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Articles 1 - 12 of 12
Full-Text Articles in Physical Sciences and Mathematics
Clueless: Revolutionizing Sustainable Fashion And Combating Overconsumption, Tanya Ravichandran
Clueless: Revolutionizing Sustainable Fashion And Combating Overconsumption, Tanya Ravichandran
Graphic Communication
“Clueless” revolutionizes sustainable fashion by combating wardrobe overconsumption and the industry’s carbon footprint, using AI to suggest personalized outfits from existing wardrobes tailored to weather and wear history. It enhances user engagement through features like outfit ‘shuffle’ and provides insights into wardrobe utilization and carbon impact.
It’s more than an app; it’s a step towards a greener wardrobe and a healthier planet.
Wordmuse, John M. Nelson
Wordmuse, John M. Nelson
Computer Science and Software Engineering
Wordmuse is an application that allows users to enter a song and a list of keywords to create a new song. Built on Spotify's API, this project showcases the fusion of music composition and artificial intelligence. This paper also discusses the motivation, design, and creation of Wordmuse.
Integrated Visionaries, David Ocelotl Garcia, Eden Knapp, Catherine Trujillo
Integrated Visionaries, David Ocelotl Garcia, Eden Knapp, Catherine Trujillo
Creative Works
Integrated Visionaries, David Ocelotl Garcia, University Art Collection, College of Science and Mathematics. Acrylic on board.
Cal Poly’s College of Science and Mathematics unveiled a 22’ by 6’foot diversity-themed mural on May 26, 2017 in the main lobby of the Warren J. Baker Center for Science and Mathematics (No. 180). The mural—“Integrated Visionaries”—represents the study and research of science and mathematics while considering themes of inclusivity, diversity and community. It integrates a stylized approach that allows viewers to see themselves in the mural. This catalog is based on the onsite installation and opening reception for the mural in May 2017.
Automatic Music Transcription With Convolutional Neural Networks Using Intuitive Filter Shapes, Jonathan Sleep
Automatic Music Transcription With Convolutional Neural Networks Using Intuitive Filter Shapes, Jonathan Sleep
Master's Theses
This thesis explores the challenge of automatic music transcription with a combination of digital signal processing and machine learning methods. Automatic music transcription is important for musicians who can't do it themselves or find it tedious. We start with an existing model, designed by Sigtia, Benetos and Dixon, and develop it in a number of original ways. We find that by using convolutional neural networks with filter shapes more tailored for spectrogram data, we see better and faster transcription results when evaluating the new model on a dataset of classical piano music. We also find that employing better practices shows …
The Elder Scrolls V: Skyrim Stamina Combat Overhaul, Richard Rattner
The Elder Scrolls V: Skyrim Stamina Combat Overhaul, Richard Rattner
Liberal Arts and Engineering Studies
No abstract provided.
Concatenative Synthesis For Novel Timbral Creation, James Eric Bilous
Concatenative Synthesis For Novel Timbral Creation, James Eric Bilous
Master's Theses
Modern day musicians rely on a variety of instruments for musical expression. Tones produced from electronic instruments have become almost as commonplace as those produced by traditional ones as evidenced by the plethora of artists who can be found composing and performing with nothing more than a personal computer. This desire to embrace technical innovation as a means to augment performance art has created a budding field in computer science that explores the creation and manipulation of sound for artistic purposes. One facet of this new frontier concerns timbral creation, or the development of new sounds with unique characteristics that …
Visualizing Relationships Between Related Variables: Improving Physics Education Through D3.Js Network Visualizations, Stephanie Friend
Visualizing Relationships Between Related Variables: Improving Physics Education Through D3.Js Network Visualizations, Stephanie Friend
Liberal Arts and Engineering Studies
phiMap is a web application started by Cal Poly professors and students to aid professors in teaching physics. I developed Javascript visualizations for phiMap that serve to simplify the processes of both teaching and learning physics. These visualizations aim to present relationships between physics variables in an easy to understand manner, and they could eventually have a huge impact on physics education.
Using Spectral Analysis To Evaluate Flute Tone Quality, Ron Yorita
Using Spectral Analysis To Evaluate Flute Tone Quality, Ron Yorita
Master's Theses
Many skilled flutists place a high priority on "good" tone quality, or timbre. Timbre can be defined as the audible difference in character that a listener perceives for two notes played at the same pitch. Different timbres are determined by the combination and balance of harmonics that comprise a note. Unlike pitch and rhythm, timbre is difficult to objectively quantify. This project explores (1) how tone quality is described by skilled flutists, (2) whether the harmonic spectrum has some correlation with tone quality, (3) whether certain harmonic spectra are preferred, or considered "good".
Thirty-one flutists ranging from high school students …
Designing A Goal Journaling Application, Kevin Lufkin
Designing A Goal Journaling Application, Kevin Lufkin
Liberal Arts and Engineering Studies
Achieving a personal goal and making a positive change in one’s life can be a difficult and elusive task. Everyday people are creating and setting new goals for themselves, but more often than not these goals are never realized. Motivation, determination, and discipline are all key elements when it comes to accomplishing a goal, but if there is no clear idea as to how to connect the dots from where one is to where one wants to be these important qualities lose their effectiveness.
The applications that exist today largely fit in the realm of goal/task management and planners. This …
Procedural Music Generation And Adaptation Based On Game State, Timothey Andrew Adam
Procedural Music Generation And Adaptation Based On Game State, Timothey Andrew Adam
Master's Theses
Video game developers attempt to convey moods to emphasize their game's narrative. Events that occur within the game usually convey success or failure in some way meaningful to the story's progress. Ideally, when these events occur, the intended change in mood should be perceivable to the player. One way of doing so is to change the music. This requires musical tracks to represent many possible moods, states and game events. This can be very taxing on composers, and encoding the control flow (when to transition) of the tracks can prove to be tricky as well.
This thesis presents AUD.js, a …
Juxtaposing Nasa’S Aeronet Aod With Carb Pm Data Over The San Joaquin Valley To Facilitate Multi-Angle Imaging Spectroradiometer (Misr) Pm Pollution Research, John Kanemoto
STAR Program Research Presentations
Airborne particulate matter (PM) has been shown to increase the risk for asthma, chronic bronchitis, cardiopulmonary complications, and respiratory cell membrane damage/infection/leakage. PM levels are currently analyzed from two perspectives: stationary land-based monitoring (LBM) sites and total Aerosol Optical Depth (AOD) atmospheric column measurements. Both perspectives often leave miles of space between measuring locations and will have a continually increasing cost from introducing/maintaining sites. The Multi-angle Imaging SpectroRadiometer (MISR) satellite team hopes to begin investigating/archiving PM levels comprehensively via inputting MISR AOD measurements into a function/model which predicts the amount of ground level PM.
In the future, multivariable spatial correlations …
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Master's Theses
In the field of speech recognition, an algorithm must learn to tell the difference between "a nice rock" and "a gneiss rock". These identical-sounding phrases are called oronyms. Word frequency dictionaries are often used by speech recognition systems to help resolve phonetic sequences with more than one possible orthographic phrase interpretation, by looking up which oronym of the root phonetic sequence contains the most-common words.
Our paper demonstrates a technique used to validate word frequency dictionary values. We chose to use frequency values from the UNISYN dictionary, which tallies each word on a per-occurance basis, using a proprietary text corpus, …