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Impacts on Web Presence
Get PDFA case study on adventures in branding, site redesign, and user engagement as a response to the pandemic and the changing needs of users, sharing experiences in gathering input and support from students and other employees in order to meet the needs of their users and improve accessibility
Sweating the Energy Bill: Extreme Weather, Poor Households, and the Energy Spending Gap
Get PDFWe estimate the relationship between temperature and energy spending for both low and higher-income U.S. households. We find both groups respond similarly (in percentage terms) to moderate temperatures, but low-income households’ energy spending is half as responsive to extreme temperatures. Consistent with low-income households cutting back on necessities to afford their energy bills, we find similar disparities in the food spending response to extreme temperature. These results suggest adaptation to extreme weather, such as air conditioning use, is prohibitively costly for households experiencing poverty
AS-952-22 Resolution on Cross-Disciplinary Studies Minors and Semesters
Get PDFConverts the requirements of Cross-Disciplinary Studies Minors to from quarter unit requirements to semester unit requirements
Carrier Card for Nvidia Jetson AGX Xavier
Get PDFThis project prototypes and implements custom carrier cards for interfacing with the Nvidia Jetson AGX Javier within the Zendar Processing Unit (ZPU). The Jetson module is an AI computer used as a computing system for autonomous machines, including robots, drones, and self-driving cars. The carrier card functions as an I/O interface with the Jetson module, and it is designed for and sponsored by Zendar, a start-up designing high-resolution radar imaging systems. The purpose of the carrier card is to function as a collection of multiple I/O interfaces, including HDMI, USB, and PCIE, for users to control the Jetson, to input radar data, and to output a video feed from the GPU. It is also capable of supplying up to 40W from an external source to power the Jetson under full computing conditions. The carrier card features one power switch, one HDMI port, one micro-USB port, two USB-A ports, one Ethernet port, one PCIe Gen4 connector, and debug interfaces. The carrier card has the same form factor as the Jetson module and features a low profile to seamlessly slot into current ZPU enclosures
Hum Synthesizer
Get PDFMost modern music, especially the popular and rising genres such as pop music and rap music are more reliant on music synthesizers than ever before. While other instruments are readily used to sample background noises, the main form of sound generation is becoming more digital rather than using acoustic instruments. However, many people that want to make music aren’t familiarized with traditional music theory and would have difficulty using a traditional synthesizer. The Hum Synthesizer aims to allow a wider audience to access the functions of a traditional synthesizer by using voice controls rather than keyboard controls. If the user decides to alter and output their own voice, they shall select one of two modes from the control box: pitch-corrected mode or exact live mode. The pitch-corrected mode adjusts the user’s sung or hummed pitch and plays the musical note closest to the user’s input. The exact live mode takes the user’s hum and plays the exact same pitch with the same vibrato as the input sound, essentially working as a music amp. The Hum Synthesizer also gauges the user’s hum volume level and outputs an audio with the same volume for all modes. The Hum Synthesizer allows anyone to become a musician with only their voice
Alzheimer’s Detection With The Discrete Wavelet Transform And Convolutional Neural Networks
No full textAlzheimer’s disease slowly destroys an individual’s memory, and it is estimated to impact more than 5.5 million Americans. Over time, Alzheimer’s disease can cause behavior and personality changes. Current diagnosis techniques are challenging because individuals may show no clinical signs of the disease in the initial stages. As of today, there is no cure for Alzheimer’s. Therefore, symptom management is key, and it is critical that Alzheimer’s is detected early before major cognitive damage.
The approach implemented in this thesis explores the idea of using the Discrete Wavelet Transform (DWT) and Convolutional Neural Networks (CNN) for Alzheimer’s detection. The neural network is trained and tested using Magnetic Resonance Image (MRI) brain scans from the ADNI1 (Alzheimer’s Disease Neuroimaging Initiative) dataset; and various mother wavelets and network hyperparameters are implemented to identify the optimal model. The resulting model can successfully identify patients with mild Alzheimer’s disease (AD) and the ones that are cognitively normal (NL) with an average accuracy of accuracy of 77.53±2.37%, an f1-score of 77.03±3.24%, precision of 80.63±11.03%, recall or sensitivity or 77.90±11.52%, and a specificity of 77.53±2.37%
Evaluating Traditional and Novel Modalities of Self-Monitoring in Females with Low-Literacy & Obesity: A Feasibility Study
Get PDFThis study aimed to determine the feasibility of three distinct self-monitoring modalities employed as part of a weight-loss intervention among Spanish- and Mixtec-speaking women with low-no literacy who were overweight or obese (body mass index, BMI\u3e 25). Primary outcomes assessed include self-monitoring adherence, weight, body composition, and diet quality. Participants (n=18) were recruited from the Cal Poly Women and Infants Mobile Health Unit, and contacted if they had a BMI\u3e 25 and did not attend school beyond elementary level (6th grade). Upon enrollment, participants were asked to attend a weekly meeting at which the lifestyle intervention was delivered by a trained research assistant. In addition, all participants were randomized to one of three self-monitoring modalities (written-diary, photographs, audio-recordings), which they were prescribed to adhere to throughout the study. Adherence was evaluated weekly and participants were provided tailored feedback the day following the group meetings. Body composition and dietary habits were assessed at pre- and post-intervention visits. Participants (N=18; aged 41.3 ± 7.3 years; 100% female; BMI 34.6 ± 4.0) in all three groups were assessed on four different measures of adherence to self-monitoring (% total adherence, ≥3 submissions, ≥2 submissions, ≥1 submission). Percent total adherence ± standard deviation (SD) was on average 44.1 ± 34.4% with 48.8% in the written-diary group, 46.4% in the photos group and 37.1% in the audio-recording group (p=0.878). In accordance with previous studies supporting the efficacy of self-monitoring in weight loss, adherence was also assessed on 75% of days weekly. Upon examining ≥2 and ≥3 submissions daily for 75% of days weekly, adherence was highest in the written-diary group (54.4% and 49.1%, respectively), followed by the photos (15.1% and 38%, respectively) and audio-recording groups (20.7% vs 30.6%). Body composition and weight were assessed using an electronic scale and Tanita Bioelectrical Impedance Scale (BIA) scale at baseline and post-intervention. Weight loss observed was 6.4 ± 3.5 lbs (mean ± SD or 3.7% body weight (BW). Weight loss was greatest in the photos group with 7.6 ± 4.7 lbs, followed by the audio-recording group with 6.8 ± 3.9 lbs, and the written-diary group with 4.8 ± 4.2 lbs (p=0.588). Change in percent body fat was not significantly different across the three groups with an average of 2.1 ± 1.6% body fat lost. Mean attendance at weekly intervention meetings was 76.4% and was similar across groups. Finally, diet quality was significantly improved during the intervention with a reported 20.8% increase in consumption of servings of fruit daily, a 54.5% increase in servings of vegetables consumed daily, and overall 82.4% more participants using measuring cups while preparing food, and 58% less participants consuming fast food in the past 7 days.
The application of written-diaries, photographs and audio recordings are all feasible and acceptable modalities of self-monitoring for promoting self-regulation in a population of Hispanic women with BMI\u3e25 and low-literacy. Future research efforts should continue to explore the application of existing and novel self-monitoring methods in order to determine the most optimal way to engage with this subpopulation
Paso Robles Police Department Shooting Range Shade Structure
Get PDFThe Paso Robles Police Department has been a partner for multiple senior projects working to develop improvements for their shooting range. The shooting range is used extensively by officers year-round, with the climate being hot in the summer and rainy in the winter. We wanted to provide a shade structure located between the two shipping containers used for storage so that the officers would have a sheltered place to provide instruction, clean their weapons, and rest in between rounds on the range. This type of project was new to all three of us in the group – Parker Smith, Kevin Jaggers and myself – so extensive planning was required prior to the start of construction. Throughout construction, we had to continually problem solve and learn how to put our plans into practice to build this structure. Overall, this was a great learning experience, and we are glad to be able to provide a physical product that enhances officers’ experiences at the shooting range
Reality Capture Course Content: Exposing the Next Generation of Builders to Technology Moving the Industry Forward
Get PDFThis paper discusses the development and execution of lecture and laboratory educational content regarding reality capture technology and workflows. These educational modules were created to cover different use cases for reality capture technology that are currently being used in the construction industry. They also show how reality capture plays a role in the larger virtual design in construction (BIM) process. Importantly, these labs were designed to be completed with the LiDAR scanner on a typical iPhone, which has lowered the barrier to entry for reality capture education and use in industry. While the initial teaching of these courses was done in a synchronous in person format, content was also created to allow for these lessons to be completed asynchronously and remote, to provide students and faculty flexibility. This adds to the knowledge base of students in higher education by teaching elements of the BIM process not typically covered in a standard curriculum. The goal of this project was to provide a hands-on project for students, and faculty to understand how BIM can be used, and is currently being used on construction jobsites