Digital Commons Network^™

A Simulation Framework To Understand The Error Generation And Propagation Of Quantum Algorithms, Anika Zaman

Master's Theses

In this work, we present a Python framework designed to demonstrate various error types within quantum circuits through the utilization of probabilistic data obtained from quantum computers. The framework serves as a valuable tool for monitoring and mitigating errors across all stages of quantum circuits involving multiple qubits and gates. Leveraging the Harrow-Hassidim-Lloyd (HHL) quantum circuit, we conduct an analysis of errors on an IBM quantum computer and subsequently optimize the circuit. The paper introduces an automated methodology for computing single bit-flip errors and propagation errors, and gate errors offering insights into opportunities for mitigating errors in the context of …

An Exploration Of Dimensionality Reduction Of Dynamics On Lie Groups Via Structure-Aware Canonical Correlation Analysis, Wooyoung Chung

Master's Theses

Incorporating prior knowledge into a data-driven modeling problem can drastically improve performance, reliability, and generalization outside of the training sample. The stronger the structural properties, the more effective these improvements become. Manifolds are a powerful nonlinear generalization of Euclidean space for modeling finite dimensions. When additionally assuming that the manifold carries (Lie) group structure, this imposes a drastically stricter global constraint. The range of their applications is very wide and includes the important case of robotic tasks. We apply this idea to Canonical Correlation Analysis (CCA). In traditional CCA one constructs a hierarchical sequence of maximal correlations of up to …

Seasonal Dynamics Of The Introduced Sponge Hymeniacidon Perlevis In The Elkhorn Slough, California, Usa, Jackson Hoeke

Master's Theses

Hymeniacidon perlevis is a cosmopolitan sponge with a seasonal life cycle We investigated seasonal and interannual dynamics of H. perlevis in Elkhorn Slough estuary, where it is an introduced species, and explored correlations between sponge cover and environmental conditions. We used sponge cover to estimate the potential effects H. perlevis on its environment and how those could vary across its seasonal life cycle. We found that successful recruitment is currently restricted to the upper estuary and while it varies annually, the frequency and density of sponge recruits have generally increased from 2007 to 2023. A seasonal life cycle was confirmed …

Comparing Shade And Impervious Surface Area With Extreme Heat And Environmental Equity: An Analysis Of The Urban Heat Island Effect In Santa Clara County, California, Jamsheed R. Mistry

Master's Theses

In the modern epoch of the Anthropocene, the rapid rise in urban sprawling has prompted a disproportionate exposure to extreme heat within underserved communities. As the global populace becomes increasingly urbanized, the inevitable formation of urban heat islands is becoming an imminent cause of concern for environmental and social justice. Due to an increase in urbanization, anthropogenic activities have not only increased the energy demand for cooling initiatives but also have increased the intensity of heat-related illnesses, such as heart attacks, dehydration, and respiratory diseases. Additionally, urbanization has yielded an unequal distribution of heat exposure and heat-related illnesses, particularly in …

Domain Specific Aspect Extraction For Product Design, Divyam Sobti

Master's Theses

As technology advances, computers become increasingly proficient at interpreting and translating human language into machine-understandable text. With the help of algorithms in natural language processing (NLP), machines can now translate textual data. These algorithms help identify and extract specific text components known as aspects. The aspects represent specific attributes or topics within textual data. For instance, an Amazon review states,“ This phone has good battery life but poor camera quality,” and attributes like ‘battery life’ and ‘camera quality’ represent aspects in the text. Aspect extraction is a pivotal process involving identifying and isolating key features or topics within text. This …

History Education: Learning History From Community College Students’ Perspectives, Mylinh V. Pham

Dissertations

Given the current political climate of division, the study of history is important now more than ever, but the value of the study of history has been marginalized. This study used student focus groups to understand ways in which history could be taught in such a way that its importance is emphasized through relevance and connection to current social and political issues and through student-centered learning. This study also determined how history could help students evaluate and think critically about historical content. This study drew on the experiences of community college students who have taken a higher education history course …

Furman, Burford J., San Jose State University

Emeritus and Retired Faculty Biographies

Stanford University, Mechanical Engineering, Ph.D. 1991

University of California, Davis ‐ Mechanical Engineering, M.S. 1982

University of California, Davis ‐ Mechanical Engineering, B.S. 1980

Awareness And Use Of Open Access (Oa) Initiatives In Ensuring Free Access To Information Among Librarians In Academic Libraries In Nigeria, Glory Edet, Millie Nne Horsfall

Library Philosophy and Practice (e-journal)

This study was carried out to investigate the Awareness and Use of Open Access Initiatives in Ensuring Free Access to Information in Academic Libraries in Nigeria. The descriptive survey research design was adopted for this study. Five research objectives and five research questions were formulated to guide the study. The population of this study comprised librarians in academic libraries in South-South, Nigeria. Data for the study was collected using a structured questionnaire developed by the researcher and was administered online using Google forms. 62 forms were filled and submitted from the professional platforms. The study used frequency counts and percentages …

Whaley, George L., San Jose State University

Emeritus and Retired Faculty Biographies

University of Colorado, Boulder, Organizational Behavior, Finance, and Management Science, 1974 Ph.D.

University of Arizona, 1966 M.B.A.

University of Arizona, Engineering Mathematics, 1964 B.S.

Kauppila, Paul (1960-2022), San Jose State University

Emeritus and Retired Faculty Biographies

University of Texas at Austin, Graduate School of Library & Information Science, MLIS, 1993

San Francisco State University, Broadcast Communication Arts, BA 1989

Automated Fuel Vending Machine, Kush Desai

Student RSCA

This paper introduced an Automated Fuel Vending Machine system meticulously designed to address fuel dispensing challenges in developing countries. Traditional vending machines entail significant yearly installation costs and substantially burden economies with limited resources. This system emerged as a practical solution to alleviate long queues at petrol pumps, particularly in densely populated regions such as India. The system reduced labor costs and simplified fuel dispensing by eliminating the need for a salesperson. The design focused on creating a cost-effective and easily installable solution, meeting the modern demand for efficient and rapid service. The automated system proved a feasible alternative, offering …

Assessing Gtfs Accuracy, Gregory L. Newmark

Mineta Transportation Institute

The promised benefits of the General Transit Feed Specification (GTFS) Schedule and Realtime standards are dependent on the underlying quality of the data. Despite this fundamental reliance, there has been relatively little research on techniques and strategies to assess GTFS accuracy. The need for such assessment is growing as federal and state governments increasingly require transit agencies to make these data available to the public. This research fills this gap by presenting a suite of methods and metrics to assess the temporal accuracy of GTFS Realtime and the spatial accuracy of GTFS Schedule feeds. The temporal assessment demonstrates an approach …

Time-To-Failure Prediction Of Fine-Grained Soil Slopes Subject To Weather-Driven Deterioration, Arm M. Morsy

Mineta Transportation Institute

Embankments have been widely used in the construction of transportation and flood defense infrastructure. Embankments constructed from clays experience a suite of weather-driven deterioration processes that lead to a progressive loss of hydromechanical performance, causing potentially severe and costly consequences. This study aimed to predict the time to failure of aging, deteriorating clay embankments supporting transportation infrastructure. A multi-phase numerical modeling approach was developed to replicate the long-term, weather-driven, hydromechanical behavior of clay embankments. This model simulated the behavior of a number of well-documented embankment failure case studies that had sufficient data to derive the necessary soil properties and climate …

Ten Years Forward: An Evaluation Of California’S Active Transportation Program, Bruce Appleyard, Mario Carbajal, Madison Swayne, Nell Ahangarfabrik, Megan Honey

Mineta Transportation Institute

California’s Active Transportation Program (ATP) is a competitive, grant-based program that serves as a major funding stream for active transportation infrastructure in California. The program has six goals based on increasing nonmotorized transportation, safety, equity, sustainability, and health. Evaluation of the ATP’s administrative and scoring processes is crucial to ensure goals are met as equitably and efficiently as possible. Additionally, establishing a methodology for evaluating the safety impacts of active transportation projects is critically important. Through a series of interviews and an extensive review of the documents and rubrics of the program, this report discusses how the Active Transportation Program …

Is Parking Cash-Out Worth It? Comparing Cost-Effectiveness And Climate And Equity Benefits In The Bay Area And South Coast Air Quality Management Districts, Fynnwin Prager, Tianjun Lu, Ashley Membere, Parveen Chhetri

Mineta Transportation Institute

This research explores the potential impacts of California parking cash-out policy changes on the Bay Area and LA County. Parking cash-out—a California law since 1992—requires that certain qualifying employers who subsidize employee parking offer employees the option to give up their parking space and receive cash instead. Studies show parking cash-out substantially reduces VMT and emissions, yet enforcement remains voluntary. Current policy covers few firms (<1%) and employees (around 11%) in the study regions. Policy reform to include companies with 20+ employees could increase this to 18%. Our experimental-design survey (n=963) explores behavioral changes in response to multiple policy variables and finds that 76.9% of employees would accept cash-out if offered, and that participants who had to pay the market rate for parking and were full-time commuters were more likely to switch to using public transportation at lower cash minimums. VMT related to employees covered by parking cash-out are substantial (5.6 million in the Bay Area; 5.7 million in LA County), and account for a combined 6,593 daily tons of GHG. As even limited adoption could have significant environmental benefits, parking cash-out would be a more cost-effective approach to reducing VMT than traditional TDM programs such as trip-reduction programs, workplace parking taxation, or transit subsidies and road diets, though further evidence on the direct influence of parking cash-out on commuter behavior is needed.

Liu, Mengxiong, San Jose State University

Emeritus and Retired Faculty Biographies

University of Michigan, Ann Arbor, MI, School of Informational & Library Studies, Ph.D., 1990

University of Denver, Denver, CO, Graduate School of Librarianship & Information Management, M.L.S., 1983

International Studies University, Shanghai, China, English Department, B.A., 1968

Ai And Lifelong Learning: Examining Ai’S Role In Lifelong Learning And Professional Development., Victor Omeiza Jatto, Oluwadamisola Modupe Olayemi, Morakinyo Sunday Fakunle

Library Philosophy and Practice (e-journal)

The emergence of Artificial Intelligence (AI) has transformed educational paradigms and professional development, altering how knowledge is acquired, refined, and applied throughout an individual's life. This paper explores the pivotal role(s) of AI in facilitating lifelong learning—a continuous, voluntary pursuit of knowledge driven by individual and professional motivations. AI's capability to personalize learning experiences, provide real-time feedback, and predict future learning needs is fundamental to this transformation. Key applications of AI in education include intelligent coaching systems, adaptive learning platforms, and AI-powered tools such as virtual tutors and chatbots. These technologies have confirmed significant potential in enhancing learning outcomes, reducing …

Shape Memory Polymers In 4d Printing: Investigating Multi-Material Lattice Structures, David Pokras, Yanika Schneider, Sohail Zaidi, Vimal K. Viswanathan

Faculty Research, Scholarly, and Creative Activity

This paper evaluates the design and fabrication of a thermoplastic polyurethane (TPU) shape memory polymer (SMP) using fused deposition modeling (FDM). The commercially available SMP filament was used to create parts capable of changing their shape following the application of an external heat stimulus. The characterization of thermal and viscoelastic properties of the SMP TPU revealed a proportional change in shape fixity and recovery with respect to heating and cooling rates, as well as a decreasing softening temperature with increasing shape memory history due to changes in the polymer microstructure. Inspired by the advancements in 3D and 4D printing, we …

Ultrathin Boron Growth Onto Nanodiamond Surfaces Via Electrophilic Boron Precursors, Krishna Govindaraju, Tyanna Supreme, Daniel N. Labunsky, Nicole Martin, Juan Miguel Del Rosario, Alana Washington, Ezhioghode O. Uwadiale, Solomon Adjei, Sandra Ladjadj, Cynthia V. Melendrez, Sang Jun Lee, Maria V. Altoe, Avery Green, Sebastian Riano, Sami Sainio, Dennis Nordlund, Abraham Wolcott

Faculty Research, Scholarly, and Creative Activity

Diamond as a templating substrate is largely unexplored, and the unique properties of diamond, including its large bandgap, thermal conductance, and lack of cytotoxicity, makes it versatile in emergent technologies in medicine and quantum sensing. Surface termination of an inert diamond substrate and its chemical reactivity are key in generating new bonds for nucleation and growth of an overlayer material. Oxidized high-pressure high temperature (HPHT) nanodiamonds (NDs) are largely terminated by alcohols that act as nucleophiles to initiate covalent bond formation when an electrophilic reactant is available. In this work, we demonstrate a templated synthesis of ultrathin boron on ND …

Comparison Of Transport Models In Dense Plasmas, Zachary A. Johnson, Luciano G. Silvestri, George M. Petrov, Liam G. Stanton, Michael S. Murillo

Faculty Research, Scholarly, and Creative Activity

We compare a variety of models used for the calculation of transport coefficients in dense plasmas, including average-atom models, models based on kinetic theory, structure matching effective potentials, and pair-potential molecular dynamics. In particular, we focus on the parameter space investigated in the second charged-particle transport coefficient code comparison workshop [Stanek et al., Phys. Plasmas 31, 052104 (2024)]. Each model is based on the self-consistent output of our average-atom calculations. Ionic transport properties are generated from implicit electron pair matched molecular dynamics simulations, bypassing the need for either dynamical electron simulations or on-the-fly electronic structure calculations. These matched pair potentials …

Smart City Community Watch—Camera-Based Community Watch For Traffic And Illegal Dumping, Nupur Pathak, Gangotri Biswal, Megha Goushal, Vraj Mistry, Palak Shah, Fenglian Li, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? The smart city community watch program developed using YOLOv5 for object detection and DeepSORT for multi-object tracking achieves 97% accuracy in detecting illegal dumping. The web-based application integrates person detection, trash detection, license plate detection and extraction, and a decision algorithm aiding government agencies to monitor and effectively manage illegal dumping. What are the implications of the main findings? With the 97% detection accuracy and real-time detection capabilities of the YOLOv5- and DeepSORT-based solution, this solution can help in saving government expenditure to clean up illegal dumping. The solution can be integrated with smart …

Kritisamhita: A Machine Learning Dataset Of South Indian Classical Music Audio Clips With Tonic Classification, Samhita Konduri, Kriti V. Pendyala, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

There are currently a limited number of Indian classical music datasets, especially those large enough and with useful annotations, particularly the subtler ones, such as the tonic, for training classification or prediction models. The dataset described in this paper is created with useful tonic annotations, to fill this gap. The tonic pitch, or base pitch, plays an important role in music, so much so that it is sometimes called the keynote. The vocalists and the accompanying instrumental ensemble are fine-tuned to this keynote to render the composition. The first and second authors of this paper, who are vocalists themselves, recorded …

Moving Towards The Electrification Of Medium- And Heavy-Duty Vehicles In The Inland Empire, Kimberly Collins, Raffi Der Wartanian, Francisca Beer, Yunfei Hou

Mineta Transportation Institute

This report investigates the transition to zero-emission medium- and heavy-duty vehicles (MDHD) within California’s Inland Empire (IE), emphasizing the significance of electric vehicle charging infrastructure and opportunity charging strategies in facilitating sustainable transportation. Utilizing a mixed-methods approach that combines a systematic literature review, geospatial and big data analytics, and thematic analysis of expert interviews, the study explores the multifaceted challenges and opportunities of electrification. The literature review assesses policies at various governance levels, while geospatial analysis identifies regional traffic patterns and infrastructure needs. Big data analytics examine vehicle movements, complemented by insights from interviews with 16 regional experts, offering a …

Forecasting Commercial Vehicle Miles Traveled (Vmt) In Urban California Areas, Steve Chung, Jaymin Kwon, Yushin Ahn

Mineta Transportation Institute

This study investigates commercial truck vehicle miles traveled (VMT) across six diverse California counties from 2000 to 2020. The counties—Imperial, Los Angeles, Riverside, San Bernardino, San Diego, and San Francisco—represent a broad spectrum of California’s demographics, economies, and landscapes. Using a rich dataset spanning demographics, economics, and pollution variables, we aim to understand the factors influencing commercial VMT. We first visually represent the geographic distribution of the counties, highlighting their unique characteristics. Linear regression models, particularly the least absolute shrinkage and selection operator (LASSO) and elastic net regressions are employed to identify key predictors of total commercial VMT. LASSO regression …

Threat And Hazard Identification And Risk Assessment (Thira) Guidance For Railroads, Frances L. Edwards, Daniel C. Goodrich

Mineta Transportation Institute

Climate change creates new challenges for all critical transportation infrastructure, especially for railroads with an open system that is continuously exposed to the elements. A Threat and Hazard Identification and Risk Assessment (THIRA) is a necessary first step for an organization to understand the challenges and develop strategies for adaptation to them. In many cases, the railroad sector is uniquely positioned to mitigate greenhouse gas emissions through mitigation steps. This guide will assist railroad risk managers and emergency managers to evaluate the risks and determine how best to respond to them through preparation, mitigation, or adaptation. The THIRA is the …

Tai Chi Expertise Classification In Older Adults Using Wrist Wearables And Machine Learning, Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, Manuel E. Hernandez

Faculty Research, Scholarly, and Creative Activity

Tai Chi is a Chinese martial art that provides an adaptive and accessible exercise for older adults with varying functional capacity. While Tai Chi is widely recommended for its physical benefits, wider adoption in at-home practice presents challenges for practitioners, as limited feedback may hamper learning. This study examined the feasibility of using a wearable sensor, combined with machine learning (ML) approaches, to automatically and objectively classify Tai Chi expertise. We hypothesized that the combination of wrist acceleration profiles with ML approaches would be able to accurately classify practitioners’ Tai Chi expertise levels. Twelve older active Tai Chi practitioners were …

Mathias, Harry, San Jose State University

Emeritus and Retired Faculty Biographies

San Francisco State University, Radio, Television, Film, BA, 1968

San Francisco State University, Creative Arts Interdisciplinary Studies with emphasis Film Production, Broadcast TV Production, Broadcast Engineering, Drama, and Computer Graphic Video Imaging Systems Design, MA,1974,

Information Management Practices As Correlate Of Service Delivery In Special Libraries In Rivers State, Nigeria, Crescentia Worigida Eleto Department Of Library And Information Science, Obilor Esezi Isaac

Library Philosophy and Practice (e-journal)

This study investigated the relationship between information management practices and service delivery in special libraries in Rivers State. The study was guided by three specific objectives, three research questions and three hypotheses. The design adopted for this study was the correlational survey research design. The population of the study was 75 staff from 18 organizations in Rivers State. Given the manageable population of 75 library staff, the census enumerative sampling technique was employed for the study. The instrument used for data collection was two structured questionnaires titled "Information Management Practices Questionnaire (IMP-Q) and Service Delivery Questionnaire (SD-Q)". Instruments were subjected …

Villagran, Gilbert Joseph, San Jose State University

Emeritus and Retired Faculty Biographies

San Jose State University, Social Work, 1976 MSW

San Jose State University, Community College Teaching Credential, 1973

San Jose State University, Philosophy, 1971 BA

Comparison Between Ribosomal Assembly And Machine Learning Tools For Microbial Identification Of Organisms With Different Characteristics, Stephanie Chau, Carlos Rojas, Jorjeta G. Jetcheva, Mary Markart, Sudha Vijayakumar, Sophia Yuan, Vincent Stowbunenko, Amanda N. Shelton, William B. Andreopoulos

Faculty Research, Scholarly, and Creative Activity

Background: Genome assembly tools are used to reconstruct genomic sequences from raw sequencing data, which are then used for identifying the organisms present in a metagenomic sample. Methodology: More recently, machine learning approaches have been applied to a variety of bioinformatics problems, and in this paper, we explore their use for organism identification. We start by evaluating several commonly used metagenomic assembly tools, including PhyloFlash, MEGAHIT, MetaSPAdes, Kraken2, Mothur, UniCycler, and PathRacer, and compare them against state-of-the-art deep learning-based machine learning classification approaches represented by DNABERT and DeLUCS, in the context of two synthetic mock community datasets. Results: Our analysis …