Matching Items (7)
Description
This creative project thesis involves electronic music composition and production, and it uses some elements of algorithmic music composition (through recurrent neural networks). Algorithmic composition techniques are used here as a tool in composing the pieces, but are not the main focus. Thematically, this project explores the analogy between artificial neural networks and neural activity in the brain. This project consists of three short pieces, each exploring these concept in different ways.
ContributorsKarpur, Ajay (Author) / Suzuki, Kotoka (Thesis director) / Ingalls, Todd (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The Lightning Audio capstone group, consisting of Brian Boerhinger, Rahul Nandan, Jaime Ramirez, and Niccolo Magnotto (myself), united in the effort to prove the feasibility of a consumer grade plasma arc speaker. This was achieved in group's prototype design, which demonstrates the potential for a refined product in its conventional interfacing, casing, size, safety, and aesthetics. If the potential for an excellent ionization-based loudspeaker product were realized, it would be highly profitable in its reasonable cost of production, novelty, and place in a large and fitting market.
ContributorsMagnotto, Niccolo John (Author) / Roedel, Ronald (Thesis director) / Huffman, James (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2014-05
Description
This thesis is a proposition for an addition to an engineering project that involves creating a heads up display for a scuba diving mask which displays important safety information. The premise of this thesis includes three different features: distress, distance, and direction. The distress feature is to alert a diver that their “buddy diver” is having an emergency and is requiring attention. Distance and direction are intended to be included on the heads up display, informing the diver of the relative location of their “buddy diver” in case they have lost sight of them. A set of requirements was created to find the most practical solutions. From these requirements and extensive research, three potential methods of underwater communication were found; electromagnetic waves in the radio frequency range, optical waves, and acoustic waves. Of these three methods, acoustic waves were found to be most feasible for the scope of this project. Using modems and transducers, an acoustic signal is able to be sent from one diver to another in order to detect relative location as well as send a message of distress. Ultimately, two possible concepts were designed, with one deemed as most advantageous. This concept engages the use of four transponders that have the ability to transmit and receive high frequencies, minimizes blind spots, and is small enough to not cause discomfort or be obstructive to the divers experience. Due to the nature of this application, the team is able to propose a path of development for a compact communication system between scuba divers.
ContributorsNossaman, Grace (Co-author) / Hocken, Chase (Co-author) / Padilla, Bryan (Co-author) / Richmond, Christ D. (Thesis director) / Baumann, Alicia (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This thesis is a proposition for an addition to an engineering project that involves creating a heads up display for a scuba diving mask which displays important safety information. The premise of this thesis includes three different features: distress, distance, and direction. The distress feature is to alert a diver that their “buddy diver” is having an emergency and is requiring attention. Distance and direction are intended to be included on the heads up display, informing the diver of the relative location of their “buddy diver” in case they have lost sight of them. A set of requirements was created to find the most practical solutions. From these requirements and extensive research, three different methods of underwater communication were found, but only one, acoustics, was feasible for the scope of this project. Using modems and transducers, an acoustic signal is able to be sent from one diver to another in order to detect relative location as well as send a message of distress. Ultimately, two possible concepts were designed, with one deemed as most advantageous. This concept engages the use of four transponders that have the ability to transmit and receive high frequencies, minimizes blind spots, and is small enough to not cause discomfort or be obstructive to the divers experience.
ContributorsHocken, Chase (Co-author) / Nossaman, Grace (Co-author) / Padilla, Bryan (Co-author) / Richmond, Christ D (Thesis director) / Baumann, Alicia (Committee member) / Electrical Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This thesis is a proposition for an addition to an engineering project that involves creating a heads up display for a scuba diving mask which displays important safety information. The premise of this thesis includes three different features: distress, distance, and direction. The distress feature is to alert a diver that their “buddy diver” is having an emergency and is requiring attention. Distance and direction are intended to be included on the heads up display, informing the diver of the relative location of their “buddy diver” in case they have lost sight of them. A set of requirements was created to find the most practical solutions. From these requirements and extensive research, three potential methods of underwater communication were found; electromagnetic waves in the radio frequency range, optical waves, and acoustic waves. Of these three methods, acoustic waves were found to be most feasible for the scope of this project. Using modems and transducers, an acoustic signal is able to be sent from one diver to another in order to detect relative location as well as send a message of distress. Ultimately, two possible concepts were designed, with one deemed as most advantageous. This concept engages the use of four transponders that have the ability to transmit and receive high frequencies, minimizes blind spots, and is small enough to not cause discomfort or be obstructive to the divers experience. Due to the nature of this application, the team is able to propose a path of development for a compact communication system between scuba divers.
ContributorsPadilla, Bryan (Co-author) / Nossaman, Grace (Co-author) / Hocken, Chase (Co-author) / Richmond, Christ D. (Thesis director) / Baumann, Alicia (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The purpose of this project is to create a useful tool for musicians that utilizes the harmonic content of their playing to recommend new, relevant chords to play. This is done by training various Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) on the lead sheets of 100 different jazz standards. A total of 200 unique datasets were produced and tested, resulting in the prediction of nearly 51 million chords. A note-prediction accuracy of 82.1% and a chord-prediction accuracy of 34.5% were achieved across all datasets. Methods of data representation that were rooted in valid music theory frameworks were found to increase the efficacy of harmonic prediction by up to 6%. Optimal LSTM input sizes were also determined for each method of data representation.
ContributorsRangaswami, Sriram Madhav (Author) / Lalitha, Sankar (Thesis director) / Jayasuriya, Suren (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Modern audio datasets and machine learning software tools have given researchers a deep understanding into Music Information Retrieval (MIR) applications. In this paper, we investigate the accuracy and viability of using a machine learning based approach to perform music genre recognition using the Free Music Archive (FMA) dataset. We compare the classification accuracy of popular machine learning models, implement various tuning techniques including principal components analysis (PCA), as well as provide an analysis of the effect of feature space noise on classification accuracy.
ContributorsKhondoker, Farib (Co-author) / Wildenstein, Diego (Co-author) / Spanias, Andreas (Thesis director) / Ingalls, Todd (Committee member) / Electrical Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05