Digital Commons Network^™

Mechanism Of Seismic Liquefaction For Heterogeneous Soil, Radu Popescu, Pradipta Chakrabortty

Architectural Engineering

In addition to inducing uncertainty in the predicted response, natural spatial variability of soil properties affects the mechanical response of geotechnical structures. When a failure surface is involved in the response, this surface can deviate from its theoretical location to pass through weaker zones of material. For the case of seismically induced soil liquefaction, it has been found that a larger amount of excess pore water pressure is generated in a soil exhibiting small-scale variability of its properties than in the corresponding uniform soil having geomechanical properties equal to the average properties of the heterogeneous soil. An explanation for this …

2022/2023 Robert E. Kennedy Library Annual Report, Robert E. Kennedy Library

Library Publications and Administrative Reports

This year’s Annual Report is the first “outside” edition of Inside 35 following the closure of the library’s home, Building 35, in June 2023. Kennedy Library remains an active partner in Cal Poly’s curricular and scholarly endeavors from many locations across campus. Learn about our Librarian-Scholars collaborating with students and colleagues on research projects across several disciplines. Discover the comprehensive collection of the works of Joe D’Ambrosio that was generously donated to Special Collections and Archives in 2019. Read an update on the building transformation project and meet the Design-Build Team of Hensel-Phelps and the Miller Hull Partnership. Kennedy Library …

Machine Learning Prediction Of Hea Properties, Nicholas J. Beaver, Nathaniel Melisso, Travis Murphy

College of Engineering Summer Undergraduate Research Program

High-entropy alloys (HEA) are a very new development in the field of metallurgical materials. They are made up of multiple principle atoms unlike traditional alloys, which contributes to their high configurational entropy. The microstructure and properties of HEAs are are not well predicted with the models developed for more common engineering alloys, and there is not enough data available on HEAs to fully represent the complex behavior of these alloys. To that end, we explore how the use of machine learning models can be used to model the complex, high dimensional behavior in the HEA composition space. Based on our …

Robotic Origami Worm, Carter Josef, Michael Freeman, Mohammad Hasan

College of Engineering Summer Undergraduate Research Program

Soft robotics can solve many unique engineering problems. The ancient art of origami has inspired design for a new breed of robots. In this research, a novel fold design was created which has high linear stiffness, high bending stiffness, and the ability to deform omnidirectionally in order to turn. The robot is operated using a DC motor to expand and contract and electromagnets to control friction. The robot moves very quickly compared with many other origami robots in the literature. Other interesting ways to control friction were explored including expansion mechanisms. An origami design was created and tested that expands …

Exoskeletons - Designing For Social Justice, Grace Cd Murphy

College of Engineering Summer Undergraduate Research Program

Many engineering professionals believe that discussions surrounding diversity, equity, and inclusion (DEI), and social justice do not belong in engineering because engineering is supposed to be a neutral or objective field. Through an extensive review of the literature and a survey sent out to potential users, the need for DEI in engineering was examined. Many current engineering projects do not take into consideration social justice principles which leaves certain groups further marginalized and disempowered while empowering a select few. Engineering has the opportunity to be a field of service, but first risks and benefits must be weighed and the outcome …

Deep Semantic Hashing For Aerial Livestock Detection, Shosei Anegawa, Franz Kurfess, Sumona Mukhopadhyay

College of Engineering Summer Undergraduate Research Program

The goal of this project is to be able to accurately detect and count livestock in footage captured by a drone in real time. The main problems with this arise from the fact that a drone can only carry limited computing resources, and hashing is conventionally thought of as a great method of doing image classification very quickly and thus even on low-power devices. In this project, we use both a Faster-RCNN, which is a state-of-the art object detection model as a benchmark to develop a hashing model that can perform a similar task much more quickly. These two models …

Exploring And Operationalizing Inclusive Teaching In Engineering Education, Keith Fouch, Ellie Abundo

College of Engineering Summer Undergraduate Research Program

Inclusive teaching is vital in engineering education because of its potential to enhance learning for all students. The purpose of this research is to explore faculty experiences with inclusive teaching, specifically focused on engineering settings. Our findings highlight dominant beliefs, practices, and challenges that emerged from our preliminary analysis. Future work will corroborate these findings with additional faculty as well as engineering student perspectives and beliefs.

Building A Benchmark For Industrial Iot Application, Pranay K. Tiru, Soma Tummala

College of Engineering Summer Undergraduate Research Program

In this project, we have developed a rather robust means of processing and displaying large sums of IoT data using several cutting-edge, industry-standard technologies. Our data pipeline integrates physical sensors that send various environmental data like temperature, humidity, and pressure. Once created, the data is then collected at an MQTT broker, streamed through a Kafka cluster, processed within a Spark Cluster, and stored in a Cassandra database.

In order to test the rigidity of the pipeline, we also created virtual sensors. This allowed us to send an immense amount of data, which wasn’t necessarily feasible with just the physical sensors. …

Characterization Of Ground Albedo Materials For Bifacial Solar Farms, Fernanda De Los Angeles Garcia, Benny Tam, Jean Lee, James Vance

College of Engineering Summer Undergraduate Research Program

Bifacial photovoltaics can collect solar energy from both sides, unlike regular one-sided solar panels. With the ability to collect energy from both sides, the energy production of bifacial photovoltaic farms is about 2-6% more efficient than typical solar farms. However, the increase in efficiency is highly dependent on the reflectivity of the ground material. This project explores six different materials to determine which material would be best to implement as a ground material for a bifacial photovoltaic farm, based on their mechanical properties and albedo value. Albedo refers to the ratio between the reflected solar radiation to the incident solar …

Exploring Cognition And Affect During Human-Cobot Interaction, Angelika T. Canete, Javier Gonzalez-Sanchez, Rafael Guerra Silva

College of Engineering Summer Undergraduate Research Program

Collaborative robots (Cobots) have recently gained popularity due to their capability to work collaboratively with human operators. This collaborative relationship has been named under the robotics discipline of Human-Robot Collaboration (HRC), in which humans and robots work together to accomplish a common task while also being in the same physical space. An important part of collaboration is the human's decision-making, which is largely affected by their affective and cognitive state. A cobot lacks this fundamental understanding of the human operator. In this research, we utilize a server-client program to communicate the affective states of a human user to a Raspberry …

Validation Of Macro Button Toolbar System For Radiology Report Composition, Brennan L. Chow

College of Engineering Summer Undergraduate Research Program

The macro button toolbar system was developed to enhance radiologist report composition and improve group productivity in response to a rise in imaging volume and an impending radiologist workforce shortage. This research aims to validate the proposed benefits of the macro button toolbar system using an analysis of a time study and the radiology group’s historical wRVU productivity data. The study found that radiologists using this system achieved significantly higher productivity compared to national averages, with high toolbar users experiencing a 29% increase in wRVU productivity and a 52.6% reduction in report completion time for X-ray exams. The reduced report …

Dei: Exploring Academic Reflections Using Natural Language Processing To Create A Roadmap Of Student Success And Foster Inclusive Engineering Education, Rajvir H. Vyas, Nidhi Raviprasad

College of Engineering Summer Undergraduate Research Program

Every year, the College of Engineering (CENG) students and faculty reach out to admitted students through “Text-a-Thon” programs to answer their questions about being a student at Cal Poly. In order to improve CENG outreach efforts, we analyzed these text conversations to predict the likelihood of an admitted student accepting an offer of admission from Cal Poly. Through our research, we discovered key factors that play a role in a student committing to Cal Poly through data-based insights. Additionally, we successfully used a human-on-the-loop system to help create Machine Learning (ML) models that predict satisfaction of response by way of …

Mechanical Design And Fabrication Of Rotating Test Stand For Supersonic Wind Tunnel, Suren I. Sanai, Sam Groom, Peter Kim, Nandeesh Hiremath

College of Engineering Summer Undergraduate Research Program

This research project focuses on the design and manufacturing of a rotating test stand for the Cal Poly Supersonic Wind Tunnel (SSWT). In order to establish essential design parameters, the project employs compressible flow isentropic relationships to calculate the Mach number within the test section and determine static pressures. This comprehensive effort integrates preliminary design and manufacturing processes, utilizing CAD designs and a range of machinery for component fabrication, while also highlighting initial testing of the rotating test stand's ability to withstand predicted aerodynamic loads. As part of the research's future work, rigorous structural stability testing and the implementation of …

Integrating Human Expert Knowledge With Openai And Chatgpt: A Secure And Privacy-Enabled Knowledge Acquisition Approach, Ben Phillips

College of Engineering Summer Undergraduate Research Program

Advanced Large Language Models (LLMs) struggle to produce accurate results and preserve user privacy for use cases involving domain-specific knowledge. A privacy-preserving approach for leveraging LLM capabilities on domain-specific knowledge could greatly expand the use cases of LLMs in a variety of disciplines and industries. This project explores a method for acquiring domain-specific knowledge for use with GPT3 while protecting sensitive user information with ML-based text-sanitization.

Development Of User Interface And Testing Harness, Jacob Amezquita, William Albertini

College of Engineering Summer Undergraduate Research Program

No abstract provided.

Ai For Search And Rescue - Locating A Missing Person, David Hernandez, Sai Rama Balakrishnan, Timmy Chin, Aditya Manikonda, Vasanth Pugalenthi

College of Engineering Summer Undergraduate Research Program

Building on the work done initially as a SURP 2021 project and continued through 2021-23, the focus for this summer project will be on the use of computer technology for locating a missing person. Over the last year, we developed the digital equivalents of about 30 paper-based S&R forms and the infrastructure to collect the respective information. In their current use, these paper forms are filled out by search teams, collected in a command post, and reviewed by search coordinators. This process is time-consuming, prone to errors and loss of information, and relies heavily on the experience, skills, and mental …

Signatures Of Feedback In The Spectacular Extended Emission Region Of Ngc 5972, Thomas Harvey, W. Peter Maksym, William Keel, Michael Koss, Vardha N. Bennert, S. Drew Chojnowski, Ezequiel Treister, Carolina Finlez, Chris J. Lintott, Alexei Moiseev, Brooke D. Simmons, Lia F. Sartori, Megan Urry

Physics

We present Chandra X-ray Observatory observations and Space Telescope Imaging Spectrograph spectra of NGC 5972, one of the 19 ‘Voorwerpjes’ galaxies. This galaxy contains an extended emission-line region (EELR) and an arcsecond scale nuclear bubble. NGC 5972 is a faded active galactic nucleus (AGN), with EELR luminosity suggesting a 2.1 dex decrease in L_bol in the last ∼5 ×10⁴ yr. We investigate the role of AGN feedback in exciting the EELR and bubble given the long-term variability and potential accretion state changes. We detect broad-band (0.3–8 keV) X-ray emission in the near-nuclear regions, coincident with the [O III …

Hardware-In-The-Loop Reaction Wheel Testbed With Camera Vision, Abigail Romero, Harvey Perkins, Stephen Kwok-Choon

College of Engineering Summer Undergraduate Research Program

Reaction wheels are widely used in aerospace systems as a method of attitude control. This research was focused on the design, development, and testing of a hardware-in-the-loop reaction wheel testbed that can be used for research and teaching applications related to satellite navigation and control. This project successfully utilized commercial off-the-shelf components to develop a reaction wheel capable of controlling the orientation of a freely rotating platform, as well as tracking objects using computer vision.

Communicating The Need To Communicate - Lessons Learned From Failure Point To A Need For Systems Perspectives, Calvin J. Fong, Elizabeth Matranga, Dianne J. Deturris

College of Engineering Summer Undergraduate Research Program

Failure investigation reports indicate that a systems perspective is needed to reduce failure in aerospace missions.

The failures occurred not because of a technical problem but because not enough communication was occurring.

Drones For Marine Science And Agriculture, David Caldera, Sai Murthy

College of Engineering Summer Undergraduate Research Program

Our research project was launched at Cal Poly in 2019 with the goal of assisting researchers at the CSULB Shark Lab in detecting sharks from aerial images. Under the guidance of Dr. Franz J. Kurfess, students trained an object detection algorithm using shark images and were able to achieve high rate of detection. Following this success, the team has constructed multiple drones and expanded their research to include applications in the fields of agriculture and ecology. This summer the goal is to use a iPhone 14 Pro in lieu of a traditional camera system for real-time object recognition. Object detection …

Ethics And Social Justice For Ai In Data Science, Arya Ramchander, Kylene Nicole Landenberger

College of Engineering Summer Undergraduate Research Program

The advances of AI raise several critical questions about human values and ethics, highlighting the need for researchers and developers to consider the ethical implications and the risks of neglecting them. In the past few years, student researchers have developed an AI model that allows users to test their surveys for possible breaches of subject confidentiality. This allows the users to gauge the ethicality of their proposal. This summer, we have expanded on this research and launched an interactive model for students and researches to assess their current work for ethical and social justice implications. Using Langchain and Figma, we …

Exploring Approaches To Engage K-12 Students In Learning Computational Thinking Using Collaborative Robots, Zoila Anuri Kanu

College of Engineering Summer Undergraduate Research Program

Minority students are largely underrepresented in the STEM field. The goal for this project was to develop a program which promotes the inclusion of computation skills among students and help them work collaboratively with the use of human – robot interaction. Robots are such a strong tool that can be used to enhance computational thinking and engage students towards a technical field. Through workshops and readings about computational thinking we worked on building a block-based program that introduces the uses of robots as teaching tool for computational thinking.

Additive Manufacturing For Medical Education, Michael Noon

College of Engineering Summer Undergraduate Research Program

A growing body of evidence is suggesting that anatomical knowledge, the keystone of many medical specialties, is suffering among new graduates. While a host of reasons are provided, one common thread that many point to is the decline of cadaver dissections in the classroom. Many virtual audio-visual tools are used to address this gap, yet evidence has shown their ineffectiveness. Given this gap, the high degree of flexibility found in additive manufacturing (AM), and the many uses AM has already found in the medical field, we propose its use to fill this gap, allowing for students to learn with touch …

Review Study On Promoting Diversity And Inclusion In Engineering Education Through Digital Twins, Devon Bountry

College of Engineering Summer Undergraduate Research Program

This study investigates the effect of digital twins in engineering education. This research was based on published research papers, conference papers, and case studies. Throughout a large range of studies, it was shown that digital twins can increase learning motivation and retainment through uses such as game-centered learning, personalized learning, and virtual prototyping. Particularly in engineering laboratory classes, digital twins can increase the variety of laboratory options while not increasing the cost due to equipment. This results in less barriers for students as there are more learning tools available at no additional cost or other requirements.

Sociotechnical Thinking In Statics And Dynamics, Raul Espinoza

College of Engineering Summer Undergraduate Research Program

This project introduced Canvas modules to instill a sociotechnical mindset in engineering students. By emphasizing the synergy between social and technical systems, the modules aim to produce engineers capable of crafting solutions that are technically adept and socially responsible.

Time-Lapse Imaging Of Colorectal Cancer Tumors, Jasmeet Sandhu

College of Engineering Summer Undergraduate Research Program

This project was aimed to test and validate a newly constructed live-cell imaging system that allows for imaging and live cells and tissues. This system is comprised of an incubation chamber that controls that temperature and pH of live cell culture while on a microscope.

Upper Limb Tensegrity Exoskeleton, Emily Mendyke, Sha'anan Levy, Alan Zhang

College of Engineering Summer Undergraduate Research Program

Tensegrity structures are composed of stiff rods and elastic cables suspended in a flexible tension network. Their inherent properties have several key advantages when used in assistive medical devices such as supportive braces or rehabilitation exoskeletons: 1) the lightweight and natural compliance reduces the power consumption required to operate the system; 2) the system stiffness and pretension can be individually tuned to accommodate the user’s needs; and 3) the impact-resistant properties can protect users in the event of collisions and falls. This project explores the design space of assistive tensegrity devices to augment human dexterity in the upper limb. Suitable …

Student’S Conceptualization Of Engineering Design Over Multiple Design Experiences, Caitlyn Berryhill

College of Engineering Summer Undergraduate Research Program

Cal Poly’s undergraduate engineering program requires a design experience for each of the four years. This research project's focus is to better understand how students are conceptualizing engineering design over their multiple design projects. Data was collected through a comprehensive survey given to 73 engineering students. The questions in this survey targeted student’s comprehension and relationship with design, as well as their demographics and course history. Open-ended questions were organized using a thematic coding system which were then compared to the demographics and course history information. This process resulted in four separate comparisons between the survey questions. Interpreting these results …

Wood Diaphragm Deflections. Part I: Generalizing Standard Equations Using Mechanicsbased Derivations For Panel Construction, John W. Lawson, Scott Breneman, Marco Lo Ricco

Architectural Engineering

Horizontal wood diaphragm systems, whether decked with conventional or mass timber panels, transfer wind and seismic loads to vertical elements of the lateral force-resisting system (LFRS), in flexible, rigid, or semi-rigid fashion. Characterizing and calculating the resulting diaphragm deflections determines the distribution of forces to critically loaded components and a significant portion of lateral building translations and rotations. Deflection equations for sheathed wood structural panel (WSP) diaphragms are well established in U.S. design standards in a 4-term expression that models flexural, shear, and fastener-slip deformations and its full derivation using principles of mechanics is provided herein. Derivations of similar equations …

Knowledge And Use Of Paced Bottle-Feeding Among Mothers Of Young Infants, Alison K. Ventura, Vivian M. Drewelow

Kinesiology and Public Health

Objective: To describe mothers’ awareness and use of paced bottle-feeding (PBF) and to investigate whether the use of PBF was associated with maternal characteristics and infant feeding practices.

Methods: Cross-sectional, online survey. Participants were mothers of infants < 12 months of age (n =197). Participants self-reported their awareness and use of PBF, demographic characteristics, and infant feeding practices.

Results: Of the 41% of participants who indicated they had or maybe had heard of PBF, 23% used PBF and 35% sometimes used PBF. Use of PBF was not associated with mother or infant characteristics. Participants who used PBF were significantly less likely to encourage their infant to finish the bottle (odds ratio,0.04; 95% confidence interval, 0.01−0.79).

Conclusions and Implications: Paced bottle-feeding was …