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Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park Aug 2025

Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …

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Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara Aug 2025

Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara

Faculty Research, Scholarly, and Creative Activity

Better understanding of the implications of many aspects of human behavior, especially that of cybersecurity professionals, can help develop the cybersecurity workforce. Despite efforts aimed at documenting and understanding cybersecurity professionals' knowledge, understanding of how cognition supports human performance in specific cybersecurity tasks remains limited. Specifically, understanding of the elements of situation awareness (SA), defined as goal-directed knowledge, is necessary to support human-centered evaluation, selection, training, and recruitment strategies. In this poster, we propose a framework for developing measures of situation awareness for cybersecurity professionals and a method of capturing initial effectiveness data that does not rely on access to …

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Poster: Cloudsweeper: Leveraging Large Language Models To Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, Magdalini Eirinaki Aug 2025

Poster: Cloudsweeper: Leveraging Large Language Models To Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, Magdalini Eirinaki

Faculty Research, Scholarly, and Creative Activity

As cyber threats continue to evolve, overlooked or neglected files stored in cloud services can pose significant risks to personal privacy and data security. In this paper we present Cloudsweeper, a system that aims to improve cloud storage security by creating tools that help users identify and manage sensitive or unwanted files. Cloudsweeper leverages Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) architecture to develop a personalized and privacy-focused archive search system. Cloudsweeper represents an innovative approach to secure archive management, balancing user control and privacy in cloud storage environments.

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Spartan Daily, August 26, 2025, San Jose State University, School Of Journalism And Mass Communications Aug 2025

Spartan Daily, August 26, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 2

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Exploring The Moderating Effect Of Boundary Management Strategy In A Remote Work Environment, Brandon M. Vasquez Aug 2025

Exploring The Moderating Effect Of Boundary Management Strategy In A Remote Work Environment, Brandon M. Vasquez

Master's Theses

Remote work has evolved significantly, especially during the COVID-19 pandemic, and continues to influence employee experiences in both positive and negative ways. Managing the separation between work and personal life is of importance. More specifically, using a boundary management strategy of segmentation may be more effective than an integration strategy because those who separate the two domains of work and family/personal life may be less prone to conflict in their lives. The present study aimed to examine the moderating effect of boundary management strategy on the relationship between remote work and job satisfaction, work-life balance, and well-being. Specifically, it was …

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Attention In The Age Of Tiktok: Examining The Cognitive Impact Of Short-Form Video Consumption, Samantha Shannon Sutrisno Aug 2025

Attention In The Age Of Tiktok: Examining The Cognitive Impact Of Short-Form Video Consumption, Samantha Shannon Sutrisno

Master's Theses

With the rapid growth of popularity among short-form video platforms such as TikTok, media consumption has shifted toward fast-paced and highly engaging formats. This trend raises questions about the potential effects of continuous exposure to brief and repetitive audiovisual stimuli on attention. Research on short-form video’s impact on attention is limited, but prior studies suggest it may influence attention in meaningful ways. This study examined the relationship between short-form video consumption and attention among TikTok users (N = 110) by using the Attention Network Task (ANT), which measures the alerting, orienting, and executive control networks of visual attention. Participants were …

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Deep Learning For The Early Detection Of Invasive Ductal Carcinoma In Histopathological Images: Convolutional Neural Network Approach With Transfer Learning, Naga Shreya Chilumukuru, Pragya Priyadarshini, Yawo Ezunkpe Aug 2025

Deep Learning For The Early Detection Of Invasive Ductal Carcinoma In Histopathological Images: Convolutional Neural Network Approach With Transfer Learning, Naga Shreya Chilumukuru, Pragya Priyadarshini, Yawo Ezunkpe

Faculty Research, Scholarly, and Creative Activity

Background: Invasive ductal carcinoma (IDC) is considered the most common form of breast cancer, accounting for a significant percentage of mortality worldwide. Therefore, its early detection is vital to further improve patients’ outcomes and survival rates. However, conventional diagnostic methods in the form of manual histopathological examinations are time-consuming, subjective, and prone to errors. Therefore, there is an urgent need to develop automated solutions for accurate IDC detection in histopathology images to assist pathologists in clinical decision-making. Objective: We aim to develop and validate a convolutional neural network (CNN) model for early detection of IDC by analyzing histopathological images. The …

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Spartan Daily, August 20, 2025, San Jose State University, School Of Journalism And Mass Communications Aug 2025

Spartan Daily, August 20, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 1

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Late Holocene Paleodietary Patterns Among The Ancestral Ohlone: Ecogeographic Partitioning Of Resources Along The San Francisco Bay Eastern Shore, Melanie M. Beasley, Eric J. Bartelink, Alan Leventhal, Monica V. Arellano, Richard Massiatt, Charlene Nijmeh Aug 2025

Late Holocene Paleodietary Patterns Among The Ancestral Ohlone: Ecogeographic Partitioning Of Resources Along The San Francisco Bay Eastern Shore, Melanie M. Beasley, Eric J. Bartelink, Alan Leventhal, Monica V. Arellano, Richard Massiatt, Charlene Nijmeh

Faculty Research, Scholarly, and Creative Activity

Objectives: In the San Francisco Bay Area, Late Holocene resource intensification models predict an increase in diet breadth and a reduction in foraging efficiency associated with an increase in population, sedentism, and territoriality among fisher-hunter-gatherer populations. Here we compare bone stable carbon (δ13C) and nitrogen (δ15N) isotope values of sites along the eastern bay shore to interpret how ecogeographical partitioning of resources by latitude and distance from the bay reflects differential access and control of resources. Materials and Methods: With the support of, and in collaboration with, the Muwekma Ohlone Tribe of the San Francisco Bay …

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The Sketches Of Infinite Data And Algorithms For Real-Time Data Insights, Vishnu S. Pendyala Aug 2025

The Sketches Of Infinite Data And Algorithms For Real-Time Data Insights, Vishnu S. Pendyala

Open Educational Resources

How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed …

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Multimodal Emotion Detection And Analysis From Conversational Data, Abhinay Jatoth, Faranak Abri, Tien Nguyen Aug 2025

Multimodal Emotion Detection And Analysis From Conversational Data, Abhinay Jatoth, Faranak Abri, Tien Nguyen

Faculty Research, Scholarly, and Creative Activity

—Emotion recognition in conversations has become increasingly relevant due to its potential applications across various fields such as customer service, social media, and mental health. In this work, we explore multimodal emotion detection using both textual and audio data. Our models leverage deep learning architectures, including Transformer-based models such as Bidirectional Encoder Representations from Transformers (BERT), Robustly optimized BERT approach (RoBERTa), Audio Spectrogram Transformer (AST), Wav2Vec2), Bidirectional Long Short-Term Memory (BiL-STM), and four fusion strategies that combine features from multiple modalities. We evaluate our approaches using two widely used emotion datasets, IEMOCAP and EMOV. Experimental results show that fusion models …

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Exploring The Ant: How Well Do Three Attention Networks Predict Road Hazard Perception, Xander Philip Martinez Aug 2025

Exploring The Ant: How Well Do Three Attention Networks Predict Road Hazard Perception, Xander Philip Martinez

Master's Theses

Hazard perception is the ability of a driver to anticipate emerging dangers. Driving is a complex activity requiring attention to various stimuli to prevent accidents. Prior studies have shown that older, experienced drivers detect more cues and perceive hazards better than younger, inexperienced drivers. Attention is multifaceted, and three visual attention networks were focused on in the study: alerting (readiness), orienting (spatial focus), and executive control (distraction inhibition). A sample of 95 participants completed two tasks: The Attention Network Test was used to assess these three attention networks, and to measure road hazard awareness, participants viewed short dashcam videos (~233 …

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Learning Structure With Multivariate Information Bottleneck And Exploration Of New Methods In Sequential Decision Making, Volodymyr Makarenko Aug 2025

Learning Structure With Multivariate Information Bottleneck And Exploration Of New Methods In Sequential Decision Making, Volodymyr Makarenko

Master's Theses

Research in useful information extraction has been motivated by the increasing demand to extract insights from unstructured data, and by the need to store and transmit great volumes of information, often originating in unstructured data such as videos. Research in rate distortion and information bottleneck paved the path for understanding and guiding the design of lossy encoders, capable of extracting relevant information. Independently, research in deep representation learning has enabled numerous applications for unstructured high-dimensional data such as images. However, the interpretability of the deep learning methods remained limited. Several desired properties of learned representations have been suggested, including disentanglement. …

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The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam Aug 2025

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

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Seasonality In Terminus Ablation Rates For The Glaciers In Greenland (Kalaallit Nunaat), K. C. Aman, Ellyn M. Enderlin, Dominik Fahrner, Twila Moon, Dustin Carroll Aug 2025

Seasonality In Terminus Ablation Rates For The Glaciers In Greenland (Kalaallit Nunaat), K. C. Aman, Ellyn M. Enderlin, Dominik Fahrner, Twila Moon, Dustin Carroll

Faculty Research, Scholarly, and Creative Activity

Marine-terminating glaciers of Greenland (Kalaallit Nunaat) have been losing mass since the 1990s, with a substantial portion caused by the effects of dynamic change. Conventional assessments of dynamic mass loss, however, often ignore the influence of terminus advance or retreat on the timing of mass loss. Here, we construct and analyze a decade (2013-2023) of monthly ice flux driven both by temporal variability in ice flow (i.e., discharge) and terminus position change - collectively called terminus ablation - for 49 marine-terminating glaciers in Greenland. We calculate terminus ablation rates using open-source datasets, including terminus position, ice surface elevation, ice thickness, …

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Quantifying Erosion Rates Of The Mission Hills Along The Calaveras, Mission, And Hayward Faults In Northern California To Better Understand The Role Of Fault Geometry On Surface Topography, Ian Duncan Lord Aug 2025

Quantifying Erosion Rates Of The Mission Hills Along The Calaveras, Mission, And Hayward Faults In Northern California To Better Understand The Role Of Fault Geometry On Surface Topography, Ian Duncan Lord

Master's Theses

The San Francisco Bay Area lacks publications on erosion rates and their relationship to restraining bend fault geometry. This thesis presents a detailed geochronologic study of erosion rates from the Mission Hills along the Calaveras, Mission, and Hayward faults located northeast of San Jose, California. The goals are to provide erosion rate values where none currently exist and to gain a better understanding of how fault geometry influences topography along restraining bends. To quantify the erosion rate of these faults, river sediments containing 10Be were collected from 14 catchments using well-established protocols. Of the successfully processed samples, the erosion rates …

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Moral And Ethical Nature In Confucian Liang-Zhi And Islamic Fitra: Comparative Perspectives On Innate Morality, Yanrong Shi Aug 2025

Moral And Ethical Nature In Confucian Liang-Zhi And Islamic Fitra: Comparative Perspectives On Innate Morality, Yanrong Shi

Comparative Philosophy

This article offers a comparative philosophical analysis of Confucian liang-zhi (innate moral knowledge) and Islamic fitra(primordial nature), focusing on their accounts of innate morality and moral epistemology. Drawing on classical Confucian sources—especially the praxis-oriented interpretation of Wang Yangming—and foundational Islamic texts and commentary, the study demonstrates that both traditions posit an inborn moral faculty grounding ethical universality and responsibility. Wang Yangming’s liang-zhi is conceived as an innate moral principle that, under the imperative of zhi (to actualize or extend), is continually activated through moral practice. In parallel, fitra is understood as a God-given orientation to truth, cultivated and safeguarded through …

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The Conventional Emptiness Of Human Beings: Reviewing Archer’S Theory Of Agency Through Nagarjuna’S Looking Glass, Federico Podestà Aug 2025

The Conventional Emptiness Of Human Beings: Reviewing Archer’S Theory Of Agency Through Nagarjuna’S Looking Glass, Federico Podestà

Comparative Philosophy

Margaret Archer is probably the critical realist who has most significantly affected the debate around the relationship between social structure and agency. In the volume, Being Human: The Problem of Agency, she aims to better define what is meant by the properties and causal powers of agency itself, i.e., self-consciousness and reflexivity. In this paper, this theoretical attempt is reviewed through the critical standpoint of Nagarjuna. Nagarjuna’s philosophy appears to be a particularly compelling tool for criticizing Archer’s theory. Claiming the emptiness of everything, the founder of the Buddhist Madhyamaka school provides a critical perspective for revising the distinctiveness of …

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A Constructive Engagement Between Oxford Ordinary Language Philosophy And Latin American & Latine Liberatory Philosophy, Alessandro R. Moscaritolo Palacio Aug 2025

A Constructive Engagement Between Oxford Ordinary Language Philosophy And Latin American & Latine Liberatory Philosophy, Alessandro R. Moscaritolo Palacio

Comparative Philosophy

In this paper, I bring into dialogue a movement in Latin American social and political philosophy – which I have named Latin American and Latine Liberatory Philosophy – and a Western, or more precisely global North, philosophical movement sometimes called Ordinary Language Philosophy. By ‘Latin American and Latine Liberatory Philosophy’, I refer to a movement, adumbrated at the dawn of the 19th century and developed during the 20th century, whose guiding theme is the political, social, and cultural liberation of Latin America (and global South peoples more generally). By ‘Ordinary Language Philosophy’, on the other hand, I refer …

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Reassessing The Deontological Undercurrents In Mo Zi’S Ethical Thought, Nuno Miranda Aug 2025

Reassessing The Deontological Undercurrents In Mo Zi’S Ethical Thought, Nuno Miranda

Comparative Philosophy

This article reexamines Mo Zi’s ethical philosophy, challenging the dominant interpretation of Mohism as a purely consequentialist or proto-utilitarian system. While Mo Zi’s emphasis on social utility—such as material welfare, population growth, and aversion to warfare—aligns with outcome-oriented reasoning, I argue that his invocation of the will of Heaven introduces a deontological dimension. Heaven’s will serves not merely as a heuristic for maximizing benefits but as an absolute moral standard, demanding adherence to duties like universal love and non-aggression, irrespective of immediate practical gains. Through a close reading of the Mo-Zi corpus, this study reveals a hybrid ethical framework that …

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Is The Mahāyāna Buddhist Doctrine Of Mutual Dependence A Case Of Begging The Question?, A. K. Jayesh Aug 2025

Is The Mahāyāna Buddhist Doctrine Of Mutual Dependence A Case Of Begging The Question?, A. K. Jayesh

Comparative Philosophy

This paper employs a number of argumentative strategies that the Buddhist philosopher Nāgārjuna employs in his Yukti-corpus to demonstrate that the Mahāyāna Buddhist doctrine of mutual dependence is not a case of begging the question. More precisely, this paper demonstrates that to say that A and B are mutually dependent is not to say that what grounds B is grounded in what it itself grounds; it is to say that both A and B lack ontological independence, and that they are a part of a changing, interdependent whole. Mutual dependence thus is a case of dynamic holism, and not of …

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Understanding And Evaluating Genomic Language Models, Aadit Kapoor Aug 2025

Understanding And Evaluating Genomic Language Models, Aadit Kapoor

Master's Theses

Large Language Models (LLMs) have shown remarkable capabilities in interpreting complex patterns across various domains, yet their application to genomic data remains limited. We see great potential in leveraging LLMs for vital biological tasks, such as predicting transcription factor binding sites and identifying antibiotic-resistant genes. This emergent behavior positions LLMs as powerful tools for enhancing our understanding of intricate biological language. LLMs trained specifically on genomic data, such as DNA sequences, operate distinctly compared to those trained on natural language. This difference is evident not only in the architectural landscape of the models but also in the methodologies employed by …

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The Impact Of Early Life Experiences On Math Confidence, Nhu X. Hin Aug 2025

The Impact Of Early Life Experiences On Math Confidence, Nhu X. Hin

Master's Theses

Students form beliefs about their academic abilities through a combination of emotional experiences and early learning environments. While prior research has documented how math anxiety can undermine performance and how early experiences with math-typed activities can foster positive attitudes, less is known about how these factors collectively influence students’ math confidence. The present study investigates how math anxiety, engagement in childhood math-typed activities, and perceived support for math-related learning contribute to college students’ confidence in their math abilities. Participants (N = 102) completed self-report measures assessing each of these constructs. A multiple regression analysis revealed that the three predictors collectively …

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International Collaboration To Explore Elements For An Effective Residential Childcare Workforce, Justyna Siemionow, Patrick M. Tyler, W. Alex Mason, Deogratias Musoke, Maia Ordonez, Jaime A. Gomez-Blaya, Joseph G. Grzywacz Aug 2025

International Collaboration To Explore Elements For An Effective Residential Childcare Workforce, Justyna Siemionow, Patrick M. Tyler, W. Alex Mason, Deogratias Musoke, Maia Ordonez, Jaime A. Gomez-Blaya, Joseph G. Grzywacz

Faculty Research, Scholarly, and Creative Activity

Residential childcare workers provide critical support to vulnerable children around the world. Building and maintaining a qualified residential childcare workforce is challenged by myriad forces, the foremost of which is recruiting and retaining staff for valuable work often misaligned with available compensation; making individual qualifications at hiring; ongoing training; supervision; and data support systems to monitor performance critical for quality care. This study explored the similarities and differences among these essential elements of staffing across distinct programs: Youth Education Centers (YEC) in Poland, CiudadEscuela Muchachos (CEMU) in Spain, and the Boys Town Family Home Program (BTFHP) in the United States. …

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Sea Otter Behavior And Prey Composition Across Alternative Reef States In Monterey, Ca: Applying Ecological Theory To Kelp Restoration, Carter Hawkins Aug 2025

Sea Otter Behavior And Prey Composition Across Alternative Reef States In Monterey, Ca: Applying Ecological Theory To Kelp Restoration, Carter Hawkins

Master's Theses

Due to a myriad of factors, giant kelp (Macrocystis pyrifera) abundance along the California coast has decreased in select areas, leading to the formation of lower-diversity ecosystems dominated by purple sea urchins (Strongylocentrotus purpuratus), known as “urchin barrens.” While sea otters (Enhydra lutris) are keystone predators that help maintain kelp forests through predation on sea urchins, in Monterey, they avoid barren sea urchins due to their low energetic value and abundance of other habitat types, limiting their influence in these areas. From 2021-2023, sea urchin culling at Tankers Reef, a former barren site in Monterey Bay, was conducted to promote …

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The Anti-Work Attitude Scale: Conceptualizing And Measuring The Resistance To The Institution Of Work, Alayna Del Rosario Aug 2025

The Anti-Work Attitude Scale: Conceptualizing And Measuring The Resistance To The Institution Of Work, Alayna Del Rosario

Master's Theses

Recent shifts in labor discourse have drawn attention to rising burnout, declining organizational commitment, and diminishing job satisfaction, which challenge traditional assumptions about the centrality and desirability of work. These tensions have given rise to the concept of anti-work, a growing discourse that questions the moral, economic, and psychological foundations of work itself. Despite its cultural relevance, anti-work remains largely undertheorized and unmeasured in empirical research. Drawing from interdisciplinary scholarship, this study defined anti-work as a negative critique of work as a social construct, questioning its value, purpose, and impact on individuals and society. Anti-work was operationalized through two higher-order …

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Latticeanalytics: Strut-Level Visualization And Inspection Of Additively Manufactured Lattice Structures, Haichao Miao, Saurabh Narain, Vuthea Chheang, Garrett Hooten, Raiyan Seede, Pavol Klacansky, Kaila Morgen Bertsch, Gabe Guss, Brian Giera, Peer Timo Bremer Aug 2025

Latticeanalytics: Strut-Level Visualization And Inspection Of Additively Manufactured Lattice Structures, Haichao Miao, Saurabh Narain, Vuthea Chheang, Garrett Hooten, Raiyan Seede, Pavol Klacansky, Kaila Morgen Bertsch, Gabe Guss, Brian Giera, Peer Timo Bremer

Faculty Research, Scholarly, and Creative Activity

Additive manufacturing (AM) is revolutionizing the production of custom components with complex internal geometries, essential for high-performance applications in diverse fields such as medicine and defense. These AM parts optimize strength while minimizing weight by utilizing internal lattice structures consisting of large quantities of small interconnected struts. However, the complexity of these structures, combined with the challenges of using X-ray Computed Tomography (XCT) data, makes validation of part reliability difficult. This ultimately inhibits the development of novel parts for our collaborating material scientists. We introduce LatticeAnalytics, a novel framework specifically designed for visual inspection of defects in these lattice structures. …

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Acoustic Presence Of Humpback Whales (Megaptera Novaeangliae) In U.S. West Coast National Marine Sanctuaries, John C. Barkowski Aug 2025

Acoustic Presence Of Humpback Whales (Megaptera Novaeangliae) In U.S. West Coast National Marine Sanctuaries, John C. Barkowski

Master's Theses

Humpback whales are one of many species of marine mammal that utilize sound in multiple aspects of their lives in the oceans. By collecting acoustic data from multiple areas across the habitat of these animals, we can investigate spatiotemporal patterns in their sound production to better understand their life history strategy. This study uses three years of passive acoustic data collected concurrently from three U.S. West Coast National Marine Sanctuaries to look for spatiotemporal patterns in humpback whale song and non-song vocalizations. Additionally, this study investigated correlations between upwelling conditions and the onset of song to explore links between the …

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Coloring Outside The Lines: Factors Facilitating Divergent Thinking, Michelle Baca Reinke Aug 2025

Coloring Outside The Lines: Factors Facilitating Divergent Thinking, Michelle Baca Reinke

Master's Theses

Divergent thinking involves producing a multitude of unique and diverse ideas. The ability to “color outside the lines” is crucial to business, education, and social domains. The flexibility, originality, and fluency dimensions of divergent thinking are commonly assessed using the Alternative Uses Task, which involves generating uses for common objects. Prior research suggests that high identification (first-person perspective) with schema-inconsistent experiences increases flexibility, while semantic density (degree of conceptual associations) impacts originality and fluency inversely. However, their combined effects across multiple divergent thinking dimensions remain unexplored. The present research investigated the interactive effects of identification (high, low), schema consistency (consistent, …

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Roadside Asset Extraction From Mobile Lidar Point Cloud, Yushin Ahn, Riadh Munjy, Stephen Choi Aug 2025

Roadside Asset Extraction From Mobile Lidar Point Cloud, Yushin Ahn, Riadh Munjy, Stephen Choi

Mineta Transportation Institute

Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile Terrestrial Laser Scanning (MTLS) data, focusing on road lane detection, cross-section slope analysis, and point cloud classification. Roadside asset extraction is the identification and classification of roadside features like signs and poles. The dataset, acquired using a high-resolution mobile LiDAR system, contains over 5.7 billion points (pieces of data) across …

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