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Articles 331 - 360 of 18466
Full-Text Articles in Entire DC Network
Best Practices In Marketing And Creative Outreach For New Transportation Technologies, William Riggs, Caillou Dasalla, Cayden Rooney, Vaasu Bhartia
Best Practices In Marketing And Creative Outreach For New Transportation Technologies, William Riggs, Caillou Dasalla, Cayden Rooney, Vaasu Bhartia
Mineta Transportation Institute
Emerging transportation technologies—including electric vehicles (EVs), micromobility solutions, autonomous vehicles (AVs), hyperloop systems, and mobility-as-a-service (MaaS) platforms—are rapidly reshaping mobility patterns and urban environments. As these innovations gain traction, it becomes increasingly important to address concerns, communicate advantages, and foster trust across communities. This project examines marketing best practices for promoting emerging mobility solutions, synthesizing insights from scholarly research, industry standards, and case studies of successful campaigns. Emphasis is placed on the shift toward “snackable,” visually engaging content delivered through widely used social media platforms such as TikTok, Instagram, and Snapchat, which are increasingly central to reaching diverse audiences. The …
Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association
Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association
Emeritus and Retired Faculty Association (ERFA) Newsletter
Volume 39, No 1
Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 17
The Access Assembly: Learning Together, Building Friendships, And Strengthening Our Leadership Capacities, Chandra Turpen, Brianne Gutmann, Robert P. Dalka, Gina M. Quan, Mackenzie Carlson, Joel C. Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn E. Shafer
The Access Assembly: Learning Together, Building Friendships, And Strengthening Our Leadership Capacities, Chandra Turpen, Brianne Gutmann, Robert P. Dalka, Gina M. Quan, Mackenzie Carlson, Joel C. Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn E. Shafer
Faculty Research, Scholarly, and Creative Activity
Founded in 2014, the Access Network brings together nine student-centered, university-based programs that pursue systemic change towards a vision of a more diverse, equitable, inclusive, and accessible STEM community. Leaders at the Network-level and program-level are either current students (undergraduate or graduate) or young faculty and professional scientists, many of whom started out as student leaders in Access programs. Over the last 9 years, Access has brought people together (virtually or in-person) for an annual event called the "Assembly." Student leaders who attend the Assembly appreciate community-building and networking opportunities that help them build capacity for leading local site programming. …
The Access Assembly: Sharing Ideas And Enabling Informed Adaptations, Brianne Gutmann, Chandra Turpen, Robert P. Dalka, Mackenzie Carlson, Joel Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn Shafer
The Access Assembly: Sharing Ideas And Enabling Informed Adaptations, Brianne Gutmann, Chandra Turpen, Robert P. Dalka, Mackenzie Carlson, Joel Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn Shafer
Faculty Research, Scholarly, and Creative Activity
Founded in 2014, the Access Network brings together nine student-centered, university-based programs that are pursuing systemic change towards a vision of a more diverse, equitable, inclusive, and accessible STEM community. Network and program leaders are primarily students (undergraduate and graduate) and early-career faculty, many of whom started out as student leaders in Access programs. Over the last nine years, Access has brought people together (virtually or in-person) for an annual event called the “Assembly.” The environment and structures at the Assembly enable the sharing of ideas, excite people to translate those ideas to their local programs, and create space for …
A Holistic Inquiry Of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, And Challenges, Sahar Ghanipoor Machiani, Nusheen Baradaran, Arash Jahangiri
A Holistic Inquiry Of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, And Challenges, Sahar Ghanipoor Machiani, Nusheen Baradaran, Arash Jahangiri
Mineta Transportation Institute
Speeding is a leading contributor to roadway fatalities in the United States, and California consistently ranks among states with the highest number of speed-related crashes. Intelligent Speed Assistance (ISA) technology has emerged as a solution aimed at mitigating this issue by notifying drivers of speed limits and, in some cases, intervening and lowering the speed to the posted speed limit. This work presents a comprehensive investigation into ISA system safety benefits, implementation challenges, and public perception, with a focus on California drivers. This study utilized a multi-method approach. A literature review explores the history, regulatory barriers, and international trails of …
Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian
Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian
Mineta Transportation Institute
Wildfires are escalating in frequency and severity due to climate change, posing increasing threats to human life, infrastructure,and ecosystems. Traditional wildfire management systems struggle to respond effectively to rapidly evolving fire conditions. This research presents a novel, AI-powered Wildfire Emergency Response and Evacuation Framework that integrates autonomous unmanned aerial vehicles (UAVs, AKA “drones”), multi-sensor data fusion, and machine learning (ML) for real-time fire detection, evacuation planning, and search and rescue (SAR) operations. Central to the system is the Dynamic Wildfire Response Algorithm (DWRA), a hybrid decision-making framework combining AI-driven techniques including reinforcement learning (RL), genetic algorithms (GA), and deep learning …
Robust Hashing For Improved Cnn Performance In Image-Based Malware Detection, Sanket Shekhar Kulkarni, Fabio Di Troia
Robust Hashing For Improved Cnn Performance In Image-Based Malware Detection, Sanket Shekhar Kulkarni, Fabio Di Troia
Faculty Research, Scholarly, and Creative Activity
This paper presents a comparative study on the impact of robust hashing in enhancing image-based malware classification. While Convolutional Neural Networks (CNNs) have shown promise when working with image-based malware samples, their performance degrades significantly when obfuscation techniques are taken into consideration to hamper the malware classification or detection. To address this, we apply a robust hashing technique that generates invariant visual representations of malware samples, enabling improved generalization under obfuscation implemented as image salting. Using a custom obfuscation method to simulate polymorphic variants, we evaluate MobileNet, ResNet, and DenseNet architectures across five salting conditions (0% to 40%). The results …
Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele
Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele
Faculty Research, Scholarly, and Creative Activity
Uncontrolled anthropogenic activities have increased river pollution, resulting in poor water quality and a growing need for continuous monitoring, which is time-consuming and costly. This study evaluated the accuracy of machine learning (ML) models in predicting dissolved oxygen (DO) levels, aiming to reduce field monitoring efforts and minimize the number of measured parameters. Regression models (Huber, Linear, Ridge), Bagging methods (Extra Trees, Random Forest, Decision Trees), and Boosting techniques (Gradient Boosting, Light Gradient Boosting, AdaBoost) were tested using data from three sites in the Manawatu Catchment, New Zealand. Data spanning 1989–2014 included 12 water quality variables and was split into …
Converse Of Ptolemy’S Theorem, Hidefumi Katsuura
Converse Of Ptolemy’S Theorem, Hidefumi Katsuura
Faculty Research, Scholarly, and Creative Activity
In The Almagest, we found the original Ptolemy’s theorem and its proof, and we compared it to “Ptolemy’s theorem” written in two modern geometry textbooks. They are different in that the new ones include the “converse” of the original one. We noticed the hypothesis of the “converse” can be interpreted in two ways. Using this as our motivation, we establish a new theorem related to Ptolemy’s theorem in this note as follows: If four distinct points A, B, C, D are given in the three-dimensional space so that ABC is a triangle, and if |AB||CD|+|AD||BC|=|AC||BD|, then the points A, B, …
Spartan Daily, September 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 15
Synthetic Social Engineering Scenario Generation Using Llms For Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, Sayma Akther
Synthetic Social Engineering Scenario Generation Using Llms For Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, Sayma Akther
Faculty Research, Scholarly, and Creative Activity
Social engineering is found in a strong majority of cyberattacks today, as it is a powerful manipulation tactic that does not require the technical skills of hacking. Calculated social engineers utilize simple communication to deceive and exploit their victims, all by capitalizing on the vulnerabilities of human nature: trust and fear. When successful, this inconspicuous technique can lead to millions of dollars in losses. Social engineering is not a one-dimensional technique; criminals often leverage a combination of strategies to craft a robust yet subtle attack. In addition, offenders are continually evolving their methods in efforts to surpass preventive measures. A …
Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo
Faculty Research, Scholarly, and Creative Activity
Biological prompting or human teleoperation have been appealing to many researchers lately. Hands-free and voice-free command or control of vehicles, aircraft, machines, robots, etc. would provide huge convenience to users and allow them for multi-tasking. In this work, we would like to dedicate to a new biological prompting function, namely automatic directional control using instantaneous eye gaze data. In this work, we would like to investigate how to apply advanced machine-learning models to design novel automatic gaze-direction identification techniques. We explore the difficulty, namely infliction with outliers and variations, in dealing with eye-tracking data and propose to transform the original …
The Contemporary Tax Journal Volume 13, No. 2 – Winter 2024
The Contemporary Tax Journal Volume 13, No. 2 – Winter 2024
The Contemporary Tax Journal
No abstract provided.
Understanding Section 1202: The Qualified Small Business Stock Exemption, Myra Sutanto Shen
Understanding Section 1202: The Qualified Small Business Stock Exemption, Myra Sutanto Shen
The Contemporary Tax Journal
No abstract provided.
Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 12
Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal
Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal
Faculty Research, Scholarly, and Creative Activity
This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.
Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan
Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan
Faculty Research, Scholarly, and Creative Activity
Compound precipitation-wind extremes (CPWEs) pose significant socio-economic challenges in urban areas, with the most severe impacts often felt by vulnerable populations. While CPWE studies have often focused on large-scale assessments, localised urban contexts, at a scale of a city and its suburban surroundings, remain understudied, particularly in terms of how CPWEs might differentially impact different socio-economic communities. This study aims to advance understanding of how CPWEs interact with social vulnerability at a localised scale, using the San Francisco Bay Area (SFBA)—a global hotspot for CPWEs with diverse climates, physiography, and socio-economic factors—as a test case. Daily precipitation and wind speed …
Gc-Ms-Based Metabolomics For Understanding The Metabolite Profile Of Mopane Worm (Gonimbrasia Belina) And Sorghum (Sorghum Bicolor L), Mpho Sebabiki Maleke, Tumisi Beiri Jeremiah Molelekoa, Jonathan Wilkin, Xi Feng, Moira Ledbetter, Oluwafemi Ayodeji Adebo
Gc-Ms-Based Metabolomics For Understanding The Metabolite Profile Of Mopane Worm (Gonimbrasia Belina) And Sorghum (Sorghum Bicolor L), Mpho Sebabiki Maleke, Tumisi Beiri Jeremiah Molelekoa, Jonathan Wilkin, Xi Feng, Moira Ledbetter, Oluwafemi Ayodeji Adebo
Faculty Research, Scholarly, and Creative Activity
Edible insects are nutritious, having high levels of protein, essential amino acids, healthy fats, vitamins, and minerals. In areas where sorghum is a primary crop, mixing this gluten-free grain with protein-rich insect powder provides a novel approach to making nutrient-rich products. Understanding the sorghum and mopane worm flours' metabolomic changes during bioprocessing can however, enhance their nutritional value and food safety. The research investigated metabolite compounds that are found in raw and processed (fermented, malted (sorghum), and ultrasonicated) mopane worms and sorghum. In the study, sorghum grains were traditionally fermented and malted at 35°C for 48 h and ultrasonicated for …
Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare
Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare
Faculty Research, Scholarly, and Creative Activity
Highlights: What are the main findings? A smart transport management system based on UAV data integrating advanced machine learning and deep learning techniques is proposed to enhance road anomaly detection and severity classification. The system employs a comprehensive multi-stage framework, integrating a high-precision obstacle detection model, six specialized severity classification models, and an aggregation model to deliver accurate anomaly assessment, enabling strategic, data-driven road maintenance and enhanced transportation safety. What is the implication of the main finding? A scalable and efficient solution is proposed to enhance road safety and optimize transportation management through intelligent anomaly detection and severity assessment. This …
Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum
Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum
Faculty Research, Scholarly, and Creative Activity
Clinical notes often contain unstructured text filled with abbreviations, non-standard terminology, and inconsistent phrasing, which pose significant challenges for automated medical information extraction. Named Entity Recognition (NER) plays a crucial role in structuring this data by identifying and categorizing key clinical entities such as symptoms, medications, and diagnoses. However, traditional and even transformer-based NER models often struggle with ambiguity and fail to produce clinically interpretable outputs. In this study, we present a hybrid two-stage framework that enhances medical NER by integrating a fine-tuned BERT model for initial entity extraction with a Dictionary-Infused Retrieval-Augmented Generation (DiRAG) module for terminology normalization. Our …
Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 10
Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu
Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu
Faculty Research, Scholarly, and Creative Activity
Background: Home repurposing can help enhance accessibility for people with mobility impairments. However, residents may hesitate to implement such changes without clear evidence showing the effectiveness. Purpose: The study integrates virtual reality (VR) systems and wearable technology to provide the effectiveness evidence of home repurposing, reducing residents’ hesitancy. Here, VR allows residents to compare old and new home designs, while wearables offer direct evidence through motion and task analysis. Methods: Twenty-one participants conducted two consecutive activities of daily living (i.e., relocating the robe and going to the bathroom) in original and redesigned bedrooms simulated in the VR system. Participants’ performance …
(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler
(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler
Faculty Research, Scholarly, and Creative Activity
Water system centralization and decentralization have variously been promoted as key to achieving household water security and Sustainable Development Goal 6.1. We argue that the lack of specificity with which scholars and practitioners use the terms centralization and decentralization limits our understanding of different water system configurations and their impacts. In this Primer, we provide a framework for thinking about levels of (de)centralization across three linked system dimensions: infrastructure, governance, and operations and maintenance. We encourage those analyzing water systems to characterize (de)centralization with respect to these multiple dimensions, as well as the system's broader political-economic and hydro-climatic contexts. Emphasizing …
Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu
Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu
Faculty Research, Scholarly, and Creative Activity
The 2007 MLA report offered guidelines and competencies for foreign language majors at American universities in the age of globalization. The notion of translingual and transcultural competence suggests that today’s foreign language education is not merely a matter of language acquisition, but humanistic learning. The ultimate goal for foreign language learners should be to gain alternative ways of seeing the world, namely, “imagining the unimaginable” (Ozick, 1987). This underscores the central importance of empathy in foreign language education. Yet the true challenge lies in how to assess such an abstract concept. Even eighteen years since its initial publication, the report …
Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu
Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu
Faculty Research, Scholarly, and Creative Activity
Mixed-phase clouds contribute to substantial uncertainties in global climate models due to their complex microphysical properties. Former model evaluations almost exclusively rely on satellite observations to assess cloud phase distributions globally. This study investigated mixed-phase cloud properties using near global-scale in situ observation data sets from 14 flight campaigns in combination with collocated output from a global climate model. The Southern Hemisphere (SH) shows significantly higher occurrence frequencies and higher mass fractions of supercooled liquid water than Northern Hemisphere (NH) based on observations at 0.2 and 100 km horizontal scales. Such hemispheric asymmetry is not captured by the model. The …
Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 9
Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang
Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang
Faculty Research, Scholarly, and Creative Activity
Ports and maritime operations generate massive real-time data streams, particularly from Automatic Identification System (AIS) signals, which are challenging to query effectively using natural language. This study proposes a prototype AISStream-MCP, a memory-augmented real-time maritime question-answering (QA) system that integrates live AIS data streaming with a Model Context Protocol (MCP) toolchain to support port operations decision-making. The system combines a large language model (LLM) with four MCP-enabled modules: persistent dialogue memory, live AIS data query, knowledge graph lookup, and result evaluation. We hypothesize that augmenting an LLM with domain-specific tools significantly improves QA performance compared to systems without memory or …
Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 8
Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 7