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1. ChainLinkFX: The Raspberry Pi as a Guitar Effects Processor

open_access
Open Access
Author:
Fay, Brian P
Title:
ChainLinkFX: The Raspberry Pi as a Guitar Effects Processor
Area of Honors:
Music
Keywords:
Music
Guitar
Effects
Raspberry
Pi
Audio
Programming
MIDI
Pure Data
File:
Download Fay_Brian_chainlinkfx.pdfDownload buttonlistener.cDownload MakefileDownload Raspberry_Pi_Guitar.quneopresetDownload mainDevelopment.pdDownload looper.pdDownload reverb.pdDownload cubicDistortion.pdDownload eq.pdDownload chainLink.pdDownload granular.pdDownload feedbackDelay.pdDownload flanger.pdDownload bypassLooperIn.pdDownload bypass.pdDownload bottomUpperChain.pdDownload topUpperChain.pdDownload pdScriptVanillaDownload README.txt
Thesis Supervisors:
Mark Edward Ballora, Thesis Supervisor
Mark Edward Ballora, Thesis Honors Advisor
Paul Barsom, Faculty Reader

2. Digital Application of MoCA-based Neuroscience

open_access
Open Access
Author:
Doyle, Nicholas Matthew
Title:
Digital Application of MoCA-based Neuroscience
Area of Honors:
Computer Science
Keywords:
Computer Science
iOS
Application
Programming
iPad
MoCA
Montreal Cognitive Assessment
MCI
Mild Cognitive Impairment
File:
Download Doyle_Nicholas_digitalapplicationofmocabasedneuroscience.pdf
Thesis Supervisors:
Dr. John Joseph Hannan, Thesis Supervisor
Dr. John Joseph Hannan, Thesis Honors Advisor
Dr. Jesse Louis Barlow, Faculty Reader

3. A representation of investor learning behavior through cellular genetic algorithms

open_access
Open Access
Author:
Peredo Centellas, Alvaro Ramiro
Title:
A representation of investor learning behavior through cellular genetic algorithms
Area of Honors:
Finance
Keywords:
Genetic Algorithm
GA
Learning Behavior
Finance
Mathematics
Programming
Python
Evolutionary Algorithm
Cellular
Volatility
Technical Analysis
INX
S&P500
Investor
Population
Mutation Rate
Crossover Rate
Natural Selection
Evolution
Genes
File:
Download A_Representation_of_Investor_Learning_Behavior_Through_Cellular_Genetic_Algorithms_Peredo_Alvaro.pdf
Thesis Supervisors:
Jingzhi Huang, Thesis Supervisor
Dr. Brian Spangler Davis, Thesis Honors Advisor

4. Investigating energy integration time limits for listener envelopment perception using a real-time adaptable hybrid impulse response method

open_access
Open Access
Author:
Savage, Evan Michael
Title:
Investigating energy integration time limits for listener envelopment perception using a real-time adaptable hybrid impulse response method
Area of Honors:
Computer Science
Keywords:
Acoustics
Listener Envelopment
Max MSP
Programming
Digital Signal Processing
Ambisonics
Convolution
Subjective Perception
Concert Hall Acoustics
File:
Download Thesis_Final_Submission_-_Evan_Savage.pdf
Thesis Supervisors:
Michelle Celine Vigeant, Thesis Supervisor
Dr. Jesse Louis Barlow, Thesis Honors Advisor