41530 research outputs found
Sort by
AS-975-24 Resolution to Amend Deadline to Opt-In to Credit, No-Credit Grading
Resolves that the Academic Senate of California Polytechnic State University, San Luis Obispo supports modifying the deadline for students to choose the CR/NC grading option to up to 80% of instruction and that this provision become effective Summer 2024
AS-972-24 Resolution on Credit for Prior Learning (CPL) Policy
Adopts the attached policy on Credit for Prior Learning, and further resolves that faculty and staff serving as CPL coordinators, challenge exam administrators, portfolio assessors, or evaluators of other outside credit will be compensated for their service to a degree commensurate with the required additional workload; and further resolves that the Academic Senate recommends, that before this policy goes into effect, the Campus Fee Advisory Committee in consultation with the Office of the Provost determine the appropriate fees to be charged students for the evaluation of challenge exams and CPL portfolios to offset the additional faculty and staff workload and whether these fees may be waived in specific circumstances, and that these fees be regularly reviewed, and further resolves that the Academic Senate recommends that a staff assignment of Credit for Prior Learning Coordinator be established, with responsibilities such as described in Appendix II of the attached policy; and further resolves that after this policy goes into effect the Office of the Registrar will work to identify currently matriculated veterans and service members and award retroactive C2 credit as described in Section 5.a.v of the attached policy to eligible active students; and further resolves that after this policy goes into effect currently matriculated students will have a one term ‘grace period’ to apply for CPL that they may have been eligible for at the time of their first enrollment at Cal Poly
The Wall Group
This project aimed to design and construct an art wall in Poly Canyon to deter graffiti on existing structures and provide a designated area for student expression. However, after prolonged iterative revisions, it became evident that the project was significantly behind the original timeline.
It was recommended that the wall proposal be submitted for future student implementation. Instead of constructing the wall, an alternative course of action was proposed: restoring an existing structure in Poly Canyon to provide the desired hands-on experience.
After careful consideration, the Techite Bridge was selected for restoration. The proposed plan involves thorough cleaning, repairing chipped areas with appropriate filler, and refinishing to restore the bridge
Matrix Approximation And Image Compression
This thesis concerns the mathematics and application of various methods for approximating matrices, with a particular eye towards the role that such methods play in image compression. An image is stored as a matrix of values with each entry containing a value recording the intensity of a corresponding pixel, so image compression is essentially equivalent to matrix approximation. First, we look at the singular value decomposition, one of the central tools for analyzing a matrix. We show that, in a sense, the singular value decomposition is the best low-rank approximation of any matrix. However, the singular value decomposition has some serious shortcomings as an approximation method in the context of digital images. The second method we consider is the discrete Fourier transform, which does not require the storage of basis vectors (unlike the SVD). We describe the fast Fourier transform, which is a remarkably efficient method for computing the discrete cosine transform, and how we can use this method to reduce the information in a matrix. Finally, we look at the discrete cosine transform, which reduces the complexity of the calculation further by restricting to a real basis. We also look at how we can apply a filter to adjust the relative importance of the data encoded by the discrete cosine transform prior to compression. In addition, we developed code implementing the ideas explored in the thesis and demonstrating examples
Practicing Feminist Disability Pedagogy: Building Interdependence through a Classroom Participation Menu
Following the lead of Parsloe & Smith (2022), this article explains and advocates possible modes of participation that consider the disabled, chronically ill, and systemically vulnerable students and faculty who are fighting to succeed in higher education. The way participation is measured in college classes is often ableist in nature; thus, it is important to unpack the ableist assumptions that undergird how we arrange and assess participation. Utilizing Knoll’s (2009) explication of interdependency as a practice of feminist disability pedagogy, this article offers a semester long activity called a participation menu, which provides a framework for distributing the responsibility of participation equitably among students and faculty
Foot and Ankle Exoskeleton
This paper presents a non-motorized foot and ankle exoskeleton to assist persons who have no lower limb or abdominal function. Exoskeletons are defined as “an artificial external supporting structure” [1], they are wearable devices that can be used to assist the capabilities of the human body. Although the exoskeleton must be used with crutches, plantarflexion and dorsiflexion will be implemented within the ankle joint to alleviate strain on the foot and ankle, strategically designed in a way that supports the user so their walking performance is as ideal as possible. Additionally, safety straps will be integrated into the foot portion of the exoskeleton to ensure ease of use when putting on the exoskeleton. Sensors will be implemented along the bottom of the foot endplate to evaluate weight distribution to aid in the creation of future exoskeletons. The ankle joint will incorporate a tab for linkage to attach to the rest of the LLEAP exoskeleton, which is concurrently being worked on.
The design process consisted of meetings with our sponsors, gathering customer requirements and engineering specifications, and creating preliminary sketches of potential designs for the prototype. The design process began by assessing key requirements to the prototype including plantar and dorsiflexion of 20° in both directions, supports high weight (total weight of exoskeleton and user), fits a wide range of feet, and cooperates with LLEAP’s exoskeleton. These features were implemented into the preliminary design and maintained through the various iterations of the prototype. Once the final prototype was manufactured and assembled, testing took place to ensure functionality of the device to meet customer requirements. The range of motion for the device in plantar and dorsiflexion were tested and confirmed 20 degrees of freedom in both directions. The device’s ability to fit a wide range of feet was tested with participants of various shoe sizes to confirm sizes that could be accommodated by the exoskeleton.
Our senior design project consists of designing a biomechanically accurate foot and ankle to be integrated into an exoskeleton being developed by the Lower Limb Exoskeleton Assist Project (LLEAP), as part of the EMPOWER student association at Cal Poly, San Luis Obispo
Wearable Sensing Systems and Data Analytics for Pressure Sensing Socket Prostheses
Prosthetics have been widely used as the primary solution for lower limb amputations, but residual limb volume fluctuations have posed challenges to the effectiveness and comfortability of these devices. In this project, we aim to observe pressure distribution patterns in the prosthetic socket during gait using sensing technology and investigate the performance of different machine learning algorithms on determining good or bad fit
Exploration of ESP32 Vulnerabilities and Malware
The rapid expansion of the Internet of Things (IoT) has revolutionized industries by enabling connected smart devices to monitor, communicate, and automate tasks in real-time. Central to the functioning of many IoT systems are microcontrollers like the ESP32, a versatile and low-cost microcontroller known for its integrated Wi-Fi and Bluetooth capabilities. The ESP32\u27s powerful processing, energy efficiency, and adaptability make it a popular choice for IoT applications ranging from smart home devices to industrial automation. However, as IoT adoption grows, so too do the security challenges posed by vulnerabilities in these devices, particularly within ESP32-based systems. For this project, I explored different vulnerabilities and malware attacks on the ESP32 microchip
Enhancing Place-based Interaction with Emotion AI and Augmented Reality
This project explores the integration of augmented reality (AR) and Emotion AI technologies to enhance user experiences in physical environments. By seamlessly merging virtual elements with real-world contexts, we aim to deepen individuals’ interactions and perceptions of their surroundings. Leveraging AR technology enables users to access contextual information, engage with interactive content, and navigate spaces with heightened immersion and understanding. Additionally, Emotion AI enhances these experiences by detecting and responding to users’ emotional states, fostering personalized and emotionally resonant interactions. We aim to integrate digital content within physical environments using mixed-reality headsets equipped with eye-tracking capabilities and consumer-grade wireless EEG devices. Through innovative methods, we seek to enhance the overall user experience and create dynamic, impactful interactions in cultural, urban, and architectural settings. Furthermore, this initiative aims to enrich the educational journey of students by providing hands-on experience in space design, artificial intelligence for enhancing human interactions, and, ideally, technology-driven connections with cultural heritage. By exploring spatial and affective computing topics, students will gain invaluable insights into the potential of emerging technologies to transform place-based affect-driven interactions for diverse audiences