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ARCE 415 Portfolio: The Green Bird of Paradise
Get PDFA design project creating a Polyshell sunshade structure for the Leaning Pine Arboretum
bell hooks Feminist Pedagogy in the Library Classroom
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Playing with Privilege: A Creative Way for Students to Unpack Privilege
Get PDFAlthough privilege is a foundational concept in many courses, students often have only a vague notion of it, which hinders discussion and analysis. This activity/assignment, grounded in bell hooks\u27 engaged pedagogy, tasks students with visually representing and explaining a concrete instance of privilege to their peers. Through creating comic strips, students must interrogate their assumptions of privilege and begin to encounter its intersectional structure. Creating comic strips that depict privilege helps students grasp the concept and apply it in their self-reflection. Moreover, this establishes a foundation from which students can interrogate the positions of privilege that structure their social realities
Electrochromic Smart Glass: Supplier Comparison Return on Investment Analysis
Get PDFIn recent years, sustainability in construction has become the focus of how the industry can progress with minimal environmental impact. As sustainability certifications become more desirable, key companies in the construction industry have started to seek greener alternatives to standard building systems. There are many sustainable products that are released, but these products are typically so complex that members of the industry are not familiar with these new systems. One novel piece of technology introduced to the industry is electrochromic glass, or smart glass. Electrochromic glass windows examine sunlight and heat exposure from the surrounding environment and change their opacity to maximize utility of the natural environment and increase indoor environmental quality. This report will determine the feasibility, advantages, and disadvantages of utilizing electrochromic glass windows in commercial construction projects. The primary focus of this report is a Return on Investment (ROI) comparison between three smart glass manufacturers. Currently, there is very limited data on the effectiveness of this technology as it only appeared in the industry in 2010. Through conducting interviews with several smart glass suppliers and material data analysis, the most current implications of electrochromic technology in commercial construction have been compared and analyzed in this report
Soilborne Pathogens Of Strawberry In The Central Coast Region Of California: Survey And Cover Cropping With Wheat For Management Of Macrophomina Phaseolina
Get PDFSurveys of the four major soilborne pathogens of strawberry (Fusarium oxysporum f. sp. fragariae, Macrophomina phaseolina, Phytophthora spp., and Verticillium dahliae) to determine their relative prevalence were conducted in Watsonville-Salinas, CA in 2021 and in Santa Maria, CA in 2022. All four major pathogens were detected at relatively similar prevalence in Watsonville-Salinas, between 22% and 31% of sampled fields. In Santa Maria, M. phaseolina was far more prevalent at 52% of sampled fields, the other three falling between 14% and 17%. Additionally replicated greenhouse and field trials were conducted to evaluate the effects of wheat as a single season cover crop on Macrophomina root rot of strawberry and the soil microbiome. Greenhouse trials and the first year of the field trial are described here and demonstrate a lack of substantial disease mitigation or pathogen reduction in the soil following wheat growth compared to no-treatment control. Significant changes were seen in the soil microbiome following wheat growth, including the significant amplification of several bacterial species known to be antagonistic to plant-pathogenic fungi
Towing Safety Mechanism
Get PDFOur team was tasked with creating a system that automatically disconnects the direct drive of our towable auger, the Dirt Dawg, when the machine is ready to be towed. Since our Critical Design Report (CDR), the team made detailed designs for the systems we need to ensure fail-safe and easy automation of the Dirt Dawg and its direct drive system. We needed the best way for us to translate the motion of our hitch handle to the gear system. The team found that bike brake cables would be a direct translation of motion and offer no resistance regardless of its path. Next, we determined a complete redesign of the front handle was unnecessary, and we were better suited to upgrade the current model to be our front anchor for the cable. We have included our designs, verification, and recommendations for the future. With all this information, our sponsor should be able to replicate our design with ease
Artificial Intelligence Integration in Construction: A Cal Poly Curriculum Assessment
Get PDFIn a rapidly evolving industry where AI enhances efficiency and safety, questions are being raised on whether it should be introduced in the classroom. This research project is with the intention of understanding if and how artificial intelligence should be incorporated into Cal Poly’s construction management curriculum. The research combines a literature review establishing AI\u27s relevance in construction project management with a survey-based methodology to gauge industry perspectives. Today, the global construction market witnesses a surge in AI adoption in its planning, construction, and O&M phases. In turn, the industry has benefited from its application in mitigation of risks, improved productivity, and automation. The survey conducted was emailed to the Construction Management Advisory Council (CMAC) to uncover industry opinion. Of these participants, 45% of them had prior knowledge in construction AI. The data found that despite a lack of confidence in artificial intelligence\u27s application, learning about AI driven software and its data analysis may benefit students\u27 careers, attract recruiters, and help in adapting to evolving industry trends. This project recommends that artificial intelligence is introduced into the construction management curriculum. This forward-looking approach has the potential to enhance Cal Poly as a leading institution in construction management education
Predicting Location and Training Effectiveness (PLATE)
Get PDFAbstract Predicting Location and Training Effectiveness (PLATE) Erik Bruenner
Physical activity and exercise have been shown to have an enormous impact on many areas of human health and can reduce the risk of many chronic diseases. In order to better understand how exercise may affect the body, current kinesiology studies are designed to track human movements over large intervals of time. Procedures used in these studies provide a way for researchers to quantify an individual’s activity level over time, along with tracking various types of activities that individuals may engage in. Movement data of research subjects is often collected through various sensors, such as accelerometers. Data from these specialized sensors may be fed into a deep learning model which can accurately predict what movements a person is making based on aggregated sensor data. However, in order for prediction models to produce accurate classifications of activities, they must be ‘trained’. Training occurs through the process of supervised learning on large amounts of data where movements are already known. These training data sets are also known as ‘validation’ data or ‘ground truth’.
Currently, generation of these ground truth sets is very labor-intensive. To generate these labeled data sets, research assistants must analyze many hours of video footage with research subjects. These research assistants painstakingly categorize each video, second by second, with a description of the activity the subject was engaging in. Using only labeled video, the PLATE project facilitates the generation of ground truth data by developing an artificial intelligence (AI) that predicts video quality labels, along with labels that denote the physical location that these activities occurred in.
The PLATE project builds on previous work by a former graduate student, Roxanne Miller. Miller developed a classification system to categorize subject activities into groups such as ‘Stand’, ‘Sit’, ‘Walk’, ‘Run’, etc. The PLATE project focuses instead on development of AI to generate ground truth training in order to accurately detect and identify the quality of video data, and the location of the video data. In the context of the PLATE project, video quality refers to whether or not a test subject is visible in the frame. Location classifications include categorizing ‘indoors’, ‘outdoors’, and ‘traveling’. More specifically, indoor categories are further identified as ‘house’, ‘office’, ‘school’, ‘store’ or ‘commercial’ space. Outdoor locations are further classified as ‘commercial space’, ‘park/greenspace’, ‘residential’ or ‘neighborhood’.
The nature of our location classification problem lends itself particularly well to a hierarchical classification approach, where general indoor, outdoor, or travel categories are predicted, then separate models predict the subclassifications of these categories. The PLATE project uses three convolutional neural networks in its hierarchical location prediction pipeline, and one convolutional neural network to predict if video frames are high or low quality.
Results from the PLATE project demonstrate that quality can be predicted with an accuracy of 96%, general location with an accuracy of 75%, and specific locations with an accuracy of 31%. The findings and model produced by the PLATE project are utilized in the PathML project as part of a ground truth prediction software for activity monitoring studies.
PathML is a project funded by the NIH as part of a Small Business Research Initiative. Cal Poly partnered with Sentimetrix Inc, a data analytics/machine learning company, to build a methodology for automated labeling of human physical activity. The partnership aims to utilize this methodology to develop a software tool that performs automatic labeling and facilitates the subsequent human inspection. Phase I (proof of concept) of the project took place from September 2021 to August 2022, Phase II (final software production) is pending. This thesis is part of the research that took place during Phase I lifetime, and continues to support Phase II development
AS-961-23 Resolution on UFPP 12.3 Assigned Time for Exceptional Service to Students
Get PDFUpdates section 12.3 of the UFPP to reflect the revisions in the attached report, which revises the criteria and policy of the ATESS program
Skip the Grid: Solar Powered Systems in the Navajo Nation
Get PDFThe Skip the Grid initiative, a collaboration between Cal Poly students, SOLV Energy, Goal Zero, and facilitated by the non-profit Heart of America, aimed to enhance the quality of life for Navajo Nation families. Facing disparities in access to electricity and exacerbated by the COVID-19 pandemic, the project installed photovoltaic energy systems with lights in 27 homes, benefiting students of the Red Mesa Unified School District. This initiative addressed the challenges of remote learning by providing reliable, no-cost, off-grid power solutions. Completed on March 30, 2023, the project not only improved the immediate circumstances in the Navajo Nation, but also served as a learning opportunity for Cal Poly students. Drawing from previous installations in 2022, the team developed an enhanced roadmap for future projects, aiming to bring power to every home in the region. This experience allows students to offer construction recommendations, streamlining future installations and contributing to the long-term sustainability of the Skip the Grid initiative