula in terms of the remainder in the Prime Number Theorem which connects the error to zero-free regions of the Riemann zeta function.

Construction, Emplacement, And Structure Of Cretaceous Plutons In The Ebbetts Pass Region, North-Central Sierra Nevada Batholith, California, Hollianne C. Mcclure

Master's Theses

Field, petrographic, and geochronologic analyses were conducted for five Cretaceous plutons in the North-Central Sierra Nevada batholith to better understand their construction, emplacement, and deformation histories. All the plutons in the study area were constructed incrementally, but timing and degrees of mixing between increments vary. The lack of internal contacts and heterogeneity in the interiors of the Stanislaus Meadow and Ebbetts Pass plutons suggest that there were sizeable magma chambers where there was thorough mixing of increments. The West of Elbow, Lookout Peak, and Kinney Lakes plutons were constructed from small batches of magma based on their textural and compositional …

Using Moss As An Inexpensive Air Pollution Bioindicator For Environmental Equity In Santa Clara Country, California, Tam Dan Tran

Master's Theses

Toxins pervade urban areas and pose long-term health risks to humans. I examine moss as an affordable bioindicator and assess whether moss monitor results reflect other air quality (AQ) indicators, environmental factors, and social vulnerability. Specifically, I investigate (1) whether moss is an effective atmospheric pollution indicator and (2) whether low-income or high-lead-risk neighborhoods experience greater exposure to air pollution. I set out Hypnum cupressiforme moss for two months of exposure in 28 Santa Clara County locations and then measured chromium, zinc, nickel, and the loss of chlorophyll fluorescence in the moss tissue. I gathered real-time particulate matter (PM2.5) measurements …